{"meta":{"query_hash":"237059f23efb","filters":{"topic":"Advanced Proteomics Techniques and Applications"},"cohort_total":1745,"direct_labels_cover":4,"predictions_cover":1745,"exported":1745,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/237059f23efb","api":"https://metacan.xera.ac/api/v1/cohort?topic=Advanced+Proteomics+Techniques+and+Applications"},"results":[{"id":"W1003536350","doi":"10.1016/j.jprot.2015.07.025","title":"An extensive library of surrogate peptides for all human proteins","year":2015,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"UniProt; Proteome; Proteomics; Computational biology; Human proteome project; Computer science; Quantitative proteomics; Bioinformatics; Biology; Biochemistry","score_opus":0.04071727710038246,"score_gpt":0.32869757442714814,"score_spread":0.28798029732676567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1003536350","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8995638,0.00009207905,0.09817117,0.00042401036,0.00002514258,0.0007154151,0.000084502135,0.00005479886,0.00086908037],"genre_scores_gemma":[0.40591112,0.000026965401,0.59336925,0.00005376524,0.0002585422,0.00010208337,0.00001788097,0.000040213916,0.0002201893],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889535,0.000014848496,0.00060198555,0.00014143919,0.00016984141,0.00017654712],"domain_scores_gemma":[0.99803615,0.000029446684,0.00095141976,0.00031343626,0.00048125465,0.00018830819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026417596,0.0001398841,0.00030544447,0.000070606206,0.000053547225,0.000032593976,0.00040940172,0.000120349534,0.00002245837],"category_scores_gemma":[0.00008670842,0.00012489596,0.00014791149,0.0000668198,0.000074617834,0.0004691485,0.000050834562,0.00025071247,8.7735475e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020383467,0.0001808285,0.00040075116,0.00009181546,0.00003661352,0.0000045256284,0.00022551407,0.00014795805,0.99310863,0.004339197,0.0008165844,0.00044371863],"study_design_scores_gemma":[0.00076670654,0.00040722926,0.00001811948,0.00009114947,0.000031567874,0.000043307937,0.00021770965,0.0001971931,0.9178721,0.07603186,0.0041852198,0.00013787711],"about_ca_topic_score_codex":0.0000057128645,"about_ca_topic_score_gemma":0.0000011697446,"teacher_disagreement_score":0.49519807,"about_ca_system_score_codex":0.000049780327,"about_ca_system_score_gemma":0.00017441361,"threshold_uncertainty_score":0.50931096},"labels":[],"label_agreement":null},{"id":"W111275185","doi":"10.1385/1-59745-275-0:209","title":"Quantitative Proteomics by Stable Isotope Labeling and Mass Spectrometry","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Stable isotope labeling by amino acids in cell culture; Mass spectrometry; Quantitative proteomics; Tandem mass tag; Chemistry; Proteomics; Analyte; Stable isotope ratio; Isotope; Isobaric labeling; Tandem mass spectrometry; Chromatography; Isotopic labeling; Protein mass spectrometry; Computational biology; Analytical Chemistry (journal); Biochemistry; Biology; Physics","score_opus":0.02638395779941716,"score_gpt":0.2793951118273845,"score_spread":0.25301115402796737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W111275185","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30263162,0.0074403384,0.29698977,0.00006606325,0.000024096427,0.0011286694,0.00032417863,0.0007494154,0.39064586],"genre_scores_gemma":[0.20659697,0.00043534397,0.7577755,0.000074087366,0.00016637101,0.00097541825,0.000086768756,0.00011268309,0.03377684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991055,0.000007742159,0.00021695798,0.00031560942,0.00010505929,0.00024910868],"domain_scores_gemma":[0.99946934,0.000032860895,0.00012125893,0.00028899818,0.000042518295,0.00004502348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006472626,0.0001594713,0.00016058872,0.00002919264,0.00018793721,0.00007637847,0.0001627892,0.00008892165,0.00004207959],"category_scores_gemma":[0.000007273313,0.00016856888,0.000030479127,0.00001784097,0.00008775211,0.00006436703,0.000073899944,0.00021030554,0.0000023034572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000176386,0.000026125726,0.00003216143,0.0000720297,0.000014252262,0.0000017275528,0.000042234013,0.0000145121785,0.875879,0.12227142,0.0010288612,0.00060004013],"study_design_scores_gemma":[0.00025774827,0.000022502469,0.0000029866455,0.000031687883,0.000016784958,0.000002228151,0.00003640237,0.0006935519,0.9151868,0.039758224,0.043750875,0.00024017355],"about_ca_topic_score_codex":0.00029669597,"about_ca_topic_score_gemma":0.000010613989,"teacher_disagreement_score":0.46078575,"about_ca_system_score_codex":0.000042241903,"about_ca_system_score_gemma":0.00001023032,"threshold_uncertainty_score":0.6874039},"labels":[],"label_agreement":null},{"id":"W1128563296","doi":"10.71781/29722","title":"Phosphoproteome profiling approaches for comprehensive monitoring of cell signaling events in interferon-[gamma] stimulated macrophages","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Interferon gamma; Computational biology; Cell biology; Biology; Computer science; Chemistry; Immunology; Cytokine","score_opus":0.08105066354613577,"score_gpt":0.345951625806905,"score_spread":0.26490096226076926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1128563296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944171,0.00037628075,0.0012253294,0.0000026472753,0.000049102735,0.002093036,0.00015146121,0.000010107272,0.001674938],"genre_scores_gemma":[0.7930448,0.000070944014,0.20199458,5.941241e-7,0.00004950302,0.0011303996,0.0013132963,0.000071872106,0.0023240356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983373,0.000011531145,0.00065677264,0.0005748472,0.00014846951,0.00027103876],"domain_scores_gemma":[0.9987356,0.00008682101,0.00061530364,0.00035629683,0.00015565939,0.000050296887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008090648,0.00033285716,0.0005409118,0.00009233506,0.000100981175,0.000026371326,0.0006486249,0.0003662128,0.00009409402],"category_scores_gemma":[0.000016847851,0.00037208974,0.00012004402,0.00014460289,0.000025015175,0.000114481736,0.00010759237,0.0004105128,0.000005444808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051893963,0.00018809176,0.00058702467,0.00069330784,0.00004342323,0.0000033372469,0.0009676794,0.0018584012,0.98336685,0.000003176353,0.0000023772186,0.011767384],"study_design_scores_gemma":[0.0007004521,0.000040691313,0.000039558134,0.00083950744,0.000035602505,0.000001643325,0.0022657497,0.0009437068,0.99452555,0.00016902579,0.00010271454,0.00033577098],"about_ca_topic_score_codex":0.00004464547,"about_ca_topic_score_gemma":0.000004714957,"teacher_disagreement_score":0.20137233,"about_ca_system_score_codex":0.00011682665,"about_ca_system_score_gemma":0.00010629943,"threshold_uncertainty_score":0.9998731},"labels":[],"label_agreement":null},{"id":"W1139981628","doi":"10.2174/0929866522666150821113127","title":"Recent Developments in Computational Methods for De Novo Peptide Sequencing from Tandem Mass Spectrometry (MS/MS)","year":2015,"lang":"en","type":"article","venue":"Protein and Peptide Letters","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Tandem mass spectrometry; Computational biology; Peptide; DNA sequencing; Mass spectrometry; Tandem mass tag; Proteogenomics; Proteomics; Chemistry; Biology; Genetics; Chromatography; Genome; Quantitative proteomics; Genomics; Biochemistry; DNA; Gene","score_opus":0.041381789845763677,"score_gpt":0.33029743010491336,"score_spread":0.2889156402591497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1139981628","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34133375,0.00014043268,0.65482026,0.0021387546,0.000011952857,0.00043081585,0.000030609684,0.00007806021,0.0010153492],"genre_scores_gemma":[0.06292197,0.000038984253,0.93495166,0.0010731377,0.00010137028,0.0006626237,0.00010518219,0.000030210058,0.000114848386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883866,0.00003613345,0.00031058598,0.0003667305,0.00012923022,0.0003186592],"domain_scores_gemma":[0.99939156,0.0001327916,0.00012737689,0.00016094079,0.000053815336,0.00013351662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042801935,0.00017987781,0.0002048339,0.000075572454,0.00008571616,0.000049615584,0.00016642071,0.00009851792,0.00005090568],"category_scores_gemma":[0.00011244967,0.00019466184,0.000038676895,0.00014614289,0.000048735463,0.0000972903,0.000056493973,0.00024758643,0.0000032405032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049363083,0.00002294322,0.0050566047,0.00004487833,0.0000292518,0.0000070634424,0.00033788546,0.0005457325,0.9805813,0.00072086963,0.0003148268,0.012289319],"study_design_scores_gemma":[0.0020937251,0.000032894317,0.00077901664,0.00025270454,0.000021922577,0.000025275414,0.00024613357,0.00536585,0.80399203,0.13300009,0.053474598,0.0007157246],"about_ca_topic_score_codex":0.000106286534,"about_ca_topic_score_gemma":0.000016681168,"teacher_disagreement_score":0.2801314,"about_ca_system_score_codex":0.0005368526,"about_ca_system_score_gemma":0.00011769635,"threshold_uncertainty_score":0.7938079},"labels":[],"label_agreement":null},{"id":"W1140416679","doi":"","title":"Tandem mass spectrometry analysis of secreted myocilin protein complexes","year":2004,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université Laval","funders":"","keywords":"Tandem mass spectrometry; Chemistry; Myocilin; Tandem; Mass spectrometry; Chromatography; Biology; Materials science","score_opus":0.032654830942546766,"score_gpt":0.3443537274052643,"score_spread":0.31169889646271753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1140416679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293303,0.000028588773,0.0030647928,0.0001758094,0.000010001,0.00023007103,0.000049734717,0.00008941426,0.003418563],"genre_scores_gemma":[0.8917942,0.0000018072732,0.10790782,0.000034563993,0.000018679228,0.00010904951,0.000023770166,0.000011262305,0.00009886726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813807,0.000027339858,0.00040932166,0.000631165,0.0003746769,0.00041939894],"domain_scores_gemma":[0.9987333,0.0000698442,0.00035914485,0.0004012673,0.00023479914,0.00020167096],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00036696283,0.00020560545,0.00041788656,0.00036798575,0.00028299147,0.000023992547,0.0006752199,0.0001311259,0.0004085267],"category_scores_gemma":[0.00029017407,0.00019745027,0.00012276537,0.0038654264,0.004308531,0.00018759331,0.00016117483,0.00028537528,0.000008783871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006664711,0.00006810291,0.00958277,0.000010609891,0.00007894209,0.000012766285,0.00013111938,0.00030236994,0.98312217,0.006665491,6.322742e-7,0.000018372473],"study_design_scores_gemma":[0.00016070022,0.0001051558,0.0059339358,0.00002820314,0.000071741655,0.000014392072,0.0001280214,0.0004548607,0.8956674,0.09724481,0.00000645352,0.00018432687],"about_ca_topic_score_codex":0.00013687725,"about_ca_topic_score_gemma":0.0000032074724,"teacher_disagreement_score":0.10484303,"about_ca_system_score_codex":0.00024639515,"about_ca_system_score_gemma":0.00030388075,"threshold_uncertainty_score":0.99840117},"labels":[],"label_agreement":null},{"id":"W1166803293","doi":"10.1016/b978-0-12-394447-4.10070-7","title":"Mass Spectrometry-based Methodologies for Studying Proteolytic Networks and the Degradome","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mass spectrometry; Chromatography; Chemistry","score_opus":0.07085233916845145,"score_gpt":0.3201070750309991,"score_spread":0.24925473586254765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1166803293","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000087964145,0.0032346277,0.26316538,0.00022448553,0.000038058122,0.0026032527,0.00006226169,0.0002528844,0.7304102],"genre_scores_gemma":[0.00055553863,0.00013359023,0.4187802,0.00012224435,0.00032369953,0.0027262252,0.000036063382,0.00012896924,0.57719344],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99848557,0.00002619214,0.00043275053,0.00053088815,0.00019735396,0.000327279],"domain_scores_gemma":[0.9978118,0.0007521853,0.00042836496,0.0007811197,0.00013713069,0.00008940856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008808208,0.00044489445,0.0006800929,0.00007017748,0.0002340587,0.00007142099,0.00044036572,0.00039688052,0.000041273554],"category_scores_gemma":[0.000106531996,0.0003160462,0.00023730127,0.000017403005,0.00043698668,0.000020869993,0.00014561023,0.0006901796,0.000002659095],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003485007,0.0000085960355,0.0000039492666,0.00040266078,0.0002427698,0.0000045297484,0.000059775866,0.000112929665,0.0014242962,0.1364087,0.00012445403,0.86085886],"study_design_scores_gemma":[0.001381832,0.000049442955,1.8287868e-7,0.0002619056,0.00028950936,0.000008318966,0.000022574517,0.0009445304,0.002260258,0.6675721,0.3267005,0.00050887006],"about_ca_topic_score_codex":4.067725e-7,"about_ca_topic_score_gemma":0.0000016379606,"teacher_disagreement_score":0.86034995,"about_ca_system_score_codex":0.00012693169,"about_ca_system_score_gemma":0.00008583157,"threshold_uncertainty_score":0.9999292},"labels":[],"label_agreement":null},{"id":"W118717374","doi":"10.1007/978-1-60327-064-9_28","title":"Isolation of Phosphoproteins","year":2008,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Isolation (microbiology); Posttranslational modification; Biochemistry; Chemistry; Computational biology; Biology; Bioinformatics; Enzyme","score_opus":0.04450508849883181,"score_gpt":0.45817837419886936,"score_spread":0.4136732857000376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118717374","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.359113e-7,0.49712545,0.50147426,0.0000020225332,0.000010236243,0.00017806188,0.000018875837,0.00002220177,0.001168456],"genre_scores_gemma":[7.811541e-8,0.5017721,0.49775937,0.0000048992256,0.00001124358,0.00032209145,0.00006689464,0.000022385684,0.000040963634],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853283,0.00021046508,0.00064433983,0.00038786329,0.0000387791,0.00018570802],"domain_scores_gemma":[0.9987272,0.00016149005,0.00046335303,0.0005892748,0.00003199257,0.00002669789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020781085,0.00024986122,0.0010786697,0.00012346666,0.000021972663,0.0000019044475,0.0003458828,0.00067926495,0.00011090876],"category_scores_gemma":[0.00015484473,0.00022992243,0.00031225645,0.00027000945,0.000118851734,0.000008802223,0.00012314625,0.000441716,0.000002987335],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014704038,0.000027184164,0.0000022130598,0.0012976285,0.000023764534,0.0000032658681,0.000005315509,0.0000010862904,0.047862995,0.0049619726,0.0000033955478,0.9458097],"study_design_scores_gemma":[0.00005923764,0.000014189842,2.3776025e-8,0.00088895176,0.00003892631,0.00002916136,0.0000011662247,0.00001417378,0.100499526,0.013159994,0.8850797,0.0002149638],"about_ca_topic_score_codex":0.00002277193,"about_ca_topic_score_gemma":5.5803474e-7,"teacher_disagreement_score":0.9455947,"about_ca_system_score_codex":0.00007259017,"about_ca_system_score_gemma":0.0000839571,"threshold_uncertainty_score":0.93759644},"labels":[],"label_agreement":null},{"id":"W125795121","doi":"10.1007/978-1-62703-405-0_13","title":"Absolute Quantitation of Proteins in Human Blood by Multiplexed Multiple Reaction Monitoring Mass Spectrometry","year":2013,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Genome British Columbia; University of Victoria; Genome Canada","keywords":"Selected reaction monitoring; Mass spectrometry; Chromatography; Chemistry; Biomarker discovery; Electrospray ionization; Proteomics; Quantitative proteomics; Liquid chromatography–mass spectrometry; Tandem mass spectrometry","score_opus":0.02349034651104057,"score_gpt":0.38640922923849447,"score_spread":0.3629188827274539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W125795121","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4829508,0.00009443412,0.5163375,0.000022883665,0.000011994494,0.00033258478,0.0000055972323,0.00003226601,0.00021193393],"genre_scores_gemma":[0.34509337,0.000025452235,0.65410995,0.0000038953585,0.000012131993,0.0006859937,0.00002676582,0.000015762293,0.000026701304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988567,0.00013685964,0.0004140635,0.0003160077,0.00005123354,0.00022510087],"domain_scores_gemma":[0.99928796,0.000118824326,0.00020169924,0.00031795655,0.000044835408,0.000028691838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033689995,0.00013227639,0.00023536796,0.00015604307,0.000029911356,0.0000064376923,0.0001754829,0.00022725944,0.000025988018],"category_scores_gemma":[0.00023640826,0.00014474569,0.000051643518,0.00025515357,0.000061189225,0.00005002766,0.000046016772,0.00028493593,0.0000014044612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006079078,0.00009942124,0.009159736,0.000030790572,0.00001077179,9.2678715e-7,0.000030766038,0.000019744704,0.9872444,0.0011254661,8.877808e-7,0.0022709826],"study_design_scores_gemma":[0.0004511477,0.00003870472,0.00084184954,0.00003000854,0.0000059347103,0.0000012935573,0.00005927524,0.00042112215,0.9782618,0.019685771,0.00006972064,0.00013331969],"about_ca_topic_score_codex":0.000718059,"about_ca_topic_score_gemma":0.000009315914,"teacher_disagreement_score":0.13785744,"about_ca_system_score_codex":0.000066294066,"about_ca_system_score_gemma":0.000009417217,"threshold_uncertainty_score":0.5902558},"labels":[],"label_agreement":null},{"id":"W134485984","doi":"10.1007/978-1-59745-432-2_7","title":"2D PAGE Databases for Proteins in Human Body Fluids","year":2008,"lang":"en","type":"book-chapter","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Québec","funders":"","keywords":"Proteomics; Computer science; The Internet; Database; World Wide Web; Data science; Biology","score_opus":0.08522786549619386,"score_gpt":0.319894074314808,"score_spread":0.2346662088186141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W134485984","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013037893,0.0016612153,0.0061044567,0.0000072387265,0.000018089795,0.002067832,0.0011945335,0.00040676404,0.9884095],"genre_scores_gemma":[0.002589091,0.001052595,0.017645683,0.00006743236,0.00056643115,0.005252971,0.0015706941,0.00030381905,0.97095126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811167,0.0000045391043,0.00057256746,0.00073780253,0.00020535712,0.0003680938],"domain_scores_gemma":[0.9982509,0.000045297205,0.0002976535,0.0012435658,0.00007368483,0.00008887172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006683678,0.0004863885,0.0004899889,0.00010206163,0.00028889682,0.000033188942,0.0005482617,0.00035650478,0.00022506434],"category_scores_gemma":[0.000009744394,0.0005440597,0.00019865794,0.000004167091,0.00019298788,0.00005528469,0.00026054945,0.0005853497,0.000005344658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042569136,0.00006827379,8.017438e-7,0.00076113263,0.000073582174,0.000044872933,0.00014005188,0.0000027202855,0.05006277,0.9317696,0.009239276,0.0077943425],"study_design_scores_gemma":[0.0003945291,0.000027300628,2.8565717e-7,0.00039485327,0.000042565116,0.0000067191713,0.0000024812848,0.00002494697,0.12263387,0.019941116,0.85597515,0.0005561808],"about_ca_topic_score_codex":0.00014722938,"about_ca_topic_score_gemma":0.00008941487,"teacher_disagreement_score":0.9118285,"about_ca_system_score_codex":0.00011518564,"about_ca_system_score_gemma":0.000046126923,"threshold_uncertainty_score":0.9997011},"labels":[],"label_agreement":null},{"id":"W142738751","doi":"10.2144/000112490","title":"Search for the Undiscovered Peptide","year":2007,"lang":"en","type":"article","venue":"BioTechniques","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Sequence (biology); Biology; Computational biology; Homology (biology); Peptide sequence; Sequence analysis; Spider; Sequence database; Peptide; Genetics; Gene; Protein sequencing; Biochemistry","score_opus":0.02831528546567481,"score_gpt":0.3373992559557889,"score_spread":0.3090839704901141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W142738751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009377534,0.00013383647,0.9759778,0.0008372373,0.000010090578,0.0004522707,0.000051804673,0.000584761,0.012574673],"genre_scores_gemma":[0.6435002,0.00027065445,0.35278732,0.00022662501,0.0002615682,0.00046850176,0.000032208725,0.000041700656,0.0024112002],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931395,0.0000024164895,0.0001633264,0.00018490915,0.00009472123,0.00024066551],"domain_scores_gemma":[0.99924886,0.0001926322,0.000048609232,0.00042035308,0.00005010196,0.000039469753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003379407,0.00009853208,0.00007880964,0.000026714628,0.0002061234,0.000029437453,0.0003102866,0.00013577365,0.0000646284],"category_scores_gemma":[0.00001922601,0.00007119773,0.00007999402,0.00008754695,0.000087875604,0.000044581597,0.00006635502,0.00017503357,0.000004536441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048447062,0.000035705758,0.00017029805,0.000034793815,0.000013425591,7.3541395e-7,0.00004038828,0.0000023703212,0.88946515,0.07561533,0.0036106335,0.030962694],"study_design_scores_gemma":[0.000051543,0.000012938417,0.000022216456,0.000012528083,0.0000055533096,0.0000027692795,0.000045420176,0.00006154726,0.80164087,0.006673662,0.19138552,0.00008540332],"about_ca_topic_score_codex":0.000059760885,"about_ca_topic_score_gemma":0.000008618124,"teacher_disagreement_score":0.63412267,"about_ca_system_score_codex":0.00006144213,"about_ca_system_score_gemma":0.0000210561,"threshold_uncertainty_score":0.29033595},"labels":[],"label_agreement":null},{"id":"W1489032582","doi":"10.1016/s0076-6879(03)68005-5","title":"Use of Limited Proteolysis to Identify Protein Domains Suitable for Structural Analysis","year":2003,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteolysis; Computational biology; Chemistry; Biochemistry; Biology; Enzyme","score_opus":0.07309565393278183,"score_gpt":0.4578323905659326,"score_spread":0.3847367366331508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489032582","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43719447,0.00010284858,0.5601906,0.00014045305,0.000100054116,0.0016419545,0.000091666276,0.00010597852,0.00043193757],"genre_scores_gemma":[0.10148133,0.000023622079,0.89175785,0.00027674748,0.000045984445,0.0053924904,0.000063334315,0.00010495695,0.0008537003],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99063385,0.0040069544,0.0020259828,0.0017442848,0.00024281973,0.0013461158],"domain_scores_gemma":[0.99097705,0.0057499944,0.00083756464,0.0019186984,0.00029221165,0.00022449024],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00628748,0.00071275566,0.0021367867,0.0019110708,0.0001907789,0.00003854058,0.0009677006,0.0013349892,0.0004905316],"category_scores_gemma":[0.009530178,0.0007407052,0.0005556582,0.003454288,0.0004896259,0.00018222784,0.00029002334,0.0012588977,0.0000043922496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042996378,0.00035091463,0.007369999,0.00013431339,0.00038223862,0.000022858063,0.00032982734,0.004048472,0.9339036,0.04056356,0.00004679888,0.012417466],"study_design_scores_gemma":[0.0012590428,0.0003773239,0.0075770305,0.00006607095,0.00032623383,0.000047810972,0.0001591319,0.0007699758,0.84613377,0.13636547,0.006099016,0.0008191324],"about_ca_topic_score_codex":0.00041224674,"about_ca_topic_score_gemma":0.00065271003,"teacher_disagreement_score":0.33571315,"about_ca_system_score_codex":0.00043253426,"about_ca_system_score_gemma":0.00013107347,"threshold_uncertainty_score":0.9999615},"labels":[],"label_agreement":null},{"id":"W1492022414","doi":"10.1002/9780470571224.pse337","title":"Enhanced Proteomic Analysis by <scp>HPLC</scp> Prefractionation","year":2010,"lang":"en","type":"other","venue":"Pharmaceutical Sciences Encyclopedia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"High-performance liquid chromatography; Proteomics; Chromatography; Chemistry; Gel electrophoresis; Electrophoresis; Computational biology; Biology; Biochemistry","score_opus":0.01762700757890624,"score_gpt":0.3409383230753142,"score_spread":0.32331131549640796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492022414","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026901823,0.00036448915,0.04093543,0.00013685142,0.00014242022,0.0005953896,0.00030558673,0.0006906125,0.95413905],"genre_scores_gemma":[0.00675965,0.004966295,0.045627993,0.00022549496,0.0009972459,0.001592023,0.0004285891,0.00027703738,0.93912566],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.997388,0.000026142381,0.00039401854,0.0009990579,0.0006203105,0.0005724813],"domain_scores_gemma":[0.9985869,0.00018550729,0.00042490638,0.0004522151,0.000055598426,0.000294882],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026619373,0.00040463798,0.0004077151,0.00027483434,0.00025146245,0.00009992531,0.0008533616,0.0005672247,0.008784088],"category_scores_gemma":[0.00019530574,0.00036984097,0.00020078804,0.0010970919,0.00051352516,0.00015042096,0.00014610671,0.0009840527,0.00020375407],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006366567,0.00046168448,0.0007497515,0.00021779732,0.00043955565,0.0000025766988,0.00007709768,0.00004802671,0.6355724,0.0039559887,0.31790704,0.040561724],"study_design_scores_gemma":[0.00013303051,0.000008526256,0.000008791875,0.000021544405,0.00028511006,0.0000013083923,0.000009226531,0.00092119456,0.17862958,0.0010139985,0.81878746,0.00018026834],"about_ca_topic_score_codex":0.000102330574,"about_ca_topic_score_gemma":0.00003643209,"teacher_disagreement_score":0.50088036,"about_ca_system_score_codex":0.000089759036,"about_ca_system_score_gemma":0.000112938986,"threshold_uncertainty_score":0.99987537},"labels":[],"label_agreement":null},{"id":"W1498901528","doi":"10.1109/cibcb.2004.1393949","title":"Comparison of discrimination methods for peptide classification in tandem mass spectrometry","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Linear discriminant analysis; Artificial intelligence; Quadratic classifier; Naive Bayes classifier; Pattern recognition (psychology); Tandem mass spectrometry; Proteomics; Computer science; Support vector machine; Mass spectrometry; Hidden Markov model; Isobaric labeling; Machine learning; Bayes' theorem; Identification (biology); Chemistry; Chromatography; Protein mass spectrometry; Bayesian probability; Biology","score_opus":0.06904376470198344,"score_gpt":0.443660967078529,"score_spread":0.37461720237654555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498901528","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026356403,0.000048144102,0.9517072,0.0004820314,0.0000045626057,0.00019295767,0.000005028206,0.000060960007,0.021142753],"genre_scores_gemma":[0.47154996,0.0000118777225,0.52775776,0.000007525296,0.000022168595,0.00013876303,0.000025800638,0.0000065150894,0.00047965787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934435,0.000008523026,0.00032164122,0.00016330506,0.000054375916,0.00010779063],"domain_scores_gemma":[0.9994663,0.00011568028,0.00015211619,0.00019796446,0.00004649933,0.000021450987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017841431,0.0000712458,0.00015016047,0.000063811895,0.000028987079,0.000006744818,0.00011535905,0.00007475451,0.0001202396],"category_scores_gemma":[0.000050011102,0.00007050154,0.00004459087,0.0001289636,0.000023624787,0.00007552027,0.000012927731,0.00008786172,0.0000014617572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054335014,0.000095951866,0.0049464335,0.000026669093,0.000002909453,6.092169e-9,0.00005720813,0.000049550978,0.907422,0.04906723,0.00010332212,0.038223285],"study_design_scores_gemma":[0.00017923268,0.000011831492,0.0010268822,0.000012481323,0.000007735028,2.2240393e-7,0.00030126446,0.041077655,0.9323736,0.019589419,0.0053368723,0.000082851],"about_ca_topic_score_codex":0.000005207245,"about_ca_topic_score_gemma":0.000013780436,"teacher_disagreement_score":0.44519356,"about_ca_system_score_codex":0.000114904135,"about_ca_system_score_gemma":0.000011387153,"threshold_uncertainty_score":0.28749695},"labels":[],"label_agreement":null},{"id":"W1499332930","doi":"10.1002/9780470559277.ch110207","title":"Measurement of Protein Phosphorylation Stoichiometry by SRM‐MS","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Chemical Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canada Research Chairs","keywords":"Phosphorylation; Phosphopeptide; Peptide; Dephosphorylation; Chemistry; Protein phosphorylation; Mass spectrometry; Stoichiometry; Electrospray; Chromatography; Posttranslational modification; Biochemistry; Protein kinase A; Phosphatase; Enzyme; Organic chemistry","score_opus":0.048552828686540976,"score_gpt":0.36739230584420424,"score_spread":0.31883947715766325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499332930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8767404,0.004051616,0.0421685,0.00017505784,0.00009283979,0.071528874,0.00021294128,0.00033511533,0.0046946337],"genre_scores_gemma":[0.84893835,0.000012698812,0.0052756136,0.0000063446987,0.000092457834,0.14558774,0.000060909526,0.000016244714,0.000009615592],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987722,0.00002073493,0.00047234414,0.00023375468,0.00015333052,0.0003476554],"domain_scores_gemma":[0.99924934,0.000023494558,0.00023500633,0.0003243978,0.00008087728,0.00008690208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030251173,0.00016724956,0.00024645493,0.0000480754,0.000023986699,0.000004332979,0.0002719978,0.00021278771,0.00016060518],"category_scores_gemma":[0.00013391899,0.00015569423,0.000060581886,0.00021205387,0.00012469274,0.00006801517,0.00010992206,0.00034074724,0.000007575137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040723222,0.0005004014,0.012445136,0.00020090937,0.000004961028,1.4613471e-8,0.00001715584,1.9420777e-7,0.9462838,0.0021269985,0.0000967528,0.03828291],"study_design_scores_gemma":[0.00039534862,0.000019550283,0.000033896325,0.00020455095,0.0000030035005,5.092053e-7,0.0000048384964,0.000012375509,0.9398791,0.0034813609,0.055805407,0.00016003194],"about_ca_topic_score_codex":0.0000059703334,"about_ca_topic_score_gemma":2.3443432e-7,"teacher_disagreement_score":0.07405887,"about_ca_system_score_codex":0.00018451357,"about_ca_system_score_gemma":0.00003090248,"threshold_uncertainty_score":0.63490266},"labels":[],"label_agreement":null},{"id":"W1504238345","doi":"10.1002/bmc.1742","title":"Analysis of <i>Staphylococcus</i> enterotoxin B using differential isotopic tags and liquid chromatography quadrupole ion trap mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Health Canada","keywords":"Chemistry; Chromatography; Enterotoxin; Mass spectrometry; Staphylococcus aureus; Peptide; Escherichia coli; Biochemistry; Bacteria","score_opus":0.015594364891943244,"score_gpt":0.25654118667574816,"score_spread":0.24094682178380492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504238345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9102358,0.00033035185,0.08804899,0.000019172106,0.000040015042,0.00026003376,0.00021828333,0.0002126017,0.00063473237],"genre_scores_gemma":[0.96689916,0.0002245011,0.03245973,0.00003638575,0.00008859593,0.00012297159,0.00012414354,0.000039252347,0.0000052529285],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99776334,0.000030995387,0.000717861,0.0006140509,0.00041119446,0.00046254668],"domain_scores_gemma":[0.99858344,0.000042440948,0.00037368035,0.0006252908,0.000055419136,0.00031975715],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011262109,0.00035865654,0.00068246725,0.0013250306,0.00014597696,0.000026264725,0.00041070557,0.00032123263,0.0010407596],"category_scores_gemma":[0.000009062742,0.00033858113,0.0006386271,0.0026112504,0.00074048847,0.00010743725,0.000118280484,0.0002601375,0.0000014475957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069146394,0.00042003408,0.027109802,0.00018684298,0.00085553376,0.0000056646313,0.00015636807,1.799087e-7,0.97021186,0.0007950661,0.000035617828,0.00015390124],"study_design_scores_gemma":[0.0008087838,0.00024678477,0.008649178,0.00013283012,0.0010387661,0.000010111733,0.00018183589,0.0006910401,0.9853527,0.0012994868,0.0010290288,0.00055947114],"about_ca_topic_score_codex":0.00016454677,"about_ca_topic_score_gemma":0.0000057220395,"teacher_disagreement_score":0.056663346,"about_ca_system_score_codex":0.000025960222,"about_ca_system_score_gemma":0.000026328235,"threshold_uncertainty_score":0.9999066},"labels":[],"label_agreement":null},{"id":"W1504709176","doi":"10.1002/9783527619733.ch14","title":"Software Tools for Proteomics Technologies","year":2005,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Genome Canada","keywords":"Computer science; Proteomics; Software engineering; Software; Computational biology; Data science; Programming language; Chemistry; Biology; Biochemistry","score_opus":0.01853430154128492,"score_gpt":0.28584513189463184,"score_spread":0.2673108303533469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504709176","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012947248,0.00024842803,0.47906655,0.00021534963,0.000008770175,0.00078880665,0.00039184457,0.005429346,0.5138496],"genre_scores_gemma":[0.0000031591048,0.00022865359,0.5118671,0.000022676051,0.00012520337,0.0025870374,0.00012070133,0.0002712486,0.48477423],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920905,6.529448e-7,0.00016230985,0.00035030482,0.00006209406,0.0002156085],"domain_scores_gemma":[0.99911916,0.000039504135,0.00016740999,0.00062905997,0.00002436825,0.000020502923],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000020292246,0.00023390244,0.00022574361,0.000059922786,0.000045450506,0.000040253377,0.0004023132,0.00067739235,0.0033044943],"category_scores_gemma":[0.00009150112,0.00021475196,0.00009879028,0.000047016943,0.00006142995,0.00003566973,0.000096588235,0.00020610524,0.000046688172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006458838,0.00004421974,0.0000045519414,0.00030697582,0.000036112368,3.5441516e-7,0.000002310564,0.0000015466254,0.0071987654,0.018230299,0.67170894,0.30245948],"study_design_scores_gemma":[0.00009809005,0.000005219313,1.8971857e-8,0.000077364195,0.000011103143,0.0000015769609,0.00001824711,0.000009006483,0.14606072,0.0055118813,0.8479577,0.0002491236],"about_ca_topic_score_codex":0.0000073835645,"about_ca_topic_score_gemma":0.000014334059,"teacher_disagreement_score":0.30221033,"about_ca_system_score_codex":0.00005172076,"about_ca_system_score_gemma":0.000030729676,"threshold_uncertainty_score":0.99760664},"labels":[],"label_agreement":null},{"id":"W150596842","doi":"10.1007/978-1-4419-5913-3_26","title":"Assigning Probabilities to Mascot Peptide Identification Using Logistic Regression","year":2010,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mascot; Logistic regression; Identification (biology); Logistic model tree; Artificial intelligence; Computer science; Support vector machine; Statistics; Pattern recognition (psychology); Mathematics; Biology","score_opus":0.05612304667690199,"score_gpt":0.4154745440662651,"score_spread":0.3593514973893631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W150596842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857205,0.0020330024,0.009663439,0.0002796902,0.00012461717,0.00019789286,0.000004640777,0.00005516395,0.0019210629],"genre_scores_gemma":[0.965012,0.00018808982,0.03429491,0.00009992588,0.00014373474,0.00016445034,0.000021399805,0.0000090362355,0.00006642485],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992459,0.000009840502,0.00024959608,0.00029501898,0.000041835152,0.00015783231],"domain_scores_gemma":[0.9995832,0.000069368194,0.0000893348,0.00018388813,0.000020189107,0.000054028864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009387271,0.00011462142,0.000157834,0.000057587626,0.000081008046,0.000005243117,0.00010745748,0.00008277764,0.00009334491],"category_scores_gemma":[0.00010171427,0.00008658201,0.000012242637,0.00008025413,0.00029200237,0.00010221737,0.00006958906,0.00016941968,0.0000013881528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016811042,0.00002580089,0.0041393884,0.000017459726,0.0000011333173,6.4088533e-7,0.00023663006,0.000007052941,0.98413265,0.0060448106,0.00000891897,0.00536869],"study_design_scores_gemma":[0.00026827274,0.00009522918,0.000070368835,0.00013245057,0.0000041844987,0.000018990793,0.0015029701,0.00024033041,0.97015005,0.018150304,0.0092157945,0.00015106551],"about_ca_topic_score_codex":0.000047757283,"about_ca_topic_score_gemma":0.000019309424,"teacher_disagreement_score":0.02463147,"about_ca_system_score_codex":0.000035979534,"about_ca_system_score_gemma":0.000008301252,"threshold_uncertainty_score":0.35307118},"labels":[],"label_agreement":null},{"id":"W1507315797","doi":"10.1007/978-1-61779-139-0_16","title":"Use of Colloidal Silica-Beads for the Isolation of Cell-Surface Proteins for Mass Spectrometry-Based Proteomics","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Membrane; Chemistry; Chromatography; Colloidal silica; Ultracentrifuge; Bead; Centrifugation; Electrophoresis; Lysis; Mass spectrometry; Protein purification; Biochemistry; Materials science; Coating; Organic chemistry","score_opus":0.05101772245095251,"score_gpt":0.3709023589263976,"score_spread":0.31988463647544507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507315797","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033202067,0.000054697666,0.9643674,0.000057019835,0.000013193157,0.0020175644,0.00014371544,0.000023452849,0.000120889374],"genre_scores_gemma":[0.038050514,0.000008942003,0.96029425,0.000028769104,0.000009744403,0.0015122372,0.000026458192,0.000027517755,0.00004160092],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901146,0.00009098207,0.00039465036,0.000263894,0.000039967912,0.00019906132],"domain_scores_gemma":[0.9985074,0.0005438754,0.00033732667,0.0004621844,0.00012735145,0.000021870761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005898236,0.00013333299,0.00026727977,0.00005381914,0.000040874114,0.0000035299743,0.00027445622,0.0002214847,0.000014417504],"category_scores_gemma":[0.0003313884,0.000110833265,0.00014014178,0.00019091966,0.00014569455,0.000018435418,0.00003872921,0.00012964787,7.51462e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018604872,0.00008791468,0.0004717408,0.00009837799,0.000016756116,7.847945e-8,0.000027560434,0.00026272266,0.98865056,0.009914606,0.0000019690704,0.00028164618],"study_design_scores_gemma":[0.00037696533,0.00016423258,0.000010187044,0.0000122906185,0.000026551026,3.4262982e-7,0.000016713075,0.008032741,0.96971667,0.021306423,0.000226616,0.00011029354],"about_ca_topic_score_codex":0.000056112152,"about_ca_topic_score_gemma":0.000003330745,"teacher_disagreement_score":0.018933935,"about_ca_system_score_codex":0.00004998374,"about_ca_system_score_gemma":0.000055944995,"threshold_uncertainty_score":0.4519649},"labels":[],"label_agreement":null},{"id":"W1508333421","doi":"10.3389/fpls.2015.00369","title":"Gel-based proteomics in plants: time to move on from the tradition","year":2015,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Agriculture and Agri-Food Canada","keywords":"Proteomics; Biology; Computational biology; Botany; Genetics; Gene","score_opus":0.0162570444754352,"score_gpt":0.24165404191485174,"score_spread":0.22539699743941655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508333421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88741225,0.00003103494,0.10241967,0.0014921122,0.00012947433,0.00072387763,0.0010865628,0.000102346065,0.0066026472],"genre_scores_gemma":[0.60107726,0.000008231327,0.3968275,0.0011088926,0.000079047706,0.0005062772,0.00017475164,0.000018181672,0.00019986411],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990297,0.000009795279,0.00016394527,0.00032739088,0.00024630394,0.00022285411],"domain_scores_gemma":[0.9994528,0.00004741184,0.000057823112,0.00033016817,0.000016555965,0.00009521382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032030192,0.00009872231,0.000110499954,0.00008962711,0.000074448915,0.000038049682,0.00058311276,0.000054239597,0.000015659933],"category_scores_gemma":[0.00009296358,0.000078909965,0.000014688493,0.00031680588,0.00013902885,0.00010833694,0.000035694873,0.000201718,0.000036077337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017060705,0.0009749507,0.04269508,0.000033442702,0.000014270085,0.000088257,0.003866877,0.05067931,0.7109797,0.0038261025,0.16329363,0.021842325],"study_design_scores_gemma":[0.0011333718,0.00006602497,0.002414832,0.0003591189,0.0000042730358,0.0000054483144,0.00066350756,0.14849377,0.7967584,0.03558658,0.013966931,0.00054772076],"about_ca_topic_score_codex":0.000075137774,"about_ca_topic_score_gemma":0.0000068545087,"teacher_disagreement_score":0.2944078,"about_ca_system_score_codex":0.00031828458,"about_ca_system_score_gemma":0.00015503651,"threshold_uncertainty_score":0.3217855},"labels":[],"label_agreement":null},{"id":"W1512102225","doi":"10.1002/rcm.6127","title":"Perfluorooctanoic acid and ammonium perfluorooctanoate: volatile surfactants for proteome analysis?","year":2012,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Chemistry; Perfluorooctanoic acid; Chromatography; Ammonium; Proteome; Environmental chemistry; Organic chemistry; Biochemistry","score_opus":0.02554746697491645,"score_gpt":0.30800173989624446,"score_spread":0.282454272921328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512102225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8416876,0.014958676,0.1255097,0.0016524062,0.00004537569,0.0017179195,0.0004505448,0.00055792765,0.013419853],"genre_scores_gemma":[0.6608728,0.0014686934,0.33604935,0.000020213894,0.000047151105,0.0011178015,0.00015701253,0.000035507015,0.00023145859],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819106,0.00005392116,0.0005630247,0.00039900164,0.00018125866,0.00061174814],"domain_scores_gemma":[0.9968324,0.0002920671,0.0002495226,0.002370756,0.0000919672,0.00016333885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053239317,0.00029114058,0.00045624972,0.00048769085,0.00038179386,0.0000713414,0.0010106324,0.00021314068,0.00047352543],"category_scores_gemma":[0.00010873518,0.00031460772,0.00017707667,0.0014736425,0.00020453964,0.00036697724,0.00030831853,0.0005280976,0.000006768154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009687509,0.00064241566,0.155098,0.00012498353,0.00039307232,3.3033544e-7,0.00044737326,0.000023873863,0.82344073,0.014982045,0.00010734317,0.004642983],"study_design_scores_gemma":[0.0019064555,0.00014577385,0.024495233,0.00011835689,0.00082911557,0.000027398075,0.001138137,0.029978508,0.89094037,0.023667527,0.024969906,0.001783242],"about_ca_topic_score_codex":0.000018429633,"about_ca_topic_score_gemma":0.000029072404,"teacher_disagreement_score":0.21053964,"about_ca_system_score_codex":0.00028647803,"about_ca_system_score_gemma":0.00004181359,"threshold_uncertainty_score":0.9999306},"labels":[],"label_agreement":null},{"id":"W151524220","doi":"10.1016/b978-0-12-381373-2.00083-1","title":"Microwave Digestion of Protein Samples for Proteomics Applications","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Proteomics; Digestion (alchemy); Shotgun proteomics; Trypsin; Computational biology; Sample preparation; Chemistry; Chromatography; Biology; Enzyme; Biochemistry","score_opus":0.0222044405925937,"score_gpt":0.2643581647109571,"score_spread":0.2421537241183634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W151524220","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000058031586,0.00097600307,0.072838955,0.00004096736,0.000013466336,0.0054673953,0.0010747492,0.00019068838,0.9193397],"genre_scores_gemma":[0.0010568181,0.00009817042,0.27792904,0.000019493216,0.00040063635,0.011542115,0.0004700285,0.00015772363,0.708326],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985239,0.0000034640295,0.0006063451,0.00043399216,0.00015014126,0.0002821575],"domain_scores_gemma":[0.9980443,0.000056833167,0.0007438692,0.0008359942,0.00021854232,0.0001004507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000120713186,0.00038404446,0.00046276825,0.0000716782,0.00013577168,0.000017193224,0.00035855416,0.00052294787,0.00011704239],"category_scores_gemma":[0.000013369571,0.00040712414,0.00027789344,0.000011392578,0.00017329567,0.000036579666,0.00010731216,0.00036485895,0.000017237213],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018115554,0.000019699077,0.0000015071195,0.000550784,0.000038352275,6.9638716e-8,0.000023029992,3.314841e-7,0.20568231,0.13296188,0.00001279984,0.66069114],"study_design_scores_gemma":[0.00010588312,0.000011925932,1.7864961e-7,0.00024782025,0.00007094117,0.0000027757692,0.0000021075923,0.0000016405477,0.2711614,0.14576304,0.5823765,0.00025578355],"about_ca_topic_score_codex":4.9796404e-7,"about_ca_topic_score_gemma":0.0000040857294,"teacher_disagreement_score":0.6604353,"about_ca_system_score_codex":0.00012137477,"about_ca_system_score_gemma":0.00009974745,"threshold_uncertainty_score":0.99983805},"labels":[],"label_agreement":null},{"id":"W1519422750","doi":"10.1002/0471250953.bi0816s39","title":"Using ProHits to Store, Annotate, and Analyze Affinity Purification–Mass Spectrometry (AP‐MS) Data","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; University of Toronto; Ontario Institute for Cancer Research; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; National University of Singapore; Canada Research Chairs; Wellcome Trust","keywords":"Computer science; Software; Mass spectrometry; Instrumentation (computer programming); Proteomics; Data mining; Protocol (science); Database; Operating system; Chemistry; Chromatography","score_opus":0.1357205422308874,"score_gpt":0.4157277000854843,"score_spread":0.28000715785459696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519422750","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106160656,0.00036857786,0.7890904,0.0001925189,0.00012411663,0.0936019,0.0012875143,0.00055462494,0.008619685],"genre_scores_gemma":[0.0263743,0.00005748462,0.9318944,0.000038822003,0.00020606993,0.041050248,0.00030782513,0.000036888792,0.000033970835],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837095,0.000013835409,0.0006647993,0.0002577099,0.0002356286,0.00045706079],"domain_scores_gemma":[0.9981692,0.000042930646,0.0003179143,0.0011761987,0.000076088974,0.00021766787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004630075,0.00023275093,0.00024886368,0.00017605702,0.00013756043,0.00010014448,0.0006720548,0.00010982053,0.00005469948],"category_scores_gemma":[0.00015732516,0.00022751265,0.0000274858,0.000574772,0.000068648944,0.000977853,0.00044097909,0.00037851877,0.000020040176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041271801,0.005066814,0.37531635,0.016780775,0.00019350115,0.000003486806,0.007457374,0.0008138441,0.20268501,0.039428107,0.008781588,0.3430604],"study_design_scores_gemma":[0.0032909103,0.00017849576,0.007878161,0.0031860955,0.00013559958,0.00007088361,0.0011012048,0.15143946,0.3739314,0.009017844,0.44613627,0.0036336738],"about_ca_topic_score_codex":0.0000041455983,"about_ca_topic_score_gemma":0.0000016811177,"teacher_disagreement_score":0.43735465,"about_ca_system_score_codex":0.00015869632,"about_ca_system_score_gemma":0.00007008271,"threshold_uncertainty_score":0.92776966},"labels":[],"label_agreement":null},{"id":"W1519730847","doi":"10.1016/s0076-6879(07)23027-7","title":"Identification of Histidine Phosphorylations in Proteins Using Mass Spectrometry and Affinity‐Based Techniques","year":2007,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Histidine; Phosphorylation; PEP group translocation; Biochemistry; Protein phosphorylation; Two-component regulatory system; Threonine; Serine; Histidine kinase; Tyrosine; Chemistry; Signal transduction; Phosphoenolpyruvate carboxykinase; Biology; Protein kinase A; Amino acid; Enzyme","score_opus":0.04592698455011953,"score_gpt":0.42824679171262964,"score_spread":0.38231980716251013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519730847","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3137116,0.0003155521,0.6836044,0.00013420149,0.00008692232,0.00067381427,0.00002268461,0.00012621279,0.0013245892],"genre_scores_gemma":[0.2335556,0.00008063681,0.7656566,0.00009698144,0.00004862816,0.000407433,0.000018329223,0.000062860636,0.000072965864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.994352,0.001475822,0.0020386952,0.0011256436,0.00018583478,0.0008220269],"domain_scores_gemma":[0.9940401,0.0038247423,0.00087625324,0.0010252645,0.00012640267,0.00010729009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009736024,0.0004774093,0.0010879899,0.0017718276,0.000110510184,0.000014381253,0.00056917005,0.0010925995,0.00014851912],"category_scores_gemma":[0.0026964666,0.00055173965,0.000120315126,0.0016687097,0.0007341454,0.000118401425,0.00018021686,0.0014824953,0.0000013526518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021113112,0.00047413842,0.010963391,0.000110997455,0.000014564599,0.00003966799,0.00013975527,0.00026001903,0.95512086,0.015124314,0.0000038747735,0.017537287],"study_design_scores_gemma":[0.0007250716,0.00015672874,0.013802574,0.00010876888,0.000023553077,0.00005824455,0.00011791837,0.0011867144,0.89315283,0.08992419,0.00032434377,0.00041908838],"about_ca_topic_score_codex":0.000324731,"about_ca_topic_score_gemma":0.00035728878,"teacher_disagreement_score":0.08205215,"about_ca_system_score_codex":0.00067894196,"about_ca_system_score_gemma":0.00012885973,"threshold_uncertainty_score":0.9996934},"labels":[],"label_agreement":null},{"id":"W1520058176","doi":"10.1016/b978-0-12-385950-1.00013-4","title":"Amino-Terminal Oriented Mass Spectrometry of Substrates (ATOMS)","year":2011,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Edman degradation; Cleavage (geology); Chemistry; Tandem mass spectrometry; Proteases; Mass spectrometry; Amino acid; Biochemistry; Peptide sequence; Biology; Chromatography; Enzyme; Gene","score_opus":0.05402769636583967,"score_gpt":0.40839121955659874,"score_spread":0.3543635231907591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520058176","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53035617,0.0003822824,0.44888937,0.00007027795,0.00034375806,0.0004254668,0.000042810338,0.00020992984,0.01927995],"genre_scores_gemma":[0.1671763,0.00016113164,0.83130634,0.00016957504,0.00009362368,0.00054710027,0.00002881986,0.00010113259,0.00041595855],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99259776,0.0024797441,0.0019161664,0.0015025793,0.00022382147,0.0012799264],"domain_scores_gemma":[0.99371165,0.00341858,0.00087369984,0.0016510132,0.0001522933,0.00019278392],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0045008254,0.0007389016,0.0016777168,0.0011531293,0.00010807855,0.0000100915895,0.0012851823,0.0014400927,0.001882214],"category_scores_gemma":[0.0015971019,0.0007772967,0.0002819837,0.0013976939,0.0012281515,0.00013044105,0.00033171164,0.0020792189,0.00002040145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048336052,0.0008986559,0.02071281,0.00011315455,0.00007434865,0.00028078596,0.0005896473,0.000024829453,0.87648004,0.076445535,0.00003506741,0.023861738],"study_design_scores_gemma":[0.0011319958,0.0004063262,0.017402684,0.0000826996,0.000046654895,0.00034765853,0.00033366724,0.00011934011,0.79758894,0.18092284,0.0009874036,0.00062980875],"about_ca_topic_score_codex":0.00030799146,"about_ca_topic_score_gemma":0.00013518911,"teacher_disagreement_score":0.38241696,"about_ca_system_score_codex":0.00032985042,"about_ca_system_score_gemma":0.0001283427,"threshold_uncertainty_score":0.99985623},"labels":[],"label_agreement":null},{"id":"W1521887573","doi":"10.1074/mcp.m114.047050","title":"Large-Scale Interlaboratory Study to Develop, Analytically Validate and Apply Highly Multiplexed, Quantitative Peptide Assays to Measure Cancer-Relevant Proteins in Plasma","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; U.S. Public Health Service; Broad Institute; National Institute of Standards and Technology; Canary Foundation; Vanderbilt University; University of California, San Francisco; Massachusetts General Hospital","keywords":"Reproducibility; Repeatability; Analyte; Quantitative proteomics; Chromatography; Chemistry; Immunoassay; Biomarker discovery; Computational biology; Proteomics; Biology; Biochemistry; Immunology; Antibody","score_opus":0.022700198636226115,"score_gpt":0.28954370454171247,"score_spread":0.26684350590548633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521887573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7165443,0.00007255819,0.2789781,0.0004854277,0.000021919876,0.0033868016,0.0001555486,0.00013505142,0.00022033145],"genre_scores_gemma":[0.639276,0.0000056324902,0.35754466,0.00017375397,0.000026841852,0.002707101,0.000032020194,0.000091737675,0.0001422453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968538,0.000132216,0.0007278856,0.0010699338,0.0005346614,0.0006814695],"domain_scores_gemma":[0.9976408,0.00003653519,0.00020590308,0.00080345233,0.0007223713,0.0005909646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009434878,0.00050237624,0.00057346164,0.0002314429,0.00013262601,0.00012502559,0.00057417585,0.00019557199,0.000013886756],"category_scores_gemma":[0.00046454687,0.0005331521,0.00006531148,0.0010289027,0.000066925444,0.00013168412,0.0005437506,0.0005948914,0.00004180114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003342671,0.0005811204,0.0029674575,0.00006886302,0.00006964736,0.00010364747,0.004316287,0.0022249434,0.98811144,0.0008473566,0.00008674235,0.00028821148],"study_design_scores_gemma":[0.0015991877,0.0003042615,0.00007621275,0.00016174105,0.000051113966,0.000004404381,0.0031850145,0.004151323,0.9864311,0.0007483809,0.002562423,0.00072480534],"about_ca_topic_score_codex":0.00026695448,"about_ca_topic_score_gemma":0.0010731311,"teacher_disagreement_score":0.07856654,"about_ca_system_score_codex":0.00049115234,"about_ca_system_score_gemma":0.00041602246,"threshold_uncertainty_score":0.999712},"labels":[],"label_agreement":null},{"id":"W1525973260","doi":"","title":"Differential proteomics of metastatic and non-metastatic lung carcinoma cell lines","year":2006,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Alexa Fluor; Chemistry; Molecular biology; Fluorescence; Cell culture; Cytosol; Trypan blue; Polyacrylamide gel electrophoresis; Biochemistry; Cell; Biology","score_opus":0.035232080261312394,"score_gpt":0.3700365351189957,"score_spread":0.3348044548576833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525973260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833616,0.00055734353,0.014017736,0.000117102376,0.000009652844,0.00049095246,0.00013342145,0.00002763521,0.0012845575],"genre_scores_gemma":[0.97657907,0.00019996655,0.020590477,0.000004072176,0.000099873025,0.000996992,0.000028946872,0.000031392367,0.0014692263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998833,0.000022684639,0.00026712468,0.0002861892,0.00027031254,0.00032071062],"domain_scores_gemma":[0.9992186,0.00009805669,0.00009259858,0.0003227872,0.00019889063,0.000069084104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013174274,0.00012384394,0.00020998594,0.000089694215,0.00012903713,0.00003204526,0.00021882274,0.00004204639,0.00026783947],"category_scores_gemma":[0.00001684035,0.00011400536,0.00004428256,0.00020443773,0.00021224089,0.000055960005,0.00013929763,0.0003098653,0.0000022600132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035304452,0.00008659914,0.0024862199,0.00072168896,0.000010174382,0.0000030131428,0.000047270223,0.00003625594,0.99505454,0.00053192745,0.0004328378,0.0005541521],"study_design_scores_gemma":[0.00042827908,0.000021932794,0.000388383,0.000054178065,0.00002211577,0.0000020050172,0.000059753882,0.0018086177,0.9920715,0.0047440315,0.00028161998,0.00011754478],"about_ca_topic_score_codex":0.0009687858,"about_ca_topic_score_gemma":0.000038103793,"teacher_disagreement_score":0.0067825443,"about_ca_system_score_codex":0.00008220347,"about_ca_system_score_gemma":0.00011778488,"threshold_uncertainty_score":0.46490034},"labels":[],"label_agreement":null},{"id":"W1539935972","doi":"10.1007/s12013-007-0048-z","title":"Proteomic Analysis of Human Plasma Proteins by Two-Dimensional Gel Electrophoresis and by Antibody Arrays Following Depletion of High-Abundance Proteins","year":2007,"lang":"en","type":"article","venue":"Cell Biochemistry and Biophysics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Research Council Canada","keywords":"Blood proteins; Chemistry; Proteomics; Antibody; Human plasma; Biochemistry; Gel electrophoresis; Molecular biology; Chromatography; Biology; Gene; Immunology","score_opus":0.0038795489501107115,"score_gpt":0.24154701896197475,"score_spread":0.23766747001186403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539935972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99059033,0.00021956598,0.00827711,0.000021228914,0.0000040046925,0.0003571072,0.00031020498,0.000045246634,0.00017516901],"genre_scores_gemma":[0.9863054,0.000051201092,0.012531211,0.000008169995,0.00003826584,0.00008064779,0.0007729582,0.000024951156,0.0001871904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985534,0.0000076390725,0.0004390968,0.00050511764,0.00021445219,0.00028031392],"domain_scores_gemma":[0.99900496,0.000028849094,0.00042054884,0.00036563113,0.00008008735,0.00009992948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001286706,0.00026261923,0.00042258573,0.00004975977,0.00017986244,0.000017828514,0.00016961366,0.00019293556,0.000012582596],"category_scores_gemma":[0.000009589641,0.00026835606,0.00014846043,0.00041080272,0.00021816189,0.00005933386,0.00007926459,0.00021474731,2.4073452e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006205716,0.0002518151,0.0009816249,0.0003003883,0.0001550754,0.0000010909771,0.00002037584,0.000011735294,0.99786747,0.00007051368,0.000030891293,0.00024696637],"study_design_scores_gemma":[0.000482805,0.00006440614,0.000060596692,0.00006829932,0.00023498152,0.0000011796803,0.000019131117,0.00024785765,0.997987,0.0005358729,0.000019993733,0.0002779096],"about_ca_topic_score_codex":0.00012446223,"about_ca_topic_score_gemma":0.0000016352889,"teacher_disagreement_score":0.004284958,"about_ca_system_score_codex":0.00004367949,"about_ca_system_score_gemma":0.000029362336,"threshold_uncertainty_score":0.9999769},"labels":[],"label_agreement":null},{"id":"W1549514884","doi":"10.1016/s0065-230x(06)96002-3","title":"Mass Spectrometry: Uncovering the Cancer Proteome for Diagnostics","year":2006,"lang":"en","type":"review","venue":"Advances in cancer research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Cancer; Medicine; Biomarker discovery; Clinical trial; Proteomics; Biomarker; Disease; Stage (stratigraphy); Clinical endpoint; Ovarian cancer; Intensive care medicine; Medical physics; Bioinformatics; Internal medicine; Biology","score_opus":0.10885262281350679,"score_gpt":0.5088878984751557,"score_spread":0.4000352756616489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549514884","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000035915202,0.98475784,0.0055359225,0.00019616411,0.00010971733,0.003302105,0.0012112889,0.000076252945,0.0048071006],"genre_scores_gemma":[0.000006289849,0.91308206,0.013246809,0.000013514493,0.0010249076,0.07104228,0.0001518042,0.00014658755,0.0012857475],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965537,0.00007079829,0.0007329362,0.0009620814,0.0006160576,0.0010643821],"domain_scores_gemma":[0.99641275,0.0018711892,0.0003551837,0.0010625075,0.00021395215,0.00008440197],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007887005,0.00046380676,0.0010197527,0.0002705322,0.00036909242,0.00010850425,0.001634084,0.0003461585,0.0002916095],"category_scores_gemma":[0.0002850849,0.00034055652,0.00028590584,0.0014390555,0.00032363491,0.00019299368,0.0003104472,0.0019132092,0.0000073691103],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019951109,0.00006590105,0.000047404872,0.021615585,0.00004795398,0.000006641542,0.000013656518,0.0004286599,0.00013731173,0.0029709497,0.0016950625,0.97295094],"study_design_scores_gemma":[0.00015844316,0.000022730617,2.2955196e-7,0.0077361315,0.000057443463,0.0000022099548,0.000014322598,0.000020747591,0.0015034244,0.025129154,0.96496886,0.0003863057],"about_ca_topic_score_codex":0.0006461822,"about_ca_topic_score_gemma":0.00078342896,"teacher_disagreement_score":0.97256464,"about_ca_system_score_codex":0.0019789592,"about_ca_system_score_gemma":0.0007195575,"threshold_uncertainty_score":0.99990463},"labels":[],"label_agreement":null},{"id":"W1551277508","doi":"","title":"Optimization of immobilized gallium (III) ion affinity chromatography for selective binding and recovery of phosphopeptides from protein digests.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Phosphopeptide; Ammonium hydroxide; Chromatography; Chemistry; Elution; Hydroxide; Phosphoric acid; Selectivity; Reagent; Peptide; Inorganic chemistry; Biochemistry; Organic chemistry","score_opus":0.015372664681301995,"score_gpt":0.22038032576662583,"score_spread":0.20500766108532384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551277508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96705234,0.00012910202,0.03045687,0.000016494549,0.000008189946,0.0013730179,0.00017056256,0.000071591196,0.00072182075],"genre_scores_gemma":[0.90917206,0.00025717617,0.08505544,0.0000032820424,0.000020627303,0.005325214,0.00008416912,0.000019591072,0.0000624355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924266,0.0000078097855,0.000281518,0.00023070832,0.00008095199,0.00015637076],"domain_scores_gemma":[0.99926394,0.00009144338,0.00031081407,0.00018380836,0.00010645978,0.00004354549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008817394,0.000109691784,0.00022470346,0.00005440408,0.00008254553,0.000007385642,0.000093009556,0.000099411925,0.0000094421],"category_scores_gemma":[0.00007675821,0.00011319108,0.000078445555,0.0001769228,0.0000967297,0.000112944006,0.000034152017,0.000072314215,6.598634e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085371046,0.00039730425,0.009917695,0.00029520868,0.00015998958,5.48328e-7,0.00027611997,0.0010821291,0.97669065,0.00047488266,0.00013774584,0.009714023],"study_design_scores_gemma":[0.0005902153,0.000020301028,0.0021631722,0.000035094068,0.000018724482,0.0000011711271,0.000028481954,0.00020779746,0.9948979,0.0018430348,0.00007742189,0.0001166943],"about_ca_topic_score_codex":0.000100423335,"about_ca_topic_score_gemma":0.000003196878,"teacher_disagreement_score":0.057880286,"about_ca_system_score_codex":0.000034736044,"about_ca_system_score_gemma":0.000021461712,"threshold_uncertainty_score":0.46157983},"labels":[],"label_agreement":null},{"id":"W155173319","doi":"10.1007/10_2007_091","title":"Identification of Protein–Protein Interactions by Mass Spectrometry Coupled Techniques","year":2008,"lang":"en","type":"review","venue":"Advances in biochemical engineering, biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Tandem affinity purification; Mass spectrometry; Protein purification; Proteomics; FLAG-tag; Chemistry; Chromatography; Affinity chromatography; Tandem mass spectrometry; Protein mass spectrometry; Tandem mass tag; Top-down proteomics; Quantitative proteomics; Biochemistry; Recombinant DNA","score_opus":0.006390404743305509,"score_gpt":0.2858221268989643,"score_spread":0.2794317221556588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W155173319","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012466885,0.8314392,0.16625533,0.00004116812,0.000030079638,0.0009557813,0.00020491387,0.000814912,0.00013396295],"genre_scores_gemma":[0.00070067216,0.91834074,0.077372916,0.0000023977739,0.00006238356,0.0029204534,0.0002930189,0.00011616153,0.00019127122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99695474,0.000011311649,0.0014740607,0.00087652326,0.00019834627,0.00048503414],"domain_scores_gemma":[0.99777025,0.000078954814,0.0009213919,0.0010945606,0.00006244459,0.000072386996],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000082627266,0.0006414086,0.0014058214,0.0006038667,0.000044708457,0.000011939355,0.0010166148,0.0015033542,0.000058087837],"category_scores_gemma":[0.0002551522,0.0006702379,0.0003202141,0.0011304554,0.00033146146,0.00015551594,0.000198055,0.001692,0.000010477405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004646763,0.000115072056,2.3297171e-7,0.0039707026,0.000033082964,0.0000035212975,0.0000017024493,0.0000028592312,0.89174366,0.0026007858,0.000042444935,0.10148131],"study_design_scores_gemma":[0.000053573596,0.000015482015,5.0207376e-9,0.0021253459,0.000021062704,0.000031849395,0.0000018623114,0.00008127137,0.54017204,0.00061339117,0.45654985,0.000334257],"about_ca_topic_score_codex":0.0000068716085,"about_ca_topic_score_gemma":4.5132256e-7,"teacher_disagreement_score":0.4565074,"about_ca_system_score_codex":0.00044793062,"about_ca_system_score_gemma":0.000061898805,"threshold_uncertainty_score":0.99979293},"labels":[],"label_agreement":null},{"id":"W1551743743","doi":"10.1016/s0065-3233(03)01024-6","title":"Proteomics in Drug Discovery","year":2003,"lang":"en","type":"review","venue":"Advances in protein chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Proteomics; Proteome; Identification (biology); Computational biology; Drug discovery; Drug development; Bioinformatics; Drug; Biology; Pharmacology; Genetics; Gene","score_opus":0.01343581020135833,"score_gpt":0.3226299815010011,"score_spread":0.3091941712996428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551743743","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011356049,0.9691542,0.0007187424,0.000009263112,0.000027551901,0.0016894032,0.00014049036,0.00013725735,0.028009556],"genre_scores_gemma":[0.000024908155,0.9538532,0.026505765,0.000009439529,0.00012756369,0.011814055,0.00023101822,0.00015891223,0.007275146],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99644685,0.000036130437,0.0013407207,0.0012143141,0.0002627093,0.0006993063],"domain_scores_gemma":[0.99776304,0.00009995556,0.0007550798,0.0012486766,0.00003197757,0.00010128461],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002487533,0.0008382919,0.0016500554,0.00009629193,0.00006671046,0.00007147729,0.0010148183,0.0007036938,0.00020585186],"category_scores_gemma":[0.00011018289,0.00083992776,0.0003458726,0.00062143075,0.0001767317,0.0005324756,0.00023426578,0.0019073396,0.000018172364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029794739,0.0005859102,0.00003448328,0.13180742,0.000040500323,0.00013409804,0.000035700497,0.000046865258,0.0055484585,0.0021458725,0.000052965996,0.85953796],"study_design_scores_gemma":[0.00024798876,0.000002581828,1.0974678e-8,0.019215712,0.00002966968,0.00003247946,0.000020396443,0.0000028395407,0.05526381,0.008164037,0.9161629,0.00085755455],"about_ca_topic_score_codex":0.000017228534,"about_ca_topic_score_gemma":0.000018976572,"teacher_disagreement_score":0.91611,"about_ca_system_score_codex":0.0008002124,"about_ca_system_score_gemma":0.000356011,"threshold_uncertainty_score":0.99940515},"labels":[],"label_agreement":null},{"id":"W1554936326","doi":"10.1002/jms.275","title":"Mass spectrometry in coupling with affinity capture–release and isotope‐coded affinity tags for quantitative protein analysis","year":2001,"lang":"en","type":"review","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Canadian Institute for Theoretical Astrophysics; University of Washington","keywords":"Chemistry; Biotinylation; Mass spectrometry; Affinity chromatography; Proteomics; Peptide; Cysteine; Electrospray ionization; Quantitative proteomics; Chromatography; Enzyme; Biochemistry; Combinatorial chemistry","score_opus":0.03300187215046308,"score_gpt":0.33119694168403485,"score_spread":0.2981950695335718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554936326","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00538114,0.7092498,0.2823241,0.00010160154,0.000026684733,0.0014213361,0.00034134046,0.000069013404,0.0010850002],"genre_scores_gemma":[0.0017676934,0.5955388,0.40180683,0.00000972501,0.00018615408,0.0002518688,0.000064229454,0.00010486801,0.00026983366],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961901,0.000067883004,0.0017533232,0.00074870227,0.0005639023,0.0006761192],"domain_scores_gemma":[0.99487466,0.00067544304,0.003135559,0.00067345024,0.00033232782,0.0003085868],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010115886,0.00081606826,0.0034399692,0.0020275563,0.00016770135,0.00015022572,0.000734204,0.00060457026,0.00026125368],"category_scores_gemma":[0.00039917184,0.00065930176,0.0010257476,0.0038146034,0.00014994816,0.00026061156,0.000086644795,0.0023124213,0.0000026989483],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015413771,0.018200334,0.014722314,0.29154342,0.10255158,0.008525488,0.0015223186,0.0075003146,0.2044813,0.12675159,0.0019041827,0.2068834],"study_design_scores_gemma":[0.023949819,0.008860547,0.00029760317,0.08852681,0.08473463,0.003991994,0.0051098214,0.00669926,0.070854686,0.13674434,0.55053985,0.019690655],"about_ca_topic_score_codex":0.000032252094,"about_ca_topic_score_gemma":0.00003990642,"teacher_disagreement_score":0.54863566,"about_ca_system_score_codex":0.0008478646,"about_ca_system_score_gemma":0.00042578802,"threshold_uncertainty_score":0.9999893},"labels":[],"label_agreement":null},{"id":"W1561020948","doi":"10.1002/0471140864.ps2118s49","title":"Proteomic Identification of Cellular Protease Substrates Using Isobaric Tags for Relative and Absolute Quantification (iTRAQ)","year":2007,"lang":"en","type":"article","venue":"Current Protocols in Protein Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Protease; Isobaric labeling; Proteolysis; Proteome; Chemistry; Quantitative proteomics; Biochemistry; Proteomics; Context (archaeology); Biology; Enzyme; Gene","score_opus":0.06464494575142775,"score_gpt":0.3949076498885414,"score_spread":0.3302627041371136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561020948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5186873,0.00005142428,0.41416246,0.0000236744,0.000013504716,0.06692461,0.000028786373,0.000047259895,0.00006098864],"genre_scores_gemma":[0.78922063,0.0000034324498,0.069797575,0.0000016910604,0.000032525644,0.14087807,0.000010845327,0.000020035795,0.000035224704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974985,0.00001768451,0.00096159504,0.0007343841,0.0003551376,0.00043268193],"domain_scores_gemma":[0.99809563,0.00004472628,0.0008292571,0.00055286376,0.0003717738,0.00010576717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023478898,0.00021030287,0.0002254202,0.00024719836,0.0003045801,0.000092832284,0.0005325862,0.00011065652,0.000008628876],"category_scores_gemma":[0.00036091777,0.00021426607,0.000053712243,0.00086015713,0.0007085823,0.0007438588,0.00009936304,0.0002781722,0.0000015599571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075956355,0.00016892383,0.00087836734,0.0006264345,0.000001839531,2.455493e-7,0.00017290356,0.000029420258,0.97705275,0.014932526,6.23701e-7,0.006060032],"study_design_scores_gemma":[0.00041975817,0.00003911928,0.0005958135,0.0005430839,0.000006671734,0.0000019182428,0.00004151165,0.007481956,0.9624802,0.027981523,0.00017689652,0.00023155866],"about_ca_topic_score_codex":0.000015653575,"about_ca_topic_score_gemma":0.0000022368347,"teacher_disagreement_score":0.34436488,"about_ca_system_score_codex":0.0002131775,"about_ca_system_score_gemma":0.00025449952,"threshold_uncertainty_score":0.87375164},"labels":[],"label_agreement":null},{"id":"W1561206670","doi":"10.1007/978-1-4419-9238-3_20","title":"Proteomic analysis of Rac1 transgenic mice displaying dilated cardiomyopathy reveals an increase in creatine kinase M-chain protein abundance","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Genetically modified mouse; Transgene; RAC1; Molecular biology; Creatine kinase; Biology; Proteomics; Two-dimensional gel electrophoresis; Immunoglobulin light chain; Cell biology; Biochemistry; Signal transduction; Antibody; Genetics; Gene","score_opus":0.010106245496093487,"score_gpt":0.2682192590723825,"score_spread":0.25811301357628896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561206670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559456,0.000071026276,0.039418627,0.000033729426,0.0000032679288,0.000975716,0.00011483141,0.00013881773,0.0032983702],"genre_scores_gemma":[0.92989486,0.00002513803,0.06810133,0.000021819831,0.000014845646,0.0011933021,0.0001135315,0.00003825591,0.0005969406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980741,0.000096366166,0.00072683627,0.00057029154,0.00018796544,0.0003444549],"domain_scores_gemma":[0.99864346,0.000045710316,0.00028190264,0.00078635995,0.00009733508,0.00014525387],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048237853,0.00027428256,0.0006133468,0.00026169847,0.000096007694,0.00002138308,0.0002874725,0.0001681718,0.0003487561],"category_scores_gemma":[0.000115751885,0.0002730177,0.00022226697,0.0013716606,0.00007879673,0.0001699076,0.000027571064,0.0002729213,0.0000021226772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000916893,0.0002310273,0.011392544,0.00011059858,0.00012105101,0.0000043015543,0.0001210233,0.0010444431,0.9833742,0.0031183201,0.0000021687006,0.0003886433],"study_design_scores_gemma":[0.0006613144,0.000034710814,0.0012503434,0.0001064701,0.00027223458,0.0000032340624,0.000091643196,0.0034140118,0.9917967,0.0019038209,0.00009111563,0.00037444348],"about_ca_topic_score_codex":0.0008668113,"about_ca_topic_score_gemma":0.00013184223,"teacher_disagreement_score":0.028682701,"about_ca_system_score_codex":0.000118332515,"about_ca_system_score_gemma":0.00006152977,"threshold_uncertainty_score":0.9999722},"labels":[],"label_agreement":null},{"id":"W1561803476","doi":"10.1007/11415770_26","title":"A Hidden Markov Model Based Scoring Function for Mass Spectrometry Database Search","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Hidden Markov model; Computer science; Tandem mass spectrometry; Database search engine; Mascot; Function (biology); Markov chain; Identification (biology); Pattern recognition (psychology); Mass spectrometry; Artificial intelligence; Search engine; Machine learning; Chemistry; Information retrieval; Chromatography","score_opus":0.025235097463041357,"score_gpt":0.2860759256920249,"score_spread":0.2608408282289835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561803476","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000731168,0.00015323331,0.9954793,0.00033436768,0.00007624669,0.00043252832,0.00012586638,0.0001658935,0.0031594485],"genre_scores_gemma":[0.017846046,0.00004465586,0.97995573,0.00041449166,0.00068482093,0.000101294274,0.00009516745,0.000058315356,0.0007994686],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977242,0.000003199969,0.0003079489,0.0010502294,0.0004421837,0.00047223826],"domain_scores_gemma":[0.9984196,0.00021119874,0.00014343004,0.0009739686,0.00014038572,0.00011145629],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003428413,0.0003408186,0.00028152773,0.000352922,0.00022497957,0.00012012153,0.00088268716,0.00025589418,0.00011328592],"category_scores_gemma":[0.00002991049,0.00035248272,0.0001109375,0.0002119012,0.00024041158,0.00018819823,0.0002681338,0.00073048123,0.0000061777628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087873545,0.00004782556,0.000019422385,0.00026411063,0.000014376543,0.0000067069395,0.00003557545,0.09623725,0.18499337,0.0076323133,0.000042930016,0.71061826],"study_design_scores_gemma":[0.00021229974,0.00003196218,7.541372e-7,0.00025970186,0.000010840686,0.0000042696342,8.6821856e-8,0.82361776,0.10676342,0.06812555,0.0005960848,0.00037728282],"about_ca_topic_score_codex":0.0000060861644,"about_ca_topic_score_gemma":0.000009130381,"teacher_disagreement_score":0.7273805,"about_ca_system_score_codex":0.0004537635,"about_ca_system_score_gemma":0.00032306297,"threshold_uncertainty_score":0.9998927},"labels":[],"label_agreement":null},{"id":"W1565956825","doi":"10.1111/j.1742-4658.2011.08292.x","title":"Proteomic reactors and their applications in biology","year":2011,"lang":"en","type":"review","venue":"FEBS Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Proteomics; Microfluidics; Proteome; Quantitative proteomics; Chromatography; Posttranslational modification; Chemistry; Nanotechnology; Computational biology; Biology; Materials science; Biochemistry; Enzyme","score_opus":0.04432553480004236,"score_gpt":0.35117343297954623,"score_spread":0.30684789817950386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565956825","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006343573,0.98841554,0.007852056,0.0000098294,0.000013494624,0.0005633589,0.00008392272,0.00005201378,0.0029463365],"genre_scores_gemma":[0.00003814014,0.99124986,0.0071270987,0.000005135753,0.00021335647,0.0010726762,0.00006915549,0.00004747081,0.00017712424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998902,0.000027037797,0.0005280959,0.00028464172,0.000027241704,0.00023098476],"domain_scores_gemma":[0.9989571,0.000052285734,0.0005173253,0.0003421457,0.000029841958,0.00010132439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001411941,0.00028929499,0.0006990441,0.00014072213,0.00011870274,0.000030976225,0.00037294583,0.00038145803,0.00015648303],"category_scores_gemma":[0.000016296537,0.00020241807,0.00017345468,0.00013375629,0.000079056575,0.000050561786,0.00009668697,0.001111591,0.000011222392],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001582996,0.00004262281,0.000043214095,0.0011245838,0.000032368866,9.954739e-7,0.0000395829,2.1120682e-8,0.0002464074,0.0042158654,0.000048367325,0.9942044],"study_design_scores_gemma":[0.000058477777,0.000007693422,0.0000012704677,0.0013603651,0.000039451625,0.00025074222,0.000009739092,5.078499e-7,0.00018588878,0.023087934,0.97479004,0.00020787006],"about_ca_topic_score_codex":0.000008698609,"about_ca_topic_score_gemma":0.0000016765921,"teacher_disagreement_score":0.9939965,"about_ca_system_score_codex":0.00012999635,"about_ca_system_score_gemma":0.0001237416,"threshold_uncertainty_score":0.8254369},"labels":[],"label_agreement":null},{"id":"W1581865243","doi":"10.1002/pmic.201270126","title":"Ten Years of Standardizing Proteomic Data: A Report on the HUPO‐PSI Spring Workshop","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"National Institute of General Medical Sciences","keywords":"Human proteome project; Proteome; Data science; Proteomics; Computer science; Library science; Bioinformatics; Chemistry; Biology","score_opus":0.04666932462751736,"score_gpt":0.32017515002709446,"score_spread":0.2735058253995771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581865243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9266501,0.0001205055,0.06665471,0.00053656084,0.000053084943,0.0012382364,0.0001342977,0.00019475877,0.0044177105],"genre_scores_gemma":[0.79173476,0.00006913127,0.20677666,0.000056032513,0.000315751,0.00062655547,0.00004118819,0.000060634105,0.0003193135],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853724,0.000016993083,0.00044240474,0.00035926662,0.00026193712,0.00038216438],"domain_scores_gemma":[0.9974555,0.0001090211,0.0004043537,0.0018847266,0.00006160564,0.00008480639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079041754,0.00017720196,0.00022925284,0.00003806914,0.00014059794,0.000035136905,0.00075094326,0.00013120145,0.000064090375],"category_scores_gemma":[0.00039993707,0.00014956444,0.00007424359,0.00015592335,0.00010451155,0.00022146583,0.00047198957,0.00046937962,0.000013812075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016698512,0.00031176463,0.016573,0.00019965708,0.00012728083,0.000014943316,0.00044416677,0.00013628736,0.94583035,0.021934463,0.0008446069,0.013416493],"study_design_scores_gemma":[0.00023238518,0.000013041132,0.00046160293,0.00020333925,0.00003336158,0.000042696247,0.00012999972,0.00031298262,0.9706191,0.0026557094,0.024977664,0.00031812792],"about_ca_topic_score_codex":0.000033945602,"about_ca_topic_score_gemma":0.000002229271,"teacher_disagreement_score":0.14012195,"about_ca_system_score_codex":0.0001082733,"about_ca_system_score_gemma":0.000070337774,"threshold_uncertainty_score":0.6099061},"labels":[],"label_agreement":null},{"id":"W1583224378","doi":"10.1109/iembs.2001.1019745","title":"High throughput challenges in molecular cell biology: the CELL MAP","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Proteomics; Computational biology; Throughput; Complement (music); Organelle; Genomics; Function (biology); Characterization (materials science); Mass spectrometry; Structural genomics; Functional genomics; Computer science; Biology; Genome; Cell biology; Chemistry; Nanotechnology; Protein structure; Biochemistry; Gene; Materials science; Chromatography","score_opus":0.017420968343659606,"score_gpt":0.26837376799805335,"score_spread":0.25095279965439377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583224378","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19392584,0.0082066115,0.0555601,0.031843804,0.00003139653,0.0005025014,0.000028583068,0.0005361563,0.709365],"genre_scores_gemma":[0.89104635,0.0016448334,0.10464629,0.0003286241,0.000072665985,0.00017750118,0.000010809543,0.00001747787,0.0020554469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999412,0.000007421003,0.00014049315,0.00022488608,0.000040108524,0.00017510496],"domain_scores_gemma":[0.9994579,0.00003180109,0.000045722445,0.000427928,0.000013546463,0.000023098213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055914214,0.00010269361,0.00009049623,0.00001314113,0.0000421945,0.0000072038883,0.00026257074,0.00010641963,0.00037490285],"category_scores_gemma":[0.0000020651821,0.000072966686,0.00003718019,0.0000407456,0.000043153017,0.000029590927,0.00007991318,0.00018279465,0.00007897959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004854607,0.00017107218,0.0000552175,0.000044238022,0.000004227788,0.0000018395646,0.00013078476,0.00033147074,0.85832673,0.1226556,0.0006246273,0.017649312],"study_design_scores_gemma":[0.00012149001,0.0000051080965,0.0000018683761,0.0000034344066,0.000002371871,3.8483324e-7,0.00008308091,0.000119296536,0.8135263,0.019835457,0.1662117,0.00008953408],"about_ca_topic_score_codex":0.000032746193,"about_ca_topic_score_gemma":0.000019968402,"teacher_disagreement_score":0.70730954,"about_ca_system_score_codex":0.000031894855,"about_ca_system_score_gemma":0.000009606971,"threshold_uncertainty_score":0.41049233},"labels":[],"label_agreement":null},{"id":"W1588422177","doi":"10.1002/9781118116555.ch4","title":"Quantitative Proteomics by Mass Spectrometry","year":2011,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics; National Science Foundation","keywords":"Mass spectrometry; Proteomics; Chemistry; Ion-mobility spectrometry–mass spectrometry; Chromatography; Selected reaction monitoring; Tandem mass spectrometry; Biochemistry","score_opus":0.01691626007918467,"score_gpt":0.28182076251373717,"score_spread":0.2649045024345525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588422177","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000036132042,0.00023998691,0.37465844,0.000021727314,0.000010247637,0.00021566493,0.00025357484,0.0005916873,0.6240051],"genre_scores_gemma":[0.000009790706,0.00028685594,0.46720663,0.000024333034,0.000051628846,0.00023844976,0.00010443529,0.00031749049,0.5317604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990957,0.000003854167,0.00017651227,0.0003987683,0.00009943305,0.00022574859],"domain_scores_gemma":[0.9991272,0.000013236909,0.00023278242,0.0005404156,0.000018063916,0.00006831001],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000027997237,0.00027433518,0.0002591518,0.00007803777,0.000031713655,0.000015412932,0.00034098155,0.00040300074,0.045184277],"category_scores_gemma":[0.00000978623,0.00026007096,0.00007974661,0.000097434895,0.000074617645,0.000021147873,0.000052684158,0.00033347594,0.00048853504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064747437,0.000040790837,0.000009370583,0.00007029085,0.000042930158,9.535584e-7,0.0000054738903,1.7406597e-8,0.25114667,0.041925516,0.70662993,0.00012156268],"study_design_scores_gemma":[0.00008481733,0.000017339586,5.780576e-8,0.00005528075,0.000014844186,0.0000013917406,0.000019169187,0.000006853515,0.37106934,0.012577364,0.61582744,0.0003261309],"about_ca_topic_score_codex":0.0001444552,"about_ca_topic_score_gemma":0.000009654327,"teacher_disagreement_score":0.119922645,"about_ca_system_score_codex":0.000054314365,"about_ca_system_score_gemma":0.000024005181,"threshold_uncertainty_score":0.99998516},"labels":[],"label_agreement":null},{"id":"W1588972287","doi":"10.1002/0471250953.bi0815s39","title":"Analyzing Protein‐Protein Interactions from Affinity Purification‐Mass Spectrometry Data with SAINT","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institute for Research in Immunology and Cancer; Université de Montréal; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Center for Research Resources; National Institute of General Medical Sciences; Wellcome Trust","keywords":"Computer science; Interactome; Data mining; Visualization; Mass spectrometry; Proteomics; Software; Chemistry; Chromatography; Operating system","score_opus":0.06460508059387611,"score_gpt":0.3635142895239711,"score_spread":0.298909208930095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588972287","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06442356,0.000111844965,0.8829977,0.00017451949,0.00004152712,0.047292445,0.0007549348,0.00044342116,0.0037600407],"genre_scores_gemma":[0.11733398,0.000013296095,0.7518331,0.000011529646,0.00026271286,0.12940156,0.0010244766,0.000043262164,0.00007610083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980849,0.000022640692,0.0008104193,0.00031328367,0.00027695176,0.00049178855],"domain_scores_gemma":[0.99724466,0.000060341285,0.00058506575,0.001851229,0.00008752333,0.00017115567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035588187,0.0002980464,0.00028944726,0.00015987466,0.0001749618,0.00013155024,0.0009889603,0.00010809523,0.00026651518],"category_scores_gemma":[0.00014072347,0.00026308667,0.000049240705,0.0005206647,0.00009627646,0.0014420425,0.00032834176,0.0008038282,0.00007124973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007082644,0.0066979947,0.111904964,0.0059373076,0.00036100287,0.00000424376,0.0029993698,0.00025376293,0.5304903,0.06739824,0.0014105297,0.27183402],"study_design_scores_gemma":[0.0019427402,0.00008520138,0.0010353602,0.003729138,0.000067307185,0.000011844362,0.0005975962,0.018280512,0.7955647,0.011955952,0.16514353,0.0015860818],"about_ca_topic_score_codex":0.0000329255,"about_ca_topic_score_gemma":0.000011964776,"teacher_disagreement_score":0.27024794,"about_ca_system_score_codex":0.00037547416,"about_ca_system_score_gemma":0.000094862924,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W1600008037","doi":"10.1002/9780470151808.sc01b01s2","title":"Proteomic Analysis of Pluripotent Stem Cells","year":2007,"lang":"en","type":"article","venue":"Current Protocols in Stem Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Proteomics; Embryonic stem cell; Biology; Peptide mass fingerprinting; Protein mass spectrometry; Mass spectrometry; Tandem mass spectrometry; Induced pluripotent stem cell; Proteome; Electrospray ionization; Bottom-up proteomics; Computational biology; Molecular biology; Chemistry; Chromatography; Biochemistry; Gene","score_opus":0.03479436022688994,"score_gpt":0.34927559360247745,"score_spread":0.31448123337558753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600008037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85781944,0.00020637162,0.083296806,0.000016928276,0.00006602872,0.05330536,0.00018992116,0.00018300021,0.004916133],"genre_scores_gemma":[0.86563814,0.000054638655,0.0067349565,0.000010977657,0.00006581105,0.12709326,0.00006112473,0.000033414683,0.00030764987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980281,0.00003526033,0.00088451034,0.0005183063,0.00010836812,0.00042545446],"domain_scores_gemma":[0.998584,0.00007691639,0.000516932,0.0006543119,0.000083372564,0.0000844867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004614173,0.00023141394,0.00052932143,0.00029771728,0.0000459998,0.000008861238,0.00047454197,0.00023255877,0.000121575824],"category_scores_gemma":[0.0000021251926,0.00021386326,0.00020230848,0.00070601935,0.00012637128,0.00003976134,0.00015625855,0.00034463403,0.000010937282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009057075,0.00036529443,0.016470708,0.00038143626,0.000051691502,0.0000012855808,0.00007736196,0.00018106904,0.9254614,0.0013890074,0.000013266105,0.0555169],"study_design_scores_gemma":[0.0004509833,0.00005352919,0.0001373068,0.00008952794,0.000058227462,4.0603638e-7,0.000038812756,0.0004006745,0.9786301,0.00045779278,0.019460045,0.00022255843],"about_ca_topic_score_codex":0.000011337363,"about_ca_topic_score_gemma":0.000006770848,"teacher_disagreement_score":0.076561846,"about_ca_system_score_codex":0.00014607064,"about_ca_system_score_gemma":0.000047503556,"threshold_uncertainty_score":0.87210906},"labels":[],"label_agreement":null},{"id":"W1607625373","doi":"10.1002/0471250953.bi0818s48","title":"DXMSMS Match Program for Automated Analysis of LC‐MS/MS Data Obtained Using Isotopically Coded CID‐Cleavable Cross‐Linking Reagents","year":2014,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Chemistry; Mass spectrometry; Reagent; Cross-platform; Cleavage (geology); Mass spectrum; Fragmentation (computing); Linker; Cross-validation; Coding (social sciences); Tandem mass spectrometry; Chromatography; Combinatorial chemistry; Computer science; Organic chemistry; Artificial intelligence; Materials science; Mathematics; Programming language","score_opus":0.08753147938312769,"score_gpt":0.4417234568363741,"score_spread":0.3541919774532464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607625373","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044416446,0.000015213473,0.8713651,0.00002843587,0.000052134208,0.07984684,0.0009371592,0.001239236,0.0020994807],"genre_scores_gemma":[0.01715341,0.000012540498,0.898571,0.000024979598,0.000066579276,0.081709385,0.002379724,0.00004679753,0.000035576006],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997291,0.000019450981,0.0015079022,0.00036938733,0.00032987172,0.00048234806],"domain_scores_gemma":[0.99700326,0.00010990876,0.00095679803,0.0015757482,0.0002530368,0.00010123114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006847786,0.00028727352,0.00060356763,0.00022085829,0.00016960903,0.00017523822,0.0012529019,0.00022215473,0.000039310526],"category_scores_gemma":[0.0002208124,0.0002767868,0.0001552778,0.0008754901,0.00012911673,0.00045186115,0.0006437012,0.00028054108,0.0000027235515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089599605,0.005826503,0.09854342,0.03494682,0.0016472817,0.0000016931107,0.0020552063,0.04048461,0.04848198,0.014840267,0.0016012941,0.7506749],"study_design_scores_gemma":[0.0010453562,0.000055588887,0.00019015878,0.0006432903,0.00015490456,9.679923e-7,0.000023999746,0.95827955,0.022266911,0.00139155,0.015635928,0.00031181125],"about_ca_topic_score_codex":0.00001670009,"about_ca_topic_score_gemma":0.0000109922985,"teacher_disagreement_score":0.91779494,"about_ca_system_score_codex":0.00015246474,"about_ca_system_score_gemma":0.00010692635,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W1631901224","doi":"10.1158/1538-7445.am2015-538","title":"Abstract 538: Identification and validation of novel prostate cancer biomarkers using the Berg Interrogative Biology™ platform","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Prostate cancer; FLNA; DU145; Filamin; LNCaP; Cancer; Prostate; Cancer research; PCA3; Prostatectomy; Medicine; Biology; Oncology; Pathology; Internal medicine; Cell; Genetics","score_opus":0.2082572915303301,"score_gpt":0.4786776471918304,"score_spread":0.27042035566150036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1631901224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948228,0.0005005544,0.003166865,0.00049435045,0.000024411771,0.00034867434,0.00019604582,0.000022671074,0.00042361152],"genre_scores_gemma":[0.99721676,0.00039416063,0.0015973176,0.000006347046,0.00005174189,0.00053477567,0.0000331715,0.000014443822,0.0001512891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918354,0.000012359801,0.00021056285,0.00021915502,0.00017210015,0.000202266],"domain_scores_gemma":[0.9990626,0.00007367393,0.00015017042,0.00024180599,0.00041362434,0.000058121397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006228894,0.0000755227,0.00008887438,0.00006111072,0.0001520225,0.000031912154,0.00019564663,0.00007059217,0.00004877727],"category_scores_gemma":[0.0000706219,0.000057798734,0.00001993411,0.00022789,0.00036249444,0.000139675,0.00012198888,0.00022599028,8.670069e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000630002,0.000024990117,0.0015672552,0.00005194951,0.000029327612,8.902466e-8,0.00084008434,0.00012480949,0.99058896,0.0007022849,0.000096534,0.0059107076],"study_design_scores_gemma":[0.0002674061,0.000009699807,0.0001685416,0.00009004754,0.000007758561,9.582315e-7,0.0012887893,0.0009506151,0.9919566,0.004074325,0.0011139307,0.00007132661],"about_ca_topic_score_codex":0.0016459324,"about_ca_topic_score_gemma":0.00008075651,"teacher_disagreement_score":0.005839381,"about_ca_system_score_codex":0.00025911556,"about_ca_system_score_gemma":0.0001814564,"threshold_uncertainty_score":0.24881686},"labels":[],"label_agreement":null},{"id":"W1688016776","doi":"10.1111/j.1423-0410.2010.01433.x","title":"Proteomic applications in blood transfusion: working the jigsaw puzzle","year":2010,"lang":"en","type":"review","venue":"Vox Sanguinis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Blood Services; University of British Columbia","funders":"","keywords":"Transfusion medicine; Jigsaw; Blood product; Proteomics; Medicine; Blood transfusion; Intensive care medicine; Product (mathematics); Data science; Computer science; Immunology; Pathology; Biology; Psychology","score_opus":0.02950913366864166,"score_gpt":0.32038231546853474,"score_spread":0.2908731817998931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1688016776","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006060314,0.97446835,0.0016595358,0.00012595998,0.00004006114,0.0030865695,0.00016057017,0.00030869618,0.02008964],"genre_scores_gemma":[0.00004399089,0.9718242,0.00982701,0.000022260516,0.00049917964,0.016373822,0.0002576898,0.000121844125,0.0010299636],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801564,0.000030635754,0.000730656,0.00065544184,0.0001811016,0.00038655038],"domain_scores_gemma":[0.99784255,0.00017464759,0.00038277791,0.0014835896,0.00003292176,0.00008350292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019809717,0.00047473115,0.0008343192,0.00010689347,0.00035150838,0.000071097835,0.0011480598,0.00069916423,0.00041494958],"category_scores_gemma":[0.000028895154,0.00033840188,0.00043645359,0.00059062755,0.00013374478,0.00003647867,0.00013400122,0.001784653,0.0000561841],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013792942,0.00012891371,0.000020410449,0.002104931,0.00003126244,0.0000032263445,0.000075009535,3.7634305e-7,0.000450806,0.0032990545,0.00007743535,0.9938072],"study_design_scores_gemma":[0.00010657375,0.000004268232,6.589994e-7,0.0022404005,0.00025418904,0.000031482512,0.000020179594,0.0000016982636,0.0013490794,0.0012712139,0.99434394,0.00037631678],"about_ca_topic_score_codex":0.000051769894,"about_ca_topic_score_gemma":0.000055966106,"teacher_disagreement_score":0.9942665,"about_ca_system_score_codex":0.00007094987,"about_ca_system_score_gemma":0.00014379372,"threshold_uncertainty_score":0.9999068},"labels":[],"label_agreement":null},{"id":"W172564986","doi":"","title":"P105-T Peptide Sequence Validation using Retention Time Information","year":2007,"lang":"en","type":"article","venue":"PubMed Central","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peptide; Mascot; Chromatography; Mass spectrometry; Retention time; Trypsin; Proteome; Chemistry; Sequence (biology); Analytical Chemistry (journal); Computer science; Biochemistry","score_opus":0.02556603217334853,"score_gpt":0.2640394320041556,"score_spread":0.23847339983080706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W172564986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7370794,0.0000070227693,0.25280556,0.00008745738,0.00005006052,0.00025062333,0.000029569714,0.00024037098,0.009449986],"genre_scores_gemma":[0.95746166,0.000014978111,0.041294653,0.00008258923,0.00022526544,0.000083715815,0.00038188478,0.000014083797,0.00044119844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988412,0.000004385641,0.00027311596,0.00012516086,0.00015328368,0.0006028491],"domain_scores_gemma":[0.9994363,0.000014978457,0.00016367967,0.00019011501,0.00004945038,0.00014545338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003012601,0.00009473056,0.00007272237,0.0000435832,0.000108852364,0.00004920586,0.00011459639,0.00009015509,0.00012769345],"category_scores_gemma":[0.00005417932,0.00010491338,0.000046482848,0.0001248415,0.000030785286,0.0006511923,0.000028085165,0.00012686898,0.000030457493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009021887,0.00008162118,0.012722814,0.00012564559,0.000030474597,0.000003892962,0.00038446125,0.0015607133,0.86693805,0.008923882,0.00067193084,0.10846626],"study_design_scores_gemma":[0.00027112314,0.0000044138856,0.0049239215,0.000026934114,0.000024269237,0.000024074925,0.00005182902,0.0058221663,0.96515316,0.0034172859,0.020013351,0.00026745565],"about_ca_topic_score_codex":0.000024299301,"about_ca_topic_score_gemma":0.0000013182421,"teacher_disagreement_score":0.22038227,"about_ca_system_score_codex":0.0004171907,"about_ca_system_score_gemma":0.000031157164,"threshold_uncertainty_score":0.42782432},"labels":[],"label_agreement":null},{"id":"W1742175820","doi":"10.1016/j.jprot.2015.09.013","title":"mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry","year":2015,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of General Medical Sciences; Canadian Cancer Society Research Institute; Genome Canada; Canadian Institutes of Health Research; National Institutes of Health; Government of Canada; Ministry of Education - Singapore","keywords":"Normalization (sociology); Computer science; Label-free quantification; Preprocessor; Data mining; Proteomics; Quantitative proteomics; Computational biology; Artificial intelligence; Chemistry; Biology","score_opus":0.09385170368468167,"score_gpt":0.37651695262024265,"score_spread":0.282665248935561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1742175820","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34063828,0.0002583785,0.65607995,0.000120090706,0.000017136212,0.00017977695,0.0025972421,0.000013906889,0.000095222415],"genre_scores_gemma":[0.29127473,0.00012608382,0.70769936,0.000015732548,0.00009146547,0.0000091378715,0.0007531677,0.000019978528,0.000010372557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978999,0.000044830565,0.00091756065,0.00047670954,0.00046836925,0.00019264084],"domain_scores_gemma":[0.9965347,0.0001772772,0.00141052,0.0012977495,0.00038676438,0.00019301134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010057656,0.00018846078,0.0005906791,0.00024162176,0.000063008876,0.00008835288,0.0011633885,0.00016253891,0.00007430798],"category_scores_gemma":[0.00057666056,0.00017566391,0.000053493222,0.0004257786,0.00014443042,0.00073824165,0.0006641227,0.00050001655,0.0000014812598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008803825,0.00035143225,0.015783427,0.00016341692,0.0016419176,0.000033593078,0.0003937896,0.00086413877,0.9763355,0.0023294429,0.00043516324,0.00078775414],"study_design_scores_gemma":[0.0033294556,0.00047707342,0.0048230956,0.00043353593,0.0051173377,0.00011269392,0.0028370647,0.19532986,0.6339887,0.15221931,0.00034175726,0.0009901082],"about_ca_topic_score_codex":0.000059301034,"about_ca_topic_score_gemma":0.000013892686,"teacher_disagreement_score":0.34234685,"about_ca_system_score_codex":0.00013958321,"about_ca_system_score_gemma":0.00027613537,"threshold_uncertainty_score":0.71633667},"labels":[],"label_agreement":null},{"id":"W1749681015","doi":"10.1137/1.9781611972764.68","title":"Towards the Prediction of Protein Abundance from Tandem Mass Spectrometry Data","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tandem mass spectrometry; Proteomics; Mass spectrometry; Data mining; Quantitative proteomics; Computational biology; Information retrieval; Chemistry; Biology; Chromatography","score_opus":0.023333734722145113,"score_gpt":0.2651033939036785,"score_spread":0.24176965918153337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1749681015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11358124,0.00019510233,0.8088218,0.00064201216,0.000012401485,0.00030297253,0.0011446341,0.00025262227,0.07504724],"genre_scores_gemma":[0.74289167,0.000027374143,0.254552,0.000015390086,0.00019188543,0.000091791735,0.0003707984,0.0000129261625,0.0018461791],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993093,0.0000044615963,0.0002079995,0.00023466528,0.00013731509,0.000106250525],"domain_scores_gemma":[0.9988501,0.00002026795,0.00011213058,0.0009724954,0.000029369286,0.000015629865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006528756,0.000080564205,0.00009240182,0.000011852908,0.000064907756,0.000015580514,0.0005264253,0.00006425023,0.0005416864],"category_scores_gemma":[0.000013681504,0.000057979418,0.000025780795,0.00011704626,0.000060936054,0.00008944967,0.00011423998,0.00013327185,0.000004691031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004977813,0.000039048395,0.0010321994,0.000009668696,0.000009422843,2.3463443e-7,0.0000039991155,0.000008232662,0.98322976,0.013361368,0.0009524907,0.001348611],"study_design_scores_gemma":[0.000103039885,0.000005758991,0.00053936953,0.00001707357,0.000009678393,6.990009e-7,0.000023285898,0.0012666099,0.8947347,0.086391576,0.016847199,0.00006103792],"about_ca_topic_score_codex":0.00057493383,"about_ca_topic_score_gemma":0.000025689209,"teacher_disagreement_score":0.6293104,"about_ca_system_score_codex":0.00003281614,"about_ca_system_score_gemma":0.000023426554,"threshold_uncertainty_score":0.5931086},"labels":[],"label_agreement":null},{"id":"W1752144580","doi":"10.1002/jssc.201301041","title":"Peptide prefractionation is essential for proteomic approaches employing multiple‐reaction monitoring of fruit proteomic research","year":2013,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture; Agriculture and Agri-Food Canada","funders":"","keywords":"Proteomics; Proteome; Shotgun proteomics; Chemistry; Quantitative proteomics; Shotgun; Chromatography; Peptide; Computational biology; Biology; Biochemistry","score_opus":0.13910828123108493,"score_gpt":0.42343192545109976,"score_spread":0.2843236442200148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1752144580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8776975,0.000013908809,0.12076075,0.00029141826,0.00005774037,0.00086211937,0.0000048567654,0.000018501914,0.00029316018],"genre_scores_gemma":[0.88065714,0.00002343119,0.11826343,0.000003371848,0.00029051368,0.00051757623,0.0000022179674,0.000012033403,0.00023031006],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814516,0.000019747826,0.0006154415,0.00024686096,0.0007406323,0.00023212963],"domain_scores_gemma":[0.99706084,0.00012873297,0.0008482843,0.00022330976,0.0016554212,0.00008344595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013000043,0.00010096202,0.00016191289,0.00030067508,0.0004308007,0.00013064772,0.00037217475,0.00008454284,0.00003125279],"category_scores_gemma":[0.000412439,0.000092977745,0.000082425264,0.00044074267,0.00022080283,0.0017935724,0.000048554914,0.0003255557,0.0000062295617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004370861,0.00006676325,0.002331769,0.000047156525,0.0000070700444,6.05809e-8,0.0003887243,0.00039056453,0.9940276,0.00018689559,0.00007917334,0.0024304958],"study_design_scores_gemma":[0.00029334004,0.00006268709,0.0028605938,0.000084971485,0.000007966311,0.00001406984,0.00036763356,0.0071431072,0.98435,0.0045122295,0.0002156455,0.00008775077],"about_ca_topic_score_codex":0.000038036458,"about_ca_topic_score_gemma":6.415137e-7,"teacher_disagreement_score":0.009677613,"about_ca_system_score_codex":0.00030292384,"about_ca_system_score_gemma":0.00031013016,"threshold_uncertainty_score":0.37915224},"labels":[],"label_agreement":null},{"id":"W1778746406","doi":"10.1002/mas.21365","title":"A decade of plant proteomics and mass spectrometry: Translation of technical advancements to food security and safety issues","year":2013,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Memorial University of Newfoundland","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Food security; Proteomics; Food processing; Agriculture; Biotechnology; Food safety; Engineering; Business; Risk analysis (engineering); Chemistry; Biology; Food science","score_opus":0.04448496134834621,"score_gpt":0.3419116481999721,"score_spread":0.2974266868516259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1778746406","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000072744246,0.95807743,0.03453215,0.00006851708,0.000015809674,0.0049217446,0.0011345595,0.000075979355,0.0011010866],"genre_scores_gemma":[0.000025003681,0.64430934,0.35429114,0.000006465261,0.000062179395,0.0010394772,0.00016217674,0.00005801186,0.00004619013],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99624354,0.000091766575,0.0020126323,0.0008931401,0.0003211521,0.0004377615],"domain_scores_gemma":[0.99718076,0.00014918674,0.0014221887,0.0009681039,0.00006734255,0.00021243145],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005535244,0.0007183177,0.0033639139,0.00041394477,0.000074312855,0.000033244312,0.0005263296,0.00049891224,0.00021424581],"category_scores_gemma":[0.00013281136,0.000610471,0.00039871444,0.0010229339,0.00013922808,0.00013046093,0.00017444845,0.00073147105,0.0000076136484],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100612175,0.00035415727,0.000072928975,0.13383679,0.00040281666,0.0000031125392,0.0001027234,3.8690627e-7,0.13181686,0.007228926,0.00031010073,0.7257706],"study_design_scores_gemma":[0.0002761519,0.0003256931,0.0000012666219,0.009945771,0.0004795901,0.000040292598,0.000012499451,0.000005623741,0.016390938,0.0061680363,0.9657233,0.0006308865],"about_ca_topic_score_codex":0.000008049995,"about_ca_topic_score_gemma":0.0000040049904,"teacher_disagreement_score":0.96541315,"about_ca_system_score_codex":0.00022818439,"about_ca_system_score_gemma":0.000057771354,"threshold_uncertainty_score":0.9996347},"labels":[],"label_agreement":null},{"id":"W1785221269","doi":"10.1186/1477-5956-5-3","title":"Methods for peptide identification by spectral comparison","year":2007,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"Genome Canada","keywords":"Identification (biology); Computational biology; Computer science; Proteomics; Data science; Biology; Biochemistry","score_opus":0.028705533023027478,"score_gpt":0.42250907887259315,"score_spread":0.3938035458495657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1785221269","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047071815,0.00005986635,0.9475668,0.00019234743,0.000029078505,0.00055407797,0.000015087668,0.00016747328,0.0043434715],"genre_scores_gemma":[0.31589097,0.000003607836,0.6825069,0.000022343715,0.000045348308,0.00037905772,0.000010274462,0.000009995216,0.0011315151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998718,0.0000043639084,0.00031004552,0.00041702113,0.00017433632,0.00037620647],"domain_scores_gemma":[0.9991329,0.000074510164,0.00018017742,0.0003784592,0.00012683723,0.000107118496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016724713,0.00009954747,0.00011081472,0.00006063634,0.00037376137,0.00007933529,0.0005457714,0.000050310195,0.000046023208],"category_scores_gemma":[0.00019401629,0.00009984287,0.000042518506,0.00040552,0.0003082843,0.00022645439,0.000059386257,0.00013139649,0.000011029916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008233447,0.00003236129,0.00016001088,0.000016717513,0.0000010280494,3.49482e-8,0.000048055368,0.0000043040436,0.96871054,0.004862646,0.00017460473,0.025981443],"study_design_scores_gemma":[0.000084215426,0.000012280061,0.00010515827,0.0000071199634,0.0000036684253,0.0000019366998,0.00004833508,0.0020215139,0.95551884,0.019377109,0.022690965,0.00012888639],"about_ca_topic_score_codex":0.0000090754875,"about_ca_topic_score_gemma":0.0000013714856,"teacher_disagreement_score":0.26881915,"about_ca_system_score_codex":0.00013389156,"about_ca_system_score_gemma":0.000044848704,"threshold_uncertainty_score":0.40714744},"labels":[],"label_agreement":null},{"id":"W1826190795","doi":"10.4137/cin.s24388","title":"A Hypothesis-Directed Approach to the Targeted Development of a Multiplexed Proteomic Biomarker Assay for Cancer","year":2015,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Bible College; University of Calgary","funders":"Alberta Innovates","keywords":"Biomarker discovery; Biomarker; Proteomics; Ranking (information retrieval); Computational biology; Medicine; Bioinformatics; Candidate gene; Computer science; Biology; Artificial intelligence","score_opus":0.07079623714620345,"score_gpt":0.31105960334932037,"score_spread":0.24026336620311692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1826190795","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2235209,0.00037180496,0.76056004,0.00057022943,0.00011953694,0.005034412,0.00091406854,0.0005604098,0.008348587],"genre_scores_gemma":[0.097172774,0.00002115968,0.88706595,0.00020455984,0.000060899314,0.014891972,0.00006204579,0.00003527818,0.00048534153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988138,0.000008356803,0.0005874477,0.00012771435,0.00019837623,0.00026429864],"domain_scores_gemma":[0.9987673,0.00006450301,0.00033646153,0.00038617456,0.0003232978,0.00012227368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003311789,0.00017824087,0.00022938356,0.00004961937,0.00012202756,0.000023895098,0.00040033297,0.000101403755,0.000023904304],"category_scores_gemma":[0.00017045636,0.0001297432,0.000059424645,0.0002510836,0.000046272773,0.000092356786,0.00008923204,0.00010818122,0.0000047290087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087848445,0.00051859533,0.001147054,0.0028559882,0.00059234677,1.5075756e-7,0.04673922,0.01488849,0.4876394,0.0011219487,0.04544118,0.39817715],"study_design_scores_gemma":[0.00080657285,0.000010402856,0.0000836985,0.000112956666,0.00003690811,0.0000011844613,0.00094295526,0.053134758,0.76894426,0.0003655423,0.17523032,0.00033042012],"about_ca_topic_score_codex":0.00004509486,"about_ca_topic_score_gemma":0.0000245316,"teacher_disagreement_score":0.39784673,"about_ca_system_score_codex":0.0002916454,"about_ca_system_score_gemma":0.00046318938,"threshold_uncertainty_score":0.5290774},"labels":[],"label_agreement":null},{"id":"W1829393566","doi":"10.7554/elife.09103","title":"Using proteomics to probe neurons","year":2015,"lang":"en","type":"letter","venue":"eLife","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Proteomics; Computational biology; Biology; Neuroscience; Computer science; Genetics","score_opus":0.06169144870049424,"score_gpt":0.32630365179478715,"score_spread":0.2646122030942929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1829393566","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039969985,0.00014323455,0.33544767,0.6267384,0.0002460161,0.003079837,0.00091073045,0.001595141,0.027841952],"genre_scores_gemma":[0.00006561039,0.000014668213,0.59158266,0.39274505,0.004922259,0.0010431812,0.00030906155,0.00020231029,0.0091152135],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845916,0.000010137013,0.0002975858,0.00051196286,0.00033338094,0.00038779498],"domain_scores_gemma":[0.9986398,0.000018213483,0.00018228959,0.00086363987,0.0001708026,0.0001252094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000073958654,0.00030802653,0.0002895117,0.000062601,0.00009913453,0.000054937373,0.0005015855,0.00061153504,0.00011460522],"category_scores_gemma":[0.00006644394,0.00032535594,0.00009058691,0.00012788668,0.00003675225,0.000046210218,0.0002378701,0.0014795791,0.00012774016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004250536,0.000013364064,0.000011724928,0.000093529554,0.0000102866625,0.000024663083,0.000025821766,0.000051682247,0.049912672,0.000060458613,0.9495978,0.00019374571],"study_design_scores_gemma":[0.000067141744,0.000009652684,1.7599743e-7,0.00007369349,0.000020688261,0.00002090205,0.0000030189199,0.00013454302,0.09207153,0.001112344,0.9061408,0.00034551995],"about_ca_topic_score_codex":0.000029702791,"about_ca_topic_score_gemma":0.0000012129223,"teacher_disagreement_score":0.256135,"about_ca_system_score_codex":0.00021935746,"about_ca_system_score_gemma":0.00020476733,"threshold_uncertainty_score":0.99991983},"labels":[],"label_agreement":null},{"id":"W1835693540","doi":"10.1002/bmc.2757","title":"Internal standard strategies for relative and absolute quantitation of peptides in biological matrices by liquid chromatography tandem mass spectrometry","year":2012,"lang":"en","type":"review","venue":"Biomedical Chromatography","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Limiting; Chemistry; Standardization; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Chromatography; Mass spectrometry; Biochemical engineering; Sensitivity (control systems); Reproducibility; Computational biology; Computer science; Data mining; Biology","score_opus":0.03373278006059806,"score_gpt":0.3363830461690297,"score_spread":0.30265026610843165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835693540","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003078858,0.93131137,0.06266762,0.000017066057,0.00004292817,0.00078886456,0.0015332114,0.00015568014,0.00040441286],"genre_scores_gemma":[0.0063871955,0.93051183,0.06145006,0.0000056736267,0.00011590313,0.000728377,0.00073388586,0.00006124664,0.0000058171504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972529,0.000058125806,0.001224753,0.00062871963,0.00033003226,0.0005054763],"domain_scores_gemma":[0.997971,0.0004892562,0.00093916996,0.0003192817,0.00007024717,0.00021106703],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040719556,0.00054660655,0.0015919467,0.0007840898,0.00009237663,0.000055345827,0.00043961153,0.00085895654,0.000082291874],"category_scores_gemma":[0.000043535445,0.00043530835,0.0006507565,0.0011965338,0.00081592385,0.00022984657,0.00010638223,0.0005141666,0.0000015726246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014056392,0.0039993096,0.004691207,0.22130398,0.0066953627,0.000059369475,0.0011327018,3.7779847e-7,0.10359337,0.21038695,0.008715127,0.43801662],"study_design_scores_gemma":[0.00095531106,0.0009468715,0.000030781022,0.010542177,0.0006556523,0.00004979288,0.00037769496,0.000010359605,0.0015569635,0.01889126,0.9648307,0.0011524342],"about_ca_topic_score_codex":0.000026299416,"about_ca_topic_score_gemma":0.0000030221554,"teacher_disagreement_score":0.9561156,"about_ca_system_score_codex":0.00007448561,"about_ca_system_score_gemma":0.00011240626,"threshold_uncertainty_score":0.99980986},"labels":[],"label_agreement":null},{"id":"W187712424","doi":"10.1385/1-59745-214-9:15","title":"Analyzing the Cardiac Muscle Proteome by Liquid Chromatography-Mass Spectrometry-Based Expression Proteomics","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Genomics Institute; Genome Canada","keywords":"Proteomics; Heart failure; Proteome; Cardiomyopathy; Medicine; Cardiac function curve; Categorization; Cardiac muscle; Disease; Internal medicine; Cardiology; Bioinformatics; Biology; Biochemistry; Artificial intelligence; Computer science","score_opus":0.014157353640303799,"score_gpt":0.2502215238332902,"score_spread":0.23606417019298642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W187712424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36691737,0.005103921,0.5166425,0.00021069305,0.000084240244,0.004447833,0.0006506037,0.0020185292,0.10392431],"genre_scores_gemma":[0.8809207,0.00010127184,0.109652646,0.000055304215,0.0005240404,0.005514418,0.00022392458,0.00016416161,0.0028435509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820364,0.000041007464,0.00043934918,0.00055873615,0.00027058038,0.00048669532],"domain_scores_gemma":[0.99839497,0.00005506256,0.00031683795,0.0010762169,0.000072574156,0.00008433112],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018026298,0.00033644022,0.00030107095,0.00007985828,0.0005524939,0.00013510822,0.00062755134,0.00018597921,0.000077132325],"category_scores_gemma":[0.000010161485,0.00027418468,0.00026571727,0.000081897815,0.00019795334,0.0000778774,0.00011602927,0.0004439807,0.0000035584412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031889984,0.000050367067,0.000022035505,0.00008002093,0.000019705516,0.0000014418316,0.00002324302,0.000071404684,0.99461716,0.0026822104,0.002011251,0.00038924624],"study_design_scores_gemma":[0.00025725566,0.000032211014,0.000012828851,0.00007675956,0.000036672376,5.8585806e-7,0.000010547459,0.0002043166,0.93272203,0.0022734753,0.064036444,0.0003368549],"about_ca_topic_score_codex":0.00028977628,"about_ca_topic_score_gemma":0.0000057002744,"teacher_disagreement_score":0.51400334,"about_ca_system_score_codex":0.000080434074,"about_ca_system_score_gemma":0.000031639618,"threshold_uncertainty_score":0.99997103},"labels":[],"label_agreement":null},{"id":"W1881280841","doi":"10.1007/s00216-015-9009-3","title":"Novel “omics” approach for study of low-abundance, low-molecular-weight components of a complex biological tissue: regional differences between chorionic and basal plates of the human placenta","year":2015,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics; Intermountain Research and Medical Foundation","keywords":"Proteomics; Proteome; Placenta; Biology; Tandem mass spectrometry; Computational biology; Chemistry; Mass spectrometry; Biochemistry; Chromatography; Genetics; Fetus; Pregnancy","score_opus":0.08551406356354938,"score_gpt":0.31458288431238857,"score_spread":0.2290688207488392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1881280841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947763,0.000053984764,0.0040709036,0.00014173039,0.000002648746,0.00026365963,0.00021156001,0.000014853853,0.00046432114],"genre_scores_gemma":[0.99662334,0.000013960065,0.0030769478,0.000014515948,0.00004925004,0.00002869091,0.00011072109,0.000011673567,0.0000709087],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984741,0.0000129176515,0.00059891865,0.00042147693,0.0002708976,0.00022165365],"domain_scores_gemma":[0.9989035,0.00017481123,0.00026150703,0.00032651032,0.00014897817,0.00018470007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013621464,0.00022182087,0.0006046658,0.000022145776,0.00007846895,0.000013807992,0.00036411735,0.00019957678,0.000021647407],"category_scores_gemma":[0.000071957846,0.00014860097,0.00011646899,0.00016538378,0.0009724294,0.00002559535,0.00027311067,0.00021172596,7.7697116e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001829676,0.0020427736,0.09936816,0.00065216084,0.0003066648,7.287497e-7,0.0000578685,0.000011179796,0.8941806,0.0029831876,0.000060526156,0.00015315815],"study_design_scores_gemma":[0.0044524623,0.0003834527,0.025498936,0.00021025374,0.0005437774,0.000013812045,0.00075140945,0.01796347,0.9399987,0.009413586,0.00014086576,0.0006292942],"about_ca_topic_score_codex":0.000042065152,"about_ca_topic_score_gemma":0.0000010084351,"teacher_disagreement_score":0.07386922,"about_ca_system_score_codex":0.000025104659,"about_ca_system_score_gemma":0.00003058244,"threshold_uncertainty_score":0.6059772},"labels":[],"label_agreement":null},{"id":"W1918301124","doi":"10.1007/978-3-319-08171-7_12","title":"An Effective Algorithm for Peptide de novo Sequencing from Mixture MS/MS Spectra","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computer science; Mass spectrum; Algorithm; Spectral line; Fragmentation (computing); Identification (biology); Proteomics; Mass spectrometry; Chemistry; Chromatography; Physics; Biology","score_opus":0.009705856015131159,"score_gpt":0.2644436503509369,"score_spread":0.2547377943358058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1918301124","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008050173,0.00010454068,0.9958184,0.00009285203,0.00011674587,0.00060541317,0.00016487144,0.00022041384,0.0020717944],"genre_scores_gemma":[0.022789272,0.000018835994,0.97463375,0.0005052934,0.0015186537,0.00016512381,0.00009328673,0.000071590315,0.00020418267],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99770147,0.000009460871,0.00030384774,0.001191711,0.00028588818,0.0005076022],"domain_scores_gemma":[0.99799514,0.0005093028,0.0002408488,0.00095224415,0.0001471546,0.00015530294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029153583,0.0004482752,0.00042511406,0.0001365251,0.00025018858,0.00015216827,0.0011600148,0.00048506985,0.000059088285],"category_scores_gemma":[0.0000432528,0.0004369727,0.00013575505,0.000113622154,0.00036220253,0.00012272094,0.00017870047,0.00085315434,0.0000054902375],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010711825,0.000019029534,0.000021166996,0.000060781455,0.000018043764,0.00001721213,0.00036842778,0.0064747552,0.10471753,0.0029480513,0.000014864717,0.8853294],"study_design_scores_gemma":[0.0002297994,0.00008979226,0.0000070087226,0.0003594428,0.000021903548,0.0000377214,3.092041e-7,0.25956765,0.3579483,0.37826142,0.0028820245,0.000594637],"about_ca_topic_score_codex":0.00008964836,"about_ca_topic_score_gemma":0.00008348927,"teacher_disagreement_score":0.8847348,"about_ca_system_score_codex":0.0007307321,"about_ca_system_score_gemma":0.00021032563,"threshold_uncertainty_score":0.9998082},"labels":[],"label_agreement":null},{"id":"W1920328788","doi":"10.1002/0471250953.bi1314s31","title":"Predicting Peptide Retention Times for Proteomics","year":2010,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Retention time; Chromatography; Proteomics; Fractionation; Chemistry; Peptide; Mass spectrometry; Computer science; Biochemistry","score_opus":0.03341266430213969,"score_gpt":0.3475060992545571,"score_spread":0.3140934349524174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920328788","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11951217,0.0000180166,0.6255193,0.00022746733,0.00027200766,0.23037168,0.0004549589,0.0011539295,0.022470511],"genre_scores_gemma":[0.0058258125,0.0000077472605,0.6252787,0.000014600292,0.00018338888,0.3683327,0.00014356639,0.000030895248,0.00018256284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987047,0.00000342747,0.00066205754,0.000179473,0.00014447412,0.00030590803],"domain_scores_gemma":[0.9989702,0.00004943724,0.00035787356,0.0004485588,0.00010465546,0.00006923817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002949857,0.00017971644,0.00017594574,0.000070800714,0.00013691196,0.00007606968,0.00033528995,0.00016033593,0.00006647888],"category_scores_gemma":[0.0001916928,0.00017445479,0.00008655463,0.00012651405,0.00006747013,0.00033181655,0.00009539405,0.00055559055,0.0000116086385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042767124,0.0014300043,0.07173062,0.015882174,0.00004929886,9.699841e-7,0.002042577,0.0002844426,0.3938982,0.12864554,0.004586057,0.38102245],"study_design_scores_gemma":[0.002333655,0.00010208624,0.00013817438,0.0012624185,0.000020134932,0.0000139632875,0.00018244596,0.21908334,0.52625155,0.050621662,0.19918732,0.0008032178],"about_ca_topic_score_codex":0.0000014083517,"about_ca_topic_score_gemma":0.0000055668884,"teacher_disagreement_score":0.38021925,"about_ca_system_score_codex":0.000056756842,"about_ca_system_score_gemma":0.0000662638,"threshold_uncertainty_score":0.711406},"labels":[],"label_agreement":null},{"id":"W1942779918","doi":"10.1016/j.dib.2015.10.003","title":"TAILS N-terminomic and proteomic datasets of healthy human dental pulp","year":2015,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Proteomics; Proteome; Pulp (tooth); Mass spectrometry; Tandem mass spectrometry; Metadata; Chromatography; Identifier; Computer science; Chemistry; Computational biology; Bioinformatics; Dentistry; Biology; Biochemistry; Medicine","score_opus":0.05703018991855938,"score_gpt":0.35604540565506165,"score_spread":0.29901521573650225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942779918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99082226,0.00008846346,0.0004800274,0.00007535142,0.0000072648595,0.00026095784,0.007818024,0.00003469635,0.00041297622],"genre_scores_gemma":[0.96988595,0.000039286413,0.01857332,0.00006653672,0.000045380788,0.000093908486,0.011247088,0.00001686312,0.000031652187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919343,0.00000803726,0.0002601044,0.00031243238,0.00008053586,0.00014543088],"domain_scores_gemma":[0.9987407,0.000012414592,0.00012092662,0.0010301591,0.000011531269,0.00008428284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016976018,0.00008939045,0.00014513779,0.000030735395,0.000035423574,0.00001653743,0.0005043645,0.000059693153,0.000030059216],"category_scores_gemma":[0.0000325146,0.000097447904,0.000007966494,0.000051333667,0.00008858488,0.00021306211,0.00051908067,0.00013408436,0.000004339629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024135134,0.0005066298,0.06408928,0.0006259384,0.00002828744,0.00004040855,0.00025159022,0.000008748686,0.8796486,0.0071660434,0.033256613,0.0141364485],"study_design_scores_gemma":[0.005853484,0.00024061164,0.0057485835,0.00036797128,0.000053524436,0.00027907616,0.00043360158,0.002072941,0.7826643,0.019580223,0.1814651,0.0012405545],"about_ca_topic_score_codex":0.00056037906,"about_ca_topic_score_gemma":0.00009217456,"teacher_disagreement_score":0.1482085,"about_ca_system_score_codex":0.000059014015,"about_ca_system_score_gemma":0.00005176404,"threshold_uncertainty_score":0.397381},"labels":[],"label_agreement":null},{"id":"W1950084432","doi":"10.1289/ehp.113-a132a","title":"Biomedical Applications of Proteomics","year":2005,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Proteomics; Compendium; Human immunodeficiency virus (HIV); Data science; Computer science; Engineering ethics; Library science; Neuroscience; Bioinformatics; Medicine; Biology; Immunology; History; Engineering","score_opus":0.00740546963494206,"score_gpt":0.29514371495523933,"score_spread":0.2877382453202973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1950084432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43145254,0.005055715,0.53665704,0.009973539,0.000015612788,0.0022304072,0.0008210997,0.0004403177,0.013353748],"genre_scores_gemma":[0.779946,0.0006913169,0.21819697,0.00006621229,0.00013358667,0.00052603264,0.000040370494,0.000017043545,0.00038245125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991738,0.0000072707207,0.00025612858,0.00024737947,0.00013412785,0.000181248],"domain_scores_gemma":[0.99943966,0.000018281205,0.00014834147,0.0002775429,0.00000433174,0.000111819114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006311884,0.00009838842,0.00013668518,0.00003543133,0.00012693573,0.0000032174908,0.00014989266,0.000060292514,0.00062350166],"category_scores_gemma":[0.0000031904897,0.00010255926,0.000050273073,0.000061656894,0.00025158506,0.00005608885,0.000055599146,0.00015976437,0.000036180678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055482957,0.0042963205,0.0022298791,0.00024727028,0.000049774713,4.904597e-7,0.0064733564,0.000056506564,0.78834856,0.039683342,0.00061855523,0.15794046],"study_design_scores_gemma":[0.0012700758,0.000283969,0.00095962797,0.000085443724,0.000018595121,0.000035132693,0.02204414,0.0007656503,0.57021034,0.009863931,0.39378622,0.0006768531],"about_ca_topic_score_codex":0.000014906101,"about_ca_topic_score_gemma":0.0000015216445,"teacher_disagreement_score":0.39316767,"about_ca_system_score_codex":0.00035760997,"about_ca_system_score_gemma":0.000033756118,"threshold_uncertainty_score":0.68269056},"labels":[],"label_agreement":null},{"id":"W195327869","doi":"10.1007/978-1-61779-148-2_18","title":"Identification of Proteolytic Products and Natural Protein N-Termini by Terminal Amine Isotopic Labeling of Substrates (TAILS)","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Protease; Chemistry; Proteolysis; Biochemistry; Isotopic labeling; Cleavage (geology); Proteome; Peptide; Biology; Enzyme","score_opus":0.019698680488628415,"score_gpt":0.3549587589066954,"score_spread":0.335260078418067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195327869","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7733231,0.00046524414,0.22568195,0.000025132069,0.000008466648,0.00040072695,0.000010723217,0.00001731011,0.0000673387],"genre_scores_gemma":[0.46828604,0.000011160463,0.5314158,0.0000037200316,0.000004287947,0.00020167255,0.00001052071,0.000007756085,0.00005906103],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990068,0.0000875941,0.00043907942,0.00029091976,0.000037303824,0.00013829838],"domain_scores_gemma":[0.99927694,0.000028052476,0.0002934285,0.00030663947,0.000076619785,0.000018347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658629,0.000112538815,0.0002192259,0.00005878806,0.000017760809,0.000002770094,0.00017583802,0.00012378431,0.0000104723895],"category_scores_gemma":[0.00020705652,0.00010699271,0.000025330435,0.00013056326,0.0001977376,0.000028157378,0.000062574894,0.00015628764,1.846922e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017236334,0.00005767662,0.001033502,0.00019425676,0.00000815064,0.0000014412823,0.0000743577,1.7214097e-7,0.9893764,0.0020749741,3.1261047e-7,0.0071615116],"study_design_scores_gemma":[0.00014686938,0.000041853054,0.00009644104,0.00004039496,0.000009796137,0.000008784928,0.000022139915,0.00011353447,0.9797417,0.019654986,0.000026557642,0.000096951546],"about_ca_topic_score_codex":0.000027100872,"about_ca_topic_score_gemma":9.097929e-7,"teacher_disagreement_score":0.30573386,"about_ca_system_score_codex":0.000012264317,"about_ca_system_score_gemma":0.000018445178,"threshold_uncertainty_score":0.43630362},"labels":[],"label_agreement":null},{"id":"W1956076416","doi":"10.1002/9780470089941.et1202s02","title":"Mass Spectrometry: An Outsourcing Guide","year":2009,"lang":"en","type":"article","venue":"Current Protocols Essential Laboratory Techniques","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Proteome; Mass spectrometry; Organism; Computational biology; Proteomics; Focus (optics); Computer science; Data science; Chemistry; Chromatography; Biology; Biochemistry; Genetics","score_opus":0.01746793404398287,"score_gpt":0.3635310425135404,"score_spread":0.3460631084695575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956076416","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040474674,0.00021236816,0.9156573,0.00038188693,0.00006801243,0.041703843,0.00029554687,0.008170327,0.029463286],"genre_scores_gemma":[0.08583393,0.00014970421,0.71466976,0.0004133632,0.0018821328,0.19629596,0.00025364224,0.00018828257,0.00031321798],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99770695,0.000043224547,0.00063709426,0.000728953,0.00035998633,0.00052380434],"domain_scores_gemma":[0.9979503,0.000017522982,0.0003588775,0.0011360394,0.0003027473,0.00023450896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031129504,0.00041055126,0.0003704263,0.00016615161,0.00027155882,0.0001970025,0.00077902287,0.00023035349,0.0003671585],"category_scores_gemma":[0.000051593437,0.00042749764,0.000118441254,0.0005428311,0.00010377244,0.00055633555,0.00007823471,0.00060759793,0.000015951571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003324915,0.00034398897,0.0002645015,0.00008212441,0.000006720819,0.0000047277113,0.000022791799,0.000001593798,0.9462483,0.027854782,0.0016456747,0.02349157],"study_design_scores_gemma":[0.00016062477,0.00010571534,0.00001422292,0.00020156294,0.000009945324,0.0000017434594,0.000012682284,0.00004984631,0.77578694,0.029097822,0.19414201,0.00041690262],"about_ca_topic_score_codex":0.0000039860256,"about_ca_topic_score_gemma":0.0000010296362,"teacher_disagreement_score":0.2009875,"about_ca_system_score_codex":0.00019481857,"about_ca_system_score_gemma":0.00014654997,"threshold_uncertainty_score":0.99981767},"labels":[],"label_agreement":null},{"id":"W1959849421","doi":"10.1002/0471250953.bi1310s25","title":"De Novo Interpretation of Tandem Mass Spectra","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Computational biology; Tandem; Computer science; Software; DNA sequencing; Protocol (science); Biology; Genetics; Medicine; Engineering; Programming language; DNA","score_opus":0.0234359719009001,"score_gpt":0.35235308171156565,"score_spread":0.3289171098106656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959849421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062877,0.000026503656,0.94867843,0.00006618672,0.000013541631,0.01768351,0.000025070542,0.00014054593,0.027078489],"genre_scores_gemma":[0.26724154,0.000063377076,0.68646055,0.00007912983,0.00007348395,0.045946755,0.000056837245,0.000019510744,0.000058815505],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990854,0.0000043824703,0.0005270312,0.00008370799,0.00011792311,0.000181534],"domain_scores_gemma":[0.99937373,0.000020213522,0.00025455153,0.00026650165,0.000044016007,0.00004095676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012785783,0.00011111321,0.00015320546,0.00006119882,0.000025794083,0.000024401606,0.00023543386,0.000075312855,0.00005024002],"category_scores_gemma":[0.000040730483,0.00010868857,0.00004848706,0.00015021191,0.000034605004,0.00017671844,0.000021280406,0.00021977321,0.0000049875343],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014281888,0.000718266,0.009110542,0.0020482987,0.000013220226,0.0000016779583,0.0023277588,0.0011714079,0.08491719,0.06466373,0.00030968338,0.8345754],"study_design_scores_gemma":[0.001332392,0.00015662829,0.0003878296,0.0019553183,0.000011690026,0.000012728918,0.00017237301,0.16198452,0.66670895,0.15395662,0.012839521,0.00048144904],"about_ca_topic_score_codex":3.652483e-7,"about_ca_topic_score_gemma":2.9858091e-7,"teacher_disagreement_score":0.834094,"about_ca_system_score_codex":0.00011525582,"about_ca_system_score_gemma":0.000050873085,"threshold_uncertainty_score":0.44321913},"labels":[],"label_agreement":null},{"id":"W1963499130","doi":"10.4137/pri.s5882","title":"Article Commentary: How Many Proteins are Missed in Quantitative Proteomics Based on MS/MS Sequencing Methods?","year":2010,"lang":"en","type":"article","venue":"Proteomics Insights","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Wellcome Trust; Canadian Institute for Theoretical Astrophysics","keywords":"Stable isotope labeling by amino acids in cell culture; Fractionation; Proteome; Proteomics; Quantitative proteomics; Computational biology; Chemistry; Chromatography; Biology; Biochemistry; Gene","score_opus":0.04647435884477669,"score_gpt":0.32819659973540644,"score_spread":0.28172224089062975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963499130","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6856908,0.000022106737,0.30151856,0.006678294,0.00007000075,0.0032008057,0.00006438384,0.00035280103,0.0024022094],"genre_scores_gemma":[0.3551841,0.000009659804,0.6403835,0.0010821777,0.00010862144,0.0030180723,0.000039283004,0.00008491463,0.0000896896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99743885,0.00011989191,0.0005896492,0.0009011861,0.0003231082,0.00062732643],"domain_scores_gemma":[0.9976412,0.00021807736,0.00054959796,0.0011858462,0.00017754713,0.00022771275],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005212756,0.000518508,0.00052655826,0.00023117177,0.0003624203,0.0001670678,0.0006671662,0.00041810764,0.00010623184],"category_scores_gemma":[0.00037523225,0.000501871,0.00015558934,0.00045713392,0.00022015086,0.00031768662,0.00014800197,0.0017583065,0.000020476702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015924528,0.00029659725,0.00045509537,0.00012345774,0.000018232922,0.000019402503,0.00042541258,0.00033191376,0.9862134,0.011322305,0.00012347085,0.0005114782],"study_design_scores_gemma":[0.0010849012,0.00009161439,0.000073218864,0.00021185188,0.000015914467,0.0000057756074,0.00021874983,0.06073781,0.9017174,0.031661022,0.0035990924,0.0005826146],"about_ca_topic_score_codex":0.00020028005,"about_ca_topic_score_gemma":0.0002672422,"teacher_disagreement_score":0.3388649,"about_ca_system_score_codex":0.00046661936,"about_ca_system_score_gemma":0.0001565333,"threshold_uncertainty_score":0.9997433},"labels":[],"label_agreement":null},{"id":"W1963577094","doi":"10.1021/pr700677u","title":"Rapid and Effective Focusing in a Carrier Ampholyte Solution Isoelectric Focusing System: A Proteome Prefractionation Tool","year":2008,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Isoelectric focusing; Proteome; Chromatography; Chemistry; Protein precipitation; Mass spectrometry; Biochemistry","score_opus":0.04353274764234446,"score_gpt":0.34309192453483683,"score_spread":0.2995591768924924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963577094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550757,0.0007559678,0.041192614,0.00031509693,0.000021111771,0.0018166692,0.0000074930135,0.00004423903,0.0007711414],"genre_scores_gemma":[0.97359914,0.00038826335,0.024710456,0.000003905478,0.00033771535,0.00077407487,0.000002141327,0.000033826615,0.00015047088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976512,0.00019640221,0.00062542636,0.0002959415,0.00077752204,0.00045349926],"domain_scores_gemma":[0.9982158,0.0002282173,0.0004332066,0.0002290313,0.00077788276,0.00011587916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021140624,0.00016420428,0.00032031347,0.00073294184,0.000495544,0.00006955917,0.00020025288,0.00019931114,0.000023450384],"category_scores_gemma":[0.00051445706,0.00015175961,0.00008579855,0.0008547687,0.00014755546,0.00060334464,0.00009812579,0.0013252563,0.0000032547484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032236433,0.000101349186,0.0006915527,0.0003493943,0.00002653176,0.000055451048,0.0003223884,0.00003362969,0.98061883,0.00017865078,0.00003518828,0.017264642],"study_design_scores_gemma":[0.0018936209,0.00044514722,0.002354136,0.0010515195,0.000019969399,0.0019832943,0.00023351898,0.003303742,0.98324084,0.0033593702,0.0017895509,0.00032530195],"about_ca_topic_score_codex":0.00009052892,"about_ca_topic_score_gemma":0.0000039075294,"teacher_disagreement_score":0.018523477,"about_ca_system_score_codex":0.0013068715,"about_ca_system_score_gemma":0.00033262218,"threshold_uncertainty_score":0.61885774},"labels":[],"label_agreement":null},{"id":"W1963703398","doi":"10.1038/nbt1011","title":"Protein sequencing by mass analysis of polypeptide ladders after controlled protein hydrolysis","year":2004,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Canada","keywords":"Biochemistry; Peptide sequence; Amino acid; Protein sequencing; Hydrolysate; Chemistry; Escherichia coli; Biology; Hydrolysis; Gene","score_opus":0.0038605374227062166,"score_gpt":0.2302112252846995,"score_spread":0.22635068786199328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963703398","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06661581,0.008499707,0.051443603,0.854696,0.00008549647,0.006962144,0.00476791,0.0032295757,0.003699763],"genre_scores_gemma":[0.71642405,0.00028054533,0.1448973,0.103418365,0.0009710489,0.015439874,0.004551322,0.00054227054,0.01347523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965929,0.00003766613,0.0009436024,0.0012295633,0.00047062236,0.0007256566],"domain_scores_gemma":[0.9967264,0.00006135203,0.001134372,0.0018532935,0.00016552958,0.000059041056],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00015345997,0.0007419361,0.0018785492,0.0010612764,0.00009718147,0.00002992463,0.0011047077,0.012176004,0.00050528924],"category_scores_gemma":[0.00016063418,0.0006957764,0.0009151261,0.0015774304,0.00044134218,0.00006282006,0.00017483483,0.007979226,0.000010026513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001440956,0.000037220532,0.000008081664,0.00024313247,0.0023661703,0.00008998933,0.0000092966275,0.000022478891,0.9854214,0.00071973784,0.010607159,0.000331225],"study_design_scores_gemma":[0.0010244941,0.00004006699,2.486754e-7,0.0002037802,0.0015554557,0.0000057561783,0.000016027781,0.0001428519,0.85153556,0.0051403386,0.13968875,0.00064669165],"about_ca_topic_score_codex":0.00014352023,"about_ca_topic_score_gemma":0.00002481073,"teacher_disagreement_score":0.7512776,"about_ca_system_score_codex":0.0006711876,"about_ca_system_score_gemma":0.0002129698,"threshold_uncertainty_score":0.9995493},"labels":[],"label_agreement":null},{"id":"W1963722572","doi":"10.1111/j.1471-4159.2009.05968.x","title":"Neural cells secrete a unique repertoire of proteins","year":2009,"lang":"en","type":"article","venue":"Journal of Neurochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Center for Research Resources; National Institute on Aging","keywords":"Extracellular; Extracellular matrix; Proteomics; Cell biology; Biology; Secretion; Cell signaling; Secretory protein; Cell; Biochemistry; Population; Chemistry; Signal transduction; Gene","score_opus":0.008447990393359773,"score_gpt":0.250827530650104,"score_spread":0.2423795402567442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963722572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99151635,0.00011810842,0.0034216922,0.00061235554,0.000017899183,0.00007550801,0.000014641812,0.000041189884,0.0041822395],"genre_scores_gemma":[0.9806469,0.0000989543,0.018457053,0.0001350947,0.00016392468,0.000005340128,0.0000025721856,0.000016726408,0.00047342162],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989163,0.000007530844,0.0005592919,0.0001512723,0.00020505235,0.00016053325],"domain_scores_gemma":[0.99855834,0.00003092336,0.00073336903,0.00035413122,0.00020964853,0.00011357737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007180099,0.00014668616,0.0002559875,0.000029761875,0.000044850058,0.00001324039,0.00039150924,0.000121161145,0.00007771228],"category_scores_gemma":[0.000066320026,0.0001353415,0.00018411402,0.00010846438,0.000050964587,0.00008807371,0.00003226128,0.00049343216,5.0750873e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050277944,0.0000764012,0.000026486861,0.00006814821,0.00000732102,0.000036665653,0.000032190237,0.00007836408,0.9978201,0.00003372501,0.00029186398,0.0014785005],"study_design_scores_gemma":[0.0002367682,0.00008476334,0.000050932525,0.000099920726,0.000017277081,0.00032901636,0.000022936392,0.00021860133,0.99518347,0.0015582326,0.0020835428,0.00011454773],"about_ca_topic_score_codex":0.0000011028152,"about_ca_topic_score_gemma":5.8900078e-8,"teacher_disagreement_score":0.015035361,"about_ca_system_score_codex":0.0000349786,"about_ca_system_score_gemma":0.0000707664,"threshold_uncertainty_score":0.5519066},"labels":[],"label_agreement":null},{"id":"W1963857660","doi":"10.1016/j.jprot.2012.10.001","title":"ComplexQuant: High-throughput computational pipeline for the global quantitative analysis of endogenous soluble protein complexes using high resolution protein HPLC and precision label-free LC/MS/MS","year":2012,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Fractionation; Pipeline (software); Shotgun; Chromatography; Elution; Computer science; Chemistry; Proteome; Profiling (computer programming); Computational biology; Biology; Biochemistry","score_opus":0.07485793535212647,"score_gpt":0.3398246825748254,"score_spread":0.2649667472226989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963857660","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43008003,0.0004159721,0.56763184,0.00024108883,0.000025960251,0.0010752629,0.0004892258,0.000018212457,0.000022420005],"genre_scores_gemma":[0.45314828,0.000024197432,0.5464956,0.000014142456,0.0001330272,0.00010413695,0.00004692469,0.000019374349,0.000014281283],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976633,0.000073684474,0.0011506167,0.00025382353,0.00046972386,0.00038884263],"domain_scores_gemma":[0.99651057,0.00029959742,0.0018342565,0.00042214728,0.0008047539,0.00012867076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088491925,0.00026845688,0.0006729966,0.00014357404,0.00041761892,0.00005888672,0.0004986868,0.00016009336,0.00003707876],"category_scores_gemma":[0.00033150695,0.0002109774,0.0002262615,0.000532193,0.00026069095,0.00035732932,0.00021460335,0.00031737884,5.1768023e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011832846,0.00061767525,0.00071082317,0.00021774997,0.00080523384,0.0000014653447,0.0003087735,0.03574204,0.8399729,0.11943601,0.00010028266,0.00090372446],"study_design_scores_gemma":[0.003788989,0.00050368434,0.0005870298,0.0004045336,0.0016095114,0.00012488502,0.00038571435,0.414532,0.38857645,0.18826368,0.0006484984,0.0005750243],"about_ca_topic_score_codex":0.00042518738,"about_ca_topic_score_gemma":0.00004264902,"teacher_disagreement_score":0.4513965,"about_ca_system_score_codex":0.00030959223,"about_ca_system_score_gemma":0.0001400227,"threshold_uncertainty_score":0.8603409},"labels":[],"label_agreement":null},{"id":"W1964307492","doi":"10.1021/ac901373q","title":"Method for the Affinity Purification of Covalently Linked Peptides Following Cyanogen Bromide Cleavage of Proteins","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"British Heart Foundation","keywords":"Cyanogen bromide; Chemistry; Covalent bond; Cyanogen; Cleavage (geology); Affinity chromatography; Combinatorial chemistry; Chromatography; Chemical modification; Peptide; Tandem mass spectrometry; Peptide sequence; Mass spectrometry; Biochemistry; Organic chemistry; Enzyme","score_opus":0.025551277271658145,"score_gpt":0.32873082303570134,"score_spread":0.3031795457640432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964307492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43111733,0.00022472943,0.5495434,0.0013304219,0.000007885907,0.0007925109,0.00016341245,0.00015293242,0.01666742],"genre_scores_gemma":[0.844648,0.000027624928,0.15443383,0.000035389177,0.00006420013,0.00011571793,0.000039115468,0.000014288272,0.00062183803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989102,0.000005989091,0.00045851097,0.0002646493,0.00017320168,0.00018743855],"domain_scores_gemma":[0.9986603,0.0003337327,0.00026049916,0.00057515426,0.000109022825,0.00006127818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028117443,0.00014240012,0.00027542372,0.0000121828825,0.00008927497,0.000010685183,0.0003812637,0.00016303534,0.000046511228],"category_scores_gemma":[0.000272339,0.00011771771,0.00030952672,0.000146971,0.00008072794,0.000042006945,0.000036251815,0.00019499671,9.247733e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004494767,0.00012507304,0.00013636716,0.00016456732,0.00005816519,3.3806197e-7,0.00002317695,0.000037610153,0.99413896,0.0023499732,0.00016610924,0.0027547032],"study_design_scores_gemma":[0.0002518492,0.000018310222,0.00009670207,0.00005157895,0.00014092459,0.0000016916354,0.000060488546,0.0034035663,0.9828556,0.012038588,0.0009603538,0.000120308934],"about_ca_topic_score_codex":0.000012585217,"about_ca_topic_score_gemma":4.915392e-7,"teacher_disagreement_score":0.41353068,"about_ca_system_score_codex":0.000039012983,"about_ca_system_score_gemma":0.000049943796,"threshold_uncertainty_score":0.4800389},"labels":[],"label_agreement":null},{"id":"W1964727438","doi":"10.1016/j.jim.2005.09.020","title":"Multiple cellular antigen detection by ICP-MS","year":2005,"lang":"en","type":"article","venue":"Journal of Immunological Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":149,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"National Cancer Institute; Ontario Genomics Institute; Genome Canada","keywords":"Multiplex; Antigen; Flow cytometry; Immunophenotyping; Molecular biology; Mass cytometry; Immunoassay; Antibody; Biology; Chemistry; Cell biology; Immunology; Biochemistry; Bioinformatics","score_opus":0.024845038229574692,"score_gpt":0.3484409744407223,"score_spread":0.32359593621114763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964727438","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29554883,0.00215014,0.70101786,0.00023218467,0.00003375982,0.00004356949,0.0000036181189,0.00004894327,0.0009210863],"genre_scores_gemma":[0.34587172,0.0005739304,0.65318924,0.00004223525,0.00013760524,0.000010289493,0.000001403147,0.000010227918,0.00016333854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990095,0.000081501064,0.0004819327,0.00013377925,0.000111501984,0.000181822],"domain_scores_gemma":[0.99895746,0.00023310327,0.000430709,0.0002094528,0.000108630105,0.000060633003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054825895,0.00012346322,0.00024677644,0.000039000668,0.000105826206,0.000021954118,0.00029797232,0.00020725155,0.00037799045],"category_scores_gemma":[0.00035447732,0.00009341742,0.0001666363,0.00010519148,0.00006966065,0.00012340525,0.000059241363,0.000572689,0.00000813188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034757308,0.000071824,0.00007288712,0.0000025665056,0.000018476901,0.0000013137153,0.000009477538,0.000016095395,0.71019405,0.00004242493,0.000042754862,0.28949335],"study_design_scores_gemma":[0.00024657612,0.000069648486,0.00006433403,0.000010662151,0.000010798904,0.000039349125,0.000027175964,0.00030708348,0.84134334,0.00223685,0.15554678,0.000097368014],"about_ca_topic_score_codex":0.0000037965003,"about_ca_topic_score_gemma":2.3088904e-7,"teacher_disagreement_score":0.289396,"about_ca_system_score_codex":0.0000936908,"about_ca_system_score_gemma":0.000010703819,"threshold_uncertainty_score":0.41387305},"labels":[],"label_agreement":null},{"id":"W1964816922","doi":"10.1016/j.aca.2011.04.039","title":"Comparison of surfactant-assisted shotgun methods using acid-labile surfactants and sodium dodecyl sulfate for membrane proteome analysis","year":2011,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Chromatography; Sodium dodecyl sulfate; Proteome; Pulmonary surfactant; Shotgun; Tandem mass spectrometry; Mass spectrometry; Shotgun proteomics; Sample preparation; Reagent; Gel electrophoresis; Biochemistry; Proteomics; Organic chemistry","score_opus":0.10188772796817036,"score_gpt":0.3968633013704521,"score_spread":0.29497557340228175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964816922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666746,0.00003152194,0.030182632,0.00009616922,0.000014658248,0.00059495226,0.00027427298,0.00014153545,0.0019896114],"genre_scores_gemma":[0.65903145,0.000040010156,0.34064677,0.000011345567,0.000015052226,0.00006888575,0.000060855433,0.000037540052,0.00008811669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977161,0.000052990512,0.0008920289,0.0006648725,0.0002050676,0.00046891344],"domain_scores_gemma":[0.9978211,0.00023758806,0.0006425771,0.00087034993,0.00023361837,0.00019477154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042955708,0.00035908946,0.0010520755,0.00022225882,0.00020700492,0.000039756975,0.00044361904,0.0002531772,0.00038348424],"category_scores_gemma":[0.00013310056,0.00033954845,0.00035038995,0.0007683168,0.00022649122,0.00016970957,0.0001572011,0.0002649049,9.563901e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000168283,0.0002766449,0.0052095824,0.00016868889,0.00074319885,4.822863e-7,0.00023856209,0.000004797661,0.9922614,0.00029031414,0.00001209908,0.0006259111],"study_design_scores_gemma":[0.00042917664,0.000047766993,0.0012107575,0.00003521828,0.0016098199,0.000004219335,0.00013724666,0.046653524,0.9476811,0.0015720729,0.00024145425,0.00037758498],"about_ca_topic_score_codex":0.00007905134,"about_ca_topic_score_gemma":0.000032185355,"teacher_disagreement_score":0.31046414,"about_ca_system_score_codex":0.00007536601,"about_ca_system_score_gemma":0.00006707488,"threshold_uncertainty_score":0.99990565},"labels":[],"label_agreement":null},{"id":"W1965560116","doi":"10.1186/1471-2105-9-515","title":"Improved machine learning method for analysis of gas phase chemistry of peptides","year":2008,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Army Research Office; National Cancer Institute; National Institutes of Health","keywords":"Computer science; Feature selection; Artificial intelligence; Normalization (sociology); Machine learning; Data mining; Mass spectrometry; Fragmentation (computing); Proteomics; Software; Database search engine; Mass spectrum; Chemistry; Search engine; Chromatography; Information retrieval","score_opus":0.02971369162966547,"score_gpt":0.3309501063571692,"score_spread":0.30123641472750373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965560116","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052117873,0.000052458057,0.94570446,0.0000069250505,0.0000022311683,0.00013704396,0.00029771536,0.0000610931,0.0016202019],"genre_scores_gemma":[0.044746242,0.000103945575,0.9542827,0.000007138895,0.000012658613,0.0000717814,0.0003872548,0.000012672122,0.0003755904],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990873,0.0000033797833,0.0005853987,0.00009305912,0.00009445353,0.00013645347],"domain_scores_gemma":[0.99876785,0.00015118805,0.0005837035,0.0003196795,0.00013225286,0.000045311903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014039488,0.00011843905,0.0003436794,0.0000629765,0.000076796954,0.000004049777,0.00017806223,0.00009596591,0.00007410443],"category_scores_gemma":[0.00013340727,0.00011239024,0.000245248,0.00029343864,0.00006611525,0.00006742264,0.000047905596,0.000114761606,3.5888473e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015382099,0.00030329044,0.0017939284,0.002303359,0.00056642876,1.8439327e-7,0.0009228061,0.0079318285,0.96884584,0.00041965002,0.00007140174,0.016687466],"study_design_scores_gemma":[0.0003285585,0.000016218191,0.0000019519011,0.000009073646,0.00016558387,0.0000015450768,0.000102578575,0.5331127,0.46528125,0.000089233996,0.0008230543,0.00006827038],"about_ca_topic_score_codex":0.000021785832,"about_ca_topic_score_gemma":0.0000026102614,"teacher_disagreement_score":0.5251809,"about_ca_system_score_codex":0.0000213035,"about_ca_system_score_gemma":0.00004005715,"threshold_uncertainty_score":0.45831412},"labels":[],"label_agreement":null},{"id":"W1965656579","doi":"10.1042/ba20030091","title":"An improved dual‐expression concept, generating high‐quality antibodies for proteomics research","year":2003,"lang":"en","type":"article","venue":"Biotechnology and Applied Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Vetenskapsrådet; Canadian Institute for Theoretical Astrophysics","keywords":"Polyclonal antibodies; Fusion protein; Complementary DNA; Proteomics; Biology; Molecular biology; Blot; Antibody; cDNA library; Western blot; Immunofluorescence; Recombinant DNA; Expression vector; Biochemistry; Gene; Genetics","score_opus":0.029264091423480017,"score_gpt":0.3491201546604539,"score_spread":0.31985606323697385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965656579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466138,0.00020087589,0.050872937,0.00029572315,0.000014114605,0.0006012157,0.0001552618,0.00043960905,0.0008064438],"genre_scores_gemma":[0.7272518,0.00007477011,0.27145943,0.00003246376,0.000088883404,0.0007878739,0.000121556855,0.000027662467,0.00015550398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982533,0.000017413648,0.00035242777,0.00079002406,0.000111773705,0.00047505603],"domain_scores_gemma":[0.9988023,0.0000845656,0.00017009518,0.0007405476,0.00010338196,0.00009912144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004499499,0.0002458106,0.00026976925,0.00004540727,0.0006688801,0.00004958462,0.00026680648,0.0010116628,0.000029291901],"category_scores_gemma":[0.00015006182,0.00024014636,0.000043029893,0.0001421652,0.00065456633,0.00004279194,0.00012042352,0.00062851753,0.0000011401245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040898976,0.00008564774,0.000027750926,0.000122061516,0.000010206569,3.5817305e-7,0.000020734135,0.0000035349915,0.95965576,0.037260752,0.00008988602,0.002682386],"study_design_scores_gemma":[0.0005173013,0.00003246521,0.000002042416,0.000023754374,0.0000073985602,0.00000920811,0.00037973266,0.00012388977,0.9805113,0.016470885,0.0016189284,0.00030309652],"about_ca_topic_score_codex":0.000006905999,"about_ca_topic_score_gemma":7.4212255e-7,"teacher_disagreement_score":0.2205865,"about_ca_system_score_codex":0.00005467746,"about_ca_system_score_gemma":0.00006681774,"threshold_uncertainty_score":0.9792884},"labels":[],"label_agreement":null},{"id":"W1965871023","doi":"10.1016/s1367-5931(02)00337-x","title":"Proteomics in drug discovery","year":2002,"lang":"en","type":"review","venue":"Current Opinion in Chemical Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Drug discovery; Computational biology; Genomics; Process (computing); Automation; Computer science; Data science; Biology; Bioinformatics; Engineering; Genome; Genetics; Gene","score_opus":0.08930081032653357,"score_gpt":0.4091396168473482,"score_spread":0.3198388065208146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965871023","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004410867,0.99751484,0.000422605,0.000030240159,0.0003605792,0.00068186154,0.00025023255,0.00007925046,0.0006162565],"genre_scores_gemma":[0.000017315273,0.99296004,0.0024801437,0.000003302224,0.00047253477,0.002467007,0.001489322,0.000046080026,0.00006423307],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977526,0.000038237744,0.00094677886,0.0007702174,0.000065863656,0.00042627988],"domain_scores_gemma":[0.9988688,0.00017657714,0.0003454172,0.00052603177,0.00001585708,0.00006730213],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009787801,0.0004355766,0.0011707117,0.00014734248,0.000019940111,0.000018927878,0.0006206863,0.0006246685,0.000108689324],"category_scores_gemma":[0.000077901066,0.0003878426,0.00026664222,0.00031527886,0.00014545361,0.00006064433,0.0003061009,0.0014285097,0.000040109884],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000427671,0.00024703253,0.00004814468,0.012102719,0.000008048559,3.6844574e-7,0.000011439778,2.2229972e-7,0.0003855046,0.00403723,0.00055789493,0.9825971],"study_design_scores_gemma":[0.00017231534,0.0000032135276,5.0054712e-8,0.008782798,0.000010645872,0.0000073996025,0.0000018295873,0.000010222576,0.0008853414,0.0041403994,0.9855783,0.0004074707],"about_ca_topic_score_codex":0.000007786602,"about_ca_topic_score_gemma":6.3606257e-7,"teacher_disagreement_score":0.9850204,"about_ca_system_score_codex":0.00037464223,"about_ca_system_score_gemma":0.00007766069,"threshold_uncertainty_score":0.99985737},"labels":[],"label_agreement":null},{"id":"W1965942536","doi":"10.1038/nature01510","title":"From genomics to proteomics","year":2003,"lang":"en","type":"article","venue":"Nature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1001,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Proteomics; Genomics; Computational biology; Function (biology); Structural genomics; Biology; Bioinformatics; Genome; Protein structure; Gene; Genetics; Biochemistry","score_opus":0.006567340992558319,"score_gpt":0.27076462941916635,"score_spread":0.264197288426608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965942536","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8673494,0.00033552217,0.071038045,0.0013248065,0.000079917554,0.00045465992,0.00024734557,0.00034779962,0.0588225],"genre_scores_gemma":[0.358649,0.00002099753,0.63825613,0.0010969177,0.00019064134,0.00018646076,0.000042592743,0.000030682277,0.0015265798],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994658,0.0000029998926,0.00009795887,0.00022538508,0.00006905155,0.00013876252],"domain_scores_gemma":[0.9994715,0.000016012958,0.000036559475,0.00036651918,0.00003518101,0.00007423994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030447261,0.00009494728,0.00008391524,0.000014900413,0.000059123526,0.00001894965,0.00018180095,0.00070414715,0.00037053315],"category_scores_gemma":[0.000054883338,0.00009578251,0.000035720597,0.000081460734,0.000010270784,0.000027746586,0.000030859497,0.0010836155,0.000072050294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009863274,0.00002786722,0.0001558177,0.0000065672525,0.000008376195,0.0000017422019,0.000081295875,0.000034503675,0.9717954,0.022303162,0.004317541,0.0012578903],"study_design_scores_gemma":[0.000060505103,0.0000022211782,0.0000057351094,0.0000053089425,0.0000028834568,0.0000015998354,0.000019123076,0.000011551761,0.6114708,0.028652038,0.35967886,0.00008933499],"about_ca_topic_score_codex":0.0000062051163,"about_ca_topic_score_gemma":0.000002404335,"teacher_disagreement_score":0.56721807,"about_ca_system_score_codex":0.00007502424,"about_ca_system_score_gemma":0.000029133993,"threshold_uncertainty_score":0.54310274},"labels":[],"label_agreement":null},{"id":"W1966486883","doi":"10.1016/j.bbcan.2006.06.002","title":"Emerging applications for phospho-proteomics in cancer molecular therapeutics","year":2006,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Reviews on Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MaRS; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Proteomics; Computational biology; Phosphorylation; Drug development; Mechanism (biology); Drug discovery; Kinase; Cancer; Protein kinase A; Drug; Cancer drugs; Biology; Identification (biology); Protein phosphorylation; Cancer research; Bioinformatics; Pharmacology; Cell biology; Biochemistry; Gene; Genetics","score_opus":0.06363060853289909,"score_gpt":0.4124084547213114,"score_spread":0.3487778461884123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966486883","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015423866,0.984737,0.0037050787,0.000626607,0.00007854597,0.007416198,0.0024023058,0.00020014164,0.0006799054],"genre_scores_gemma":[0.000026909449,0.9026445,0.011655394,0.00061446615,0.0005044401,0.08278295,0.00096786406,0.00031520188,0.00048827662],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956774,0.0000824164,0.0016940829,0.0015045488,0.0002901569,0.000751391],"domain_scores_gemma":[0.99612725,0.00015455106,0.0017641811,0.0016944158,0.00012326815,0.00013632503],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025453666,0.0012102246,0.0026280496,0.00019521575,0.00020078695,0.00009825494,0.001246566,0.000663029,0.000085869666],"category_scores_gemma":[0.000015258151,0.0010665728,0.0013327855,0.00088406116,0.00014114383,0.000093216215,0.00016815221,0.0010611919,0.000031237996],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025556494,0.00046077374,2.1564992e-7,0.022197908,0.00023514527,0.0000010441998,0.000028987379,0.000016114793,0.05145579,0.0021058926,0.0017625529,0.92171],"study_design_scores_gemma":[0.00024014815,0.000022784054,1.7968763e-7,0.010915142,0.00073228456,0.0000013309431,0.0000025347906,0.000034988952,0.08982501,0.0008132788,0.896379,0.001033332],"about_ca_topic_score_codex":0.00016405704,"about_ca_topic_score_gemma":0.000045536348,"teacher_disagreement_score":0.9206767,"about_ca_system_score_codex":0.0008928446,"about_ca_system_score_gemma":0.0005041198,"threshold_uncertainty_score":0.99917847},"labels":[],"label_agreement":null},{"id":"W1966666048","doi":"10.1002/pmic.201200338","title":"Unifying protein inference and peptide identification with feedback to update consistency between peptides","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Inference; Peptide; Identification (biology); Computer science; Consistency (knowledge bases); Computational biology; Artificial intelligence; Biology; Biochemistry","score_opus":0.02274177817366885,"score_gpt":0.28443799800752007,"score_spread":0.2616962198338512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966666048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81404954,0.00004857139,0.18331522,0.00038148405,0.000005152885,0.0008965547,0.000043150332,0.00017174208,0.001088585],"genre_scores_gemma":[0.6998842,0.000019109371,0.29876742,0.000034016273,0.00008409339,0.0008589627,0.000032482683,0.000029542316,0.00029019074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884695,0.0000123518475,0.00031541372,0.00032572605,0.00014209808,0.0003574786],"domain_scores_gemma":[0.99899375,0.000036459944,0.00019810924,0.00045067942,0.000108120505,0.00021290105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020484434,0.00020390099,0.00019582662,0.000054261895,0.00022475871,0.00008794052,0.00020912,0.00010187126,0.000030470348],"category_scores_gemma":[0.00008000308,0.00019223744,0.000026325479,0.00016827365,0.00010370472,0.00032173892,0.00013698215,0.00024058211,0.00005024395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045663834,0.000062847255,0.093603455,0.00022818516,0.000031788088,5.782526e-7,0.0003361309,0.000016874912,0.87720305,0.021428892,0.000027790024,0.007014726],"study_design_scores_gemma":[0.0002368727,0.00002806563,0.004717556,0.00016748768,0.00003092681,0.000008765218,0.00015121445,0.0000448183,0.98301876,0.008603983,0.00257361,0.00041797274],"about_ca_topic_score_codex":0.000028844303,"about_ca_topic_score_gemma":0.0000064219985,"teacher_disagreement_score":0.1154522,"about_ca_system_score_codex":0.000074057134,"about_ca_system_score_gemma":0.0000422661,"threshold_uncertainty_score":0.7839215},"labels":[],"label_agreement":null},{"id":"W1967187739","doi":"10.1586/14789450.4.2.175","title":"Coupling immunoaffinity techniques with MS for quantitative analysis of low-abundance protein biomarkers","year":2007,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Greenfield Research (Canada)","funders":"University of Pennsylvania; Eli Lilly and Company","keywords":"Quantitative proteomics; Chemistry; Proteomics; Chromatography; Selected reaction monitoring; Peptide; Mass spectrometry; Tandem mass spectrometry; Quantitative analysis (chemistry); Liquid chromatography–mass spectrometry; Analyte; Biochemistry","score_opus":0.04784550010769109,"score_gpt":0.41295225657402806,"score_spread":0.36510675646633695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967187739","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011283342,0.7154151,0.27783805,0.000013096049,0.000007437204,0.0058760718,0.00048360077,0.0001024307,0.00025292457],"genre_scores_gemma":[7.588344e-7,0.5375888,0.45527098,0.000012637639,0.00002782371,0.006598517,0.00039802495,0.00007468515,0.00002778521],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961745,0.00003758128,0.0022557708,0.0007822636,0.00034993936,0.00039993788],"domain_scores_gemma":[0.99374765,0.00033315909,0.0037334901,0.0014264265,0.0006713244,0.000087934444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010843539,0.000741079,0.004249647,0.00039083537,0.00011438952,0.000017731758,0.0009507817,0.00047037145,0.000075518285],"category_scores_gemma":[0.00029976317,0.0005795883,0.0015472199,0.0017224372,0.00034678384,0.00010713363,0.00014707392,0.0004705757,0.0000011302006],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020609815,0.0004334306,0.0000019076742,0.62761366,0.005116307,0.00000238294,0.00006791718,0.0000049023192,0.018623834,0.0041471277,0.000112855254,0.3436696],"study_design_scores_gemma":[0.0001725044,0.00021127432,6.7477316e-8,0.35545018,0.003367339,0.0000055825053,0.000022895876,0.00016572,0.12358555,0.00014293668,0.51590085,0.0009750713],"about_ca_topic_score_codex":0.000060014412,"about_ca_topic_score_gemma":0.000008928949,"teacher_disagreement_score":0.515788,"about_ca_system_score_codex":0.00026879474,"about_ca_system_score_gemma":0.0004116291,"threshold_uncertainty_score":0.99966556},"labels":[],"label_agreement":null},{"id":"W1967297927","doi":"10.1159/000092819","title":"Mass Spectrometric Identification of Proteins in Complex Post-Genomic Projects","year":2006,"lang":"en","type":"article","venue":"Microbial Physiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Computational biology; Identification (biology); Proteomics; Mass spectrometry; Computer science; Bioinformatics; Chemistry; Biology; Biochemistry; Chromatography","score_opus":0.0122067548884329,"score_gpt":0.24909625215358894,"score_spread":0.23688949726515604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967297927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569166,0.000025405188,0.0024363091,0.00008582643,0.000010184438,0.0003753873,0.00010358162,0.000058731886,0.0012129107],"genre_scores_gemma":[0.9868429,0.000008698676,0.012324409,0.000020619862,0.00008524561,0.00012679312,0.000355406,0.000017840068,0.0002181371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990848,0.00001443533,0.0003844956,0.0002768177,0.000038756065,0.00020072918],"domain_scores_gemma":[0.9993853,0.000017760329,0.00022960655,0.0002957592,0.00005829824,0.000013292463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005328649,0.000110467816,0.00020202191,0.00015166661,0.000037701,0.0000062144863,0.00021612216,0.00009889641,0.00013038384],"category_scores_gemma":[0.000012500817,0.000119367425,0.000055100667,0.00031478307,0.000085674525,0.000036641293,0.000047896483,0.0001320039,0.00002009571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030769497,0.00012983047,0.00015503498,0.00005730422,0.0000035998596,3.8878167e-7,0.000015068656,0.00008465999,0.997087,0.0021549915,0.00010731822,0.00017400474],"study_design_scores_gemma":[0.00025739975,0.000022630515,0.010854072,0.000006988507,0.00000401876,0.000002743947,0.000012997388,0.00006379593,0.97590816,0.012205492,0.00054549513,0.00011619911],"about_ca_topic_score_codex":0.0003680877,"about_ca_topic_score_gemma":0.00003478204,"teacher_disagreement_score":0.021178862,"about_ca_system_score_codex":0.00009651861,"about_ca_system_score_gemma":0.000032075433,"threshold_uncertainty_score":0.48676622},"labels":[],"label_agreement":null},{"id":"W1967438882","doi":"10.1002/1615-9861(200108)1:8<987::aid-prot987>3.0.co;2-5","title":"Investigation of the applicability of a sequential digestion protocol using trypsin and leucine aminopeptidase M for protein identification by matrix-assisted laser desorption/ionization - time of flight mass spectrometry","year":2001,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Trypsin; Digestion (alchemy); Chemistry; Chromatography; Bottom-up proteomics; Peptide; Mass spectrometry; Aminopeptidase; Peptide sequence; Leucine; Sample preparation; Amino acid; Sample preparation in mass spectrometry; Matrix-assisted laser desorption/ionization; Peptide mass fingerprinting; Protein mass spectrometry; Biochemistry; Enzyme; Electrospray ionization; Desorption; Proteomics; Organic chemistry","score_opus":0.020160911846700165,"score_gpt":0.2859629364183077,"score_spread":0.26580202457160756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967438882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65887904,0.0000046618984,0.31876892,0.00006216352,0.0000030257465,0.022108303,0.00013159981,0.000029522987,0.000012756484],"genre_scores_gemma":[0.7806351,0.0000028098066,0.19175266,0.0000031068837,0.000030242125,0.027249636,0.00012995156,0.000028388731,0.00016809299],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985942,0.00004206315,0.00073344214,0.00030530273,0.00018961779,0.00013533422],"domain_scores_gemma":[0.99813986,0.000028534181,0.001059002,0.00042821103,0.00030335167,0.000041021733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030847965,0.00015692074,0.00023948548,0.000066867935,0.00011110085,0.000018615163,0.00017488998,0.00016560747,0.000023376724],"category_scores_gemma":[0.00011175835,0.00014079029,0.000075279604,0.0004319771,0.00021217883,0.00016648773,0.00005220006,0.000114101094,3.543073e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018279337,0.00008507749,0.00222793,0.0006224032,0.000012734635,2.50977e-8,0.000038611503,0.00011675636,0.9959467,0.00047139562,0.000006439311,0.00028914498],"study_design_scores_gemma":[0.0006922501,0.000040427884,0.00045157358,0.00014663003,0.0000388311,0.00000386502,0.000015601743,0.009687523,0.98125184,0.0075158547,0.00003203394,0.00012355421],"about_ca_topic_score_codex":0.000030362482,"about_ca_topic_score_gemma":0.0000015651814,"teacher_disagreement_score":0.12701626,"about_ca_system_score_codex":0.0001400812,"about_ca_system_score_gemma":0.00007262365,"threshold_uncertainty_score":0.5741261},"labels":[],"label_agreement":null},{"id":"W1967669569","doi":"10.1021/pr060085o","title":"Effect of 2MEGA Labeling on Membrane Proteome Analysis Using LC-ESI QTOF MS","year":2006,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Proteome; Database search engine; Tandem mass spectrometry; Mass spectrometry; Chromatography; Peptide; Fragmentation (computing); Selected reaction monitoring; Peptide mass fingerprinting; Peptide sequence; Proteomics; Biochemistry; Biology; Search engine","score_opus":0.03901932374394092,"score_gpt":0.40767482435792457,"score_spread":0.36865550061398367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967669569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846704,0.00022408747,0.012014189,0.00018519662,0.000012085031,0.00081688014,0.000023296663,0.000030932493,0.0020229283],"genre_scores_gemma":[0.94843477,0.00007797393,0.05038104,0.0000037361935,0.00037240586,0.00014732662,0.00000698157,0.000047407204,0.0005283843],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966324,0.00023380613,0.0009520351,0.00030749405,0.001346826,0.00052744214],"domain_scores_gemma":[0.99724656,0.00046127284,0.00073612004,0.00056744413,0.0008412075,0.00014741372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038954206,0.00022384773,0.0006941547,0.0009483099,0.00024209936,0.00006797758,0.0006227027,0.00020817772,0.00026204568],"category_scores_gemma":[0.0003910717,0.00017769642,0.0004146034,0.0017764533,0.00017841982,0.00018051836,0.00013028947,0.0013158179,0.0000066652683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004022074,0.00017358328,0.00092904834,0.00044939597,0.00019555436,0.000025597516,0.0000216339,0.004354203,0.9922566,0.00021588606,0.000031004936,0.0009452881],"study_design_scores_gemma":[0.0006742333,0.0005187153,0.00004319232,0.0003249519,0.00015422092,0.000030669915,0.000016160371,0.0023542824,0.99353445,0.0018621224,0.00033023956,0.00015676963],"about_ca_topic_score_codex":0.000185819,"about_ca_topic_score_gemma":0.0000044286085,"teacher_disagreement_score":0.03836685,"about_ca_system_score_codex":0.00032369286,"about_ca_system_score_gemma":0.00016013789,"threshold_uncertainty_score":0.724625},"labels":[],"label_agreement":null},{"id":"W1968063944","doi":"10.1021/pr9006365","title":"Repeatability and Reproducibility in Proteomic Identifications by Liquid Chromatography−Tandem Mass Spectrometry","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":562,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Repeatability; Reproducibility; Chromatography; Proteomics; Biomarker discovery; Tandem mass spectrometry; Peptide; Proteome; Chemistry; Orbitrap; Mass spectrometry; Label-free quantification; Quantitative proteomics; Liquid chromatography–mass spectrometry; Computational biology; Biology; Biochemistry","score_opus":0.038304149906981125,"score_gpt":0.3766268700147317,"score_spread":0.3383227201077506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968063944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896766,0.0007383229,0.0053975536,0.0028536508,0.000013840333,0.000983505,0.00002146,0.00004366748,0.0009803205],"genre_scores_gemma":[0.953152,0.0005354533,0.0456904,0.000010910577,0.000119569566,0.00018084014,0.000005704469,0.000018411194,0.00028671924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968356,0.000166761,0.0009842658,0.0008588205,0.0006832164,0.00047133194],"domain_scores_gemma":[0.9971119,0.00012559509,0.0003869313,0.001652099,0.00051875465,0.00020471358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007882781,0.00016639537,0.00036916256,0.00044496643,0.00021482514,0.00009835963,0.00056628836,0.00017265367,0.00011838421],"category_scores_gemma":[0.0016832696,0.00015335859,0.00011967418,0.0011029239,0.00028281455,0.00034355116,0.00009170522,0.0014961129,0.0000033998756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015902662,0.00032866374,0.009128995,0.00008499926,0.000011871602,0.000008581441,0.000061328385,0.0000014873517,0.9889142,0.00035323945,0.00022821124,0.0007194023],"study_design_scores_gemma":[0.00047624425,0.00033745263,0.011052631,0.00014459311,0.0000072815083,0.0000787439,0.0001105635,0.000031389733,0.9254947,0.061328564,0.00075972406,0.00017812842],"about_ca_topic_score_codex":0.000025455287,"about_ca_topic_score_gemma":0.0000022439167,"teacher_disagreement_score":0.063419506,"about_ca_system_score_codex":0.00034347342,"about_ca_system_score_gemma":0.00017540959,"threshold_uncertainty_score":0.64999497},"labels":[],"label_agreement":null},{"id":"W1968826903","doi":"10.1016/s1044-0305(03)00133-8","title":"Proteomic analysis of <i>Pseudomonas aeruginosa</i> grown under magnesium limitation","year":2003,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; Canadian Institute for Theoretical Astrophysics; Cystic Fibrosis Foundation","keywords":"Chemistry; Pseudomonas aeruginosa; Magnesium; Bacteria; Proteomics; Quantitative analysis (chemistry); Biochemistry; Bacterial cell structure; Chromatography; Quantitative proteomics; Biology; Gene","score_opus":0.012337360089067185,"score_gpt":0.27095858128163497,"score_spread":0.2586212211925678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968826903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7255577,0.000089856,0.27269438,0.0008433638,0.000022676553,0.00017689189,0.00004437943,0.000018993169,0.00055175496],"genre_scores_gemma":[0.68028176,0.00009988456,0.319081,0.00018509827,0.00005589279,0.00002702155,0.0000047406343,0.000020166623,0.0002444216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873865,0.000023287595,0.00053642434,0.00016892527,0.00030325164,0.00022949361],"domain_scores_gemma":[0.9973898,0.00014459607,0.0017809984,0.00039218253,0.0002280537,0.00006436142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003402753,0.00015743729,0.00049749436,0.00011712046,0.00012231442,0.000020209314,0.00041426727,0.000059327085,0.000049290356],"category_scores_gemma":[0.00008288191,0.00012017794,0.0016658764,0.0016951247,0.00023889543,0.00009505858,0.000028571401,0.00030082572,5.8852595e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003353047,0.00009817254,0.0035037838,0.000041252413,0.00082375907,1.7043692e-7,0.000057108824,0.0005862463,0.989899,0.0042320252,0.00060583925,0.00011910792],"study_design_scores_gemma":[0.00058544544,0.00017384804,0.002816726,0.000020837339,0.0021271822,0.000022482567,0.0013539675,0.00039748097,0.9628086,0.028253756,0.001177914,0.00026175586],"about_ca_topic_score_codex":0.0000069292737,"about_ca_topic_score_gemma":5.6583923e-7,"teacher_disagreement_score":0.046386626,"about_ca_system_score_codex":0.00024453533,"about_ca_system_score_gemma":0.000096767166,"threshold_uncertainty_score":0.49007142},"labels":[],"label_agreement":null},{"id":"W1969300311","doi":"10.1021/pr200676v","title":"Integrated SDS Removal and Peptide Separation by Strong-Cation Exchange Liquid Chromatography for SDS-Assisted Shotgun Proteome Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chromatography; Chemistry; Peptide; Sodium dodecyl sulfate; Shotgun proteomics; Shotgun; Mass spectrometry; Tandem mass spectrometry; Proteome; Sample preparation; Gel electrophoresis; Liquid chromatography–mass spectrometry; Proteomics; Biochemistry","score_opus":0.06656605258898009,"score_gpt":0.4074023359544767,"score_spread":0.34083628336549665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969300311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83002955,0.0013503163,0.16508533,0.00074604986,0.000021614786,0.001710953,0.00014050056,0.0000633215,0.0008523575],"genre_scores_gemma":[0.8807078,0.000418036,0.115506664,0.000013238287,0.00040540093,0.0014982241,0.00016302541,0.00005421238,0.0012334036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974901,0.00013988587,0.00074898324,0.00029295636,0.0007143123,0.00061373017],"domain_scores_gemma":[0.9974107,0.00015830676,0.00057610596,0.00039668515,0.001135542,0.00032264492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026249539,0.00022336215,0.0004390387,0.00076570763,0.0003630776,0.00012530126,0.00036517455,0.0002486362,0.00020941385],"category_scores_gemma":[0.0002378809,0.00019350911,0.00026493668,0.0014482355,0.00017133805,0.00059793453,0.000097747354,0.00079659664,0.0000033236147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000543966,0.0003031757,0.0010554781,0.0002816448,0.00036634796,0.000002157526,0.00027008093,0.000007760753,0.99244875,0.00029788128,0.0017999067,0.0026228314],"study_design_scores_gemma":[0.0014576071,0.00092632766,0.0009953957,0.00025993463,0.00038302623,0.0001717819,0.0006984465,0.0022028047,0.9318737,0.0014088239,0.05911228,0.00050987845],"about_ca_topic_score_codex":0.000044633256,"about_ca_topic_score_gemma":0.000010220973,"teacher_disagreement_score":0.060575075,"about_ca_system_score_codex":0.00028843078,"about_ca_system_score_gemma":0.0001354623,"threshold_uncertainty_score":0.78910726},"labels":[],"label_agreement":null},{"id":"W1969653308","doi":"10.1007/s10710-008-9057-y","title":"Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks","year":2008,"lang":"en","type":"article","venue":"Genetic Programming and Evolvable Machines","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences; National Research Council Canada","funders":"University of Waterloo","keywords":"Preprocessor; Computer science; Computation; Evolutionary computation; Evolutionary algorithm; Differential evolution; Genetic algorithm; Perspective (graphical); Algorithm; Artificial intelligence; Mass spectrometry; Series (stratigraphy); Data pre-processing; Machine learning; Chemistry; Biology; Chromatography","score_opus":0.043234629175894046,"score_gpt":0.3023370453336234,"score_spread":0.25910241615772933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969653308","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59758246,0.00073223846,0.40096447,0.000016267282,0.000004081273,0.00015119913,0.0002823041,0.000050747436,0.00021624503],"genre_scores_gemma":[0.4871689,0.00007654436,0.512241,0.0000030653873,0.00001901602,0.00002377998,0.00042450172,0.000010034342,0.000033161872],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873656,0.000019377314,0.0003623559,0.0004950882,0.00017931829,0.0002072768],"domain_scores_gemma":[0.9989963,0.00005164593,0.00017875801,0.00058081065,0.00008512872,0.00010733195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014015238,0.00015837961,0.0003458171,0.00021927743,0.00015616255,0.000019714034,0.00026527236,0.00007576111,0.000010342266],"category_scores_gemma":[0.000033136093,0.00015601637,0.00005023272,0.00050282147,0.0001565145,0.00008685584,0.00018924206,0.000108861364,1.8515071e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013782672,0.00064557773,0.8323421,0.00063226017,0.0007219628,0.000002329388,0.00096568244,0.013109955,0.099974655,0.0006889787,0.00011937551,0.05065931],"study_design_scores_gemma":[0.00075646193,0.00026795216,0.17830063,0.00007165189,0.0010489493,0.000067036075,0.001171433,0.8067414,0.007953269,0.0022037274,0.000718922,0.00069855613],"about_ca_topic_score_codex":0.0006187883,"about_ca_topic_score_gemma":0.000017768745,"teacher_disagreement_score":0.79363143,"about_ca_system_score_codex":0.00001643343,"about_ca_system_score_gemma":0.00002679473,"threshold_uncertainty_score":0.6362163},"labels":[],"label_agreement":null},{"id":"W1969782660","doi":"10.1074/mcp.m200074-mcp200","title":"PRISM, a Generic Large Scale Proteomic Investigation Strategy for Mammals*S","year":2003,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Scale (ratio); Computational biology; Prism; Computer science; Biology; Geography; Cartography; Physics; Optics","score_opus":0.015671726718290056,"score_gpt":0.24921433778856636,"score_spread":0.2335426110702763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969782660","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5061996,0.0001438266,0.49056125,0.000075151256,0.000018083292,0.0016179624,0.000041327665,0.0001840382,0.0011587907],"genre_scores_gemma":[0.46612534,0.000027598968,0.52742213,0.00016527637,0.00007241798,0.0047881445,0.00027187078,0.00014547157,0.000981778],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976788,0.000054437576,0.0005571448,0.00077517,0.00024392443,0.00069049443],"domain_scores_gemma":[0.9984227,0.000018976889,0.00032928953,0.0008849309,0.00012734713,0.00021679775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039489724,0.0004125906,0.0003395164,0.000084994936,0.00031411526,0.00010549963,0.00039727954,0.00036851742,0.0001013105],"category_scores_gemma":[0.00007858568,0.00046201362,0.00023876526,0.00026387567,0.00010122541,0.00013491699,0.00007494616,0.00037522777,0.000028453776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023387971,0.00009704594,0.00016719752,0.00014231302,0.00002702257,0.0000066549537,0.00006576114,0.00033571554,0.9837769,0.0149479,0.000072856674,0.00033719602],"study_design_scores_gemma":[0.0008406641,0.000053554486,0.0000038307035,0.000034925815,0.00004659818,0.000016843484,0.000049028404,0.0040678624,0.94361323,0.042371333,0.008387537,0.0005145918],"about_ca_topic_score_codex":0.000008868568,"about_ca_topic_score_gemma":0.000002353395,"teacher_disagreement_score":0.04016372,"about_ca_system_score_codex":0.00017391624,"about_ca_system_score_gemma":0.00021031366,"threshold_uncertainty_score":0.99978316},"labels":[],"label_agreement":null},{"id":"W1969836997","doi":"10.1002/ijc.23844","title":"Tissue culture‐based breast cancer biomarker discovery platform","year":2008,"lang":"en","type":"review","venue":"International Journal of Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Proteomics; Biomarker; Breast cancer; Cancer; Cancer biomarkers; Computational biology; Bioinformatics; Biology; Medicine; Cancer research; Internal medicine; Genetics; Gene","score_opus":0.03916503250773459,"score_gpt":0.4080644863411277,"score_spread":0.36889945383339307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969836997","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009962304,0.99032265,0.0054166536,0.00027821684,0.00055402314,0.00014091379,0.0020614415,0.000029597477,0.001186545],"genre_scores_gemma":[0.00008412535,0.9938536,0.0019773177,0.00011915152,0.0018128677,0.00024255046,0.000099037534,0.00006786986,0.0017434501],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980128,0.000009531367,0.00091119093,0.00025046684,0.0006167785,0.00019922196],"domain_scores_gemma":[0.9973833,0.000059680537,0.0016467316,0.00022865544,0.00057455123,0.00010706034],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000053206117,0.00036674587,0.0008151931,0.00017721094,0.00006206932,0.000093263676,0.0010195634,0.00028955663,0.0012766098],"category_scores_gemma":[0.000013630642,0.00027269125,0.00060540345,0.00013456435,0.00008789125,0.000356485,0.000085665786,0.00062764215,0.000008887967],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051113075,0.000071799965,0.000018280629,0.0006374431,0.0006994309,0.00006314381,0.000012618208,0.000029342642,0.00022797172,0.00016750263,0.007077395,0.99094397],"study_design_scores_gemma":[0.000309093,0.0000068843683,0.0000029148885,0.009353795,0.00024944695,0.00071259245,0.0000031574225,0.000009850746,0.0012279837,0.00023919375,0.98758775,0.00029733445],"about_ca_topic_score_codex":0.000086981694,"about_ca_topic_score_gemma":0.000017169355,"teacher_disagreement_score":0.9906466,"about_ca_system_score_codex":0.0009947421,"about_ca_system_score_gemma":0.0009140748,"threshold_uncertainty_score":0.9999725},"labels":[],"label_agreement":null},{"id":"W1970172743","doi":"10.1021/ac0013709","title":"Charting the Proteomes of Organisms with Unsequenced Genomes by MALDI-Quadrupole Time-of-Flight Mass Spectrometry and BLAST Homology Searching","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":585,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Mass spectrometry; Chemistry; Proteome; Genome; Peptide mass fingerprinting; Computational biology; Sequence database; Mass spectrum; Database search engine; Proteomics; Homology (biology); Chromatography; Biochemistry; Gene; Biology","score_opus":0.0067097220732757245,"score_gpt":0.2438116601709898,"score_spread":0.23710193809771407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970172743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764339,0.00019190228,0.012204368,0.00065821945,0.0000011416619,0.0001346331,0.00003637585,0.000057689645,0.0102818115],"genre_scores_gemma":[0.9863367,0.00008824956,0.011492163,0.000027048676,0.000044115495,0.000038103786,0.000022575015,0.000027698867,0.0019233198],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988913,0.00000932101,0.00031348242,0.0003081885,0.00018207435,0.000295647],"domain_scores_gemma":[0.9991217,0.00012535625,0.00019439653,0.00039541203,0.000068124216,0.00009498996],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013308464,0.00017069538,0.00028466905,0.000020398,0.00010467499,0.00001809661,0.00029132218,0.00011744562,0.0011173709],"category_scores_gemma":[0.000049176015,0.00012393133,0.000051105275,0.00024540833,0.0004927684,0.000041887382,0.000090228714,0.0003212425,0.000004623991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002537713,0.000041747968,0.0031312297,0.00012141967,0.000050282964,0.000006680828,0.000048892533,0.000007586877,0.9959474,0.00033506524,0.000028217644,0.0002560934],"study_design_scores_gemma":[0.00018136528,0.000028720448,0.000027192607,0.000041600095,0.00003917324,0.00006410429,0.00017285698,0.0009305877,0.99597263,0.0020317219,0.00035982294,0.00015023872],"about_ca_topic_score_codex":0.000012533533,"about_ca_topic_score_gemma":2.3720862e-7,"teacher_disagreement_score":0.009902868,"about_ca_system_score_codex":0.00003721791,"about_ca_system_score_gemma":0.00004360683,"threshold_uncertainty_score":0.99979573},"labels":[],"label_agreement":null},{"id":"W1970347697","doi":"10.1002/prca.201200079","title":"Proteomic analyses of serous and endometrioid epithelial ovarian cancers – Cases studies – Molecular insights of a possible histological etiology of serous ovarian cancer","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique","keywords":"Serous fluid; Ovarian cancer; Fallopian tube; Clear cell; Pathology; Serous Cystadenoma; Serous carcinoma; Biology; Adenocarcinoma; Endometrium; Context (archaeology); Serous ovarian cancer; Cystadenocarcinoma; Cancer research; Medicine; Oncology; Cancer; Internal medicine; Carcinoma; Gynecology","score_opus":0.08939373316208145,"score_gpt":0.417016033686811,"score_spread":0.32762230052472957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970347697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94454974,0.0017139892,0.049723078,0.0004773086,0.000024073493,0.0027683233,0.0003716903,0.00008188645,0.0002899308],"genre_scores_gemma":[0.817489,0.0027896832,0.17149842,0.00006540656,0.00006961118,0.007967841,0.000033564054,0.000033888056,0.000052538075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996899,0.00009631245,0.0017659009,0.0007124459,0.0002064714,0.0003198474],"domain_scores_gemma":[0.9960948,0.00069965003,0.0014928988,0.00084401894,0.00070001726,0.00016860622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028579205,0.0003247653,0.0011427439,0.00017874231,0.00014268007,0.000012478075,0.0005216317,0.00040431312,0.00010381666],"category_scores_gemma":[0.0005755769,0.0002836758,0.0002528933,0.00059245405,0.0012647932,0.00010106726,0.00028542944,0.00044967644,0.0000037371144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014242185,0.00042244885,0.0041792006,0.00040760063,0.00041923026,0.0000018895188,0.00013047586,0.00022727331,0.9768272,0.011406376,0.000029423016,0.005806447],"study_design_scores_gemma":[0.0013428705,0.00030166726,0.0016670442,0.00012025684,0.00032859936,0.000024726947,0.00016676559,0.00049558526,0.9413652,0.053310987,0.00047526433,0.0004010457],"about_ca_topic_score_codex":0.0021687197,"about_ca_topic_score_gemma":0.000055760203,"teacher_disagreement_score":0.12706068,"about_ca_system_score_codex":0.00014487062,"about_ca_system_score_gemma":0.0003097222,"threshold_uncertainty_score":0.99996156},"labels":[],"label_agreement":null},{"id":"W1970761334","doi":"10.1631/jzus.2006.b0411","title":"Proteomic technology for biomarker profiling in cancer: an update","year":2006,"lang":"en","type":"review","venue":"Journal of Zhejiang University SCIENCE B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Cancer Institute; Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance; Cancer Research Society","keywords":"Proteome; Computational biology; Proteomics; Biomarker discovery; Cancer; Biomarker; Biology; Cancer biomarkers; Bioinformatics; Human proteome project; Gene; Genetics","score_opus":0.04148052899865682,"score_gpt":0.35811931569459415,"score_spread":0.3166387866959373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970761334","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009230672,0.96219945,0.023753934,0.00048348488,0.00017222084,0.0022932843,0.00040458565,0.00015956291,0.0013027797],"genre_scores_gemma":[0.00011084165,0.8938258,0.105639994,0.000004977525,0.00007173586,0.000016332495,0.000012135559,0.000020829557,0.00029730206],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988285,0.000011387281,0.00039462422,0.00030646476,0.00016962965,0.0002894358],"domain_scores_gemma":[0.9984527,0.000021097389,0.00093300396,0.0002786761,0.00023272919,0.00008179427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042619384,0.00017851885,0.0005922596,0.0009003935,0.00019095921,0.000031318235,0.0012404437,0.0002358306,0.000011124459],"category_scores_gemma":[0.00003321931,0.0001657947,0.00018063618,0.0012074356,0.00032501528,0.00042988436,0.0001143336,0.00043818046,0.0000010192883],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031131796,0.00015419813,0.00014725378,0.0026250521,0.00002902,0.00004869981,0.0000139188905,0.000036192156,0.009743888,0.004300745,0.00013155618,0.9827383],"study_design_scores_gemma":[0.00028951335,0.000038118047,0.0000021178384,0.0032312195,0.00013686443,0.0000818362,0.00006884515,0.00012470684,0.0048310873,0.0011450605,0.9897616,0.00028905875],"about_ca_topic_score_codex":0.00001999171,"about_ca_topic_score_gemma":0.000009543237,"teacher_disagreement_score":0.98963004,"about_ca_system_score_codex":0.0008500933,"about_ca_system_score_gemma":0.0011984212,"threshold_uncertainty_score":0.6760912},"labels":[],"label_agreement":null},{"id":"W1970806484","doi":"10.1093/bioinformatics/btv107","title":"The GPMDB REST interface","year":2015,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Rest (music); Computer science; Interface (matter); Documentation; File Transfer Protocol; MIT License; Representational state transfer; Service (business); Software; Database; World Wide Web; Programming language; The Internet; Operating system; Web service","score_opus":0.027811404180778206,"score_gpt":0.2976196948278157,"score_spread":0.2698082906470375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970806484","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032391015,0.00041750068,0.35500357,0.0022114296,0.00013798069,0.00032491112,0.000045956673,0.0007220011,0.60874563],"genre_scores_gemma":[0.44681415,0.00036629662,0.5361993,0.00035414784,0.00025151164,0.000235932,0.000042250584,0.00004476674,0.01569166],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954706,0.0000015771304,0.00019021897,0.000041594245,0.000094402145,0.00012512208],"domain_scores_gemma":[0.9994113,0.00003355691,0.00008596214,0.00035007362,0.000052925487,0.000066194894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009916246,0.00006334664,0.000049066562,0.0000072586427,0.00011361517,0.000050942977,0.00024828556,0.000044411958,0.00001359582],"category_scores_gemma":[0.0000658936,0.00004230764,0.000021714848,0.000051127656,0.00005467067,0.000086978966,0.00008625177,0.00010665244,0.00013781173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016555781,0.00019756182,0.0011104014,0.00035086035,0.00010629645,0.0000032246173,0.0071351724,0.0008567663,0.0218839,0.26479197,0.3814041,0.3219942],"study_design_scores_gemma":[0.00013956902,0.0000111994195,0.0000033266754,0.00001556669,0.00000407874,0.000008422898,0.0010166859,0.010783333,0.07509027,0.00846879,0.9043495,0.000109255336],"about_ca_topic_score_codex":0.0000035981398,"about_ca_topic_score_gemma":0.0000026036992,"teacher_disagreement_score":0.593054,"about_ca_system_score_codex":0.000043449025,"about_ca_system_score_gemma":0.0000315289,"threshold_uncertainty_score":0.1771337},"labels":[],"label_agreement":null},{"id":"W1971083640","doi":"10.1021/pr0700246","title":"Assessing Detection Methods for Gel-Based Proteomic Analyses","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computational biology; Chromatography; Proteomics; Computer science; Chemistry; Biology; Biochemistry; Gene","score_opus":0.28632332930817156,"score_gpt":0.6144922563299158,"score_spread":0.3281689270217442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971083640","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16887607,0.00014014459,0.8294151,0.00023230795,0.000022390994,0.0006776015,0.0000024380183,0.00003519759,0.00059878937],"genre_scores_gemma":[0.3581368,0.000012276114,0.6411475,0.000008379239,0.00031927042,0.0002304628,0.0000015061236,0.00002925492,0.00011454251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792033,0.00012441678,0.0007166315,0.0002318852,0.00049070927,0.00051604013],"domain_scores_gemma":[0.9968194,0.0007869191,0.00051770615,0.00032755235,0.0013646787,0.00018373887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009093231,0.00013975144,0.00029107195,0.0005431304,0.0003904951,0.0001654787,0.0004283817,0.00019060902,0.00007205703],"category_scores_gemma":[0.0012764459,0.000118565986,0.00023461269,0.00059878686,0.00013124429,0.00033719276,0.00005654518,0.0010373505,0.000002478041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019949833,0.00008189615,0.000052331383,0.0001536934,0.000025998495,0.0000040848704,0.000015739264,0.000054219643,0.91169155,0.00006844094,0.00001742946,0.08763509],"study_design_scores_gemma":[0.0005129374,0.00016590698,0.00008972518,0.00012724537,0.000019607254,0.00003618127,0.00012370462,0.0024150203,0.97940934,0.012498678,0.004477953,0.00012372015],"about_ca_topic_score_codex":0.000012684312,"about_ca_topic_score_gemma":0.0000019738864,"teacher_disagreement_score":0.18926075,"about_ca_system_score_codex":0.00043570192,"about_ca_system_score_gemma":0.0003116243,"threshold_uncertainty_score":0.48349807},"labels":[],"label_agreement":null},{"id":"W1971091157","doi":"10.1021/ac048698c","title":"Blending Protein Separation and Peptide Analysis through Real-Time Proteolytic Digestion","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canada Research Chairs","keywords":"Chemistry; Chromatography; Digestion (alchemy); Proteolytic enzymes; Bottom-up proteomics; Elution; Peptide; Mass spectrometry; Sample preparation; Electrospray; Proteomics; Ionic strength; Protein purification; Electrospray ionization; Biochemistry; Protein mass spectrometry; Enzyme","score_opus":0.011243163830644288,"score_gpt":0.29959625941999446,"score_spread":0.2883530955893502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971091157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9049306,0.000035377696,0.017148972,0.0007725939,0.0000012039804,0.00023717924,0.000024192363,0.0003265077,0.07652341],"genre_scores_gemma":[0.95138675,0.00005761726,0.034057416,0.000027489723,0.00019003768,0.00024905897,0.00015459632,0.000026470758,0.013850537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986472,0.000006871111,0.000359716,0.0004961935,0.00020050777,0.000289519],"domain_scores_gemma":[0.9991844,0.000044065735,0.00014331157,0.00043422982,0.000065333435,0.00012864947],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010000488,0.00021603054,0.00028277966,0.000029808205,0.0001577132,0.00006528965,0.0001512582,0.00019862376,0.0009709158],"category_scores_gemma":[0.0000655814,0.0002203109,0.00013293269,0.00037312688,0.00011264363,0.00021125277,0.00007405113,0.00025825948,0.0000384775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002523516,0.000091005124,0.0010129448,0.00011087308,0.0001702896,0.0000029117662,0.000045772773,0.0003519369,0.99538666,0.0017806005,0.00014866662,0.0008731264],"study_design_scores_gemma":[0.00021470748,0.000008620034,0.000081823295,0.000052425577,0.0004222283,0.000010162864,0.000026223377,0.053384744,0.93854606,0.00336038,0.0035406663,0.00035196124],"about_ca_topic_score_codex":0.000029530793,"about_ca_topic_score_gemma":0.0000022474117,"teacher_disagreement_score":0.06267287,"about_ca_system_score_codex":0.00015147684,"about_ca_system_score_gemma":0.00003193434,"threshold_uncertainty_score":0.9999423},"labels":[],"label_agreement":null},{"id":"W1971163936","doi":"10.1002/pmic.200900758","title":"Matrigel: A complex protein mixture required for optimal growth of cell culture","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1514,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Matrigel; Extracellular matrix; Basement membrane; Stem cell; Matrix (chemical analysis); Cell biology; Laminin; Cell culture; Chemistry; Biology; Cell; Biochemistry; Chromatography","score_opus":0.01397598485287738,"score_gpt":0.27155501373857527,"score_spread":0.2575790288856979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971163936","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5830734,0.00003037681,0.40659496,0.0004342253,0.00003143692,0.0032975907,0.0007333492,0.00034689638,0.005457769],"genre_scores_gemma":[0.3063322,0.0000071015456,0.690618,0.000024971643,0.0001368067,0.0016657563,0.000113273854,0.000043844044,0.0010580486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988962,0.0000050094354,0.00035356134,0.00033959234,0.0001236531,0.00028201286],"domain_scores_gemma":[0.99886006,0.000020169377,0.00031067667,0.0004803812,0.00024131882,0.00008736505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108002976,0.00021377821,0.00025711616,0.00003259486,0.00012959307,0.000026243511,0.0004409527,0.00031496346,0.00010904583],"category_scores_gemma":[0.00006697508,0.00020028742,0.00014575127,0.00011029113,0.00011009231,0.00008594254,0.000091229034,0.00042361039,0.000005092199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089019784,0.000104439205,0.000037793587,0.00036438496,0.000008881447,3.810807e-7,0.00008931497,0.0000037185791,0.9840807,0.014552158,0.0005227794,0.00014648316],"study_design_scores_gemma":[0.0005337564,0.000044921122,0.0000029505354,0.000025271063,0.00001534523,0.0000055915184,0.000024942061,0.0008289927,0.9652224,0.022867609,0.01019462,0.00023356959],"about_ca_topic_score_codex":0.000010993741,"about_ca_topic_score_gemma":0.0000030154704,"teacher_disagreement_score":0.28402305,"about_ca_system_score_codex":0.000027104537,"about_ca_system_score_gemma":0.000058356913,"threshold_uncertainty_score":0.8167484},"labels":[],"label_agreement":null},{"id":"W1971378925","doi":"10.1016/j.jcss.2004.12.001","title":"An effective algorithm for peptide de novo sequencing from MS/MS spectra","year":2005,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); Western University","funders":"","keywords":"Computer science; Task (project management); Proteomics; Algorithm; Dynamic programming; Sequence (biology); Identification (biology); Computational biology; Biology; Genetics; Engineering","score_opus":0.013237746815717362,"score_gpt":0.2886852760603667,"score_spread":0.2754475292446493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971378925","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34768516,0.000112926034,0.65160227,0.000050473896,0.000028761411,0.00006887359,0.000009590786,0.000018194916,0.00042375087],"genre_scores_gemma":[0.48714364,0.000007848133,0.5120805,0.000022783554,0.000727034,0.0000074886325,4.3617766e-7,0.0000031487216,0.000007131703],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993173,0.000015091415,0.00025275417,0.00014398214,0.00013160879,0.00013926833],"domain_scores_gemma":[0.99940985,0.00011905215,0.0002237979,0.000083521096,0.000075524345,0.000088255176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041803464,0.000079390724,0.00017173796,0.00004084391,0.00018305988,0.000105739084,0.00023840053,0.00003881084,0.0000049923206],"category_scores_gemma":[0.0000029006142,0.00006018259,0.00005818299,0.00005845001,0.000060815888,0.00025332897,0.000017637796,0.000094106275,4.251355e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037720245,0.00012267273,0.00254538,0.0001706229,0.00009223873,0.000029336354,0.002476485,0.0067036008,0.3089518,0.0057493052,0.00035127037,0.6727696],"study_design_scores_gemma":[0.0007681224,0.0004526713,0.00050399336,0.000538519,0.000042817363,0.001038092,0.0008540404,0.7067152,0.28040418,0.0059968187,0.0023908783,0.00029464893],"about_ca_topic_score_codex":0.000021987129,"about_ca_topic_score_gemma":0.000003877958,"teacher_disagreement_score":0.7000116,"about_ca_system_score_codex":0.00012221345,"about_ca_system_score_gemma":0.00005444988,"threshold_uncertainty_score":0.24541748},"labels":[],"label_agreement":null},{"id":"W1971723207","doi":"10.1021/pr8005217","title":"Human Serum Proteins Fractionated by Preparative Partition Chromatography Prior to LC-ESI-MS/MS","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chemistry; Chromatography; Tandem mass spectrometry; Fractionation; Mass spectrometry; Electrospray ionization; Blood proteins; Proteome; Electrospray; Ion suppression in liquid chromatography–mass spectrometry; Biochemistry","score_opus":0.03949817490499524,"score_gpt":0.41002459144708436,"score_spread":0.3705264165420891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971723207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96801823,0.00017132131,0.017013147,0.0050395015,0.00001890807,0.002253855,0.00007119294,0.00012932533,0.007284523],"genre_scores_gemma":[0.96320844,0.000062454215,0.034257784,0.00006327051,0.00031138596,0.00064041745,0.000014107794,0.00003299413,0.0014091315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745077,0.00009968375,0.00065463106,0.00032222358,0.0009613775,0.00051133975],"domain_scores_gemma":[0.9978184,0.00004857999,0.00040795913,0.00040357313,0.0009966281,0.0003248436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010575462,0.00018959795,0.00029789357,0.00036263897,0.00053357193,0.00012619077,0.00050185056,0.00019330814,0.0006438346],"category_scores_gemma":[0.0001578502,0.00017023378,0.00015497375,0.0008339027,0.0001041075,0.00039621117,0.000072771174,0.0012091437,0.00003626026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012109643,0.000398939,0.00014009725,0.000046087906,0.000034703353,0.000011229335,0.00014466044,0.000022933433,0.9885156,0.00055198313,0.008213905,0.001798723],"study_design_scores_gemma":[0.00050091813,0.0008381833,0.0009069703,0.00024585912,0.000009041612,0.00003963316,0.00008691778,0.000040366023,0.9468085,0.020701738,0.029614111,0.00020776925],"about_ca_topic_score_codex":0.000027063777,"about_ca_topic_score_gemma":0.000004321182,"teacher_disagreement_score":0.04170715,"about_ca_system_score_codex":0.0002961468,"about_ca_system_score_gemma":0.00016040463,"threshold_uncertainty_score":0.70495373},"labels":[],"label_agreement":null},{"id":"W1971824923","doi":"10.1007/s00216-007-1385-x","title":"Co-immunoprecipitations revisited: an update on experimental concepts and their implementation for sensitive interactome investigations of endogenous proteins","year":2007,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"National Institute of General Medical Sciences","keywords":"Interactome; Immunoprecipitation; Computer science; Computational biology; Identification (biology); Terminology; Protein–protein interaction; Sample (material); Data mining; Chemistry; Chromatography; Biology; Biochemistry","score_opus":0.08026758233351361,"score_gpt":0.4231120986951127,"score_spread":0.34284451636159907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971824923","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016472997,0.93948054,0.014030163,0.00036584734,0.000033207896,0.0051618526,0.014504195,0.00041687558,0.009534317],"genre_scores_gemma":[0.09065666,0.8840668,0.013462884,0.0002206045,0.0004527128,0.0010712498,0.009549713,0.00016839166,0.00035094726],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99790967,0.000025155985,0.00090324756,0.000674575,0.00015953454,0.00032784187],"domain_scores_gemma":[0.9982502,0.00049972755,0.0003929222,0.00041089833,0.00014846717,0.00029782724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019051046,0.00047753393,0.0010926529,0.0000838647,0.00017849894,0.00006245889,0.00018895231,0.00037370628,0.00018216718],"category_scores_gemma":[0.000091685775,0.00038208324,0.00029689798,0.0002064283,0.0005894212,0.00009193578,0.000071176466,0.00042302167,0.0000022229915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022100529,0.0018789085,0.000037168964,0.025609223,0.0021156913,0.000022325716,0.0006306563,0.0000012849227,0.1556398,0.040732156,0.0002431563,0.77286863],"study_design_scores_gemma":[0.00079647335,0.0003008797,8.8461456e-7,0.0034093824,0.0013672913,0.0001346713,0.001541604,0.000772297,0.7027363,0.0022071686,0.28557324,0.0011597705],"about_ca_topic_score_codex":0.000011329632,"about_ca_topic_score_gemma":0.0000011485096,"teacher_disagreement_score":0.77170885,"about_ca_system_score_codex":0.00011600979,"about_ca_system_score_gemma":0.000104376275,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W1971887998","doi":"10.1002/rcm.1196","title":"PEAKS: powerful software for peptide <i>de novo</i> sequencing by tandem mass spectrometry","year":2003,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1382,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bioinformatics Solutions (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tandem mass spectrometry; Chemistry; Software; Mass spectrometry; Peptide; Computational biology; Tandem; Peptide sequence; Sequence (biology); Combinatorial chemistry; Chromatography; Computer science; Biochemistry; Biology; Gene","score_opus":0.02015743695278633,"score_gpt":0.2917216138285507,"score_spread":0.2715641768757644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971887998","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026045762,0.0049107764,0.8901935,0.0012251762,0.000047301495,0.0008513951,0.0003446758,0.00071552483,0.07566589],"genre_scores_gemma":[0.30283514,0.0024128687,0.6921122,0.00016667042,0.000048941973,0.0006212879,0.00022484825,0.000095777876,0.0014822795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99739313,0.00010209998,0.00075644715,0.0006323901,0.00026597915,0.0008499806],"domain_scores_gemma":[0.9952742,0.00078476354,0.00035073978,0.0032565983,0.00015991632,0.00017378737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007757969,0.0004094617,0.00047699595,0.0003675201,0.00044829183,0.00010675795,0.0019301182,0.0003150106,0.0008632987],"category_scores_gemma":[0.00071939256,0.0004932428,0.00021244994,0.0015961961,0.00022936273,0.00022077408,0.00017803747,0.0010662484,0.00003255407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018512452,0.0002938092,0.007355647,0.00009774525,0.00007380862,0.000002668346,0.00014576188,0.000048781,0.9482968,0.040337455,0.0028345266,0.0004945261],"study_design_scores_gemma":[0.0017556567,0.00012602101,0.00007654083,0.00019102191,0.000070432296,0.00009713064,0.0014740352,0.0010374769,0.71391636,0.1475871,0.13233995,0.0013282321],"about_ca_topic_score_codex":0.000021611142,"about_ca_topic_score_gemma":0.000013104651,"teacher_disagreement_score":0.27678937,"about_ca_system_score_codex":0.0016945087,"about_ca_system_score_gemma":0.0002524014,"threshold_uncertainty_score":0.9997519},"labels":[],"label_agreement":null},{"id":"W1971991566","doi":"10.1074/mcp.h900005-mcp200","title":"Summary of United States Human Proteome Organisation (HUPO) Symposium Entitled “Standardized Clinical Proteomics Platforms”","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; University of North Carolina at Chapel Hill; York University; Broad Institute; University of Victoria; Massachusetts General Hospital; Memorial Sloan-Kettering Cancer Center; Massachusetts Institute of Technology","keywords":"Human proteome project; Proteome; Proteomics; Library science; Computational biology; Data science; Political science; Bioinformatics; Biology; Computer science; Genetics","score_opus":0.012864148502123378,"score_gpt":0.28789522887545893,"score_spread":0.27503108037333557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971991566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7758491,0.000059820977,0.21979205,0.00031945945,0.000029607969,0.0022149086,0.00011239686,0.00032901764,0.0012936376],"genre_scores_gemma":[0.7603827,0.00019390712,0.23562938,0.00030960533,0.00015994234,0.0005661563,0.0019372309,0.00016540306,0.000655643],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99652797,0.00006312154,0.0014811363,0.00079743314,0.00053821184,0.0005921224],"domain_scores_gemma":[0.99721676,0.00003988527,0.0008999629,0.0012509464,0.00035690243,0.00023556808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071974966,0.000529727,0.0007403444,0.00022515241,0.0002886855,0.000088631416,0.00071525626,0.0005649574,0.00023073163],"category_scores_gemma":[0.00008731595,0.00054874097,0.00039242927,0.0004609948,0.00024360669,0.00014663352,0.00019163979,0.00080664066,0.000020425467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019956137,0.00037859756,0.0002562147,0.00014464493,0.00008015321,0.000024459094,0.00013173006,0.00046606016,0.992948,0.0049779564,0.00010155371,0.00029105355],"study_design_scores_gemma":[0.0016115366,0.0002617527,0.000019025134,0.00012997077,0.00009650398,0.000009978136,0.000058844078,0.0015650385,0.95843077,0.035506755,0.0017315192,0.00057833636],"about_ca_topic_score_codex":0.000048187238,"about_ca_topic_score_gemma":0.000003021837,"teacher_disagreement_score":0.034517277,"about_ca_system_score_codex":0.0002431221,"about_ca_system_score_gemma":0.0001798616,"threshold_uncertainty_score":0.99969643},"labels":[],"label_agreement":null},{"id":"W1972878824","doi":"10.1158/1538-7445.am2014-4716","title":"Abstract 4716: Discovery of biomarkers from highly enriched prostate cancer microparticles for prognostication of prostate cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Prostate cancer; Prostatectomy; Medicine; Prostate; Biopsy; Cancer; Urology; PCA3; Flow cytometry; Lymph node; Pathology; Internal medicine; Immunology","score_opus":0.03933019718290282,"score_gpt":0.3864289645103644,"score_spread":0.3470987673274616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972878824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922196,0.0018678923,0.0012687596,0.0010161942,0.000033862252,0.0012218494,0.0021218718,0.00004966479,0.00020030816],"genre_scores_gemma":[0.9847652,0.002279137,0.004443449,0.000015824775,0.000138899,0.0077564903,0.000111411,0.000051989995,0.00043763526],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982267,0.000029388872,0.0004747034,0.00046795857,0.00034764226,0.00045359612],"domain_scores_gemma":[0.99808586,0.0003781026,0.00031232173,0.00048859476,0.0006429066,0.000092201946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038957354,0.00016526133,0.00028056937,0.00008414767,0.00012452787,0.00004054612,0.00036618352,0.00010559903,0.00014288045],"category_scores_gemma":[0.00015223492,0.00015086636,0.00008343082,0.00031579894,0.00039070722,0.0001853381,0.0001011498,0.00022442602,0.0000018297864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046663883,0.000108279295,0.013651301,0.0006033193,0.000081488324,1.769505e-7,0.0002818703,0.000099582256,0.95619935,0.00066765497,0.0006921972,0.027148165],"study_design_scores_gemma":[0.0006301125,0.000038738763,0.003449673,0.00033392393,0.00003068565,9.220931e-8,0.00011587743,0.00029959902,0.98424643,0.006133986,0.004551456,0.0001694451],"about_ca_topic_score_codex":0.0054752724,"about_ca_topic_score_gemma":0.00037616852,"teacher_disagreement_score":0.028047083,"about_ca_system_score_codex":0.00022228864,"about_ca_system_score_gemma":0.00035962646,"threshold_uncertainty_score":0.82770103},"labels":[],"label_agreement":null},{"id":"W1973321737","doi":"10.1016/j.bbapap.2014.09.006","title":"Toward an integrated pipeline for protein biomarker development","year":2014,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Biomarker; Biomarker discovery; Proteomics; Identification (biology); Pipeline (software); Computer science; Multidisciplinary approach; Computational biology; Data science; Biology","score_opus":0.05603511569599983,"score_gpt":0.332429389812474,"score_spread":0.27639427411647416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973321737","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017825194,0.49565655,0.42371613,0.0011176815,0.00019786823,0.05184808,0.005610857,0.0027702912,0.0012573404],"genre_scores_gemma":[0.0007191085,0.4910694,0.47175068,0.00009846037,0.00048856233,0.029825704,0.0044747973,0.0004734446,0.0010998327],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950627,0.00013702564,0.0016980034,0.0018646917,0.00034205464,0.00089550624],"domain_scores_gemma":[0.996246,0.00009174154,0.0015013565,0.0014489671,0.00028255928,0.00042937693],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006129664,0.0015409902,0.0023972248,0.00025887854,0.00047912798,0.0003523058,0.0011784089,0.0012331278,0.00005987923],"category_scores_gemma":[0.00011742853,0.0012899468,0.0006210944,0.00043365153,0.00029498246,0.00024862267,0.00045689874,0.001086358,0.000019996834],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019620002,0.0005446351,3.2620957e-8,0.02541302,0.000311999,0.0000024341114,0.00013889428,2.4330166e-7,0.23694709,0.0017472589,0.00025158832,0.7344466],"study_design_scores_gemma":[0.00046558696,0.00012515919,1.2034128e-7,0.0052280757,0.00026835556,0.000018611627,0.0000150338865,0.00025781983,0.33427575,0.0011714828,0.65680176,0.0013722385],"about_ca_topic_score_codex":0.000035345543,"about_ca_topic_score_gemma":0.0000066589473,"teacher_disagreement_score":0.73307437,"about_ca_system_score_codex":0.0002728876,"about_ca_system_score_gemma":0.00088128913,"threshold_uncertainty_score":0.99973387},"labels":[],"label_agreement":null},{"id":"W1973325700","doi":"10.1038/nmeth1007-783","title":"The protein microscope: incorporating mass spectrometry into cell biology","year":2007,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Vetenskapsrådet; Genome Canada; Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; McGill University","keywords":"Mass spectrometry; Microscope; Proteomics; Mass spectrometry imaging; Chemistry; Computational biology; Biology; Biophysics; Cell biology; Chromatography; Biochemistry; Physics; Gene; Optics","score_opus":0.009010331839024749,"score_gpt":0.3805724599151972,"score_spread":0.3715621280761725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973325700","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021895366,0.002028296,0.9422868,0.00036483014,0.0000681104,0.00026250136,0.000006325633,0.00018153622,0.032906216],"genre_scores_gemma":[0.1001366,0.00002535995,0.89820516,0.000111672896,0.00021745799,0.00009155118,0.0000132353325,0.000028266648,0.0011707053],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989415,0.00006158999,0.0002869516,0.00031885115,0.00007994711,0.00031119635],"domain_scores_gemma":[0.9986932,0.00040855035,0.00022584684,0.00053383736,0.00007461622,0.00006390723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016066203,0.00016343546,0.00015542957,0.000046367222,0.00035535652,0.000036084773,0.0004512804,0.0005272491,0.000038900638],"category_scores_gemma":[0.00026466075,0.00011833658,0.000069939306,0.00034701594,0.00012803446,0.000035688474,0.00011267572,0.0013872114,0.0000056834533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014445974,0.00001310018,0.00011633541,0.000022040824,0.0000055823025,0.0000010632331,0.000012809184,4.6536098e-7,0.9460883,0.017519286,0.000047165035,0.036159363],"study_design_scores_gemma":[0.000078513556,0.000012078293,0.000006325572,0.000008950839,0.0000044138365,0.0000019594215,0.00003950677,0.000022058377,0.7955016,0.13607375,0.06813393,0.000116927025],"about_ca_topic_score_codex":0.000010447394,"about_ca_topic_score_gemma":0.0000048538172,"teacher_disagreement_score":0.15058675,"about_ca_system_score_codex":0.000105446896,"about_ca_system_score_gemma":0.000035163604,"threshold_uncertainty_score":0.60268205},"labels":[],"label_agreement":null},{"id":"W1973361127","doi":"10.1021/pr201092v","title":"Precision of Heavy–Light Peptide Ratios Measured by MALDI-TOF Mass Spectrometry","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Cancer Institute","keywords":"Peptide; Chemistry; Chromatography; Mass spectrometry; Isotope dilution; Standard curve; Analytical Chemistry (journal); Dilution; Biochemistry","score_opus":0.0502299800637798,"score_gpt":0.37524130976864234,"score_spread":0.3250113297048625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973361127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80814075,0.0044219447,0.1651236,0.0033786634,0.00008493903,0.0014523899,0.00008597441,0.00006811646,0.017243626],"genre_scores_gemma":[0.8407851,0.000373584,0.15604359,0.0000074285867,0.00044252176,0.00010707776,0.0000046523405,0.000041903626,0.0021941874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99693066,0.00012092802,0.000787949,0.0001808538,0.0014098722,0.00056974526],"domain_scores_gemma":[0.99759287,0.0001907873,0.00052762334,0.0004890802,0.0008958234,0.00030383407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031544766,0.00015609497,0.00036823688,0.00031497207,0.00015362806,0.000040667244,0.00062430376,0.0001823792,0.0007447779],"category_scores_gemma":[0.00057308294,0.00012936162,0.00017156232,0.0005758495,0.00011499776,0.0003973412,0.00012185432,0.0011932313,0.000023252516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020760948,0.00025071597,0.0014506814,0.00012462016,0.000037883867,0.0000028476366,0.000078044395,0.0000030798253,0.99157834,0.00039830556,0.0050287587,0.0008391276],"study_design_scores_gemma":[0.00038942872,0.00015597433,0.00011831042,0.0001695282,0.00001062322,0.00005334651,0.00012520763,0.000020546704,0.9775433,0.005505527,0.01578575,0.00012247906],"about_ca_topic_score_codex":0.000008307625,"about_ca_topic_score_gemma":3.43125e-7,"teacher_disagreement_score":0.032644313,"about_ca_system_score_codex":0.0002942414,"about_ca_system_score_gemma":0.00015827769,"threshold_uncertainty_score":0.81547964},"labels":[],"label_agreement":null},{"id":"W1973890894","doi":"10.1021/pr050014+","title":"Mass Spectrometric Peptide Fingerprinting of Proteins after Western Blotting on Polyvinylidene Fluoride and Enhanced Chemiluminescence Detection","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering","keywords":"Chromatography; Chemistry; Mass spectrometry; Blot; Proteome; Proteomics; Gel electrophoresis; Bottom-up proteomics; Electroblotting; Polyacrylamide gel electrophoresis; Polyvinylidene fluoride; Tandem mass spectrometry; Protein mass spectrometry; Biochemistry","score_opus":0.02394265101787009,"score_gpt":0.3356411607904723,"score_spread":0.3116985097726022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973890894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719966,0.00021515401,0.026333094,0.00031668693,0.00000849499,0.00041442536,0.000003093272,0.000023802995,0.0006886309],"genre_scores_gemma":[0.91229063,0.00015123725,0.086494826,0.000005563108,0.00042632487,0.00017270246,3.0846118e-7,0.000029602515,0.0004287827],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792016,0.000039729577,0.0006559514,0.00026361473,0.0007160142,0.00040455267],"domain_scores_gemma":[0.99832636,0.00019153685,0.0005237639,0.0003024811,0.0005198865,0.00013596541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013503359,0.00015468118,0.00029100777,0.00053156214,0.00013293335,0.00005252317,0.0003133434,0.000119945216,0.00006910484],"category_scores_gemma":[0.00059206114,0.00014138817,0.000093667695,0.0006547187,0.00011638555,0.0002319618,0.000127586,0.0010636393,0.00000576787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018124118,0.00007649255,0.0008865645,0.00019401016,0.000015961547,0.000006555577,0.00008858995,0.000015793397,0.9746532,0.000014262723,0.0000017601733,0.023865568],"study_design_scores_gemma":[0.0003372578,0.00020639143,0.0005807839,0.0005351991,0.0000076254987,0.000083049126,0.00006298593,0.00013259033,0.9971034,0.00069495273,0.00013101564,0.00012474955],"about_ca_topic_score_codex":0.000015237499,"about_ca_topic_score_gemma":0.0000044026865,"teacher_disagreement_score":0.060161736,"about_ca_system_score_codex":0.00025893378,"about_ca_system_score_gemma":0.00008100793,"threshold_uncertainty_score":0.57656425},"labels":[],"label_agreement":null},{"id":"W1974024002","doi":"10.1038/nbt0502-512","title":"Quantitative proteome analysis by solid-phase isotope tagging and mass spectrometry","year":2002,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":383,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Mass spectrometry; Chromatography; Peptide; Proteome; Tandem mass spectrometry; Isotopic labeling; Tandem mass tag; Isobaric labeling; Proteomics; Protein mass spectrometry; Quantitative proteomics; Biochemistry","score_opus":0.009084657288015448,"score_gpt":0.3198791462130797,"score_spread":0.3107944889250643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974024002","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45587456,0.011487282,0.50436276,0.018519258,0.00003971959,0.0007996179,0.0005220559,0.0020379312,0.006356791],"genre_scores_gemma":[0.80136496,0.0009161117,0.19659463,0.00020673643,0.000028078786,0.0001557066,0.00005041402,0.000027541884,0.000655839],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987687,0.000008364832,0.00023208834,0.00055307226,0.00011399557,0.00032380322],"domain_scores_gemma":[0.99915045,0.000045430308,0.00017047662,0.0005279857,0.000042826498,0.000062818326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000677062,0.00021191542,0.0003330035,0.00035078631,0.00014867142,0.000027085296,0.00030701395,0.001219711,0.0004406152],"category_scores_gemma":[0.00009616907,0.00020716197,0.00008762911,0.0011278642,0.00021274347,0.00007166481,0.000098839475,0.0012915918,0.00001380153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012982887,0.000087982706,0.000081314414,0.000018855275,0.00015968723,0.000006844896,0.000017349152,0.0000017332935,0.9804286,0.016349109,0.0008714561,0.0019641253],"study_design_scores_gemma":[0.00037215147,0.000089071254,0.000002397795,0.000009792465,0.0001140279,0.000012697081,0.00007048562,0.0045700157,0.95258796,0.0063206675,0.035590455,0.00026025163],"about_ca_topic_score_codex":0.0000054305715,"about_ca_topic_score_gemma":0.0000022608488,"teacher_disagreement_score":0.34549037,"about_ca_system_score_codex":0.00007073962,"about_ca_system_score_gemma":0.000005138934,"threshold_uncertainty_score":0.94075286},"labels":[],"label_agreement":null},{"id":"W1974218884","doi":"10.1142/9781860947575_0043","title":"COMPLEXITY AND SCORING FUNCTION OF MS/MS PEPTIDE DE NOVO SEQUENCING","year":2006,"lang":"en","type":"article","venue":"Computational Systems Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Fragment (logic); Function (biology); Tandem mass spectrometry; Computational biology; Computer science; Peptide; DNA sequencing; Algorithm; Biology; Mass spectrometry; Genetics; Chemistry; Gene; Biochemistry; Chromatography","score_opus":0.02655940615621124,"score_gpt":0.25613384115950066,"score_spread":0.22957443500328942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974218884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37488422,0.000056800298,0.6164025,0.000013485402,0.000019092231,0.00011538977,0.000045366112,0.0000868627,0.008376262],"genre_scores_gemma":[0.8051997,0.00000287496,0.19447958,0.000012961584,0.00007563309,0.00002691789,0.00011297472,0.000008698808,0.000080660495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991386,0.000005487218,0.0004772551,0.00008815753,0.00015617792,0.00013431633],"domain_scores_gemma":[0.99935544,0.000070381655,0.00029152696,0.00012268512,0.00012035647,0.00003963858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012466867,0.000102033715,0.00014863079,0.00004689047,0.00012709566,0.000038965743,0.00008018084,0.00006302352,0.000011077462],"category_scores_gemma":[0.000010994697,0.000106106876,0.00003247663,0.000090512876,0.00007775899,0.0001488283,0.000043154523,0.000091445676,0.0000039859015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003081339,0.00007112165,0.01294307,0.0029115845,0.000058638365,0.000001839852,0.0005028524,0.61070234,0.027455077,0.34257433,0.00055503077,0.0021932924],"study_design_scores_gemma":[0.0003775277,0.000021940485,0.0020676197,0.00027417828,0.000022134667,0.000080468635,0.00034959905,0.94518703,0.0063660094,0.04374633,0.0012710284,0.00023610437],"about_ca_topic_score_codex":0.00018961042,"about_ca_topic_score_gemma":0.000005741195,"teacher_disagreement_score":0.4303155,"about_ca_system_score_codex":0.00014079254,"about_ca_system_score_gemma":0.000056878907,"threshold_uncertainty_score":0.43269128},"labels":[],"label_agreement":null},{"id":"W1974240359","doi":"10.1373/clinchem.2004.032177","title":"How Are We Going to Discover New Cancer Biomarkers? A Proteomic Approach for Bladder Cancer","year":2004,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Cancer; Cancer biomarkers; Disease; Medicine; Biomarker discovery; Population; Biomarker; Bladder cancer; Monoclonal antibody; Computational biology; Identification (biology); Bioinformatics; Immunology; Proteomics; Biology; Internal medicine; Antibody; Gene; Genetics","score_opus":0.07254487712600402,"score_gpt":0.37443461333246963,"score_spread":0.30188973620646564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974240359","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003149344,0.0017878256,0.07821443,0.90669346,0.00021765458,0.002905051,0.0038179308,0.0006280787,0.002586229],"genre_scores_gemma":[0.0014723527,0.0038190226,0.2686478,0.26288015,0.054582287,0.039283246,0.0037666212,0.0011599073,0.36438864],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99577725,0.000013264866,0.0009783072,0.0019294284,0.00037373565,0.0009279852],"domain_scores_gemma":[0.9967662,0.00021729134,0.00096554554,0.0014688493,0.0001679519,0.00041414058],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00012666151,0.0008559611,0.0011074549,0.00003408346,0.00018036179,0.000234297,0.0012087971,0.0026264216,0.00045105527],"category_scores_gemma":[0.00024339887,0.0008308536,0.00082844,0.00021131277,0.00023035807,0.00011337679,0.00034250104,0.002918667,0.0000099331055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011059949,0.00011024625,0.0004210791,0.0027475457,0.0003910675,0.000016711185,0.000015237707,0.00005754793,0.01682115,0.000004852759,0.9763823,0.002921625],"study_design_scores_gemma":[0.0009942413,0.000013988692,0.0000026052483,0.0010738797,0.0002601556,0.000008655826,0.000021530042,0.00009793205,0.17018864,0.001421966,0.8248147,0.0011017588],"about_ca_topic_score_codex":0.00006409656,"about_ca_topic_score_gemma":0.000006043704,"teacher_disagreement_score":0.6438133,"about_ca_system_score_codex":0.0007072251,"about_ca_system_score_gemma":0.0010829387,"threshold_uncertainty_score":0.9994142},"labels":[],"label_agreement":null},{"id":"W1974500649","doi":"10.1074/mcp.m800540-mcp200","title":"Multiple Reaction Monitoring-based, Multiplexed, Absolute Quantitation of 45 Proteins in Human Plasma","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":511,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Chemistry; Chromatography; Trypsin; Peptide; Analyte; Selected reaction monitoring; Quantitative proteomics; Mass spectrometry; Bottom-up proteomics; Peptide mass fingerprinting; Amino acid; Coefficient of variation; Standard curve; Tandem mass spectrometry; Quantitative analysis (chemistry); Capillary electrophoresis; Proteomics; Protein mass spectrometry; Biochemistry; Enzyme","score_opus":0.014759952821491167,"score_gpt":0.2696057480718039,"score_spread":0.2548457952503127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974500649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8566333,0.00006146756,0.14155155,0.00009282205,0.000019064053,0.0010539796,0.000019575245,0.00015056155,0.00041766276],"genre_scores_gemma":[0.8004063,0.000010272696,0.19888669,0.000013695403,0.000041988176,0.0004265659,0.00011172352,0.00004473997,0.00005802304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823725,0.00003309699,0.0006161531,0.00048589634,0.00027864374,0.00034893834],"domain_scores_gemma":[0.99868876,0.000025130284,0.0003976331,0.0006782971,0.00012468641,0.000085471554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020625502,0.00028138858,0.0002999724,0.00016803142,0.00011998682,0.000028791783,0.00031612173,0.00028572624,0.000011029452],"category_scores_gemma":[0.000088077686,0.00033687506,0.0001520943,0.00027696215,0.000064096654,0.0001310262,0.00003925572,0.00043335304,0.0000060609545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007977501,0.00030281948,0.000962394,0.00008789512,0.000009035263,0.000015788359,0.000055387278,0.0035542562,0.9922189,0.0015856484,0.0000017794971,0.0011262847],"study_design_scores_gemma":[0.0011218695,0.00009506863,0.00028271787,0.00015274546,0.000015865548,0.000002529243,0.000035483037,0.011834783,0.9832146,0.002751894,0.00017200656,0.00032039938],"about_ca_topic_score_codex":0.00017704436,"about_ca_topic_score_gemma":0.000016696109,"teacher_disagreement_score":0.057335135,"about_ca_system_score_codex":0.00019518968,"about_ca_system_score_gemma":0.000060461836,"threshold_uncertainty_score":0.9999083},"labels":[],"label_agreement":null},{"id":"W1974515524","doi":"10.1002/1522-2683(20000601)21:11<2196::aid-elps2196>3.0.co;2-z","title":"A general method for the rapid characterization of tyrosine-phosphorylated proteins by mini two-dimensional gel electrophoresis","year":2000,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Gel electrophoresis; Chromatography; Electroblotting; Immunostaining; Polyacrylamide gel electrophoresis; Chemistry; Staining; Phosphorylation; Membrane; Molecular biology; Biochemistry; Nitrocellulose; Biology; Enzyme; Immunohistochemistry","score_opus":0.00610727128012805,"score_gpt":0.25606290093562784,"score_spread":0.24995562965549978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974515524","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8733598,0.0021900681,0.1196368,0.0013796679,0.000022352864,0.0018024534,0.0006816302,0.00026232158,0.0006648923],"genre_scores_gemma":[0.4501068,0.005049975,0.51295984,0.0010416475,0.00068388047,0.008526012,0.0024162612,0.000387867,0.018827718],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982163,0.000037696762,0.0004916928,0.0004929169,0.00025587986,0.00050551887],"domain_scores_gemma":[0.9987645,0.00014864629,0.00025926126,0.000574195,0.0001719423,0.00008142423],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001889538,0.0002989927,0.00033707157,0.000050114148,0.00032321003,0.00003324649,0.00041040784,0.00016872265,0.0019902866],"category_scores_gemma":[0.00003216141,0.00024215385,0.00020824105,0.00040174034,0.000085368636,0.00006845231,0.00003145725,0.00024602082,0.0000070464953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048937165,0.00012330286,0.0000070933634,0.000023403385,0.00008548453,4.629836e-7,0.00002454226,0.00005541235,0.9535737,0.000425002,0.002688788,0.042503417],"study_design_scores_gemma":[0.00055765396,0.00012850018,0.000050073162,0.000016782735,0.00008586561,0.000008817928,0.0000021194717,0.006478741,0.9503863,0.0009293794,0.04109025,0.00026553043],"about_ca_topic_score_codex":0.00013896213,"about_ca_topic_score_gemma":0.0000037377056,"teacher_disagreement_score":0.42325303,"about_ca_system_score_codex":0.00010931534,"about_ca_system_score_gemma":0.000098955825,"threshold_uncertainty_score":0.99892205},"labels":[],"label_agreement":null},{"id":"W1975019025","doi":"10.1016/j.jbiotec.2003.07.014","title":"Qualitative and quantitative proteomics by two-dimensional gel electrophoresis, peptide mass fingerprint and a chemically-coded affinity tag (CCAT)","year":2003,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Nacional de Luján; Canadian Institute for Theoretical Astrophysics","keywords":"Proteome; Chemistry; Peptide mass fingerprinting; Chromatography; Mass spectrometry; Proteomics; Fingerprint (computing); Gel electrophoresis; Peptide; Two-dimensional gel electrophoresis; Electrophoresis; Affinity electrophoresis; Reagent; Gel electrophoresis of proteins; Bottom-up proteomics; Polyacrylamide gel electrophoresis; Protein mass spectrometry; Biochemistry; Affinity chromatography; Tandem mass spectrometry; Enzyme; Computer science; Artificial intelligence","score_opus":0.014158882223648356,"score_gpt":0.31151130413149947,"score_spread":0.2973524219078511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975019025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95909405,0.0011391179,0.037393846,0.0019285132,0.0000098106075,0.00016541632,0.000045901645,0.000054280936,0.00016908138],"genre_scores_gemma":[0.57189554,0.00068036356,0.42722127,0.000073521434,0.000013177331,0.000033088174,0.0000046916994,0.000021271877,0.000057092548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987522,0.00004773057,0.0005058792,0.00028438485,0.000141486,0.00026832454],"domain_scores_gemma":[0.998749,0.00022019845,0.0005857541,0.00020628165,0.00013545866,0.00010328633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037585507,0.00020454338,0.00038064824,0.00010561163,0.00011515548,0.000021329615,0.000186633,0.00035021963,0.000029630046],"category_scores_gemma":[0.0004581557,0.00018568123,0.00006570071,0.00014890346,0.00039809782,0.0000775793,0.00007384199,0.0008801509,0.0000012893743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012339439,0.00007697264,0.000054557775,0.000024095962,0.0000560704,0.0000059879717,0.00019680943,0.000006937401,0.97959787,0.019309461,0.00029236605,0.00025545646],"study_design_scores_gemma":[0.0006859029,0.00017212747,0.000006132854,0.000042545587,0.000025681748,0.00019639586,0.00050472596,0.000089312234,0.9217823,0.07517146,0.0011363846,0.00018699504],"about_ca_topic_score_codex":0.000008831873,"about_ca_topic_score_gemma":0.0000031017985,"teacher_disagreement_score":0.38982743,"about_ca_system_score_codex":0.0001049624,"about_ca_system_score_gemma":0.00008357795,"threshold_uncertainty_score":0.75718606},"labels":[],"label_agreement":null},{"id":"W1975019878","doi":"10.1109/bibm.2013.6732483","title":"A multi-edge graph based de novo peptide sequencing method for HCD spectra","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peptide; Graph; Computer science; Tandem mass spectrometry; Spectral line; Mass spectrum; Computational biology; Chemistry; Mass spectrometry; Biology; Physics; Theoretical computer science; Biochemistry; Chromatography","score_opus":0.03132669536954536,"score_gpt":0.3270932302932096,"score_spread":0.2957665349236642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975019878","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021688722,0.000011311772,0.97012305,0.00037007115,0.0000049364894,0.0004347439,0.000023832996,0.0003587602,0.006984543],"genre_scores_gemma":[0.04217467,0.0000044310723,0.9526653,0.00042765326,0.000053181586,0.0016133566,0.000020478821,0.000032679665,0.0030082378],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992085,0.0000060569655,0.00018242808,0.00026358213,0.00005357189,0.00028587473],"domain_scores_gemma":[0.99929386,0.00012870874,0.00006575666,0.00034457524,0.00007423953,0.00009285254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011512488,0.00013173398,0.000128126,0.00003311202,0.00010313848,0.00003274712,0.00018943379,0.00009546072,0.00081858167],"category_scores_gemma":[0.000042224838,0.00012351821,0.00011274409,0.000083333056,0.000024411529,0.00007459961,0.000024305662,0.00013290734,0.000021585243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035051846,0.000030054682,0.000090233756,0.00004465123,0.0000073151086,4.777759e-7,0.000027848615,0.00010589393,0.99425954,0.0034541572,0.0004718668,0.0015044651],"study_design_scores_gemma":[0.0003458519,0.000008810662,0.000012044865,0.00001548708,0.000010949475,0.000005735281,0.00008444444,0.06333318,0.9097125,0.02376556,0.0025320242,0.00017343565],"about_ca_topic_score_codex":0.00027107127,"about_ca_topic_score_gemma":0.000026897924,"teacher_disagreement_score":0.08454706,"about_ca_system_score_codex":0.00012891286,"about_ca_system_score_gemma":0.00006183577,"threshold_uncertainty_score":0.8962895},"labels":[],"label_agreement":null},{"id":"W1975721281","doi":"10.1038/nmeth0910-681","title":"Mass spectrometry in high-throughput proteomics: ready for the big time","year":2010,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":486,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Mass spectrometry; Proteomics; Proteome; Computational biology; Throughput; Computer science; Chemistry; Data science; Biology; Chromatography; Bioinformatics; Biochemistry; Gene","score_opus":0.017976687500836516,"score_gpt":0.3789911240259536,"score_spread":0.36101443652511706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975721281","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012984968,0.00028830505,0.9761545,0.001991088,0.00022150436,0.0009432669,0.000101421596,0.00021458922,0.0071003297],"genre_scores_gemma":[0.012675747,0.000038592512,0.9832661,0.00021365563,0.00063208543,0.0010309357,0.00003782033,0.000047293623,0.0020577707],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989518,0.00003063907,0.0002436121,0.00037564785,0.00010786408,0.00029046898],"domain_scores_gemma":[0.998236,0.0007118757,0.00013376586,0.0008015056,0.000071974406,0.000044901066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091375125,0.0001789596,0.00022259966,0.00006108494,0.00012567644,0.000034708297,0.0005118666,0.0006318166,0.00018326665],"category_scores_gemma":[0.00048318834,0.00013087291,0.000085079686,0.00028426637,0.000077486584,0.0000482157,0.000068821195,0.0019408808,0.000009423387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002644652,0.000027475628,0.000046557983,0.000022010256,0.000012296638,5.301176e-7,0.000015052659,0.0000037952434,0.94515413,0.02915928,0.00036185962,0.025170537],"study_design_scores_gemma":[0.00024673634,0.000011037136,0.000040647952,0.00000848784,0.00001495426,0.000005257637,0.000009097501,0.000601897,0.7765502,0.14787216,0.074486636,0.00015293328],"about_ca_topic_score_codex":0.00002038594,"about_ca_topic_score_gemma":0.000010413179,"teacher_disagreement_score":0.16860402,"about_ca_system_score_codex":0.000059958213,"about_ca_system_score_gemma":0.000047232832,"threshold_uncertainty_score":0.8432269},"labels":[],"label_agreement":null},{"id":"W1976200636","doi":"10.1039/b717542f","title":"Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT)","year":2008,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Biology; Ovarian cancer; KEGG; Proteome; Western blot; Cell biology; Cell; Phenotype; Cancer cell; Metastasis; Cell adhesion; Extracellular matrix; Cell culture; Cancer research; Cancer; Gene expression; Gene; Transcriptome; Genetics","score_opus":0.013484925311642646,"score_gpt":0.2447419079938707,"score_spread":0.23125698268222805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976200636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610347,0.00017841574,0.037236948,0.00004216754,0.00002227643,0.0009036787,0.0004055726,0.00015688715,0.000019357372],"genre_scores_gemma":[0.9941725,0.000017200404,0.0042045913,0.000007039457,0.00001269074,0.001209721,0.00018580805,0.000048179067,0.00014224277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845594,0.000029570192,0.00057582813,0.00043574086,0.00028994778,0.00021299078],"domain_scores_gemma":[0.9982564,0.000014276476,0.000795264,0.00052703934,0.0003545026,0.000052537034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117124444,0.00019430499,0.00024216558,0.00011069329,0.00018791364,0.0000138609485,0.00022577698,0.00027017723,0.000019722964],"category_scores_gemma":[0.00003980056,0.00019709283,0.000061591345,0.00040864098,0.0001476574,0.000074431555,0.00005065766,0.0001664596,0.000003855628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009062301,0.00017251345,0.0006631508,0.000053905365,0.000039289273,0.000014656935,0.00004574336,0.000077895085,0.99839175,0.0004458918,0.000016800028,0.00006934861],"study_design_scores_gemma":[0.0003385881,0.000017079612,0.000060015762,0.0001872276,0.000050407496,0.000023526041,0.000062157415,0.00066269626,0.9982495,0.00008888547,0.000040460265,0.00021948043],"about_ca_topic_score_codex":0.00015173026,"about_ca_topic_score_gemma":0.000012403127,"teacher_disagreement_score":0.03313783,"about_ca_system_score_codex":0.00020024733,"about_ca_system_score_gemma":0.00012972545,"threshold_uncertainty_score":0.80372125},"labels":[],"label_agreement":null},{"id":"W1976702855","doi":"10.1158/1538-7445.am2011-5097","title":"Abstract 5097: Proteomic characterization of non-small cell lung cancer (NSCLC): Discovery and validation of NSCLC protein signatures and signaling networks","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Hospital for Sick Children","funders":"","keywords":"Lung cancer; Immunohistochemistry; Adenocarcinoma; Proteomics; Cancer research; Proteome; Cancer; Epidermal growth factor receptor; Pathology; Medicine; Biology; Internal medicine; Bioinformatics; Gene","score_opus":0.031201783263340575,"score_gpt":0.3276986443240366,"score_spread":0.29649686106069606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976702855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835355,0.0005983426,0.014200839,0.000028625916,0.000010495481,0.0011234618,0.000106742315,0.000022798891,0.00037314053],"genre_scores_gemma":[0.9943758,0.0010347383,0.002629583,0.000004655646,0.00009625077,0.0015755636,0.00003751195,0.000035524463,0.0002103706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884564,0.000025271613,0.0003151808,0.00034063487,0.0002052526,0.00026803004],"domain_scores_gemma":[0.99914515,0.00003789475,0.000258362,0.0002538286,0.00023496359,0.000069825735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031078685,0.00014099867,0.00020490473,0.00009039556,0.00011381603,0.00003490199,0.00018599186,0.00016928202,0.00012703137],"category_scores_gemma":[0.000012968265,0.00013581588,0.000032971766,0.00018422729,0.00017560303,0.0002241344,0.00011874699,0.00042156735,1.6340503e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000141778,0.000049041773,0.0026184293,0.00085848995,0.000017473116,6.912691e-7,0.00027531845,0.00009654697,0.99327934,0.000109397406,0.000006100452,0.0025474108],"study_design_scores_gemma":[0.00027619617,0.000025938361,0.0024908734,0.00071837817,0.000014135851,3.22344e-7,0.000044714645,0.00097137416,0.99501765,0.00028980125,0.000014486239,0.00013615424],"about_ca_topic_score_codex":0.00061084575,"about_ca_topic_score_gemma":0.000008315598,"teacher_disagreement_score":0.011571256,"about_ca_system_score_codex":0.00007299665,"about_ca_system_score_gemma":0.0001503635,"threshold_uncertainty_score":0.55384105},"labels":[],"label_agreement":null},{"id":"W1976949279","doi":"10.1002/jms.1297","title":"Systematic determination of ion score cutoffs based on calculated false positive rates: application for identifying ubiquitinated proteins by tandem mass spectrometry","year":2007,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Cutoff; Mass spectrometry; Tandem mass spectrometry; Ubiquitin; False positive rate; Chromatography; Tandem; Ion trap; Analytical Chemistry (journal); Ion; Selected reaction monitoring; Statistics; Biochemistry","score_opus":0.013672491778124045,"score_gpt":0.30354548028069717,"score_spread":0.28987298850257315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976949279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17383246,0.00018518926,0.82414675,0.00010455963,0.000042489224,0.0011530669,0.000070290094,0.000062343745,0.0004028481],"genre_scores_gemma":[0.8326121,0.000026064221,0.1668474,0.000032549284,0.00014033777,0.00012254812,0.000074300246,0.000057271878,0.00008745633],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99710923,0.000050015275,0.0014733433,0.00034232545,0.0006280187,0.0003970709],"domain_scores_gemma":[0.9957867,0.0004402534,0.002544052,0.00040487477,0.0006785485,0.00014553807],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014114012,0.0003079515,0.00069222384,0.0007032463,0.00015177076,0.000054168475,0.0004017577,0.00027763986,0.00004620667],"category_scores_gemma":[0.0003932669,0.0002893745,0.0003173207,0.00093326264,0.00006122778,0.00021590496,0.000021778123,0.0004961157,0.000002343109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021214968,0.00025116064,0.00033126856,0.0026930799,0.00007035059,0.000009515495,0.000031136227,0.00003430788,0.995307,0.00080296525,0.000024371384,0.0002326656],"study_design_scores_gemma":[0.0010983476,0.00037983127,0.00017884055,0.0028674698,0.00013375876,0.000039450275,0.00020042396,0.005572541,0.98322004,0.006030544,0.000011256726,0.0002674702],"about_ca_topic_score_codex":0.0000059668805,"about_ca_topic_score_gemma":0.0000014190509,"teacher_disagreement_score":0.6587796,"about_ca_system_score_codex":0.00082736317,"about_ca_system_score_gemma":0.00008230392,"threshold_uncertainty_score":0.99995583},"labels":[],"label_agreement":null},{"id":"W1977184198","doi":"10.1002/pmic.200500358","title":"Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly‐available database","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":792,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"U.S. Public Health Service; National Cancer Institute; National Institutes of Health; Michigan Economic Development Corporation; Pfizer; Bristol-Myers Squibb; Abbott Laboratories","keywords":"Proteome; Computational biology; Computer science; Bioinformatics; Database; Chemistry; Biology","score_opus":0.07155267813634265,"score_gpt":0.31961976769463507,"score_spread":0.24806708955829243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977184198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582281,0.00038074062,0.003147352,0.00056694035,0.0000059782597,0.003386802,0.034165166,0.00005719258,0.000061737854],"genre_scores_gemma":[0.5263238,0.00025177808,0.46989745,0.00010596332,0.0001540155,0.0012067468,0.0019611453,0.00005512856,0.000043974094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805766,0.00005066096,0.00072935125,0.0005839117,0.00029566285,0.00028273303],"domain_scores_gemma":[0.9975559,0.00023814166,0.0007831631,0.0010787192,0.00026267284,0.00008140187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047571198,0.00028631007,0.0003744146,0.00003073061,0.0003630168,0.000115126844,0.00043569665,0.00009787309,0.00001633449],"category_scores_gemma":[0.0007899033,0.00017918128,0.000025763462,0.00060368696,0.00042934794,0.00036719633,0.00045724458,0.00040016355,5.551607e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013189301,0.00055987,0.005359978,0.00053469033,0.000107697,0.000002240982,0.00073583744,0.00009452761,0.9861835,0.0025971741,0.001461726,0.0010438205],"study_design_scores_gemma":[0.0043939226,0.00026392716,0.000030100386,0.0005628875,0.00009728256,0.000015462148,0.00048315892,0.066561416,0.91935295,0.00022765236,0.0076395525,0.00037167993],"about_ca_topic_score_codex":0.0007788316,"about_ca_topic_score_gemma":0.0007968259,"teacher_disagreement_score":0.4667501,"about_ca_system_score_codex":0.000048040416,"about_ca_system_score_gemma":0.00033510622,"threshold_uncertainty_score":0.73068005},"labels":[],"label_agreement":null},{"id":"W1977829171","doi":"10.1016/j.jprot.2012.10.006","title":"Analysis of human serum phosphopeptidome by a focused database searching strategy","year":2012,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Database; Computational biology; Biology","score_opus":0.02649922215817007,"score_gpt":0.326261848461478,"score_spread":0.2997626263033079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977829171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145595,0.0002415212,0.084040456,0.00006269376,0.000010947024,0.00013805952,0.0002478433,0.000019083123,0.0006799331],"genre_scores_gemma":[0.8961617,0.00008993953,0.1033654,0.00001884347,0.000108115935,0.000018809838,0.00003589662,0.00002417454,0.00017715924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863845,0.000021645641,0.00066926307,0.00012119712,0.00026934632,0.0002800746],"domain_scores_gemma":[0.99835,0.00004443967,0.0008954538,0.00037116776,0.00016040202,0.00017850491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005622099,0.00014354693,0.0004069953,0.00017471965,0.00009776475,0.000026547543,0.00037980653,0.00009383142,0.00029918403],"category_scores_gemma":[0.000042431293,0.00013037732,0.00024519328,0.00039029017,0.000061479244,0.00035849644,0.000088402754,0.0004780061,0.0000015725907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003965053,0.0002073832,0.008468025,0.000047481153,0.00035964986,0.0000014478194,0.00012359142,0.00015301527,0.988397,0.0008658921,0.00021391231,0.0011229675],"study_design_scores_gemma":[0.00044117463,0.000060434973,0.00027986456,0.00005424035,0.00040851557,0.000011188218,0.0001302725,0.0004548693,0.9965406,0.0008489527,0.0006056145,0.00016425319],"about_ca_topic_score_codex":0.00003515267,"about_ca_topic_score_gemma":0.000003546089,"teacher_disagreement_score":0.01932494,"about_ca_system_score_codex":0.000097730626,"about_ca_system_score_gemma":0.00005740239,"threshold_uncertainty_score":0.5316633},"labels":[],"label_agreement":null},{"id":"W1977868831","doi":"10.1021/pr070706t","title":"Ringing in 2007 | Solid statistics will promote development of proteomics","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; School of Medicine, Vanderbilt University; Rijksuniversiteit Groningen; McGill University; University of Ottawa; National Cancer Institute; Carnegie Mellon University; Université de Genève; Yale University; Vanderbilt University; Purdue University; North Carolina State University; Bristol-Myers Squibb; AstraZeneca; Johns Hopkins University; Pfizer","keywords":"Ringing; Proteomics; Data science; Computer science; Statistics; Biology; Mathematics; Telecommunications; Biochemistry","score_opus":0.051950156914117425,"score_gpt":0.419839661104508,"score_spread":0.36788950419039057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977868831","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52461654,0.00010619673,0.47364852,0.0000753167,0.000015342086,0.0005772785,0.000011311692,0.000012554644,0.0009369119],"genre_scores_gemma":[0.25884515,0.000056602123,0.7405941,0.0000028479378,0.0001191804,0.000058750924,0.0000025809554,0.000028179164,0.0002926441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971397,0.000031372063,0.0012097085,0.00018614015,0.0008540368,0.00057907804],"domain_scores_gemma":[0.99798197,0.00014822755,0.0005528851,0.00026530592,0.0008841739,0.00016743246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050635836,0.00013664766,0.0003180349,0.0005062274,0.00012500478,0.000026562522,0.0004946227,0.00014161161,0.00012088232],"category_scores_gemma":[0.0004459763,0.00012650527,0.00005315803,0.00048354277,0.00012913354,0.00017640823,0.0001721463,0.0012364154,0.0000047723042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018855275,0.000255375,0.0013541441,0.0003703737,0.000024736728,0.000055290428,0.00054945576,0.00005265399,0.98230267,0.00076558447,0.00007027625,0.01401087],"study_design_scores_gemma":[0.00048491897,0.00009026577,0.00032667222,0.00047950348,0.0000032531243,0.00004576472,0.00021098563,0.00021362751,0.9847281,0.009224996,0.0040542157,0.00013771813],"about_ca_topic_score_codex":0.000009781407,"about_ca_topic_score_gemma":0.000010689448,"teacher_disagreement_score":0.26694557,"about_ca_system_score_codex":0.0004650957,"about_ca_system_score_gemma":0.0005761724,"threshold_uncertainty_score":0.53716785},"labels":[],"label_agreement":null},{"id":"W1978356202","doi":"10.1007/s00216-014-8323-5","title":"An enzyme-linked immuno-mass spectrometric assay with the substrate adenosine monophosphate","year":2014,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; University Health Network; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Substrate (aquarium); Chemistry; Enzyme; Adenosine; Adenosine monophosphate; Chromatography; Biochemistry; Biology","score_opus":0.007987137609795013,"score_gpt":0.2411835053914056,"score_spread":0.23319636778161057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978356202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8936298,0.0006513701,0.05728923,0.007264444,0.0000116911415,0.00024721495,0.000060855928,0.00048005936,0.040365346],"genre_scores_gemma":[0.9936568,0.00013665517,0.0035738512,0.00021554028,0.00022809849,0.000041289757,0.000057617286,0.000036031815,0.002054113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981031,0.000020615715,0.00036739124,0.0006551982,0.00033083424,0.0005228576],"domain_scores_gemma":[0.9983043,0.00027545745,0.0001259014,0.0007986912,0.0001168249,0.00037879453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032695956,0.00035203615,0.0003902509,0.000035069505,0.00025161347,0.00017015827,0.00050390663,0.00024060805,0.0006815301],"category_scores_gemma":[0.000087304106,0.0002186376,0.00011924933,0.00059888733,0.0005892604,0.0001074632,0.0000717645,0.00063060893,0.000017900595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004499579,0.0008287643,0.007602853,0.00037527955,0.00056725735,0.000050924755,0.00003778549,0.00011463315,0.937964,0.042410545,0.0006956305,0.008902358],"study_design_scores_gemma":[0.00093297946,0.00016948448,0.0006224787,0.000055989505,0.000506161,0.00006870354,0.00013855712,0.08567968,0.8900721,0.010336305,0.010493898,0.00092365127],"about_ca_topic_score_codex":0.000023299432,"about_ca_topic_score_gemma":0.0000022414786,"teacher_disagreement_score":0.10002702,"about_ca_system_score_codex":0.000054038464,"about_ca_system_score_gemma":0.00003687296,"threshold_uncertainty_score":0.8915782},"labels":[],"label_agreement":null},{"id":"W1978637017","doi":"10.1016/j.copbio.2006.06.008","title":"Mapping protein–protein interactions by mass spectrometry","year":2006,"lang":"en","type":"review","venue":"Current Opinion in Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mass spectrometry; Computational biology; Chemistry; Biology; Chromatography","score_opus":0.052284207888445046,"score_gpt":0.3748377537597412,"score_spread":0.32255354587129614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978637017","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000067457568,0.905054,0.09095523,0.0002468579,0.00039858406,0.0014095816,0.0003943097,0.000766937,0.0007677734],"genre_scores_gemma":[0.000009243964,0.97259325,0.02011628,0.0000017258944,0.00034380078,0.004736395,0.0014762181,0.000108032946,0.0006150725],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969972,0.00003823022,0.0011601186,0.0010286974,0.00016751535,0.0006082315],"domain_scores_gemma":[0.9979491,0.000048607275,0.0008100321,0.0010908919,0.000035332392,0.000065984976],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00011576161,0.00065638527,0.0012491159,0.0008828078,0.00012682713,0.000042692565,0.00095594866,0.0013235345,0.00022700692],"category_scores_gemma":[0.00005706436,0.0006728384,0.000351681,0.0012570302,0.00020475106,0.0000857004,0.00030652637,0.0028840948,0.00010800165],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022254778,0.00025305233,0.000002025551,0.01604544,0.000033936132,0.0000010122443,0.000003058734,2.3719853e-7,0.01636868,0.010688712,0.004000694,0.9526009],"study_design_scores_gemma":[0.00013226864,0.000012981269,3.6067025e-8,0.016057769,0.000015753621,0.000021024136,0.000008805845,0.000008704336,0.0077285003,0.0061356514,0.9692824,0.0005961424],"about_ca_topic_score_codex":0.000019396917,"about_ca_topic_score_gemma":0.0000010387353,"teacher_disagreement_score":0.96528167,"about_ca_system_score_codex":0.00070085557,"about_ca_system_score_gemma":0.00011325618,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W1979340580","doi":"10.1038/nmeth.2650","title":"TCPA: a resource for cancer functional proteomics data","year":2013,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":538,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Canada's Michael Smith Genome Sciences Centre; University of Miami; Susan G. Komen for the Cure","keywords":"Proteomics; Computational biology; Resource (disambiguation); Biology; Computer science; Bioinformatics; Genetics; Gene","score_opus":0.07253778142216777,"score_gpt":0.42631315868050057,"score_spread":0.3537753772583328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979340580","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000003726054,0.0021609892,0.69137985,0.29761684,0.00023016117,0.001210084,0.0033945334,0.00029468967,0.003709093],"genre_scores_gemma":[3.5089815e-7,0.00010194825,0.75538427,0.19864102,0.0080323955,0.0055437502,0.007418703,0.00013946836,0.024738127],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771994,0.00006257481,0.00038046305,0.0011252217,0.0002640266,0.00044774747],"domain_scores_gemma":[0.99629873,0.00061717036,0.0004156706,0.0023536857,0.00025358808,0.0000611653],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00048094266,0.00043815805,0.00047760535,0.000072799514,0.00019695384,0.00007678077,0.0014510781,0.0037560207,0.00086891034],"category_scores_gemma":[0.00040881307,0.00040110428,0.0001717436,0.00014076513,0.000084729465,0.00011034258,0.00048560082,0.0061945724,0.000007968683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001815255,0.000012020892,0.0000019571453,0.00035736477,0.00007883001,0.0000014962092,0.0000049254677,0.0000040687555,0.013851102,0.000291294,0.9600409,0.025337877],"study_design_scores_gemma":[0.00017872933,0.000006057358,6.1749716e-7,0.00009025944,0.00011395619,0.000009994615,0.000003052162,0.00066649914,0.04926479,0.012352481,0.93687856,0.00043497994],"about_ca_topic_score_codex":0.00003106676,"about_ca_topic_score_gemma":0.0000022630404,"teacher_disagreement_score":0.09897584,"about_ca_system_score_codex":0.00018987541,"about_ca_system_score_gemma":0.00017764322,"threshold_uncertainty_score":0.9998441},"labels":[],"label_agreement":null},{"id":"W1979735961","doi":"10.5664/jcsm.1354","title":"Potential of Proteomics as a Bioanalytic Technique for Quantifying Sleepiness","year":2011,"lang":"en","type":"review","venue":"Journal of Clinical Sleep Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sleep & Circadian Network","funders":"National Heart, Lung, and Blood Institute; University of Pennsylvania","keywords":"Medicine; Data science; Computer science","score_opus":0.17837308356555298,"score_gpt":0.4887800456703056,"score_spread":0.3104069621047526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979735961","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016127164,0.6578184,0.33999637,0.00013323694,0.00023418205,0.0012344433,0.000045234367,0.000026537262,0.0004955244],"genre_scores_gemma":[0.00011818597,0.87540203,0.121908,0.000036628608,0.001961667,0.00031670817,0.000033006967,0.00009084793,0.00013292872],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99293953,0.00008563482,0.0058939797,0.00040151755,0.00037008413,0.0003092684],"domain_scores_gemma":[0.9887985,0.0009908946,0.0084334165,0.0006859442,0.0007987824,0.00029243605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028938502,0.00047058324,0.0045916354,0.00027244765,0.00006588925,0.000008181474,0.0010934094,0.0009832692,0.0003400063],"category_scores_gemma":[0.002986886,0.0003169366,0.0018852297,0.00031332768,0.00041313583,0.00008340734,0.00012847518,0.0016354681,0.0000037312807],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002761917,0.00043257858,0.0000108218255,0.021054478,0.0008199215,0.000028637769,0.0000125653905,0.0000018783288,0.00094445684,0.0019403193,0.00037584588,0.9741023],"study_design_scores_gemma":[0.0015963952,0.0010642799,0.0000012998156,0.041134033,0.005495557,0.0006468589,0.000023384917,0.000042334177,0.002245366,0.010715844,0.936532,0.0005026141],"about_ca_topic_score_codex":0.000015892832,"about_ca_topic_score_gemma":7.6719283e-7,"teacher_disagreement_score":0.9735997,"about_ca_system_score_codex":0.000075257434,"about_ca_system_score_gemma":0.00042152603,"threshold_uncertainty_score":0.9999283},"labels":[],"label_agreement":null},{"id":"W1979821811","doi":"10.1021/ac001169y","title":"Quantitative Proteomic Analysis Using a MALDI Quadrupole Time-of-Flight Mass Spectrometer","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Cancer Institute; University of Manitoba; University of Washington","keywords":"Chemistry; Chromatography; Mass spectrometry; Elution; Sample preparation; Matrix-assisted laser desorption/ionization; Tandem mass spectrometry; Quantitative proteomics; Reagent; Tandem mass tag; Quantitative analysis (chemistry); Analytical Chemistry (journal); Proteomics; Biochemistry","score_opus":0.021966599483609885,"score_gpt":0.3119814103249953,"score_spread":0.2900148108413854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979821811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89901125,0.00004669335,0.07615687,0.00010487351,0.0000024469168,0.00009635353,0.00005126143,0.000102634716,0.02442762],"genre_scores_gemma":[0.876814,0.000035145793,0.117834866,0.000026109348,0.000078352736,0.00004950137,0.0000773188,0.0000363991,0.00504829],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984344,0.000008906775,0.00047880638,0.00047475167,0.00023770453,0.00036539964],"domain_scores_gemma":[0.9987991,0.00007628725,0.00022995079,0.00062916154,0.00011310056,0.00015239029],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010833146,0.00024069418,0.00048039958,0.00007769525,0.00008335506,0.000028119191,0.0003334378,0.00019269728,0.0045065396],"category_scores_gemma":[0.00006648025,0.00023883667,0.0003693637,0.00089900056,0.00017900404,0.00007983253,0.00007629256,0.00028903465,0.00003874364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055602766,0.00009682808,0.0031434458,0.00006433741,0.0004136223,0.000012289885,0.000020229025,0.0002036611,0.99531686,0.0005943551,0.00003629436,0.000042454303],"study_design_scores_gemma":[0.00017229457,0.000013448247,0.000021101123,0.000029176432,0.0006004689,0.000013352746,0.00005591493,0.08420428,0.9111659,0.0030996958,0.0003309164,0.00029348055],"about_ca_topic_score_codex":0.000028337274,"about_ca_topic_score_gemma":5.766461e-7,"teacher_disagreement_score":0.08415101,"about_ca_system_score_codex":0.0001336462,"about_ca_system_score_gemma":0.000052057403,"threshold_uncertainty_score":0.99640346},"labels":[],"label_agreement":null},{"id":"W1979996176","doi":"10.1126/scisignal.254pl1","title":"Genome to Kinome: Species-Specific Peptide Arrays for Kinome Analysis","year":2009,"lang":"en","type":"article","venue":"Science Signaling","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Kinome; Phosphorylation; Computational biology; Biology; Peptide; Cell biology; Biochemistry","score_opus":0.02617490119145921,"score_gpt":0.29262494591047167,"score_spread":0.26645004471901246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979996176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3311819,0.00007220029,0.6607703,0.0006734222,0.000021644093,0.00030282774,0.000052038024,0.00018522976,0.006740451],"genre_scores_gemma":[0.7907649,0.000011038042,0.20783316,0.00022183753,0.00018810082,0.00008720596,0.000018823706,0.000010236196,0.000864696],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981976,0.0000029563498,0.00030170847,0.00066759164,0.00030953158,0.0005205726],"domain_scores_gemma":[0.9988595,0.000053021235,0.00011796329,0.00058466924,0.00017044117,0.00021440203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041856433,0.00016285674,0.0002278083,0.0003127475,0.0005307064,0.00016181596,0.0007865987,0.000048992806,0.0003628004],"category_scores_gemma":[0.000051513893,0.0001653159,0.00017245865,0.0020918234,0.00014750437,0.00025420933,0.000059196802,0.00012506878,0.00002360323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071180307,0.000021581434,0.00009700556,0.0000037898149,0.000008396527,6.009078e-7,0.000100008925,0.0054969233,0.98417175,0.009316706,0.000017464392,0.00075864274],"study_design_scores_gemma":[0.00011987109,0.000042144446,0.0010794093,0.000014130145,0.00004704125,0.00000182118,0.00017034811,0.00081899436,0.9452291,0.012138202,0.03996518,0.00037377374],"about_ca_topic_score_codex":0.000003264065,"about_ca_topic_score_gemma":7.609919e-7,"teacher_disagreement_score":0.45958298,"about_ca_system_score_codex":0.00020952661,"about_ca_system_score_gemma":0.00007099552,"threshold_uncertainty_score":0.67413867},"labels":[],"label_agreement":null},{"id":"W1980136706","doi":"10.1371/journal.pcbi.1002963","title":"Computational Biomarker Pipeline from Discovery to Clinical Implementation: Plasma Proteomic Biomarkers for Cardiac Transplantation","year":2013,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; Institute of Infection and Immunity; University of Victoria; Prevention of Organ Failure; University of British Columbia","funders":"Novartis Pharma; Astellas Pharma; Genome British Columbia; St. Paul's Foundation; University of Victoria; Genome Canada","keywords":"Biomarker discovery; Biomarker; Multiplex; Proteomics; Computational biology; Transplantation; Proteome; Quantitative proteomics; Bioinformatics; Computer science; Medicine; Biology; Internal medicine","score_opus":0.03375821834990445,"score_gpt":0.3506546587721947,"score_spread":0.31689644042229026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980136706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.507087,0.000015123633,0.4871713,0.001406202,0.000084544685,0.001166384,0.0028132715,0.00012279874,0.0001333533],"genre_scores_gemma":[0.63962376,0.000015533431,0.34398592,0.00038033086,0.00027848454,0.002447864,0.013177011,0.000033909888,0.000057152873],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99800617,0.000060404735,0.00081757805,0.0006512555,0.00015905027,0.00030555675],"domain_scores_gemma":[0.99816996,0.0009419399,0.00024752688,0.00019824563,0.0002971375,0.00014517599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014484378,0.00024923723,0.00034164634,0.00009971233,0.00019139143,0.000072357536,0.00024768105,0.00018531716,0.00050623465],"category_scores_gemma":[0.000045129724,0.00024913883,0.00019351456,0.00014969613,0.000118253156,0.00022186326,0.00005682927,0.00013356692,0.000114024675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021662903,0.0016374085,0.14915876,0.00044247403,0.0027198754,0.000004975067,0.0006934041,0.031611383,0.5133485,0.048252292,0.03217627,0.21778834],"study_design_scores_gemma":[0.0072057773,0.00038734233,0.049902223,0.00014404055,0.00037432087,0.000015265381,0.0003786619,0.36058602,0.09366966,0.47574368,0.009611683,0.0019813264],"about_ca_topic_score_codex":0.00011833362,"about_ca_topic_score_gemma":0.000006523344,"teacher_disagreement_score":0.4274914,"about_ca_system_score_codex":0.000090554924,"about_ca_system_score_gemma":0.000118265045,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W1980642060","doi":"10.1021/ac901637v","title":"Use of a Combination of Isotopically Coded Cross-Linkers and Isotopically Coded N-Terminal Modification Reagents for Selective Identification of Inter-peptide Crosslinks","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Genome British Columbia; Genome Canada","keywords":"Chemistry; Peptide; Lysine; Mass spectrometry; Combinatorial chemistry; Bottom-up proteomics; Posttranslational modification; Reagent; Peptide sequence; Amino acid; Biochemistry; Tandem mass spectrometry; Protein mass spectrometry; Chromatography; Enzyme; Organic chemistry","score_opus":0.026913420346954972,"score_gpt":0.3340195870164831,"score_spread":0.3071061666695281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980642060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945033,0.000004714248,0.053634837,0.000090581925,0.000010284957,0.00029299906,0.00019721888,0.0000324086,0.0007039164],"genre_scores_gemma":[0.9838513,0.000015071075,0.014803493,0.00001164109,0.000029496581,0.00012816204,0.00017042388,0.000018642604,0.00097172725],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983682,0.0000069016833,0.0008904239,0.0003702351,0.00019475637,0.00016947062],"domain_scores_gemma":[0.99783254,0.00021894932,0.0006395799,0.00048165,0.00073887524,0.00008840443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018435247,0.00015805625,0.0003235871,0.00003341143,0.000061317834,0.00003750947,0.0002728088,0.00032517515,0.000044616525],"category_scores_gemma":[0.0006335135,0.0001689272,0.00013234225,0.00013192998,0.00047650016,0.0001343275,0.000117511816,0.0002966597,4.1977245e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016873758,0.00027151668,0.007939039,0.0005228046,0.00004470331,2.7026692e-7,0.00004270917,0.000009733333,0.98496276,0.0043870537,0.000047587684,0.0016030619],"study_design_scores_gemma":[0.00054707145,0.0000331565,0.0029808516,0.00005557853,0.00007380238,0.0000051064912,0.000016662325,0.019196533,0.96852267,0.008300634,0.00012823034,0.00013968097],"about_ca_topic_score_codex":0.000023624265,"about_ca_topic_score_gemma":0.0000037639772,"teacher_disagreement_score":0.038831346,"about_ca_system_score_codex":0.00004232973,"about_ca_system_score_gemma":0.000065360946,"threshold_uncertainty_score":0.6888651},"labels":[],"label_agreement":null},{"id":"W1981187883","doi":"10.1016/j.ymeth.2015.04.001","title":"Precise quantitation of 136 urinary proteins by LC/MRM-MS using stable isotope labeled peptides as internal standards for biomarker discovery and/or verification studies","year":2015,"lang":"en","type":"article","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Quantitative proteomics; Biomarker discovery; Analyte; Selected reaction monitoring; Chromatography; Biomarker; Proteomics; Chemistry; Mass spectrometry; Computational biology; Urine; Tandem mass spectrometry; Biology; Biochemistry","score_opus":0.14413965273346674,"score_gpt":0.4818465595762351,"score_spread":0.3377069068427684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981187883","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36546898,0.0011570988,0.63232875,0.000053187865,0.00002176392,0.00049067795,0.00022725893,0.000041879004,0.00021038536],"genre_scores_gemma":[0.11152081,0.00028510232,0.8860153,0.000008592457,0.00003056873,0.00063241675,0.00004150157,0.000030511581,0.0014351896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989858,0.00007168109,0.0003450143,0.00028015254,0.00016448062,0.0001528286],"domain_scores_gemma":[0.9988112,0.00021335814,0.00027705598,0.00026938258,0.00037562437,0.000053394986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010491019,0.00014525912,0.00026213203,0.000044941728,0.00009714675,0.00004095324,0.00012737814,0.000079822756,0.0000133868925],"category_scores_gemma":[0.0007508342,0.00012319909,0.00004712273,0.000118921016,0.000107172666,0.00032120128,0.00009059181,0.000079525766,2.424596e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067245093,0.000120169534,0.00022170019,0.00035753485,0.000069455375,3.6863204e-7,0.00041169729,0.000019248095,0.9809054,0.0010753988,0.00042554934,0.015721014],"study_design_scores_gemma":[0.00057685294,0.00019799358,0.000016489064,0.00019079524,0.000051730247,0.0000059625017,0.000830708,0.002842615,0.96868676,0.011264327,0.015164287,0.00017147062],"about_ca_topic_score_codex":0.00008351914,"about_ca_topic_score_gemma":0.0000045483157,"teacher_disagreement_score":0.25394818,"about_ca_system_score_codex":0.00016594592,"about_ca_system_score_gemma":0.00012640882,"threshold_uncertainty_score":0.50239134},"labels":[],"label_agreement":null},{"id":"W1981208872","doi":"10.1002/pmic.201400188","title":"Whole cell, label free protein quantitation with data independent acquisition: Quantitation at the MS2 level","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Manitoba; Research Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Label-free quantification; Quantitative proteomics; Replicate; Peptide; Chromatography; Chemistry; Mass spectrometry; Quantitative analysis (chemistry); Computational biology; Proteomics; Biology; Biochemistry","score_opus":0.050146028280169196,"score_gpt":0.2926556869588405,"score_spread":0.24250965867867127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981208872","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3713423,0.000082058534,0.6216328,0.002211281,0.000019929108,0.0012728964,0.00053291174,0.00020858778,0.0026972117],"genre_scores_gemma":[0.49536076,0.000024928348,0.4985077,0.00018824656,0.00018221953,0.0014281537,0.0013267355,0.00007538097,0.0029058445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984584,0.000037746115,0.00032683834,0.00055630814,0.0003482337,0.00027251575],"domain_scores_gemma":[0.9973954,0.00007142739,0.0003433873,0.001966071,0.00015529228,0.00006844586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041691712,0.00022597302,0.00016907844,0.00003586174,0.00046489818,0.000112285736,0.0010263893,0.0001499344,0.00012717638],"category_scores_gemma":[0.000084153595,0.00017402737,0.000031485877,0.00016582815,0.00012126474,0.0003545536,0.0005166783,0.00031259764,0.000105614985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001399431,0.00014650683,0.00037554515,0.00014610059,0.000019972926,9.591694e-7,0.0001324658,0.00020881521,0.9786536,0.017073732,0.0014689756,0.001633371],"study_design_scores_gemma":[0.0014942568,0.000116574556,0.00018749604,0.00011563538,0.000045511606,0.000014226798,0.0001732961,0.014259546,0.94447225,0.023392973,0.015248902,0.00047931148],"about_ca_topic_score_codex":0.000075833836,"about_ca_topic_score_gemma":0.00017729733,"teacher_disagreement_score":0.12401848,"about_ca_system_score_codex":0.00012620243,"about_ca_system_score_gemma":0.000064255466,"threshold_uncertainty_score":0.70966303},"labels":[],"label_agreement":null},{"id":"W1982267073","doi":"10.1371/journal.pone.0031532","title":"Comparison of Functional Proteomic Analyses of Human Breast Cancer Cell Lines T47D and MCF7","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"Biology; Cathepsin D; Heat shock protein; Cell culture; Molecular biology; Proteomics; Cell growth; Hsp27; Cancer research; Cell biology; Hsp70; Biochemistry; Gene; Genetics","score_opus":0.11672349704199926,"score_gpt":0.3648214989438245,"score_spread":0.24809800190182524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982267073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99751383,0.00056185096,0.0005700752,0.000042797343,0.0000023624964,0.00012303838,0.0001195556,0.000030187848,0.0010363061],"genre_scores_gemma":[0.98828584,0.000082299615,0.011067525,0.0000049524765,0.00010878057,0.00014755374,0.000025592364,0.0000117542795,0.00026571748],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946433,0.0000039152033,0.0002178293,0.00010072876,0.00011230275,0.00010091317],"domain_scores_gemma":[0.99949986,0.000015020266,0.00019656302,0.00016225665,0.00008376838,0.000042534106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030029694,0.00007653464,0.00020901981,0.000017784942,0.000045655856,0.0000028102559,0.00006321306,0.000053699652,0.0004602473],"category_scores_gemma":[0.0000034389025,0.00007290216,0.000029320798,0.00004780542,0.00006202254,0.00006659285,0.000039552953,0.000078965735,0.0000010100554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132957975,0.00090024585,0.10640263,0.00025167482,0.000045096942,9.221366e-9,0.000040087423,0.00000747006,0.8920756,0.00013896734,0.000033313347,0.00009161171],"study_design_scores_gemma":[0.0001313638,0.000011427024,0.008558765,0.00007718724,0.000100200006,3.674306e-7,0.000037555496,0.00016083971,0.9906403,0.00019839412,0.000010065886,0.00007355711],"about_ca_topic_score_codex":0.00015619131,"about_ca_topic_score_gemma":0.000007520617,"teacher_disagreement_score":0.09856468,"about_ca_system_score_codex":0.00002224234,"about_ca_system_score_gemma":0.000010966857,"threshold_uncertainty_score":0.5039385},"labels":[],"label_agreement":null},{"id":"W1983250825","doi":"10.1210/endo.143.6.8868","title":"Perspective: How to Make Microarray, Serial Analysis of Gene Expression, and Proteomic Relevant to Day-to-Day Endocrine Problems and Physiological Systems","year":2002,"lang":"en","type":"review","venue":"Endocrinology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"","keywords":"Endocrine system; Microarray analysis techniques; Microarray; Gene expression; Endocrinology; Internal medicine; Perspective (graphical); Gene expression profiling; Bioinformatics; Biology; Serial analysis of gene expression; Computational biology; Gene; Medicine; Hormone; Computer science; Genetics","score_opus":0.04092723620243382,"score_gpt":0.3185812937070921,"score_spread":0.27765405750465827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983250825","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011987856,0.96438074,0.013601127,0.0007563663,0.00013752293,0.006762144,0.001584457,0.0003543126,0.00043546705],"genre_scores_gemma":[0.0024263943,0.9551123,0.033612777,0.000042325675,0.00035193583,0.006512583,0.00015808293,0.00010059856,0.0016830252],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99675256,0.00015604412,0.0007813116,0.0014579028,0.00016084134,0.00069133635],"domain_scores_gemma":[0.99784935,0.00019810107,0.00047131474,0.001004481,0.00016495035,0.000311831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000106388856,0.0006485109,0.0025518565,0.0005084196,0.00013371662,0.000053418185,0.00054801424,0.0003114952,0.00007926651],"category_scores_gemma":[0.00027072578,0.0005313878,0.00028655826,0.00068238535,0.00014147366,0.000034950728,0.00064598845,0.0004964521,0.000012991838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005730178,0.00024970877,0.000024463112,0.007395769,0.0014072633,0.00005881793,0.00065398205,0.00018050418,0.92305917,0.0019046877,0.0013450392,0.06366332],"study_design_scores_gemma":[0.0004572745,0.0003205019,0.000018582456,0.0027976036,0.0017994569,0.00030113594,0.00017189053,0.000027905453,0.04012331,0.0002102367,0.95260227,0.0011698407],"about_ca_topic_score_codex":0.00007954811,"about_ca_topic_score_gemma":0.000016243906,"teacher_disagreement_score":0.9512572,"about_ca_system_score_codex":0.00022155246,"about_ca_system_score_gemma":0.000053222284,"threshold_uncertainty_score":0.9997138},"labels":[],"label_agreement":null},{"id":"W1983259877","doi":"10.1007/s00232-014-9668-6","title":"APols-Aided Protein Precipitation: A Rapid Method for Concentrating Proteins for Proteomic Analysis","year":2014,"lang":"en","type":"article","venue":"The Journal of Membrane Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Protein precipitation; Precipitation; Proteome; Proteomics; Chemistry; Chromatography; Digestion (alchemy); Protein purification; Sample preparation; Extraction (chemistry); Biochemistry","score_opus":0.020014758218980057,"score_gpt":0.3285844499501807,"score_spread":0.30856969173120063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983259877","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096305676,0.000085375206,0.90008414,0.0014838544,0.000020552563,0.0016812277,0.000045277637,0.000025539077,0.00026834887],"genre_scores_gemma":[0.35036623,0.000022258711,0.64813656,0.0000866863,0.0003747801,0.00073422247,0.000022092097,0.000020607979,0.00023655672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986926,0.00014840937,0.00064778834,0.00017283697,0.000081878374,0.00025649962],"domain_scores_gemma":[0.99757653,0.0006956207,0.0010363427,0.00030110983,0.0003277514,0.000062639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018058921,0.00015768659,0.00044141832,0.00007663519,0.00017987766,0.000016962109,0.00042785483,0.00014542277,0.000088085304],"category_scores_gemma":[0.00056416466,0.000104544495,0.00029366784,0.00017458234,0.000084157116,0.00006287415,0.000028693252,0.00021897427,0.0000010674564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004148442,0.000035879733,0.000023062426,0.00009477295,0.00027547812,5.0193794e-8,0.00012810733,0.0003372071,0.98482406,0.0069173337,0.000031731393,0.006917482],"study_design_scores_gemma":[0.0010538728,0.00035660304,0.000005813212,0.000039146238,0.00042209373,0.000016494938,0.00005969032,0.009788247,0.9561468,0.025577644,0.006396823,0.00013678658],"about_ca_topic_score_codex":0.0000108319,"about_ca_topic_score_gemma":0.000005500842,"teacher_disagreement_score":0.25406057,"about_ca_system_score_codex":0.000048264625,"about_ca_system_score_gemma":0.00007306479,"threshold_uncertainty_score":0.42632008},"labels":[],"label_agreement":null},{"id":"W1983939667","doi":"10.1021/pr050215d","title":"Differential Dimethyl Labeling of N-Termini of Peptides after Guanidination for Proteome Analysis","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Peptide; Chromatography; Proteome; Mass spectrometry; Reductive amination; Matrix-assisted laser desorption/ionization; Isobaric labeling; Lysine; Tandem mass spectrometry; Amino acid; Protein mass spectrometry; Desorption; Biochemistry; Organic chemistry","score_opus":0.0523720855928441,"score_gpt":0.4135445281505572,"score_spread":0.3611724425577131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983939667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9057724,0.00017339042,0.09274086,0.0003773023,0.0000076030756,0.0006978796,0.000051181796,0.000010458748,0.00016895283],"genre_scores_gemma":[0.80526406,0.00008533726,0.19362953,0.0000019719769,0.00021050982,0.00036461922,0.000005102138,0.000020231235,0.00041865345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997791,0.000055495824,0.0009356408,0.00019204842,0.0007259571,0.00029987472],"domain_scores_gemma":[0.99698025,0.00021637489,0.00075897435,0.00033410644,0.001613732,0.00009656571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012433332,0.00012847623,0.0004681094,0.0006571492,0.00008750111,0.000027713837,0.00043087685,0.00014015098,0.0003599783],"category_scores_gemma":[0.00037622033,0.0001088182,0.0003686143,0.0006722905,0.00014124783,0.00021149515,0.00011117414,0.00047464352,0.0000012629054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037744892,0.00025280513,0.0010051334,0.00038653886,0.00023795888,0.0000015372326,0.00015599659,0.00011638472,0.99228084,0.00023428303,0.000029072262,0.004922],"study_design_scores_gemma":[0.0005272567,0.0002139931,0.00030530716,0.0001676084,0.00013337229,0.0000058045503,0.00007290805,0.0012191063,0.9926633,0.0039960546,0.00059323997,0.00010200155],"about_ca_topic_score_codex":0.000011337451,"about_ca_topic_score_gemma":0.0000046401137,"teacher_disagreement_score":0.10088867,"about_ca_system_score_codex":0.00013098086,"about_ca_system_score_gemma":0.00012402887,"threshold_uncertainty_score":0.44374776},"labels":[],"label_agreement":null},{"id":"W1984084673","doi":"10.1002/pmic.201300486","title":"Application of a fast sorting algorithm to the assignment of mass spectrometric cross‐linking data","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Sorting; Peptide; Chemistry; Binary number; Disulfide bond; Computer science; Algorithm; Computational biology; Mass spectrometry; Biochemistry; Chromatography; Biology; Mathematics; Arithmetic","score_opus":0.019297673195225063,"score_gpt":0.3036506201523186,"score_spread":0.2843529469570935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984084673","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02514335,0.000024464185,0.9727946,0.00017040965,0.000009890216,0.0006149568,0.00011972853,0.000053645963,0.0010689509],"genre_scores_gemma":[0.43891194,0.000012580161,0.5605644,0.00002044391,0.000095412055,0.0002745185,0.00006506084,0.000018243254,0.000037395457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987832,0.000011729525,0.0004654366,0.00033693927,0.0002124217,0.0001902905],"domain_scores_gemma":[0.9979867,0.0000750216,0.0004904943,0.0013079122,0.000094442104,0.000045476903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260262,0.00012334873,0.00019331704,0.000063591375,0.0001022744,0.00002397591,0.0009378433,0.000075660944,0.000013914396],"category_scores_gemma":[0.00011854608,0.00010110821,0.00004458462,0.00038051436,0.00005606029,0.0000686367,0.00035641418,0.00018545815,0.000005529963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009975741,0.00005169177,0.0014940327,0.00009098692,0.000016141545,4.7639812e-8,0.00006326792,0.00079006277,0.8647964,0.0033601762,0.000011089612,0.12931615],"study_design_scores_gemma":[0.00013925791,0.000021658352,0.00007395957,0.000033942983,0.000014369779,0.0000014630241,0.000029954346,0.08466434,0.9019394,0.010856903,0.0021071897,0.000117543],"about_ca_topic_score_codex":0.00003281687,"about_ca_topic_score_gemma":0.0000016371479,"teacher_disagreement_score":0.41376862,"about_ca_system_score_codex":0.00006000995,"about_ca_system_score_gemma":0.000025726431,"threshold_uncertainty_score":0.41230732},"labels":[],"label_agreement":null},{"id":"W1984161169","doi":"10.1002/prca.200600890","title":"An evaluation of multidimensional fingerprinting in the context of clinical proteomics","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"False discovery rate; Peptide mass fingerprinting; Proteome; Context (archaeology); Proteomics; Mass spectrometry; Tandem mass spectrometry; Computational biology; Peptide; Human proteome project; Chromatography; Tandem mass tag; Chemistry; Computer science; Biology; Bioinformatics; Quantitative proteomics; Biochemistry; Gene","score_opus":0.11389768122769402,"score_gpt":0.47407603810096166,"score_spread":0.36017835687326766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984161169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543864,0.00004279916,0.24079448,0.00025335106,0.000028481792,0.0028183076,0.000058275615,0.000050662227,0.0015672399],"genre_scores_gemma":[0.6894259,0.000054545257,0.30843574,0.0001288576,0.00021250338,0.0016493812,0.000062602136,0.000023194087,0.000007263009],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949816,0.00021900752,0.003254761,0.0006326898,0.0006017585,0.0003101688],"domain_scores_gemma":[0.9946029,0.0017152579,0.0015276517,0.0012868664,0.0007450478,0.00012225537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014519952,0.0002056836,0.0005498758,0.00008065043,0.00012885289,0.000012720105,0.00080589566,0.0003969207,0.00007011501],"category_scores_gemma":[0.0011947018,0.00017608679,0.0002806852,0.00036466846,0.000489524,0.00011419094,0.00012115861,0.00088135904,0.000009373583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057183334,0.0075698392,0.22437507,0.00022821748,0.00011255764,0.0000010685881,0.00064522494,0.0005567973,0.2801095,0.13658236,0.00008251245,0.349165],"study_design_scores_gemma":[0.0070260516,0.00042803682,0.07082413,0.0002933397,0.00041638492,0.000017817627,0.0024843912,0.06507259,0.72786826,0.115174666,0.009246088,0.0011482394],"about_ca_topic_score_codex":0.00006986199,"about_ca_topic_score_gemma":0.00005601555,"teacher_disagreement_score":0.44775876,"about_ca_system_score_codex":0.000057645757,"about_ca_system_score_gemma":0.00028590564,"threshold_uncertainty_score":0.7180611},"labels":[],"label_agreement":null},{"id":"W1984403477","doi":"10.1007/s00216-010-3791-8","title":"New ammunition for the proteomic reactor: strong anion exchange beads and multiple enzymes enhance protein identification and sequence coverage","year":2010,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Proteomics; Chemistry; Proteome; Trypsin; Chromatography; Ion exchange; Proteolytic enzymes; Enzyme; Biochemistry; Ion; Organic chemistry","score_opus":0.01962959348895703,"score_gpt":0.28918869861139473,"score_spread":0.2695591051224377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984403477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521562,0.00032739752,0.04300559,0.0027714742,0.0000111471345,0.0006990432,0.00015585143,0.000112215064,0.0007611011],"genre_scores_gemma":[0.9925018,0.00027559345,0.0050294846,0.000037879818,0.00021056563,0.00017585004,0.00007881682,0.00002006024,0.0016699804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987913,0.0000067151364,0.0003067418,0.0004810763,0.00014772976,0.00026643075],"domain_scores_gemma":[0.99896497,0.00023660075,0.000121766854,0.0003812384,0.00007879934,0.00021664593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019495608,0.00021757299,0.00020638549,0.000017257484,0.00024384684,0.00014849666,0.00017402465,0.00023552276,0.00011038026],"category_scores_gemma":[0.000249856,0.00016672918,0.00005994432,0.00009629633,0.0003852194,0.00014028614,0.00011994019,0.0004592081,0.0000013448571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050120227,0.00003568449,0.0004879074,0.00019889954,0.000028053166,6.779718e-7,0.000015810221,2.849403e-7,0.97907573,0.005575434,0.00006744608,0.014463959],"study_design_scores_gemma":[0.0003478046,0.000021380058,0.00020772828,0.00005447179,0.00011160111,0.00002144224,0.000053427015,0.016937736,0.97241056,0.0060902275,0.0034739173,0.00026971148],"about_ca_topic_score_codex":0.00009881233,"about_ca_topic_score_gemma":0.000020317962,"teacher_disagreement_score":0.040345587,"about_ca_system_score_codex":0.000035716213,"about_ca_system_score_gemma":0.000036957645,"threshold_uncertainty_score":0.67990184},"labels":[],"label_agreement":null},{"id":"W1984589199","doi":"10.1373/clinchem.2008.115543","title":"Quantification of Urinary Albumin by Using Protein Cleavage and LC-MS/MS","year":2009,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Chromatography; Chemistry; Albumin; Urine; Detection limit; Calibration curve; Peptide; Mass spectrometry; Liquid chromatography–mass spectrometry; Biochemistry","score_opus":0.04855705509733694,"score_gpt":0.37407809686290544,"score_spread":0.3255210417655685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984589199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911666,0.00024527014,0.0035744791,0.0002859577,0.0000054646903,0.00014881928,0.000048029433,0.00009871225,0.0044266717],"genre_scores_gemma":[0.98355484,0.00009419828,0.015049364,0.00004448667,0.000110916684,0.00002865495,0.000067450535,0.000017932274,0.0010321391],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868894,0.000009477484,0.00062032865,0.00040332624,0.00010846857,0.00016943601],"domain_scores_gemma":[0.99892646,0.00007262534,0.00032119904,0.0005160615,0.00004957954,0.00011408457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018915535,0.00014828297,0.00025233123,0.00000708106,0.000069525304,0.000014578597,0.00021305795,0.00029240848,0.00009071984],"category_scores_gemma":[0.00013662901,0.00015778029,0.00008769306,0.00007508949,0.00019496989,0.000058710288,0.000058463513,0.00034005725,0.0000023758016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036701393,0.00030724294,0.0012652901,0.00011513216,0.0000068792665,0.0000013381753,0.0000048134852,0.0000013138864,0.9933237,0.00011083618,0.00048917066,0.0043375846],"study_design_scores_gemma":[0.00026611233,0.000030577543,0.00010572664,0.0000926689,0.000016997528,0.000010054617,0.00001519786,0.00048186682,0.9926792,0.0018877924,0.0042388267,0.00017500007],"about_ca_topic_score_codex":0.0000046943796,"about_ca_topic_score_gemma":5.5872402e-8,"teacher_disagreement_score":0.011474885,"about_ca_system_score_codex":0.000026058926,"about_ca_system_score_gemma":0.000031138046,"threshold_uncertainty_score":0.6434093},"labels":[],"label_agreement":null},{"id":"W1984709499","doi":"10.1016/j.jprot.2014.03.035","title":"2DE: The Phoenix of Proteomics","year":2014,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Computational biology; Proteomics; Shotgun proteomics; Shotgun; Computer science; Data science; Proteogenomics; Posttranslational modification; Mass spectrometry; Focus (optics); Biology; Chemistry; Bioinformatics; Chromatography; Genomics; Biochemistry; Physics; Genome","score_opus":0.03185584465843334,"score_gpt":0.3441537277337659,"score_spread":0.31229788307533257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984709499","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008618906,0.87417614,0.12228488,0.00013299455,0.000115953786,0.0016099613,0.00009911192,0.000039097376,0.0014556649],"genre_scores_gemma":[0.000019765328,0.77303326,0.2255596,0.000021473657,0.0006963996,0.0002787057,0.000012902202,0.000100429635,0.00027744845],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966225,0.00008232484,0.0022635532,0.0002846034,0.00041660186,0.00033038505],"domain_scores_gemma":[0.9923451,0.00023908736,0.005856552,0.0010173349,0.0004120574,0.0001298578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009560915,0.0004946171,0.0021557282,0.00014955406,0.00013122853,0.000054475157,0.0017237697,0.00059134327,0.00007449325],"category_scores_gemma":[0.00027954634,0.00032494645,0.0012490727,0.00027890666,0.0002151496,0.00010586264,0.0002322557,0.0019001231,0.000011817233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098828925,0.0002927853,0.00000471384,0.031162366,0.0006418705,0.000013728815,0.00011966784,0.000044324195,0.012459977,0.0052885385,0.0016668801,0.9482063],"study_design_scores_gemma":[0.00024831344,0.00009273442,9.324139e-8,0.0077899755,0.0006613542,0.0004358478,0.000014384067,0.000020733973,0.020868221,0.004672407,0.96484065,0.00035530492],"about_ca_topic_score_codex":0.0000042154197,"about_ca_topic_score_gemma":9.531555e-7,"teacher_disagreement_score":0.96317375,"about_ca_system_score_codex":0.00024400919,"about_ca_system_score_gemma":0.0006372289,"threshold_uncertainty_score":0.99992025},"labels":[],"label_agreement":null},{"id":"W1984905617","doi":"10.1586/14789450.5.4.541","title":"Lessons learned from lipid raft proteomics","year":2008,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteomics; Raft; Lipid raft; Computational biology; Biology; Chemistry; Biochemistry; Cholesterol","score_opus":0.08822431568079232,"score_gpt":0.4072130547849674,"score_spread":0.3189887391041751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984905617","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.629059e-7,0.96511716,0.026292633,0.00051084225,0.00009815529,0.0044939634,0.0009373797,0.00033094335,0.0022181815],"genre_scores_gemma":[2.6385552e-8,0.6173873,0.37392852,0.00016945346,0.0006675962,0.0062114336,0.00097148673,0.00020786012,0.00045633837],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947303,0.00013853054,0.0025695402,0.0014112776,0.000509398,0.0006409467],"domain_scores_gemma":[0.99372333,0.00023159746,0.0026947798,0.0028468475,0.0002461174,0.00025735158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002784821,0.0012477185,0.004691456,0.00013169786,0.00022834449,0.000038574253,0.0019299461,0.0010333572,0.00084404764],"category_scores_gemma":[0.00042076746,0.001086851,0.001887869,0.0004943485,0.0002966551,0.00015393409,0.0005854073,0.001554738,0.00016196289],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013038492,0.00020889421,2.3597102e-7,0.0996099,0.00022796915,0.000009974851,0.0000521297,2.8558108e-7,0.0029463137,0.0007106692,0.0073823268,0.8888383],"study_design_scores_gemma":[0.00015899244,0.000023557663,8.188498e-9,0.15319441,0.00022710641,0.000055943994,0.000004982821,0.0000051514,0.008092795,0.00069821253,0.8366611,0.00087772595],"about_ca_topic_score_codex":0.00007954851,"about_ca_topic_score_gemma":0.0000021589112,"teacher_disagreement_score":0.88796055,"about_ca_system_score_codex":0.0004209485,"about_ca_system_score_gemma":0.00086116715,"threshold_uncertainty_score":0.99915814},"labels":[],"label_agreement":null},{"id":"W1985255881","doi":"10.1371/journal.pone.0121314","title":"A Mass Spectrometric-Derived Cell Surface Protein Atlas","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":476,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Neuroscience Center Zurich, University of Zurich; SystemsX.ch; Universität Zürich; China Scholarship Council; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Cell; Cell type; Biology; Cell biology; Cell surface receptor; Proteomics; Computational biology; Cell signaling; Signal transduction; Biochemistry; Gene","score_opus":0.0463227475383715,"score_gpt":0.24340771830166283,"score_spread":0.19708497076329135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985255881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321857,0.0001381909,0.01087545,0.00032549183,0.000002531362,0.0003562243,0.000023204133,0.00034772433,0.055745486],"genre_scores_gemma":[0.61464673,0.000023331942,0.37854245,0.000015286661,0.000060509046,0.0001576105,0.000017155855,0.000027389538,0.0065095113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991218,0.0000066048406,0.0001591037,0.00024769656,0.00024152304,0.0002232581],"domain_scores_gemma":[0.9992272,0.000018731622,0.00009531743,0.00041831142,0.00009928835,0.00014113297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006709216,0.00012304744,0.00016838437,0.00003160598,0.000047426827,0.00002493184,0.00022601942,0.00008834113,0.0002458414],"category_scores_gemma":[0.000050488576,0.00012936712,0.000034646437,0.00025203155,0.000028567065,0.000061695464,0.00006249677,0.00020911939,0.00019210494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013213975,0.00047966914,0.00020920936,0.000058498277,0.000017641942,0.0000021990784,0.000026218579,0.0000064920455,0.9986244,0.0004142749,0.00012075438,0.000027418759],"study_design_scores_gemma":[0.00029286696,0.0000338914,0.0000023711827,0.00003742768,0.000020083742,5.008499e-7,0.000033447934,0.0002472026,0.98863107,0.00981139,0.00072487333,0.00016490357],"about_ca_topic_score_codex":0.000018108063,"about_ca_topic_score_gemma":7.59842e-7,"teacher_disagreement_score":0.367667,"about_ca_system_score_codex":0.000111292786,"about_ca_system_score_gemma":0.000041240586,"threshold_uncertainty_score":0.52754384},"labels":[],"label_agreement":null},{"id":"W1985415840","doi":"10.1007/s12010-012-9661-4","title":"Cell Culture Tracking by Multivariate Analysis of Raw LCMS Data","year":2012,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital du Saint-Sacrement; Université Laval; Feldan (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cell culture; Chromatography; Mass spectrometry; Computer science; Computational biology; Proteome; Chemistry; Multivariate statistics; Process (computing); Sample preparation; Biological system; Biochemical engineering; Biochemistry; Biology; Machine learning; Engineering","score_opus":0.01363523215552485,"score_gpt":0.2715036285056777,"score_spread":0.25786839635015285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985415840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95949674,0.0024741413,0.029833077,0.00034019147,0.00001242317,0.00017592928,0.0010139593,0.00039403499,0.006259483],"genre_scores_gemma":[0.9797721,0.0004169809,0.018295104,0.000034953937,0.000037152764,0.00003667562,0.0011899009,0.000014094351,0.00020305326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892575,0.0000025010577,0.00026566428,0.0004404815,0.00007744138,0.00028814463],"domain_scores_gemma":[0.99867123,0.00002670335,0.00021969473,0.0009897442,0.000020483685,0.000072127565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009649897,0.00018881602,0.00029782078,0.000049676302,0.000087313725,0.000010082385,0.00053375174,0.0006900292,0.000075211756],"category_scores_gemma":[0.000016256789,0.0001729238,0.0000492453,0.00042274993,0.00023178307,0.00005125451,0.00038267137,0.000316724,0.0000017916935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015323207,0.00012903666,0.00022699361,0.000065666114,0.00011483817,1.6955039e-7,0.000030351861,0.0000012628261,0.99474835,0.0011295559,0.0005436639,0.0029948042],"study_design_scores_gemma":[0.00018055538,0.000003976621,0.0000064053393,0.0000058188143,0.00030435642,0.0000030067981,0.00018854081,0.00016192495,0.9869418,0.00022573803,0.0117784925,0.00019934238],"about_ca_topic_score_codex":0.0000124497465,"about_ca_topic_score_gemma":4.1490685e-7,"teacher_disagreement_score":0.020275323,"about_ca_system_score_codex":0.000017991488,"about_ca_system_score_gemma":0.000008989259,"threshold_uncertainty_score":0.70516276},"labels":[],"label_agreement":null},{"id":"W1985779947","doi":"10.1016/j.aca.2008.04.049","title":"Mass spectrometric identification of formaldehyde-induced peptide modifications under in vivo protein cross-linking conditions","year":2008,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Chemistry; Peptide; Cysteine; Tandem mass spectrometry; Amino acid; Bottom-up proteomics; Lysine; Peptide sequence; Mass spectrometry; Biochemistry; Proteomics; Tryptophan; Tandem mass tag; Formaldehyde; Chromatography; Combinatorial chemistry; Quantitative proteomics; Protein mass spectrometry; Enzyme","score_opus":0.027971502726891907,"score_gpt":0.3058916072017581,"score_spread":0.2779201044748662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985779947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98011774,0.0000044442495,0.0067620375,0.00043541365,0.000009240182,0.0004247669,0.00013142805,0.00014155715,0.011973353],"genre_scores_gemma":[0.990522,0.00007030011,0.0074194004,0.00002650039,0.00004527174,0.0003576601,0.000115762385,0.000036630023,0.0014064609],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981071,0.000015249347,0.00084110384,0.00043359929,0.00026513406,0.00033785295],"domain_scores_gemma":[0.9983763,0.0000913585,0.0004531341,0.00082213175,0.00016526484,0.00009182312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015240393,0.00020347378,0.0002858438,0.00043208804,0.00026697098,0.000037747388,0.00046161006,0.00016843338,0.00033147717],"category_scores_gemma":[0.00010283837,0.00022659893,0.00014643377,0.0011795057,0.00017245553,0.00030971883,0.000060286246,0.00035368415,0.000017847344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009431924,0.00018350748,0.0011162707,0.00003888659,0.000026401873,0.0000011222456,0.0000625879,0.00005611411,0.9796644,0.01879363,0.00003538897,0.000012272707],"study_design_scores_gemma":[0.0003374922,0.000016352544,0.0042225504,0.000052515785,0.00002806437,0.000013909765,0.000067684356,0.004798538,0.95891094,0.031151133,0.00014428126,0.00025653958],"about_ca_topic_score_codex":0.000025038753,"about_ca_topic_score_gemma":0.000011843678,"teacher_disagreement_score":0.020753447,"about_ca_system_score_codex":0.00020301486,"about_ca_system_score_gemma":0.00010791954,"threshold_uncertainty_score":0.92404366},"labels":[],"label_agreement":null},{"id":"W1986060649","doi":"10.1186/1477-5956-7-9","title":"A novel approach to denoising ion trap tandem mass spectra","year":2009,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Tandem; Mass spectrum; Spectral line; Noise (video); Ion trap; Tandem mass spectrometry; Filter (signal processing); Noise reduction; Pattern recognition (psychology); Artificial intelligence; Computer science; Mass spectrometry; Chemistry; Physics; Materials science; Chromatography; Computer vision","score_opus":0.023549578181709916,"score_gpt":0.2885476447813242,"score_spread":0.2649980665996143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986060649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080121756,0.0000175105,0.8714069,0.0006051314,0.000012192647,0.00053167756,0.0000056808194,0.000259227,0.047039885],"genre_scores_gemma":[0.5294037,0.0000028519169,0.46999565,0.00012741289,0.000064108855,0.00013557333,0.0000013327657,0.000007327508,0.0002620725],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984437,0.0000023068385,0.000193528,0.0005673367,0.00036071186,0.00043237134],"domain_scores_gemma":[0.9991926,0.0000079749225,0.00007790217,0.00045849153,0.00007559109,0.00018747318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002594751,0.00014342266,0.00012661786,0.00009673839,0.0003697697,0.00012435777,0.0006881351,0.000058304457,0.00002381528],"category_scores_gemma":[0.0000598016,0.00013674996,0.000040147814,0.0008916447,0.00015007186,0.0002564565,0.000052352338,0.00020271937,0.000017340228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040546993,0.000068999616,0.000020011463,0.000006686221,6.2295373e-7,3.030418e-7,0.00008263242,0.00012746584,0.9867305,0.0090992795,0.00000983196,0.0038495818],"study_design_scores_gemma":[0.000113320166,0.000028463106,0.00024037684,0.000026856605,0.0000027305678,0.000018376953,0.00003581096,0.0011902503,0.9810443,0.01619801,0.0008917226,0.00020979768],"about_ca_topic_score_codex":0.0000058658106,"about_ca_topic_score_gemma":2.5243855e-7,"teacher_disagreement_score":0.44928193,"about_ca_system_score_codex":0.00016720807,"about_ca_system_score_gemma":0.000085425374,"threshold_uncertainty_score":0.55765015},"labels":[],"label_agreement":null},{"id":"W1986671417","doi":"10.1039/b710510j","title":"Development of analytical methods for multiplex bio-assay with inductively coupled plasma mass spectrometry","year":2008,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Ontario Genomics Institute; Genome Canada","keywords":"Multiplex; Inductively coupled plasma mass spectrometry; Mass spectrometry; Chemistry; Chromatography; Elemental analysis; Inductively coupled plasma; Reagent; Analytical Chemistry (journal); Plasma; Bioinformatics; Biology","score_opus":0.03399345259920197,"score_gpt":0.34045245244976463,"score_spread":0.3064589998505627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986671417","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48691523,0.000053519667,0.51193,0.00013799322,0.000019373105,0.00013141762,0.000012773686,0.00002929573,0.00077041285],"genre_scores_gemma":[0.369034,0.000039168317,0.63042307,0.000015756008,0.00015557194,0.000014189051,0.0000064842643,0.000040816056,0.00027097776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969262,0.00003889291,0.0014764842,0.00044302281,0.00055403204,0.0005613736],"domain_scores_gemma":[0.99689883,0.000755149,0.0010546009,0.00041849472,0.00050834054,0.0003645903],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009727923,0.00038580672,0.0011153397,0.0006870379,0.00018321995,0.00002507209,0.00059254095,0.00027101405,0.0004117998],"category_scores_gemma":[0.00050560996,0.00030406594,0.00043194197,0.0011770169,0.00036446497,0.0001756234,0.00008107272,0.0008084153,0.0000050591134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015790922,0.0010119228,0.00590874,0.00018869521,0.0016823317,0.00006304211,0.0001851168,0.000072006034,0.97245544,0.014005841,0.0003152122,0.0025325462],"study_design_scores_gemma":[0.0030712364,0.0004460881,0.0014190465,0.0001378512,0.0004161439,0.0008236519,0.0004106431,0.039577097,0.94485635,0.00489747,0.003294951,0.0006494963],"about_ca_topic_score_codex":0.00000271438,"about_ca_topic_score_gemma":9.956749e-7,"teacher_disagreement_score":0.11849308,"about_ca_system_score_codex":0.00064107974,"about_ca_system_score_gemma":0.0005675895,"threshold_uncertainty_score":0.9999412},"labels":[],"label_agreement":null},{"id":"W1986738324","doi":"10.1109/bibm.2014.6999144","title":"NovoPair: De novo peptide sequencing for tandem mass spectra pair","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tandem mass spectrometry; Electron-transfer dissociation; Fragmentation (computing); Spectral line; Mass spectrum; Chemistry; Dissociation (chemistry); Mass spectrometry; Tandem; Ion; Computer science; Physics; Chromatography; Materials science; Physical chemistry","score_opus":0.01794449228311398,"score_gpt":0.2712153440676089,"score_spread":0.25327085178449493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986738324","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042087547,0.00000782706,0.8930042,0.0004956737,0.000007301329,0.00015360853,0.000011122277,0.0005154475,0.06371728],"genre_scores_gemma":[0.4231833,0.0000057261236,0.5712503,0.00025145075,0.00017643973,0.00024043782,0.000012853448,0.00002499826,0.0048544914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926674,0.000003583386,0.00016641582,0.00022758971,0.00006325766,0.00027241846],"domain_scores_gemma":[0.9994245,0.000091569535,0.000059459377,0.00030991822,0.000040617488,0.000073914336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015338772,0.00011417137,0.00011704151,0.000016179882,0.00011447298,0.000022560936,0.00017474452,0.00008860987,0.00025493666],"category_scores_gemma":[0.000051333325,0.00011047017,0.000084078645,0.00004884548,0.000026857331,0.000050012153,0.00002238173,0.00011877645,0.000014062107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057240427,0.000013950839,0.0013054368,0.00004542214,0.000008231676,6.302774e-7,0.00002463169,0.00008728274,0.93005073,0.06585772,0.0011290369,0.0014711998],"study_design_scores_gemma":[0.00021172171,0.000015427286,0.000007877512,0.000017357548,0.000009261161,0.000011473583,0.000055528642,0.006570114,0.8456765,0.08929084,0.05796468,0.00016921018],"about_ca_topic_score_codex":0.000014725912,"about_ca_topic_score_gemma":0.000012697294,"teacher_disagreement_score":0.38109574,"about_ca_system_score_codex":0.00018157074,"about_ca_system_score_gemma":0.000041526608,"threshold_uncertainty_score":0.4504843},"labels":[],"label_agreement":null},{"id":"W1986776576","doi":"10.1074/mcp.t500036-mcp200","title":"Expanding the Subproteome of the Inner Mitochondria Using Protein Separation Technologies","year":2006,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Mitochondrion; Computational biology; Proteome; Chemistry; Biology; Biochemistry","score_opus":0.008876412733076308,"score_gpt":0.25181494320779624,"score_spread":0.24293853047471992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986776576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72700524,0.00021267777,0.270183,0.00037461804,0.000020649179,0.0014632358,0.000014982918,0.0001781209,0.00054750306],"genre_scores_gemma":[0.88920784,0.0000046515756,0.10937701,0.000017172797,0.00005443962,0.0009223701,0.000018273662,0.00005405074,0.0003441773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845946,0.000043166736,0.00048583787,0.00038090738,0.0003002407,0.00033039437],"domain_scores_gemma":[0.9982401,0.0000159266,0.0004616736,0.001149076,0.00011318227,0.000020049489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018188049,0.0002662492,0.00022293761,0.000056203575,0.00037094808,0.000063476036,0.00077227777,0.00026471008,0.00001777075],"category_scores_gemma":[0.00005783455,0.0001812796,0.00019620304,0.00043016303,0.00029951608,0.00009140874,0.00030554476,0.000456633,0.0000031936047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012027883,0.000043294796,0.00015279227,0.00005232718,0.0000131569295,0.000002442338,0.000025142348,0.0013208811,0.9900938,0.008126219,0.000013830191,0.00014406146],"study_design_scores_gemma":[0.00019495138,0.000010092071,0.0000053546105,0.00008504783,0.000029663322,0.000009538807,0.0000738493,0.0017834883,0.96294546,0.03404098,0.00060051645,0.00022108346],"about_ca_topic_score_codex":0.000120093406,"about_ca_topic_score_gemma":0.0000060469815,"teacher_disagreement_score":0.16220264,"about_ca_system_score_codex":0.00012983555,"about_ca_system_score_gemma":0.000073988616,"threshold_uncertainty_score":0.7392367},"labels":[],"label_agreement":null},{"id":"W1986798520","doi":"10.1021/pr200722s","title":"Improvement of Phosphoproteome Analyses Using FAIMS and Decision Tree Fragmentation. Application to the Insulin Signaling Pathway in <i>Drosophila melanogaster</i> S2 Cells","year":2011,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Phosphopeptide; Phosphoproteomics; Ion-mobility spectrometry; Chemistry; Fragmentation (computing); Chromatography; Drosophila melanogaster; Mass spectrometry; Peptide; Biochemistry; Phosphorylation; Protein phosphorylation; Protein kinase A; Biology","score_opus":0.09611026403853698,"score_gpt":0.38713878947097347,"score_spread":0.2910285254324365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986798520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8736492,0.00024874805,0.12485821,0.00013000514,0.000012284761,0.0009393592,0.000015031145,0.000006841472,0.00014036028],"genre_scores_gemma":[0.8645195,0.00012935024,0.13497576,0.000016959879,0.0000856084,0.00023558734,0.0000014184807,0.00002133514,0.000014514683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978619,0.00004730037,0.000847479,0.00025382734,0.0007018153,0.00028767053],"domain_scores_gemma":[0.99834454,0.0001521665,0.00050276745,0.00037211063,0.00049877755,0.00012965263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017899787,0.00014267639,0.00028163314,0.00033406174,0.00015033214,0.000040970688,0.00048674733,0.00010038004,0.00005268179],"category_scores_gemma":[0.00008794789,0.00010396462,0.000080300895,0.0006778129,0.00009915828,0.0002186696,0.00021087077,0.00057055545,0.0000030929564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023399621,0.00013743088,0.00020317524,0.00006411935,0.000019126657,0.0000041585063,0.00058475253,0.0008091778,0.97216713,0.00008566194,0.0000056791732,0.025685579],"study_design_scores_gemma":[0.0004794937,0.00022971355,0.00010360407,0.00021187724,0.000009578692,0.000010668324,0.0006781027,0.00088628964,0.9854216,0.011726286,0.00014399765,0.000098784796],"about_ca_topic_score_codex":0.00017709263,"about_ca_topic_score_gemma":0.00001580769,"teacher_disagreement_score":0.025586793,"about_ca_system_score_codex":0.00018358746,"about_ca_system_score_gemma":0.00011628858,"threshold_uncertainty_score":0.42395544},"labels":[],"label_agreement":null},{"id":"W1987895694","doi":"10.2217/bmm.09.35","title":"Company Profile: Caprion Proteomics, Inc.","year":2009,"lang":"en","type":"article","venue":"Biomarkers in Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Biomarker; Medicine; Identification (biology); Biomarker discovery; Biology","score_opus":0.01585356874171723,"score_gpt":0.3005481582677791,"score_spread":0.28469458952606186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987895694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74672115,0.0019039272,0.044981334,0.021570176,0.00018613912,0.002510026,0.000057274538,0.0010989192,0.18097104],"genre_scores_gemma":[0.8924118,0.00022168626,0.105828464,0.0005023696,0.00023050152,0.0001977599,0.00012866031,0.00002086264,0.000457871],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898404,0.000010344706,0.0003348448,0.00028319942,0.00015532167,0.00023225964],"domain_scores_gemma":[0.99936444,0.00002734256,0.00011427603,0.00037534095,0.000038877286,0.00007971601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021187765,0.00015133218,0.00022021105,0.00008750928,0.000058999627,0.000005749416,0.00023527826,0.00012342307,0.0003923697],"category_scores_gemma":[0.000068536734,0.00013123995,0.000023539964,0.00022017327,0.00013232151,0.00004842048,0.000028375624,0.0002078914,0.000012442821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010674369,0.000113474765,0.0020083832,0.000053812877,0.000015568898,0.000012815527,0.00012532457,0.0000021245128,0.942075,0.0028817325,0.00988442,0.042720564],"study_design_scores_gemma":[0.004833776,0.00031803717,0.009136118,0.0012046259,0.00005221167,0.00007061699,0.00063310534,0.0040514288,0.84246975,0.042706475,0.09349247,0.0010313968],"about_ca_topic_score_codex":0.00007247457,"about_ca_topic_score_gemma":0.0000064162527,"teacher_disagreement_score":0.18051317,"about_ca_system_score_codex":0.000119841934,"about_ca_system_score_gemma":0.000026639507,"threshold_uncertainty_score":0.535181},"labels":[],"label_agreement":null},{"id":"W1987935677","doi":"10.1002/pmic.200900043","title":"Accurate quantitation of standard peptides used for quantitative proteomics","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"National Institute of Environmental Health Sciences","keywords":"Proteomics; Chromatography; Quantitative proteomics; Peptide; Chemistry; Computer science; Biochemistry","score_opus":0.03575335376740844,"score_gpt":0.34990231735554367,"score_spread":0.3141489635881352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987935677","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3426836,0.000041596366,0.6545466,0.00037762435,0.000013287861,0.001398262,0.00028784332,0.00013862847,0.0005125567],"genre_scores_gemma":[0.39199984,0.000046593665,0.60707444,0.0000318927,0.000035048277,0.00061728637,0.000071484494,0.000025953397,0.000097490316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986377,0.000012052409,0.0005392392,0.00035268164,0.00017357462,0.00028475732],"domain_scores_gemma":[0.99855584,0.00012170496,0.000507073,0.0003951493,0.00035308252,0.000067131004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495128,0.00022166109,0.00034308183,0.00007224208,0.00014799823,0.00004051589,0.00028879958,0.0001573504,0.000021567523],"category_scores_gemma":[0.0002451396,0.00022696014,0.00014536045,0.00016830285,0.00008964943,0.00022695672,0.000030048188,0.00018494143,0.000004014015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038765415,0.00007956564,0.000115565024,0.00013479084,0.000019621522,2.803241e-7,0.00027462302,0.00040465538,0.8871949,0.11026269,0.00008252387,0.0010431573],"study_design_scores_gemma":[0.00068446895,0.0002834887,0.0000285133,0.00007989571,0.000021231155,0.0000017344641,0.0001692998,0.004343256,0.8780734,0.11526396,0.00080450886,0.00024624093],"about_ca_topic_score_codex":0.0000083125715,"about_ca_topic_score_gemma":0.000005683051,"teacher_disagreement_score":0.049316242,"about_ca_system_score_codex":0.000100623416,"about_ca_system_score_gemma":0.00010733485,"threshold_uncertainty_score":0.9255166},"labels":[],"label_agreement":null},{"id":"W1988049110","doi":"10.1016/j.jprot.2012.10.020","title":"Targeted protein identification, quantification and reporting for high-resolution nanoflow targeted peptide monitoring","year":2012,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Orbitrap; Computational biology; Quantitative proteomics; Mass spectrometry; Proteomics; Computer science; Selected reaction monitoring; Peptide; Identification (biology); Chemistry; Chromatography; Tandem mass spectrometry; Biology; Biochemistry","score_opus":0.036454481121587834,"score_gpt":0.31241283610039633,"score_spread":0.2759583549788085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988049110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6038426,0.00033580035,0.39493608,0.00020412423,0.000090736576,0.00051554054,0.000015440712,0.000043552023,0.000016109436],"genre_scores_gemma":[0.5957858,0.000043775442,0.40320393,0.0000036175747,0.00048426408,0.0002590132,0.0000179298,0.000026222498,0.00017541551],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997656,0.000020200976,0.0016264501,0.0001956769,0.00020767565,0.0002940216],"domain_scores_gemma":[0.99481744,0.000044731863,0.004178919,0.0002911002,0.00053570536,0.00013213574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013512546,0.00016571392,0.00028330836,0.00010109237,0.00027035095,0.00006896596,0.00018081637,0.00015768535,0.000010521899],"category_scores_gemma":[0.0010452825,0.00016203709,0.0001029947,0.0001372771,0.000048658174,0.0005474606,0.00003774383,0.0002829267,0.0000016124404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006588383,0.00007375977,0.0032626144,0.00011920344,0.000026426953,4.4295106e-7,0.00011688919,0.000069395894,0.99278504,0.0020375324,0.00007393209,0.0013688772],"study_design_scores_gemma":[0.00033469324,0.000029275276,0.0018531057,0.00012775588,0.000042426214,0.000045328252,0.00012630649,0.00046422664,0.9896698,0.0062960433,0.0008326857,0.0001783395],"about_ca_topic_score_codex":0.000010217466,"about_ca_topic_score_gemma":4.272473e-7,"teacher_disagreement_score":0.008267862,"about_ca_system_score_codex":0.00016917489,"about_ca_system_score_gemma":0.000067697074,"threshold_uncertainty_score":0.6607681},"labels":[],"label_agreement":null},{"id":"W1988297067","doi":"10.1021/ac403551f","title":"Fine Tuning of Proteomic Technologies to Improve Biological Findings: Advancements in 2011–2013","year":2013,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Nanotechnology; Biochemical engineering; Computational biology","score_opus":0.03924213149204079,"score_gpt":0.3414190863844589,"score_spread":0.3021769548924181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988297067","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056516128,0.98300284,0.0019879662,0.00030276173,0.000024707651,0.0023387691,0.00040373206,0.0006388677,0.0056487615],"genre_scores_gemma":[0.0009046236,0.97611713,0.01726948,0.000008776425,0.00007108544,0.003195551,0.000234287,0.0000745905,0.002124458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972776,0.000008919873,0.0011095093,0.0008730245,0.00018915356,0.0005418018],"domain_scores_gemma":[0.998325,0.00012790131,0.00038318094,0.00096146885,0.00007998192,0.00012248365],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012838803,0.00056034565,0.001596219,0.00010614348,0.000044102046,0.000023720073,0.0009876887,0.0009935349,0.000993148],"category_scores_gemma":[0.0002991946,0.00046045752,0.00034352505,0.00036610066,0.00020340714,0.000061140556,0.0006337434,0.0010267198,0.000119611606],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022552958,0.00042586852,0.00018528479,0.025467627,0.00019708733,0.00001801295,0.000010668924,0.0000061302103,0.08637641,0.00048201423,0.0014898602,0.88531846],"study_design_scores_gemma":[0.00034165426,0.00005794449,6.8204224e-7,0.0093482,0.00022517021,0.000019220242,0.000046656718,0.00018999027,0.18633163,0.0030277949,0.799121,0.0012900309],"about_ca_topic_score_codex":0.000020406056,"about_ca_topic_score_gemma":7.299137e-7,"teacher_disagreement_score":0.88402843,"about_ca_system_score_codex":0.0002688962,"about_ca_system_score_gemma":0.00009878802,"threshold_uncertainty_score":0.99992007},"labels":[],"label_agreement":null},{"id":"W1988350864","doi":"10.1021/pr401060x","title":"Assessment of Peptide Chemical Modifications on the Development of an Accurate and Precise Multiplex Selected Reaction Monitoring Assay for Apolipoprotein E Isoforms","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Canada Research Chairs; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Apolipoprotein E; Gene isoform; Deamidation; Chemistry; Biochemistry; Multiplex; Apolipoprotein B; Peptide; Molecular biology; Biology; Internal medicine; Medicine; Bioinformatics; Cholesterol; Gene; Enzyme; Disease","score_opus":0.09987307587399467,"score_gpt":0.42562156553029934,"score_spread":0.32574848965630465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988350864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9284256,0.000007841139,0.070202515,0.00021835952,0.000006238087,0.0008280054,0.000009827624,0.00001103964,0.00029055975],"genre_scores_gemma":[0.7538857,0.0000166029,0.24537791,6.84876e-7,0.0000899597,0.00055586034,0.0000041822727,0.000014716963,0.000054405686],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983888,0.00007461731,0.00062623544,0.00016310497,0.00052616856,0.00022103226],"domain_scores_gemma":[0.9974227,0.00048770278,0.0005458426,0.000307326,0.0011399334,0.00009652543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025164527,0.00010202035,0.0002101926,0.00013716544,0.00020246787,0.000027018976,0.00032999975,0.00009956843,0.000007449558],"category_scores_gemma":[0.00087823306,0.00007044074,0.00005093851,0.00023597946,0.00009500496,0.00014382038,0.000062364445,0.00057610753,2.752319e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009875799,0.00018577388,0.00016932363,0.00012979656,0.00002549815,6.331273e-8,0.00014553768,0.00003482112,0.9884087,0.00067292794,0.000008067507,0.01012073],"study_design_scores_gemma":[0.00035801888,0.00014835785,0.0017934549,0.00020110588,0.0000067603746,0.000004358885,0.00019164634,0.004370444,0.9893467,0.0032322628,0.00027575254,0.00007115222],"about_ca_topic_score_codex":0.000010714166,"about_ca_topic_score_gemma":0.0000017335774,"teacher_disagreement_score":0.1751754,"about_ca_system_score_codex":0.0001824587,"about_ca_system_score_gemma":0.00020315127,"threshold_uncertainty_score":0.28724903},"labels":[],"label_agreement":null},{"id":"W1988608316","doi":"10.1109/icbbe.2010.5516290","title":"Statistical Analysis of Mascot Peptide Identification with Active Logistic Regression","year":2010,"lang":"en","type":"article","venue":"International Conference on Bioinformatics and Biomedical Engineering","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Mascot; Logistic regression; Identification (biology); Computer science; Oracle; Artificial intelligence; Regression; Regression analysis; Machine learning; Statistics; Mathematics","score_opus":0.01675598808901827,"score_gpt":0.2949515748319822,"score_spread":0.2781955867429639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988608316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3062024,0.0000017155961,0.689442,0.00029226553,0.000054678534,0.000076152886,0.0004300234,0.00006268776,0.0034380758],"genre_scores_gemma":[0.9433189,0.00003002386,0.056208897,0.000011493145,0.000021227308,0.000022013286,0.00033594042,0.000005129238,0.000046394453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992767,0.0000011683472,0.0002757992,0.00011105302,0.0002454248,0.000089858084],"domain_scores_gemma":[0.9994707,0.000068148904,0.00013898485,0.00013883857,0.000104577055,0.00007871157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006230737,0.00009572959,0.00013740722,0.000172485,0.000026987413,0.000031746873,0.00014863524,0.00007521301,0.00028855648],"category_scores_gemma":[0.00008342655,0.00007013317,0.000026229405,0.00014955265,0.00011522911,0.0000724066,0.000037093483,0.00021112457,0.000001915939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106573796,0.00018020248,0.00072341406,0.00016617081,0.00058733026,0.0000045058596,0.0002768655,0.0005019858,0.4182533,0.5271822,0.000051413946,0.051965993],"study_design_scores_gemma":[0.00025952174,0.00005084768,0.0030552298,0.00011822693,0.00012529238,0.000007784738,0.00012659609,0.9572224,0.0364826,0.0011100845,0.0012477927,0.00019361569],"about_ca_topic_score_codex":0.000008740139,"about_ca_topic_score_gemma":0.0000031987968,"teacher_disagreement_score":0.9567204,"about_ca_system_score_codex":0.00001684396,"about_ca_system_score_gemma":0.000021427952,"threshold_uncertainty_score":0.3159491},"labels":[],"label_agreement":null},{"id":"W1988642036","doi":"10.1186/1477-5956-7-22","title":"Comparison of two label-free global quantitation methods, APEX and 2D gel electrophoresis, applied to the Shigella dysenteriae proteome","year":2009,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; Canadian Institute for Theoretical Astrophysics; University of Texas at Austin; U.S. Department of Health and Human Services","keywords":"Proteome; Shigella dysenteriae; Proteomics; Apex (geometry); Quantitative proteomics; Coomassie Brilliant Blue; Gel electrophoresis; Mass spectrometry; Chemistry; Two-dimensional gel electrophoresis; Biology; Chromatography; Molecular biology; Biochemistry; Escherichia coli; Staining; Gene; Genetics; Anatomy","score_opus":0.031006287446123576,"score_gpt":0.41629092083682134,"score_spread":0.38528463339069774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988642036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54443926,0.00026168418,0.44619805,0.002407761,0.000026023354,0.0022170765,0.000044056804,0.00017057902,0.0042355056],"genre_scores_gemma":[0.56541294,0.000014689981,0.4340645,0.00008794928,0.00003102436,0.00034782785,0.000002836421,0.0000067624615,0.000031444913],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99817413,0.00002665043,0.00040121918,0.0005670563,0.00041299334,0.00041792943],"domain_scores_gemma":[0.99860215,0.00004205724,0.00026235767,0.0008044221,0.00015238514,0.00013663169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007906976,0.00019493586,0.0002693995,0.000065496955,0.0003859621,0.00011051021,0.0011179262,0.000060363906,0.000018782934],"category_scores_gemma":[0.0001927344,0.0001536588,0.000032476262,0.0010107791,0.00035878396,0.00013680903,0.00025685248,0.00019294387,0.00000762216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045863293,0.00007339891,0.00021918745,0.000025330239,0.0000031278485,1.3631383e-7,0.00014648406,0.000048034344,0.9574285,0.02724768,0.00005446662,0.014707776],"study_design_scores_gemma":[0.00029017782,0.00010923559,0.0006784968,0.000029150857,0.000011679265,0.000004721739,0.00007664218,0.00125069,0.9437235,0.052800998,0.00083561783,0.000189103],"about_ca_topic_score_codex":0.000035516317,"about_ca_topic_score_gemma":0.00001075475,"teacher_disagreement_score":0.02555332,"about_ca_system_score_codex":0.000117680625,"about_ca_system_score_gemma":0.00009628807,"threshold_uncertainty_score":0.6266024},"labels":[],"label_agreement":null},{"id":"W1988766191","doi":"10.1186/1471-2105-10-244","title":"ETISEQ – an algorithm for automated elution time ion sequencing of concurrently fragmented peptides for mass spectrometry-based proteomics","year":2009,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Sydney; Australian Government; Ontario Ministry of Natural Resources and Forestry","keywords":"Fragmentation (computing); Shotgun proteomics; Proteomics; Peptide; Mass spectrometry; Data acquisition; Computer science; Quantitative proteomics; Tandem mass spectrometry; Chemistry; Computational biology; Chromatography; Biology; Biochemistry","score_opus":0.02039169974329908,"score_gpt":0.2938443584831975,"score_spread":0.27345265873989844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988766191","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010271397,0.000013026389,0.9863702,0.000032286323,0.000017833863,0.0015190097,0.00084133685,0.0006469207,0.00028800557],"genre_scores_gemma":[0.0072836624,0.0000071308864,0.99080694,0.00004995209,0.00006407891,0.00037285095,0.0013251894,0.000024890856,0.00006529381],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987025,0.0000062420604,0.00065204897,0.00017550959,0.0001587382,0.00030494205],"domain_scores_gemma":[0.9987035,0.0000744741,0.00054418563,0.00036269805,0.0002300401,0.0000851225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020196974,0.00021322242,0.00027665086,0.00010934031,0.00014126966,0.00004016476,0.00023148424,0.0001892419,0.000016657563],"category_scores_gemma":[0.000060816143,0.00021747661,0.00013645663,0.00018364894,0.00005245747,0.00025695987,0.000013833377,0.00011039871,0.0000037766688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007134305,0.000121533354,0.000019303256,0.00058299367,0.000020824018,9.267708e-8,0.00010223785,0.002837344,0.9846603,0.0019009461,0.00024847646,0.009434606],"study_design_scores_gemma":[0.00060908246,0.00014773794,0.000004003332,0.00007255412,0.000026067972,0.0000014872826,0.00006442301,0.571064,0.42627946,0.0014456761,0.0001358807,0.00014966658],"about_ca_topic_score_codex":0.0000023663265,"about_ca_topic_score_gemma":5.4652935e-7,"teacher_disagreement_score":0.56822664,"about_ca_system_score_codex":0.00023842392,"about_ca_system_score_gemma":0.00016067325,"threshold_uncertainty_score":0.8868439},"labels":[],"label_agreement":null},{"id":"W1988902225","doi":"10.1016/s0167-7799(00)01507-9","title":"The Achilles' heel of proteomics","year":2000,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario College of Art and Design; Muscular Dystrophy Canada","funders":"","keywords":"Heel; Proteomics; Computational biology; Chemistry; Computer science; Biology; Anatomy; Biochemistry","score_opus":0.009855956706807703,"score_gpt":0.27695564899704117,"score_spread":0.26709969229023345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988902225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92746884,0.00037839526,0.0020659403,0.007948155,0.000014845509,0.0001600744,0.00003951115,0.0004553724,0.061468855],"genre_scores_gemma":[0.9460483,0.0011421953,0.048581652,0.000028662735,0.000020893942,0.00023106154,0.000012661959,0.000020235106,0.0039142976],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993122,0.00000491899,0.00024559043,0.00018552317,0.000050788236,0.00020096001],"domain_scores_gemma":[0.9993039,0.000027169795,0.00007472012,0.00057017396,0.0000094506895,0.0000145999975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006442145,0.0000945365,0.00012894068,0.00007813276,0.000076015596,0.0000043695945,0.00042936072,0.00030308153,0.00046265995],"category_scores_gemma":[0.000011920095,0.00007302702,0.000042502816,0.0003254549,0.00028591414,0.00001789825,0.0000562944,0.00033856815,0.0000100948355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003654595,0.0000737487,0.00024675098,0.0000071775253,0.0000082062825,0.0000013513384,0.000026319356,0.000029973373,0.22409947,0.06279047,0.0001884784,0.7124915],"study_design_scores_gemma":[0.00022124061,0.000022171416,0.00008188139,0.000012324188,0.0000032041073,0.000011144807,0.000029262605,0.0002372428,0.8818542,0.020490743,0.096931666,0.000104911014],"about_ca_topic_score_codex":0.000025943664,"about_ca_topic_score_gemma":0.000036061978,"teacher_disagreement_score":0.7123866,"about_ca_system_score_codex":0.00003224942,"about_ca_system_score_gemma":0.0000087051785,"threshold_uncertainty_score":0.50658023},"labels":[],"label_agreement":null},{"id":"W1989265845","doi":"10.1021/pr900949p","title":"Top-Down and Bottom-Up Proteomics of SDS-Containing Solutions Following Mass-Based Separation","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Proteome; Chromatography; Proteomics; Chemistry; Acetone; Two-dimensional gel electrophoresis; Sample preparation; Biochemistry","score_opus":0.05292370855221872,"score_gpt":0.40898536273015806,"score_spread":0.35606165417793934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989265845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89670646,0.00009845228,0.10080729,0.0009123435,0.00004814795,0.0006011554,0.000013008184,0.000026178868,0.00078698585],"genre_scores_gemma":[0.77483624,0.000027866095,0.22450627,0.000007135104,0.00016471648,0.00017016193,0.0000035595872,0.000022328,0.00026172484],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981021,0.000055536755,0.0006242434,0.00020462433,0.000616506,0.00039695058],"domain_scores_gemma":[0.9981865,0.00020229821,0.00041957185,0.00034905964,0.0006746506,0.00016790743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024226324,0.00013322916,0.00028849766,0.0002888837,0.00033498803,0.00007653032,0.00035286133,0.00021151912,0.00009104497],"category_scores_gemma":[0.00058850204,0.00012220391,0.00015285403,0.00032280202,0.00018441337,0.00027503827,0.000090924514,0.001766611,0.0000025479026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120393575,0.000058633475,0.0015459028,0.00009487929,0.00002594629,0.000006526981,0.00009751561,0.00004012403,0.99448955,0.0018920107,0.00005219222,0.0015763274],"study_design_scores_gemma":[0.00083527487,0.00021879852,0.0001126963,0.00018252588,0.000019109135,0.000035394114,0.0001818864,0.0025529242,0.98134875,0.012792231,0.0015764487,0.0001439646],"about_ca_topic_score_codex":0.000026869731,"about_ca_topic_score_gemma":0.0000074428594,"teacher_disagreement_score":0.12369899,"about_ca_system_score_codex":0.00010263258,"about_ca_system_score_gemma":0.00047211067,"threshold_uncertainty_score":0.7675144},"labels":[],"label_agreement":null},{"id":"W1989292033","doi":"10.1002/cmdc.200700085","title":"SERS Classification of Highly Related Performance Enhancers","year":2007,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada; National Institute for Nanotechnology","funders":"Genomic Health","keywords":"Enhancer; Athletes; Performance enhancement; Nanotechnology; Risk analysis (engineering); Computational biology; Computer science; Drug discovery; Biochemical engineering; Chemistry; Medicine; Biology; Engineering; Materials science; Gene; Biochemistry; Transcription factor; Physical medicine and rehabilitation","score_opus":0.014663715283270354,"score_gpt":0.27000221584435696,"score_spread":0.2553385005610866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989292033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90069526,0.00004961757,0.0057971077,0.00011919817,0.00001595399,0.0000795931,0.0000045591405,0.00016257107,0.09307614],"genre_scores_gemma":[0.9851714,0.0000901073,0.012899605,0.000020591788,0.000037134832,0.00004026827,0.000043490545,0.00002120665,0.0016762181],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999139,0.0000013638567,0.00032784184,0.00020876327,0.0001221675,0.00020085007],"domain_scores_gemma":[0.9992403,0.00003670254,0.00021107272,0.00037230644,0.00007619276,0.000063473395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015272485,0.00010893331,0.00012533843,0.000034267257,0.000054370634,0.0000039532392,0.00019556023,0.00015113922,0.00014702148],"category_scores_gemma":[0.000020703501,0.00011444567,0.00005214474,0.00020195816,0.00010652037,0.000077085824,0.000029280855,0.00018203826,0.000022309383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018230703,0.000032303527,0.00092204346,0.000070149545,0.000009054651,2.7467243e-7,0.00008581935,0.0000042109596,0.98494273,0.0025509512,0.00014772946,0.011216501],"study_design_scores_gemma":[0.00017845602,0.000007771513,0.00061690685,0.000036424743,0.00000892976,0.0000028486131,0.000105834784,0.00025632072,0.9934845,0.0008355423,0.0043416657,0.00012477579],"about_ca_topic_score_codex":0.00000404356,"about_ca_topic_score_gemma":8.034289e-7,"teacher_disagreement_score":0.09139992,"about_ca_system_score_codex":0.00011230399,"about_ca_system_score_gemma":0.000029024237,"threshold_uncertainty_score":0.4666959},"labels":[],"label_agreement":null},{"id":"W1989337834","doi":"10.1002/anie.200460508","title":"Chameleon Labels for Staining and Quantifying Proteins","year":2004,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Staining; Chemistry; Fluorescence; Covalent bond; Electrophoresis; Conjugated system; Biophysics; Biochemistry; Molecular biology; Biology; Polymer; Organic chemistry; Genetics","score_opus":0.03310040460278852,"score_gpt":0.3177591314124121,"score_spread":0.28465872680962356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989337834","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20655626,0.00013846564,0.77979445,0.0035923508,0.0001776707,0.00049252645,0.00038268362,0.00033863427,0.008526954],"genre_scores_gemma":[0.9411545,0.00011894236,0.056338303,0.00013408426,0.0007472399,0.0007484944,0.00050012534,0.000021995782,0.00023634518],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999361,0.0000010021657,0.00015964308,0.00022480769,0.00012212842,0.00013143619],"domain_scores_gemma":[0.9995876,0.000034280572,0.00010603764,0.00010356347,0.00012628578,0.000042228337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006837432,0.000100969504,0.000083984196,0.00003588672,0.00011339592,0.00004324552,0.00010659556,0.00007982483,0.00007360155],"category_scores_gemma":[0.000070194335,0.000108388434,0.00004003138,0.000039034505,0.000038974827,0.00019476858,0.00003713269,0.000104485924,0.0000023816074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032325857,0.000050433042,0.000104755854,0.000060338458,0.000022818454,0.0000011204978,0.00013688879,0.0000302534,0.97213244,0.02468987,0.000200683,0.0025380913],"study_design_scores_gemma":[0.00056409225,0.00001566106,0.000016834407,0.0000952721,0.0000071886034,0.000008549656,0.00009434521,0.000065691536,0.9437323,0.04016079,0.015118079,0.00012118067],"about_ca_topic_score_codex":0.000020372776,"about_ca_topic_score_gemma":0.000006220051,"teacher_disagreement_score":0.7345982,"about_ca_system_score_codex":0.00011714179,"about_ca_system_score_gemma":0.000023505585,"threshold_uncertainty_score":0.4419952},"labels":[],"label_agreement":null},{"id":"W1989543759","doi":"10.1016/j.ddtec.2006.10.001","title":"Proteomic approaches in drug discovery","year":2006,"lang":"en","type":"article","venue":"Drug Discovery Today Technologies","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institute for Theoretical Astrophysics","keywords":"Drug discovery; Computational biology; Proteomics; Drug target; Drug; Data science; Computer science; Biology; Bioinformatics; Gene; Pharmacology; Genetics","score_opus":0.013472430160052758,"score_gpt":0.23506552628882713,"score_spread":0.22159309612877437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989543759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96368825,0.0005633376,0.008206848,0.0021763304,0.000033439337,0.0006658463,0.00014528274,0.0024269945,0.022093654],"genre_scores_gemma":[0.97355795,0.00020120516,0.015057029,0.000020356156,0.000060143077,0.001801012,0.00012337725,0.00006196487,0.009116959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978591,0.000013868357,0.00053385046,0.00077719474,0.00022606507,0.00058988616],"domain_scores_gemma":[0.998578,0.00006595229,0.0002317923,0.0010832691,0.000019824649,0.00002112795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001560823,0.00040466737,0.00039332028,0.0002145381,0.00015971261,0.00022783435,0.00091041386,0.00026410588,0.000017907618],"category_scores_gemma":[0.000058392336,0.00036853916,0.00014967381,0.00046309351,0.00039617388,0.0010651904,0.00049377984,0.00065154664,0.000019093408],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015188479,0.0014045937,0.05438423,0.0005035382,0.000055367702,0.00006247022,0.0002350593,0.0027877588,0.35560745,0.5599168,0.008382355,0.016508507],"study_design_scores_gemma":[0.00032957192,0.00000651229,0.0003516776,0.00011270206,0.000010693629,0.000007518273,0.0010940803,0.0001869642,0.81297004,0.17879306,0.005611134,0.00052607065],"about_ca_topic_score_codex":0.0005070586,"about_ca_topic_score_gemma":0.00018006266,"teacher_disagreement_score":0.45736256,"about_ca_system_score_codex":0.0002445341,"about_ca_system_score_gemma":0.00006216448,"threshold_uncertainty_score":0.9998767},"labels":[],"label_agreement":null},{"id":"W1989890061","doi":"10.1586/14789450.5.4.603","title":"Complementary methods to assist subcellular fractionation in organellar proteomics","year":2008,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"","keywords":"Proteomics; Proteome; Cell fractionation; Organelle; Computational biology; Differential centrifugation; Subcellular localization; Biology; Quantitative proteomics; Identification (biology); Computer science; Bioinformatics; Cell biology; Biochemistry; Enzyme; Cytoplasm","score_opus":0.05765447516257207,"score_gpt":0.44682546926991573,"score_spread":0.3891709941073437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989890061","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012180867,0.75418156,0.2396988,0.00019146061,0.000058800328,0.0050224857,0.00015712665,0.00009204335,0.00059652753],"genre_scores_gemma":[4.8630916e-8,0.5122074,0.4824748,0.0001889886,0.0001473039,0.004169653,0.00062854413,0.00009887348,0.00008440209],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953324,0.00025254683,0.002543033,0.0009791839,0.0004211564,0.00047166826],"domain_scores_gemma":[0.99631053,0.00021077132,0.0016119584,0.0014466274,0.00023413172,0.00018598879],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007477462,0.0008229286,0.003017655,0.0002920932,0.0001415856,0.000022875882,0.001074178,0.0005139564,0.0006368096],"category_scores_gemma":[0.00035731934,0.0007836969,0.00074459816,0.00092074485,0.00009760831,0.00013465698,0.00037818868,0.0009770562,0.000052656025],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018824978,0.0004002326,0.00000458303,0.1441277,0.000148829,0.000016119773,0.00009954061,0.0000035865428,0.010915386,0.0010607949,0.003974026,0.83923036],"study_design_scores_gemma":[0.00013976113,0.000030417792,1.0687646e-7,0.06829964,0.00009327546,0.00007760163,0.0000105702675,0.0000132624245,0.020680796,0.00035444714,0.9096198,0.00068032905],"about_ca_topic_score_codex":0.00008037936,"about_ca_topic_score_gemma":0.000005367223,"teacher_disagreement_score":0.9056458,"about_ca_system_score_codex":0.0009549822,"about_ca_system_score_gemma":0.0004911941,"threshold_uncertainty_score":0.9994614},"labels":[],"label_agreement":null},{"id":"W1989970584","doi":"10.1371/journal.pone.0016352","title":"Identification of Novel Molecular Targets for Endometrial Cancer Using a Drill-Down LC-MS/MS Approach with iTRAQ","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; St. Michael's Hospital; University of Toronto; York University","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Mitacs; York University","keywords":"Identification (biology); Endometrial cancer; Computational biology; Cancer; Biology; Bioinformatics; Genetics","score_opus":0.07968141120198163,"score_gpt":0.2833289299695879,"score_spread":0.20364751876760628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989970584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4584813,0.00008736292,0.5397292,0.000012045242,0.0000059623626,0.000571557,0.0001789321,0.000057857727,0.00087575644],"genre_scores_gemma":[0.57475084,0.00002143979,0.424191,0.00000784729,0.00007132849,0.0008068591,0.000038795988,0.00002830749,0.00008358672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908525,0.00000345446,0.00028570837,0.00027851423,0.00017835283,0.00016871883],"domain_scores_gemma":[0.9991046,0.000021782407,0.00029136054,0.00034695546,0.00018959105,0.000045694618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008177173,0.0001217711,0.00021516117,0.000058347774,0.00006479572,0.000010408046,0.0001797107,0.00008665441,0.00005119612],"category_scores_gemma":[0.000046620746,0.00011674963,0.000056717006,0.00018662972,0.000058376972,0.000075533695,0.000029085732,0.00009501126,5.066795e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011513261,0.0011071799,0.00018370542,0.0002073759,0.00013447013,1.398953e-7,0.0001083954,0.00007008908,0.9963532,0.0016148974,0.000003797521,0.00010163431],"study_design_scores_gemma":[0.000817783,0.000025681702,0.00001135504,0.000069306225,0.00016648923,9.838661e-7,0.00002139674,0.0068435366,0.99125576,0.0006020955,0.000037082777,0.00014854565],"about_ca_topic_score_codex":0.00010966104,"about_ca_topic_score_gemma":0.0000025991924,"teacher_disagreement_score":0.11626952,"about_ca_system_score_codex":0.000057630758,"about_ca_system_score_gemma":0.00003993934,"threshold_uncertainty_score":0.47609118},"labels":[],"label_agreement":null},{"id":"W1990340142","doi":"10.1002/pmic.200800412","title":"A comparison of MS/MS‐based, stable‐isotope‐labeled, quantitation performance on ESI‐quadrupole TOF and MALDI‐TOF/TOF mass spectrometers","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Genome British Columbia; University of Victoria","funders":"Genome British Columbia; Genome Canada","keywords":"Chromatography; Chemistry; Mass spectrometry; Peptide; Reproducibility; Electrospray; Matrix-assisted laser desorption/ionization; Sample preparation; Tandem mass spectrometry; Analytical Chemistry (journal); Biochemistry","score_opus":0.023916029942857277,"score_gpt":0.30897678666454687,"score_spread":0.28506075672168957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990340142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210265,0.00010686961,0.0743551,0.000393243,0.000015736232,0.0007656486,0.000066734516,0.00015069392,0.003119427],"genre_scores_gemma":[0.7423701,0.0001047903,0.256958,0.0000873525,0.000039625826,0.00017719118,0.000051500185,0.000028003738,0.00018337237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984543,0.000016811107,0.0005095338,0.0004267037,0.00023955728,0.00035311191],"domain_scores_gemma":[0.9988371,0.000058572045,0.00039436834,0.00051562337,0.000096375836,0.000097948214],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016544032,0.0002697301,0.00039297368,0.00011241115,0.00016284955,0.000047952464,0.0002705806,0.00016363231,0.00008275153],"category_scores_gemma":[0.000036577527,0.0002838946,0.00007300084,0.00021824903,0.00009061125,0.0001775363,0.000036085992,0.00036063025,0.000010408784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028878773,0.0002612841,0.0060372506,0.0002306541,0.000015875943,8.7821525e-7,0.00011200095,0.0009752314,0.9826846,0.005015885,0.00008765982,0.004289904],"study_design_scores_gemma":[0.00068557786,0.00037056935,0.0005476681,0.0001380988,0.00002307495,0.0000026019845,0.00006648882,0.02479255,0.96904683,0.0029017366,0.0011088583,0.00031597246],"about_ca_topic_score_codex":0.00002541533,"about_ca_topic_score_gemma":0.0000045591137,"teacher_disagreement_score":0.18260293,"about_ca_system_score_codex":0.0001453582,"about_ca_system_score_gemma":0.000061195096,"threshold_uncertainty_score":0.9999613},"labels":[],"label_agreement":null},{"id":"W1990464724","doi":"10.1586/epr.12.22","title":"Chemical proteomics and its impact on the drug discovery process","year":2012,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Hospital and Health Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Drug discovery; Proteomics; Computer science; Computational biology; Proteome; Drug development; Data science; Process (computing); Drug target; Identification (biology); Business process discovery; Drug; Bioinformatics; Chemistry; Biology; Pharmacology; Work in process; Engineering","score_opus":0.03257457122426644,"score_gpt":0.39273100602481803,"score_spread":0.3601564348005516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990464724","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010744843,0.991925,0.0007041317,0.00025619456,0.00003215765,0.005826378,0.0003232744,0.00009561293,0.0007297868],"genre_scores_gemma":[0.000029495775,0.9733037,0.015453713,0.00020092024,0.00049941713,0.009921466,0.00018703626,0.00017218523,0.00023209064],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693716,0.00008833855,0.0013253759,0.00072754844,0.00038251388,0.00053904566],"domain_scores_gemma":[0.9965975,0.00026334103,0.001509127,0.001300838,0.00014252834,0.00018666637],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060409197,0.0009603706,0.0024201677,0.000060703187,0.00014178421,0.00006211663,0.0011544129,0.00042388993,0.00019422905],"category_scores_gemma":[0.00025567116,0.00054062146,0.00090113684,0.00031069192,0.00017484165,0.00024378324,0.0003418328,0.0012026771,0.000026481714],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066605884,0.0006137607,0.0000018893804,0.63980526,0.00049023726,0.0000035442329,0.00024609998,4.514222e-7,0.009152646,0.009127191,0.0023532202,0.3381391],"study_design_scores_gemma":[0.00015270487,0.00003655119,3.580215e-8,0.23394695,0.0006101902,0.00011138832,0.000018141083,0.000012700976,0.08019783,0.00079136796,0.68287796,0.0012441741],"about_ca_topic_score_codex":0.000005414489,"about_ca_topic_score_gemma":1.4036581e-7,"teacher_disagreement_score":0.68052477,"about_ca_system_score_codex":0.00026818836,"about_ca_system_score_gemma":0.0003464532,"threshold_uncertainty_score":0.99970454},"labels":[],"label_agreement":null},{"id":"W1990697975","doi":"10.1016/j.jprot.2008.11.015","title":"Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring","year":2008,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Canadian Blood Services","keywords":"Selected reaction monitoring; Computer science; Proteomics; Chemistry; Proteome; Mass spectrometry; Data mining; Computational biology; Tandem mass spectrometry; Chromatography; Biology","score_opus":0.06259024882468153,"score_gpt":0.35417553032700105,"score_spread":0.29158528150231955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990697975","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5632308,0.00007764141,0.43573472,0.000019817042,0.000035775305,0.00068909884,0.00014812817,0.00002240389,0.000041579002],"genre_scores_gemma":[0.43788138,0.000096622585,0.5614389,0.0000024722583,0.00019726052,0.00021032369,0.00010856196,0.000025502612,0.00003894417],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984438,0.00001582933,0.0008493729,0.00025554505,0.00024403531,0.00019143135],"domain_scores_gemma":[0.9976041,0.00003544457,0.0014803823,0.0005041345,0.00029546008,0.000080488426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020391654,0.00016344145,0.000293161,0.00006362813,0.00018537311,0.000017295979,0.00052571757,0.00013159565,0.0000036387721],"category_scores_gemma":[0.00004867947,0.00016347435,0.00010528585,0.00009049813,0.000057521982,0.00050047936,0.000104572784,0.00025714946,1.5698238e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017004696,0.00017533982,0.004885582,0.000075615266,0.000060033453,0.0000010509798,0.00019836912,0.00008689619,0.99348813,0.000012977536,0.00037845268,0.00046750932],"study_design_scores_gemma":[0.0012288264,0.00009715471,0.0000846232,0.000038102346,0.000035915946,0.000086102606,0.0004894261,0.0026644839,0.9945612,0.000108690816,0.00045591424,0.00014958363],"about_ca_topic_score_codex":0.00006480922,"about_ca_topic_score_gemma":4.8061275e-7,"teacher_disagreement_score":0.1257042,"about_ca_system_score_codex":0.00019042424,"about_ca_system_score_gemma":0.00014085113,"threshold_uncertainty_score":0.6666291},"labels":[],"label_agreement":null},{"id":"W1990831522","doi":"10.1021/ja411492k","title":"An Excimer-Based, Turn-On Fluorescent Sensor for the Selective Detection of Diphosphorylated Proteins in Aqueous Solution and Polyacrylamide Gels","year":2014,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Phosphorylation; Fluorescence; Aqueous solution; Polyacrylamide; Biophysics; Turn (biochemistry); Posttranslational modification; Biochemistry; Polymer chemistry; Organic chemistry; Biology; Enzyme","score_opus":0.006762423340993272,"score_gpt":0.25596317268257507,"score_spread":0.2492007493415818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990831522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9425211,0.00005922674,0.056375794,0.0007481924,0.000010172488,0.00025215987,0.000010658121,0.000014646871,0.000008074002],"genre_scores_gemma":[0.9839727,0.000052659037,0.015651844,0.00015588962,0.00009357694,0.000051108414,9.4684515e-7,0.000016748774,0.0000045020233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922144,0.000026648635,0.0002979574,0.00013797017,0.00015684495,0.0001591593],"domain_scores_gemma":[0.9987324,0.00021525877,0.0006700402,0.00021719179,0.000117569514,0.000047561763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002303774,0.000113453425,0.00021317432,0.000011590431,0.000105394094,0.000011031387,0.00021795643,0.00006828509,0.0000014807628],"category_scores_gemma":[0.00011225439,0.0000701353,0.00020463229,0.00017340033,0.000276756,0.000036702764,0.000027380334,0.00040465267,6.4776344e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002209566,0.0001019937,0.00022502005,0.000016940043,0.00002479373,5.352486e-8,0.0000886618,0.00026797017,0.9806137,0.000013404264,0.000029247974,0.018397242],"study_design_scores_gemma":[0.00038874624,0.00016331184,0.00039953945,0.000045732213,0.00003301827,0.000008701544,0.000121127196,0.015269465,0.98239195,0.0008451556,0.00024994076,0.00008328752],"about_ca_topic_score_codex":0.0000919433,"about_ca_topic_score_gemma":0.000002960574,"teacher_disagreement_score":0.041451648,"about_ca_system_score_codex":0.00019611443,"about_ca_system_score_gemma":0.000034914345,"threshold_uncertainty_score":0.28600344},"labels":[],"label_agreement":null},{"id":"W1991380003","doi":"10.1038/nrd2945","title":"Proteomic identification of multitasking proteins in unexpected locations complicates drug targeting","year":2009,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Computational biology; Human multitasking; Function (biology); Identification (biology); Drug discovery; Biology; Proteome; Gene; Cellular compartment; Cell biology; Bioinformatics; Genetics; Neuroscience; Cell","score_opus":0.01871353467614772,"score_gpt":0.3386049028084659,"score_spread":0.31989136813231817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991380003","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000043935936,0.98992735,0.0032248918,0.00011335406,0.000039913986,0.005797401,0.00024984017,0.00015363614,0.0004496577],"genre_scores_gemma":[0.00060123653,0.9757341,0.014688448,0.000019880292,0.00018126665,0.005979791,0.0018890587,0.00011048943,0.0007957319],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950836,0.00018988526,0.002915549,0.0010596922,0.00031380684,0.00043747306],"domain_scores_gemma":[0.9950625,0.00016502323,0.003131983,0.0014204908,0.00014218478,0.00007782368],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00078203523,0.00076979696,0.0025684831,0.00032375508,0.0001565592,0.000108199114,0.0011180955,0.0007057633,0.000024594818],"category_scores_gemma":[0.00042442902,0.00065932394,0.0008210695,0.0010965868,0.00011080515,0.00041927976,0.00017341669,0.0023214503,0.000028422974],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011265306,0.00081080286,0.000023852974,0.09013776,0.000109152104,0.0000041195026,0.00021681907,0.00004607755,0.011235389,0.006697027,0.0029120706,0.8877957],"study_design_scores_gemma":[0.00015608712,0.000003862493,0.000003290207,0.041467264,0.0003092114,0.00000870062,0.000027392638,0.00005436679,0.007591792,0.0018154132,0.9477816,0.00078098587],"about_ca_topic_score_codex":0.000030699804,"about_ca_topic_score_gemma":0.00001046333,"teacher_disagreement_score":0.9448696,"about_ca_system_score_codex":0.0004914926,"about_ca_system_score_gemma":0.00025222785,"threshold_uncertainty_score":0.9999802},"labels":[],"label_agreement":null},{"id":"W1991953772","doi":"10.1002/pmic.201100523","title":"Affinity‐purification coupled to mass spectrometry: Basic principles and strategies","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":370,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Mass spectrometry; Tandem affinity purification; Proteomics; Computational biology; Protein–protein interaction; Function (biology); Chemistry; Protein function; Protein purification; Identification (biology); Protein ligand; Affinity chromatography; Biochemical engineering; Chromatography; Biochemistry; Biology; Enzyme; Cell biology; Engineering","score_opus":0.06479757224059426,"score_gpt":0.33154918340352396,"score_spread":0.26675161116292967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991953772","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012437999,0.87641865,0.116477065,0.000060517967,0.000033497363,0.0022803787,0.00016375324,0.00036294677,0.0040787905],"genre_scores_gemma":[0.00002892109,0.6551986,0.34124815,0.000009028501,0.00023572614,0.0025413902,0.00014681957,0.0000870283,0.00050436065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980915,0.000023569444,0.0006321234,0.0006286241,0.00017581444,0.00044837024],"domain_scores_gemma":[0.9982387,0.00008691378,0.000521587,0.00086352584,0.00006795924,0.00022130263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025428415,0.0005218139,0.0009699119,0.00016258043,0.00016471204,0.00017857931,0.0004907066,0.00046778843,0.00012004668],"category_scores_gemma":[0.00005454559,0.0004931754,0.00017088403,0.00034321903,0.00007276004,0.00016354142,0.00018913504,0.00064105686,0.000076156655],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042838135,0.00035524982,0.00003373537,0.055975415,0.00034739217,0.000005665752,0.00021113551,0.000018953384,0.041839648,0.1932182,0.00007528204,0.7078765],"study_design_scores_gemma":[0.00009053631,0.000019320845,0.0000012470381,0.0014989539,0.0002872606,0.000024042258,0.00003225822,0.0000388127,0.0055511855,0.004092057,0.9876837,0.00068061147],"about_ca_topic_score_codex":0.000009209897,"about_ca_topic_score_gemma":0.00000335391,"teacher_disagreement_score":0.98760843,"about_ca_system_score_codex":0.00024830614,"about_ca_system_score_gemma":0.00021399678,"threshold_uncertainty_score":0.999752},"labels":[],"label_agreement":null},{"id":"W1992396342","doi":"10.1002/pmic.201200316","title":"Multiplexed <scp>MRM</scp>‐based quantitation of candidate cancer biomarker proteins in undepleted and non‐enriched human plasma","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"University of British Columbia; Genome British Columbia; Genome Canada","keywords":"Multiplex; Biomarker; Biomarker discovery; Quantitative proteomics; Selected reaction monitoring; Cancer biomarkers; Chemistry; Proteomics; Chromatography; Reproducibility; Immunoassay; Cancer; Computational biology; Biology; Bioinformatics; Mass spectrometry; Tandem mass spectrometry; Biochemistry; Immunology; Antibody","score_opus":0.020911708056761985,"score_gpt":0.29184181216002786,"score_spread":0.2709301041032659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992396342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98224276,0.00004283908,0.015066244,0.00013084579,0.000010006677,0.0019223844,0.000081240956,0.000100942925,0.0004027429],"genre_scores_gemma":[0.862359,0.00003710809,0.13352233,0.00002954244,0.000017827095,0.0037580358,0.000078547884,0.00004408966,0.00015351649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867755,0.000019090943,0.00047292284,0.00038363523,0.00014403193,0.00030278816],"domain_scores_gemma":[0.9989698,0.00008631613,0.0003504479,0.00036545287,0.00013955396,0.000088434754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012568454,0.00022605695,0.00028409032,0.0001354665,0.00010607802,0.00004108725,0.00020071091,0.00019980909,0.00005590453],"category_scores_gemma":[0.00010582053,0.00023087864,0.00005037536,0.00026604175,0.00012264491,0.00016239026,0.000072878734,0.00023711733,0.0000057124407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015466261,0.000094468094,0.015362311,0.0002105055,0.000016191436,6.989961e-7,0.00015229103,0.00016425314,0.9828195,0.00041353446,0.00004624336,0.00070451834],"study_design_scores_gemma":[0.0015872591,0.000032957592,0.007656808,0.00012509566,0.000014580845,0.0000014154737,0.00012596056,0.042255934,0.94473374,0.003119365,0.0001863026,0.00016058693],"about_ca_topic_score_codex":0.0029984803,"about_ca_topic_score_gemma":0.00059074245,"teacher_disagreement_score":0.11988375,"about_ca_system_score_codex":0.00012196277,"about_ca_system_score_gemma":0.00007990588,"threshold_uncertainty_score":0.9414957},"labels":[],"label_agreement":null},{"id":"W1992552872","doi":"10.1139/w2012-058","title":"Metaproteome analysis to determine the metabolically active part of a thermophilic microbial community producing biogas from agricultural biomass","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biogas; Methanogenesis; Biomass (ecology); Anaerobic digestion; Biotechnology; Bioenergy; Biology; Metagenomics; Biogas production; Biofuel; Food science; Pulp and paper industry; Methane; Biochemistry; Ecology; Gene; Engineering","score_opus":0.020665800398395717,"score_gpt":0.24623510804199716,"score_spread":0.22556930764360145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992552872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654543,0.00044974245,0.00063409214,0.0011152473,0.000060904007,0.00016654168,0.00091338385,0.0000073541573,0.00010729809],"genre_scores_gemma":[0.9926796,0.0000088797,0.0067135696,0.00017617921,0.00025174776,0.00002068789,0.000085935244,0.000012188904,0.00005123964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883103,0.00014787156,0.0004893655,0.00013054737,0.000035615794,0.00036553896],"domain_scores_gemma":[0.9983668,0.00013047905,0.0005010557,0.00045144017,0.00024081541,0.00030943527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037033772,0.00016861505,0.00046344407,0.00018565643,0.00022417738,0.00001503114,0.0006654471,0.0001353065,0.00029603782],"category_scores_gemma":[0.00012875273,0.000108354856,0.00027770078,0.0004711901,0.00020341197,0.00007770888,0.000062545056,0.00047025536,0.0000046093355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021953696,0.00003200659,0.0012765871,0.0000036031556,0.0006659216,0.0000010538917,0.0010221088,0.000011024834,0.9959085,0.000049686947,0.00027343485,0.00073413673],"study_design_scores_gemma":[0.00015318418,0.00003187223,0.007332812,0.000016952341,0.00057371455,0.000090652335,0.0003136171,4.5921755e-7,0.9713653,0.00012278145,0.019858593,0.0001400658],"about_ca_topic_score_codex":0.008486751,"about_ca_topic_score_gemma":0.015322442,"teacher_disagreement_score":0.024543187,"about_ca_system_score_codex":0.00012490588,"about_ca_system_score_gemma":0.00016737949,"threshold_uncertainty_score":0.99811584},"labels":[],"label_agreement":null},{"id":"W1993141108","doi":"10.1002/prca.201200013","title":"Plasma proteomics can discriminate isolated early from dual responses in asthmatic individuals undergoing an allergen inhalation challenge","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université Laval; Vancouver General Hospital; Vancouver Coastal Health Research Institute; Vancouver Coastal Health; St. Paul's Hospital; McMaster University; Prevention of Organ Failure; University of British Columbia Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Asthma; Inhalation; Allergen; Proteome; Immunology; Medicine; Proteomics; Allergy; Bioinformatics; Biology; Anesthesia","score_opus":0.06017133882629269,"score_gpt":0.3582062063474086,"score_spread":0.29803486752111585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993141108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8754684,0.00008361298,0.11831086,0.0013759936,0.000040722676,0.0028743674,0.0005075495,0.0004165624,0.000921976],"genre_scores_gemma":[0.7535077,0.00031473069,0.23730803,0.000089395035,0.00040089313,0.007550777,0.00060089846,0.00010357096,0.00012403578],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960055,0.0001955429,0.0017653246,0.0009275959,0.00032532032,0.0007807659],"domain_scores_gemma":[0.99643934,0.0008428499,0.0008072011,0.0012959254,0.00013251913,0.00048214235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001039769,0.00046996193,0.00059804803,0.00016959643,0.00036899553,0.000114584574,0.00067352405,0.00067198783,0.00012774112],"category_scores_gemma":[0.00034345657,0.00050703785,0.00017914017,0.00041776508,0.00023046156,0.0005873266,0.0003209882,0.0011544683,0.000098873395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016186528,0.015078526,0.4858824,0.0006995035,0.00074453553,0.000012404694,0.009966654,0.00084845035,0.26693437,0.15660144,0.0001826501,0.06143042],"study_design_scores_gemma":[0.011656836,0.0012321202,0.1032953,0.0010052364,0.00069860654,0.00006331164,0.0026514994,0.03946619,0.2110894,0.6068638,0.015028749,0.0069489926],"about_ca_topic_score_codex":0.00026714045,"about_ca_topic_score_gemma":0.00031033182,"teacher_disagreement_score":0.4502623,"about_ca_system_score_codex":0.00025238743,"about_ca_system_score_gemma":0.00019345719,"threshold_uncertainty_score":0.9997381},"labels":[],"label_agreement":null},{"id":"W1993336170","doi":"10.1016/j.bioorg.2008.08.005","title":"Fluorescent isotope-coded affinity tag (FCAT) I: Design and synthesis","year":2008,"lang":"en","type":"article","venue":"Bioorganic Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Fluorophore; Fluorescence; Reagent; Cysteine; Isotope; Reactivity (psychology); Linker; Combinatorial chemistry; Biochemistry; Enzyme; Organic chemistry; Computer science","score_opus":0.023332850957658195,"score_gpt":0.2307123157429878,"score_spread":0.20737946478532962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993336170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746319,0.000531812,0.016702864,0.0003971259,0.000013261464,0.00027830538,0.000056279747,0.0006897637,0.0066986755],"genre_scores_gemma":[0.9530218,0.0007501543,0.044437412,0.0000533547,0.00013198018,0.0002050941,0.000019471852,0.00005200329,0.0013287221],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988655,0.000007706775,0.0002537131,0.00044911483,0.00014145082,0.0002825365],"domain_scores_gemma":[0.9989786,0.0001113539,0.000117907286,0.0005814004,0.000048915987,0.00016179167],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000076291064,0.00023516985,0.00021918147,0.000011378915,0.0002517281,0.000021418633,0.00029828266,0.00022544932,0.0010951526],"category_scores_gemma":[0.00012791937,0.00024342873,0.0000612813,0.00011560754,0.00016811192,0.00005239774,0.0001449465,0.00024439214,0.000032019438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018620072,0.000112819806,0.00036113226,0.00008237543,0.000016085294,0.0000093398885,0.000038015707,0.0000014229021,0.99695665,0.00003738768,0.0016005468,0.0007656131],"study_design_scores_gemma":[0.00022872744,0.000003842993,0.000054568438,0.00003402203,0.00002058023,0.00012348576,0.000033269233,0.0001143551,0.9940382,0.00039530246,0.0046659084,0.00028772253],"about_ca_topic_score_codex":0.000011440443,"about_ca_topic_score_gemma":2.7725218e-7,"teacher_disagreement_score":0.027734548,"about_ca_system_score_codex":0.000104348626,"about_ca_system_score_gemma":0.00008779601,"threshold_uncertainty_score":0.99981797},"labels":[],"label_agreement":null},{"id":"W1993445266","doi":"10.1016/j.tmrv.2005.08.006","title":"Proteomics: Applications Relevant to Transfusion Medicine","year":2005,"lang":"en","type":"review","venue":"Transfusion Medicine Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteomics; Transfusion medicine; Proteome; Computational biology; Computer science; Data science; Bioinformatics; Medicine; Biology; Immunology; Blood transfusion; Genetics","score_opus":0.06536149455685572,"score_gpt":0.3935350093596292,"score_spread":0.32817351480277346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993445266","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.1455815e-7,0.8170158,0.15911159,0.0021095602,0.00007759858,0.010857692,0.00009684297,0.00044442315,0.010285773],"genre_scores_gemma":[3.7483662e-8,0.9261745,0.04260848,0.00047451103,0.0029776024,0.02375497,0.0007132838,0.00025449466,0.0030420811],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929363,0.00016702953,0.0037085812,0.0017515344,0.0006908078,0.00074572023],"domain_scores_gemma":[0.9953726,0.00029444913,0.0009593388,0.0024706456,0.00016849508,0.00073449966],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0013107137,0.0014290523,0.005305421,0.0004859855,0.00041374943,0.000017214423,0.0014823714,0.0008220347,0.0059604845],"category_scores_gemma":[0.00017242623,0.0009518661,0.0008877913,0.001483685,0.00032376463,0.00010154249,0.00009717827,0.0016790179,0.0007228916],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010627613,0.0000881669,3.7470244e-7,0.021216756,0.000032036165,0.0000027257677,0.00015139433,5.6413444e-7,0.0017679471,0.0009108951,0.005519588,0.97029895],"study_design_scores_gemma":[0.0004710649,0.00012281389,5.025053e-8,0.06320162,0.0014121813,0.00010108237,0.000026691507,0.00000417207,0.00011096467,0.00040695633,0.9333132,0.0008291892],"about_ca_topic_score_codex":0.00026766624,"about_ca_topic_score_gemma":0.0001434724,"teacher_disagreement_score":0.9694697,"about_ca_system_score_codex":0.0004101692,"about_ca_system_score_gemma":0.00018831348,"threshold_uncertainty_score":0.9998459},"labels":[],"label_agreement":null},{"id":"W1993548875","doi":"10.1021/pr500352e","title":"Integrating Meta-Analysis of Microarray Data and Targeted Proteomics for Biomarker Identification: Application in Breast Cancer","year":2014,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Canada Research Chairs; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Biomarker; Proteome; Biomarker discovery; Proteomics; Cancer; Transcriptome; Biology; Computational biology; Cancer biomarkers; Tissue microarray; Gene expression profiling; Bioinformatics; Oncology; Cancer research; Gene expression; Gene; Medicine; Genetics","score_opus":0.25629935231140344,"score_gpt":0.5044482529406321,"score_spread":0.24814890062922867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993548875","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005000732,0.84838593,0.14526859,0.00045296762,0.000010094301,0.0031917472,0.0026032731,0.000011490685,0.000025907128],"genre_scores_gemma":[0.0003183057,0.90379125,0.0899268,0.0000037160994,0.00013941477,0.0051119416,0.0004904246,0.0000716481,0.00014650954],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958285,0.00024686253,0.0023259956,0.0006591539,0.0005897887,0.0003497184],"domain_scores_gemma":[0.99367565,0.0005927404,0.0028737818,0.0013965422,0.0013401099,0.00012117888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006547902,0.00032576604,0.0029320365,0.0013442566,0.00012781582,0.00009894337,0.0016742622,0.00039336056,0.000090414636],"category_scores_gemma":[0.0004044101,0.00024065224,0.0009058017,0.0019466649,0.00020578847,0.00022075856,0.00037660394,0.0011469786,9.134991e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020844652,0.00051660964,0.00010166182,0.054560933,0.07389304,0.0000033463346,0.00014272874,0.000027195296,0.13961071,0.0011024603,0.0006771076,0.7291558],"study_design_scores_gemma":[0.0008961972,0.000088974266,0.000026653724,0.0048271995,0.1606597,0.00015244761,0.00018116877,0.010085866,0.012745282,0.0052096574,0.803906,0.0012208449],"about_ca_topic_score_codex":0.000108814405,"about_ca_topic_score_gemma":0.00004222411,"teacher_disagreement_score":0.8032289,"about_ca_system_score_codex":0.0002845083,"about_ca_system_score_gemma":0.00053542934,"threshold_uncertainty_score":0.9813514},"labels":[],"label_agreement":null},{"id":"W1993864534","doi":"10.1016/j.ab.2006.03.037","title":"Mass spectrometric quantitation of C-reactive protein using labeled tryptic peptides","year":2006,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Chromatography; Chemistry; Mass spectrometry","score_opus":0.014924874670179632,"score_gpt":0.2865720853827217,"score_spread":0.2716472107125421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993864534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96485907,0.00008066441,0.021934967,0.00006199893,0.0000028355212,0.0001060512,0.00003414389,0.000079184385,0.012841062],"genre_scores_gemma":[0.93519294,0.000002944276,0.063722864,0.0000053646086,0.00008163157,0.000030843294,0.000063200474,0.000019587485,0.0008806124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989036,0.000005176127,0.00035779396,0.00030843916,0.00019816798,0.00022685034],"domain_scores_gemma":[0.99921435,0.000063086154,0.0002050152,0.00033233382,0.0001265591,0.000058664653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006588356,0.0001597271,0.00022398947,0.000070012014,0.00005768947,0.000018775489,0.00016987974,0.0001590572,0.00017048717],"category_scores_gemma":[0.00011479586,0.00016437916,0.00011477343,0.00051806367,0.00012843683,0.000056135843,0.000032415057,0.00019018727,0.0000072563944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017477898,0.000111869434,0.0006333866,0.000111428315,0.000022210728,0.0000022556524,0.0000020861037,0.000032412707,0.99085337,0.008117976,0.000025408237,0.00007011631],"study_design_scores_gemma":[0.00019022086,0.000012926132,0.000028892251,0.00005661148,0.00005041028,0.0000043068285,0.000042930264,0.0047246087,0.9792944,0.015371876,0.000046330508,0.00017644474],"about_ca_topic_score_codex":0.000085304586,"about_ca_topic_score_gemma":6.91337e-7,"teacher_disagreement_score":0.041787896,"about_ca_system_score_codex":0.00014062424,"about_ca_system_score_gemma":0.000055474462,"threshold_uncertainty_score":0.6703188},"labels":[],"label_agreement":null},{"id":"W1994630830","doi":"10.1016/j.plantsci.2006.05.010","title":"Phosphoproteomic profiling of wheat callus labelled in vivo","year":2006,"lang":"en","type":"article","venue":"Plant Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Callus; Proteomics; Biochemistry; Phosphorylation; Somatic embryogenesis; Protein phosphorylation; Kinase; Proteome; In vivo; Cell biology; Protein kinase A; Tissue culture; Botany; In vitro; Genetics","score_opus":0.008784309024239396,"score_gpt":0.2464823091061384,"score_spread":0.23769800008189898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994630830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840452,0.00003969833,0.003517099,0.000039558254,0.000010707092,0.00015031273,0.00007618154,0.000053112468,0.0120681515],"genre_scores_gemma":[0.939817,0.000015718608,0.059801165,0.00000852194,0.000014892296,0.000071444694,0.0000056344043,0.0000050823824,0.00026053275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919564,0.0000017956454,0.00019867145,0.00023260564,0.00016444683,0.0002068456],"domain_scores_gemma":[0.99962366,0.000023785395,0.00007865509,0.00021456907,0.000030614516,0.00002870277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016004601,0.000069954636,0.00010281853,0.000054016302,0.00007661036,0.000011576135,0.00030184252,0.000036127214,0.000063662555],"category_scores_gemma":[0.000020027328,0.00006537203,0.00001717816,0.00030479635,0.000180367,0.000082684885,0.00006306408,0.00009532757,0.0000031402858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007441656,0.000031299125,0.00396966,0.00001678402,2.621584e-7,0.000001552134,0.0000143392035,0.00017483116,0.9895862,0.0060846577,0.000020636404,0.00009237291],"study_design_scores_gemma":[0.00012419355,0.0000042034435,0.00008346266,0.00003691806,0.000001121498,0.0000059399986,0.000013604485,0.00344053,0.9920473,0.0039090333,0.00025413465,0.00007953354],"about_ca_topic_score_codex":0.0004153506,"about_ca_topic_score_gemma":0.000037046408,"teacher_disagreement_score":0.056284063,"about_ca_system_score_codex":0.00006525291,"about_ca_system_score_gemma":0.00007140513,"threshold_uncertainty_score":0.2665794},"labels":[],"label_agreement":null},{"id":"W1995151961","doi":"10.1002/pmic.201100568","title":"<scp>MRM</scp>‐based multiplexed quantitation of 67 putative cardiovascular disease biomarkers in human plasma","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure; University of British Columbia; St. Paul's Hospital; Genome British Columbia; University of Victoria","funders":"","keywords":"Multiplex; Chromatography; Triple quadrupole mass spectrometer; Chemistry; Selected reaction monitoring; Mass spectrometry; Peptide; Biomarker; Biomarker discovery; Linear range; Detection limit; Tandem mass spectrometry; Biology; Proteomics; Bioinformatics; Biochemistry","score_opus":0.02609283398771645,"score_gpt":0.2877460057257604,"score_spread":0.261653171738044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995151961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92142206,0.00031296624,0.07633342,0.000024533729,0.000019274607,0.00088948116,0.00014969757,0.00011717703,0.00073137094],"genre_scores_gemma":[0.8221617,0.000020736246,0.17663334,0.000010484681,0.000043063577,0.00088776124,0.0001671098,0.00003982908,0.00003599989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869764,0.00003825711,0.00039766735,0.00030215547,0.00022310279,0.00034116267],"domain_scores_gemma":[0.99887925,0.00012352869,0.00023270407,0.0005185572,0.00009131058,0.00015462292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031771662,0.00020366142,0.00027538577,0.00011745569,0.0000803904,0.000015279105,0.00021267172,0.00012697814,0.00001168759],"category_scores_gemma":[0.0002743593,0.0002236957,0.00022460094,0.00023424046,0.00011746668,0.00019046295,0.00005866175,0.00019794542,0.0000068283803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005676527,0.00038415813,0.027056856,0.0003608115,0.0002185069,0.0000026759494,0.0005188698,0.00645662,0.9600192,0.0038568208,0.000033665325,0.0010350712],"study_design_scores_gemma":[0.0011186848,0.00001606117,0.0014498393,0.000082828876,0.00007554906,0.0000011057786,0.0002379601,0.01314757,0.97952193,0.0028005925,0.0013901127,0.00015776485],"about_ca_topic_score_codex":0.000091699934,"about_ca_topic_score_gemma":0.0000037450416,"teacher_disagreement_score":0.100299925,"about_ca_system_score_codex":0.00013559483,"about_ca_system_score_gemma":0.000057074783,"threshold_uncertainty_score":0.91220456},"labels":[],"label_agreement":null},{"id":"W1995228262","doi":"10.1021/bc050051r","title":"Micelles as Intermediates in the Preparation of Protein−Liposome Conjugates","year":2006,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Inimex Pharmaceuticals (Canada)","funders":"","keywords":"Chemistry; Micelle; Conjugate; Liposome; Chromatography; Combinatorial chemistry; Organic chemistry; Biochemistry; Aqueous solution","score_opus":0.00640115655553502,"score_gpt":0.2617939062279547,"score_spread":0.25539274967241965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995228262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714857,0.00036273696,0.00006746006,0.0002673044,0.0000057270145,0.00032893955,0.00004306859,0.00008150255,0.027357599],"genre_scores_gemma":[0.99637383,0.000045926015,0.0014353336,0.00003130322,0.0001239667,0.00060338224,0.00015559803,0.000019199886,0.0012114721],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893934,0.000009430813,0.00042298445,0.0002808651,0.00014428674,0.00020307543],"domain_scores_gemma":[0.999189,0.000058651953,0.00023218006,0.00043720895,0.00005627279,0.000026671978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011383978,0.00017615897,0.00017288618,0.000018666527,0.000056444354,0.000031062922,0.00039382817,0.00015040596,0.0002491738],"category_scores_gemma":[0.000033548484,0.00014342467,0.00007370431,0.00012343716,0.00017813814,0.000070541,0.000056677556,0.00018439504,0.000014830807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035454137,0.00011841191,0.00074003154,0.0001890733,0.0000053369363,0.000002512538,0.000085122745,0.000010837362,0.9969809,0.0016069143,0.00011282984,0.000112578346],"study_design_scores_gemma":[0.00025891754,0.000012304309,0.000037261598,0.00009409673,0.000008020493,0.000010070196,0.0001960756,0.00005830291,0.9771146,0.016489588,0.0055622263,0.0001585066],"about_ca_topic_score_codex":0.00020071164,"about_ca_topic_score_gemma":0.000011875958,"teacher_disagreement_score":0.026146127,"about_ca_system_score_codex":0.000040051604,"about_ca_system_score_gemma":0.000041940868,"threshold_uncertainty_score":0.5848688},"labels":[],"label_agreement":null},{"id":"W1995229312","doi":"10.1142/s0219720005001247","title":"SPIDER: SOFTWARE FOR PROTEIN IDENTIFICATION FROM SEQUENCE TAGS WITH <i>DE NOVO</i> SEQUENCING ERROR","year":2005,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software; Identification (biology); Sequence (biology); Computational biology; Computer science; Sequence assembly; Protein sequencing; DNA sequencing; Protein methods; Biology; Peptide sequence; Genetics; Programming language; Gene; Transcriptome","score_opus":0.021062959777406715,"score_gpt":0.2886165250035087,"score_spread":0.26755356522610196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995229312","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31585246,0.000059268223,0.6832618,0.00053889817,0.0000066127077,0.000105916864,0.00011802271,0.000016362446,0.000040613253],"genre_scores_gemma":[0.38274175,0.000014092249,0.616873,0.00016520714,0.00008021114,0.000024903566,0.00007869518,0.0000055717587,0.000016545633],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992181,0.0000052518876,0.0004969251,0.0000801169,0.0000789159,0.00012069588],"domain_scores_gemma":[0.9988296,0.000099058445,0.0006289744,0.00007846984,0.00030600812,0.000057857967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015468664,0.000093422685,0.00015094907,0.00004530614,0.000103925326,0.000034620858,0.00012635518,0.00007651613,0.000013516156],"category_scores_gemma":[0.000055995115,0.000074482065,0.00003814614,0.000056520337,0.00007203313,0.0001943652,0.000020000478,0.0001277519,0.0000014141085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049587357,0.0002445225,0.002711826,0.0004941821,0.0003012584,0.000005732489,0.0019753682,0.07340942,0.64759517,0.0464915,0.00046258018,0.22581258],"study_design_scores_gemma":[0.0028651727,0.0006378797,0.00024170903,0.0004396632,0.000120779114,0.0008416473,0.0008891415,0.43557617,0.22446072,0.31318498,0.020027924,0.0007142203],"about_ca_topic_score_codex":0.000004250966,"about_ca_topic_score_gemma":0.0000022144004,"teacher_disagreement_score":0.42313442,"about_ca_system_score_codex":0.00009126718,"about_ca_system_score_gemma":0.00016168822,"threshold_uncertainty_score":0.30372906},"labels":[],"label_agreement":null},{"id":"W1995238211","doi":"10.1021/pr700836q","title":"Evaluation of Data-Dependent versus Targeted Shotgun Proteomic Approaches for Monitoring Transcription Factor Expression in Breast Cancer","year":2008,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shotgun; Shotgun proteomics; Transcription factor; Breast cancer; Computational biology; Proteomics; Cancer research; Oncology; Biology; Medicine; Cancer; Genetics; Gene","score_opus":0.42787174643899395,"score_gpt":0.46695199090026906,"score_spread":0.039080244461275115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995238211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98560905,0.00059844315,0.011375547,0.00028723112,0.000050121627,0.0017351013,0.0002577425,0.000014130341,0.000072607065],"genre_scores_gemma":[0.95527506,0.00055055413,0.042507526,3.8785015e-7,0.00032339722,0.0012604907,0.000019060297,0.000029523078,0.000034011788],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99695575,0.0001523868,0.00065519114,0.00029607958,0.0016190484,0.00032153068],"domain_scores_gemma":[0.99767214,0.00009952727,0.00040294783,0.00044603084,0.0012843206,0.000095015734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003291504,0.00013464363,0.0002767856,0.00028665506,0.00015156966,0.000019427334,0.0006527363,0.0001585139,0.00012382456],"category_scores_gemma":[0.00020892578,0.0001172366,0.00008167023,0.00027214526,0.0000892668,0.00057566713,0.000097518656,0.000698723,6.4846216e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010992534,0.00021698528,0.0012381586,0.00018203467,0.000034535085,0.0000016497651,0.00027305214,0.00051703944,0.9837779,0.000011825881,0.000024499048,0.012623114],"study_design_scores_gemma":[0.0026387635,0.000095238334,0.0018271176,0.0003244433,0.000028134931,0.000021540249,0.00025324323,0.005014715,0.9884403,0.0011663978,0.00006835306,0.000121766745],"about_ca_topic_score_codex":0.00004756913,"about_ca_topic_score_gemma":0.000004832514,"teacher_disagreement_score":0.03113198,"about_ca_system_score_codex":0.0006481061,"about_ca_system_score_gemma":0.00062484393,"threshold_uncertainty_score":0.478077},"labels":[],"label_agreement":null},{"id":"W1995250026","doi":"10.1016/j.jchromb.2012.09.035","title":"Chromatographic behaviour of peptides following dimethylation with H2/D2-formaldehyde: Implications for comparative proteomics","year":2012,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Deuterium; Chromatography; Peptide; Isotope; Resolution (logic); Isobaric labeling; Retention time; Quantitative proteomics; Proteome; Mass spectrometry; Proteomics; Stable isotope ratio; Analytical Chemistry (journal); Tandem mass spectrometry; Protein mass spectrometry; Biochemistry","score_opus":0.024780076558371583,"score_gpt":0.3108922218917872,"score_spread":0.28611214533341567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995250026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88526624,0.0005952825,0.112899475,0.00008351049,0.000028703604,0.0004811118,0.00006420778,0.000049467493,0.00053201127],"genre_scores_gemma":[0.7875708,0.00005796141,0.21200068,0.000009807708,0.000094238676,0.00021028488,0.000022755255,0.000027764618,0.0000057282928],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985607,0.000015249431,0.0007595053,0.00014063904,0.00021361587,0.00031024445],"domain_scores_gemma":[0.9976897,0.000111565954,0.0013209538,0.00031399183,0.00040222346,0.00016155612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030169488,0.00021914123,0.00046961487,0.0002891644,0.00018859918,0.00002646109,0.00028800764,0.00012240074,0.0000116541905],"category_scores_gemma":[0.000017597664,0.00018172666,0.00047395148,0.0005530615,0.00012618864,0.0005913498,0.000027210854,0.00023123217,3.5154346e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015187901,0.00050860026,0.46008408,0.00017885213,0.00037554323,4.6051406e-7,0.0005554882,0.000053662425,0.5308907,0.0066725886,0.00018918421,0.00033897345],"study_design_scores_gemma":[0.0016198144,0.00034277243,0.091634244,0.00040591497,0.0004941356,0.00015960603,0.00059554575,0.000045736415,0.89676183,0.005722294,0.0017710096,0.00044709517],"about_ca_topic_score_codex":0.0000053919316,"about_ca_topic_score_gemma":0.0000022575698,"teacher_disagreement_score":0.36844984,"about_ca_system_score_codex":0.000036146168,"about_ca_system_score_gemma":0.0000723555,"threshold_uncertainty_score":0.74105984},"labels":[],"label_agreement":null},{"id":"W1995671308","doi":"10.1074/mcp.m300110-mcp200","title":"Depth of Proteome Issues","year":2004,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"National Institute of General Medical Sciences","keywords":"Proteome; Computational biology; Chemistry; Computer science; Biology; Biochemistry","score_opus":0.00889946133140648,"score_gpt":0.2556932934019867,"score_spread":0.24679383207058023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995671308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6124663,0.00035519607,0.38234183,0.0002869392,0.000011530284,0.0006465272,0.000019357733,0.00017512444,0.0036972582],"genre_scores_gemma":[0.62302804,0.000049704064,0.3760067,0.00004484423,0.000043687836,0.0004528038,0.000044099463,0.00006139997,0.00026876293],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985064,0.000012539623,0.00044195258,0.00042870495,0.0002656082,0.00034476537],"domain_scores_gemma":[0.99867547,0.0000066549615,0.0002526695,0.00084063056,0.00011720625,0.000107371045],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001237099,0.0002655141,0.00030312833,0.00006759408,0.00009084543,0.000026732312,0.0004692293,0.00021457882,0.00009595472],"category_scores_gemma":[0.00003954988,0.00028303897,0.00018131317,0.00021100134,0.00014121151,0.00008209651,0.00014848783,0.00030877194,0.00003100429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018432369,0.00012454044,0.000059045935,0.00012483583,0.000024982579,0.00002185222,0.00006599371,0.0007026989,0.9792423,0.019184934,0.0000064711953,0.00042389307],"study_design_scores_gemma":[0.00047608212,0.000039830236,0.0000040766176,0.00007649576,0.000022279977,0.000011963601,0.000024989407,0.00006735572,0.942806,0.0541731,0.002009707,0.00028811424],"about_ca_topic_score_codex":0.000083626735,"about_ca_topic_score_gemma":0.0000030936058,"teacher_disagreement_score":0.036436316,"about_ca_system_score_codex":0.000105869,"about_ca_system_score_gemma":0.00009300919,"threshold_uncertainty_score":0.99996215},"labels":[],"label_agreement":null},{"id":"W1996372164","doi":"10.1016/j.jprot.2013.10.014","title":"Microwave-assisted acid hydrolysis of proteins combined with peptide fractionation and mass spectrometry analysis for characterizing protein terminal sequences","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sanofi Pasteur; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Peptide; Chemistry; Peptide sequence; Chromatography; Tandem mass spectrometry; Protein sequencing; Mass spectrometry; Bottom-up proteomics; Hydrolysate; Biochemistry; Protein mass spectrometry; Hydrolysis","score_opus":0.011448848508972286,"score_gpt":0.24949670552461892,"score_spread":0.23804785701564662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996372164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65908724,0.000027619797,0.33970597,0.0003238496,0.0000041083636,0.0007461342,0.000023925819,0.000014948737,0.000066173365],"genre_scores_gemma":[0.5431131,0.000012929843,0.45636624,0.000010148286,0.000046065612,0.0003391413,0.000013090152,0.00001477835,0.00008450107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986281,0.000016552189,0.00069526385,0.00021784296,0.00024726853,0.00019497513],"domain_scores_gemma":[0.99743766,0.000043883418,0.0016899705,0.00022270782,0.00051248516,0.000093268834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025688726,0.00019266183,0.00048643595,0.00032502826,0.0001277708,0.00007528737,0.00021479928,0.00012460485,0.000068710295],"category_scores_gemma":[0.00006850539,0.00015808623,0.00019294882,0.00043131958,0.00010036132,0.0004475127,0.000027026512,0.00029628095,5.6114396e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025239118,0.00009631829,0.003476937,0.00014841296,0.00038620274,0.0000022616678,0.000052002928,0.000025154774,0.9947025,0.00012127645,0.0000034700731,0.000733044],"study_design_scores_gemma":[0.00068202073,0.00036576152,0.0022982217,0.0001342378,0.00033007818,0.000067691835,0.00013792542,0.0011891099,0.9906342,0.003933958,0.000040830106,0.00018595929],"about_ca_topic_score_codex":0.000023727785,"about_ca_topic_score_gemma":0.000007092226,"teacher_disagreement_score":0.11666027,"about_ca_system_score_codex":0.00012792087,"about_ca_system_score_gemma":0.00009411714,"threshold_uncertainty_score":0.6446569},"labels":[],"label_agreement":null},{"id":"W1996792890","doi":"10.1385/mb:22:3:301","title":"Searching Sequence Databases via De Novo Peptide Sequencing by Tandem Mass Spectrometry","year":2002,"lang":"en","type":"article","venue":"Molecular Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Sequence database; Sequence (biology); Tandem mass spectrometry; Database; Computational biology; Mass spectrometry; Peptide sequence; Computer science; Peptide; Sequence analysis; Biology; Chemistry; Genetics; DNA; Biochemistry; Chromatography; Gene","score_opus":0.02333560432786018,"score_gpt":0.28032669673676697,"score_spread":0.2569910924089068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996792890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2754851,0.00049258035,0.71936303,0.0014915601,0.000006757014,0.00010930828,0.000054494463,0.00065501843,0.0023421429],"genre_scores_gemma":[0.6898534,0.00033151297,0.30911857,0.00023884204,0.000021086746,0.00007679935,0.000049642727,0.000043141998,0.00026697566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985014,0.000017263137,0.00023653307,0.000525754,0.00015338304,0.0005656428],"domain_scores_gemma":[0.9989163,0.000033318527,0.00010723559,0.00082649343,0.000025845842,0.000090771944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010551542,0.0002173015,0.00019970835,0.00013003426,0.00016668673,0.000024172577,0.00053812854,0.0003178506,0.00033595777],"category_scores_gemma":[0.000096533324,0.0002469258,0.000070328126,0.00030930032,0.0002219904,0.000070651884,0.00018951925,0.0007478673,0.000043999233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015524824,0.000023925202,0.00010134356,0.000020194142,0.000017567429,0.000116549476,0.0000152040975,0.000030289944,0.98949105,0.0067612473,0.00013049788,0.003290612],"study_design_scores_gemma":[0.00013406697,0.000020384308,5.381369e-7,0.00002838731,0.000009714989,0.0002747239,0.000046302597,0.0030430248,0.9779618,0.009501597,0.008719327,0.00026013507],"about_ca_topic_score_codex":0.00008243,"about_ca_topic_score_gemma":0.0000054126203,"teacher_disagreement_score":0.41436833,"about_ca_system_score_codex":0.0003703584,"about_ca_system_score_gemma":0.000026006099,"threshold_uncertainty_score":0.9999983},"labels":[],"label_agreement":null},{"id":"W1996980605","doi":"10.1016/j.ejphar.2004.07.039","title":"Proteomic approaches in brain research and neuropharmacology","year":2004,"lang":"en","type":"review","venue":"European Journal of Pharmacology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Neuropharmacology; Neuroscience; Brain research; Medicine; Biology","score_opus":0.16994612181493926,"score_gpt":0.43772254528897414,"score_spread":0.26777642347403485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996980605","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010607409,0.9943267,0.0002199745,0.0006265739,0.00013860158,0.00072384474,0.000020298537,0.000033002812,0.0028502806],"genre_scores_gemma":[0.0005611416,0.99395984,0.0041328194,0.00007719266,0.00069981854,0.00010481956,0.000007931433,0.00012849426,0.00032792182],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965421,0.0011015505,0.0012426747,0.00043782406,0.00018588106,0.0004899776],"domain_scores_gemma":[0.998123,0.0004832518,0.0009198918,0.00019364656,0.00011484264,0.00016538809],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022372957,0.00035196485,0.0011599432,0.0005905482,0.00010354347,0.00003007286,0.0008943681,0.00016051962,0.0002575608],"category_scores_gemma":[0.00010046599,0.0003081499,0.00019658162,0.00037976372,0.00041134673,0.000084668616,0.0003930119,0.0033764648,0.00003387856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001417516,0.0005954171,0.000005092445,0.0151244765,0.0002386034,0.0030967142,0.00015973147,0.000033500302,0.01994093,0.00079008745,0.004185026,0.95568866],"study_design_scores_gemma":[0.0010706433,0.00022493399,0.0000012152666,0.0023878997,0.0001544342,0.0015058967,0.000010079385,0.0000042242004,0.0016877287,0.00048907165,0.9922096,0.00025423276],"about_ca_topic_score_codex":0.0000013233497,"about_ca_topic_score_gemma":1.6808762e-7,"teacher_disagreement_score":0.9880246,"about_ca_system_score_codex":0.00029635592,"about_ca_system_score_gemma":0.00040568365,"threshold_uncertainty_score":0.99993706},"labels":[],"label_agreement":null},{"id":"W1996998512","doi":"10.1111/j.1743-6109.2007.00470.x","title":"Is There a Role for Proteomics in Peyronie's Disease?","year":2007,"lang":"en","type":"review","venue":"The Journal of Sexual Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; St Joseph's Health Care; Western University","funders":"","keywords":"Peyronie's disease; Proteomics; Disease; Medicine; Prostate cancer; Bioinformatics; Pathology; Internal medicine; Cancer; Biology; Gene","score_opus":0.07261350506168966,"score_gpt":0.40593452055320706,"score_spread":0.3333210154915174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996998512","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010441704,0.9897318,0.008114461,0.0007004055,0.00003503826,0.000819665,0.00005900996,0.00001385912,0.00042136604],"genre_scores_gemma":[0.000043903096,0.99353063,0.004161664,0.00010554929,0.001159444,0.0001347636,0.00001927686,0.00006170683,0.0007830735],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833834,0.00002585032,0.0009875027,0.00015052,0.00025703662,0.0002407418],"domain_scores_gemma":[0.9977813,0.00040072453,0.0011364822,0.0004276656,0.000117338204,0.00013652659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091514987,0.00028011782,0.0010090017,0.00011649232,0.00006412485,0.000006302829,0.00067859975,0.00018238278,0.00013111068],"category_scores_gemma":[0.00014204341,0.00014955015,0.00007757404,0.00017781228,0.00012734263,0.000041514166,0.000055590863,0.00086223194,0.0000025250629],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016634408,0.00010045025,0.0000055928667,0.011017219,0.00011484168,0.000013462813,0.0003142436,0.0000033050212,0.0006563646,0.0003511395,0.0015696123,0.98568743],"study_design_scores_gemma":[0.00038785295,0.00023949055,8.28993e-7,0.010993211,0.0007065909,0.00010114806,0.00021755058,0.00001130748,0.00011660086,0.0050502727,0.9820093,0.00016585962],"about_ca_topic_score_codex":0.000010446161,"about_ca_topic_score_gemma":0.0000028602365,"teacher_disagreement_score":0.98552155,"about_ca_system_score_codex":0.00017200394,"about_ca_system_score_gemma":0.00021569738,"threshold_uncertainty_score":0.6098478},"labels":[],"label_agreement":null},{"id":"W1997352005","doi":"10.1158/1538-7445.am10-4574","title":"Abstract 4574: Mining the proteome of breast cancer cell lines and nipple aspirate fluid in the quest for novel breast cancer biomarkers","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Cancer; Internal medicine; Oncology; Proteome; Cancer biomarkers; Medicine; Cancer research; Chemistry; Pathology; Bioinformatics; Biology","score_opus":0.05292104279474864,"score_gpt":0.39501155990360337,"score_spread":0.34209051710885474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997352005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862629,0.0010313308,0.00013556493,0.007615079,0.000044331744,0.0013628716,0.0025772694,0.000030657095,0.00094000134],"genre_scores_gemma":[0.98683476,0.0011944304,0.0014086497,0.000094786774,0.00042110067,0.009689953,0.000015270394,0.00004644874,0.00029457666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848914,0.000019324463,0.0003041911,0.00039945464,0.00031322028,0.00047464442],"domain_scores_gemma":[0.9986117,0.0002680654,0.00014256818,0.00052239106,0.00037872777,0.00007653382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008543418,0.00017280101,0.00018601227,0.000054894594,0.00029583857,0.000073545205,0.0006457796,0.0001454561,0.00046117953],"category_scores_gemma":[0.000029200406,0.00011142646,0.00005621041,0.00032167372,0.00042699339,0.00012567542,0.00012624796,0.0005903007,7.185249e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015068409,0.00008061681,0.0035985075,0.00029713896,0.000019965579,5.351669e-7,0.0002855899,0.000028112772,0.9862047,0.0001990523,0.0010373272,0.008097783],"study_design_scores_gemma":[0.0010872949,0.000027147447,0.015320251,0.0003825519,0.000024287117,0.00002547492,0.0010390108,0.0006923052,0.9649561,0.0006796033,0.015421034,0.00034492716],"about_ca_topic_score_codex":0.011629586,"about_ca_topic_score_gemma":0.0071772155,"teacher_disagreement_score":0.021248575,"about_ca_system_score_codex":0.00012766042,"about_ca_system_score_gemma":0.00036165037,"threshold_uncertainty_score":0.9949521},"labels":[],"label_agreement":null},{"id":"W1998076024","doi":"10.1139/v06-114","title":"Protein mass measurement combined with mass spectrometric sequencing of protein digests for detection and characterization of protein modifications<sup>1</sup>","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Canada","keywords":"Chemistry; Chromatography; Protein mass spectrometry; Bottom-up proteomics; Mass spectrometry; Sample preparation in mass spectrometry; Tandem mass spectrometry; Tandem mass tag; Electrospray ionization; Peptide mass fingerprinting; Proteomics; Gel electrophoresis; Top-down proteomics; Matrix-assisted laser desorption/ionization; Isobaric labeling; Biochemistry; Quantitative proteomics; Desorption; Organic chemistry","score_opus":0.013106322775843067,"score_gpt":0.202073612189155,"score_spread":0.18896728941331195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998076024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9355393,0.00008447848,0.06297502,0.00013742424,0.0000026065716,0.000809545,0.00009011551,0.0000140878765,0.00034742116],"genre_scores_gemma":[0.9803037,0.0000032479882,0.019006308,0.0000020617333,0.00007436334,0.00032777284,0.000027264432,0.000031064108,0.00022420078],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99872345,0.000009930816,0.0005945136,0.00019090144,0.0002553543,0.00022585924],"domain_scores_gemma":[0.9979698,0.000010615996,0.0008928531,0.00024621445,0.00070304016,0.0001774738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024033843,0.00017184745,0.0002810146,0.00014702698,0.000106182844,0.000030023793,0.00018776197,0.0001354536,0.000023690951],"category_scores_gemma":[0.00008412263,0.00017075415,0.00006722144,0.00032242166,0.000101526304,0.00012987132,0.000005704025,0.00021308505,9.797905e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008269112,0.00002439207,0.00019374794,0.00056341727,0.000026771186,0.000002209866,0.000027719623,0.0001393562,0.9982573,0.00013226258,0.0000010601917,0.0005490692],"study_design_scores_gemma":[0.00062772195,0.00010385067,0.00008529195,0.00047018303,0.000028251066,0.00002223932,0.00006851629,0.0004744732,0.9956921,0.0020834778,0.0001812626,0.00016265389],"about_ca_topic_score_codex":0.00026319106,"about_ca_topic_score_gemma":0.00007009305,"teacher_disagreement_score":0.044764414,"about_ca_system_score_codex":0.00052689214,"about_ca_system_score_gemma":0.0007030374,"threshold_uncertainty_score":0.69631517},"labels":[],"label_agreement":null},{"id":"W1998134042","doi":"10.1007/s11427-012-4290-2","title":"Immunocamouflage of latex surfaces by grafted methoxypoly(ethylene glycol) (mPEG): Proteomic analysis of plasma protein adsorption","year":2012,"lang":"en","type":"article","venue":"Science China Life Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Blood Services; University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; University of British Columbia; Genome British Columbia; Centre for Blood Research, University of British Columbia; Michael Smith Health Research BC; Government of Canada; Canadian Blood Services; Australian Government","keywords":"Ethylene glycol; Chemistry; Adsorption; Protein adsorption; Polymer chemistry; Organic chemistry","score_opus":0.01339673124525473,"score_gpt":0.29359574429960367,"score_spread":0.2801990130543489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998134042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354243,0.00036452108,0.003273769,0.00015012885,0.000036037567,0.0004782591,0.00010513723,0.000087270004,0.0019624496],"genre_scores_gemma":[0.9532643,0.000062440326,0.046249345,0.000010129761,0.000020122623,0.00016308224,0.000012238614,0.000010065184,0.0002082932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99719137,0.0000472883,0.0006437307,0.000585027,0.000910734,0.0006218561],"domain_scores_gemma":[0.9981887,0.000069232294,0.0007726457,0.0005849006,0.00016115737,0.00022340675],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024553367,0.00022921895,0.00045809007,0.0004707233,0.0004448479,0.000050000956,0.0013920699,0.0001094005,0.00021031128],"category_scores_gemma":[0.0003654313,0.00018879765,0.00016240028,0.0053548976,0.0028958602,0.0010431268,0.00023468293,0.00019286605,0.0000046254004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018028948,0.00012466268,0.007385546,0.000035691966,0.000031878946,3.978803e-8,0.00032174747,0.0004094276,0.9894019,0.0016974637,0.000012154845,0.0005615016],"study_design_scores_gemma":[0.00012690066,0.00005885768,0.0038490861,0.00004286178,0.00008223598,9.295797e-7,0.00026276775,0.0058027594,0.9882389,0.0012353403,0.00007343454,0.00022595545],"about_ca_topic_score_codex":0.00038699957,"about_ca_topic_score_gemma":0.000007631142,"teacher_disagreement_score":0.04297558,"about_ca_system_score_codex":0.00007887654,"about_ca_system_score_gemma":0.00028581434,"threshold_uncertainty_score":0.99981767},"labels":[],"label_agreement":null},{"id":"W1998489965","doi":"10.1021/pr0502121","title":"Compositional Characterization of the Cytoskeleton of NK-Like Cells","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cytoskeleton; Cell biology; Actin; Actin cytoskeleton; Biology; Microfilament; Secretion; Chemistry; Cell; Biochemistry","score_opus":0.03235992613622759,"score_gpt":0.3493522995559913,"score_spread":0.3169923734197637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998489965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98895264,0.00003800346,0.00837865,0.0013271794,0.000015646567,0.00028244746,0.000046853896,0.0000057451784,0.0009528527],"genre_scores_gemma":[0.9758666,0.00014565098,0.023104988,0.00001288112,0.00022305484,0.00003068074,0.0000050696117,0.000013500475,0.00059756386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99855304,0.000052165673,0.0004983973,0.000084883344,0.0006560806,0.0001554559],"domain_scores_gemma":[0.99837685,0.00006730287,0.00051299826,0.00024745282,0.0007422282,0.000053143413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006608256,0.00006550914,0.0001659374,0.00010546637,0.00009139531,0.0000111945665,0.000443108,0.00007765719,0.00024930312],"category_scores_gemma":[0.000035509976,0.00004731177,0.00011452206,0.00025889088,0.00015954113,0.00012308109,0.00010527962,0.0005154614,0.0000033612291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005680068,0.00014001265,0.00016914221,0.000112982096,0.000013294812,4.433406e-7,0.000049660775,0.000032678072,0.9974318,0.00066801195,0.00010135985,0.0012238085],"study_design_scores_gemma":[0.00021202932,0.000054854525,0.00039851284,0.00017579409,0.0000049435503,0.000016732798,0.000016763548,0.000117142576,0.9916185,0.0013324193,0.0060103475,0.00004192634],"about_ca_topic_score_codex":0.0000041701323,"about_ca_topic_score_gemma":4.741105e-7,"teacher_disagreement_score":0.014726339,"about_ca_system_score_codex":0.0000983055,"about_ca_system_score_gemma":0.00015399985,"threshold_uncertainty_score":0.27296945},"labels":[],"label_agreement":null},{"id":"W1998725834","doi":"10.1021/pr8009098","title":"Global Quantitative Proteomic Profiling through <sup>18</sup>O-Labeling in Combination with MS/MS Spectra Analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Quantitative proteomics; Chromatography; Fragmentation (computing); Isotopic labeling; Mass spectrometry; Shotgun proteomics; Analytical Chemistry (journal); Elution; Proteomics; Computer science","score_opus":0.06288377554472982,"score_gpt":0.4145891823239326,"score_spread":0.3517054067792028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998725834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87239915,0.00029275534,0.1197173,0.0013498871,0.0000042527154,0.0012737873,0.000019842466,0.00004648151,0.004896522],"genre_scores_gemma":[0.63559914,0.0001927253,0.36386174,0.0000129030095,0.000081195096,0.00015740689,0.000009327067,0.000018273971,0.00006726385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99687076,0.00014691803,0.0008432726,0.00040174692,0.0011217671,0.00061552494],"domain_scores_gemma":[0.9978026,0.00012320891,0.0005193566,0.00040164735,0.0010140906,0.0001390657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019139637,0.00023159754,0.00053107284,0.00050840474,0.00024223313,0.00013432805,0.00059094495,0.00017968858,0.00013519534],"category_scores_gemma":[0.00030558315,0.00019172963,0.00017246343,0.0030200277,0.00015753246,0.0005722615,0.000067348985,0.0013559721,0.0000061820615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003539875,0.0031339838,0.053152602,0.0005456898,0.0012102749,0.00037360683,0.0020773367,0.049028788,0.8012117,0.080800354,0.00017716862,0.004748593],"study_design_scores_gemma":[0.0039091506,0.002299759,0.0032570548,0.00094519136,0.00023353467,0.0001245438,0.0012094053,0.031972613,0.69524366,0.25987002,0.00023028372,0.0007048087],"about_ca_topic_score_codex":0.00013055309,"about_ca_topic_score_gemma":0.000021478858,"teacher_disagreement_score":0.24414444,"about_ca_system_score_codex":0.00084904226,"about_ca_system_score_gemma":0.0003630947,"threshold_uncertainty_score":0.78185076},"labels":[],"label_agreement":null},{"id":"W1998936881","doi":"10.1021/ac020105f","title":"High-Throughput Global Peptide Proteomic Analysis by Combining Stable Isotope Amino Acid Labeling and Data-Dependent Multiplexed-MS/MS","year":2002,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Isobaric labeling; Peptide; Lysine; Tandem mass spectrometry; Tandem mass tag; Amino acid; Mass spectrometry; Phosphopeptide; Peptide sequence; Chromatography; Quantitative proteomics; Bottom-up proteomics; Biochemistry; Peptide mass fingerprinting; Glutamine; Proteomics; Protein mass spectrometry","score_opus":0.021957570779716117,"score_gpt":0.286268754689537,"score_spread":0.2643111839098209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998936881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95837706,0.00076811574,0.021642841,0.00068798347,0.0000136520775,0.00032530265,0.002065475,0.00048876036,0.015630785],"genre_scores_gemma":[0.9605968,0.0002728796,0.033598468,0.00011208827,0.00012610084,0.00011465968,0.0011170816,0.0000415018,0.004020405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99725324,0.000012213576,0.0006094463,0.0011539495,0.0003746499,0.00059647654],"domain_scores_gemma":[0.99777585,0.000069124544,0.00023105153,0.0015199266,0.00009214291,0.0003119198],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017804306,0.00039404107,0.00058121065,0.000023987168,0.00025912924,0.00016073111,0.0008053562,0.00030377286,0.0021076696],"category_scores_gemma":[0.0001393908,0.00041257613,0.00012940286,0.00048251942,0.00019973461,0.00024290598,0.0006668567,0.00052192283,0.00003326187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003899064,0.0004578488,0.01631293,0.00027046655,0.0009018049,0.00002570294,0.00003444717,0.0002993526,0.97296834,0.00047666155,0.007016684,0.0011967542],"study_design_scores_gemma":[0.0010735964,0.00001708156,0.000054787823,0.000062494095,0.0010278913,0.000026988575,0.00009724036,0.09661489,0.8936915,0.0011585244,0.005328661,0.00084637484],"about_ca_topic_score_codex":0.00034670095,"about_ca_topic_score_gemma":0.000014230705,"teacher_disagreement_score":0.09631554,"about_ca_system_score_codex":0.00021561918,"about_ca_system_score_gemma":0.000025365483,"threshold_uncertainty_score":0.99983263},"labels":[],"label_agreement":null},{"id":"W1999692740","doi":"10.1002/pmic.200900788","title":"Integrating titania enrichment, iTRAQ labeling, and Orbitrap CID‐HCD for global identification and quantitative analysis of phosphopeptides","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Phosphopeptide; Orbitrap; Chemistry; Phosphoproteomics; Quantitative proteomics; Isobaric labeling; Chromatography; Peptide; Mass spectrometry; Isotopic labeling; Proteomics; Protein phosphorylation; Biochemistry; Tandem mass spectrometry; Phosphorylation; Protein mass spectrometry; Protein kinase A","score_opus":0.014355707373623945,"score_gpt":0.31635165388609954,"score_spread":0.3019959465124756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999692740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7604308,0.00011560907,0.23827465,0.00007107422,0.000012040766,0.0004118804,0.00024840396,0.000047869988,0.000387658],"genre_scores_gemma":[0.5485766,0.00008448433,0.45093724,0.000012695832,0.000011853939,0.0002612836,0.00005639712,0.000009392854,0.00005005543],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991358,0.0000050694925,0.00033968323,0.00030715702,0.000075669304,0.00013664758],"domain_scores_gemma":[0.9991575,0.00008026729,0.00030403832,0.00023679055,0.00016922719,0.000052180803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020423887,0.00013243135,0.0002279164,0.00005056256,0.00012225604,0.000051037285,0.00012420166,0.00010944167,0.000017266108],"category_scores_gemma":[0.00017704489,0.00013103445,0.0000658164,0.0002658347,0.00011812548,0.00010361431,0.000049842,0.00015739893,4.137331e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027898592,0.000035770907,0.008171513,0.0000703663,0.00013483617,7.91379e-8,0.00014613249,0.000008150119,0.9048001,0.08388662,0.000009665629,0.0027088562],"study_design_scores_gemma":[0.00032044313,0.000037613987,0.0010386474,0.000029441568,0.00038241484,0.0000025744296,0.00033878043,0.018385721,0.93308616,0.04573268,0.00041169618,0.00023385849],"about_ca_topic_score_codex":0.00007483895,"about_ca_topic_score_gemma":0.00015979767,"teacher_disagreement_score":0.2126626,"about_ca_system_score_codex":0.000028037077,"about_ca_system_score_gemma":0.000024336405,"threshold_uncertainty_score":0.534343},"labels":[],"label_agreement":null},{"id":"W1999764922","doi":"10.1109/bibm.2011.19","title":"Improve Accuracy of Peptide Identification with Consistency between Peptides","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Regularization (linguistics); Smoothing; Computer science; Consistency (knowledge bases); Logistic regression; Artificial intelligence; Mathematics; Algorithm; Pattern recognition (psychology); Statistics; Machine learning","score_opus":0.029291498249408673,"score_gpt":0.2730685630476775,"score_spread":0.24377706479826883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999764922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75594103,0.000020379366,0.09906478,0.00004673725,0.0000055571854,0.00024583924,0.000058052334,0.00022236907,0.14439525],"genre_scores_gemma":[0.88928497,0.00001621362,0.10842195,0.000009830144,0.000022995957,0.00011212807,0.000023644465,0.000015257944,0.00209303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992962,0.0000031289164,0.00029140888,0.00020444466,0.000087514716,0.00011730157],"domain_scores_gemma":[0.9990533,0.00005451353,0.00026098912,0.0004633077,0.00012353541,0.000044369826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005787724,0.00009827795,0.0001333126,0.000024814053,0.00005548238,0.000008332739,0.00019330546,0.000057312667,0.00036883343],"category_scores_gemma":[0.00003390156,0.00008063478,0.00004162423,0.000077449164,0.00010788022,0.00012915622,0.000038277598,0.00008965375,0.000015835343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026324835,0.00009286389,0.03257559,0.000114192786,0.000045271085,6.5129444e-7,0.00026231175,5.390696e-7,0.9277547,0.02968083,0.00013657656,0.00931018],"study_design_scores_gemma":[0.00012021815,0.000021850485,0.0028347082,0.000022463952,0.000028990687,0.0000017973745,0.0001819369,0.00000991473,0.9859713,0.010180359,0.00050853967,0.00011793578],"about_ca_topic_score_codex":0.00012711523,"about_ca_topic_score_gemma":0.00000888359,"teacher_disagreement_score":0.14230222,"about_ca_system_score_codex":0.000017134464,"about_ca_system_score_gemma":0.000030909345,"threshold_uncertainty_score":0.40384674},"labels":[],"label_agreement":null},{"id":"W1999800268","doi":"10.1016/s1389-0344(01)00097-1","title":"The role of mass spectrometry in proteome studies","year":2001,"lang":"en","type":"review","venue":"Biomolecular Engineering","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Proteome; Mass spectrometry; Proteomics; Computational biology; Chemistry; Two-dimensional gel electrophoresis; Protein expression; Identification (biology); Chromatography; Biology; Biochemistry; Gene","score_opus":0.016573161749844793,"score_gpt":0.3068545490195308,"score_spread":0.290281387269686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999800268","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000976272,0.97963506,0.019412138,0.0000039114916,0.000013878757,0.00036496823,0.00001303638,0.000076993354,0.00047027398],"genre_scores_gemma":[0.00005120747,0.9739539,0.025048578,5.274366e-7,0.00005042516,0.0007564057,0.000012126443,0.00005853139,0.00006832115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989823,0.000007077267,0.00042925248,0.00023077977,0.00011220695,0.00023839786],"domain_scores_gemma":[0.9992314,0.0000669253,0.00017215074,0.00047599798,0.000024931336,0.00002859212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010792221,0.00025361284,0.0006149906,0.00011831413,0.000031247502,0.000012713574,0.0003581013,0.00015735967,0.0000056100953],"category_scores_gemma":[0.00006190453,0.00019332653,0.00020653878,0.00052200264,0.00003116233,0.000017053635,0.000091129616,0.00029150074,0.0000030494957],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024540425,0.00004783253,0.0000032038085,0.016930895,0.0004266728,0.00004428438,0.000025821311,0.00007911438,0.19861647,0.008107565,0.0000063620478,0.77570933],"study_design_scores_gemma":[0.000039042898,0.0000056737344,5.0079294e-8,0.003673773,0.000060074788,0.000017179591,0.000017163804,0.000079948964,0.04532914,0.0008258014,0.9497389,0.0002132063],"about_ca_topic_score_codex":0.0000030338465,"about_ca_topic_score_gemma":3.6325733e-7,"teacher_disagreement_score":0.9497326,"about_ca_system_score_codex":0.00015241676,"about_ca_system_score_gemma":0.00002991711,"threshold_uncertainty_score":0.78836274},"labels":[],"label_agreement":null},{"id":"W1999804530","doi":"10.1021/pr049789t","title":"Nanoliter Sample Handling Combined with Microspot MALDI−MS for Detection of Gel-Separated Phosphoproteins","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chromatography; Sample (material); Chemistry; Mass spectrometry","score_opus":0.037915682849416474,"score_gpt":0.36107147391153716,"score_spread":0.32315579106212067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999804530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8342986,0.00022084416,0.16382985,0.0004223287,0.000009254849,0.0009948445,0.000050972263,0.00002618502,0.00014712501],"genre_scores_gemma":[0.8050613,0.000070531976,0.19377904,0.000008511422,0.00016783409,0.0003763383,0.0000064161068,0.000035984624,0.0004940891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982838,0.000030669275,0.0005921311,0.00020312988,0.00048837066,0.00040188816],"domain_scores_gemma":[0.9975733,0.00018265621,0.00039996812,0.000306829,0.0014116844,0.00012553531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010460435,0.00014309734,0.00031196684,0.00020787992,0.00022671497,0.000054456887,0.00035769332,0.00014509213,0.00015352189],"category_scores_gemma":[0.00021018188,0.00011334321,0.00012457077,0.0003862551,0.00014705189,0.00021840434,0.00005972669,0.0006409139,0.000003349276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00173145,0.00017964028,0.00015575647,0.00017613854,0.000046774854,0.0000018558763,0.000088833156,0.00015478772,0.9925692,0.00017497137,0.00003844812,0.0046821404],"study_design_scores_gemma":[0.0014628859,0.0008075979,0.00003237046,0.00022722954,0.00001360885,0.000042517182,0.000047587142,0.00098544,0.98206484,0.002890702,0.011299172,0.00012602934],"about_ca_topic_score_codex":0.000065010674,"about_ca_topic_score_gemma":0.000021664266,"teacher_disagreement_score":0.02994919,"about_ca_system_score_codex":0.00022922306,"about_ca_system_score_gemma":0.00018811211,"threshold_uncertainty_score":0.4622002},"labels":[],"label_agreement":null},{"id":"W1999971214","doi":"10.1039/b915986j","title":"An integrated global strategy for cell lysis, fractionation, enrichment and mass spectrometric analysis of phosphorylated peptides","year":2010,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Phosphopeptide; Fractionation; Phosphorylation; Chemistry; Phosphatase; Lysis; Fragmentation (computing); Chromatography; Protein phosphorylation; Biochemistry; Computational biology; Biology; Protein kinase A","score_opus":0.006126744908198627,"score_gpt":0.27387864855476074,"score_spread":0.2677519036465621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999971214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7454089,0.00019833221,0.2531572,0.000018273304,0.000015590607,0.00023299546,0.00030252425,0.0000703943,0.00059579295],"genre_scores_gemma":[0.96726155,0.000026886404,0.031992827,0.0000083333525,0.000016663686,0.0001373548,0.00049202103,0.0000140553,0.00005028761],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900985,0.000011780026,0.00033018473,0.00033125546,0.00015249383,0.00016445052],"domain_scores_gemma":[0.999005,0.00002620294,0.0002559486,0.00038716733,0.00024462718,0.00008101856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013969548,0.0001484704,0.0002594964,0.00018750221,0.00007307337,0.00004471536,0.00016444975,0.00015469166,0.00006844832],"category_scores_gemma":[0.000021971262,0.00014524972,0.00011835637,0.0012904418,0.000034158387,0.00005492076,0.000015118121,0.000114166425,7.932703e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012423879,0.00009754424,0.0029252423,0.00004337013,0.00022499045,7.151235e-7,0.000007624606,0.0003214221,0.9937698,0.0019944382,0.00001489695,0.0005875353],"study_design_scores_gemma":[0.0002356105,0.000049940136,0.00040659882,0.000005945512,0.00036888392,0.000001896884,0.00011855731,0.017232914,0.97938865,0.000962042,0.0010616872,0.00016724685],"about_ca_topic_score_codex":0.00017053298,"about_ca_topic_score_gemma":0.000026702133,"teacher_disagreement_score":0.22185268,"about_ca_system_score_codex":0.00006880033,"about_ca_system_score_gemma":0.000034139386,"threshold_uncertainty_score":0.5923112},"labels":[],"label_agreement":null},{"id":"W2000034207","doi":"10.1016/j.drudis.2006.05.011","title":"Software for computational peptide identification from MS–MS data","year":2006,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Tandem mass spectrometry; Identification (biology); Peptide; Database search engine; Computational biology; Drug discovery; Mass spectrometry; Protein sequencing; Peptide mass fingerprinting; Proteomics; Chemistry; Computer science; Peptide sequence; Bioinformatics; Biology; Chromatography; Biochemistry; Search engine; Information retrieval","score_opus":0.04332395750182927,"score_gpt":0.3442307917079608,"score_spread":0.3009068342061315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000034207","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008376874,0.56632185,0.39156166,0.000040966,0.000074046104,0.00076785526,0.040455904,0.00021924128,0.0005501082],"genre_scores_gemma":[0.0000102898985,0.67501086,0.0753191,0.000029465207,0.0007083219,0.0015416881,0.2383595,0.00013606947,0.008884718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99751705,0.000021980888,0.0008737829,0.0010667741,0.00024921907,0.00027120986],"domain_scores_gemma":[0.99672586,0.00055649877,0.0007864423,0.0017760575,0.00009607212,0.000059098234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015405571,0.000442534,0.00082736777,0.00006209167,0.00021514829,0.0002558588,0.0013826527,0.00026505496,0.00012015648],"category_scores_gemma":[0.00009726435,0.00042694286,0.0003114878,0.00016910238,0.0000732658,0.0005105241,0.00039645188,0.00033306677,0.000064754386],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001529523,0.0003614337,0.000022831224,0.012827601,0.0003210594,0.0000035744772,0.000029704262,0.0007816147,0.000051504274,0.005209963,0.21666741,0.763708],"study_design_scores_gemma":[0.00011805499,0.000001639267,0.0000016136329,0.0018651,0.00036824698,0.0000027190963,0.0000055160594,0.00028579336,0.00010281074,0.01665637,0.98012114,0.00047100306],"about_ca_topic_score_codex":0.0001691621,"about_ca_topic_score_gemma":0.000034736153,"teacher_disagreement_score":0.7634537,"about_ca_system_score_codex":0.00018351949,"about_ca_system_score_gemma":0.0002689153,"threshold_uncertainty_score":0.99981827},"labels":[],"label_agreement":null},{"id":"W2000146915","doi":"10.1021/pr060312m","title":"The Proteomic Reactor:  A Microfluidic Device for Processing Minute Amounts of Protein Prior to Mass Spectrometry Analysis","year":2006,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrometry; Proteomics; Proteome; Chromatography; Chemistry; Lysis; Microfluidics; Fractionation; Peptide; Tandem mass spectrometry; Biochemistry; Nanotechnology; Materials science","score_opus":0.03706188210240645,"score_gpt":0.37457158572237675,"score_spread":0.3375097036199703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000146915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8813011,0.0017177485,0.111129366,0.0017743736,0.000009859272,0.0033795089,0.00007174263,0.000031284602,0.0005849898],"genre_scores_gemma":[0.653052,0.00011734422,0.34237513,0.000007865831,0.0004082426,0.0018581394,0.0000071664394,0.00006181391,0.0021123327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967752,0.0000850523,0.0011067494,0.00034392983,0.001013249,0.0006758194],"domain_scores_gemma":[0.9963072,0.00022881203,0.00087842956,0.0005715622,0.0018471644,0.00016684212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003109859,0.0002104991,0.0005049693,0.00072661805,0.0004449718,0.000171476,0.0010506802,0.00016179823,0.000045333785],"category_scores_gemma":[0.00050967815,0.00015261615,0.00034515004,0.002150926,0.00018942228,0.00019554987,0.00013164843,0.00081723405,0.000004967172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042775334,0.00013215245,0.00048602853,0.00035320033,0.00013649999,0.0000038808043,0.00004098577,0.000009361021,0.995798,0.00020377229,0.0005432615,0.0018651382],"study_design_scores_gemma":[0.0004583566,0.00021728984,0.00024466994,0.0002601065,0.00009198394,0.000014056397,0.00010696297,0.00011344142,0.97735316,0.008471024,0.012504469,0.00016447387],"about_ca_topic_score_codex":0.000079080055,"about_ca_topic_score_gemma":0.000012639776,"teacher_disagreement_score":0.23124577,"about_ca_system_score_codex":0.00048404644,"about_ca_system_score_gemma":0.0005092652,"threshold_uncertainty_score":0.6223506},"labels":[],"label_agreement":null},{"id":"W2000237365","doi":"10.1016/j.dib.2015.02.007","title":"Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions","year":2015,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteomics; Chromatography; Tandem mass spectrometry; Chemistry; Mass spectrometry; Shotgun proteomics; Trypsin; Bottom-up proteomics; Quantitative proteomics; Computational biology; Biochemistry; Biology; Protein mass spectrometry; Enzyme","score_opus":0.045907670234245634,"score_gpt":0.3299153693218273,"score_spread":0.28400769908758167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000237365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9331004,0.00019195642,0.0017849709,0.00006537147,0.000003185543,0.00013504141,0.06460848,0.000022750468,0.000087824505],"genre_scores_gemma":[0.7760789,0.00043380828,0.062700585,0.00010065982,0.000049439957,0.0001265305,0.16030587,0.000024264093,0.00017992822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999336,0.000008207348,0.0001900061,0.00031838426,0.0000624888,0.000084918225],"domain_scores_gemma":[0.9988585,0.00003407354,0.00010306187,0.00092843105,0.000019991376,0.00005591498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084078376,0.00008199781,0.00018095553,0.000067584246,0.00005049697,0.000027965267,0.00026197862,0.00006230703,0.00007343947],"category_scores_gemma":[0.00003412365,0.00008637559,0.0000107447095,0.0001580618,0.00010425014,0.00022204815,0.00037318983,0.00012035437,0.0000012886198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033495362,0.00021641298,0.06525992,0.000051392948,0.00025741055,0.0000051301686,0.00016631655,0.000020161431,0.9022553,0.00090833,0.029716149,0.0011099657],"study_design_scores_gemma":[0.0017372346,0.000035063422,0.015764896,0.0000715498,0.00096868165,0.000008887566,0.00032544666,0.0044070287,0.6756673,0.005193171,0.29508188,0.00073887536],"about_ca_topic_score_codex":0.0043638325,"about_ca_topic_score_gemma":0.0006641233,"teacher_disagreement_score":0.26536575,"about_ca_system_score_codex":0.000017338343,"about_ca_system_score_gemma":0.0000151018885,"threshold_uncertainty_score":0.6596838},"labels":[],"label_agreement":null},{"id":"W2000819528","doi":"10.1016/j.dib.2014.10.001","title":"BioID data of c-MYC interacting protein partners in cultured cells and xenograft tumors","year":2014,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Molecular biology; Cell culture; HEK 293 cells; Mutant; DNA ligase; Proteomics; Biology; Cancer research; Computational biology; Genetics; DNA; Gene","score_opus":0.039562663610448336,"score_gpt":0.3382439419945027,"score_spread":0.29868127838405434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000819528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757609,0.00015282152,0.013728209,0.00057157537,0.000023651057,0.00082776684,0.0043832967,0.00013538101,0.0044164513],"genre_scores_gemma":[0.86357373,0.00005577132,0.13260318,0.00003466262,0.000039966882,0.000071675786,0.0035164808,0.000019626204,0.00008491938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904966,0.000014603239,0.0002987937,0.0004144441,0.00007293572,0.00014956365],"domain_scores_gemma":[0.9982277,0.000054966094,0.00014795658,0.0015212536,0.000013241007,0.00003488104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027306442,0.00009864114,0.00015990545,0.000036300575,0.000023841405,0.000022559321,0.00083748,0.0000595362,0.000025882198],"category_scores_gemma":[0.00016461773,0.000098569515,0.000007355706,0.00012596126,0.00006557744,0.00029272574,0.0009020267,0.00020899012,0.0000017313389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028655113,0.00011985677,0.0029371935,0.00021245141,0.0000061991263,0.0000031610416,0.00017457794,0.000011161021,0.98415464,0.0008422581,0.0017073662,0.009802476],"study_design_scores_gemma":[0.00045034135,0.000011052177,0.00009321339,0.000390275,0.0000057959614,0.0000044789704,0.0002159545,0.00793764,0.86965895,0.000927203,0.12008221,0.00022290963],"about_ca_topic_score_codex":0.00044849617,"about_ca_topic_score_gemma":0.00016328572,"teacher_disagreement_score":0.118874975,"about_ca_system_score_codex":0.000014511432,"about_ca_system_score_gemma":0.00001413967,"threshold_uncertainty_score":0.4019548},"labels":[],"label_agreement":null},{"id":"W2001354860","doi":"10.1074/mcp.m110.005785","title":"Feature-matching Pattern-based Support Vector Machines for Robust Peptide Mass Fingerprinting","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; State Key Laboratory of Bioreactor Engineering; East China University of Science and Technology; La Trobe University","keywords":"Peptide mass fingerprinting; Computer science; Matching (statistics); Pattern recognition (psychology); Artificial intelligence; Pattern matching; Feature (linguistics); Data mining; Computational biology; Chemistry; Proteomics; Mathematics; Biology; Biochemistry; Statistics","score_opus":0.017461609995194437,"score_gpt":0.23667280866963827,"score_spread":0.21921119867444383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001354860","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16782546,0.00004550494,0.82798356,0.00024940018,0.000040013703,0.0009242335,0.000108942,0.00032738666,0.0024955105],"genre_scores_gemma":[0.38583434,0.0000030440128,0.6120087,0.0001997338,0.00009024048,0.0010751758,0.0002454115,0.00013071405,0.00041263236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99816346,0.000022119806,0.00037147335,0.0006727626,0.00020641719,0.0005637585],"domain_scores_gemma":[0.99855065,0.000038636274,0.00032598304,0.00082236127,0.000117209674,0.0001451321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024948374,0.0004080971,0.00033613373,0.00007568592,0.00026008708,0.00007713241,0.0005678613,0.0002735563,0.00016716773],"category_scores_gemma":[0.000052523454,0.00044341828,0.00031973698,0.000116760006,0.000063959815,0.000086989,0.00011605208,0.00047094823,0.000017079503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040123006,0.00007526628,0.00044110327,0.00025424795,0.000035044814,0.000031605934,0.00009949572,0.0007312134,0.99566495,0.001119839,0.00006064708,0.001446458],"study_design_scores_gemma":[0.00048368645,0.000038651047,0.000013513817,0.00007547256,0.000054138534,0.0000071211334,0.000022784932,0.01234897,0.97879505,0.005773186,0.0018715904,0.00051586056],"about_ca_topic_score_codex":0.000048094436,"about_ca_topic_score_gemma":0.0000045011107,"teacher_disagreement_score":0.21800888,"about_ca_system_score_codex":0.000105252955,"about_ca_system_score_gemma":0.00008518594,"threshold_uncertainty_score":0.99980175},"labels":[],"label_agreement":null},{"id":"W2001504532","doi":"10.1001/archotol.133.9.910","title":"A Cell Proteomic Approach for the Detection of Secretable Biomarkers of Invasiveness in Oral Squamous Cell Carcinoma","year":2007,"lang":"en","type":"article","venue":"Archives of Otolaryngology - Head and Neck Surgery","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Matrigel; Biology; Cell culture; Cell; Cancer research; Cancer; Proteomics; Pathology; Molecular biology; Cell biology; Medicine; Biochemistry","score_opus":0.016256089151325464,"score_gpt":0.24691265361874626,"score_spread":0.2306565644674208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001504532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948434,0.00064402836,0.049403377,0.000012546637,0.000011228418,0.00057695794,0.00003104116,0.000012924661,0.0008739221],"genre_scores_gemma":[0.98353565,0.00009574513,0.016050031,0.000008206867,0.000012441894,0.00022680091,0.000026361338,0.000018010256,0.00002677844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989541,0.000029512377,0.00047769508,0.00023768436,0.00005706024,0.00024391722],"domain_scores_gemma":[0.9980879,0.0012449904,0.0003243255,0.00027490736,0.000028318862,0.000039598424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032061475,0.00013224686,0.00037820416,0.00015300112,0.00006436541,0.000002182974,0.00014797019,0.00011410752,0.000004371898],"category_scores_gemma":[0.00004253378,0.00011279457,0.00013180728,0.00014148827,0.00030611554,0.000047163354,0.000065728775,0.00014401958,6.174991e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000586969,0.00018501295,0.19833745,0.0010053916,0.000009809781,0.0000013957314,0.00014947342,0.000019586634,0.79817224,0.00006055009,0.0000024918827,0.001469641],"study_design_scores_gemma":[0.00053922576,0.000063490974,0.08015762,0.000030781495,0.000019710615,0.000011594347,0.00009504813,0.0010915364,0.91701674,0.0008324998,0.000041838794,0.00009988053],"about_ca_topic_score_codex":0.00031893907,"about_ca_topic_score_gemma":0.000030374193,"teacher_disagreement_score":0.11884454,"about_ca_system_score_codex":0.000008898393,"about_ca_system_score_gemma":0.000058199155,"threshold_uncertainty_score":0.4599629},"labels":[],"label_agreement":null},{"id":"W2001711982","doi":"10.1371/journal.pone.0038290","title":"The Effect of Pre-Analytical Variability on the Measurement of MRM-MS-Based Mid- to High-Abundance Plasma Protein Biomarkers and a Panel of Cytokines","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; McGill University","funders":"Fondation de l'Hôpital général juif; Jewish General Hospital; Genome British Columbia; University of Victoria; Genome Canada","keywords":"Proteomics; Context (archaeology); Chemistry; Biomarker; Biomarker discovery; Protease; Centrifugation; Chromatography; Biology; Biochemistry; Enzyme","score_opus":0.039538845424530726,"score_gpt":0.2572973334154777,"score_spread":0.217758487990947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001711982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967699,0.000024840077,0.0011974338,0.000610372,0.000002558075,0.0009884537,0.000052085376,0.000020566593,0.00033376864],"genre_scores_gemma":[0.991956,0.0000035477697,0.007334567,0.000007843164,0.000017282542,0.00064937567,0.0000018283412,0.000011580293,0.000017963368],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897486,0.000059924172,0.00029210813,0.00015768204,0.00036078342,0.00015462964],"domain_scores_gemma":[0.99851525,0.00056290714,0.00018529866,0.00056398765,0.00011835388,0.000054210315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094664196,0.00011536573,0.000246607,0.00001585589,0.000061423896,0.0000047999733,0.0002033713,0.000058343176,0.000021043887],"category_scores_gemma":[0.0006555863,0.00006696192,0.000052985764,0.00011214455,0.00018343177,0.00001934831,0.000053416465,0.00009968286,6.2406974e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007065796,0.00052093837,0.003496763,0.0005010638,0.00015468498,2.885967e-8,0.000028121185,0.000011990139,0.99256414,0.0014629139,0.00000955929,0.0005432118],"study_design_scores_gemma":[0.00024693186,0.00017042337,0.0007876366,0.00026105522,0.000105018444,8.120973e-8,0.0000047521125,0.0006893331,0.9971128,0.00051441835,0.000041388244,0.000066160734],"about_ca_topic_score_codex":0.000033161654,"about_ca_topic_score_gemma":0.0000033242634,"teacher_disagreement_score":0.006137133,"about_ca_system_score_codex":0.000047664085,"about_ca_system_score_gemma":0.000021160678,"threshold_uncertainty_score":0.27306277},"labels":[],"label_agreement":null},{"id":"W2002306126","doi":"10.1002/elps.200500603","title":"Multiplex multidimensional nanoLC‐MS system for targeted proteomic analyses","year":2005,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada); Institute for Research in Immunology and Cancer","funders":"","keywords":"Chromatography; Chemistry; Multiplex; Reproducibility; Mass spectrometry; Elution; Analytical Chemistry (journal); Common emitter; Materials science; Bioinformatics; Optoelectronics","score_opus":0.017871128525134023,"score_gpt":0.2989160039583533,"score_spread":0.2810448754332193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002306126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9320133,0.0007758024,0.06344,0.0003088105,0.000020825488,0.0010681677,0.00015442146,0.0011861423,0.0010325552],"genre_scores_gemma":[0.7478525,0.000055272874,0.24967805,0.000033317487,0.00023077578,0.0015468793,0.000050279894,0.0000783701,0.0004745318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99860644,0.0000103609445,0.00034363268,0.00044308195,0.0001631323,0.00043337196],"domain_scores_gemma":[0.99911106,0.00007901058,0.00016621962,0.0004188876,0.00012754503,0.00009725748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074517106,0.00023194234,0.00025831503,0.000068395515,0.00027159665,0.000020822346,0.00021705887,0.00015052107,0.00015797418],"category_scores_gemma":[0.000052194755,0.00021633359,0.00018898405,0.00016476921,0.000041372663,0.000083521416,0.000037292288,0.00016645726,0.00002594499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108438726,0.000068572386,0.00007683861,0.000045582816,0.000048330938,8.161056e-7,0.0000155088,0.00020389055,0.99480915,0.0012164415,0.00069919165,0.0027072104],"study_design_scores_gemma":[0.0005153028,0.000030995434,0.00008298588,0.000031545595,0.00004052672,0.000009075349,0.000014514341,0.0061062863,0.9727222,0.00014831439,0.020038594,0.00025969028],"about_ca_topic_score_codex":0.000054766842,"about_ca_topic_score_gemma":0.000024846473,"teacher_disagreement_score":0.18623805,"about_ca_system_score_codex":0.00035304055,"about_ca_system_score_gemma":0.00005709682,"threshold_uncertainty_score":0.8821828},"labels":[],"label_agreement":null},{"id":"W2003001582","doi":"10.1111/j.1600-0757.2005.00135.x","title":"Proteomics for the periodontium: current strategies and future promise","year":2006,"lang":"en","type":"review","venue":"Periodontology 2000","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Periodontium; Current (fluid); Proteomics; MEDLINE; Dentistry; Engineering","score_opus":0.03238995872304295,"score_gpt":0.3470890690812851,"score_spread":0.31469911035824216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003001582","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016528254,0.9906727,0.0043305517,0.0002527249,0.00012404395,0.002603388,0.00035392377,0.00017927287,0.0014668325],"genre_scores_gemma":[0.0000017109002,0.97246665,0.014202527,0.000011931899,0.001285243,0.010701186,0.00029053766,0.000089276975,0.0009509201],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818534,0.000026919677,0.0005914521,0.0006607359,0.00009224628,0.00044328067],"domain_scores_gemma":[0.99855757,0.00013996687,0.0004417448,0.0007185407,0.00007243439,0.000069732574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012050762,0.0005722317,0.0011680843,0.000051070787,0.0004753697,0.00019988585,0.00054508355,0.0006102464,0.00012612408],"category_scores_gemma":[0.000012190586,0.00038537817,0.00038347102,0.000099194265,0.0003327649,0.000104941435,0.00010466209,0.00074429903,0.0000068157756],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012956256,0.0000435945,0.0000025276615,0.0078760125,0.00006178023,0.0000012289312,0.000076659286,5.7856965e-7,0.000012477684,0.004868305,0.0009888367,0.986055],"study_design_scores_gemma":[0.00016644913,0.000017105254,0.0000010538425,0.0005471068,0.0004605437,0.00009628494,0.000087609915,0.000024124232,0.000017883474,0.0008621795,0.9972975,0.00042212187],"about_ca_topic_score_codex":0.000029292798,"about_ca_topic_score_gemma":0.000063115636,"teacher_disagreement_score":0.9963087,"about_ca_system_score_codex":0.00013802483,"about_ca_system_score_gemma":0.0006139446,"threshold_uncertainty_score":0.9998598},"labels":[],"label_agreement":null},{"id":"W2003053754","doi":"10.1016/j.jchromb.2008.11.020","title":"Immunodepletion of high abundance proteins coupled on-line with reversed-phase liquid chromatography: A two-dimensional LC sample enrichment and fractionation technique for mammalian proteomics","year":2008,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Chemistry; Chromatography; Proteomics; Fractionation; Sample preparation; Proteome; Biochemistry","score_opus":0.013732224779351977,"score_gpt":0.2799503792382631,"score_spread":0.2662181544589111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003053754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64182204,0.00011234089,0.35667676,0.00017879164,0.00001680544,0.001000072,0.00012874801,0.00004201189,0.000022447415],"genre_scores_gemma":[0.65472275,0.00014053307,0.3443537,0.000034641198,0.000079196165,0.00057250017,0.000056524903,0.00003285291,0.000007290089],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982236,0.000020467687,0.00079144014,0.00028360376,0.00043609983,0.0002447565],"domain_scores_gemma":[0.9974064,0.00013343357,0.001400264,0.0003239699,0.0006251815,0.000110712404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982283,0.00027259017,0.00046218888,0.00036341028,0.0003071491,0.000016803275,0.00019305319,0.00014730317,0.00003760587],"category_scores_gemma":[0.000046690046,0.00023618944,0.00021927977,0.00042929483,0.00023542959,0.00024170063,0.000029547995,0.00032886176,2.0550277e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002766456,0.0009039312,0.00049896137,0.00021828673,0.00016245274,0.000010045506,0.000052265077,0.00073487667,0.99190086,0.0025179174,0.00010226369,0.00013167213],"study_design_scores_gemma":[0.004748058,0.00267668,0.0002520037,0.00051829015,0.00008240381,0.00061099,0.000026177895,0.0008276145,0.9855832,0.0034978953,0.00085899496,0.00031769948],"about_ca_topic_score_codex":0.00007187516,"about_ca_topic_score_gemma":0.0000036362803,"teacher_disagreement_score":0.012900738,"about_ca_system_score_codex":0.000077548495,"about_ca_system_score_gemma":0.0001463303,"threshold_uncertainty_score":0.9631526},"labels":[],"label_agreement":null},{"id":"W2003462220","doi":"10.1021/ac1005553","title":"Assay Development for the Determination of Phosphorylation Stoichiometry Using Multiple Reaction Monitoring Methods with and without Phosphatase Treatment: Application to Breast Cancer Signaling Pathways","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Victoria","funders":"National Institutes of Health; Canadian Institutes of Health Research; Genome British Columbia; National Cancer Institute; Genome Canada","keywords":"Phosphopeptide; Chemistry; Phosphorylation; Protein phosphorylation; Phosphatase; Dephosphorylation; Chromatography; Peptide; Phosphoproteomics; Biochemistry; Protein kinase A","score_opus":0.029803679610738928,"score_gpt":0.3513332192237796,"score_spread":0.32152953961304065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003462220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48343393,0.000042183598,0.51616216,0.000036063142,0.000006902422,0.00020920938,0.000048195052,0.00003055942,0.00003079755],"genre_scores_gemma":[0.72747236,0.000012286566,0.27191144,0.0000036930242,0.00007962492,0.00043985608,0.000034246415,0.000018554429,0.000027928376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920475,0.0000047315293,0.00024727962,0.0002695225,0.00012086258,0.0001528376],"domain_scores_gemma":[0.9990834,0.00022370041,0.0001870049,0.00026267202,0.00015610731,0.0000870869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020767195,0.00015632085,0.00016221097,0.000024614857,0.00019986863,0.000024185389,0.00009782814,0.000114045004,0.000013007403],"category_scores_gemma":[0.0000544783,0.000119315504,0.000036454927,0.00017462295,0.00007084755,0.000074911506,0.00002744225,0.00013691156,1.7886458e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007017678,0.00004482311,0.008175351,0.0000595429,0.000026590831,5.322773e-8,0.000064866435,0.00011753496,0.8296844,0.00005487647,2.1433142e-7,0.16170157],"study_design_scores_gemma":[0.00027741876,0.0000068629774,0.00035215713,0.00004427558,0.000105134524,0.000007545484,0.00014541809,0.071560636,0.92686623,0.000095570984,0.0003988072,0.00013993737],"about_ca_topic_score_codex":0.00010894207,"about_ca_topic_score_gemma":0.000009641901,"teacher_disagreement_score":0.24425073,"about_ca_system_score_codex":0.00014996195,"about_ca_system_score_gemma":0.00006681831,"threshold_uncertainty_score":0.4865545},"labels":[],"label_agreement":null},{"id":"W2003556442","doi":"10.1021/pr2011236","title":"Identification of Prostate-Enriched Proteins by In-depth Proteomic Analyses of Expressed Prostatic Secretions in Urine","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Ontario Ministry of Health and Long-Term Care","keywords":"Urine; Proteome; Proteomics; Biomarker discovery; Prostate cancer; Biomarker; Prostate; Computational biology; Medicine; Biology; Bioinformatics; Internal medicine; Cancer; Biochemistry; Gene","score_opus":0.06801904123903879,"score_gpt":0.42381623430885434,"score_spread":0.35579719306981555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003556442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895019,0.00047828187,0.007066431,0.00030823034,0.0000099117415,0.002345773,0.000046429064,0.000012402217,0.0002306527],"genre_scores_gemma":[0.9790986,0.0002585539,0.018772405,0.0000015960524,0.00004987878,0.001435783,0.000015522208,0.000034159508,0.00033349267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965308,0.00020279008,0.001670022,0.00022083285,0.00086424104,0.00051136414],"domain_scores_gemma":[0.99725455,0.00014682092,0.0011802672,0.00046622293,0.0008064112,0.00014572224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030711773,0.00016823488,0.0004886733,0.0007882442,0.00006312691,0.000025221605,0.0005114441,0.00015059525,0.00008197413],"category_scores_gemma":[0.00078753673,0.00014886259,0.00011176734,0.0012851112,0.00023383068,0.0004939598,0.00012283595,0.0009750178,0.0000029363914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022820778,0.0010002234,0.013445952,0.00078840175,0.000025082652,0.0000023511573,0.0006072134,0.00007453821,0.98315734,0.00021493378,0.00006004984,0.00039573511],"study_design_scores_gemma":[0.0008754865,0.00014720604,0.0037767615,0.00039195613,0.000011672098,0.000009808254,0.00038741232,0.00021575915,0.98874676,0.0052153505,0.00009404018,0.00012779294],"about_ca_topic_score_codex":0.0001256006,"about_ca_topic_score_gemma":0.0000072332223,"teacher_disagreement_score":0.011705974,"about_ca_system_score_codex":0.00028295268,"about_ca_system_score_gemma":0.0002935755,"threshold_uncertainty_score":0.60704404},"labels":[],"label_agreement":null},{"id":"W2003634768","doi":"10.1002/pmic.201000776","title":"ProteoConnections: A bioinformatics platform to facilitate proteome and phosphoproteome analyses","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Proteomics; Proteome; Computational biology; UniProt; Computer science; Bioinformatics; Biology; Phosphorylation; Protein phosphorylation; Phosphoprotein; Protein kinase A; Biochemistry","score_opus":0.13884900006522852,"score_gpt":0.31224357078913256,"score_spread":0.17339457072390405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003634768","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50773615,0.000085938744,0.4675046,0.00019077251,0.000031374457,0.0049145184,0.00019749584,0.00084737333,0.018491788],"genre_scores_gemma":[0.14958861,0.0000766812,0.840845,0.00015097791,0.000055798755,0.008231789,0.000023505218,0.00006150563,0.00096613256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99806064,0.000008339895,0.00064998947,0.00052240846,0.00022069874,0.0005379259],"domain_scores_gemma":[0.99850136,0.000030025387,0.00025541414,0.0007362555,0.00015586648,0.00032109665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022466772,0.00039349412,0.0003744501,0.00019449298,0.00034642173,0.00008462117,0.00039834695,0.00021284375,0.0003563886],"category_scores_gemma":[0.00014953954,0.00037108583,0.00010950754,0.000432107,0.00014281832,0.0004483702,0.00028608053,0.00040710694,0.00011951603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047299956,0.00034320704,0.001132647,0.00080243475,0.00017369793,0.000010382955,0.007389873,0.00006687443,0.9532252,0.010808711,0.0002061488,0.025367837],"study_design_scores_gemma":[0.0004381372,0.0001451167,0.000140193,0.00010316662,0.000031296135,0.000050554016,0.00056990824,0.0013206047,0.9712282,0.022172278,0.0031817418,0.00061881077],"about_ca_topic_score_codex":0.00026519306,"about_ca_topic_score_gemma":0.000019966277,"teacher_disagreement_score":0.3733404,"about_ca_system_score_codex":0.00012418375,"about_ca_system_score_gemma":0.000069054666,"threshold_uncertainty_score":0.9998741},"labels":[],"label_agreement":null},{"id":"W2003763500","doi":"10.1021/ac070741j","title":"Proteomics in 2005/2006:  Developments, Applications and Challenges","year":2007,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Citation; Library science; Altmetrics; Social media; Computer science; World Wide Web; Data science","score_opus":0.07355372338509401,"score_gpt":0.36079719704501223,"score_spread":0.2872434736599182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003763500","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000040945633,0.959887,0.0015906496,0.000065682936,0.000002696461,0.00050291006,0.00007866942,0.000119602686,0.03774866],"genre_scores_gemma":[0.000003505279,0.9796137,0.01562259,0.000014933086,0.00016141748,0.0017293238,0.00024991122,0.00007159575,0.0025329923],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775803,0.000006508156,0.0007828092,0.0007805253,0.00017500327,0.0004971276],"domain_scores_gemma":[0.9987035,0.00014171228,0.00025112947,0.0006363235,0.00004045287,0.0002268951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020543007,0.00047384374,0.0009936215,0.000070736176,0.000073723,0.000033140135,0.00043046163,0.00082426745,0.00018539272],"category_scores_gemma":[0.000040474475,0.00046735947,0.00017205335,0.00023602048,0.00015421699,0.000041857733,0.00021660494,0.00090705685,0.00002886129],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028882453,0.00013392667,0.000011191962,0.025741702,0.00006780639,0.000011223699,0.0000061212336,2.2468491e-7,0.000035425666,0.0021710545,0.0000838465,0.9717346],"study_design_scores_gemma":[0.000094446565,0.0000012561576,3.312415e-7,0.002066974,0.00012675837,0.00004395929,0.000014445203,0.000013797327,0.0007350693,0.0009089915,0.9955144,0.00047956195],"about_ca_topic_score_codex":0.0000047252597,"about_ca_topic_score_gemma":0.000004824075,"teacher_disagreement_score":0.9954306,"about_ca_system_score_codex":0.0002961859,"about_ca_system_score_gemma":0.00018431932,"threshold_uncertainty_score":0.9997778},"labels":[],"label_agreement":null},{"id":"W2004114046","doi":"10.1021/pr100656u","title":"A Quantitative Study of the Effects of Chaotropic Agents, Surfactants, and Solvents on the Digestion Efficiency of Human Plasma Proteins by Trypsin","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":348,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Cancer Institute","keywords":"Chemistry; Chaotropic agent; Chromatography; Digestion (alchemy); Sodium dodecyl sulfate; Mass spectrometry; Trypsin; Tandem mass spectrometry; Urea; Sample preparation; Bottom-up proteomics; Biochemistry; Protein mass spectrometry; Enzyme","score_opus":0.04506829861933076,"score_gpt":0.38188841930548817,"score_spread":0.3368201206861574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004114046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977125,0.000047707534,0.00015040592,0.00020285769,0.00001614013,0.0017373107,0.00001629289,0.000003874793,0.00011293219],"genre_scores_gemma":[0.9988027,0.000043302854,0.0008883198,0.0000012562805,0.000018247034,0.00013402656,5.06411e-7,0.00001447842,0.00009715235],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981627,0.00017840955,0.0005060431,0.00014497101,0.0008181779,0.00018970708],"domain_scores_gemma":[0.9979652,0.0004285733,0.0007212558,0.00038643923,0.00044555397,0.00005296057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010520739,0.00010789411,0.00026024837,0.0001037188,0.00021775419,0.000014863575,0.0005514233,0.00008543595,0.000022717908],"category_scores_gemma":[0.0008190929,0.000060878592,0.000072664894,0.00030301267,0.00033912354,0.000062033905,0.00014301286,0.0010364196,3.3369616e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012703272,0.0011318433,0.0029528134,0.00026463473,0.00003834207,0.0000011943162,0.0006380396,0.0000033553315,0.993236,0.0012972358,0.000035505273,0.00027398104],"study_design_scores_gemma":[0.00073212537,0.0020293249,0.0039466675,0.00039466593,0.000014149036,0.0000037536709,0.00047600764,0.00007138575,0.9903286,0.0019255496,0.000024637508,0.000053139498],"about_ca_topic_score_codex":0.00007136891,"about_ca_topic_score_gemma":0.000010817157,"teacher_disagreement_score":0.0029074284,"about_ca_system_score_codex":0.000037840116,"about_ca_system_score_gemma":0.00007907195,"threshold_uncertainty_score":0.45027852},"labels":[],"label_agreement":null},{"id":"W2004201211","doi":"10.1007/s12014-009-9025-4","title":"Quality Assessment of Tandem Mass Spectra by Using a Weighted K-Means","year":2009,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tandem; Mass spectrum; Quality (philosophy); Spectral line; Cluster analysis; Computer science; Cluster (spacecraft); Tandem mass spectrometry; Data mining; Pattern recognition (psychology); Artificial intelligence; Mass spectrometry; Chemistry; Physics; Materials science; Chromatography","score_opus":0.07681754032576754,"score_gpt":0.4376204948272208,"score_spread":0.3608029545014533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004201211","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35615763,0.00002710669,0.6354081,0.0003854136,0.00002105251,0.00038754556,0.00007779746,0.00012966861,0.0074056815],"genre_scores_gemma":[0.433195,0.00009091719,0.56624144,0.00014587163,0.00011108498,0.000029944467,0.000031472315,0.000017524579,0.00013673924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997867,0.000051043487,0.0011760419,0.00043404088,0.00020654111,0.0002653254],"domain_scores_gemma":[0.9983442,0.0001627205,0.0005976101,0.00065574714,0.000103526014,0.00013622174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006564681,0.00018952225,0.00047733355,0.000020868689,0.00009456456,0.000020040105,0.0003522749,0.0003059936,0.00013358911],"category_scores_gemma":[0.00011704019,0.00018663435,0.00022777099,0.00013456016,0.000149631,0.00007475675,0.00004623703,0.0005966338,0.0000026167068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041394032,0.0005609301,0.015634786,0.0000385671,0.00003170079,0.0000014414042,0.000008601396,0.000036837413,0.96603405,0.012196287,0.00026776633,0.005147634],"study_design_scores_gemma":[0.0020331577,0.0002815163,0.0022255178,0.00014351278,0.00007930523,0.0000059910326,0.000055570697,0.031726643,0.6597691,0.29872522,0.004105901,0.0008485155],"about_ca_topic_score_codex":0.000010667642,"about_ca_topic_score_gemma":5.165799e-7,"teacher_disagreement_score":0.3062649,"about_ca_system_score_codex":0.00012601855,"about_ca_system_score_gemma":0.000122002566,"threshold_uncertainty_score":0.76107275},"labels":[],"label_agreement":null},{"id":"W2004236352","doi":"10.1021/pr300652v","title":"High-Throughput SISCAPA Quantitation of Peptides from Human Plasma Digests by Ultrafast, Liquid Chromatography-Free Mass Spectrometry","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Chromatography; Mass spectrometry; Chemistry; Liquid chromatography–mass spectrometry; Human plasma","score_opus":0.039816704435470494,"score_gpt":0.3609725555297901,"score_spread":0.3211558510943196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004236352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98325247,0.0007112192,0.014030727,0.0004264271,0.000031242103,0.00034104742,0.00016590474,0.000040109233,0.0010008813],"genre_scores_gemma":[0.86750346,0.00035211546,0.13136584,0.000003819385,0.00046080895,0.00008786049,0.000032777076,0.000046944086,0.00014640151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99700326,0.00010552837,0.0008960199,0.00024374829,0.001140056,0.0006114091],"domain_scores_gemma":[0.99742687,0.00033406238,0.00075504027,0.0006528671,0.0005673064,0.00026387873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013419742,0.00020897467,0.00044868502,0.00042241917,0.00023791373,0.00005884705,0.0009174553,0.00021527644,0.00039968189],"category_scores_gemma":[0.00032008754,0.00018888158,0.00021904717,0.0006496998,0.0002911571,0.0005625198,0.00014733544,0.001086573,0.000013645559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017020557,0.00036076747,0.0026098674,0.00013442515,0.00009896313,0.0000035851647,0.00014683012,0.0000069565795,0.99285734,0.002211151,0.001259379,0.00014055985],"study_design_scores_gemma":[0.00068076845,0.0003943845,0.0005706491,0.00023448211,0.000022859389,0.00001948318,0.00026363911,0.00000815116,0.9792121,0.017519802,0.000895167,0.0001785231],"about_ca_topic_score_codex":0.00014132906,"about_ca_topic_score_gemma":0.0000041444964,"teacher_disagreement_score":0.11733511,"about_ca_system_score_codex":0.00019017543,"about_ca_system_score_gemma":0.0000875841,"threshold_uncertainty_score":0.7702367},"labels":[],"label_agreement":null},{"id":"W2004241508","doi":"10.1021/pr900608z","title":"Assessment of the Reproducibility of Random Hexapeptide Peptide Library-Based Protein Normalization","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Normalization (sociology); Reproducibility; Peptide; Peptide library; Computational biology; Proteomics; Chemistry; Chromatography; Bioinformatics; Biology; Biochemistry; Peptide sequence","score_opus":0.03856330466298433,"score_gpt":0.38004100104627875,"score_spread":0.3414776963832944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004241508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95601124,0.00010301218,0.033001985,0.003353038,0.0000109974335,0.0016572373,0.000022908964,0.000025252375,0.0058143223],"genre_scores_gemma":[0.9062346,0.000029889366,0.09296224,0.000014920164,0.00009306834,0.00008627461,0.0000031576544,0.00001551769,0.0005602973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99726915,0.00022880611,0.00096444984,0.00031541503,0.0009787565,0.00024340775],"domain_scores_gemma":[0.99669355,0.00013161084,0.00092360406,0.0013385023,0.00082984666,0.000082857485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004223543,0.00011390624,0.00033612025,0.00015543881,0.00012645603,0.000027216929,0.00073325157,0.00010086947,0.00020381498],"category_scores_gemma":[0.0009789099,0.000077690056,0.00022099374,0.0006428046,0.00019980606,0.0002572195,0.00011302758,0.0008036798,5.160153e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026174542,0.000357808,0.004979045,0.00026652619,0.0000150293945,0.0000017098612,0.000030303181,0.0004930721,0.99067956,0.0016416537,0.00015276944,0.0011207865],"study_design_scores_gemma":[0.0009043794,0.00022918411,0.0047647106,0.00045378358,0.000008853643,0.0000067135525,0.000029267767,0.0005963889,0.97697705,0.015072159,0.0008856885,0.00007179676],"about_ca_topic_score_codex":0.000011068889,"about_ca_topic_score_gemma":6.6787686e-7,"teacher_disagreement_score":0.05996026,"about_ca_system_score_codex":0.000106482155,"about_ca_system_score_gemma":0.0006801582,"threshold_uncertainty_score":0.34916335},"labels":[],"label_agreement":null},{"id":"W2004291535","doi":"10.1016/j.jasms.2010.04.012","title":"Microwave-assisted acid and base hydrolysis of intact proteins containing disulfide bonds for protein sequence analysis by mass spectrometry","year":2010,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Peptide bond; Hydrolysis; Lysozyme; Peptide; Peptide sequence; Protein sequencing; Amide; Mass spectrometry; Chromatography; Biochemistry","score_opus":0.010765404289063248,"score_gpt":0.2767711523848157,"score_spread":0.26600574809575245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004291535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63121617,0.000096204596,0.36704284,0.00076621847,0.000011979488,0.00044514058,0.000337067,0.000025144029,0.000059267633],"genre_scores_gemma":[0.55768764,0.000039242554,0.44184697,0.00007039271,0.00008263312,0.00012213906,0.0000137968,0.000033306496,0.00010390647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979135,0.000024183339,0.0008447799,0.00038785947,0.00037924206,0.0004504589],"domain_scores_gemma":[0.9959954,0.00021242334,0.0026892442,0.000643642,0.00028617642,0.00017311407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006880666,0.00031656338,0.00095030764,0.00019335884,0.0002789141,0.00006793645,0.0007398665,0.00013612634,0.00004473685],"category_scores_gemma":[0.00027326623,0.00025069108,0.0016149668,0.0017526294,0.0005101484,0.0001729734,0.00009440295,0.0008125799,1.3302825e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017027823,0.00011079446,0.0023537942,0.00010249197,0.0013078636,7.027491e-7,0.000067038076,0.0000061688274,0.99447244,0.00037059837,0.0001794378,0.0008584029],"study_design_scores_gemma":[0.00072467286,0.00039976145,0.0002648378,0.000047216112,0.0010220308,0.000029385228,0.00082134583,0.0008103071,0.99023974,0.004942163,0.00040523376,0.0002932793],"about_ca_topic_score_codex":0.000037444985,"about_ca_topic_score_gemma":0.0000073764745,"teacher_disagreement_score":0.07480413,"about_ca_system_score_codex":0.00027608103,"about_ca_system_score_gemma":0.00012821854,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W2004299325","doi":"10.1016/j.jprot.2014.01.023","title":"CoreFlow: A computational platform for integration, analysis and modeling of complex biological data","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"H. Lundbeck A/S; Lundbeckfonden; Danmarks Frie Forskningsfond; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Computer science; Data integration; Computational biology; Data science; Data mining; Biology","score_opus":0.12427628281341661,"score_gpt":0.359908406523692,"score_spread":0.23563212371027537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004299325","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22677737,0.000014538367,0.7728056,0.00010680163,0.000004438301,0.00010425388,0.000116984615,0.000007487996,0.00006254355],"genre_scores_gemma":[0.49417466,0.000020428835,0.5056162,0.000016568369,0.0000445019,0.000007350756,0.000113360664,0.000004081264,0.0000028821464],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915916,0.0000061648693,0.00052296504,0.00013124957,0.000099296696,0.00008116561],"domain_scores_gemma":[0.9988123,0.00011652367,0.00050475454,0.00021095692,0.00030817898,0.000047271133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037795992,0.0000820821,0.00028023493,0.00008555785,0.000063138315,0.000018111474,0.00028939743,0.00007409109,0.00001528317],"category_scores_gemma":[0.00016736677,0.00006445207,0.00008457132,0.00011254395,0.000054176136,0.000118947515,0.00008004056,0.000136046,1.0292891e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007554392,0.0003750478,0.0057680793,0.00021977686,0.0009857933,8.401942e-7,0.0002858206,0.19548266,0.71181816,0.057583276,0.0003256414,0.026399497],"study_design_scores_gemma":[0.0003499078,0.000058626272,0.00006084355,0.000020870582,0.000111486144,0.000011572945,0.00004101231,0.917373,0.01259078,0.06911649,0.00019367317,0.00007175262],"about_ca_topic_score_codex":0.000005135475,"about_ca_topic_score_gemma":0.0000033634374,"teacher_disagreement_score":0.72189033,"about_ca_system_score_codex":0.00002300706,"about_ca_system_score_gemma":0.000032767213,"threshold_uncertainty_score":0.2628279},"labels":[],"label_agreement":null},{"id":"W2005497218","doi":"10.1016/j.jprot.2010.04.003","title":"The cancer cell secretome: A good source for discovering biomarkers?","year":2010,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":202,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Proteomics; Biomarker; Cancer; Cancer biomarkers; Prostate cancer; Pancreatic cancer; Medicine; Colorectal cancer; Breast cancer; Computational biology; Bioinformatics; Biology; Internal medicine","score_opus":0.02322681819782219,"score_gpt":0.3413653621722245,"score_spread":0.31813854397440233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005497218","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000034751643,0.8827258,0.115239345,0.00007292047,0.00015127518,0.0010282595,0.00023886422,0.000027189186,0.00048162445],"genre_scores_gemma":[0.0000025305862,0.8737998,0.12312624,0.0000075761586,0.0008922804,0.0010388425,0.000012771072,0.000111448215,0.0010084899],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981293,0.000017551798,0.0010586365,0.00025632782,0.00020077435,0.00033742853],"domain_scores_gemma":[0.99615943,0.00029553298,0.0026658783,0.00056785136,0.00018674292,0.00012453811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050046673,0.00037158452,0.0009182521,0.0000445051,0.00031610398,0.00015684604,0.0011273699,0.00047859288,0.00003771507],"category_scores_gemma":[0.000091462745,0.00023602489,0.00089143624,0.00011182269,0.0000874327,0.00012831323,0.00015455917,0.0012158558,0.0000016500071],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047001864,0.000058821344,0.0000014402486,0.008208216,0.0002507112,0.000002075456,0.0000379937,0.000010384222,0.0086456705,0.0004595099,0.00053373957,0.9817444],"study_design_scores_gemma":[0.00020693334,0.000025905138,1.3481601e-8,0.0030886696,0.00043509167,0.00008062232,0.000044324388,0.00004440597,0.009810586,0.00087388745,0.9851094,0.00028018327],"about_ca_topic_score_codex":0.000016233444,"about_ca_topic_score_gemma":0.000013157179,"teacher_disagreement_score":0.9845756,"about_ca_system_score_codex":0.00035637262,"about_ca_system_score_gemma":0.00057428057,"threshold_uncertainty_score":0.96248156},"labels":[],"label_agreement":null},{"id":"W2006036196","doi":"10.1021/pr1001498","title":"In-Depth Proteomic Analyses of Direct Expressed Prostatic Secretions","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Prostate cancer; Proteomics; Proteome; Human Protein Atlas; Computational biology; Biomarker discovery; Biology; Prostate; Bioinformatics; Cancer; Gene; Biochemistry; Protein expression; Genetics","score_opus":0.08645576712878139,"score_gpt":0.45443474839013265,"score_spread":0.36797898126135126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006036196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98905224,0.00006645766,0.003081881,0.00073697494,0.000022588993,0.00081722497,0.00002510511,0.000019186333,0.0061783255],"genre_scores_gemma":[0.9162222,0.000111682006,0.082430184,0.000004755175,0.00015508561,0.0004312284,0.0000026397877,0.000029342493,0.00061288435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99783623,0.0000857675,0.0007846778,0.000208738,0.0007127685,0.0003718002],"domain_scores_gemma":[0.99783707,0.00022874732,0.0004812918,0.00047902844,0.0008261672,0.00014768037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016801794,0.00013382517,0.00037218063,0.00054737064,0.00010791756,0.00003905172,0.0005960532,0.00015423883,0.00053028855],"category_scores_gemma":[0.0008629986,0.00011052545,0.00014059407,0.00072042807,0.00026766758,0.00027033643,0.000119937344,0.0018030289,0.0000071426985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097091055,0.00023588144,0.0009658984,0.00019932784,0.000023295972,0.000015427477,0.00012318378,0.00003667026,0.9973768,0.00037021594,0.00021629695,0.00033993207],"study_design_scores_gemma":[0.00045835413,0.00011031048,0.00039662194,0.00019274169,0.000009723147,0.000032464675,0.00007497803,0.00018558254,0.9806087,0.016403023,0.0014214675,0.00010601099],"about_ca_topic_score_codex":0.0000676849,"about_ca_topic_score_gemma":0.000016450596,"teacher_disagreement_score":0.0793483,"about_ca_system_score_codex":0.00009108526,"about_ca_system_score_gemma":0.00037848088,"threshold_uncertainty_score":0.78333634},"labels":[],"label_agreement":null},{"id":"W2006206759","doi":"10.1002/prca.201300104","title":"Ensembles of protein termini and specific proteolytic signatures as candidate biomarkers of disease","year":2014,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Biomarker; Biomarker discovery; Proteomics; Computational biology; Proteome; Proteolysis; Disease; Biology; Proteolytic enzymes; Bioinformatics; Medicine; Biochemistry; Pathology; Enzyme; Gene","score_opus":0.03801551632603963,"score_gpt":0.38301905659436825,"score_spread":0.34500354026832863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006206759","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007734209,0.9465783,0.034961864,0.00015433677,0.000022745735,0.014310855,0.0016276501,0.00022124662,0.0013495345],"genre_scores_gemma":[0.00077380816,0.89070225,0.08689671,0.000018211174,0.00021466281,0.02054837,0.00041524778,0.00013962146,0.0002911272],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953492,0.00011119025,0.0027186195,0.0011556823,0.00029279187,0.00037247333],"domain_scores_gemma":[0.99420524,0.00061318086,0.0026984555,0.0018697528,0.00021108182,0.00040230015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006239073,0.0006429422,0.0022194015,0.00017542698,0.00015721424,0.00003780218,0.0009976509,0.00075604493,0.00008097206],"category_scores_gemma":[0.0002865286,0.00057310594,0.00074079377,0.00039909006,0.0009336133,0.00006303162,0.00040069548,0.00090051367,0.000024428236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014899502,0.000743254,0.000036300647,0.044231407,0.00038797277,0.0000018819143,0.000013269964,0.0000012369994,0.004877456,0.038020637,0.00014696561,0.9113906],"study_design_scores_gemma":[0.0003900484,0.00008667547,0.00000396669,0.006310729,0.00065413787,0.0000062240642,0.000006149868,0.000032743486,0.0057287505,0.036881946,0.94917715,0.00072149775],"about_ca_topic_score_codex":0.000022536778,"about_ca_topic_score_gemma":0.000001805375,"teacher_disagreement_score":0.94903016,"about_ca_system_score_codex":0.000068000416,"about_ca_system_score_gemma":0.0005110355,"threshold_uncertainty_score":0.99967206},"labels":[],"label_agreement":null},{"id":"W2006446553","doi":"10.1007/s10969-005-5243-9","title":"Automatic Classification and Pattern Discovery in High-throughput Protein Crystallization Trials","year":2005,"lang":"en","type":"article","venue":"Journal of Structural and Functional Genomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Structural Genomics Consortium","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Crystallization; Protein crystallization; Throughput; Identification (biology); Computer science; Data mining; Process (computing); Pattern recognition (psychology); Artificial intelligence; Biology; Chemistry","score_opus":0.027300690248202256,"score_gpt":0.268737495241601,"score_spread":0.24143680499339876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006446553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614514,0.0002307568,0.037392706,0.0007114173,0.000028326209,0.00011764328,0.000023839817,0.000010212907,0.00003367114],"genre_scores_gemma":[0.97667116,0.0001891892,0.022587338,0.000047009817,0.00036984836,0.000013595812,0.00002220054,0.00000937611,0.00009028027],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999094,0.000016844779,0.0005769443,0.00011997988,0.00010727616,0.00008492907],"domain_scores_gemma":[0.9992755,0.000055971406,0.00049713586,0.00006911276,0.000059987837,0.000042289044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019546003,0.0000994262,0.00022080357,0.000056935314,0.00006999409,0.00006052291,0.00004812402,0.00007290778,0.00007354377],"category_scores_gemma":[0.000043414,0.000078080746,0.000040682095,0.000048270325,0.00004235453,0.00036897574,0.000024981255,0.00016288883,3.9089292e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013895998,0.000029100887,0.0045603067,0.000089422705,0.000039349674,0.0000014666563,0.00012868512,0.0009508109,0.8687559,0.007331341,0.00004482426,0.117929876],"study_design_scores_gemma":[0.009903496,0.00038291857,0.33312866,0.00065925805,0.00030024073,0.0012214782,0.0012344597,0.10852177,0.22543217,0.30361742,0.014058101,0.0015400418],"about_ca_topic_score_codex":0.0000073603574,"about_ca_topic_score_gemma":0.0000063352504,"teacher_disagreement_score":0.6433237,"about_ca_system_score_codex":0.00011645418,"about_ca_system_score_gemma":0.000038186885,"threshold_uncertainty_score":0.31840402},"labels":[],"label_agreement":null},{"id":"W2006768006","doi":"10.1021/pr034039p","title":"Human Serum Proteins Preseparated by Electrophoresis or Chromatography Followed by Tandem Mass Spectrometry","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"Chromatography; Chemistry; Mass spectrometry; Blood proteins; Top-down proteomics; Tandem mass spectrometry; Protein mass spectrometry; Electrophoresis; Sample preparation in mass spectrometry; Bottom-up proteomics; Trypsin; Electrospray ionization; Biochemistry; Enzyme","score_opus":0.027954271025333557,"score_gpt":0.365021368452963,"score_spread":0.33706709742762947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006768006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588582,0.0014484582,0.032633312,0.0019247052,0.000015670004,0.0017362797,0.0001247669,0.0001490652,0.003109539],"genre_scores_gemma":[0.939232,0.00068607065,0.055045497,0.000021906953,0.00025521065,0.00069812825,0.000021177793,0.00010958391,0.003930452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963142,0.00010048962,0.0008315604,0.00042098464,0.0013759448,0.00095677766],"domain_scores_gemma":[0.9978212,0.00006438151,0.00051127805,0.0005716945,0.0006492878,0.00038212741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012095302,0.00029331242,0.00049432414,0.00049636303,0.0005465949,0.00017839024,0.0010741947,0.00031200657,0.0008889419],"category_scores_gemma":[0.0001846529,0.00023420002,0.00025642736,0.0017639525,0.00024487445,0.0002765881,0.00012476309,0.0019451178,0.000018384675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017707172,0.00038608263,0.00034213995,0.00010021051,0.000116937794,0.000055335953,0.00003094813,0.0000056461417,0.9854224,0.00018278572,0.013089116,0.000091328664],"study_design_scores_gemma":[0.0014741498,0.0008229587,0.000045616944,0.00018307853,0.000014630049,0.000086665226,0.000076109165,0.000008147431,0.9733571,0.015455049,0.008208055,0.00026846136],"about_ca_topic_score_codex":0.00007152135,"about_ca_topic_score_gemma":0.000006406174,"teacher_disagreement_score":0.022412185,"about_ca_system_score_codex":0.00062310765,"about_ca_system_score_gemma":0.00043362315,"threshold_uncertainty_score":0.97332907},"labels":[],"label_agreement":null},{"id":"W2006987680","doi":"10.1007/s12268-013-0375-0","title":"Fluoreszenzmarkierung von Proteinen für 1D- und 2D-PAGE","year":2013,"lang":"de","type":"article","venue":"BIOspektrum","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Electrophoresis Solutions (Canada)","funders":"","keywords":"Labelling; Chemistry; Fluorescence; Silver stain; Electrophoresis; Multiplex; Fluorescent labelling; Staining; Chromatography; Gel electrophoresis of proteins; Molecular biology; Polyacrylamide gel electrophoresis; Biochemistry; Biology; Enzyme; Bioinformatics","score_opus":0.009831222107996024,"score_gpt":0.2786721696828463,"score_spread":0.2688409475748503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006987680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63678813,0.071550384,0.04811963,0.05814595,0.0026199962,0.023844277,0.0025901285,0.0056428006,0.15069869],"genre_scores_gemma":[0.86630523,0.0024605792,0.08935788,0.0007458635,0.0029753211,0.0030307104,0.0005062521,0.0003495857,0.034268565],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970959,0.00003437836,0.0007023393,0.00090501184,0.00034990982,0.0009125039],"domain_scores_gemma":[0.99752486,0.00006215932,0.00039516072,0.001518973,0.00013509314,0.00036373662],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015159929,0.000576781,0.00045846798,0.00008212247,0.00036933488,0.0002607116,0.0008353642,0.00059746247,0.0037699505],"category_scores_gemma":[0.00006340826,0.0005887597,0.00024912762,0.00034416417,0.00023718529,0.00028784524,0.00044138945,0.0007110219,0.0051173363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005367895,0.00049389846,0.0029298738,0.00059571513,0.00039145903,0.000022961094,0.00017284983,0.000005282677,0.90792847,0.021843554,0.039830353,0.0257319],"study_design_scores_gemma":[0.0004897071,0.00007573654,0.00051905285,0.00020051164,0.00015013618,0.000004820649,0.000039433067,0.0007708347,0.61225116,0.026389835,0.35828495,0.0008237938],"about_ca_topic_score_codex":0.00039380055,"about_ca_topic_score_gemma":0.00000876434,"teacher_disagreement_score":0.31845462,"about_ca_system_score_codex":0.0002387044,"about_ca_system_score_gemma":0.00010970814,"threshold_uncertainty_score":0.9996564},"labels":[],"label_agreement":null},{"id":"W2008317045","doi":"10.1021/ac001196o","title":"Implementation and Uses of Automated de Novo Peptide Sequencing by Tandem Mass Spectrometry","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":292,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research & Development Corporation","funders":"","keywords":"Chemistry; Tandem mass spectrometry; Sequence database; Mass spectrometry; Database; Isobaric labeling; Computational biology; Database search engine; Peptide mass fingerprinting; Tandem; False positive paradox; Computer science; Search engine; Protein mass spectrometry; Chromatography; Information retrieval; Proteomics; Artificial intelligence; Biochemistry","score_opus":0.014837848479483797,"score_gpt":0.318572588763185,"score_spread":0.30373474028370123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008317045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97002053,0.00005860058,0.015229358,0.00013185867,0.0000012778596,0.000041832758,0.000040817038,0.00022183478,0.01425388],"genre_scores_gemma":[0.9825426,0.00013520323,0.016471239,0.000038643844,0.000037494163,0.000019176347,0.00006456403,0.000016404874,0.00067470426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99917936,0.0000033002077,0.00025710015,0.0002208526,0.0001148759,0.00022449017],"domain_scores_gemma":[0.99950427,0.000054027423,0.000101217665,0.0001978214,0.000041357634,0.00010129906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007142495,0.00011861086,0.00016004586,0.000014620754,0.000051290004,0.000017940049,0.00011092934,0.0001064133,0.0006246663],"category_scores_gemma":[0.0000349773,0.0001268635,0.00004525664,0.00015597971,0.000081400976,0.00005256892,0.000035865596,0.00014599007,0.0000014231472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000512626,0.000018174698,0.023985751,0.00006208427,0.000023386548,0.000005299027,0.000011217254,0.0000053383897,0.97508156,0.00017799046,0.00046871282,0.00015535422],"study_design_scores_gemma":[0.00021384806,0.000006268848,0.00009665469,0.000022383918,0.000030691208,0.000047759706,0.00033489187,0.0035168526,0.99286586,0.0019850868,0.00074287486,0.00013681344],"about_ca_topic_score_codex":0.000037408478,"about_ca_topic_score_gemma":0.0000015198236,"teacher_disagreement_score":0.023889096,"about_ca_system_score_codex":0.00016367435,"about_ca_system_score_gemma":0.000044533732,"threshold_uncertainty_score":0.6839658},"labels":[],"label_agreement":null},{"id":"W2008729151","doi":"10.3109/13813455.2010.485206","title":"The Lucid Proteomics System for top-down biomarker research","year":2010,"lang":"en","type":"review","venue":"Archives of Physiology and Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Proteomics; Biomarker; Biomarker discovery; Proteome; Profiling (computer programming); Computational biology; Top-down proteomics; Computer science; Workflow; Mass spectrometry; Bioinformatics; Chemistry; Chromatography; Biology; Tandem mass spectrometry; Database; Selected reaction monitoring","score_opus":0.03786406462810085,"score_gpt":0.369305363170962,"score_spread":0.3314412985428612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008729151","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090237934,0.9931893,0.0003928449,0.00004622869,0.000036285113,0.001034572,0.000529071,0.00006655671,0.003802798],"genre_scores_gemma":[0.0007925511,0.98517585,0.010203678,0.0000024923345,0.0002445465,0.0022977442,0.00030967343,0.000041063093,0.00093240844],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851763,0.00003920592,0.00046728307,0.0005307894,0.0000809271,0.0003641334],"domain_scores_gemma":[0.9973508,0.001306637,0.00037263974,0.00083486934,0.000062959116,0.00007211168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024771667,0.0002802556,0.0006721184,0.000037905163,0.00046198347,0.00001812459,0.00070278934,0.0005326623,0.0000067706],"category_scores_gemma":[0.00010995188,0.00018364053,0.00031052987,0.000083513405,0.0011826751,0.000012623505,0.00033779052,0.00086705,0.0000013437286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038947634,0.0000260866,4.36342e-7,0.025696136,0.000066711946,2.2067984e-7,0.0000078789835,1.7655024e-8,0.6270614,0.0015832236,0.00008451522,0.34543443],"study_design_scores_gemma":[0.0000887881,0.000014232728,2.6111908e-7,0.0021663394,0.000064035,0.000019963241,0.00003036821,0.00001344212,0.41651395,0.003994385,0.5769205,0.00017372174],"about_ca_topic_score_codex":0.0000037869306,"about_ca_topic_score_gemma":3.6923987e-7,"teacher_disagreement_score":0.576836,"about_ca_system_score_codex":0.000018340077,"about_ca_system_score_gemma":0.00016596181,"threshold_uncertainty_score":0.74886435},"labels":[],"label_agreement":null},{"id":"W2008897692","doi":"10.1002/pmic.201000039","title":"Expanding the mouse embryonic stem cell proteome: Combining three proteomic approaches","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; U.S. Public Health Service; National Institutes of Health","keywords":"Proteome; Embryonic stem cell; Proteomics; Gene isoform; Biology; Induced pluripotent stem cell; Cell biology; Protein isoform; Peptide; Cell culture; Stem cell; Cell; Molecular biology; Computational biology; Biochemistry; Genetics; Gene","score_opus":0.030542644366359777,"score_gpt":0.25405104961720615,"score_spread":0.22350840525084636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008897692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9166873,0.00004815247,0.072806925,0.00069070084,0.000062086,0.0031702446,0.000043865643,0.0006444957,0.005846203],"genre_scores_gemma":[0.8274706,0.000023616363,0.16160344,0.00005904858,0.0002971155,0.008031754,0.000036615555,0.00014604544,0.0023317654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976975,0.00002480453,0.00052122434,0.0007302663,0.00031833508,0.00070787116],"domain_scores_gemma":[0.997697,0.00007775544,0.00047109782,0.0015020029,0.00008283207,0.00016930597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052995066,0.00046356767,0.0003584942,0.000072981,0.00080861966,0.00023070253,0.0012341443,0.00037462864,0.00013599038],"category_scores_gemma":[0.000033222528,0.00036640605,0.00019025413,0.00025979168,0.00028941777,0.00025118934,0.0004095362,0.001890875,0.0000734851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004112247,0.00011562652,0.001013345,0.00014156789,0.000019522777,0.0000013871329,0.00022459248,0.00007360099,0.9912691,0.0047271396,0.00007696603,0.0022960205],"study_design_scores_gemma":[0.00054939155,0.000028847842,0.000025362562,0.000028957016,0.000024140587,0.000026013988,0.00019377073,0.0025779912,0.98545754,0.009161497,0.001427179,0.00049933215],"about_ca_topic_score_codex":0.000026217365,"about_ca_topic_score_gemma":0.000024248935,"teacher_disagreement_score":0.089216724,"about_ca_system_score_codex":0.000114316776,"about_ca_system_score_gemma":0.00014320057,"threshold_uncertainty_score":0.99987876},"labels":[],"label_agreement":null},{"id":"W2009278096","doi":"10.1021/ac702197w","title":"Gel-Eluted Liquid Fraction Entrapment Electrophoresis:  An Electrophoretic Method for Broad Molecular Weight Range Proteome Separation","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Chemistry; Chromatography; Fractionation; Proteome; Elution; Electrophoresis; Two-dimensional gel electrophoresis; Fraction (chemistry); Molecular mass; Gel electrophoresis; Mass spectrometry; Analytical Chemistry (journal); Proteomics; Biochemistry","score_opus":0.011676500106983486,"score_gpt":0.31297865116719586,"score_spread":0.30130215106021235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009278096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5045044,0.00022110913,0.49194434,0.00030702146,0.000006221707,0.00047341536,0.000032031727,0.0002684792,0.0022430234],"genre_scores_gemma":[0.8608257,0.0004948266,0.13393557,0.00021900193,0.00039858947,0.0021037143,0.0006139274,0.0001020254,0.0013066041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99796265,0.000019992282,0.00046032784,0.00070251164,0.0003058673,0.0005486485],"domain_scores_gemma":[0.9987001,0.000059616905,0.00017994024,0.00061717164,0.00019178896,0.00025141225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001321931,0.0003240932,0.00034905467,0.00003630428,0.0002550181,0.000032490905,0.00029647865,0.00035017595,0.00047733137],"category_scores_gemma":[0.00007176314,0.0003382879,0.00022553421,0.0002480087,0.00009196677,0.00012565899,0.000035340156,0.00042615185,0.0000103556595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049295544,0.00023002764,0.000027433827,0.00011730059,0.00007056107,0.000012535908,0.00001793616,0.00004571262,0.99766684,0.0006920662,0.0003825776,0.00024407254],"study_design_scores_gemma":[0.0005170456,0.00012542344,0.0000055290543,0.000021633763,0.00011573774,0.000068470115,0.000010576029,0.018163608,0.96997523,0.0031214163,0.0074866107,0.00038873215],"about_ca_topic_score_codex":0.000016145508,"about_ca_topic_score_gemma":5.7711605e-7,"teacher_disagreement_score":0.35800877,"about_ca_system_score_codex":0.00032721105,"about_ca_system_score_gemma":0.00012455344,"threshold_uncertainty_score":0.9999069},"labels":[],"label_agreement":null},{"id":"W2009455674","doi":"10.1074/mcp.m110.005645","title":"Evaluation of Large Scale Quantitative Proteomic Assay Development Using Peptide Affinity-based Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Cancer Institute","keywords":"Multiplex; Peptide; Immunoassay; Chemistry; Antibody; Quantitative proteomics; Isotope dilution; Mass spectrometry; Selected reaction monitoring; Affinity chromatography; Chromatography; Biochemistry; Proteomics; Tandem mass spectrometry; Molecular biology; Biology; Enzyme; Bioinformatics; Immunology","score_opus":0.04763583582376229,"score_gpt":0.30331979533371317,"score_spread":0.2556839595099509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009455674","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5112445,0.00006810173,0.4857099,0.000007667992,0.000012546604,0.0009146301,0.000027796148,0.00007333871,0.0019415162],"genre_scores_gemma":[0.46869063,0.0000021637768,0.5306907,0.000016245216,0.0000120975155,0.00044811456,0.00006321329,0.000054518616,0.000022281003],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997083,0.00019472463,0.00071301137,0.00062873814,0.0008710337,0.00050946284],"domain_scores_gemma":[0.9977952,0.000026186028,0.0006129992,0.0008057288,0.00063261983,0.00012724433],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022812176,0.0003782329,0.00039992222,0.00020532987,0.00021041089,0.000027667866,0.00046694573,0.00026596538,0.00034002718],"category_scores_gemma":[0.00016396333,0.00042572536,0.00019291134,0.0003962118,0.00012026164,0.00011707656,0.00012475133,0.00041913555,0.000021806498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056273253,0.00031476747,0.00036439503,0.00012970358,0.00007703341,0.000006931138,0.00033872348,0.00081619807,0.9963734,0.0013772163,0.000002410256,0.00014294457],"study_design_scores_gemma":[0.0008793086,0.000047014568,0.000031058844,0.00011856966,0.00017641975,0.000003213383,0.00015291301,0.037181653,0.95333064,0.0075806137,0.000049355924,0.00044921247],"about_ca_topic_score_codex":0.000028454859,"about_ca_topic_score_gemma":0.0000058450573,"teacher_disagreement_score":0.044980828,"about_ca_system_score_codex":0.00051345833,"about_ca_system_score_gemma":0.00066082255,"threshold_uncertainty_score":0.99981946},"labels":[],"label_agreement":null},{"id":"W2009589847","doi":"10.1021/pr400710q","title":"“Out-Gel” Tryptic Digestion Procedure for Chemical Cross-Linking Studies with Mass Spectrometric Detection","year":2013,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Western Economic Diversification Canada; Genome British Columbia; Genome Canada","keywords":"Chemistry; Chromatography; Bottom-up proteomics; Mass spectrometry; Digestion (alchemy); Gel electrophoresis; Peptide; Polyacrylamide gel electrophoresis; Two-dimensional gel electrophoresis; Peptide mass fingerprinting; Trypsin; Sample preparation; Proteolysis; Tandem mass spectrometry; Proteomics; Protein mass spectrometry; Biochemistry; Enzyme","score_opus":0.0789299508568631,"score_gpt":0.42163413377560965,"score_spread":0.34270418291874655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009589847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917611,0.000435616,0.079654716,0.0006348618,0.00002086942,0.0012973157,0.0000043620826,0.000052082618,0.0002892027],"genre_scores_gemma":[0.89829504,0.00018122677,0.099090844,0.0000054553047,0.0005048245,0.0012992582,0.0000025055263,0.000039847895,0.00058100384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810374,0.000024661524,0.00047668908,0.00025576112,0.00068074634,0.00045842826],"domain_scores_gemma":[0.9969287,0.0002975503,0.00035962858,0.00023261258,0.0020457506,0.00013577112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009208829,0.00015526135,0.00028737102,0.0003678901,0.0002913842,0.0001642442,0.0003391995,0.00015758326,0.000052550447],"category_scores_gemma":[0.00087136566,0.00011379595,0.00010455255,0.0006391721,0.00018918581,0.0003663628,0.000063507876,0.0010154842,0.000011637096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019157276,0.00007404752,0.0005065484,0.00050340703,0.00006567457,0.0000033123708,0.00010175467,0.000023448616,0.9948827,0.00011773533,0.00004621144,0.003483571],"study_design_scores_gemma":[0.0006733022,0.0004097648,0.00010961949,0.0003151966,0.00001680077,0.00009103663,0.00024721757,0.00034769537,0.96328634,0.033993736,0.00036677954,0.00014250982],"about_ca_topic_score_codex":0.0000036579822,"about_ca_topic_score_gemma":0.000001007803,"teacher_disagreement_score":0.033876,"about_ca_system_score_codex":0.00051060243,"about_ca_system_score_gemma":0.00014398985,"threshold_uncertainty_score":0.4640464},"labels":[],"label_agreement":null},{"id":"W2010157870","doi":"10.1021/ac061017o","title":"Deamidation of -Asn-Gly- Sequences during Sample Preparation for Proteomics:  Consequences for MALDI and HPLC-MALDI Analysis","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of General Medical Sciences","keywords":"Deamidation; Chemistry; Chromatography; Formic acid; Trifluoroacetic acid; Peptide; High-performance liquid chromatography; Residue (chemistry); Elution; Mass spectrometry; Amino acid; Biochemistry; Enzyme","score_opus":0.012732169725713461,"score_gpt":0.2973715175703727,"score_spread":0.2846393478446593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010157870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77454114,0.00004213403,0.22310156,0.00019767045,0.000002374505,0.00036446226,0.00035720784,0.0000667877,0.0013266614],"genre_scores_gemma":[0.8617582,0.000017589773,0.13615265,0.000007958325,0.000094754185,0.00063807005,0.00040784694,0.000013944679,0.00090902904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987573,0.0000040723567,0.0004606754,0.0004148351,0.00012214095,0.00024094367],"domain_scores_gemma":[0.9989913,0.00023330456,0.00026596486,0.00026601102,0.00017920414,0.00006418853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014109658,0.00016290767,0.00030104193,0.000037994756,0.00016602759,0.000041383122,0.00014625836,0.00015924848,0.000086712476],"category_scores_gemma":[0.00018891315,0.0001652305,0.00016959387,0.00021007443,0.00023028115,0.00010815571,0.000031807274,0.00007908464,2.1725022e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012983625,0.000062077444,0.004866545,0.00058852514,0.00014075727,2.9609419e-7,0.000014929713,0.0007348032,0.9846736,0.008657778,0.000043113905,0.00008768977],"study_design_scores_gemma":[0.0002713222,0.000016892862,0.0001244995,0.000023893377,0.00029732307,0.0000030315632,0.00003976762,0.020516422,0.9334414,0.04479032,0.00029044686,0.00018467869],"about_ca_topic_score_codex":0.00008318058,"about_ca_topic_score_gemma":0.000012976054,"teacher_disagreement_score":0.087216996,"about_ca_system_score_codex":0.00006589618,"about_ca_system_score_gemma":0.000057927173,"threshold_uncertainty_score":0.67379045},"labels":[],"label_agreement":null},{"id":"W2010197017","doi":"10.1021/ac9023022","title":"Development of Mass Spectrometry-Based Shotgun Method for Proteome Analysis of 500 to 5000 Cancer Cells","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Chromatography; Proteome; Shotgun; Mass spectrometry; Shotgun proteomics; Trypsin; Lysis; Tandem mass spectrometry; Sample preparation; Pulmonary surfactant; Acetone; Protein precipitation; Proteomics; Biochemistry","score_opus":0.01637816673774169,"score_gpt":0.3418498517142284,"score_spread":0.3254716849764867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010197017","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36449766,0.0000058689307,0.63265437,0.00015886531,0.000006140217,0.00022479071,0.0002781666,0.000043527216,0.0021305976],"genre_scores_gemma":[0.27900034,0.0000013707805,0.7198881,0.00003164896,0.00003960936,0.0004061896,0.00006198128,0.000020283114,0.0005504851],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99846077,0.0000030998604,0.0005826167,0.00042800125,0.00023964318,0.00028584307],"domain_scores_gemma":[0.9986411,0.00014408525,0.00022993627,0.0005871829,0.00021462335,0.00018308431],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022425037,0.00019669977,0.0005213183,0.000104807914,0.000050677696,0.000010332009,0.00038666386,0.00020827088,0.0018986539],"category_scores_gemma":[0.000069165704,0.00019469496,0.00029180423,0.0008626873,0.00006800435,0.000020425194,0.000052804153,0.00025305024,0.0000015264811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042795404,0.00011134436,0.00028734028,0.00028800254,0.00034400477,2.8417742e-7,0.000021151474,0.00042340407,0.9976154,0.00021408532,0.000045217665,0.00060696295],"study_design_scores_gemma":[0.00017722428,0.000006935741,0.000028748278,0.000021738317,0.00048382554,1.719721e-7,0.000021148928,0.014936051,0.9806022,0.0004502879,0.0030572766,0.00021438283],"about_ca_topic_score_codex":0.000018291288,"about_ca_topic_score_gemma":0.000012322355,"teacher_disagreement_score":0.08723372,"about_ca_system_score_codex":0.00008186152,"about_ca_system_score_gemma":0.00019034914,"threshold_uncertainty_score":0.9990137},"labels":[],"label_agreement":null},{"id":"W2010699022","doi":"10.1002/pmic.200300588","title":"Further advances in the development of a data interchange standard for proteomics data","year":2003,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publication; Proteomics; Data science; Computer science; Library science; Political science; Chemistry; Law","score_opus":0.10201557161754458,"score_gpt":0.3718554415062255,"score_spread":0.2698398698886809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010699022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030139009,0.00051237823,0.9633217,0.00031299694,0.000019015888,0.0025397895,0.0015248244,0.000052667507,0.001577635],"genre_scores_gemma":[0.049201522,0.00021352936,0.94801867,0.000044495257,0.00004225131,0.0018409644,0.00056323805,0.000035687433,0.00003965233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851024,0.000024353702,0.000509141,0.00051288964,0.0001736188,0.0002697605],"domain_scores_gemma":[0.99743664,0.00009977785,0.000257217,0.002101512,0.000072369825,0.00003248904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010811026,0.00017790627,0.00022829833,0.000040677634,0.00009731116,0.000028978719,0.0020991208,0.000097658,0.000032880103],"category_scores_gemma":[0.00023453831,0.00014061412,0.000026312471,0.00014868838,0.00007878999,0.00040848344,0.0004538552,0.00022622444,0.0000017863938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017238859,0.0016201596,0.004564387,0.0039070793,0.00020842244,0.0000047760827,0.015574647,0.00011216364,0.56404775,0.069103375,0.0013368813,0.33779648],"study_design_scores_gemma":[0.0009413634,0.000040398696,0.000006018364,0.00016537837,0.000020380277,0.0000072823614,0.0012240981,0.0013107877,0.65470475,0.03402067,0.30718163,0.000377288],"about_ca_topic_score_codex":0.000003568958,"about_ca_topic_score_gemma":0.00013279577,"teacher_disagreement_score":0.33741918,"about_ca_system_score_codex":0.000071544615,"about_ca_system_score_gemma":0.0002029914,"threshold_uncertainty_score":0.57340777},"labels":[],"label_agreement":null},{"id":"W2010762697","doi":"10.1016/j.molcel.2009.04.007","title":"Protein Phosphorylation Goes Negative","year":2009,"lang":"en","type":"letter","venue":"Molecular Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Phosphorylation; Biology; Scopus; Molecular biology; Computational biology; Cell biology; Biochemistry; MEDLINE","score_opus":0.006210417096677085,"score_gpt":0.2262685414776586,"score_spread":0.22005812438098152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010762697","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004484701,0.001211612,0.17855705,0.36317328,0.00005237315,0.0024298893,0.00027778698,0.0013043943,0.44850892],"genre_scores_gemma":[0.018930422,0.00013129656,0.3165778,0.542058,0.002250575,0.0028008807,0.0035253263,0.00048796093,0.11323775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987061,0.000015069751,0.000249341,0.0004987782,0.00023396987,0.00029675863],"domain_scores_gemma":[0.9989592,0.000016669728,0.0002526378,0.0006626052,0.00007063053,0.00003828369],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003143503,0.000325328,0.0002366115,0.000043955686,0.00008044444,0.000046202254,0.00033683417,0.0007674777,0.00033993874],"category_scores_gemma":[0.000012541975,0.00034841834,0.00016121603,0.00009923158,0.000045377175,0.000037442816,0.000054582702,0.001360208,0.000093372204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067500227,0.000040804294,9.66984e-7,0.00019765556,0.000018195948,0.0001871484,0.00002725558,0.000021683809,0.69366574,0.00024820011,0.30181673,0.0037688613],"study_design_scores_gemma":[0.00007040762,0.0000086095,8.6655646e-8,0.000040599425,0.000015002267,0.0000011181429,0.000001723196,0.000026459365,0.53220034,0.011723614,0.45569354,0.0002185091],"about_ca_topic_score_codex":0.000019835123,"about_ca_topic_score_gemma":3.3025503e-7,"teacher_disagreement_score":0.33527115,"about_ca_system_score_codex":0.0001143635,"about_ca_system_score_gemma":0.00004505273,"threshold_uncertainty_score":0.99989676},"labels":[],"label_agreement":null},{"id":"W2010774064","doi":"10.1007/s00216-006-0609-9","title":"Advances in the analysis of dynamic protein complexes by proteomics and data processing","year":2006,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Proteomics; Computational biology; Function (biology); Posttranslational modification; Multicellular organism; Signal transduction; Systems biology; Protein function; Data science; Computer science; Variety (cybernetics); Biology; Bioinformatics; Cell biology; Artificial intelligence; Biochemistry","score_opus":0.03131319315627849,"score_gpt":0.3659030723909616,"score_spread":0.3345898792346831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010774064","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035679893,0.9941084,0.0015077488,0.00013746395,9.834395e-7,0.00043000255,0.0013268138,0.000037198322,0.0020946315],"genre_scores_gemma":[0.0034182442,0.9904991,0.0029678287,0.000014701817,0.000037368478,0.00016712726,0.0025303944,0.000033625576,0.00033160724],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997309,0.000028284268,0.0010138701,0.0009856016,0.000306228,0.0003569902],"domain_scores_gemma":[0.9981818,0.00023582448,0.00042685925,0.0009933524,0.00005037789,0.00011177439],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031915202,0.00047768792,0.0017245306,0.00009998523,0.00009594289,0.000096974116,0.00096131756,0.0004313254,0.00004805209],"category_scores_gemma":[0.00009979079,0.00031456028,0.00024301239,0.0011496949,0.0007714572,0.00012658886,0.0004170493,0.0007133923,4.5374077e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021283095,0.00050446606,0.00010039135,0.03846506,0.00065364863,0.000014298199,0.00001167987,0.000001569334,0.0008465413,0.0008665151,0.00012105559,0.9583935],"study_design_scores_gemma":[0.00039274865,0.000026031126,0.0000068061513,0.0060855513,0.016865885,0.000054663065,0.00012326977,0.065267526,0.0007838331,0.003404932,0.9054135,0.001575251],"about_ca_topic_score_codex":0.00003404106,"about_ca_topic_score_gemma":0.000020819256,"teacher_disagreement_score":0.9568182,"about_ca_system_score_codex":0.00005392215,"about_ca_system_score_gemma":0.00008478733,"threshold_uncertainty_score":0.9999306},"labels":[],"label_agreement":null},{"id":"W2011366293","doi":"10.1021/pr070509u","title":"The Identification and Characterization of Membranome Components","year":2008,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Integral membrane protein; Membrane protein; Membrane; Transmembrane protein; Peripheral membrane protein; Glycoprotein; Biochemistry; Chemistry; Proteome; Protein–lipid interaction; Membrane glycoproteins; Cytosol; Proteomics; Cell membrane; Biology; Enzyme; Receptor","score_opus":0.07562419360915727,"score_gpt":0.36331209716126733,"score_spread":0.28768790355211005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011366293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943216,0.00011039557,0.00437873,0.00072745705,0.000010040737,0.00019614563,0.0000067585174,0.0000059412796,0.00024293225],"genre_scores_gemma":[0.9949904,0.0019736441,0.0021519435,0.0000020091472,0.00007580633,0.00004419309,0.0000040642253,0.000009166129,0.0007487924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989085,0.000041440206,0.00043989983,0.00007703963,0.00040623482,0.00012688783],"domain_scores_gemma":[0.9987458,0.000095399366,0.00038146574,0.00018585018,0.0005405841,0.000050873692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009977893,0.00004674309,0.00010612441,0.000086224245,0.00030894467,0.000023678731,0.00024590176,0.000046225887,0.000020843174],"category_scores_gemma":[0.000114039794,0.0000330439,0.000034643814,0.00016950082,0.00022298002,0.00013633694,0.00005937192,0.00031952464,0.0000021109122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004628879,0.000035583962,0.00053320767,0.00004126238,0.000009347889,0.000001569654,0.00007382288,6.767125e-7,0.9973622,0.00049644866,0.000015486883,0.0013840868],"study_design_scores_gemma":[0.00018624449,0.00003434948,0.0060075573,0.000049552567,0.000002809963,0.000078665,0.000032305918,0.00014555882,0.9858612,0.00290486,0.004658274,0.000038634837],"about_ca_topic_score_codex":0.0000040723394,"about_ca_topic_score_gemma":1.7991319e-7,"teacher_disagreement_score":0.01150103,"about_ca_system_score_codex":0.000040189894,"about_ca_system_score_gemma":0.000054043994,"threshold_uncertainty_score":0.23761839},"labels":[],"label_agreement":null},{"id":"W2012145163","doi":"10.1002/pmic.201000186","title":"Identification of proteins secreted by head and neck cancer cell lines using LC‐MS/MS: Strategy for discovery of candidate serological biomarkers","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada); York University; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Serology; Biomarker discovery; Proteomics; Biology; Computational biology; Antibody; Immunology; Biochemistry; Gene","score_opus":0.03859526341031861,"score_gpt":0.3057828576127777,"score_spread":0.2671875942024591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012145163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8642283,0.0002561733,0.13336775,0.000018900779,0.000009360578,0.0011266201,0.0008433473,0.000036354555,0.00011317961],"genre_scores_gemma":[0.90665174,0.0003046737,0.091980666,0.000007741712,0.000026447136,0.00083471026,0.000078079094,0.000027602346,0.00008835238],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989238,0.00001067777,0.00048568967,0.0003082654,0.000082605395,0.00018896957],"domain_scores_gemma":[0.9989892,0.000019054369,0.00053248304,0.00028312166,0.00012817908,0.00004793155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113165916,0.00016289543,0.0002407463,0.000025311472,0.000074577896,0.000018765333,0.00017695513,0.0001709601,0.000026870088],"category_scores_gemma":[0.000020694899,0.00015294482,0.00006187692,0.00008640007,0.00014132228,0.00019866007,0.00006041408,0.000094153336,1.1872544e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002341321,0.000099942205,0.0022375663,0.00039784444,0.000028115785,1.15646344e-7,0.00008115225,0.000034677927,0.99630165,0.00026097478,0.000013160804,0.00031066293],"study_design_scores_gemma":[0.00043753692,0.00007060482,0.00016102647,0.00006426382,0.000038319027,0.000001352982,0.000057970017,0.004897782,0.99071604,0.0033546106,0.000039027804,0.00016144163],"about_ca_topic_score_codex":0.0016692169,"about_ca_topic_score_gemma":0.000086523956,"teacher_disagreement_score":0.04242341,"about_ca_system_score_codex":0.000056378947,"about_ca_system_score_gemma":0.00007042044,"threshold_uncertainty_score":0.6236909},"labels":[],"label_agreement":null},{"id":"W2012456076","doi":"10.1074/mcp.m110.000679","title":"Rare Cell Proteomic Reactor Applied to Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)-based Quantitative Proteomics Study of Human Embryonic Stem Cell Differentiation","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Stable isotope labeling by amino acids in cell culture; Proteomics; Embryonic stem cell; Quantitative proteomics; Chemistry; Cell; Biology; Cellular differentiation; Cell biology; Computational biology; Biochemistry; Gene","score_opus":0.009182656666263183,"score_gpt":0.24551762412385786,"score_spread":0.23633496745759466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012456076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9098901,0.000085074906,0.07973602,0.000036196638,0.000041657317,0.008952725,0.00020741837,0.00021451699,0.00083626737],"genre_scores_gemma":[0.8679184,0.000008862114,0.12598448,0.00004759748,0.000036659432,0.0047220173,0.0004441167,0.0002244674,0.00061345944],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99567217,0.0001210677,0.001254004,0.0014352226,0.00063645263,0.00088106963],"domain_scores_gemma":[0.9966422,0.00004009975,0.0010343196,0.00167744,0.00031311595,0.00029283037],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045584305,0.000863407,0.0009163241,0.00028643527,0.00029628057,0.00015271422,0.0011466326,0.0006808575,0.00006524845],"category_scores_gemma":[0.000022307291,0.00093498954,0.0002159557,0.00068067765,0.00010254625,0.00017433251,0.00034294956,0.0017154596,0.000023187773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021096005,0.00238919,0.0018967096,0.00062917307,0.000023114097,0.000012571666,0.0012990271,0.0010923907,0.9921286,0.00023813263,0.000040200375,0.000039904564],"study_design_scores_gemma":[0.0031399052,0.00049713225,0.00003219661,0.00008476399,0.00008833066,8.0677046e-7,0.0010227055,0.001381596,0.9922839,0.0003464584,0.00015266235,0.00096958835],"about_ca_topic_score_codex":0.00014260679,"about_ca_topic_score_gemma":0.00005756332,"teacher_disagreement_score":0.04624846,"about_ca_system_score_codex":0.00031933005,"about_ca_system_score_gemma":0.00020417041,"threshold_uncertainty_score":0.9993101},"labels":[],"label_agreement":null},{"id":"W2012913476","doi":"10.1074/mcp.m900223-mcp200","title":"Performance Metrics for Liquid Chromatography-Tandem Mass Spectrometry Systems in Proteomics Analyses","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; University of California, San Francisco; National Institutes of Health; University of North Carolina at Chapel Hill; University of British Columbia; Broad Institute; Memorial Sloan-Kettering Cancer Center; Indiana University-Purdue University Indianapolis; Lawrence Berkeley National Laboratory; University of Victoria; University of Arizona; Massachusetts General Hospital; York University; National Institute of Standards and Technology; Vanderbilt University; School of Medicine, Vanderbilt University; Buck Institute for Research on Aging; Purdue University; University of Washington","keywords":"Chromatography; Mass spectrometry; Tandem mass spectrometry; Chemistry; Proteomics; Liquid chromatography–mass spectrometry; Top-down proteomics; Selected reaction monitoring; Biochemistry","score_opus":0.017978476945393583,"score_gpt":0.28030020923082677,"score_spread":0.2623217322854332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012913476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5493654,0.0008002734,0.44694036,0.00007706013,0.000026217156,0.0016351036,0.00003312974,0.00019405926,0.0009283824],"genre_scores_gemma":[0.6670357,0.00024295818,0.33110762,0.00006404649,0.000093795854,0.001182176,0.00011502732,0.00007592115,0.00008273056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99704695,0.000036852703,0.00086884503,0.00084064296,0.0003960537,0.0008106478],"domain_scores_gemma":[0.99812496,0.000042917196,0.00044842824,0.0010228886,0.00017850209,0.00018232403],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045278846,0.000522909,0.00065267936,0.00057482946,0.00021104726,0.00013555634,0.0007305286,0.00044244798,0.000018058741],"category_scores_gemma":[0.0000920674,0.0005683947,0.00035297935,0.0014565255,0.00008306129,0.00018827878,0.00007148821,0.00056785025,0.000007130802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010784488,0.00016394777,0.00041196783,0.00021702734,0.000047064692,0.00002025066,0.00002237822,0.0022632321,0.9941236,0.002375934,0.00001473743,0.00023201022],"study_design_scores_gemma":[0.00080773205,0.00028948157,0.000026483902,0.00012729598,0.000065611894,0.00001679611,0.00004129255,0.025024617,0.96978337,0.0025959811,0.000580795,0.0006405324],"about_ca_topic_score_codex":0.000021226419,"about_ca_topic_score_gemma":9.640695e-7,"teacher_disagreement_score":0.11767031,"about_ca_system_score_codex":0.0003420686,"about_ca_system_score_gemma":0.00011093785,"threshold_uncertainty_score":0.99967676},"labels":[],"label_agreement":null},{"id":"W2013105412","doi":"10.1002/rcm.4377","title":"Enrichment and analysis of phosphopeptides under different experimental conditions using titanium dioxide affinity chromatography and mass spectrometry","year":2009,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Phosphopeptide; Chemistry; Chromatography; Elution; Mass spectrometry; Affinity chromatography; Matrix-assisted laser desorption/ionization; Electrospray ionization; Adsorption; Peptide; Desorption; Biochemistry; Organic chemistry; Enzyme","score_opus":0.021394929226201353,"score_gpt":0.31050922112830237,"score_spread":0.28911429190210103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013105412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9481206,0.006062491,0.042386863,0.00028315646,0.000007758,0.00024118433,0.00013302903,0.00010589254,0.0026590482],"genre_scores_gemma":[0.7689826,0.0031811954,0.22759813,0.00003541524,0.000009070697,0.000062119354,0.000103560145,0.000015883163,0.0000120357245],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985265,0.00004344308,0.00053767033,0.0003893244,0.00019353502,0.00030953184],"domain_scores_gemma":[0.99788785,0.00021128342,0.00027804956,0.0014755316,0.00004341657,0.00010385731],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016073712,0.00026336673,0.0005136551,0.0009136996,0.00026889145,0.0000496538,0.0005321542,0.00012643568,0.00026333594],"category_scores_gemma":[0.000017342138,0.0002834373,0.00016142822,0.001893179,0.00032742892,0.00014241823,0.00021975396,0.00037336705,5.596174e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011191136,0.0004510089,0.022951778,0.000014949532,0.00027026,5.59727e-7,0.000066974404,0.000052099298,0.94994164,0.026146822,0.000005958449,0.00008674086],"study_design_scores_gemma":[0.0006514924,0.00010825478,0.07879035,0.000075762255,0.00046237718,0.00001034258,0.0014982057,0.005336352,0.8864069,0.026112584,0.000049818733,0.0004975537],"about_ca_topic_score_codex":0.000037857455,"about_ca_topic_score_gemma":0.000010853825,"teacher_disagreement_score":0.18521127,"about_ca_system_score_codex":0.0002662713,"about_ca_system_score_gemma":0.000019979718,"threshold_uncertainty_score":0.9999618},"labels":[],"label_agreement":null},{"id":"W2013359618","doi":"10.1002/pmic.201200526","title":"Coupling proteomics and transcriptomics in the quest of subtype‐specific proteins in breast cancer","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Proteome; Proteomics; Biology; Transcriptome; Tissue microarray; In silico; Microarray analysis techniques; Cancer research; Cancer; Estrogen receptor; Microarray; Oncology; Computational biology; Bioinformatics; Gene expression; Medicine; Gene; Genetics","score_opus":0.012852722453689692,"score_gpt":0.2519283513900035,"score_spread":0.23907562893631384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013359618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872769,0.00030370886,0.007331969,0.0016418849,0.000013870731,0.002844554,0.000097455144,0.00005284421,0.0004367795],"genre_scores_gemma":[0.92594796,0.0013011905,0.06680921,0.00006361494,0.00006812685,0.005717751,0.000013364435,0.00004555725,0.000033196866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985379,0.000016720824,0.00055037707,0.00038577075,0.00016122089,0.00034801287],"domain_scores_gemma":[0.99913454,0.000044561202,0.00021915331,0.0004556593,0.00009197857,0.00005412931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029709438,0.0002348359,0.0003003697,0.000094130686,0.0000741488,0.000058843754,0.0004269672,0.00019626439,0.00008223281],"category_scores_gemma":[0.000014421452,0.00019752975,0.00005174497,0.0002972307,0.0001694708,0.00020554279,0.000060452454,0.00056788017,0.0000035567455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007805997,0.00020850774,0.03159378,0.0002591767,0.000008215421,0.0000018647302,0.0007998805,0.0004310325,0.95908076,0.005931477,0.00003161933,0.0015756204],"study_design_scores_gemma":[0.00225789,0.00005337157,0.017879816,0.0007266313,0.000021311267,0.00007018744,0.0010907748,0.022045996,0.9200111,0.033872265,0.0009960226,0.0009746157],"about_ca_topic_score_codex":0.001147945,"about_ca_topic_score_gemma":0.0001724739,"teacher_disagreement_score":0.06132894,"about_ca_system_score_codex":0.0001367719,"about_ca_system_score_gemma":0.0000820188,"threshold_uncertainty_score":0.80550295},"labels":[],"label_agreement":null},{"id":"W2014381904","doi":"10.1021/pr1008652","title":"<i>In Silico</i> Protein Interaction Analysis Using the Global Proteome Machine Database","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"In silico; Proteome; Protein–protein interaction; Computational biology; Proteomics; Human proteome project; Immunoprecipitation; Histone; Biology; Cell biology; Database; Bioinformatics; Biochemistry; Computer science; Gene","score_opus":0.055931054395909736,"score_gpt":0.43784715011771214,"score_spread":0.3819160957218024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014381904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96817136,0.00008602063,0.026698155,0.0028311247,0.00003684368,0.0011797887,0.00007088337,0.000022593693,0.0009032095],"genre_scores_gemma":[0.91417325,0.000029974717,0.08468372,0.00003067884,0.0004108913,0.00036642008,0.000008440606,0.000025189102,0.00027142564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99752563,0.0001389248,0.00070983754,0.0002855038,0.0008787028,0.00046139592],"domain_scores_gemma":[0.99790525,0.00010560707,0.0004693163,0.0007250939,0.00058885885,0.00020589198],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0029054706,0.00016998146,0.00032019173,0.00039274083,0.00027365243,0.00013458835,0.00086472864,0.00015034921,0.00054393464],"category_scores_gemma":[0.0006961471,0.00011854685,0.00021219476,0.0020304762,0.00020312525,0.00052360573,0.00026759488,0.0028665927,0.0000084213525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017343689,0.00019086467,0.0015951034,0.0000631397,0.000084314684,0.00003433526,0.00004329054,0.0001542931,0.9962293,0.0008502484,0.00005034485,0.0005313312],"study_design_scores_gemma":[0.00063305313,0.00009485374,0.00010231626,0.0001655995,0.00008274514,0.00027912657,0.00021507854,0.010122507,0.9656536,0.013375878,0.009038044,0.00023722636],"about_ca_topic_score_codex":0.00037462293,"about_ca_topic_score_gemma":0.00018698993,"teacher_disagreement_score":0.057985563,"about_ca_system_score_codex":0.0003612489,"about_ca_system_score_gemma":0.000316467,"threshold_uncertainty_score":0.9994338},"labels":[],"label_agreement":null},{"id":"W2014423595","doi":"10.1016/j.jprot.2010.06.003","title":"Novel post-digest isotope coded protein labeling method for phospho- and glycoproteome analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Computational biology; Computer science; Biology","score_opus":0.011439888146655851,"score_gpt":0.3019365393416533,"score_spread":0.29049665119499746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014423595","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37350255,0.00004607703,0.6247478,0.00067964866,0.000025827934,0.00074253365,0.000115264105,0.00003463865,0.00010566307],"genre_scores_gemma":[0.07820724,0.000026738915,0.92066425,0.000091217866,0.00024169772,0.0003857669,0.000014857549,0.000047650923,0.00032055544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838513,0.000010569172,0.0007743541,0.00030577992,0.00022004303,0.0003041466],"domain_scores_gemma":[0.9975726,0.00010994531,0.001009327,0.00040397863,0.00071440276,0.0001897563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080056244,0.00024699353,0.000537351,0.0001916594,0.00020888478,0.00010450713,0.00041049146,0.00027215437,0.000078121244],"category_scores_gemma":[0.00038140028,0.00022148335,0.0003038333,0.000326532,0.00007407076,0.00022505777,0.00009267059,0.0008501714,0.0000010511825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022111808,0.00011195511,0.00017064608,0.0000792308,0.00022435962,0.000001968392,0.000076602475,0.00013233496,0.99430305,0.002814321,0.000010068626,0.0018543325],"study_design_scores_gemma":[0.0010929394,0.00011736749,0.000032304437,0.000050416824,0.0003442346,0.00011370029,0.000057362144,0.0044513433,0.9843969,0.0065246737,0.0025384976,0.00028026334],"about_ca_topic_score_codex":0.00005659313,"about_ca_topic_score_gemma":0.000035436507,"teacher_disagreement_score":0.29591647,"about_ca_system_score_codex":0.00006088816,"about_ca_system_score_gemma":0.000143649,"threshold_uncertainty_score":0.90318286},"labels":[],"label_agreement":null},{"id":"W2014519657","doi":"10.1186/1471-2105-8-483","title":"PARPs database: A LIMS systems for protein-protein interaction data mining or laboratory information management system","year":2007,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada); Université Laval; Bausch Health (Canada)","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Proteome; Pipeline (software); Computer science; Database search engine; Annotation; Computational biology; Database; Data management; Tandem mass spectrometry; Bioinformatics; Data mining; Mass spectrometry; Information retrieval; Chemistry; Biology; Search engine","score_opus":0.04278753517543161,"score_gpt":0.3111294744298611,"score_spread":0.2683419392544295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014519657","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043804627,0.00004458655,0.9865481,0.000014492037,0.00009241961,0.0024076202,0.0015169757,0.00050736655,0.0044879448],"genre_scores_gemma":[0.012587515,0.00002206243,0.9818869,0.000037091344,0.0001536209,0.0014759569,0.0032939268,0.000032300446,0.00051059073],"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806947,0.000008248343,0.0010657307,0.00020016075,0.00028782905,0.00036859224],"domain_scores_gemma":[0.9975316,0.000070669215,0.0007480159,0.0013577213,0.00018280224,0.00010920591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008559871,0.00023977029,0.00022333648,0.00014303646,0.00024193771,0.00019808658,0.00064217095,0.00015374257,0.0000139401145],"category_scores_gemma":[0.000098054516,0.00021170304,0.000040764702,0.00026661524,0.000032295262,0.0019881686,0.00033624598,0.00017336536,0.000047972375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062862895,0.0011418939,0.00037964876,0.31516892,0.0012241238,0.000055810746,0.0063224547,0.004609149,0.05137809,0.24623959,0.05454508,0.31264895],"study_design_scores_gemma":[0.0012026253,0.00006366413,0.0000026919697,0.0023844945,0.00008356102,0.000038430873,0.023280226,0.6403141,0.032811638,0.000044899603,0.29914975,0.00062390225],"about_ca_topic_score_codex":0.000013459989,"about_ca_topic_score_gemma":0.00001005197,"teacher_disagreement_score":0.635705,"about_ca_system_score_codex":0.00025891536,"about_ca_system_score_gemma":0.00007814133,"threshold_uncertainty_score":0.86329997},"labels":[],"label_agreement":null},{"id":"W2015407064","doi":"10.1083/jcb.200805092","title":"Identifying specific protein interaction partners using quantitative mass spectrometry and bead proteomes","year":2008,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":446,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Medical Research Council; Engineering and Physical Sciences Research Council; Wellcome Trust; University of Dundee","keywords":"Tandem affinity purification; Stable isotope labeling by amino acids in cell culture; Proteome; Biology; Protein–protein interaction; Quantitative proteomics; Immunoprecipitation; Mass spectrometry; Affinity chromatography; Plasma protein binding; Fusion protein; Computational biology; Biochemistry; Proteomics; Chemistry; Chromatography; Recombinant DNA; Enzyme","score_opus":0.07324135592246396,"score_gpt":0.3588865964644963,"score_spread":0.28564524054203233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015407064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8799964,0.00056347175,0.1184228,0.00008119555,0.00002270348,0.00012381286,0.000002627506,0.000012052903,0.000774911],"genre_scores_gemma":[0.8701191,0.0007933338,0.1288863,0.000009387971,0.00008917358,0.0000068717186,0.0000011773118,0.000010271821,0.000084379935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993782,0.000045342,0.0002905596,0.0000917437,0.00006086625,0.00013325935],"domain_scores_gemma":[0.99920297,0.00008212094,0.00047946538,0.00012240556,0.000077899065,0.00003517184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020982441,0.00009364216,0.00016236391,0.0000688226,0.00015877541,0.000009926261,0.0001496568,0.000065077984,0.000097248],"category_scores_gemma":[0.000021417687,0.00006472713,0.000045911795,0.00008659902,0.0001689555,0.000095795265,0.00003493463,0.00034242787,0.0000037227255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069811074,0.00001762802,0.00012924969,0.000015099178,0.000014797723,0.0000037732275,0.00019557714,0.000018040282,0.9987139,0.0006561286,0.000009823914,0.000156155],"study_design_scores_gemma":[0.00017423466,0.00008071461,0.000021907264,0.000036253285,0.000013033039,0.00019361192,0.00051192706,0.00010748899,0.98602414,0.011822742,0.00093753624,0.00007638016],"about_ca_topic_score_codex":0.000006117674,"about_ca_topic_score_gemma":2.7401117e-7,"teacher_disagreement_score":0.012689746,"about_ca_system_score_codex":0.00006271345,"about_ca_system_score_gemma":0.00002633024,"threshold_uncertainty_score":0.26394957},"labels":[],"label_agreement":null},{"id":"W2015830307","doi":"10.1038/nprot.2010.178","title":"Characterization of the prime and non-prime active site specificities of proteases by proteome-derived peptide libraries and tandem mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteases; Protease; Proteome; Peptide; Peptide library; Tandem mass spectrometry; Biology; Biochemistry; Chemistry; Proteomics; Peptide sequence; Mass spectrometry; Enzyme; Chromatography","score_opus":0.010441102659512699,"score_gpt":0.24725006291760188,"score_spread":0.23680896025808917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015830307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9385561,0.00005385942,0.008140381,0.00008765046,0.000005868784,0.05067828,0.00038400642,0.00008321143,0.002010668],"genre_scores_gemma":[0.8959922,0.000023229648,0.041209016,0.00002698389,0.000051313138,0.0622423,0.000037460304,0.000038525635,0.00037896054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990836,0.000020395577,0.00028891081,0.00028222302,0.00016953336,0.00015536937],"domain_scores_gemma":[0.9989652,0.00002920829,0.00049543916,0.00036282907,0.00010240079,0.00004490839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000654327,0.00019058937,0.00027070215,0.000045009398,0.000099298144,0.000027354148,0.00021776825,0.00027534357,0.0000682264],"category_scores_gemma":[0.000047957918,0.00014495906,0.000048267397,0.00017045156,0.0002839795,0.00024648907,0.00013734253,0.00043158449,3.1739503e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015413067,0.00007315885,0.005854664,0.00023701617,0.000021111522,2.3031137e-7,0.000370189,1.6510711e-8,0.9921325,0.0007347265,0.000012173566,0.0004100721],"study_design_scores_gemma":[0.00031812687,0.00007357361,0.007997833,0.00026935723,0.000012807267,0.0000028028812,0.000067326095,0.000007864549,0.9840706,0.0063615483,0.0006675765,0.00015060006],"about_ca_topic_score_codex":0.000009781225,"about_ca_topic_score_gemma":7.7123224e-7,"teacher_disagreement_score":0.042563863,"about_ca_system_score_codex":0.000023618642,"about_ca_system_score_gemma":0.00005103343,"threshold_uncertainty_score":0.5911259},"labels":[],"label_agreement":null},{"id":"W2016523706","doi":"10.1002/jssc.200800627","title":"Accurate molecular weight analysis of histones using FFE and RP‐HPLC on monolithic capillary columns","year":2009,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Histone; Capillary electrophoresis; Chromatography; Monolithic HPLC column; Chemistry; Capillary action; Proteomics; DNA; Transcription (linguistics); Electrophoresis; Computational biology; High-performance liquid chromatography; Biochemistry; Biology; Materials science; Gene","score_opus":0.02340131610269151,"score_gpt":0.36731055099338095,"score_spread":0.3439092348906894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016523706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92668176,0.00016764745,0.0721451,0.00022429215,0.000011190144,0.000039249957,0.000003548297,0.000006977553,0.00072022324],"genre_scores_gemma":[0.9788085,0.00014111538,0.020888686,0.00009386093,0.000019042609,0.000001114264,8.709508e-7,0.000002696628,0.000044094482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990808,0.000008158623,0.00036351944,0.00013910879,0.00030782996,0.000100616344],"domain_scores_gemma":[0.99886703,0.000023896555,0.0005716489,0.00017619436,0.0002903872,0.000070811504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029252417,0.000070780254,0.00019340095,0.00025754055,0.0001275418,0.00003728003,0.00019359864,0.00004077453,0.000016825317],"category_scores_gemma":[0.000046354857,0.00006338043,0.00006581546,0.0007931882,0.00014806447,0.00029992935,0.000016166337,0.000112921276,2.8007602e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015262049,0.000029953673,0.0002755133,0.0000033750966,0.00001784519,0.000002478313,0.00011297278,0.0072353557,0.9896312,0.0021831,0.0000119953165,0.00048096615],"study_design_scores_gemma":[0.00012626435,0.000066870336,0.002343097,0.00003444816,0.00014441721,0.000025426436,0.00003481741,0.04481486,0.94850546,0.0034812267,0.0003239024,0.00009922369],"about_ca_topic_score_codex":0.0000065004438,"about_ca_topic_score_gemma":8.2579174e-7,"teacher_disagreement_score":0.052126747,"about_ca_system_score_codex":0.000095654905,"about_ca_system_score_gemma":0.000106175554,"threshold_uncertainty_score":0.2584579},"labels":[],"label_agreement":null},{"id":"W2017775069","doi":"10.1021/pr049900v","title":"Two-Dimensional Mass Spectra Generated from the Analysis of <sup>15</sup>N-Labeled and Unlabeled Peptides for Efficient Protein Identification and de novo Peptide Sequencing","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Peptide; Mass spectrometry; Proteome; Peptide mass fingerprinting; Mass spectrum; Bottom-up proteomics; Database search engine; Computational biology; Biochemistry; Proteomics; Chromatography; Tandem mass spectrometry; Protein mass spectrometry; Biology; Gene; Search engine","score_opus":0.041859809947374794,"score_gpt":0.3491746415173491,"score_spread":0.3073148315699743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017775069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595758,0.00057322404,0.038008284,0.0008228221,0.0000031557,0.0009015523,0.000085584325,0.000014248103,0.00001538364],"genre_scores_gemma":[0.8483761,0.00006665781,0.15108666,0.000008769212,0.00011106641,0.00024187787,0.000019486995,0.000021672175,0.00006774216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99801064,0.0000973186,0.0006772362,0.00029302278,0.00058260484,0.00033918413],"domain_scores_gemma":[0.9978094,0.00033923754,0.00045354816,0.00032003334,0.00095708505,0.000120671364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022836258,0.00014739044,0.00034565775,0.00029170339,0.00033407917,0.00010213922,0.00030835537,0.00009283283,0.000028768603],"category_scores_gemma":[0.0004787944,0.000110730085,0.00011813814,0.0007675779,0.00023669506,0.00010275134,0.000084004736,0.00060820236,6.93394e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016922712,0.00007463617,0.00034236262,0.00006977796,0.00024852474,0.000004740977,0.0002712227,0.029383693,0.96842974,0.0006263371,0.000010057249,0.00036967915],"study_design_scores_gemma":[0.0012286718,0.00007849037,0.00035556182,0.00022047358,0.00018585702,0.000022858523,0.00030098695,0.03380123,0.94720227,0.016448986,0.0000304898,0.0001241292],"about_ca_topic_score_codex":0.0001348192,"about_ca_topic_score_gemma":0.00001809739,"teacher_disagreement_score":0.11307837,"about_ca_system_score_codex":0.0003737202,"about_ca_system_score_gemma":0.0003956957,"threshold_uncertainty_score":0.45154417},"labels":[],"label_agreement":null},{"id":"W2017777108","doi":"10.1038/ncponc1187","title":"Strategies for discovering novel cancer biomarkers through utilization of emerging technologies","year":2008,"lang":"en","type":"review","venue":"Nature Clinical Practice Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":786,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Identification (biology); Data science; Computer science; Computational biology; Emerging technologies; Biomarker; Cancer biomarkers; Cancer; Bioinformatics; Risk analysis (engineering); Biology; Medicine; Proteomics; Artificial intelligence; Gene","score_opus":0.1882171952969201,"score_gpt":0.5661340406730772,"score_spread":0.37791684537615705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017777108","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012530645,0.91598964,0.07342484,0.0007653827,0.00029432785,0.0008657824,0.00036392908,0.0002821825,0.008012671],"genre_scores_gemma":[0.000022257896,0.796461,0.20181347,0.00008436824,0.0002354527,0.0010887115,0.00018111336,0.00006254193,0.000051060604],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971763,0.00005961478,0.0015674738,0.0007239877,0.00016511136,0.0003075132],"domain_scores_gemma":[0.99040645,0.005780123,0.0028172398,0.0006419617,0.00031987153,0.00003433703],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00037653052,0.00039491706,0.0017052746,0.00007548061,0.00015794714,0.000020070496,0.00063516333,0.0036060647,0.000024594485],"category_scores_gemma":[0.0046729194,0.00033626435,0.0006029873,0.0003657392,0.00045447564,0.00043336555,0.00023863498,0.0025141202,0.0000014711926],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007571299,0.00034902606,0.0000010450228,0.0042478596,0.00039407169,0.000003949806,0.000021577835,0.0000068516383,0.00006553638,0.025587536,0.00197651,0.9672703],"study_design_scores_gemma":[0.00030732478,0.00009027847,7.90223e-8,0.0018493936,0.00071595144,0.00005789173,0.000686914,0.00003208688,0.00014983967,0.0029613806,0.9928365,0.0003123552],"about_ca_topic_score_codex":0.00003194189,"about_ca_topic_score_gemma":0.000018768698,"teacher_disagreement_score":0.99086,"about_ca_system_score_codex":0.00027620685,"about_ca_system_score_gemma":0.0013384547,"threshold_uncertainty_score":0.9999089},"labels":[],"label_agreement":null},{"id":"W2017867429","doi":"10.1038/nmeth811","title":"Positional proteomics: selective recovery and analysis of N-terminal proteolytic peptides","year":2005,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Natural Environment Research Council; Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Peptide; Computational biology; Bottom-up proteomics; Fragmentation (computing); Chemistry; Proteolysis; Biochemistry; Biology; Tandem mass spectrometry; Mass spectrometry; Chromatography; Enzyme; Protein mass spectrometry; Gene","score_opus":0.00947396870693636,"score_gpt":0.3612006483609493,"score_spread":0.35172667965401294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017867429","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39322188,0.0006449524,0.5983219,0.0003667197,0.00001129664,0.000488632,0.00017270575,0.00011458209,0.006657305],"genre_scores_gemma":[0.20402265,0.000033245695,0.7951528,0.000073717725,0.000078990095,0.00020951769,0.000039948718,0.000012798002,0.0003763661],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991291,0.00004369058,0.000250087,0.00030981083,0.00011995227,0.00014735496],"domain_scores_gemma":[0.9991871,0.00017967784,0.00019245493,0.00025264642,0.00013637585,0.000051731316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032020806,0.00014036165,0.00029063693,0.00016414958,0.00007763911,0.000015623187,0.00013489954,0.00030021544,0.00010429081],"category_scores_gemma":[0.00012924513,0.00013295555,0.00013556446,0.0004547932,0.00007894862,0.00010361744,0.00005401512,0.0005479408,6.6680195e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102431484,0.00008625586,0.0010449332,0.000067291054,0.00043540838,0.0000011342626,0.000090653586,0.00018712474,0.9274848,0.0037271236,0.00006217801,0.06671069],"study_design_scores_gemma":[0.00015012649,0.000030468767,0.0016318248,0.000030253837,0.00041907758,0.000022902947,0.00001524779,0.004189147,0.9783194,0.013573988,0.0014362675,0.00018128297],"about_ca_topic_score_codex":0.000005925695,"about_ca_topic_score_gemma":0.0000037692541,"teacher_disagreement_score":0.19683087,"about_ca_system_score_codex":0.00008344575,"about_ca_system_score_gemma":0.000040491504,"threshold_uncertainty_score":0.542177},"labels":[],"label_agreement":null},{"id":"W2018093134","doi":"10.1016/j.bbapap.2013.06.008","title":"Advances in multiplexed MRM-based protein biomarker quantitation toward clinical utility","year":2013,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":144,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Genome British Columbia; University of Victoria; Genome Canada","keywords":"Biomarker; Multiplexing; Computer science; Computational biology; Chemistry; Biology; Telecommunications; Biochemistry","score_opus":0.03621348123121228,"score_gpt":0.3273980867934499,"score_spread":0.29118460556223763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018093134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789528,0.00015356531,0.012526015,0.0022475375,0.000033761422,0.0047273273,0.00014235273,0.00032007653,0.0008965416],"genre_scores_gemma":[0.8173101,0.00036687253,0.17715697,0.00016303934,0.0000895495,0.0046346034,0.00014551615,0.0000708662,0.0000625057],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99672383,0.00014593088,0.0011091304,0.0011124979,0.0003071067,0.00060151936],"domain_scores_gemma":[0.99796003,0.00014916134,0.0006073246,0.0008517253,0.00019045184,0.00024131626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005158674,0.00055316946,0.0006193209,0.00014475234,0.0002116829,0.00018925595,0.0004968201,0.00047823746,0.00015022064],"category_scores_gemma":[0.00021518492,0.000516213,0.00023126166,0.00040394618,0.0004525675,0.0006739579,0.00020615381,0.0007480182,0.000030964926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002864769,0.0005471394,0.0002490178,0.00033202735,0.000020402626,0.0000014336308,0.000079229925,0.0000034006441,0.98355764,0.00096081506,0.000035183322,0.013927219],"study_design_scores_gemma":[0.0014540713,0.00016836329,0.002884135,0.00026666763,0.000020567431,0.0000020594348,0.00007363879,0.009044854,0.9745925,0.009537466,0.0012464101,0.00070924376],"about_ca_topic_score_codex":0.00026712683,"about_ca_topic_score_gemma":0.00003010286,"teacher_disagreement_score":0.16463096,"about_ca_system_score_codex":0.00008028065,"about_ca_system_score_gemma":0.00018174363,"threshold_uncertainty_score":0.9997289},"labels":[],"label_agreement":null},{"id":"W2018207804","doi":"10.1016/j.ymeth.2004.08.021","title":"Integrating gene and protein expression data: pattern analysis and profile mining","year":2005,"lang":"en","type":"review","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Computational biology; Biology; DNA microarray; Proteomics; Genomics; Organism; Functional genomics; Genome; Gene; Systems biology; Gene expression profiling; Gene expression; Genetics","score_opus":0.11468818514361268,"score_gpt":0.4785316384257205,"score_spread":0.3638434532821078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018207804","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012042868,0.5224132,0.47683358,0.0000049298815,0.0000025717693,0.00026030416,0.00015401919,0.00005413421,0.0002652083],"genre_scores_gemma":[5.8901213e-7,0.47153717,0.5271228,0.0000033566441,0.000079989135,0.0004948458,0.0004070823,0.000025199717,0.0003289496],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842036,0.00013648345,0.00046504656,0.000722494,0.000080755715,0.0001748883],"domain_scores_gemma":[0.99832135,0.00019786267,0.00042412247,0.0009606395,0.000023116336,0.00007292446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062733184,0.00030443238,0.0009777723,0.00010851636,0.0001236381,0.0000686486,0.00035327175,0.0002719223,0.00010430411],"category_scores_gemma":[0.000118309945,0.00023892192,0.000104853236,0.00026403816,0.000045410925,0.00009136416,0.00064050476,0.00039560656,7.2885257e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.3069844e-7,0.000008139666,0.000006146908,0.0020563735,0.00008335061,7.835459e-7,0.00002062922,6.163394e-8,0.0033836232,0.0000055993855,0.000015864201,0.994419],"study_design_scores_gemma":[0.00004454319,0.0000044889543,2.8182794e-7,0.003274673,0.0011873833,0.000012674102,0.000023799228,0.00073647464,0.020456433,0.00007507139,0.9738386,0.00034555138],"about_ca_topic_score_codex":0.000017638085,"about_ca_topic_score_gemma":0.0000041126145,"teacher_disagreement_score":0.99407345,"about_ca_system_score_codex":0.000033602042,"about_ca_system_score_gemma":0.000031109426,"threshold_uncertainty_score":0.9742953},"labels":[],"label_agreement":null},{"id":"W2018356910","doi":"10.1002/pmic.201090036","title":"HUPO Biological Reference Material Initiative Workshop 26 September 2009, Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","score_opus":0.027160922705550167,"score_gpt":0.2803532921631969,"score_spread":0.2531923694576467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018356910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9302865,0.000037218717,0.0068258154,0.0003812395,0.00019285033,0.0006156794,0.0006058805,0.0004306051,0.060624156],"genre_scores_gemma":[0.80785286,0.00007114904,0.18901148,0.00040612507,0.0004374816,0.00096672453,0.00016287171,0.000052622774,0.0010386549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988807,0.0000109755665,0.0002820838,0.00036839116,0.00012410409,0.00033374174],"domain_scores_gemma":[0.9990906,0.00004978103,0.00015771884,0.0004519287,0.00012354887,0.00012638136],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000081001344,0.00021179397,0.00019936595,0.00000801609,0.00015155533,0.00004356336,0.00036508119,0.00028889222,0.003856568],"category_scores_gemma":[0.000091185815,0.0001911209,0.00003862949,0.00004994617,0.00008839164,0.0001141984,0.00015008125,0.0005050192,0.000024359217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007406253,0.00005934422,0.0006464291,0.00002224988,0.000017546476,0.000005822939,0.000037838658,0.000004818498,0.986497,0.0054720556,0.005421686,0.001741151],"study_design_scores_gemma":[0.00020960576,0.0000135722175,0.00010167253,0.00001928326,0.0000071491977,0.000014629855,0.00009383477,0.000097577315,0.88143146,0.0058994223,0.111722775,0.0003889906],"about_ca_topic_score_codex":0.030639019,"about_ca_topic_score_gemma":0.21200673,"teacher_disagreement_score":0.18218566,"about_ca_system_score_codex":0.0001837074,"about_ca_system_score_gemma":0.00024286087,"threshold_uncertainty_score":0.99705404},"labels":[],"label_agreement":null},{"id":"W2018564191","doi":"10.1002/1615-9861(200206)2:6<673::aid-prot673>3.0.co;2-2","title":"Solubilization, two-dimensional separation and detection of the cardiac myofilament protein troponin T","year":2002,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Chromatography; Chemistry; Homogenization (climate); Isoelectric focusing; Solubilization; Mass spectrometry; Troponin T; Troponin I; Urea; Western blot; Proteomics; Biochemistry; Biology; Enzyme; Medicine","score_opus":0.0106957680561301,"score_gpt":0.24775847079383403,"score_spread":0.23706270273770394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018564191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683753,0.00013613142,0.029587401,0.0002477154,0.000022926404,0.0009256548,0.000023943905,0.00006954178,0.00061136566],"genre_scores_gemma":[0.96908253,0.000021827098,0.029561916,0.00001895956,0.00005436308,0.00061326474,0.0000069803104,0.000017538103,0.00062262005],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992974,0.000016071861,0.00023056805,0.0002010705,0.00013879435,0.00011610444],"domain_scores_gemma":[0.99940544,0.000013215375,0.00017898489,0.00028982694,0.00008107047,0.000031481664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008168636,0.00010656904,0.00011506825,0.000020004896,0.00017377485,0.000015882193,0.00009707501,0.00007266102,0.00005602463],"category_scores_gemma":[0.000032032614,0.00008816565,0.00005324974,0.00010893139,0.00008219736,0.0000714482,0.00007178969,0.00013331436,0.000003227214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009362482,0.00003237596,0.0003330446,0.000027850212,0.0000076986325,4.0432436e-8,0.000051965522,0.00040402604,0.9963843,0.0011537195,0.000021020709,0.0015745803],"study_design_scores_gemma":[0.00018908184,0.00001508037,0.0000598503,0.000027937236,0.00001107968,0.0000025301422,0.000008441695,0.012297756,0.9828061,0.00390973,0.0005746641,0.000097777156],"about_ca_topic_score_codex":0.00001846428,"about_ca_topic_score_gemma":0.0000039654806,"teacher_disagreement_score":0.0135782445,"about_ca_system_score_codex":0.00006790011,"about_ca_system_score_gemma":0.000012911645,"threshold_uncertainty_score":0.3595291},"labels":[],"label_agreement":null},{"id":"W2018672416","doi":"10.1002/1096-9888(200008)35:8<990::aid-jms27>3.0.co;2-k","title":"Characterization of cysteine residues and disulfide bonds in proteins by liquid chromatography/electrospray ionization tandem mass spectrometry","year":2000,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Chemistry; Electrospray ionization; Cysteine; Tandem mass spectrometry; Chromatography; Mass spectrometry; Residue (chemistry); Galactosyltransferase; Biochemistry; Enzyme","score_opus":0.004404842655522272,"score_gpt":0.22999245253379635,"score_spread":0.2255876098782741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018672416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9296116,0.0006869003,0.067209564,0.00041145718,0.000011921615,0.00022198516,0.00004528374,0.000047426463,0.0017538373],"genre_scores_gemma":[0.9516989,0.0030322005,0.044523045,0.000027071921,0.00016594396,0.000025950108,0.00005857076,0.000047374775,0.00042094477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99796236,0.000038805487,0.00097565993,0.00028304523,0.00040779554,0.00033236775],"domain_scores_gemma":[0.99835515,0.000049258742,0.0010515722,0.00029437096,0.00012913959,0.00012052039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034074884,0.00025189313,0.0005290631,0.00053120014,0.00008109165,0.00004902695,0.0002799261,0.00020388741,0.00060224213],"category_scores_gemma":[0.00006488777,0.00024395152,0.000112268084,0.0012707477,0.00009036487,0.00037620682,0.00002320825,0.0005068624,0.0000015864455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002024276,0.00016790969,0.0074372436,0.00008491064,0.000043526125,0.000009428722,0.000034782664,0.00000740232,0.99104315,0.0005289637,0.00004399552,0.00039628716],"study_design_scores_gemma":[0.00079644955,0.00066992873,0.0030846703,0.00020513832,0.000036126345,0.00007710667,0.000031249,0.000058202284,0.990794,0.0033594118,0.00065021147,0.00023751707],"about_ca_topic_score_codex":0.000008806149,"about_ca_topic_score_gemma":0.0000026798748,"teacher_disagreement_score":0.022686519,"about_ca_system_score_codex":0.00018920768,"about_ca_system_score_gemma":0.00006029926,"threshold_uncertainty_score":0.99480546},"labels":[],"label_agreement":null},{"id":"W2019192492","doi":"10.1142/s1793048006000057","title":"MASS SPECTROMETRY OUTGROWS SIMPLE BIOCHEMISTRY: NEW APPROACHES TO ORGANELLE PROTEOMICS","year":2006,"lang":"en","type":"article","venue":"Biophysical Reviews and Letters","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs","keywords":"Organelle; Proteomics; Proteome; Computational biology; Organelle biogenesis; Biology; Identification (biology); Computer science; Chemistry; Bioinformatics; Cell biology; Biochemistry; Biogenesis","score_opus":0.037191456218082834,"score_gpt":0.2506195688452728,"score_spread":0.21342811262718997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019192492","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61895883,0.0012201014,0.3516891,0.022348601,0.000022376149,0.0014347231,0.00006801778,0.00029994966,0.0039583314],"genre_scores_gemma":[0.31391293,0.0005647247,0.67696416,0.0024619119,0.0021561636,0.00067604537,0.00020014438,0.00010371944,0.0029601997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988899,0.000007712395,0.0002656147,0.00045125675,0.00010299373,0.00028251222],"domain_scores_gemma":[0.99928635,0.000020726871,0.00011229743,0.00040961552,0.0000062698573,0.00016472385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006034463,0.00023354118,0.00033241886,0.000024161767,0.00009155993,0.000053356052,0.00020558728,0.00007510014,0.00007440243],"category_scores_gemma":[0.00002089383,0.00020185752,0.00011203985,0.00022204184,0.000054773187,0.000044232027,0.00007537886,0.00018173605,0.00005061548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060635084,0.000035700097,0.00006749661,0.0001028194,0.0000046417726,0.0000010047436,0.0000066010784,0.0000039476536,0.98292637,0.0028842255,0.011052218,0.0029089355],"study_design_scores_gemma":[0.00012992253,0.000012463463,0.000018204775,0.000040896346,0.000018881363,0.000002881279,0.000004880358,0.000061781444,0.8084252,0.004191422,0.1867967,0.00029677668],"about_ca_topic_score_codex":0.00004747089,"about_ca_topic_score_gemma":7.767277e-7,"teacher_disagreement_score":0.3252751,"about_ca_system_score_codex":0.000058128877,"about_ca_system_score_gemma":0.000015227556,"threshold_uncertainty_score":0.8231511},"labels":[],"label_agreement":null},{"id":"W2019197244","doi":"10.1007/s00726-012-1293-z","title":"Analysing signalling networks by mass spectrometry","year":2012,"lang":"en","type":"review","venue":"Amino Acids","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"Biotechnology and Biological Sciences Research Council; Cancer Research UK","keywords":"Proteome; Computational biology; Proteomics; Biology; Phenotype; Genome; Genotype; Function (biology); Organelle; Bioinformatics; Genetics; Gene","score_opus":0.029756573579541964,"score_gpt":0.3152659311566257,"score_spread":0.28550935757708373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019197244","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011587856,0.6615196,0.3334865,0.000002873886,0.000020471049,0.00012983331,0.000046527002,0.00016746171,0.0046255686],"genre_scores_gemma":[0.00014162294,0.9489858,0.047323365,0.000015049658,0.0006806386,0.0002527471,0.0008272818,0.00011461606,0.0016588817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982183,0.000020549556,0.0005761268,0.0004901925,0.00016764132,0.0005272033],"domain_scores_gemma":[0.9985412,0.00011596069,0.00048070445,0.0006877173,0.000029840514,0.00014461754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014947868,0.0004713939,0.0010949981,0.000097501106,0.00014302561,0.00006398398,0.0005393179,0.0005795953,0.00062998204],"category_scores_gemma":[0.000009039672,0.0004425769,0.00048764382,0.0004580091,0.000056077613,0.00009009477,0.00010908238,0.0008956604,0.00005800872],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2635827e-7,0.000040626477,0.0000137426305,0.0028632248,0.00019961288,0.0000029242478,0.0000041069093,0.000007850119,0.0019130928,0.0004910933,0.0003667026,0.9940961],"study_design_scores_gemma":[0.000033583638,0.0000045256043,3.2689126e-8,0.0014488227,0.000917596,0.0000136198805,0.000003906117,0.00011348714,0.0013957295,0.00027991732,0.9952871,0.0005016455],"about_ca_topic_score_codex":0.0000051504053,"about_ca_topic_score_gemma":2.238082e-7,"teacher_disagreement_score":0.99492043,"about_ca_system_score_codex":0.0002353908,"about_ca_system_score_gemma":0.0000342352,"threshold_uncertainty_score":0.9998026},"labels":[],"label_agreement":null},{"id":"W2019456941","doi":"10.1021/pr0603811","title":"Protein Markers of Ischemic Insult in Brain Endothelial Cells Identified Using 2D Gel Electrophoresis and ICAT-Based Quantitative Proteomics","year":2006,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Proteomics; Insult; Two-dimensional gel electrophoresis; Gel electrophoresis; Quantitative proteomics; Chemistry; Protein expression; Biology; Molecular biology; Biochemistry; Gene","score_opus":0.03807117930017256,"score_gpt":0.3586298182164051,"score_spread":0.32055863891623254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019456941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981005,0.00023784759,0.016513089,0.0004150365,0.0000065235413,0.0013664274,0.00005562255,0.00001376685,0.0003866808],"genre_scores_gemma":[0.74688923,0.000054324315,0.25244272,0.00000570033,0.000076929704,0.00024225352,0.000003864605,0.000044084183,0.00024085534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99729514,0.00017693819,0.00096786517,0.00031595162,0.0007356923,0.0005084111],"domain_scores_gemma":[0.9978881,0.00029680773,0.0007066038,0.00032031717,0.0006788907,0.00010926604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021280714,0.00020089405,0.00042510347,0.00058115565,0.00013107044,0.00006436656,0.00045306064,0.00020504007,0.000043476284],"category_scores_gemma":[0.00045644265,0.0001893006,0.00012380518,0.0006969687,0.00036060376,0.00019628178,0.00011153012,0.0011838343,0.0000015957467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011630077,0.00022805491,0.00031559748,0.0003727636,0.000020683043,0.000020863421,0.00004804691,0.00015068805,0.99691516,0.00043681476,0.00013361339,0.00019472966],"study_design_scores_gemma":[0.0012540949,0.00024358608,0.00008409578,0.00046489254,0.000008900884,0.000019771,0.00012749613,0.0022240083,0.99024206,0.0047776094,0.00038149866,0.00017197707],"about_ca_topic_score_codex":0.00041257992,"about_ca_topic_score_gemma":0.00002102507,"teacher_disagreement_score":0.23592964,"about_ca_system_score_codex":0.00035801064,"about_ca_system_score_gemma":0.0005378682,"threshold_uncertainty_score":0.7719454},"labels":[],"label_agreement":null},{"id":"W2019736882","doi":"10.1002/pmic.200600267","title":"Optimization of paper bridge loading for 2‐DE analysis in the basic pH region: Application to the mitochondrial subproteome","year":2006,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Bridge (graph theory); Precipitation; Range (aeronautics); Protein precipitation; Computer science; Chemistry; Chromatography; Materials science; Biology; Mass spectrometry; Composite material","score_opus":0.012008227911399936,"score_gpt":0.2636034797166432,"score_spread":0.2515952518052433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019736882","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044456463,0.000023985516,0.9505003,0.002434798,0.00000852314,0.0021057068,0.000043231765,0.000044369808,0.00038260256],"genre_scores_gemma":[0.6093729,0.000017845063,0.38295907,0.00019328958,0.00032243843,0.0068796505,0.00012588713,0.000025334288,0.0001035994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897635,0.000022953038,0.00037067075,0.0002865782,0.00012963678,0.0002138161],"domain_scores_gemma":[0.99895126,0.00009131853,0.00023082539,0.0006113559,0.000091009264,0.000024210061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026447547,0.00013083323,0.00018007771,0.000081887665,0.00014585773,0.000038600283,0.0004477161,0.000106056315,0.000011219748],"category_scores_gemma":[0.000053563726,0.00009663868,0.00013713472,0.0007140913,0.000041294832,0.000076513345,0.000039475704,0.00014866123,0.0000014278188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021413201,0.00019434612,0.0027908292,0.000104776635,0.000060898037,5.163371e-7,0.00047668867,0.38606066,0.5911575,0.016054828,0.00058673485,0.0022981032],"study_design_scores_gemma":[0.0010933494,0.000056723038,0.0013791776,0.00005365363,0.00033565224,0.00001148277,0.00015807617,0.16257383,0.7819479,0.038383074,0.01347295,0.0005340912],"about_ca_topic_score_codex":0.00027440113,"about_ca_topic_score_gemma":0.0001092296,"teacher_disagreement_score":0.56754124,"about_ca_system_score_codex":0.0001046633,"about_ca_system_score_gemma":0.000033356137,"threshold_uncertainty_score":0.3940811},"labels":[],"label_agreement":null},{"id":"W2020018374","doi":"10.1038/nrm1711","title":"Proteomics of organelles and large cellular structures","year":2005,"lang":"en","type":"review","venue":"Nature Reviews Molecular Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":390,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Proteomics; Organelle; Computational biology; Identification (biology); Biology; Systems biology; Cell biology; Chemistry; Biochemistry","score_opus":0.014243345157019291,"score_gpt":0.33137322632867255,"score_spread":0.31712988117165325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020018374","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011626631,0.98894477,0.0068400516,0.000012192575,0.000029177389,0.001466367,0.0002763485,0.000056239383,0.0023632345],"genre_scores_gemma":[0.000031365067,0.933271,0.06514243,0.00006379744,0.00013870266,0.00038820144,0.00073299697,0.00008946019,0.00014207381],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762756,0.00012870898,0.0010154723,0.00076731393,0.000085562824,0.0003754078],"domain_scores_gemma":[0.9976573,0.00006387415,0.0011556266,0.0009588164,0.00006497248,0.00009942381],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00023452767,0.0006547724,0.002386791,0.00010855002,0.00006717626,0.0000122548645,0.0006100714,0.0023140742,0.00020050691],"category_scores_gemma":[0.00008299726,0.00049335876,0.00048892386,0.0002250974,0.00013461083,0.00002019952,0.0002902286,0.0017074877,0.000012992179],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002064908,0.000044101325,7.1933766e-7,0.023010109,0.000052440835,0.00000489953,0.0000057600782,9.920508e-8,0.035964355,0.008179003,0.00010707498,0.93262935],"study_design_scores_gemma":[0.00010095767,0.000018369868,4.9665516e-9,0.0017879087,0.00039246352,0.00001738497,0.0000013351679,0.0000012419649,0.033681843,0.0014469391,0.96213496,0.000416611],"about_ca_topic_score_codex":0.0000014074761,"about_ca_topic_score_gemma":6.811919e-7,"teacher_disagreement_score":0.96202785,"about_ca_system_score_codex":0.00005660511,"about_ca_system_score_gemma":0.00010140316,"threshold_uncertainty_score":0.9997518},"labels":[],"label_agreement":null},{"id":"W2020224936","doi":"10.1021/pr800389e","title":"Differential Protein Expressions in Renal Cell Carcinoma: New Biomarker Discovery by Mass Spectrometry","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Biomarker discovery; Renal cell carcinoma; Mass spectrometry; Proteomics; Biomarker; Chemistry; Computational biology; Cancer research; Chromatography; Biology; Medicine; Oncology; Biochemistry","score_opus":0.0344367611219225,"score_gpt":0.3466444337278238,"score_spread":0.31220767260590127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020224936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9125871,0.00046294427,0.08098078,0.0020287444,0.0000138769865,0.0005924689,0.000024200834,0.00002319983,0.003286687],"genre_scores_gemma":[0.9564199,0.00009241382,0.036680922,0.000010447159,0.00029227568,0.0000817371,0.0000075381677,0.000029712559,0.0063850903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99702454,0.00010102893,0.00070381054,0.00031460632,0.0012280117,0.0006280314],"domain_scores_gemma":[0.99860847,0.00008499761,0.00031107856,0.00043835287,0.00019040343,0.0003667137],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007084327,0.00020057868,0.0003360427,0.00047739476,0.00014956856,0.00016801996,0.0008447456,0.00024551607,0.0009902678],"category_scores_gemma":[0.0001920789,0.00016517253,0.00016383572,0.00067748985,0.0000851123,0.00040820247,0.00013476217,0.0018415484,0.000009174522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023387287,0.00036128363,0.00036785658,0.000045433204,0.0000066512816,0.00006915222,0.000026515452,0.0000016607413,0.9951682,0.00021836911,0.0023227914,0.0011782013],"study_design_scores_gemma":[0.0010639991,0.00019197445,0.0005174733,0.00026929312,0.0000042340816,0.00003187065,0.000049864306,0.000056559074,0.98081195,0.015533432,0.0012879426,0.00018143147],"about_ca_topic_score_codex":0.000049952374,"about_ca_topic_score_gemma":0.0000014265137,"teacher_disagreement_score":0.044299856,"about_ca_system_score_codex":0.000329344,"about_ca_system_score_gemma":0.0004866296,"threshold_uncertainty_score":0.999923},"labels":[],"label_agreement":null},{"id":"W2020337728","doi":"10.1021/pr700624e","title":"A “Tagless” Strategy for Identification of Stable Protein Complexes Genome-wide by Multidimensional Orthogonal Chromatographic Separation and iTRAQ Reagent Tracking","year":2008,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Canadian Association for the Study of the Liver; University of California, San Francisco; U.S. Department of Energy","keywords":"Fractionation; Chromatography; Chemistry; Reagent; Elution; Chromatographic separation; Protein purification; Mass spectrometry; Target protein; Identification (biology); Tandem mass spectrometry; Combinatorial chemistry; Computational biology; Biochemistry; Biology; High-performance liquid chromatography","score_opus":0.09017922928313889,"score_gpt":0.3910685711400098,"score_spread":0.30088934185687094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020337728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391645,0.00065573596,0.058645237,0.00020929774,0.0000047028448,0.0011375935,0.00011786115,0.00001561452,0.000049420916],"genre_scores_gemma":[0.95986617,0.00033606766,0.039063398,0.0000034015413,0.00006667296,0.00029720317,0.00004805522,0.000026084364,0.00029293814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99784034,0.0000685094,0.000869707,0.00024385442,0.00067643024,0.0003011438],"domain_scores_gemma":[0.9976718,0.00017062605,0.00066209957,0.00021745157,0.0011491852,0.00012884439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014529282,0.00013369852,0.00028698842,0.00023801677,0.00038086768,0.000040619107,0.00022016848,0.000119697295,0.000050619652],"category_scores_gemma":[0.00017430341,0.00012364634,0.000108610984,0.00028483814,0.0002600423,0.00029971713,0.00005204836,0.00046314154,8.672268e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018551877,0.00021426062,0.0007648857,0.00028264843,0.0000395267,0.0000039404545,0.00009893033,0.00015965909,0.99694836,0.00079313596,0.00016024518,0.00034889553],"study_design_scores_gemma":[0.00073159655,0.00023254925,0.0018198648,0.00014916787,0.000011625647,0.00009166714,0.00014376189,0.0012626599,0.9880877,0.005953979,0.0013741397,0.00014127576],"about_ca_topic_score_codex":0.000017796596,"about_ca_topic_score_gemma":0.000002665183,"teacher_disagreement_score":0.020701641,"about_ca_system_score_codex":0.00008730994,"about_ca_system_score_gemma":0.00024234047,"threshold_uncertainty_score":0.5042152},"labels":[],"label_agreement":null},{"id":"W2020486777","doi":"10.1021/pr901063t","title":"Quantitative Analysis of Proteome Coverage and Recovery Rates for Upstream Fractionation Methods in Proteomics","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Fractionation; Chromatography; Isoelectric focusing; Chemistry; Tandem mass spectrometry; Proteomics; Mass spectrometry; Sample preparation; Peptide; Biochemistry","score_opus":0.08332712766796334,"score_gpt":0.5267625092364053,"score_spread":0.443435381568442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020486777","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68147236,0.000070510374,0.3164578,0.00043443192,0.00001751162,0.00119715,0.00006665609,0.000008753884,0.0002748332],"genre_scores_gemma":[0.25495473,0.00024742685,0.743745,0.0000044462986,0.00006646139,0.00076904683,0.000012970627,0.000022865299,0.00017700733],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981093,0.00014045267,0.0007980585,0.00025419734,0.00042130228,0.00027671506],"domain_scores_gemma":[0.99640906,0.0011900628,0.00074866106,0.00027844086,0.0012753996,0.0000983795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045089344,0.0001378378,0.00048496944,0.0011104256,0.00012898023,0.000058228776,0.0002916319,0.00021577034,0.00009668843],"category_scores_gemma":[0.0022572514,0.000121905185,0.00018554559,0.0011626229,0.00017947512,0.00037145897,0.00007771247,0.0012030663,5.3276284e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005658515,0.00018416753,0.0021153067,0.00016903404,0.00022039357,0.0000016697002,0.00013626675,0.00024488624,0.98826766,0.0024867675,0.000015459216,0.0055925096],"study_design_scores_gemma":[0.0006338586,0.0003711392,0.0013313097,0.000090100715,0.00008073256,0.000012240956,0.00020363415,0.0054399977,0.91115844,0.079849675,0.0006892029,0.0001396653],"about_ca_topic_score_codex":0.00005652674,"about_ca_topic_score_gemma":0.00003611794,"teacher_disagreement_score":0.42728725,"about_ca_system_score_codex":0.00013472943,"about_ca_system_score_gemma":0.00024341859,"threshold_uncertainty_score":0.52267915},"labels":[],"label_agreement":null},{"id":"W2020699450","doi":"10.1002/rcm.1853","title":"Hardware‐accelerated protein identification for mass spectrometry","year":2005,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Proteome; Mass spectrometry; Software; Computer science; Chemistry; Proteomics; Hardware acceleration; Computer hardware; Parallel computing; Computational science; Algorithm; Chromatography","score_opus":0.034047262536717686,"score_gpt":0.32078917490726316,"score_spread":0.28674191237054547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020699450","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07127362,0.0027343724,0.8743331,0.009128317,0.00005263549,0.0025809493,0.0003400208,0.0011827821,0.038374227],"genre_scores_gemma":[0.49019688,0.00067422626,0.5048771,0.00004728291,0.00011777399,0.0022663993,0.00031934568,0.00005863257,0.0014423516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974853,0.000063558124,0.00095891237,0.00063841406,0.0002709632,0.00058288773],"domain_scores_gemma":[0.995439,0.0002444238,0.00044226128,0.003555815,0.00020250815,0.00011597812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005846377,0.00034456336,0.00039199612,0.00060682953,0.00044282246,0.000155196,0.002197309,0.00027136976,0.0008328415],"category_scores_gemma":[0.00020061772,0.0004091845,0.00018839641,0.0015762835,0.00018594312,0.00038981668,0.00021314555,0.00079196854,0.00009239709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030064959,0.00032319815,0.00044474815,0.000057710055,0.0000383247,3.296156e-7,0.00004552902,0.00006146486,0.9464951,0.04774341,0.00028177619,0.004478316],"study_design_scores_gemma":[0.0009773619,0.000047369947,0.00037554392,0.00008996286,0.000034733726,0.000007199787,0.00020873979,0.009662838,0.89907086,0.05063676,0.03825825,0.0006303512],"about_ca_topic_score_codex":0.000017548251,"about_ca_topic_score_gemma":0.000025503952,"teacher_disagreement_score":0.4189233,"about_ca_system_score_codex":0.0008239624,"about_ca_system_score_gemma":0.00009095243,"threshold_uncertainty_score":0.999836},"labels":[],"label_agreement":null},{"id":"W2021192251","doi":"10.4155/bio.14.188","title":"Large-Scale Label-Free Phosphoproteomics: from Technology to Data Interpretation","year":2014,"lang":"en","type":"review","venue":"Bioanalysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Phosphoproteomics; Scale (ratio); Computer science; Data science; Nanotechnology; Computational biology; Biochemical engineering; Chemistry; Biology; Engineering; Materials science; Physics; Biochemistry","score_opus":0.027144391440795113,"score_gpt":0.35277518116236944,"score_spread":0.32563078972157433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021192251","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000041523035,0.78212416,0.21089233,0.00019904277,0.00002741018,0.00040973,0.0051025017,0.00036421543,0.0008764511],"genre_scores_gemma":[0.0000112163025,0.7713337,0.22136289,0.00006096274,0.00015899062,0.0008610713,0.005503008,0.000086119755,0.00062202],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714535,0.0000278537,0.0008931088,0.0013475119,0.00021719634,0.00036900383],"domain_scores_gemma":[0.99274987,0.00010458086,0.00066302076,0.006245526,0.00010270132,0.0001342927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022627431,0.0005061922,0.0017505717,0.00037017686,0.00013006265,0.000085512875,0.003872338,0.0007900804,0.0007366522],"category_scores_gemma":[0.0002694455,0.0004692309,0.00034280607,0.0010922025,0.00006507802,0.00009552157,0.002204712,0.0005724739,0.0003475962],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004102172,0.00006299783,0.000004644239,0.0009894952,0.00044041072,0.0000014276961,0.000018954826,7.3408137e-7,0.000055457316,0.0002277651,0.0012446624,0.9969494],"study_design_scores_gemma":[0.000116420415,0.000007658395,2.3654021e-8,0.0018186583,0.0020647817,0.0000018969677,0.000031777556,0.0014888416,0.00048648892,0.0032853398,0.990206,0.0004920988],"about_ca_topic_score_codex":0.00009575355,"about_ca_topic_score_gemma":0.00016304634,"teacher_disagreement_score":0.9964573,"about_ca_system_score_codex":0.00021609434,"about_ca_system_score_gemma":0.00008654377,"threshold_uncertainty_score":0.99977595},"labels":[],"label_agreement":null},{"id":"W2021275596","doi":"10.1002/pmic.200300694","title":"Common interchange standards for proteomics data: Public availability of tools and schema. Report on the Proteomic Standards Initiative Workshop, 2 <sup>nd</sup> Annual HUPO Congress, Montreal, Canada, 8–11 <sup>th</sup> October 2003","year":2004,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"XML; Data exchange; Proteomics; Computer science; Data integration; Data science; Database; World Wide Web; Chemistry","score_opus":0.048363447178893,"score_gpt":0.31254421154666623,"score_spread":0.2641807643677732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021275596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8373635,0.00026058714,0.060774773,0.0060998905,0.000065295324,0.013139744,0.08095832,0.00028589298,0.0010520178],"genre_scores_gemma":[0.8002469,0.00045084304,0.17631139,0.0009460289,0.0005833404,0.016103055,0.004241444,0.00039767803,0.0007193531],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99447024,0.00013004025,0.0016282598,0.0015650853,0.0011783869,0.0010279865],"domain_scores_gemma":[0.9918133,0.00043581013,0.0012492817,0.0030632261,0.0030805252,0.0003578422],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027942602,0.00081303646,0.0010968205,0.00012037455,0.0006859004,0.0002822716,0.0015410739,0.00055103516,0.0001248588],"category_scores_gemma":[0.0056720865,0.0007123279,0.00015779898,0.00054859533,0.00087591226,0.00089459453,0.00094844075,0.0012389177,0.0000013521603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.030231727,0.013638257,0.056684088,0.021298718,0.0075454502,0.0010220591,0.030122727,0.025360173,0.10737689,0.13940573,0.47211558,0.095198594],"study_design_scores_gemma":[0.008653662,0.0007801298,0.00034820676,0.002189559,0.00039408563,0.0003259073,0.0057580867,0.01246417,0.7839406,0.035983503,0.14578521,0.0033768795],"about_ca_topic_score_codex":0.016247096,"about_ca_topic_score_gemma":0.042197768,"teacher_disagreement_score":0.67656374,"about_ca_system_score_codex":0.002209333,"about_ca_system_score_gemma":0.0054889456,"threshold_uncertainty_score":0.99953276},"labels":[],"label_agreement":null},{"id":"W2021536993","doi":"10.1016/s0304-3835(01)00755-8","title":"Peptide differential display of serum-free conditioned medium from cancer cell lines","year":2002,"lang":"en","type":"article","venue":"Cancer Letters","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Foundation for Promotion of Cancer Research; Ministry of Health, Labour and Welfare; Kentucky Agricultural Experiment Station","keywords":"Peptide; Mass spectrometry; Chemistry; Cancer cell; Cancer cell lines; Proteomics; Chromatography; Molecular biology; Cancer; Computational biology; Biology; Biochemistry; Medicine; Internal medicine","score_opus":0.012927746127743531,"score_gpt":0.2524640483382607,"score_spread":0.23953630221051717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021536993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837988,0.00076107425,0.0059917565,0.004861602,0.00013398356,0.00013561908,0.003039122,0.00011746776,0.0011605782],"genre_scores_gemma":[0.9929463,0.0010337232,0.002659524,0.000984112,0.00065680634,0.0005476939,0.00008910018,0.00003727603,0.0010454402],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913245,0.0000056913536,0.00024076294,0.00027577952,0.00014822949,0.00019708989],"domain_scores_gemma":[0.9991957,0.000040687988,0.00018219612,0.00047292723,0.000039905626,0.00006858807],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000010213437,0.00016200882,0.00019835315,0.000016067514,0.00007078006,0.000012905703,0.0003481276,0.00008167566,0.010623749],"category_scores_gemma":[0.000005702972,0.00015874524,0.00008475293,0.000057540114,0.0001046641,0.00008835237,0.00007093775,0.00015268293,0.000009306556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009177538,0.000039882925,0.0020583798,0.0000590646,0.000031807172,0.0000014274514,0.00013532443,0.000093466384,0.97065896,0.000052914773,0.026054395,0.0008051996],"study_design_scores_gemma":[0.00060709054,0.00000412052,0.0008059027,0.00008227235,0.00005733143,3.364261e-7,0.000023663479,0.00042465102,0.98802656,0.00037421772,0.009377244,0.00021662287],"about_ca_topic_score_codex":0.00074455957,"about_ca_topic_score_gemma":0.0002044636,"teacher_disagreement_score":0.017367588,"about_ca_system_score_codex":0.00011640967,"about_ca_system_score_gemma":0.000013025596,"threshold_uncertainty_score":0.9902807},"labels":[],"label_agreement":null},{"id":"W2022148647","doi":"10.1016/j.jprot.2014.09.030","title":"A two-stage spin cartridge for integrated protein precipitation, digestion and SDS removal in a comparative bottom-up proteomics workflow","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Health Research Foundation","keywords":"Cartridge; Chromatography; Chemistry; Proteome; Sodium dodecyl sulfate; Protein precipitation; Digestion (alchemy); Protein purification; Sample preparation; Precipitation; Proteomics; Solid phase extraction; Analyte; Extraction (chemistry); Biochemistry; Materials science","score_opus":0.02254959891426359,"score_gpt":0.31729287780547444,"score_spread":0.2947432788912108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022148647","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61318624,0.000044864224,0.3847765,0.0002849324,0.000029976918,0.001480068,0.000039260245,0.000031799187,0.00012637365],"genre_scores_gemma":[0.403657,0.000025400437,0.5950104,0.000024110357,0.00016770925,0.0006730254,0.000022450238,0.00003241854,0.0003875187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981386,0.00006941692,0.00095689966,0.00031283638,0.00021031676,0.00031189647],"domain_scores_gemma":[0.9979606,0.00011761976,0.0010210247,0.0002700805,0.0004926879,0.00013797292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008625779,0.0002820456,0.0005260712,0.00018896275,0.00013452153,0.00009589531,0.000268789,0.00021155117,0.000010219652],"category_scores_gemma":[0.0004179693,0.0002609709,0.00012188455,0.00026199542,0.0001121633,0.00032599046,0.000053571937,0.00076676265,0.0000012283805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010676992,0.00018249403,0.0007200479,0.00020192354,0.000041667223,0.0000053060403,0.0010674135,0.0015540781,0.98060834,0.010793071,0.00008500088,0.00367295],"study_design_scores_gemma":[0.0042525795,0.0004291556,0.00016022428,0.0008154626,0.000043916003,0.00011593105,0.00044236588,0.024479251,0.9384759,0.025757072,0.0045508444,0.0004772804],"about_ca_topic_score_codex":0.000031173848,"about_ca_topic_score_gemma":0.00003674829,"teacher_disagreement_score":0.21023387,"about_ca_system_score_codex":0.00028903628,"about_ca_system_score_gemma":0.00020854465,"threshold_uncertainty_score":0.99998426},"labels":[],"label_agreement":null},{"id":"W2022502346","doi":"10.1016/j.jchromb.2005.12.013","title":"Protein depletion from blood plasma using a volatile buffer","year":2006,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Chemistry; Ultrafiltration (renal); Chromatography; Dialysis; Buffer (optical fiber); Sample preparation; Computer science","score_opus":0.008262414530445364,"score_gpt":0.23527950280260707,"score_spread":0.22701708827216172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022502346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973977,0.0002373105,0.024553124,0.000036420577,0.000017521266,0.00009293648,0.000029072138,0.000054862237,0.0010017307],"genre_scores_gemma":[0.84977126,0.000012242185,0.14985605,0.000008580837,0.00028461212,0.000013540322,0.000008952512,0.000021621407,0.00002316173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902433,0.000009237694,0.00047655855,0.00012750483,0.00021194256,0.00015044717],"domain_scores_gemma":[0.99906266,0.000024261099,0.00055228174,0.00019496119,0.000108544344,0.00005728417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006778165,0.00012955567,0.00019768627,0.000110118875,0.00008846863,0.00004201513,0.00018134578,0.00011404001,0.00018634005],"category_scores_gemma":[0.000007794185,0.00011885581,0.0002224353,0.00017415093,0.000044110784,0.00015385925,0.00002248956,0.0002306627,0.0000016186486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023019686,0.0001382177,0.017858017,0.000018122058,0.000044920173,0.000012555467,0.000009778485,0.00004547388,0.98105717,0.00051473704,0.00013010054,0.0001478689],"study_design_scores_gemma":[0.0006963379,0.000031435182,0.0014899283,0.00017734467,0.00008304528,0.00012337192,0.000014622643,0.00069540006,0.9689805,0.024556767,0.002976673,0.00017460065],"about_ca_topic_score_codex":0.0001113478,"about_ca_topic_score_gemma":0.000005457006,"teacher_disagreement_score":0.12530291,"about_ca_system_score_codex":0.000025460282,"about_ca_system_score_gemma":0.000035587367,"threshold_uncertainty_score":0.48467994},"labels":[],"label_agreement":null},{"id":"W2022794640","doi":"10.1002/jms.1692","title":"Current trends in quantitative proteomics","year":2009,"lang":"en","type":"review","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":270,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Chemistry; Proteomics; Data science; Computational biology; Quantitative proteomics; Variety (cybernetics); Sample (material); Computer science; Chromatography; Artificial intelligence; Biochemistry; Biology","score_opus":0.049271184444225714,"score_gpt":0.396291740599507,"score_spread":0.34702055615528127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022794640","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022296193,0.9837431,0.012755531,0.000048333484,0.00006165975,0.00016165609,0.0000440602,0.000027198601,0.0031361636],"genre_scores_gemma":[0.0000069640178,0.8114669,0.18797627,0.0000036094466,0.00028509583,0.000034678702,0.000022151815,0.000043536802,0.0001607858],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976443,0.00004034994,0.0014004,0.0002799081,0.00031497734,0.0003200438],"domain_scores_gemma":[0.9972376,0.0001100724,0.0020753979,0.00036930296,0.00009201738,0.00011559996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034941855,0.0004035044,0.0017535909,0.0012483142,0.000036806316,0.00004227512,0.00065554574,0.0003029262,0.00031455545],"category_scores_gemma":[0.00007552434,0.00033248292,0.00077926915,0.0011502238,0.00004085998,0.00012327768,0.00004516816,0.0021227913,0.000009566545],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015687006,0.00020798454,0.0000053820445,0.002111833,0.00006648888,0.00003922291,0.000012265928,0.0000022370994,0.00037165073,0.003053364,0.00032569456,0.9937882],"study_design_scores_gemma":[0.00027967704,0.00014807911,0.0000027300473,0.01032188,0.00026066066,0.00021317028,0.000013690871,0.000005588495,0.00062798674,0.01053036,0.97716874,0.00042745873],"about_ca_topic_score_codex":9.541378e-7,"about_ca_topic_score_gemma":7.7370237e-7,"teacher_disagreement_score":0.99336076,"about_ca_system_score_codex":0.00075402204,"about_ca_system_score_gemma":0.00018608675,"threshold_uncertainty_score":0.99991274},"labels":[],"label_agreement":null},{"id":"W2023156845","doi":"10.1021/pr100024a","title":"Measurement of Protein Phosphorylation Stoichiometry by Selected Reaction Monitoring Mass Spectrometry","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research","keywords":"LYN; Phosphorylation; Phosphopeptide; Chemistry; Mass spectrometry; Protein phosphorylation; Stoichiometry; Peptide; Tyrosine; Tyrosine phosphorylation; Chromatography; Biochemistry; Protein kinase A; Proto-oncogene tyrosine-protein kinase Src","score_opus":0.03918802657413879,"score_gpt":0.35433535665726457,"score_spread":0.3151473300831258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023156845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97506994,0.00036567537,0.02291426,0.00022537155,0.00004639213,0.0005286107,0.000008261892,0.00003429439,0.0008071841],"genre_scores_gemma":[0.91150117,0.00009237447,0.08770609,4.8921845e-7,0.00031323606,0.00012892787,0.0000022088843,0.000031226926,0.00022427006],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970833,0.000058224326,0.00064180675,0.0001776258,0.0016890005,0.00035000948],"domain_scores_gemma":[0.99633247,0.000052861637,0.0006117737,0.0003529942,0.002499547,0.00015033701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002781911,0.00013432906,0.00025424222,0.0005037858,0.0001625188,0.00004220031,0.00041117985,0.00020295994,0.0001131234],"category_scores_gemma":[0.00083355524,0.00012442896,0.000089781184,0.0013272091,0.000095709125,0.00024081797,0.00005273554,0.002122209,0.0000045216525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012756833,0.00016945106,0.0015595685,0.00012814268,0.000038000486,0.0000018048339,0.000024336214,0.0000014823182,0.9949031,0.00010047921,0.00006874681,0.0028773395],"study_design_scores_gemma":[0.0003516927,0.00014855337,0.00068050565,0.00020702968,0.00000849556,0.00001834313,0.00009253185,0.000027787752,0.9946076,0.0026862961,0.0010630537,0.00010809204],"about_ca_topic_score_codex":0.000031271145,"about_ca_topic_score_gemma":9.860465e-7,"teacher_disagreement_score":0.06479183,"about_ca_system_score_codex":0.00040672315,"about_ca_system_score_gemma":0.00027137823,"threshold_uncertainty_score":0.92200595},"labels":[],"label_agreement":null},{"id":"W2023250395","doi":"10.1142/s0219720010005099","title":"ADEPTS: ADVANCED PEPTIDE <i>DE NOVO</i> SEQUENCING WITH A PAIR OF TANDEM MASS SPECTRA","year":2010,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computational biology; DNA sequencing; Tandem mass spectrometry; Peptide; Proteomics; Biology; Genetics; Chemistry; Mass spectrometry; Biochemistry; Gene; Chromatography","score_opus":0.007141073480087647,"score_gpt":0.24843712025055886,"score_spread":0.24129604677047123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023250395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5961586,0.000038561328,0.40137056,0.00020217987,0.000016117106,0.000047834863,0.000025361149,0.000012820489,0.0021279366],"genre_scores_gemma":[0.5034578,0.000031416414,0.49638352,0.00006651954,0.00003342568,0.00000256438,0.000008361105,0.000004113648,0.000012292667],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992891,0.000004251359,0.0004509207,0.00005468652,0.00008491664,0.00011610876],"domain_scores_gemma":[0.99897814,0.00011017921,0.0005815456,0.000074847376,0.00019200346,0.00006331201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014600874,0.00008851405,0.00018724673,0.000053749765,0.00005163063,0.000011132155,0.00011653312,0.00007872984,0.000024199548],"category_scores_gemma":[0.000025544286,0.0000665144,0.00004474243,0.00006601251,0.00011540539,0.00010176735,0.000018897359,0.000279007,4.5373554e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002084565,0.000103572005,0.014215099,0.00026515068,0.00016984237,0.000011537794,0.0007297324,0.013793712,0.8761899,0.07239486,0.000108091415,0.021810068],"study_design_scores_gemma":[0.005091833,0.0015621274,0.0014632766,0.0004927006,0.00014616261,0.0048669274,0.0021023704,0.13845466,0.37077487,0.45703602,0.017075727,0.00093333377],"about_ca_topic_score_codex":0.0000013740317,"about_ca_topic_score_gemma":0.0000016010697,"teacher_disagreement_score":0.505415,"about_ca_system_score_codex":0.0000276214,"about_ca_system_score_gemma":0.00014310381,"threshold_uncertainty_score":0.27123788},"labels":[],"label_agreement":null},{"id":"W2023333812","doi":"10.1109/dexa.2004.55","title":"Developing a database for proteomic analysis of extracytosolic plant proteins","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Database; Online database; World Wide Web","score_opus":0.03357334267587855,"score_gpt":0.31568137054263024,"score_spread":0.2821080278667517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023333812","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2668222,0.000010154138,0.7313242,0.0001798347,0.0000018114669,0.0005669121,0.00043010467,0.000099941906,0.000564827],"genre_scores_gemma":[0.35672316,0.000015840571,0.64126647,0.000032268672,0.00001670886,0.0014936976,0.00032201756,0.000012742693,0.00011710091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921024,0.0000017410082,0.00028934912,0.0002447468,0.00008249853,0.000171451],"domain_scores_gemma":[0.99933857,0.000023465802,0.00014632153,0.00038969953,0.00006105761,0.00004086535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070671056,0.00010964415,0.00021720481,0.00010419335,0.00007338631,0.000009498607,0.0001952523,0.0000597522,0.00008060984],"category_scores_gemma":[0.000030215053,0.00010007343,0.000115807685,0.00033852292,0.00003217033,0.000070441456,0.000050016628,0.00007073498,0.0000016229246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027823415,0.00006646255,0.000130619,0.00012556178,0.00016838123,5.2299237e-7,0.000042080057,0.00038073392,0.8860526,0.112480745,0.00000912535,0.0005153157],"study_design_scores_gemma":[0.00030373575,0.000010423644,0.000025165866,0.000046734145,0.00014769241,0.0000019032733,0.000025045418,0.00079415337,0.986852,0.010851771,0.00079627556,0.00014509825],"about_ca_topic_score_codex":0.00011507244,"about_ca_topic_score_gemma":0.00005708981,"teacher_disagreement_score":0.101628974,"about_ca_system_score_codex":0.000084739724,"about_ca_system_score_gemma":0.00010593916,"threshold_uncertainty_score":0.40808758},"labels":[],"label_agreement":null},{"id":"W2024028567","doi":"10.1109/bibmw.2012.6470208","title":"A fuzzy cluster-based algorithm for peptide identification","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Institutes of Health; National Natural Science Foundation of China","keywords":"Silhouette; Fuzzy logic; Identification (biology); Computer science; Support vector machine; Matching (statistics); Artificial intelligence; Data mining; Pattern recognition (psychology); Algorithm; Mathematics; Biology","score_opus":0.018470488788968613,"score_gpt":0.2998742992442267,"score_spread":0.2814038104552581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024028567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031887847,0.00003941602,0.98090935,0.00024913708,0.000019958285,0.00025020077,0.000049421516,0.00024627373,0.015047478],"genre_scores_gemma":[0.16784589,0.0000058036394,0.8243079,0.00017833854,0.0001993935,0.001260466,0.00014000993,0.000022396998,0.0060398076],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994599,0.0000022467032,0.00015984787,0.00013289566,0.00005892288,0.00018616427],"domain_scores_gemma":[0.9994943,0.000047308207,0.00007272765,0.00027446964,0.00004904895,0.000062152554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097279684,0.00007661787,0.0000655776,0.000018616814,0.000088655186,0.000017682312,0.00010939387,0.00006270379,0.0001210952],"category_scores_gemma":[0.000011533396,0.00007457345,0.00005780451,0.00004722936,0.000018542434,0.000100872676,0.000017380164,0.000052927473,0.000034909455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018930348,0.00041420717,0.00048244704,0.00012177313,0.000020983623,7.877148e-8,0.00007982091,0.00002479553,0.44591206,0.040083386,0.010714082,0.5021274],"study_design_scores_gemma":[0.0002908712,0.000005785242,0.000023625153,0.000007903933,0.000014661875,0.0000015675782,0.000041587926,0.012106326,0.89424706,0.009953875,0.0831463,0.00016042509],"about_ca_topic_score_codex":0.000006023363,"about_ca_topic_score_gemma":8.6058355e-7,"teacher_disagreement_score":0.501967,"about_ca_system_score_codex":0.000040187137,"about_ca_system_score_gemma":0.000011278975,"threshold_uncertainty_score":0.3041017},"labels":[],"label_agreement":null},{"id":"W2024071559","doi":"10.1016/j.jprot.2012.10.026","title":"Recent advances in cardiovascular proteomics","year":2012,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Proteomics; Myocardial infarction; Proteome; Medicine; Disease; Microvesicles; Bioinformatics; Computational biology; Intensive care medicine; Data science; Pathology; Biology; Computer science; Internal medicine","score_opus":0.04137559957188258,"score_gpt":0.33581675750333834,"score_spread":0.29444115793145575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024071559","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010059413,0.97397935,0.02335881,0.000022568578,0.00014962244,0.0012669183,0.000050094935,0.000036902886,0.0011256972],"genre_scores_gemma":[0.0000010969271,0.80163664,0.19681218,0.0000075102325,0.0008270782,0.0005131449,0.000019541785,0.00011168464,0.00007112627],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99656427,0.00008420643,0.001993374,0.00036656894,0.00046382644,0.00052776805],"domain_scores_gemma":[0.99626994,0.00007737673,0.0023332236,0.00085447106,0.00025429952,0.00021065916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010756569,0.0005871604,0.0027153457,0.00031144236,0.000072693874,0.000048709426,0.00095127546,0.00068951206,0.00011041123],"category_scores_gemma":[0.0001364518,0.00048855104,0.0014750976,0.0004300307,0.00008184883,0.00045207673,0.00017418977,0.0020708903,0.000018467217],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022212924,0.00012405083,0.0000060050074,0.0069070864,0.00019205142,0.000020571657,0.000018878078,0.000046110403,0.00008071255,0.00022430501,0.000019084224,0.99233896],"study_design_scores_gemma":[0.00029190537,0.00003321639,9.3981086e-8,0.0066950587,0.00073840877,0.00047354423,0.000012814318,0.0000037113466,0.00116016,0.0014146772,0.98869586,0.00048054114],"about_ca_topic_score_codex":0.0000016839082,"about_ca_topic_score_gemma":0.0000017631356,"teacher_disagreement_score":0.99185836,"about_ca_system_score_codex":0.00084738614,"about_ca_system_score_gemma":0.00053435005,"threshold_uncertainty_score":0.99975663},"labels":[],"label_agreement":null},{"id":"W2024187121","doi":"10.1074/jbc.m212080200","title":"Phosphorylation of 69-kDa Choline Acetyltransferase at Threonine 456 in Response to Amyloid-β Peptide 1–42","year":2003,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Neurotrauma Foundation; National Cancer Institute; Genome Canada","keywords":"Threonine; Choline acetyltransferase; Peptide; Phosphorylation; Biochemistry; Amyloid (mycology); Acetyltransferase; Chemistry; Biology; Serine; Endocrinology; Cholinergic; Gene","score_opus":0.019369706569225858,"score_gpt":0.28344730425964654,"score_spread":0.26407759769042066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024187121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948715,0.00027704562,0.0024366651,0.0003247733,0.0000093996105,0.00008538389,0.000031761752,0.000020081321,0.0019433676],"genre_scores_gemma":[0.98316646,0.00027555093,0.015742807,0.000073302755,0.00005567412,0.000022093798,0.000010587896,0.000012640732,0.0006409123],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865496,0.000029522776,0.00072138716,0.00021130362,0.00016434018,0.000218494],"domain_scores_gemma":[0.9989252,0.00017717946,0.0003209864,0.00025010263,0.00016702373,0.00015951708],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052476866,0.00017088086,0.0003565388,0.000034996483,0.00004206989,0.000007354168,0.00024893906,0.00024783553,0.0009553979],"category_scores_gemma":[0.00056880544,0.00013627509,0.00014125167,0.0002615565,0.00007913649,0.00004412139,0.000042766227,0.00041522563,0.0000038580806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001294784,0.00016989364,0.0045536747,0.000032056625,0.000010963436,0.000014778831,0.00003165585,0.00024208307,0.9931274,0.00003244579,0.000093716124,0.000396518],"study_design_scores_gemma":[0.00076035043,0.0000871012,0.0008292426,0.00008838783,0.000008412638,0.00008668639,0.000064786116,0.000011613708,0.9890733,0.00073371147,0.008104927,0.0001515151],"about_ca_topic_score_codex":0.0000027297108,"about_ca_topic_score_gemma":8.916922e-7,"teacher_disagreement_score":0.013306141,"about_ca_system_score_codex":0.00020694705,"about_ca_system_score_gemma":0.00006769823,"threshold_uncertainty_score":0.99995786},"labels":[],"label_agreement":null},{"id":"W2024305637","doi":"10.1002/1615-9861(200208)2:8<978::aid-prot978>3.0.co;2-3","title":"Proteomic analysis of human biopsy samples by single two-dimensional electrophoresis: Coomassie, silver, mass spectrometry, and Western blotting","year":2002,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Blot; Coomassie Brilliant Blue; Silver stain; Two-dimensional gel electrophoresis; Staining; Gel electrophoresis; Mass spectrometry; Proteomics; Molecular biology; Chemistry; Peptide mass fingerprinting; Polyacrylamide gel electrophoresis; Chromatography; Biology; Biochemistry; Enzyme; Gene","score_opus":0.018685194923890244,"score_gpt":0.2620862330455228,"score_spread":0.24340103812163255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024305637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811847,0.00039105664,0.016797522,0.00013369684,0.00000644634,0.0005235977,0.00023020762,0.00017535729,0.00055740523],"genre_scores_gemma":[0.7992612,0.000059908594,0.19975016,0.00002739457,0.000052663705,0.0002883984,0.00011299437,0.00005362499,0.00039366362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804115,0.00002361329,0.00060257,0.0006161265,0.0002660687,0.00045044458],"domain_scores_gemma":[0.99866056,0.00006008888,0.0004981256,0.00055031106,0.00009961506,0.00013126976],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001506945,0.00032226235,0.0005544855,0.00026931817,0.00024470937,0.000064330015,0.00031750972,0.00016819497,0.00031819582],"category_scores_gemma":[0.000044542026,0.00033868375,0.00017263003,0.0007463531,0.00018458946,0.00010844381,0.00012718579,0.00032341699,0.0000041966855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002112483,0.00020440583,0.01113354,0.000057735917,0.00028475485,0.0000019071607,0.00003991989,0.00007364293,0.9875937,0.0002786401,0.00006999877,0.00024060535],"study_design_scores_gemma":[0.00048691177,0.00008871094,0.00024045707,0.000041555653,0.00031988195,0.000012425424,0.000014281471,0.0036054493,0.9925624,0.0021874823,0.00006758648,0.00037281582],"about_ca_topic_score_codex":0.000111763096,"about_ca_topic_score_gemma":0.000009165627,"teacher_disagreement_score":0.18295264,"about_ca_system_score_codex":0.00014523263,"about_ca_system_score_gemma":0.000014729642,"threshold_uncertainty_score":0.99990654},"labels":[],"label_agreement":null},{"id":"W2024462308","doi":"10.1097/mpa.0b013e3180cac723","title":"Protein Expression Profiling Reveals Distinctive Changes in Serum Proteins Associated With Chronic Pancreatitis","year":2007,"lang":"en","type":"article","venue":"Pancreas","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Transthyretin; Chemistry; Mass spectrometry; Blood proteins; Apolipoprotein B; Pancreatitis; Time-of-flight mass spectrometry; Surface-enhanced laser desorption/ionization; Matrix-assisted laser desorption/ionization; Proteomics; Chromatography; Molecular biology; Desorption; Internal medicine; Biochemistry; Biology; Endocrinology; Ionization; Ion; Tandem mass spectrometry; Medicine; Adsorption; Protein mass spectrometry; Cholesterol","score_opus":0.011014975476515327,"score_gpt":0.2586215884000649,"score_spread":0.24760661292354955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024462308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749681,0.00012920174,0.014797246,0.00010305781,0.000005740428,0.0014480059,0.00010342609,0.0003398667,0.008105361],"genre_scores_gemma":[0.9709972,0.000021748028,0.025184961,0.00001863658,0.00013346616,0.0022138054,0.000103361024,0.00005463714,0.0012721757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851966,0.00002575535,0.00027847238,0.00044802474,0.00021821106,0.00050989137],"domain_scores_gemma":[0.99907553,0.00008292511,0.00026639138,0.0003798354,0.00009114941,0.00010416356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035290187,0.00023916377,0.000290546,0.00006537386,0.0001442797,0.000023497205,0.00019042978,0.0001810464,0.00016349163],"category_scores_gemma":[0.00017210896,0.00020895501,0.000035084715,0.00029761225,0.000060271534,0.000102829996,0.00007441949,0.00036470467,0.0000073240294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099285855,0.00011546349,0.03438321,0.000109682565,0.0000160252,0.000026195961,0.000073466705,0.0000052216033,0.9611863,0.0013614137,0.0000079450765,0.0026157736],"study_design_scores_gemma":[0.00059183204,0.00007918515,0.0074940524,0.0011823054,0.000012885951,0.0000075607054,0.000062718915,0.00006013853,0.9875547,0.0023262722,0.00032074878,0.00030756224],"about_ca_topic_score_codex":0.0001418012,"about_ca_topic_score_gemma":0.00078784634,"teacher_disagreement_score":0.026889157,"about_ca_system_score_codex":0.00046534327,"about_ca_system_score_gemma":0.00006666479,"threshold_uncertainty_score":0.8520938},"labels":[],"label_agreement":null},{"id":"W2025652687","doi":"10.1021/pr025523f","title":"Quantitative Analysis of the Yeast Proteome by Incorporation of Isotopically Labeled Leucine","year":2002,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Proteome; Yeast; Quantitative proteomics; Stable isotope labeling by amino acids in cell culture; Peptide; Saccharomyces cerevisiae; Biochemistry; Biology; Eukaryote; Quantitative analysis (chemistry); Leucine; Proteomics; Chemistry; Gene; Amino acid; Chromatography; Genome","score_opus":0.08326222048476416,"score_gpt":0.3830039613319934,"score_spread":0.2997417408472292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025652687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796328,0.00027246392,0.016409962,0.0017097275,0.000008404078,0.0006873923,0.000085135165,0.000009300244,0.0011848401],"genre_scores_gemma":[0.96991885,0.00014961167,0.028703092,0.0000066197117,0.000040299146,0.00010838595,0.0000047231633,0.000014836867,0.001053565],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978922,0.00012200996,0.00078849343,0.0001499129,0.00084898766,0.00019836855],"domain_scores_gemma":[0.99713147,0.00012648929,0.00095164456,0.00041147877,0.001305218,0.000073707226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010316588,0.00009993898,0.00038924575,0.0003214396,0.00010402608,0.000017686569,0.0005733376,0.00010844282,0.0005248369],"category_scores_gemma":[0.0004945129,0.00006848059,0.00022471783,0.0017107668,0.00025872275,0.00013525537,0.00011860147,0.0006671983,0.0000025821366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087400826,0.00024988732,0.0017567466,0.000100028876,0.00023460753,0.0000012284611,0.00015455537,0.0000828278,0.994852,0.0013742368,0.00049850915,0.0006079396],"study_design_scores_gemma":[0.0004496607,0.00032659702,0.00048265496,0.00014853003,0.00011306491,0.00000578605,0.00013132869,0.003531726,0.9875379,0.00613111,0.0010495922,0.00009204679],"about_ca_topic_score_codex":0.00003624537,"about_ca_topic_score_gemma":0.00000870923,"teacher_disagreement_score":0.012293129,"about_ca_system_score_codex":0.000105347826,"about_ca_system_score_gemma":0.00008003925,"threshold_uncertainty_score":0.5746596},"labels":[],"label_agreement":null},{"id":"W2025671316","doi":"10.1016/j.jprot.2011.10.019","title":"The starch granule associated proteomes of commercially purified starch reference materials from rice and maize","year":2011,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Starch; Proteome; Granule (geology); Chemistry; Maize starch; Limiting; Trypsin; Food science; Chromatography; Carbohydrate; Biochemistry; Biology; Enzyme","score_opus":0.04277907762133749,"score_gpt":0.2811983402260883,"score_spread":0.23841926260475083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025671316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99318707,0.0001421107,0.0048628654,0.00020925284,0.000030235067,0.0004577852,0.00024121252,0.000019325948,0.0008501502],"genre_scores_gemma":[0.858572,0.0007085276,0.1403885,0.000021907503,0.00007699914,0.00008755278,0.000009780611,0.000027549158,0.00010714463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984463,0.00006962956,0.00081652007,0.00016049229,0.0002696796,0.00023737502],"domain_scores_gemma":[0.99776393,0.000169709,0.0012409447,0.0003368546,0.0004004132,0.000088164365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007314537,0.00016720318,0.0003785793,0.00004390795,0.00019624202,0.0000508971,0.0005544454,0.00016674784,0.0002134164],"category_scores_gemma":[0.0002028196,0.000121274956,0.000065066786,0.00009042076,0.00019147288,0.00013340592,0.00014231437,0.00046495645,0.00000246642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065432256,0.00011030003,0.0009077054,0.000045573615,0.00007708441,0.00000334841,0.0004655864,5.2849805e-7,0.9954864,0.0013996332,0.000047430054,0.00080212223],"study_design_scores_gemma":[0.000592721,0.00019449047,0.002395482,0.000111168214,0.000042702046,0.000008445142,0.0001978404,0.000005653758,0.9481037,0.04778557,0.00042044526,0.00014173891],"about_ca_topic_score_codex":0.00022747798,"about_ca_topic_score_gemma":0.000018293835,"teacher_disagreement_score":0.13552564,"about_ca_system_score_codex":0.00007633971,"about_ca_system_score_gemma":0.00012823202,"threshold_uncertainty_score":0.49454492},"labels":[],"label_agreement":null},{"id":"W2026393010","doi":"10.1002/bmb.20315","title":"Teaching expression proteomics: From the wet‐lab to the laptop","year":2009,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Context (archaeology); Laptop; Computer science; Biology","score_opus":0.005591207986789751,"score_gpt":0.2911627701305143,"score_spread":0.28557156214372453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026393010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94801205,0.0007403407,0.027698651,0.02082167,0.000033050695,0.00027633252,0.000032618933,0.00006367794,0.0023216181],"genre_scores_gemma":[0.9590345,0.000038632377,0.036764607,0.0029656927,0.00031360175,0.0002734154,0.00019264109,0.0000084519415,0.00040848283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939424,0.000021944312,0.00012732107,0.00028799713,0.000039478236,0.00012900458],"domain_scores_gemma":[0.9993468,0.000032338536,0.00007378289,0.00046420013,0.000029661733,0.000053247477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009374953,0.00011735354,0.000071913855,0.0000068258346,0.00026498898,0.000027444408,0.0002740045,0.00013541958,0.00002266128],"category_scores_gemma":[0.0000801467,0.00007528205,0.000032424534,0.000039250663,0.00004986578,0.000017500255,0.000062377185,0.0002275159,0.000003900759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000091568945,0.000037940856,0.00007273144,0.0000036606668,0.0000039428064,8.297726e-8,0.00011266937,6.651577e-7,0.98091805,0.0016732217,0.001132196,0.016035667],"study_design_scores_gemma":[0.00005135997,0.000009764262,0.00004276564,0.000033074662,0.000009199278,0.0000043478167,0.00018078038,0.0000072244993,0.9386146,0.012261267,0.04868548,0.000100140925],"about_ca_topic_score_codex":0.00005954225,"about_ca_topic_score_gemma":6.6991913e-7,"teacher_disagreement_score":0.047553282,"about_ca_system_score_codex":0.000025816847,"about_ca_system_score_gemma":0.000060448292,"threshold_uncertainty_score":0.3069913},"labels":[],"label_agreement":null},{"id":"W2026432427","doi":"10.1016/j.jprot.2013.07.026","title":"Method and platform standardization in MRM-based quantitative plasma proteomics","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Genome British Columbia; Genome Canada","keywords":"Quantitative proteomics; Standardization; Proteomics; Selected reaction monitoring; Workflow; Mass spectrometry; Computer science; Chromatography; Tandem mass spectrometry; Chemistry; Database","score_opus":0.01928943864673078,"score_gpt":0.3153952102321093,"score_spread":0.29610577158537854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026432427","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.402391,0.00003223254,0.5964765,0.00032218712,0.0000107032865,0.00044103418,0.00001543145,0.000017148173,0.00029377663],"genre_scores_gemma":[0.17526747,0.00007430414,0.8243304,0.00004620459,0.00004622139,0.00016084671,0.0000050164726,0.000027403692,0.00004211517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871176,0.000022259745,0.0006725348,0.00017848547,0.00020652224,0.00020844904],"domain_scores_gemma":[0.9985747,0.00012598351,0.00070351094,0.00017455666,0.00031702835,0.000104273786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046990626,0.00017383367,0.00032236188,0.00015805951,0.00007723195,0.00007604717,0.00019598659,0.0001658628,0.00007834303],"category_scores_gemma":[0.0001553,0.00015587355,0.00007393921,0.0001729396,0.00006414069,0.0004239106,0.000044146756,0.00049099023,0.0000031296847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036688955,0.00013526663,0.00184294,0.00015640169,0.000034447803,0.0000073182896,0.00030183303,0.0071685663,0.9733235,0.0076732943,0.0001096485,0.008879859],"study_design_scores_gemma":[0.001611213,0.00021090289,0.00015027328,0.00020957243,0.00002141012,0.000058367466,0.00025259377,0.039094817,0.91611207,0.040915266,0.0010983072,0.00026519102],"about_ca_topic_score_codex":0.000024409814,"about_ca_topic_score_gemma":0.000007262636,"teacher_disagreement_score":0.22785392,"about_ca_system_score_codex":0.0002068619,"about_ca_system_score_gemma":0.0001680444,"threshold_uncertainty_score":0.6356339},"labels":[],"label_agreement":null},{"id":"W2027128654","doi":"10.1016/j.jprot.2013.01.018","title":"Plant proteomics: Current status and future prospects","year":2013,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Proteomics; Quantitative proteomics; Data science; Biology; Computational biology; Computer science","score_opus":0.02847807050330947,"score_gpt":0.3266830664924823,"score_spread":0.2982049959891728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027128654","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012561663,0.99305826,0.0036703923,0.000054400152,0.00020086557,0.0022781687,0.0002810881,0.00005758453,0.00027364312],"genre_scores_gemma":[7.102842e-7,0.8023413,0.19458942,0.0000060216616,0.002095047,0.00071016623,0.000052685322,0.0001020555,0.00010264305],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99718004,0.000036912606,0.0015296142,0.00042107902,0.0003305107,0.0005018212],"domain_scores_gemma":[0.99574697,0.00005694216,0.0030473014,0.0005357513,0.00025820386,0.00035484592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025907892,0.0006470502,0.0018358884,0.00020731486,0.00013859874,0.0001668926,0.00058630866,0.0005571974,0.00011435583],"category_scores_gemma":[0.000053293334,0.00048062683,0.00049230666,0.00017766537,0.000103533566,0.00024427168,0.00021675898,0.0022286552,0.000016189255],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022728871,0.00013485631,0.00000926847,0.021642482,0.00015137091,0.000013472709,0.00006212193,5.0452263e-7,0.0005906396,0.0018674206,0.00066755683,0.9748376],"study_design_scores_gemma":[0.00030330927,0.00008751885,2.5933042e-7,0.008590093,0.00035411376,0.00052332226,0.00002505233,0.0000069232865,0.0015232788,0.0032376926,0.98483914,0.00050927035],"about_ca_topic_score_codex":0.0000028696668,"about_ca_topic_score_gemma":6.054366e-7,"teacher_disagreement_score":0.9841716,"about_ca_system_score_codex":0.00042496173,"about_ca_system_score_gemma":0.0006687509,"threshold_uncertainty_score":0.99976456},"labels":[],"label_agreement":null},{"id":"W2027222148","doi":"10.1038/sdata.2014.31","title":"A repository of assays to quantify 10,000 human proteins by SWATH-MS","year":2014,"lang":"en","type":"article","venue":"Scientific Data","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":458,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Suomen Kulttuurirahasto; Eidgenössische Technische Hochschule Zürich; National Human Genome Research Institute; SystemsX.ch; Kommission für Technologie und Innovation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Molecular Biology Organization; National Institutes of Health; National Science Foundation","keywords":"UniProt; Computational biology; Proteome; Computer science; Human proteins; Mass spectrometry; Human proteome project; Quantitative proteomics; Tandem mass tag; Label-free quantification; Tandem mass spectrometry; Proteomics; Compendium; Data mining; Bioinformatics; Chemistry; Biology; Chromatography; Biochemistry","score_opus":0.0338103432655551,"score_gpt":0.31668508190209504,"score_spread":0.28287473863653995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027222148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5064597,0.00021753612,0.26878053,0.0018469198,0.0005885308,0.0024805176,0.028841127,0.001281253,0.18950388],"genre_scores_gemma":[0.8253529,0.0000020674538,0.089907154,0.00004211338,0.00020397679,0.00030227445,0.005890697,0.000050886476,0.07824796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984258,0.000015137952,0.0003184794,0.0007478725,0.00027237885,0.00022037147],"domain_scores_gemma":[0.996201,0.000024914021,0.00016830931,0.0034047733,0.000092565235,0.00010842981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060580473,0.000114500675,0.00014868917,0.000047742345,0.00036166538,0.00012629897,0.001660411,0.00007568687,0.00033617156],"category_scores_gemma":[0.00011386044,0.00011238761,0.000031601605,0.00023027106,0.00020359154,0.00015419691,0.00072269683,0.00012805105,0.000065552835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032720372,0.0000592708,0.000054417298,0.000038506667,0.0000040278665,2.3429617e-7,0.000030573003,0.0000020209263,0.87701803,0.0016628951,0.11965026,0.0014765031],"study_design_scores_gemma":[0.000054742304,0.000009946832,0.000008662037,0.000030530067,0.000005845116,0.0000010660648,0.000009653272,0.00024998697,0.5564508,0.0009346473,0.44215164,0.00009250574],"about_ca_topic_score_codex":0.00010789572,"about_ca_topic_score_gemma":0.000015848738,"teacher_disagreement_score":0.32250136,"about_ca_system_score_codex":0.000025212441,"about_ca_system_score_gemma":0.00002880652,"threshold_uncertainty_score":0.4583034},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W2027319128","doi":"10.1002/pmic.200400991","title":"Single‐step <b><i>Strep</i></b>‐tag® purification for the isolation and identification of protein complexes from mammalian cells","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affinity chromatography; Protein phosphatase 2; Multiprotein complex; Protein purification; Identification (biology); Mass spectrometry; Biology; Elution; Computational biology; Proteomics; Tandem affinity purification; Immunoprecipitation; Biochemistry; Isolation (microbiology); FLAG-tag; Cell culture; Chemistry; Chromatography; Phosphatase; Phosphorylation; Bioinformatics; Genetics; Enzyme; Recombinant DNA; Gene","score_opus":0.017526652480780457,"score_gpt":0.25507800957978144,"score_spread":0.237551357099001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027319128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35289142,0.00021980857,0.64350826,0.0011511993,0.00001364255,0.001683503,0.00030089324,0.000088035325,0.00014322119],"genre_scores_gemma":[0.66899276,0.000042381576,0.3291667,0.000022431303,0.00013710829,0.0012405623,0.00010903493,0.00002498277,0.00026403653],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989543,0.000011120201,0.0004716376,0.00030370988,0.00011274479,0.00014651963],"domain_scores_gemma":[0.998781,0.00009385361,0.0004797681,0.00048312198,0.00012560649,0.000036629466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016960035,0.00013929924,0.0001399917,0.00002836412,0.0001866185,0.00005934932,0.0002331939,0.00011400113,0.00003246556],"category_scores_gemma":[0.000041969546,0.00012501121,0.00005593626,0.00007705496,0.00010224486,0.00015416657,0.0000440325,0.00011622774,0.000004802954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041698757,0.00006336905,0.00006938704,0.00005519227,0.0000106609405,1.4707445e-8,0.00010372247,0.000080486156,0.979621,0.0035532296,0.00004593941,0.01635532],"study_design_scores_gemma":[0.00024626873,0.000016036296,0.00009061067,0.000025723844,0.000027648584,6.5682826e-7,0.00007249154,0.014867402,0.9684215,0.007113858,0.008983574,0.00013421933],"about_ca_topic_score_codex":0.000059444294,"about_ca_topic_score_gemma":0.000023124796,"teacher_disagreement_score":0.31610134,"about_ca_system_score_codex":0.00006225812,"about_ca_system_score_gemma":0.000019623134,"threshold_uncertainty_score":0.5097809},"labels":[],"label_agreement":null},{"id":"W2027781207","doi":"10.1002/jms.1696","title":"Defining the membrane proteome of NK cells","year":2009,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Cancer Institute; Canadian Institutes of Health Research; Health Sciences Centre Foundation","keywords":"Chemistry; Membrane; Proteome; Membrane protein; Transmembrane protein; Peripheral membrane protein; Integral membrane protein; Trypsin; Biochemistry; Tandem mass spectrometry; Chromatography; Mass spectrometry; Enzyme","score_opus":0.006686546463294058,"score_gpt":0.2558338763480035,"score_spread":0.24914732988470942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027781207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8027831,0.0028169327,0.12615056,0.004829794,0.000105379266,0.00036373694,0.00003523517,0.00009821778,0.062817074],"genre_scores_gemma":[0.82348424,0.00027437654,0.17577599,0.00006654302,0.0001451401,0.0000036884355,7.190684e-7,0.000011391584,0.00023788145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998995,0.000010501137,0.0004702134,0.00009311198,0.00026190994,0.00016924707],"domain_scores_gemma":[0.9988068,0.00008108864,0.0006763339,0.0002794315,0.00010069487,0.000055687313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028693595,0.00010661624,0.00024207302,0.000101232836,0.000061605635,0.000018165882,0.00040542992,0.00007190606,0.00032675074],"category_scores_gemma":[0.000051140996,0.00007339255,0.00016101045,0.00027929086,0.000043026783,0.00008421859,0.000020090703,0.00046505683,0.0000042597944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002952665,0.000059675003,0.00006432506,0.000025384099,0.000020385361,0.000005695351,0.000024596327,0.000050180523,0.9905199,0.008134005,0.00017058243,0.00089578924],"study_design_scores_gemma":[0.00021875027,0.0001135053,0.000082162645,0.000062120744,0.000025205058,0.0000735198,0.00006396583,0.000024043591,0.9742138,0.023595637,0.001449269,0.00007807103],"about_ca_topic_score_codex":0.000001265144,"about_ca_topic_score_gemma":1.0192619e-7,"teacher_disagreement_score":0.06257919,"about_ca_system_score_codex":0.00006274014,"about_ca_system_score_gemma":0.000044046814,"threshold_uncertainty_score":0.35776913},"labels":[],"label_agreement":null},{"id":"W2027961289","doi":"10.1038/nbt0202-163","title":"De novo peptide sequencing and quantitative profiling of complex protein mixtures using mass-coded abundance tagging","year":2002,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":231,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteome; Tandem mass spectrometry; Chemistry; Isobaric labeling; Peptide; Mass spectrometry; Proteomics; Tandem mass tag; Computational biology; Capillary electrophoresis; Chromatography; Peptide mapping; Peptide sequence; Protein mass spectrometry; Quantitative proteomics; Biochemistry; Biology","score_opus":0.032655651185973474,"score_gpt":0.30874475850075117,"score_spread":0.2760891073147777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027961289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8689139,0.0015151621,0.12692258,0.00092621084,0.00000974286,0.00033635268,0.000047871516,0.0003765331,0.00095167843],"genre_scores_gemma":[0.53315544,0.00004615112,0.46664023,0.000050450206,0.000015098989,0.000032466913,0.000004393701,0.00001708765,0.000038678107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989758,0.000010927483,0.00025702603,0.00036581513,0.000094785995,0.000295657],"domain_scores_gemma":[0.9992597,0.000045744553,0.0002482676,0.00033643338,0.00007471638,0.00003512984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091699425,0.00017815323,0.00025066937,0.00011594468,0.00014219488,0.000015130075,0.0002451216,0.0008701388,0.000038456605],"category_scores_gemma":[0.00016033996,0.00018250011,0.000042677046,0.00024081308,0.00030095738,0.00006599706,0.0000882383,0.0010044108,8.676571e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010589526,0.000014211343,0.00011133958,0.000115842246,0.000014796238,0.0000060842103,0.000058909525,0.00005637049,0.940513,0.058274142,0.000008705789,0.000815997],"study_design_scores_gemma":[0.00017920372,0.000022944363,0.0000027648944,0.00013332131,0.000011754739,0.00006115086,0.00016496629,0.018319353,0.9669654,0.01300421,0.0009561477,0.00017881463],"about_ca_topic_score_codex":0.000019294199,"about_ca_topic_score_gemma":0.000003661219,"teacher_disagreement_score":0.33971766,"about_ca_system_score_codex":0.00015004259,"about_ca_system_score_gemma":0.000025829397,"threshold_uncertainty_score":0.7442139},"labels":[],"label_agreement":null},{"id":"W2027961368","doi":"10.1021/ac010583a","title":"Fractionation of Isotopically Labeled Peptides in Quantitative Proteomics","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":233,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Canadian Institute for Theoretical Astrophysics; Purdue University","keywords":"Chemistry; Derivatization; Peptide; Chromatography; Resolution (logic); Deuterium; Fractionation; Isobaric labeling; Quantitative proteomics; Isotope; Reversed-phase chromatography; Stable isotope ratio; Reagent; Proteomics; High-performance liquid chromatography; Mass spectrometry; Tandem mass spectrometry; Biochemistry; Organic chemistry; Protein mass spectrometry","score_opus":0.0206158822459869,"score_gpt":0.31542063086031275,"score_spread":0.2948047486143258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027961368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94635546,0.000022110573,0.014407923,0.0004684347,0.000002582691,0.00008991406,0.000011532968,0.000052712214,0.0385893],"genre_scores_gemma":[0.9619794,0.000071896495,0.03589493,0.000033782122,0.00003084242,0.000056438003,0.000034741515,0.000012496623,0.0018854766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99917316,0.000003900133,0.0003231083,0.00021696687,0.00013325713,0.00014958315],"domain_scores_gemma":[0.9994167,0.00009289127,0.00011524353,0.00022233951,0.00010152523,0.000051273277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006642491,0.00010296337,0.0001718515,0.000021867889,0.00002798929,0.000008598925,0.00014506213,0.00013870976,0.00057624857],"category_scores_gemma":[0.00019325543,0.00010730961,0.00006113462,0.00020309242,0.000085730455,0.00006928114,0.000035478202,0.00023976309,0.0000071533805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076243065,0.0002466363,0.019672519,0.000103847386,0.000020503634,0.0000063644993,0.000036959515,0.00011887641,0.9666263,0.01251247,0.00007872294,0.00050059427],"study_design_scores_gemma":[0.00036017885,0.000011836389,0.00050022535,0.00006184902,0.000014155984,0.00000872836,0.00013214753,0.009431042,0.96913266,0.017238395,0.0029284214,0.00018035017],"about_ca_topic_score_codex":0.00002523065,"about_ca_topic_score_gemma":0.0000048890843,"teacher_disagreement_score":0.03670382,"about_ca_system_score_codex":0.00007776094,"about_ca_system_score_gemma":0.00003548017,"threshold_uncertainty_score":0.63095176},"labels":[],"label_agreement":null},{"id":"W2028228794","doi":"10.1371/journal.pone.0057339","title":"MS-H: A Novel Proteomic Approach to Isolate and Type the E. coli H Antigen Using Membrane Filtration and Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Provincial Laboratory of Public Health; Public Health Agency of Canada; University of Manitoba","funders":"","keywords":"Antigen; Escherichia coli; Serotype; Flagellum; Microbiology; Tandem mass spectrometry; Mass spectrometry; Chemistry; Chromatography; Biology; Liquid chromatography–mass spectrometry; Bacteria; Biochemistry; Gene; Immunology; Genetics","score_opus":0.0341619256667499,"score_gpt":0.24309660103935193,"score_spread":0.20893467537260202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028228794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577655,0.00013384063,0.03786252,0.0003020027,0.0000043274567,0.0012680854,0.000023706893,0.00013328306,0.002506706],"genre_scores_gemma":[0.74669486,0.00024304813,0.25233915,0.000086989116,0.00009362285,0.00037383416,0.000016058993,0.00003576953,0.00011661948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989588,0.000010559274,0.00023171067,0.00036867365,0.0001676893,0.00026256195],"domain_scores_gemma":[0.9992781,0.000029096056,0.00012447525,0.0003728411,0.00008774723,0.00010773548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010133701,0.00018897266,0.00023319504,0.00007148833,0.00023942163,0.00010852227,0.0001720951,0.0001271099,0.00010023494],"category_scores_gemma":[0.000026787404,0.00016123551,0.00003143909,0.0003345244,0.00008561197,0.00015526549,0.000082696926,0.00022383718,0.0000068622353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029034694,0.00022067358,0.00058849383,0.00011675321,0.00007257406,1.8913978e-7,0.00009381715,0.000008310035,0.9984388,0.00039507612,0.000018200064,0.000018097315],"study_design_scores_gemma":[0.00028074358,0.00008421421,0.00078865647,0.00011082609,0.000064570144,0.000014491633,0.00004955283,0.008433192,0.9889858,0.0008618133,0.00006460899,0.00026157167],"about_ca_topic_score_codex":0.00010039059,"about_ca_topic_score_gemma":0.0000025331328,"teacher_disagreement_score":0.21447664,"about_ca_system_score_codex":0.00003721783,"about_ca_system_score_gemma":0.00002576738,"threshold_uncertainty_score":0.6574994},"labels":[],"label_agreement":null},{"id":"W2028369276","doi":"10.1002/prca.200800030","title":"High‐resolution biomarker discovery: Moving from large‐scale proteome profiling to quantitative validation of lead candidates","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Biomarker discovery; Context (archaeology); Proteomics; Computer science; Proteome; Computational biology; Biomarker; Precision medicine; Data science; Personalized medicine; Bioinformatics; Medicine; Biology; Pathology","score_opus":0.04995304309119984,"score_gpt":0.3603436232204883,"score_spread":0.31039058012928844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028369276","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4905648,0.00003363201,0.50579554,0.00037738582,0.000018869834,0.0017685886,0.0010488514,0.0001547561,0.0002375934],"genre_scores_gemma":[0.48794785,0.00010571174,0.50535405,0.00006276728,0.00012496898,0.005430283,0.00074550346,0.000045560784,0.00018332557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99693894,0.00006161595,0.0013757771,0.00090466894,0.00030362007,0.00041540124],"domain_scores_gemma":[0.9973378,0.00042794104,0.0007425261,0.0009977723,0.00031563954,0.00017830728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046925741,0.00030927904,0.0005460279,0.000109023764,0.00044323065,0.000045988352,0.00056603795,0.00030704122,0.00005865329],"category_scores_gemma":[0.00030764742,0.0003175758,0.00021822412,0.0005371757,0.0002749933,0.00034435105,0.00028578175,0.00046046515,0.0000928071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025378994,0.00084329746,0.019961149,0.00008597435,0.00008977571,8.0363776e-7,0.0002347333,0.0003341088,0.9615258,0.015595624,0.00016803718,0.00090690225],"study_design_scores_gemma":[0.00068533776,0.00007308231,0.0016515992,0.00008026435,0.000060714818,0.0000028152426,0.00014782285,0.004473257,0.963108,0.027609933,0.0016597217,0.00044744258],"about_ca_topic_score_codex":0.00027871292,"about_ca_topic_score_gemma":0.000028532018,"teacher_disagreement_score":0.01830955,"about_ca_system_score_codex":0.0001366663,"about_ca_system_score_gemma":0.00016471407,"threshold_uncertainty_score":0.99992764},"labels":[],"label_agreement":null},{"id":"W2029283564","doi":"10.1016/j.jprot.2013.11.022","title":"Enzyme Linked Immuno Mass Spectrometric Assay (ELIMSA)","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Horseradish peroxidase; Mass spectrometry; Immunoassay; Analyte; Chromatography; Enzyme; Alkaline phosphatase; Biochemistry; Antibody; Biology","score_opus":0.011664088335797716,"score_gpt":0.25538774130941627,"score_spread":0.24372365297361856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029283564","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41830018,0.00051399245,0.5703931,0.0015215904,0.000107460706,0.00054753595,0.00001537901,0.0001059395,0.008494859],"genre_scores_gemma":[0.41487747,0.00036029998,0.5830203,0.00007930491,0.00044580482,0.00009163327,0.000003900686,0.000040104198,0.001081174],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985318,0.000019290263,0.0007053662,0.0001629565,0.0002829141,0.00029767214],"domain_scores_gemma":[0.9981785,0.00008708085,0.00083275046,0.00039011554,0.00036379945,0.00014777126],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037085207,0.00018668568,0.00031939533,0.00020525364,0.00009924688,0.000097368335,0.00055020367,0.00018738321,0.001033071],"category_scores_gemma":[0.00019448982,0.00016395612,0.00020706312,0.00034356726,0.00005220834,0.00031658856,0.00006617342,0.00077899045,0.000086430075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019589934,0.000070765396,0.00028014233,0.000026397622,0.00004006166,0.000005579417,0.000024486602,0.000040669303,0.99524975,0.00095762004,0.00091754366,0.0023673805],"study_design_scores_gemma":[0.00057688367,0.000100001205,0.00018737717,0.00006533392,0.00003190443,0.00015641062,0.00006370555,0.0005285394,0.94221836,0.049462106,0.0063519566,0.00025743045],"about_ca_topic_score_codex":0.00001295757,"about_ca_topic_score_gemma":2.2369281e-7,"teacher_disagreement_score":0.05303141,"about_ca_system_score_codex":0.00022972678,"about_ca_system_score_gemma":0.00009877818,"threshold_uncertainty_score":0.99988014},"labels":[],"label_agreement":null},{"id":"W2029385970","doi":"10.1007/s00216-009-3345-0","title":"Precipitation and selective extraction of human serum endogenous peptides with analysis by quadrupole time-of-flight mass spectrometry reveals posttranslational modifications and low-abundance peptides","year":2009,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation; Toronto Metropolitan University","funders":"","keywords":"Chemistry; Chromatography; Mass spectrometry; Electrospray ionization; Tandem mass spectrometry; Peptide; Protein mass spectrometry; Protein precipitation; Electrospray; Top-down proteomics; Ion suppression in liquid chromatography–mass spectrometry; Matrix-assisted laser desorption/ionization; Tandem mass tag; Proteomics; Biochemistry; Desorption; Quantitative proteomics; Organic chemistry","score_opus":0.011927925143358038,"score_gpt":0.268149894352718,"score_spread":0.25622196920935997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029385970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838851,0.00033505945,0.009806953,0.00045680237,7.6233584e-7,0.00012741375,0.00024381453,0.00004413158,0.0050999653],"genre_scores_gemma":[0.990472,0.00014151895,0.008520758,0.000018136821,0.00002768039,0.000012878148,0.00013399178,0.00001179878,0.0006612344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998541,0.000012679917,0.00048252798,0.0004907847,0.0002458333,0.0002271897],"domain_scores_gemma":[0.99897736,0.00018468371,0.00023555983,0.0002404824,0.00018734213,0.00017455529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011997468,0.0002279178,0.00045891458,0.00009064966,0.00015123739,0.000036771897,0.00010344132,0.00017270562,0.00010371565],"category_scores_gemma":[0.00004449965,0.00020128727,0.0000993383,0.0005779873,0.00044145674,0.00012677908,0.00001889529,0.00022728206,5.291527e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006074841,0.00019502731,0.008677018,0.00013530032,0.00030285263,0.0000011916336,0.00004829378,0.000020124757,0.9883477,0.001910084,0.000016383994,0.00028524053],"study_design_scores_gemma":[0.00037907276,0.00013549144,0.008625206,0.000073513795,0.0010872995,0.000028097014,0.00012907198,0.0099204285,0.969125,0.010145033,0.000014031587,0.00033779987],"about_ca_topic_score_codex":0.00002058123,"about_ca_topic_score_gemma":0.0000023665543,"teacher_disagreement_score":0.019222781,"about_ca_system_score_codex":0.00004028129,"about_ca_system_score_gemma":0.000028810831,"threshold_uncertainty_score":0.82082564},"labels":[],"label_agreement":null},{"id":"W2029762242","doi":"10.1002/pmic.201400448","title":"Emerging proteomic technologies for elucidating context‐dependent cellular signaling events: A big challenge of tiny proportions","year":2014,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Marfan Foundation","keywords":"Proteomics; Context (archaeology); Computational biology; Workflow; Systems biology; Computer science; Biology; Data science","score_opus":0.04199916907650635,"score_gpt":0.3295122463601557,"score_spread":0.28751307728364933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029762242","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000036249,0.6295682,0.36007932,0.000069086775,0.000053158114,0.007815753,0.0012464963,0.0007859837,0.000345745],"genre_scores_gemma":[0.0005222597,0.75015014,0.21417975,0.0000043088203,0.00027272047,0.033518273,0.00079927035,0.00025143664,0.00030183414],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99603295,0.000041394647,0.0019188243,0.0010492785,0.00031647744,0.0006411005],"domain_scores_gemma":[0.995381,0.00020761062,0.0026701845,0.0013836186,0.00027969223,0.000077914876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061223697,0.00078203523,0.0021981103,0.00026766426,0.00033103538,0.00003871072,0.0011265136,0.0009170596,0.00007642412],"category_scores_gemma":[0.0005416928,0.00073572644,0.0009747653,0.0002796851,0.0001454876,0.000087762004,0.0004249794,0.0009961337,0.000012843205],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012201587,0.00014732423,8.522338e-7,0.039477907,0.00024251436,0.0000011073753,0.000055479275,0.000015190013,0.008677011,0.0029292598,0.000025227871,0.94841594],"study_design_scores_gemma":[0.00037139998,0.00008798232,2.9761489e-9,0.017302902,0.00060248433,0.00001132661,0.00019020309,0.00022076082,0.15942201,0.01235561,0.80843985,0.0009954936],"about_ca_topic_score_codex":0.000013594733,"about_ca_topic_score_gemma":0.0000027853675,"teacher_disagreement_score":0.9474204,"about_ca_system_score_codex":0.000301062,"about_ca_system_score_gemma":0.00033087202,"threshold_uncertainty_score":0.9995094},"labels":[],"label_agreement":null},{"id":"W2030175815","doi":"10.1016/j.cll.2011.07.005","title":"High-Flow Multiplexed MRM-Based Analysis of Proteins in Human Plasma Without Depletion or Enrichment","year":2011,"lang":"en","type":"article","venue":"Clinics in Laboratory Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Prevention of Organ Failure; University of Victoria","funders":"Western Economic Diversification Canada; Genome British Columbia; University of Victoria; Genome Canada","keywords":"Chemistry; Analyte; Immunoprecipitation; Chromatography; Multiplexing; Antibody; Abundance (ecology); Detection limit; Computational biology; Biochemistry; Biology; Computer science; Immunology","score_opus":0.04144594535612934,"score_gpt":0.3456937609626585,"score_spread":0.3042478156065292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030175815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99245924,0.000039282982,0.006436251,0.00007991797,0.000032939573,0.00044772285,0.00009289451,0.00008230968,0.00032943956],"genre_scores_gemma":[0.9213215,0.000051426163,0.07777879,0.00010733074,0.000052995816,0.00046644185,0.00014756952,0.000024794605,0.000049174978],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981515,0.000045529378,0.0009829041,0.00039645808,0.00021858417,0.00020501994],"domain_scores_gemma":[0.9984548,0.0001539075,0.00046311432,0.0006720493,0.00017664103,0.000079482204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064421754,0.00018778183,0.00060650695,0.00037318977,0.000041235933,0.0000023677019,0.00026798475,0.00020941741,0.0006422828],"category_scores_gemma":[0.00033558765,0.00015793409,0.00005487519,0.0014138779,0.0002112193,0.000048681184,0.000038320904,0.0003570855,0.0000015100748],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096564693,0.0020048637,0.5241315,0.00038652582,0.0002926055,0.000042026237,0.0014728706,0.0029001848,0.46002057,0.0048407624,0.00010435276,0.0028380896],"study_design_scores_gemma":[0.014596031,0.0010366972,0.048678372,0.0013654606,0.0011047386,8.176566e-7,0.0010387088,0.053655107,0.86913997,0.0039318134,0.004292039,0.0011602498],"about_ca_topic_score_codex":0.00018673007,"about_ca_topic_score_gemma":0.00067498675,"teacher_disagreement_score":0.4754531,"about_ca_system_score_codex":0.00013107927,"about_ca_system_score_gemma":0.00011070809,"threshold_uncertainty_score":0.70325464},"labels":[],"label_agreement":null},{"id":"W2030659385","doi":"10.1142/s0219720006001746","title":"PRIMA: PEPTIDE ROBUST IDENTIFICATION FROM MS/MS SPECTRA","year":2006,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tandem mass spectrometry; Mascot; Computer science; Identification (biology); Software; Construct (python library); Ion trap; Proteomics; Peptide; Tandem; Artificial intelligence; Mass spectrometry; Data mining; Chemistry; Chromatography; Biology; Engineering","score_opus":0.009623334375525457,"score_gpt":0.2478373714365536,"score_spread":0.23821403706102814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030659385","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2750617,0.00017961446,0.7209714,0.00039499436,0.000036598492,0.000050449195,0.00008414945,0.000020634607,0.003200443],"genre_scores_gemma":[0.57396984,0.00009009969,0.42532632,0.00007925801,0.00022951413,0.000004556749,0.00023031417,0.0000065940912,0.00006349784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990837,0.0000056585827,0.00064529554,0.000072525196,0.00009412131,0.00009872105],"domain_scores_gemma":[0.99898607,0.00009738582,0.0006359479,0.00008254916,0.00015813854,0.00003991816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105449966,0.0000901074,0.00015623514,0.00006233994,0.000085127795,0.000040381983,0.00012616572,0.00008086247,0.00006742074],"category_scores_gemma":[0.00001360917,0.00007720282,0.00005804296,0.00005805889,0.000072054114,0.00013500235,0.00003028844,0.00014830439,0.000006306123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029419406,0.00089482655,0.0220272,0.00034166014,0.00046731465,0.000016556589,0.0008595681,0.14159836,0.2664633,0.4711695,0.012983835,0.08288368],"study_design_scores_gemma":[0.0011829245,0.00011678861,0.01117999,0.00007498171,0.000068294634,0.0002387518,0.00017370177,0.14749567,0.028581273,0.7950354,0.015466623,0.00038559388],"about_ca_topic_score_codex":0.000024775114,"about_ca_topic_score_gemma":0.0000026370951,"teacher_disagreement_score":0.32386592,"about_ca_system_score_codex":0.000036917656,"about_ca_system_score_gemma":0.00004220955,"threshold_uncertainty_score":0.314824},"labels":[],"label_agreement":null},{"id":"W2030680494","doi":"10.4161/cc.5.15.3101","title":"Systematic Proteome and Transcriptome Analysis of Stem Cell Populations","year":2006,"lang":"en","type":"review","venue":"Cell Cycle","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institute for Theoretical Astrophysics","keywords":"Proteome; Transcriptome; Biology; Computational biology; Proteomics; Cell biology; Stem cell; Messenger RNA; Haematopoiesis; Gene expression; Bioinformatics; Genetics; Gene","score_opus":0.029450263160124182,"score_gpt":0.30615536134214966,"score_spread":0.2767050981820255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030680494","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030911877,0.9856938,0.005552234,0.0000018433724,0.0000074859067,0.001196142,0.000390286,0.00009942538,0.006749627],"genre_scores_gemma":[0.0027689857,0.9844533,0.006946142,0.0000021663454,0.000023657694,0.0016028227,0.00048876,0.00007325834,0.0036408827],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835694,0.00003043844,0.000926704,0.00037084814,0.00013941624,0.00017567076],"domain_scores_gemma":[0.998416,0.00006046198,0.0007388255,0.0006819782,0.00003990185,0.000062822444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009421433,0.00029843033,0.0017309752,0.00023454291,0.00007788174,0.000024650815,0.0002590567,0.00026748097,0.00005403092],"category_scores_gemma":[0.0000014606852,0.00026330052,0.00056781544,0.00065361604,0.00004288171,0.00004004848,0.00003866092,0.00021661166,0.0000063098114],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012280126,0.00021984577,0.000010343027,0.9826816,0.00045334653,0.0000022573158,0.00006527139,0.00012325353,0.0024790438,0.0006931381,0.00004059168,0.013230079],"study_design_scores_gemma":[0.00096169283,0.00008404518,0.000008291664,0.13377738,0.13071074,0.000030889187,0.00028652223,0.0031772295,0.028270008,0.0034593332,0.69451827,0.004715593],"about_ca_topic_score_codex":0.000034568966,"about_ca_topic_score_gemma":0.0000047352582,"teacher_disagreement_score":0.84890425,"about_ca_system_score_codex":0.00006819407,"about_ca_system_score_gemma":0.000032424632,"threshold_uncertainty_score":0.99998194},"labels":[],"label_agreement":null},{"id":"W2030705576","doi":"10.1016/j.tcb.2003.10.006","title":"Organelle proteomics: looking at less to see more","year":2003,"lang":"en","type":"review","venue":"Trends in Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":180,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biology; Proteomics; Computational biology; Organelle; Realization (probability); Gene; Alternative splicing; Subcellular localization; Genome; Cell; Cell biology; Bioinformatics; Genetics","score_opus":0.049753623154584196,"score_gpt":0.3640703998926437,"score_spread":0.3143167767380595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030705576","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001906946,0.9414409,0.001050269,0.000042892432,0.000064320295,0.00055133825,0.00026156183,0.00017352265,0.05622454],"genre_scores_gemma":[0.000029028653,0.9525132,0.026699336,0.00006179827,0.000115660725,0.0015336626,0.0007445784,0.00010741412,0.01819529],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979781,0.000042120915,0.0006291283,0.00081489526,0.0000540721,0.00048170888],"domain_scores_gemma":[0.9986464,0.00007495545,0.00032538435,0.0008297658,0.000022412876,0.000101090634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010977057,0.00048085055,0.001164564,0.00025293653,0.000086590015,0.000010666541,0.0005944257,0.00085677113,0.0013590058],"category_scores_gemma":[0.000011104102,0.00043383896,0.00022604215,0.00045943545,0.00008144174,0.000014637837,0.0003353162,0.00063036114,0.00015709284],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061723017,0.000079628604,0.000031770443,0.0028288204,0.00002345428,0.0000101814485,0.000049260154,0.0000058326395,0.00362292,0.0005089585,0.0008474712,0.99198556],"study_design_scores_gemma":[0.000115237934,0.0000157003,7.5106094e-8,0.0006802252,0.000053074316,0.000020116247,0.000010091914,0.0000023238108,0.008496997,0.00027915352,0.9898704,0.00045657362],"about_ca_topic_score_codex":0.000025945934,"about_ca_topic_score_gemma":0.00002698448,"teacher_disagreement_score":0.9915289,"about_ca_system_score_codex":0.00044784008,"about_ca_system_score_gemma":0.00006374807,"threshold_uncertainty_score":0.99981135},"labels":[],"label_agreement":null},{"id":"W2031095666","doi":"10.1021/pr049882h","title":"Open Source System for Analyzing, Validating, and Storing Protein Identification Data","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":692,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba","funders":"","keywords":"Server; Computer science; Identification (biology); Database; Database server; Open source; Relational database; Interface (matter); Proteome; World Wide Web; Operating system; Bioinformatics; Software","score_opus":0.17311260302238515,"score_gpt":0.457940666299246,"score_spread":0.28482806327686083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031095666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3818308,0.00034950086,0.61374855,0.0010252828,0.000019046629,0.00244736,0.00006460602,0.0000507957,0.00046403788],"genre_scores_gemma":[0.75765,0.00004596399,0.24031949,0.0000019835109,0.00031939294,0.0006229792,0.000020188425,0.000040743682,0.0009792568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983404,0.000045093562,0.00056972145,0.00031906963,0.00044253125,0.0002831284],"domain_scores_gemma":[0.99787956,0.00007911406,0.0005336644,0.0007421377,0.000631713,0.00013381282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004221252,0.000100570694,0.00022047662,0.00016237801,0.0004126734,0.00040835803,0.0017290722,0.00008811005,0.000011811133],"category_scores_gemma":[0.00057623966,0.000090572124,0.000039704097,0.00024625714,0.000075633645,0.00062441727,0.0008939125,0.00053793896,0.0000027784529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007720966,0.00006560187,0.0001082677,0.0005961691,0.00003382732,0.0000042878737,0.00010756844,0.00006263493,0.9897138,0.003237428,0.000089254456,0.005903968],"study_design_scores_gemma":[0.0009440308,0.00010428928,0.000015520063,0.0009066714,0.000018786966,0.000098706885,0.0005286421,0.0004209625,0.9759896,0.009461148,0.01136955,0.00014212697],"about_ca_topic_score_codex":0.000076649696,"about_ca_topic_score_gemma":0.0000034808272,"teacher_disagreement_score":0.37581918,"about_ca_system_score_codex":0.00032481685,"about_ca_system_score_gemma":0.00024003605,"threshold_uncertainty_score":0.3937806},"labels":[],"label_agreement":null},{"id":"W2031810865","doi":"10.1021/pr070122r","title":"A Differential Phosphoproteomic Analysis of Retinoic Acid-Treated P19 Cells","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Phosphorylation; Retinoic acid; Protein phosphorylation; Proteome; Proteomics; Biology; Biochemistry; P19 cell; Chemistry; Cell biology; Cellular differentiation; Computational biology; Protein kinase A; Gene","score_opus":0.03682467162325436,"score_gpt":0.37919878543798047,"score_spread":0.3423741138147261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031810865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95206946,0.00015200641,0.045834035,0.00010954333,0.00001648201,0.00039877137,0.0000353962,0.00002679218,0.0013575027],"genre_scores_gemma":[0.96850353,0.00018719846,0.03030912,0.0000040783348,0.00015595918,0.000049093916,0.000009386082,0.00003216567,0.00074948854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99691814,0.00006554258,0.00108197,0.00027313954,0.0010925452,0.00056868716],"domain_scores_gemma":[0.9970478,0.00020102457,0.0007647684,0.0005663213,0.0011749325,0.00024516194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020211465,0.0001837575,0.00061023847,0.0011050737,0.00015400643,0.00004257255,0.0007330087,0.00023461845,0.0015267888],"category_scores_gemma":[0.00018899799,0.00015418272,0.00045598304,0.0020923256,0.00023880992,0.00012019035,0.00017212873,0.0012071336,0.00000993891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043682422,0.00023170515,0.0019964757,0.00008825683,0.00046743985,0.000029542043,0.0000883841,0.000025612078,0.9946278,0.00016783396,0.000100230216,0.001739921],"study_design_scores_gemma":[0.00048511065,0.00014956055,0.0007250812,0.00009286206,0.00021310589,0.00001436498,0.00010661781,0.0003069845,0.9960335,0.0012100615,0.00052426866,0.00013848014],"about_ca_topic_score_codex":0.00008793838,"about_ca_topic_score_gemma":0.000010323408,"teacher_disagreement_score":0.016434038,"about_ca_system_score_codex":0.0002801538,"about_ca_system_score_gemma":0.00014489588,"threshold_uncertainty_score":0.99938595},"labels":[],"label_agreement":null},{"id":"W2032091997","doi":"10.1002/pmic.201300438","title":"The first pilot project of the consortium for top‐down proteomics: <scp>A</scp> status report","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Welch Foundation","keywords":"UniProt; Proteomics; Identification (biology); Computer science; Computational biology; Top-down proteomics; Biology; Mass spectrometry; Tandem mass spectrometry; Chemistry; Selected reaction monitoring; Chromatography; Genetics","score_opus":0.01695191657000933,"score_gpt":0.2752467568822237,"score_spread":0.2582948403122144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032091997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64095354,0.00020981456,0.31953457,0.0020491201,0.00025582255,0.013299964,0.00045524142,0.0005191482,0.022722809],"genre_scores_gemma":[0.52608615,0.00034441781,0.4409294,0.00034259798,0.00069390977,0.023090886,0.000094366194,0.00022668314,0.008191605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978693,0.00002554511,0.0007678679,0.0004966973,0.00024890245,0.000591701],"domain_scores_gemma":[0.99668187,0.00053205254,0.0009165495,0.001502303,0.00029134424,0.00007590403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064144033,0.0002886945,0.00031319962,0.000031318235,0.0007186227,0.00008377934,0.0008218773,0.00016333995,0.0000052709297],"category_scores_gemma":[0.0018189575,0.00018966946,0.0002099799,0.00019525319,0.00035471414,0.00008304809,0.00027583865,0.00039976378,0.0000035873877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030558987,0.00061842677,0.01875392,0.0014234171,0.0002273316,0.0000027206515,0.00084838795,0.000284835,0.8784276,0.079823725,0.01463426,0.0046497695],"study_design_scores_gemma":[0.00045406222,0.000083735315,0.000090503985,0.00006169767,0.000028911756,0.000025440751,0.00008872984,0.0010010508,0.6914766,0.020414175,0.2861649,0.0001101886],"about_ca_topic_score_codex":0.000100946345,"about_ca_topic_score_gemma":0.000058921625,"teacher_disagreement_score":0.27153066,"about_ca_system_score_codex":0.00012356897,"about_ca_system_score_gemma":0.0002661121,"threshold_uncertainty_score":0.7734496},"labels":[],"label_agreement":null},{"id":"W2032376737","doi":"10.1038/clpt.2008.18","title":"Mass Spectrometry–Based Proteomics: A Useful Tool for Biomarker Discovery?","year":2008,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biomarker discovery; False positive paradox; Biomarker; Proteomics; Computational biology; Mass spectrometry; False positives and false negatives; Drug discovery; Computer science; Bioinformatics; Chemistry; Biology; Chromatography; Artificial intelligence","score_opus":0.10526921454691712,"score_gpt":0.41547543097784956,"score_spread":0.31020621643093244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032376737","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40500447,0.00012825207,0.5889933,0.0037036142,0.00023864668,0.0010120304,0.00017641875,0.00029985528,0.0004433904],"genre_scores_gemma":[0.43239212,0.0008956997,0.53797305,0.023944093,0.00094393664,0.0019047742,0.00009755404,0.00012806396,0.0017207221],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99798054,0.000054036424,0.0007519872,0.000598354,0.00012859976,0.00048647754],"domain_scores_gemma":[0.99814427,0.0008223723,0.00030692483,0.0004919871,0.000120813005,0.000113647155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030141565,0.00028522284,0.00042900466,0.00005897173,0.00027219264,0.000023506658,0.00050688675,0.00038074373,0.0003554423],"category_scores_gemma":[0.000028526429,0.00027066786,0.00038814166,0.00018320112,0.00053978694,0.000115733375,0.000067627276,0.0005451076,0.000029617375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074715336,0.0006891193,0.009420817,0.000045520956,0.00034083522,0.000010481403,0.000013661364,0.00002867599,0.9831325,0.00018854189,0.004775673,0.000607057],"study_design_scores_gemma":[0.0045368588,0.0002406611,0.0006643988,0.000017323171,0.00047346792,0.000018971998,0.000010626255,0.0065863915,0.87371236,0.006873494,0.106213704,0.0006517624],"about_ca_topic_score_codex":9.570358e-7,"about_ca_topic_score_gemma":2.3540356e-7,"teacher_disagreement_score":0.10942012,"about_ca_system_score_codex":0.00010443407,"about_ca_system_score_gemma":0.00018356644,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W2032643022","doi":"10.1021/pr0701658","title":"Proteomic Analysis of Human Cervico-Vaginal Fluid","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Proteases; Proteome; Kallikrein; Proteomics; Biology; Chemistry; Biochemistry; Enzyme; Gene","score_opus":0.06362807524352372,"score_gpt":0.43885288338086886,"score_spread":0.37522480813734516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032643022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96848077,0.00011675073,0.025076104,0.00027407345,0.000008929084,0.00039772963,0.000016391858,0.000022550645,0.0056067193],"genre_scores_gemma":[0.95880216,0.00006116858,0.04015628,0.000006758099,0.00021841853,0.000058162175,0.000006695131,0.00002714621,0.0006632173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99712557,0.000055743058,0.0010057983,0.00022325327,0.0010878205,0.00050184247],"domain_scores_gemma":[0.997209,0.00012430875,0.0006095238,0.00052983325,0.0013094875,0.00021781637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041637835,0.0001432366,0.00048749795,0.0012681043,0.00020769697,0.000037651847,0.0007865032,0.0001633808,0.00080175535],"category_scores_gemma":[0.000166488,0.0001249554,0.00032196476,0.0018536386,0.00023470205,0.00016121728,0.00015708763,0.0010994336,0.0000069928255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001390454,0.00019180829,0.0040821154,0.0001228863,0.0003127486,0.00002261562,0.000110859655,0.000034035962,0.99172693,0.0016844299,0.00010223013,0.0014702613],"study_design_scores_gemma":[0.0003819256,0.00022199399,0.0024196482,0.00009821677,0.0001307947,0.000027299096,0.00013357746,0.0001287786,0.988323,0.0068870136,0.0011194855,0.00012826412],"about_ca_topic_score_codex":0.00006437126,"about_ca_topic_score_gemma":0.000009189601,"teacher_disagreement_score":0.015080175,"about_ca_system_score_codex":0.00026067998,"about_ca_system_score_gemma":0.00016708896,"threshold_uncertainty_score":0.8778659},"labels":[],"label_agreement":null},{"id":"W2032853611","doi":"10.1021/pr200824a","title":"Standard Guidelines for the Chromosome-Centric Human Proteome Project","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"National Cancer Institute; National Institutes of Health","keywords":"Human proteome project; Proteome; Human Protein Atlas; Transparency (behavior); Computational biology; Biology; Knowledge management; Computer science; Bioinformatics; Genetics; Proteomics; Gene; Protein expression","score_opus":0.2642133697136356,"score_gpt":0.5149481976318642,"score_spread":0.25073482791822854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032853611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5478509,0.015644994,0.36209655,0.036384754,0.00044107146,0.027889831,0.0005333204,0.00039664473,0.00876195],"genre_scores_gemma":[0.58067876,0.0014024841,0.39332658,0.000117820004,0.00872727,0.008668302,0.00001694573,0.00020202328,0.006859831],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99707186,0.00006895012,0.0008184205,0.00018686811,0.0010662251,0.00078764686],"domain_scores_gemma":[0.9955874,0.00033367224,0.00048090875,0.0005086987,0.00290785,0.00018148706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004986417,0.00017662132,0.00031018522,0.0002570818,0.0007405955,0.000114512186,0.0008910283,0.00014656299,0.00023859643],"category_scores_gemma":[0.0013829119,0.00011004671,0.00022330711,0.00058135786,0.00019302867,0.00032335226,0.00019396307,0.0010457066,0.000008485248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035255152,0.0002878241,0.000618265,0.00045122864,0.00011918601,0.0000046989076,0.00026157754,0.000014635197,0.95735997,0.0038099333,0.028993191,0.0077269105],"study_design_scores_gemma":[0.0009518851,0.00035932014,0.000043296048,0.00021402136,0.000030701463,0.00011165312,0.00035550477,0.000090419046,0.5922039,0.008411029,0.3970277,0.00020053248],"about_ca_topic_score_codex":0.000018133187,"about_ca_topic_score_gemma":0.0000014357471,"teacher_disagreement_score":0.3680345,"about_ca_system_score_codex":0.00036241612,"about_ca_system_score_gemma":0.00039295643,"threshold_uncertainty_score":0.5696137},"labels":[],"label_agreement":null},{"id":"W2033324676","doi":"10.1016/j.jprot.2014.06.014","title":"14N15N DXMSMS Match program for the automated analysis of LC/ESI-MS/MS crosslinking data from experiments using 15N metabolically labeled proteins","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Chromatography; Chemistry","score_opus":0.05619498804928776,"score_gpt":0.38601592959662673,"score_spread":0.329820941547339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033324676","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51750356,0.00015097127,0.4806297,0.00017075709,0.0000330673,0.001065329,0.00029294027,0.00011342809,0.000040209325],"genre_scores_gemma":[0.29942757,0.000040045223,0.6997698,0.00004158353,0.00025396235,0.00027819784,0.00011238462,0.000047543985,0.000028919801],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975903,0.000046584042,0.001233185,0.00037645348,0.00041307113,0.00034041668],"domain_scores_gemma":[0.9959286,0.00021417637,0.0019503722,0.0012814575,0.0005120627,0.00011335331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009181913,0.00027124176,0.0007680104,0.00013968853,0.0002738804,0.00015668948,0.0015468618,0.00021713968,0.00007663607],"category_scores_gemma":[0.00029973182,0.00020017185,0.00033903515,0.0005327623,0.00013447493,0.0002816816,0.00033301377,0.00041766,8.1540287e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019551415,0.00035241575,0.0006762762,0.000056234992,0.0013943695,0.0000010488748,0.00015152757,0.002032745,0.991949,0.00028597802,0.000080819766,0.0028240506],"study_design_scores_gemma":[0.00083561114,0.00006874816,0.00016524302,0.00010070633,0.0013965858,0.000007564518,0.000054940214,0.37355036,0.6186523,0.0018926732,0.003062508,0.00021279347],"about_ca_topic_score_codex":0.00015584753,"about_ca_topic_score_gemma":0.000023450646,"teacher_disagreement_score":0.37329677,"about_ca_system_score_codex":0.00010898914,"about_ca_system_score_gemma":0.00015855955,"threshold_uncertainty_score":0.81627715},"labels":[],"label_agreement":null},{"id":"W2033571031","doi":"10.1016/j.jprot.2009.08.004","title":"Tandem mass spectrometry of human tryptic blood peptides calculated by a statistical algorithm and captured by a relational database with exploration by a general statistical analysis system","year":2009,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Toronto Metropolitan University","funders":"","keywords":"Tandem mass spectrometry; Database; Database search engine; Tandem; Chemistry; Peptide; Computational biology; Mass spectrometry; Bioinformatics; Biology; Computer science; Biochemistry; Chromatography; Information retrieval; Search engine","score_opus":0.009581654518788422,"score_gpt":0.26323983279414526,"score_spread":0.25365817827535686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033571031","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19218507,0.00016399479,0.8054264,0.00010590538,0.0000029665707,0.00020478765,0.0018530047,0.000021052227,0.000036776964],"genre_scores_gemma":[0.40296283,0.00003848488,0.5962138,0.000013248102,0.00004361966,0.000019882382,0.00064424926,0.000016079286,0.000047788202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998216,0.00004520335,0.00081656454,0.00027505352,0.00043028028,0.00021689823],"domain_scores_gemma":[0.99855524,0.00007404676,0.0007951223,0.00019045186,0.00019415085,0.00019097832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024292758,0.00021922009,0.00051965896,0.00013251544,0.0001201236,0.000049477345,0.00014308523,0.00014591924,0.000041764408],"category_scores_gemma":[0.000043911277,0.00018910517,0.000071427115,0.00032872357,0.00011274218,0.00023453386,0.000018079367,0.00043881708,2.8359415e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100036195,0.00025198367,0.00046364832,0.00005423877,0.00041662698,0.000020812256,0.00003947944,0.00014794905,0.9909989,0.0064020925,0.0009667784,0.0001374601],"study_design_scores_gemma":[0.0043370454,0.0012399019,0.00037007968,0.00025966443,0.003109175,0.00036286114,0.00035359536,0.048671853,0.93033147,0.010054333,0.00013082358,0.0007791755],"about_ca_topic_score_codex":0.000025674353,"about_ca_topic_score_gemma":0.0000012547351,"teacher_disagreement_score":0.21077774,"about_ca_system_score_codex":0.00015010717,"about_ca_system_score_gemma":0.0000767712,"threshold_uncertainty_score":0.77114844},"labels":[],"label_agreement":null},{"id":"W2033890913","doi":"10.1016/j.jchromb.2008.01.052","title":"Quantitative 2-D gel electrophoresis-based expression proteomics of albumin and IgG immunodepleted plasma","year":2008,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Institute for Marine Biosciences; Children’s Health Research Institute","funders":"","keywords":"Chemistry; Albumin; Proteomics; Chromatography; Blood proteins; Two-dimensional gel electrophoresis; Spots; Gel electrophoresis; Molecular biology; Biochemistry; Biology; Gene","score_opus":0.012914966120886412,"score_gpt":0.25344332317988144,"score_spread":0.24052835705899503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033890913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98117894,0.00078271114,0.017566497,0.000055292476,0.000009880558,0.00013325494,0.000025417423,0.000026346237,0.00022164527],"genre_scores_gemma":[0.7845384,0.0006931993,0.2146804,0.00001280041,0.000019977002,0.00002186216,0.0000039520487,0.000020659962,0.000008786385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888647,0.000019440395,0.00056396256,0.00013940244,0.00022533516,0.00016536715],"domain_scores_gemma":[0.99853534,0.00009439442,0.0008516781,0.00022268275,0.00021766557,0.00007821996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010643117,0.0001565697,0.00033538425,0.00019617128,0.00011727767,0.000009925491,0.00021233404,0.000113165035,0.00002849641],"category_scores_gemma":[0.000039160874,0.00013461254,0.00020028211,0.00024085885,0.00020962291,0.00011744261,0.000027048145,0.0002859453,3.6178176e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033456384,0.00013105075,0.0026406257,0.0000737897,0.00004384333,0.0000111346135,0.000089944915,0.000031276853,0.99602664,0.0002980434,0.00021968568,0.00009943257],"study_design_scores_gemma":[0.0008713941,0.00023441618,0.0006544075,0.00021674346,0.000025433808,0.00016120226,0.00006113467,0.00040805052,0.99557155,0.0012466164,0.00041131215,0.0001377266],"about_ca_topic_score_codex":0.000008428945,"about_ca_topic_score_gemma":7.5031573e-7,"teacher_disagreement_score":0.1971139,"about_ca_system_score_codex":0.000022506243,"about_ca_system_score_gemma":0.000088725785,"threshold_uncertainty_score":0.548934},"labels":[],"label_agreement":null},{"id":"W2034311234","doi":"10.1021/pr900318k","title":"Peptide Separations by On-Line MudPIT Compared to Isoelectric Focusing in an Off-Gel Format: Application to a Membrane-Enriched Fraction from C2C12 Mouse Skeletal Muscle Cells","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Peptide; Isoelectric focusing; Chromatography; Fractionation; Fraction (chemistry); Proteomics; High resolution; Chemistry; Biochemistry; Biology; Enzyme","score_opus":0.04483765189915111,"score_gpt":0.393276677736147,"score_spread":0.3484390258369959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034311234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8118331,0.000050315608,0.1849155,0.0015342078,0.000007586983,0.0011856633,0.00006982595,0.00004805905,0.00035573042],"genre_scores_gemma":[0.95095533,0.00007679282,0.047876313,0.00014008711,0.00026581492,0.0003800916,0.0000612631,0.00003381983,0.00021047931],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99749154,0.000092669194,0.00077048707,0.00036593838,0.0007771525,0.0005022042],"domain_scores_gemma":[0.99809545,0.00014456832,0.00031202688,0.0005106095,0.00056131056,0.0003760539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872351,0.00019815745,0.0003441555,0.0005964687,0.0002628952,0.00013689659,0.00054895884,0.0001635426,0.00007815152],"category_scores_gemma":[0.00012779611,0.00019803108,0.00009152495,0.0011141804,0.000027413202,0.00051265914,0.000057222573,0.0011538761,0.00004895818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021900232,0.00057693775,0.000018951443,0.00001498945,0.000008294686,0.0000032318155,0.00023085404,0.003894515,0.9819858,0.000055023724,0.00096946384,0.0120229395],"study_design_scores_gemma":[0.0007338726,0.00064820127,0.00021159158,0.00007572966,0.000008706781,0.0000057077036,0.00019643156,0.011958141,0.9741023,0.0028478266,0.008957515,0.00025395982],"about_ca_topic_score_codex":0.00014047486,"about_ca_topic_score_gemma":0.000047704656,"teacher_disagreement_score":0.13912222,"about_ca_system_score_codex":0.0006674307,"about_ca_system_score_gemma":0.0001388393,"threshold_uncertainty_score":0.8075473},"labels":[],"label_agreement":null},{"id":"W2034329035","doi":"10.1016/s0003-2697(02)00321-4","title":"Sequencing of rat liver cytosolic proteins by matrix-assisted laser desorption ionization–quadrupole time-of-flight mass spectrometry following electrophoretic separation and extraction","year":2002,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Mass spectrometry; Chromatography; Chemistry; Protein mass spectrometry; Ammonium bicarbonate; Extraction (chemistry); Sample preparation in mass spectrometry; Matrix-assisted laser desorption/ionization; Time-of-flight mass spectrometry; Peptide sequence; Electrophoresis; Matrix (chemical analysis); Gel electrophoresis; Tandem mass spectrometry; Biochemistry; Desorption; Ionization; Electrospray ionization","score_opus":0.010175171612367463,"score_gpt":0.26903700142365267,"score_spread":0.2588618298112852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034329035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485265,0.00059031934,0.048947357,0.00008171367,0.000007104268,0.0001749094,0.00002519394,0.00008484438,0.0015620708],"genre_scores_gemma":[0.9788583,0.00022239583,0.01847631,0.000011471598,0.000048036196,0.000041730113,0.00013926339,0.000025371985,0.002177147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987327,0.000014157097,0.00044165042,0.0003582462,0.0002297605,0.0002235276],"domain_scores_gemma":[0.9991775,0.000058470287,0.00026240983,0.00031147938,0.00009552907,0.00009459532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008562042,0.00019120768,0.00026188095,0.00006148414,0.00009654364,0.000027064689,0.00012151007,0.0002450433,0.00054307526],"category_scores_gemma":[0.00007978031,0.00020313333,0.00011890061,0.00041864844,0.00010221407,0.00011430992,0.000029602848,0.00021369511,0.00001183806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016569931,0.00008280049,0.00022228142,0.00013778226,0.000039062692,0.0000025476902,0.00001859539,0.000015299387,0.9988586,0.00012212888,0.0002453979,0.00023897536],"study_design_scores_gemma":[0.00022470369,0.000031647396,0.000009575085,0.00007193315,0.0001024032,0.000018840734,0.000027832999,0.02306682,0.97581846,0.00035726308,0.000077394245,0.00019311487],"about_ca_topic_score_codex":0.000011185113,"about_ca_topic_score_gemma":3.0873298e-7,"teacher_disagreement_score":0.030471047,"about_ca_system_score_codex":0.00020025209,"about_ca_system_score_gemma":0.000030418569,"threshold_uncertainty_score":0.8283537},"labels":[],"label_agreement":null},{"id":"W2034802515","doi":"10.1021/pr050290o","title":"Strategy to Design Improved Proteomic Experiments Based on Statistical Analyses of the Chemical Properties of Identified Peptides","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computational biology; Chemistry; Proteomics; Computer science; Biochemistry; Biology","score_opus":0.21306457508527274,"score_gpt":0.4551986938438172,"score_spread":0.2421341187585445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034802515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95038337,0.00009273426,0.0473359,0.00048228656,0.000008013831,0.0013996789,0.000026166153,0.0000123839045,0.00025949025],"genre_scores_gemma":[0.8883792,0.000007687439,0.111022346,0.00001076768,0.000060067036,0.00031796252,8.2428244e-7,0.000023485887,0.00017762017],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975201,0.00015546866,0.00083269755,0.00021710378,0.0009470172,0.00032763823],"domain_scores_gemma":[0.9979926,0.00015118589,0.00043850497,0.0004884332,0.0008026401,0.00012663391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012189044,0.00015291129,0.0003550626,0.0002005416,0.000100970006,0.000040860505,0.0007682787,0.000108719425,0.00013327115],"category_scores_gemma":[0.00069275784,0.00009748674,0.00014288408,0.00036273984,0.00028698432,0.00010630632,0.00013653073,0.0006805249,0.0000038584512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007626288,0.0003606079,0.000027496775,0.00015902294,0.00003495292,0.0000012447911,0.000072779905,0.0012964334,0.9955463,0.00012149342,0.00011833652,0.0014987286],"study_design_scores_gemma":[0.00046450057,0.0003556956,0.000038137146,0.00038807312,0.000014057483,0.000005361966,0.000103255006,0.0037505964,0.99376893,0.0009772035,0.000039000686,0.00009521047],"about_ca_topic_score_codex":0.000030803192,"about_ca_topic_score_gemma":6.015428e-7,"teacher_disagreement_score":0.063686445,"about_ca_system_score_codex":0.00020368461,"about_ca_system_score_gemma":0.00044095452,"threshold_uncertainty_score":0.3975394},"labels":[],"label_agreement":null},{"id":"W2035037428","doi":"10.1021/pr034086h","title":"Mass Spectrometric Quantitation of Peptides and Proteins Using Stable Isotope Standards and Capture by Anti-Peptide Antibodies (SISCAPA)","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":801,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Peptide; Chemistry; Chromatography; Mass spectrometry; Polyclonal antibodies; Elution; Bottom-up proteomics; Electrospray ionization; Peptide sequence; Protein mass spectrometry; Antibody; Biochemistry; Biology","score_opus":0.04178906183756321,"score_gpt":0.3771105128330622,"score_spread":0.335321450995499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035037428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94743955,0.0025033331,0.0485165,0.00036159487,0.00000593861,0.0005409282,0.00009452031,0.000013799672,0.000523849],"genre_scores_gemma":[0.8229483,0.0014627232,0.17536889,0.000002325231,0.000043150372,0.000024667906,0.0000028499044,0.00002464844,0.00012243299],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99798596,0.00004776173,0.0005072934,0.00022086871,0.0008952438,0.0003428501],"domain_scores_gemma":[0.99806255,0.00008472197,0.00041923946,0.00020101655,0.0010991164,0.00013333448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015399536,0.00014823093,0.00036460115,0.0004775484,0.0002319809,0.00010963904,0.00020642177,0.00012356363,0.000033828346],"category_scores_gemma":[0.00044595986,0.00012723333,0.000059144983,0.0006017015,0.00029576969,0.00040464752,0.00009652342,0.00074816094,3.4625643e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006995718,0.000077892255,0.0035302667,0.0003913964,0.000037566668,0.000008631606,0.00014259071,0.0000571264,0.99421775,0.0012067152,0.00006413614,0.00019595039],"study_design_scores_gemma":[0.0007228612,0.00028265573,0.00045350177,0.00050431455,0.000019042649,0.00008953977,0.0007330211,0.0000929486,0.97763187,0.018742379,0.000575117,0.00015277637],"about_ca_topic_score_codex":0.00027306838,"about_ca_topic_score_gemma":0.000012924319,"teacher_disagreement_score":0.1268524,"about_ca_system_score_codex":0.0002698312,"about_ca_system_score_gemma":0.00032986962,"threshold_uncertainty_score":0.51884246},"labels":[],"label_agreement":null},{"id":"W2035124181","doi":"10.1021/ac026127j","title":"Abundance Ratio-Dependent Proteomic Analysis by Mass Spectrometry","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Proteomics; Mass spectrometry; Quantitative proteomics; Tandem mass spectrometry; Tandem mass tag; Chromatography; Computational biology; Bottom-up proteomics; Isobaric labeling; Protein mass spectrometry; Biochemistry","score_opus":0.007476575652583742,"score_gpt":0.26231635538904047,"score_spread":0.2548397797364567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035124181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33425626,0.0002274276,0.4960825,0.0003266675,0.000009452626,0.00019025014,0.00014619784,0.00036457926,0.16839664],"genre_scores_gemma":[0.95339626,0.00006350367,0.02496891,0.000072774834,0.00006863474,0.00016960343,0.00013583219,0.000036749647,0.021087708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981646,0.000010313681,0.00042329624,0.00064647093,0.0003131737,0.00044212345],"domain_scores_gemma":[0.9986834,0.0000527222,0.0001553261,0.00080461125,0.0000721976,0.00023172426],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014273879,0.00027631514,0.00037800096,0.00004218145,0.0001395655,0.000072845054,0.00036232552,0.00023667622,0.0059283203],"category_scores_gemma":[0.000121419354,0.000287418,0.0002711472,0.00072129635,0.00012371897,0.000079833924,0.000039629645,0.00046884938,0.000053510164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008987628,0.000109007306,0.0032171647,0.000054135642,0.00027141473,0.0000057722777,0.0000041729877,0.0000650907,0.9929774,0.0024099972,0.00083386287,0.00004303941],"study_design_scores_gemma":[0.00021318278,0.000004945997,0.000011279296,0.00000810444,0.00030150166,0.00000771503,0.000027582088,0.00197375,0.988668,0.0046660914,0.0037738597,0.00034394916],"about_ca_topic_score_codex":0.000009770329,"about_ca_topic_score_gemma":5.9816165e-7,"teacher_disagreement_score":0.61914,"about_ca_system_score_codex":0.00021544256,"about_ca_system_score_gemma":0.00005802416,"threshold_uncertainty_score":0.9999578},"labels":[],"label_agreement":null},{"id":"W2035153282","doi":"10.1021/pr301064z","title":"From Cells to Peptides: “One-Stop” Integrated Proteomic Processing Using Amphipols","year":2013,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Chaotropic agent; Proteome; Chromatography; Lysis; Chemistry; Digestion (alchemy); Lysis buffer; Ultrafiltration (renal); Protein purification; Proteomics; Centrifugation; Mass spectrometry; Tandem mass spectrometry; Sample preparation; Trypsin; Membrane protein; Biochemistry; Membrane; Enzyme","score_opus":0.09491084506461978,"score_gpt":0.40036288248111424,"score_spread":0.30545203741649446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035153282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307637,0.000105951935,0.06584356,0.0010551605,0.0000209769,0.0015479239,0.0000246354,0.000057446978,0.0005806214],"genre_scores_gemma":[0.56287146,0.000030182666,0.43527922,0.00003375974,0.00058449723,0.0005064259,0.000003892106,0.00006244661,0.0006281244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971003,0.00009466722,0.0008385983,0.00036681688,0.0009383177,0.00066132954],"domain_scores_gemma":[0.99676377,0.00011222727,0.00046027952,0.00048084327,0.0017631095,0.00041975852],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010520745,0.00022801547,0.00041448625,0.0004139333,0.0003147731,0.0003371909,0.0009072146,0.00021172041,0.0010236504],"category_scores_gemma":[0.0003095895,0.00019564334,0.00013197806,0.00076171086,0.00015363989,0.00054445653,0.00024351035,0.0016151766,0.00015057641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006835285,0.00012581721,0.000096971184,0.00010588204,0.000025037512,0.000007730125,0.00033889787,0.000094806644,0.9909274,0.00002143938,0.00052450626,0.00766314],"study_design_scores_gemma":[0.00033930622,0.000113506,0.00003846961,0.0009263996,0.0000119615615,0.000024602372,0.00068364677,0.0014876124,0.9811639,0.012629426,0.0023492973,0.00023187927],"about_ca_topic_score_codex":0.00069652003,"about_ca_topic_score_gemma":0.0000027323965,"teacher_disagreement_score":0.36943564,"about_ca_system_score_codex":0.0005884579,"about_ca_system_score_gemma":0.0005349899,"threshold_uncertainty_score":0.99988955},"labels":[],"label_agreement":null},{"id":"W2035503247","doi":"10.1021/ac026196y","title":"Quantitative Chemical Proteomics for Identifying Candidate Drug Targets","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":190,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Proteomics; Surface plasmon resonance; Computational biology; Small molecule; Mass spectrometry; Drug discovery; Quantitative proteomics; Affinity chromatography; Chromatography; Multiplex; Chemical biology; Biochemistry; Combinatorial chemistry; Nanotechnology; Enzyme; Bioinformatics","score_opus":0.02674483617322587,"score_gpt":0.3305182218629255,"score_spread":0.30377338568969964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035503247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59128106,0.00030988024,0.34803343,0.0006928962,0.000031693882,0.0006897504,0.00028640465,0.00049029227,0.058184624],"genre_scores_gemma":[0.71820605,0.00003577967,0.27394077,0.00011224441,0.00012478307,0.00076170533,0.00021361125,0.000074228315,0.0065308465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99855614,0.000005237656,0.00036191894,0.0004989825,0.00015871902,0.0004190149],"domain_scores_gemma":[0.9989989,0.00013846913,0.00012955049,0.00041930706,0.00012607755,0.0001877304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014870803,0.0002325406,0.0002706216,0.000014150175,0.00014327819,0.000051077994,0.00026496113,0.00017140663,0.0005082341],"category_scores_gemma":[0.00031955997,0.0002413385,0.00018214376,0.00013020472,0.00013655465,0.00008112633,0.00005312197,0.00031884952,0.000015717294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048968315,0.000102725935,0.00012572689,0.00029360678,0.000055020308,0.000003426039,0.00003910653,0.000013119183,0.97323436,0.024161775,0.001830501,0.000091691974],"study_design_scores_gemma":[0.00034539987,0.0000038661897,4.711183e-7,0.000035222012,0.000047362453,0.00001360929,0.00008292668,0.0027738116,0.9575093,0.027986558,0.010902405,0.0002990649],"about_ca_topic_score_codex":0.000009796721,"about_ca_topic_score_gemma":7.448521e-7,"teacher_disagreement_score":0.12692499,"about_ca_system_score_codex":0.00012786394,"about_ca_system_score_gemma":0.00007835928,"threshold_uncertainty_score":0.9841498},"labels":[],"label_agreement":null},{"id":"W2035820679","doi":"10.1586/epr.10.95","title":"A synopsis of the 3rd annual Cancer Proteomics Conference","year":2010,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proteomics; Biomarker discovery; Data science; Proteogenomics; Library science; Computer science; Biology; Genomics","score_opus":0.012840230115662599,"score_gpt":0.32701649256516957,"score_spread":0.31417626244950697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035820679","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73439515,0.0615745,0.13764036,0.019937776,0.00091954495,0.01733577,0.0031007181,0.00059460563,0.024501566],"genre_scores_gemma":[0.09377452,0.06771382,0.8303456,0.00087349466,0.00032976485,0.0056681144,0.000022868518,0.00008533882,0.0011864898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853843,0.000021086296,0.00066921447,0.00030675877,0.00024299638,0.00022152094],"domain_scores_gemma":[0.9977011,0.000034786535,0.00071858236,0.0010778294,0.0003994647,0.00006822077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022830008,0.00022622124,0.00047781036,0.000021375667,0.00008878345,0.000008676773,0.0008828564,0.00016773619,0.00059430435],"category_scores_gemma":[0.00023031501,0.00016181657,0.0002297949,0.00020858581,0.00028883596,0.00009396042,0.000239733,0.0005099054,0.0000029296154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013663137,0.00007359504,0.00020057154,0.0022468455,0.000018584833,1.6449711e-7,0.00013995083,0.0000010755978,0.9876087,0.004987645,0.001165811,0.0035434216],"study_design_scores_gemma":[0.00013780787,0.000014889693,0.000017776812,0.0034494305,0.000023171124,0.0000073163974,0.000033570544,0.00006521625,0.96673447,0.0015508718,0.027770473,0.00019499761],"about_ca_topic_score_codex":0.00011738579,"about_ca_topic_score_gemma":0.000026888521,"teacher_disagreement_score":0.6927052,"about_ca_system_score_codex":0.00004126608,"about_ca_system_score_gemma":0.00025071547,"threshold_uncertainty_score":0.6598688},"labels":[],"label_agreement":null},{"id":"W2035901782","doi":"10.1074/mcp.m100022-mcp200","title":"Application of Microfluidic Devices to Proteomics Research","year":2002,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Institute for Biological Sciences","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteomics; Microfluidics; Computer science; Computational biology; Nanotechnology; Chemistry; Data science; Biology; Materials science; Biochemistry","score_opus":0.02714834231446357,"score_gpt":0.30043954812715085,"score_spread":0.2732912058126873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035901782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.494311,0.00075032393,0.50024235,0.00040716506,0.000009685771,0.0015779182,0.000031693675,0.00012616494,0.0025436622],"genre_scores_gemma":[0.6921079,0.00013791557,0.304796,0.00010810082,0.000071780356,0.002185309,0.000046099547,0.0000945555,0.0004522994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99754024,0.000058985723,0.0006017365,0.0007156197,0.0005018963,0.00058152876],"domain_scores_gemma":[0.99780804,0.000034974342,0.00022593857,0.0013291984,0.00038833095,0.00021353256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004944205,0.00028776636,0.00032935207,0.0002134604,0.0002250381,0.000054652137,0.0008727521,0.00028594528,0.00016143011],"category_scores_gemma":[0.0000929797,0.00032413346,0.00014881883,0.0007200646,0.0001722847,0.00008701636,0.00032807572,0.00056440296,0.00018212767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021180747,0.00017215025,0.00019863396,0.00016305922,0.000020723919,0.0000061425767,0.0001266023,0.00007652317,0.9904247,0.006092395,0.00026669863,0.0024311938],"study_design_scores_gemma":[0.00023959187,0.000054457978,0.000004683336,0.00005898296,0.0000168027,0.000007520426,0.000045962828,0.0025081674,0.9724795,0.004056368,0.020208316,0.0003196183],"about_ca_topic_score_codex":0.000079012854,"about_ca_topic_score_gemma":0.0000025269678,"teacher_disagreement_score":0.19779691,"about_ca_system_score_codex":0.00017601039,"about_ca_system_score_gemma":0.000041562223,"threshold_uncertainty_score":0.9999211},"labels":[],"label_agreement":null},{"id":"W2036229784","doi":"10.1002/rcm.1022","title":"On‐column digestion of proteins in aqueous‐organic solvents","year":2003,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Myoglobin; Chromatography; Trypsin; Mass spectrometry; Aqueous solution; Peptide; Matrix-assisted laser desorption/ionization; Acetonitrile; Proteolysis; Tandem mass spectrometry; Desorption; Biochemistry; Organic chemistry; Enzyme","score_opus":0.01717979155884415,"score_gpt":0.2865079904632061,"score_spread":0.26932819890436194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036229784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7927689,0.0020002108,0.04870299,0.0010625568,0.0000313808,0.0013203506,0.00005130308,0.00027465896,0.15378764],"genre_scores_gemma":[0.83469296,0.0010699778,0.16351947,0.000019783236,0.000006123503,0.00045880795,0.000029731915,0.000027550695,0.000175566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873644,0.000079277095,0.00050551305,0.00026201247,0.00016212945,0.00025465077],"domain_scores_gemma":[0.9973548,0.00020768301,0.00021673855,0.0021343697,0.000043848406,0.00004257185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003034206,0.0001565692,0.00024104114,0.0003442159,0.00009310014,0.000014404727,0.00088385615,0.00014724182,0.0005169323],"category_scores_gemma":[0.00024982978,0.00018689934,0.00006512408,0.0010502202,0.0001203628,0.000081176484,0.000109189124,0.0006171958,0.000015738651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019879308,0.0011503332,0.010771998,0.000055689146,0.000016946791,0.000001229476,0.00010098241,0.00008334952,0.7139722,0.2716212,0.000026244361,0.0021799554],"study_design_scores_gemma":[0.0009499499,0.00009480707,0.0019290573,0.00026974807,0.000011661331,0.00000796081,0.00021390496,0.0007186787,0.7540151,0.23861931,0.0027729413,0.00039687013],"about_ca_topic_score_codex":0.000034553446,"about_ca_topic_score_gemma":0.00007159335,"teacher_disagreement_score":0.15361208,"about_ca_system_score_codex":0.00037135024,"about_ca_system_score_gemma":0.00006676072,"threshold_uncertainty_score":0.7621534},"labels":[],"label_agreement":null},{"id":"W2036700390","doi":"10.1016/j.jprot.2013.02.001","title":"Optimized proteomic analysis of rat liver microsomes using dual enzyme digestion with 2D-LC–MS/MS","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Trypsin; Proteome; Digestion (alchemy); Chemistry; Chromatography; Pepsin; Proteomics; Mass spectrometry; Tandem mass spectrometry; Proteolysis; Biochemistry; Microsome; Enzyme","score_opus":0.014266950833875136,"score_gpt":0.2621574084040881,"score_spread":0.24789045757021294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036700390","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7527381,0.00008968365,0.24632126,0.000113020535,0.000019332982,0.00057984865,0.000019608073,0.000027158003,0.00009196993],"genre_scores_gemma":[0.4141948,0.0001320228,0.5852477,0.000020388521,0.00011309119,0.00009094673,0.000011645912,0.000035850746,0.00015356758],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818426,0.000033185406,0.0009207949,0.00025199933,0.0003219591,0.0002878245],"domain_scores_gemma":[0.9970572,0.000056002584,0.0017067876,0.00041168518,0.0006278592,0.00014045979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025690303,0.00026968398,0.0007046522,0.0003215406,0.0001240366,0.00008181868,0.0003305014,0.0002014772,0.00036420717],"category_scores_gemma":[0.000057963658,0.00021562836,0.0003264385,0.0005331183,0.00015339429,0.0004609868,0.000081089835,0.0004931502,0.0000035659898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024262861,0.00014354482,0.001192406,0.00006715879,0.00048440546,0.000007757047,0.0001508553,0.018517276,0.9787875,0.000106402986,0.000057428286,0.0002426465],"study_design_scores_gemma":[0.0010548459,0.00011546324,0.00030808852,0.00017652151,0.00086170295,0.00013499986,0.000077688375,0.016810542,0.9794628,0.0006408389,0.00007309356,0.00028341272],"about_ca_topic_score_codex":0.00015522813,"about_ca_topic_score_gemma":0.0000042085217,"teacher_disagreement_score":0.33892643,"about_ca_system_score_codex":0.00022268733,"about_ca_system_score_gemma":0.00017933465,"threshold_uncertainty_score":0.879307},"labels":[],"label_agreement":null},{"id":"W2036817390","doi":"10.1002/pmic.201200369","title":"Integrative network analysis of signaling in human CD34<sup>+</sup> hematopoietic progenitor cells by global phosphoproteomic profiling using TiO<sub>2</sub> enrichment combined with 2D LC‐MS/MS and pathway mapping","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Phosphopeptide; Tandem mass spectrometry; CD34; Phosphoproteomics; Chemistry; Haematopoiesis; Progenitor cell; Cell biology; Biology; Computational biology; Mass spectrometry; Stem cell; Kinase; Biochemistry; Protein kinase A; Chromatography; Protein phosphorylation","score_opus":0.008302708181385664,"score_gpt":0.23382465413937634,"score_spread":0.22552194595799066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036817390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.906112,0.000167012,0.090556405,0.0000281161,0.000008721676,0.0028134377,0.000094982934,0.00012239082,0.00009692726],"genre_scores_gemma":[0.81165266,0.000031522315,0.18639918,0.000023615783,0.000049405393,0.0016590797,0.00011727358,0.000053797008,0.000013478325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99725336,0.000055874854,0.0009533493,0.0007915832,0.00030833742,0.00063747354],"domain_scores_gemma":[0.99829835,0.00006175085,0.0007131441,0.0005353284,0.0002256779,0.00016572291],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030555986,0.0005253475,0.0008538947,0.00014639249,0.00027469237,0.00011599771,0.0003452013,0.00027146956,0.000033915774],"category_scores_gemma":[0.00001960471,0.00048487258,0.00016768157,0.0012188666,0.00020733521,0.00023048841,0.0002031875,0.0004936697,0.0000022630238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007632981,0.00017926724,0.011582746,0.00021319708,0.00030905,0.0000024841277,0.00044953672,0.017031737,0.9693218,0.0005472928,0.000009853801,0.00027669195],"study_design_scores_gemma":[0.00070525706,0.00008912382,0.000041140534,0.00036103316,0.00019155986,0.000005090271,0.0005688211,0.0652533,0.9284621,0.003814736,0.000005770443,0.0005020841],"about_ca_topic_score_codex":0.00032281945,"about_ca_topic_score_gemma":0.000019379226,"teacher_disagreement_score":0.09584277,"about_ca_system_score_codex":0.00048834586,"about_ca_system_score_gemma":0.00011503478,"threshold_uncertainty_score":0.99976027},"labels":[],"label_agreement":null},{"id":"W2036835895","doi":"10.1021/ac0003293","title":"Techniques for the Optimization of Proteomic Strategies Based on Head Column Stacking Capillary Electrophoresis","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Proteomics; Mass spectrometry; Chromatography; Capillary electrophoresis; Capillary electrophoresis–mass spectrometry; Proteome; Stacking; Electrospray ionization; Computational biology; Biochemistry","score_opus":0.011575503351060848,"score_gpt":0.28421016076106664,"score_spread":0.2726346574100058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036835895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3437846,0.00023221251,0.56081927,0.0020696085,0.000007804664,0.0017891591,0.00026111252,0.0007673777,0.09026886],"genre_scores_gemma":[0.94825417,0.0001754281,0.049392566,0.000108784516,0.000111109286,0.0007261226,0.000101507416,0.000042206484,0.0010881163],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990219,0.0000051082156,0.00029535676,0.00028124906,0.0001634176,0.00023300857],"domain_scores_gemma":[0.99910337,0.00016702272,0.00010353131,0.00047854977,0.0000967315,0.00005081974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009491023,0.00016486851,0.00019234548,0.000013885046,0.00014425443,0.00004086364,0.00027843213,0.00016249706,0.0012057222],"category_scores_gemma":[0.00004334758,0.00013655139,0.00013158127,0.0001460662,0.00013781046,0.00004571391,0.000015545802,0.00020894427,0.0000012350838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006930475,0.0004275222,0.0001989668,0.000782352,0.00010931437,0.0000028786276,0.000025970741,0.07804082,0.90465075,0.0026022536,0.0015207971,0.010945315],"study_design_scores_gemma":[0.00015294453,0.000032168657,0.0000030690974,0.000059411977,0.000042843167,0.0000015207218,0.000025450185,0.17426264,0.8212767,0.0014284655,0.0025722065,0.00014253253],"about_ca_topic_score_codex":0.000022402444,"about_ca_topic_score_gemma":9.093448e-7,"teacher_disagreement_score":0.60446954,"about_ca_system_score_codex":0.00008000697,"about_ca_system_score_gemma":0.00010629353,"threshold_uncertainty_score":0.9997073},"labels":[],"label_agreement":null},{"id":"W2037031087","doi":"10.1385/cp:2:1:67","title":"Comparison of methods to examine the endogenous peptides of fetal calf serum","year":2006,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Chemistry; Peptide; Tandem mass spectrometry; Chromatography; Protein mass spectrometry; Blood proteins; Electrospray ionization; Matrix-assisted laser desorption/ionization; Peptide mass fingerprinting; Mass spectrometry; Protein precipitation; Biochemistry; Proteomics","score_opus":0.14167923617104658,"score_gpt":0.4679738209638203,"score_spread":0.32629458479277373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037031087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6933592,0.00010031963,0.30196917,0.00026212356,0.000028329368,0.00060487585,0.000075680444,0.000060202707,0.0035400847],"genre_scores_gemma":[0.56320435,0.000012980184,0.43632647,0.000032260363,0.00009815885,0.00011070562,0.000009158972,0.000017207207,0.00018871686],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980842,0.000069388814,0.0012247221,0.00029129232,0.000118892945,0.00021151108],"domain_scores_gemma":[0.9978913,0.00066315656,0.00052465114,0.0007177958,0.00013247353,0.000070592105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075029006,0.00015371243,0.0005095673,0.000023306655,0.000082244005,0.000008743084,0.00050303515,0.00018620492,0.00005412212],"category_scores_gemma":[0.00036913741,0.00011807956,0.00020676434,0.00015601335,0.00029154544,0.000027988339,0.00020444632,0.00038731258,0.0000061726387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000970012,0.0006296358,0.03339679,0.00010972845,0.00003388821,5.636781e-7,0.00006483188,0.000549053,0.9378121,0.0034245192,0.00035054173,0.023531377],"study_design_scores_gemma":[0.00025517293,0.00011255449,0.0013341092,0.00003127863,0.000033786244,0.0000041749586,0.00006503889,0.0010024868,0.98487514,0.008783535,0.0033616235,0.0001410886],"about_ca_topic_score_codex":0.0000924139,"about_ca_topic_score_gemma":0.000012576029,"teacher_disagreement_score":0.1343573,"about_ca_system_score_codex":0.000027949585,"about_ca_system_score_gemma":0.000048106536,"threshold_uncertainty_score":0.48151448},"labels":[],"label_agreement":null},{"id":"W2037158541","doi":"10.1002/pmic.200401235","title":"Effective removal of albumin from serum","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Albumin; Chromatography; Serum albumin; Blood proteins; Extraction (chemistry); Chemistry; Biochemistry","score_opus":0.006691019041905154,"score_gpt":0.2555246527437348,"score_spread":0.24883363370182965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037158541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9028935,0.00013092216,0.08464936,0.0003069199,0.00001100293,0.00048175408,0.0001815847,0.0001494069,0.011195576],"genre_scores_gemma":[0.5115814,0.000029457718,0.48746005,0.000039926243,0.00016442196,0.00027027057,0.000021009515,0.000021233638,0.00041217468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999301,0.00000674567,0.00022052511,0.00022825807,0.00009028946,0.00015317762],"domain_scores_gemma":[0.99932986,0.000048815404,0.0001487975,0.00037678084,0.000048488182,0.00004726408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060063954,0.000120125085,0.00016555822,0.000020692773,0.00004754113,0.00000851862,0.00020794918,0.00011611318,0.00023457725],"category_scores_gemma":[0.000033369794,0.00012380624,0.000069035676,0.00006743207,0.000055131895,0.00007294913,0.000080389684,0.00018536558,0.000030644675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034931854,0.000061496205,0.000419881,0.000023589368,0.000017729599,0.000001658104,0.00008525667,0.000063466694,0.9557272,0.0022848828,0.000060253413,0.041219648],"study_design_scores_gemma":[0.00025741718,0.000010117717,0.000088697,0.000030572664,0.000010390699,0.000008564172,0.000015075469,0.0010293014,0.9700765,0.013448898,0.014892829,0.00013165365],"about_ca_topic_score_codex":0.000047643523,"about_ca_topic_score_gemma":0.000008003757,"teacher_disagreement_score":0.4028107,"about_ca_system_score_codex":0.000074399904,"about_ca_system_score_gemma":0.000021335345,"threshold_uncertainty_score":0.5048672},"labels":[],"label_agreement":null},{"id":"W2037179851","doi":"10.1002/rcm.1538","title":"The reproducible acquisition of comparative liquid chromatography/tandem mass spectrometry data from complex biological samples","year":2004,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada","funders":"","keywords":"Chemistry; Reproducibility; Chromatography; Tandem mass spectrometry; Coefficient of variation; Mass spectrometry; Analytical Chemistry (journal); Replicate; Elution","score_opus":0.11755939960518505,"score_gpt":0.36056234431090434,"score_spread":0.2430029447057193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037179851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7069959,0.014121346,0.24410932,0.0061869686,0.000068117464,0.0012135613,0.0020519483,0.00069823803,0.024554623],"genre_scores_gemma":[0.61886126,0.0064298115,0.37310907,0.000030072879,0.000059814607,0.00013971025,0.0013408313,0.000020415382,0.0000090228195],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973512,0.00014829043,0.00092542195,0.00083211955,0.0002989688,0.00044397553],"domain_scores_gemma":[0.98987806,0.0009481348,0.00055301434,0.008415022,0.00012238871,0.00008338924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007244043,0.00031469794,0.0005496032,0.00028419378,0.00058082066,0.00007546807,0.004520555,0.00020583517,0.0004539613],"category_scores_gemma":[0.00013771126,0.00027231363,0.00014726594,0.0017452213,0.00090395275,0.00021793351,0.001057323,0.0007627561,0.000019816292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008708774,0.00045078108,0.0046620118,0.000014805634,0.0001316559,8.942229e-7,0.000108290595,0.00006311373,0.92692083,0.067211404,0.00017184152,0.00017729845],"study_design_scores_gemma":[0.0014617136,0.00026325404,0.014348527,0.00019937978,0.00007076645,0.000015009858,0.002028693,0.00100878,0.6390865,0.33199668,0.008761593,0.0007591383],"about_ca_topic_score_codex":0.00019626971,"about_ca_topic_score_gemma":0.00009243726,"teacher_disagreement_score":0.28783435,"about_ca_system_score_codex":0.0002897483,"about_ca_system_score_gemma":0.00008689736,"threshold_uncertainty_score":0.9999729},"labels":[],"label_agreement":null},{"id":"W2037372250","doi":"10.1021/pr401191w","title":"Annotating N Termini for the Human Proteome Project: N Termini and Nα-Acetylation Status Differentiate Stable Cleaved Protein Species from Degradation Remnants in the Human Erythrocyte Proteome","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Biology; Human proteome project; Proteomics; Peptide mass fingerprinting; Biochemistry; Computational biology; Protein domain; Gene","score_opus":0.1060391309076949,"score_gpt":0.39908079232491867,"score_spread":0.29304166141722376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037372250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773085,0.00010541253,0.014066828,0.0010186143,0.000016243677,0.0070514176,0.00007960722,0.000040331477,0.00031306088],"genre_scores_gemma":[0.9615295,0.000079044315,0.031726208,0.00001648693,0.0005300218,0.0050117616,0.00005374509,0.00007210643,0.0009811566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961202,0.00037732293,0.0011338115,0.0004902032,0.001063716,0.00081475213],"domain_scores_gemma":[0.9970226,0.00052853476,0.0010284709,0.00069798983,0.00060985395,0.000112528236],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0038104733,0.00031924582,0.000474493,0.00033177235,0.0013311146,0.0005011132,0.00087873015,0.00018113888,0.00004648934],"category_scores_gemma":[0.0007688097,0.00020324896,0.0001302931,0.0005047481,0.0003388171,0.00054331304,0.00023573684,0.001486862,0.0000018676815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001762087,0.00017679925,0.0014533227,0.00032850535,0.00003607068,0.0000047311482,0.0014876466,0.00000593795,0.9909429,0.00070008467,0.000083417006,0.004604367],"study_design_scores_gemma":[0.0030163096,0.0008556965,0.01563601,0.00119947,0.00004874651,0.000037980055,0.0026136546,0.0020466656,0.9135044,0.05450059,0.006029986,0.00051049324],"about_ca_topic_score_codex":0.0003854979,"about_ca_topic_score_gemma":0.000112080525,"teacher_disagreement_score":0.07743851,"about_ca_system_score_codex":0.00027296855,"about_ca_system_score_gemma":0.00020060079,"threshold_uncertainty_score":0.999969},"labels":[],"label_agreement":null},{"id":"W2037509903","doi":"10.1016/j.aca.2013.05.065","title":"Differential isotope dansylation labeling combined with liquid chromatography mass spectrometry for quantification of intact and N-terminal truncated proteins","year":2013,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sanofi Pasteur; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Amino acid; Chromatography; Mass spectrometry; Proteolysis; Hydrolysis; Biochemistry; Enzyme","score_opus":0.010833718278968752,"score_gpt":0.2496055269748269,"score_spread":0.23877180869585815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037509903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9557694,0.0000036427189,0.042452678,0.00045714402,0.000005373615,0.0008427173,0.000044278986,0.00010152474,0.00032323797],"genre_scores_gemma":[0.94048357,0.00003564725,0.058713336,0.0000119195165,0.000032894437,0.00042344403,0.00021503368,0.000031534822,0.000052626114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895316,0.0000090945005,0.00035675848,0.00034206847,0.00013120248,0.00020772617],"domain_scores_gemma":[0.99903685,0.00006649362,0.00029074325,0.00038510363,0.00014635095,0.00007444071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047404763,0.00018647223,0.00027311855,0.00013290673,0.0001156079,0.00005114934,0.00018135848,0.00010587896,0.00015974001],"category_scores_gemma":[0.000025544834,0.00016002242,0.00007420567,0.00026758853,0.00010747649,0.00016480497,0.0000310318,0.00014095052,0.0000015195786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022339282,0.00011944494,0.00068883464,0.0001372338,0.00006934188,1.3164565e-7,0.000033990586,5.199148e-7,0.99652284,0.002060945,0.000027540635,0.00011577176],"study_design_scores_gemma":[0.00066950603,0.00036797868,0.00091544335,0.000089171815,0.00011835956,0.0000053320946,0.000048765323,0.010068587,0.98432773,0.003089208,0.00007057391,0.00022932014],"about_ca_topic_score_codex":0.000018466355,"about_ca_topic_score_gemma":0.000004077085,"teacher_disagreement_score":0.016260656,"about_ca_system_score_codex":0.000027835684,"about_ca_system_score_gemma":0.000025466112,"threshold_uncertainty_score":0.6525525},"labels":[],"label_agreement":null},{"id":"W2037625634","doi":"10.1142/s0219720006002399","title":"PROTEOMIC BIOMARKER IDENTIFICATION FOR DIAGNOSIS OF EARLY RELAPSE IN OVARIAN CANCER","year":2006,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"National Science Foundation","keywords":"Markov blanket; Feature selection; Support vector machine; Artificial intelligence; Computer science; Feature (linguistics); Pattern recognition (psychology); Feature vector; Biomarker discovery; Biomarker; Curse of dimensionality; Machine learning; Identification (biology); Markov chain; Proteomics; Markov model; Biology","score_opus":0.013561879053840334,"score_gpt":0.29218493878624746,"score_spread":0.27862305973240714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037625634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.817774,0.00011890648,0.18137582,0.0003441703,0.00002255215,0.00015358176,0.00010149402,0.000004040208,0.000105463914],"genre_scores_gemma":[0.88050073,0.00010261077,0.11920183,0.000018752711,0.00003339351,0.00008659015,0.000037879272,0.0000044881626,0.0000137239995],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991208,0.000005427759,0.00068758504,0.000053756015,0.000054257252,0.000078208504],"domain_scores_gemma":[0.99896854,0.00009395341,0.00068542175,0.000051875824,0.00018012416,0.000020071411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016431444,0.000063424515,0.00015243722,0.000107495456,0.000033727414,0.000011488925,0.0000846939,0.00007574931,0.000011143927],"category_scores_gemma":[0.00002055669,0.000054880315,0.000049269474,0.00007905176,0.000055783414,0.00009499652,0.000016688768,0.000070742666,2.6499075e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007435241,0.0007155718,0.4504823,0.0010396296,0.00022829045,0.0000020281495,0.000758633,0.016995165,0.22302832,0.19683014,0.0013016979,0.107874714],"study_design_scores_gemma":[0.003622414,0.0003178154,0.12681569,0.0003394679,0.00007887297,0.00006419711,0.00012205195,0.08739066,0.1306704,0.64748627,0.0026691246,0.00042305602],"about_ca_topic_score_codex":0.000040332237,"about_ca_topic_score_gemma":0.0000030184046,"teacher_disagreement_score":0.45065612,"about_ca_system_score_codex":0.000030470776,"about_ca_system_score_gemma":0.0000505149,"threshold_uncertainty_score":0.22379543},"labels":[],"label_agreement":null},{"id":"W2038088590","doi":"10.1021/ac061248v","title":"Multiplexed Proteomic Reactor for the Processing of Proteomic Samples","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Lysis; Fractionation; Chromatography; Size-exclusion chromatography; Proteomics; Peptide; Mass spectrometry; Proteome; Biochemistry; Enzyme","score_opus":0.021507971965306676,"score_gpt":0.2896774769785364,"score_spread":0.2681695050132297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038088590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9309108,0.00018286431,0.058152497,0.0010473931,0.000007866357,0.0011849736,0.0002366702,0.00028410472,0.007992801],"genre_scores_gemma":[0.94400245,0.000008322003,0.052850198,0.000018117877,0.00027915943,0.0010204548,0.00008518285,0.000037723228,0.0016983737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988018,0.0000027926187,0.0004228202,0.00033311456,0.00015504647,0.00028437324],"domain_scores_gemma":[0.99895084,0.00015473062,0.00023531403,0.000470326,0.00013646533,0.0000523358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107608,0.00018780104,0.00023726592,0.000011159477,0.00013441392,0.000031452808,0.00036947016,0.00016323943,0.0001542771],"category_scores_gemma":[0.00014060807,0.00014174115,0.00016812942,0.00011921402,0.0002164774,0.000052352814,0.000061194965,0.00022249517,0.0000019789286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048305257,0.00008613149,0.00084350957,0.00033047856,0.000016841195,2.8377062e-7,0.000006817348,0.000039652256,0.99643856,0.0007707899,0.00037307374,0.0010455771],"study_design_scores_gemma":[0.00032607862,0.000005594689,0.0000968512,0.000060859034,0.0000599628,0.000004554788,0.000022504548,0.0078311125,0.9799511,0.005767925,0.005695011,0.00017844893],"about_ca_topic_score_codex":0.00006497893,"about_ca_topic_score_gemma":0.0000015423665,"teacher_disagreement_score":0.016487444,"about_ca_system_score_codex":0.000066213914,"about_ca_system_score_gemma":0.00008284407,"threshold_uncertainty_score":0.5780037},"labels":[],"label_agreement":null},{"id":"W2038651305","doi":"10.1002/pmic.200900412","title":"Pathway analysis of dilated cardiomyopathy using global proteomic profiling and enrichment maps","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"Dilated cardiomyopathy; Profiling (computer programming); Proteomics; Cardiomyopathy; Computational biology; Internal medicine; Cardiology; Chemistry; Medicine; Biology; Heart failure; Computer science; Biochemistry; Gene","score_opus":0.011452339357734806,"score_gpt":0.27268477092966037,"score_spread":0.26123243157192555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038651305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9459486,0.00008572425,0.051728148,0.000032961532,0.000024464887,0.0007740407,0.00037753483,0.00012704812,0.0009014735],"genre_scores_gemma":[0.66346467,0.000022750839,0.336124,0.000008544309,0.000041302315,0.00024310996,0.000063505555,0.000018251643,0.000013901757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986571,0.000012287989,0.00044178122,0.00043843215,0.0001721892,0.00027818646],"domain_scores_gemma":[0.9988575,0.000016726299,0.00032657597,0.00056286936,0.0001286396,0.00010768228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021524717,0.00022406306,0.00041589906,0.000101150436,0.00012936194,0.00003654346,0.0002297428,0.00021237179,0.00003477632],"category_scores_gemma":[0.00004656891,0.00022538447,0.00016002909,0.0005970736,0.00012340251,0.00009157106,0.0001745139,0.00033217785,0.0000010377994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000294417,0.000050396575,0.04515478,0.00007156323,0.00023836124,0.0000014858048,0.000035814952,0.00028393188,0.9482706,0.003897212,8.2871986e-7,0.0019655814],"study_design_scores_gemma":[0.00026310675,0.000015613297,0.0006840121,0.000019529321,0.00038579892,0.000009112385,0.000024966152,0.015076418,0.9779146,0.0051562474,0.00017701414,0.0002736324],"about_ca_topic_score_codex":0.00008654441,"about_ca_topic_score_gemma":0.000009341039,"teacher_disagreement_score":0.28439584,"about_ca_system_score_codex":0.00009576874,"about_ca_system_score_gemma":0.00009714296,"threshold_uncertainty_score":0.9190912},"labels":[],"label_agreement":null},{"id":"W2039231543","doi":"10.1038/nprot.2006.273","title":"Tissue subcellular fractionation and protein extraction for use in mass-spectrometry-based proteomics","year":2006,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":346,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research; National Science Council","keywords":"Fractionation; Proteome; Differential centrifugation; Proteomics; Cell fractionation; Golgi apparatus; Mass spectrometry; Chemistry; Chromatography; Sample preparation; Endoplasmic reticulum; Centrifugation; Protein subcellular localization prediction; Tandem mass spectrometry; Extraction (chemistry); Protein purification; Cytosol; Biochemistry; Membrane; Enzyme","score_opus":0.013123542833288298,"score_gpt":0.32579790949899473,"score_spread":0.3126743666657064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039231543","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04185538,0.0000337331,0.8626705,0.00037524384,0.000008317478,0.09421336,0.000080125654,0.00022468451,0.0005386959],"genre_scores_gemma":[0.10760717,6.955409e-7,0.5661593,0.000024492932,0.000110536916,0.32544652,0.0001245348,0.000031539264,0.0004951972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988929,0.000012767514,0.00029981975,0.00040486426,0.00016925384,0.00022041517],"domain_scores_gemma":[0.9992658,0.000077324476,0.00022151388,0.00027177695,0.0001268975,0.00003669807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016962283,0.00018084711,0.00016251447,0.0001335881,0.00011385636,0.000095831696,0.000110419845,0.0005292034,0.000036929712],"category_scores_gemma":[0.00008876444,0.00019145396,0.000041668398,0.00022075845,0.000031645715,0.00028945922,0.000013478373,0.00063592853,0.0000017029731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001565142,0.0001330198,0.0013475167,0.00018305567,0.0000024429028,0.0000015853873,0.0000019329912,0.00008477247,0.9881278,0.009051038,0.000078796984,0.00083147903],"study_design_scores_gemma":[0.0008814901,0.000040312843,0.00026191727,0.00009952747,0.0000042852225,0.0000031036802,0.0000027644908,0.0017588317,0.9270076,0.028749878,0.040983815,0.00020645886],"about_ca_topic_score_codex":0.000047214064,"about_ca_topic_score_gemma":0.00003430393,"teacher_disagreement_score":0.29651117,"about_ca_system_score_codex":0.00020471762,"about_ca_system_score_gemma":0.00005044585,"threshold_uncertainty_score":0.7807266},"labels":[],"label_agreement":null},{"id":"W2039688593","doi":"10.4155/bio.09.105","title":"Industrialized MS-Based Proteomics in the Search for Circulating Biomarkers","year":2009,"lang":"en","type":"review","venue":"Bioanalysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Computational biology; Chemistry; Biology; Biochemistry","score_opus":0.10841784383845461,"score_gpt":0.3970885675081616,"score_spread":0.28867072366970703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039688593","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016084454,0.96776503,0.027988313,0.00020687656,0.000010427469,0.0026244852,0.00028704567,0.00010591199,0.0009957992],"genre_scores_gemma":[0.00007540026,0.9078328,0.08631968,0.000048957634,0.000202049,0.004292884,0.0010639625,0.00006646176,0.00009779064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979114,0.00010341933,0.00083181437,0.0005556913,0.00024057976,0.00035709157],"domain_scores_gemma":[0.9980228,0.00041751773,0.00049611245,0.0009436093,0.00006729781,0.00005266201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008559836,0.0003743169,0.0011598966,0.0002885861,0.00016965947,0.00009646316,0.0008117122,0.0005704574,0.0000644302],"category_scores_gemma":[0.00012801412,0.00026873598,0.001018074,0.0012799068,0.00006345771,0.000029402936,0.000040457046,0.00052875106,0.0000038536587],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009143119,0.00006886877,0.000007282009,0.0022471799,0.00022156184,0.0000025466004,0.0000118118105,0.000024310273,0.000078479454,0.00022600102,0.000048125366,0.9970547],"study_design_scores_gemma":[0.0003844284,0.000010432112,1.6203525e-7,0.0021685727,0.0014756277,0.0000034452373,0.000029076204,0.0011632614,0.00055098307,0.00030108346,0.9934699,0.00044301598],"about_ca_topic_score_codex":0.000068013316,"about_ca_topic_score_gemma":0.000009438278,"teacher_disagreement_score":0.99661165,"about_ca_system_score_codex":0.0002997453,"about_ca_system_score_gemma":0.00030318563,"threshold_uncertainty_score":0.99997646},"labels":[],"label_agreement":null},{"id":"W2039924422","doi":"10.1586/epr.11.79","title":"Peptide retention prediction in reversed-phase chromatography: proteomic applications","year":2012,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Chromatography; Proteomics; Chemistry; Bottom-up proteomics; Peptide; Reversed-phase chromatography; Digestion (alchemy); High-performance liquid chromatography; Mass spectrometry; Biochemistry; Tandem mass spectrometry; Protein mass spectrometry","score_opus":0.012737377649920837,"score_gpt":0.3312695583672076,"score_spread":0.3185321807172868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039924422","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078025815,0.3349019,0.35687068,0.0012526629,0.22418553,0.054266144,0.01200576,0.0024055631,0.013331508],"genre_scores_gemma":[0.000073116025,0.28060412,0.35910943,0.00007577654,0.30677652,0.044406738,0.007824537,0.00025601362,0.0008737678],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960463,0.00007141895,0.0018112975,0.0008700001,0.00067749724,0.00052348647],"domain_scores_gemma":[0.9961204,0.00006614718,0.0016682711,0.001590759,0.00038794064,0.00016646046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077137933,0.0006358393,0.0011729936,0.000235742,0.00012611075,0.000026163774,0.0008005871,0.0011275387,0.00024686469],"category_scores_gemma":[0.0002992062,0.0006611253,0.0005219414,0.00054319255,0.000104001374,0.0002835973,0.00019054208,0.0014029777,0.00004349513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072365685,0.000617213,0.000022844531,0.025038842,0.00006243,0.000001397837,0.000048862803,9.988008e-7,0.16349825,0.00022258029,0.807319,0.0030952275],"study_design_scores_gemma":[0.0008471724,0.00006872567,9.892332e-7,0.021106608,0.00011052686,0.0000056008043,0.00002846658,0.000024194933,0.056105006,0.0006074294,0.92049944,0.00059585326],"about_ca_topic_score_codex":0.00008104213,"about_ca_topic_score_gemma":0.0000050046187,"teacher_disagreement_score":0.113180436,"about_ca_system_score_codex":0.0004937296,"about_ca_system_score_gemma":0.00033671665,"threshold_uncertainty_score":0.999584},"labels":[],"label_agreement":null},{"id":"W2039989552","doi":"10.1021/pr0705439","title":"Protein Identification and Peptide Expression Resolver: Harmonizing Protein Identification with Protein Expression Data","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"U.S. Public Health Service","keywords":"Identification (biology); Protein expression; Peptide; Resolver; Biomarker discovery; Proteomics; Bottom-up proteomics; Computational biology; Biology; Biochemistry; Chemistry; Computer science; Tandem mass spectrometry; Gene; Protein mass spectrometry; Mass spectrometry","score_opus":0.11331036498606949,"score_gpt":0.3881823402315962,"score_spread":0.2748719752455267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039989552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8178865,0.00042151572,0.17700388,0.0008120921,0.000012017368,0.0033109032,0.00003656196,0.00008725691,0.00042929803],"genre_scores_gemma":[0.8189796,0.00006122671,0.17668533,0.0000041169537,0.0003366357,0.000823656,0.000051494655,0.00008015336,0.0029777866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99519956,0.0001837359,0.0013516878,0.00079209055,0.0017827412,0.00069016207],"domain_scores_gemma":[0.9953156,0.00011312443,0.0013032384,0.0016318968,0.0012949872,0.00034113764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007636316,0.00029291864,0.00036071686,0.0005172678,0.0007147343,0.00036885298,0.0014340489,0.00027681104,0.00007811591],"category_scores_gemma":[0.00082481315,0.00023475416,0.000064675536,0.0006657146,0.00032692307,0.0014610216,0.0006726411,0.0017322367,0.00001379204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006900176,0.00020790342,0.00014921403,0.00043556804,0.000017737004,0.000035696332,0.00015913496,0.0000033175602,0.9927754,0.00029901022,0.00023486602,0.00499214],"study_design_scores_gemma":[0.0007237884,0.00016092285,0.0002305146,0.0022911197,0.000012156102,0.00007743415,0.0004958011,0.00017368415,0.9868581,0.004492087,0.004214293,0.00027009234],"about_ca_topic_score_codex":0.000031267795,"about_ca_topic_score_gemma":0.000008157993,"teacher_disagreement_score":0.006811503,"about_ca_system_score_codex":0.00029055748,"about_ca_system_score_gemma":0.00027055314,"threshold_uncertainty_score":0.9572997},"labels":[],"label_agreement":null},{"id":"W2039997444","doi":"10.1038/nmeth.3138","title":"Onco-proteogenomics: cancer proteomics joins forces with genomics","year":2014,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Proteogenomics; Proteomics; Computational biology; Proteome; Biology; Genomics; Genome; Cancer; Transcriptome; Bioinformatics; Gene; Genetics; Gene expression","score_opus":0.013741755490704626,"score_gpt":0.36495536052356875,"score_spread":0.35121360503286414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039997444","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07671656,0.00059799576,0.9028881,0.0005843799,0.00007028707,0.0006373809,0.00006823365,0.00035350746,0.018083531],"genre_scores_gemma":[0.027193941,0.00021567244,0.9691252,0.00050734763,0.00051997346,0.0011103159,0.000029215926,0.00009861881,0.0011997056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985299,0.00005863783,0.0003030558,0.00056088134,0.00015630871,0.0003911945],"domain_scores_gemma":[0.99850243,0.00014646938,0.0002823833,0.00079637184,0.0001363483,0.0001359985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050839427,0.00031347267,0.00035920207,0.00005946117,0.00022891037,0.0000581565,0.000507941,0.0005842449,0.00017224818],"category_scores_gemma":[0.000103051454,0.0002595747,0.00010493941,0.00018569904,0.00011349386,0.00009716643,0.000115456474,0.0012066293,0.000006205892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009928348,0.000043137024,0.0004236753,0.00010799278,0.000057175133,9.727775e-7,0.00011201816,0.00035171252,0.888983,0.016439473,0.00016804112,0.09321348],"study_design_scores_gemma":[0.0003208599,0.00003129953,0.000022535858,0.00003966388,0.000037234826,0.000011707525,0.000024432788,0.0017082245,0.7426098,0.015725896,0.23914006,0.00032830052],"about_ca_topic_score_codex":0.000041488544,"about_ca_topic_score_gemma":0.00003313198,"teacher_disagreement_score":0.23897202,"about_ca_system_score_codex":0.00024913918,"about_ca_system_score_gemma":0.00012177658,"threshold_uncertainty_score":0.99998564},"labels":[],"label_agreement":null},{"id":"W2040316385","doi":"10.1016/j.drudis.2006.04.011","title":"Informatics solutions for high-throughput proteomics","year":2006,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Informatics; Computer science; Automation; Data science; Software; Proteogenomics; Data mining; Genomics; Engineering; Biology","score_opus":0.027732811939831497,"score_gpt":0.31173860551168286,"score_spread":0.28400579357185135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040316385","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005515832,0.73144245,0.25585335,0.000052156724,0.000099387544,0.0022747088,0.004787307,0.0003364694,0.00514866],"genre_scores_gemma":[0.000004204761,0.881155,0.09463987,0.00003382402,0.0004706824,0.0069364724,0.005455726,0.00013830223,0.0111659095],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99752307,0.0000142394365,0.00119115,0.00042117707,0.0001925292,0.00065783516],"domain_scores_gemma":[0.9976931,0.00019449652,0.0009038727,0.0010562793,0.00007550358,0.00007670799],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018736091,0.0006081772,0.0012319311,0.000094367024,0.00040712525,0.0001980562,0.00068579486,0.00045747045,0.000040962706],"category_scores_gemma":[0.0000401907,0.0005427952,0.0006686961,0.00021744102,0.0001146926,0.00046070517,0.00031640753,0.00055065274,0.000048492297],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015236076,0.00047117006,0.0000010943007,0.06782448,0.00032777223,0.0000024793974,0.00011860071,0.00024429898,0.00005196301,0.22652394,0.08073831,0.62368065],"study_design_scores_gemma":[0.00016301963,0.0000072262314,1.8607679e-8,0.0027783266,0.0003744682,0.000008952785,0.000020351366,0.000051089068,0.0004250232,0.012395286,0.9831382,0.0006380429],"about_ca_topic_score_codex":0.000045313103,"about_ca_topic_score_gemma":0.000011319116,"teacher_disagreement_score":0.9023999,"about_ca_system_score_codex":0.00037045538,"about_ca_system_score_gemma":0.00036575005,"threshold_uncertainty_score":0.99970233},"labels":[],"label_agreement":null},{"id":"W2041144562","doi":"10.1586/14789450.2013.856763","title":"Targeted quantitation of CVD-linked plasma proteins for biomarker verification and validation","year":2013,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta Hospital; University of Victoria; Genome British Columbia","funders":"","keywords":"Biomarker; Biomarker discovery; Medicine; Disease; Proteomics; Computational biology; Bioinformatics; Internal medicine; Biology","score_opus":0.06609470905016948,"score_gpt":0.3885726682994698,"score_spread":0.32247795924930034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041144562","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002485206,0.87287253,0.11840951,0.000058205922,0.000028445042,0.008188997,0.00027032607,0.000056751458,0.00009038261],"genre_scores_gemma":[0.0000027688486,0.59936607,0.38879788,0.000008769125,0.000044205084,0.010553346,0.0011154561,0.000053313477,0.000058208047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974719,0.000060667186,0.0015760959,0.0005099792,0.00018956754,0.00019177196],"domain_scores_gemma":[0.9963169,0.00014650801,0.0023288985,0.00074085285,0.00040290755,0.00006395068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003888413,0.0004176296,0.0015863574,0.000109602945,0.00007308263,0.00001867697,0.00034798263,0.00040426888,0.00008608486],"category_scores_gemma":[0.00040375785,0.00036038127,0.00040867698,0.00024499887,0.000111257395,0.00015553339,0.00007252353,0.00019368368,0.000005981705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001532215,0.00009578539,3.8432293e-7,0.29483077,0.00009932676,6.3775126e-8,0.000035055964,1.717717e-7,0.09168297,0.0026050173,0.00053907954,0.61009604],"study_design_scores_gemma":[0.0002522486,0.00007228195,2.2003826e-7,0.09536166,0.00034083336,0.0000072669677,0.000010570202,0.00017180514,0.12486402,0.0007396704,0.7776691,0.0005103855],"about_ca_topic_score_codex":0.000020348787,"about_ca_topic_score_gemma":3.8289897e-7,"teacher_disagreement_score":0.77712995,"about_ca_system_score_codex":0.00009959652,"about_ca_system_score_gemma":0.00017274465,"threshold_uncertainty_score":0.99988484},"labels":[],"label_agreement":null},{"id":"W2041658062","doi":"10.1016/j.jchromb.2006.10.075","title":"Improved proteomic discovery by sample pre-fractionation using dual-column ion-exchange high performance liquid chromatography","year":2006,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Genomics Institute; Genome Canada","keywords":"Chemistry; Chromatography; Fractionation; High-performance liquid chromatography; Ion chromatography; Ion exchange; Chromatography column; Column (typography); Sample preparation; Sample (material); Analytical Chemistry (journal); Ion; Organic chemistry","score_opus":0.00660426571010895,"score_gpt":0.240630177341039,"score_spread":0.23402591163093006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041658062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360345,0.00048272026,0.062389493,0.00010447722,0.00010743082,0.0003685104,0.0001766385,0.00012101137,0.00021523274],"genre_scores_gemma":[0.9553637,0.0004307818,0.0432572,0.000038055416,0.0005601257,0.0001278909,0.000099061486,0.00006506691,0.000058136517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792343,0.000023265087,0.00092557614,0.00031130825,0.00043331704,0.00038311217],"domain_scores_gemma":[0.997743,0.00007082503,0.0014240473,0.0003828073,0.0002706166,0.000108708584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022714942,0.00031955857,0.0004092842,0.00037653183,0.00033344954,0.00016531014,0.0002997633,0.00022302546,0.00012244079],"category_scores_gemma":[0.000019778316,0.00031268012,0.0003861802,0.00062432064,0.00014171809,0.0012230147,0.000059630016,0.0004475747,0.0000010445782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017747031,0.0003123031,0.0035785148,0.00018548888,0.000084422674,0.0000025818972,0.00002568442,0.00020306636,0.9938818,0.00023477832,0.0009744639,0.0003393829],"study_design_scores_gemma":[0.0010670398,0.00026759857,0.002611022,0.0002572207,0.00010377074,0.00022864167,0.000028748138,0.0014043984,0.9855722,0.0023073307,0.0056790607,0.00047296242],"about_ca_topic_score_codex":0.000369814,"about_ca_topic_score_gemma":0.000006219598,"teacher_disagreement_score":0.019329194,"about_ca_system_score_codex":0.00014785724,"about_ca_system_score_gemma":0.00009549146,"threshold_uncertainty_score":0.9999325},"labels":[],"label_agreement":null},{"id":"W2041686750","doi":"10.1038/nprot.2011.382","title":"Identifying and quantifying proteolytic events and the natural N terminome by terminal amine isotopic labeling of substrates","year":2011,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":327,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteome; Isotopic labeling; Chemistry; Biochemistry; Protease; Peptide; Isobaric labeling; Stable isotope labeling by amino acids in cell culture; Amine gas treating; Amino acid; Label-free quantification; Lysine; Quantitative proteomics; Proteomics; Enzyme","score_opus":0.03292652992043294,"score_gpt":0.33340022787527973,"score_spread":0.3004736979548468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041686750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610947,0.001276972,0.0006907642,0.00011845066,0.000015943522,0.036022224,0.00003144206,0.00010850884,0.00064103125],"genre_scores_gemma":[0.9314566,0.00002290078,0.021337016,0.00003413626,0.000031889875,0.04683723,0.00000748722,0.00001984224,0.0002528691],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906135,0.000017541279,0.00030766104,0.0002874551,0.00013579922,0.0001901858],"domain_scores_gemma":[0.9993096,0.00005980177,0.00025112904,0.0002751901,0.00006237843,0.000041916534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019306321,0.0001727036,0.00023089824,0.000031877098,0.00014743976,0.000033438224,0.00024297003,0.00019758011,0.000019145384],"category_scores_gemma":[0.000049596303,0.00012147837,0.000042706804,0.000086480955,0.00018461571,0.00013995652,0.00012010925,0.00063675817,5.172024e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036190895,0.00011806388,0.028675735,0.0016167407,0.000052793945,0.000005823074,0.0008774122,1.0968632e-7,0.95037943,0.0072643775,0.000027529997,0.010620085],"study_design_scores_gemma":[0.0015947922,0.000032905053,0.0013213049,0.0005860607,0.000030999392,0.000056357618,0.00011258215,0.00019745124,0.97979116,0.015574895,0.00046320833,0.00023826187],"about_ca_topic_score_codex":0.000026369595,"about_ca_topic_score_gemma":0.000003924342,"teacher_disagreement_score":0.029638035,"about_ca_system_score_codex":0.000014957473,"about_ca_system_score_gemma":0.000016003665,"threshold_uncertainty_score":0.4953744},"labels":[],"label_agreement":null},{"id":"W2041820065","doi":"10.1021/pr900729g","title":"Combinatorial Peptide Libraries Facilitate Development of Multiple Reaction Monitoring Assays for Low-Abundance Proteins","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Mesothelin; Proteome; Proteomics; Selected reaction monitoring; Biomarker discovery; Chemistry; Computational biology; Biology; Quantitative proteomics; Peptide; Biochemistry; Tandem mass spectrometry; Antibody; Chromatography; Mass spectrometry; Immunology","score_opus":0.07908628407681124,"score_gpt":0.36784312140544995,"score_spread":0.2887568373286387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041820065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627604,0.000044798104,0.03517494,0.00019945088,0.00015305805,0.0010532531,0.00002384064,0.000033497185,0.0005567878],"genre_scores_gemma":[0.6523755,0.000018023708,0.34623134,4.9460306e-7,0.00044491436,0.00060190004,0.000003511964,0.00002362874,0.00030066207],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980355,0.000031344553,0.00071245036,0.00019442513,0.000670629,0.00035568836],"domain_scores_gemma":[0.99761,0.00032148266,0.00048448952,0.0002993889,0.0011480848,0.00013657894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017509973,0.00013104634,0.00026820556,0.00017696462,0.0003346147,0.00006248632,0.00046974682,0.00017005941,0.000024332563],"category_scores_gemma":[0.001104446,0.000118770324,0.00010977223,0.0002156807,0.00016291029,0.0003946919,0.000121670615,0.0012386832,0.0000030737756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003349468,0.00018044002,0.00086302724,0.00037264804,0.00002734687,0.0000015829294,0.00035940303,0.0000043031328,0.9922424,0.0014598194,0.00004694749,0.004107148],"study_design_scores_gemma":[0.00075057667,0.00011158863,0.0002062894,0.00023069115,0.0000036973329,0.0000089616115,0.00018576595,0.00006092369,0.96228707,0.021022337,0.015020341,0.00011174551],"about_ca_topic_score_codex":0.00001469217,"about_ca_topic_score_gemma":0.000003974498,"teacher_disagreement_score":0.3110564,"about_ca_system_score_codex":0.0001421547,"about_ca_system_score_gemma":0.0005639195,"threshold_uncertainty_score":0.5381531},"labels":[],"label_agreement":null},{"id":"W2042254332","doi":"10.1016/j.jasms.2005.07.022","title":"Increasing peptide identification in tandem mass spectrometry through automatic function switching optimization","year":2005,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Data acquisition; Tandem mass spectrometry; Mass spectrometry; Chemistry; Tandem; Fragmentation (computing); Function (biology); Data quality; Biological system; Computer science; Chromatography","score_opus":0.010759122123955186,"score_gpt":0.27707673214688583,"score_spread":0.26631761002293064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042254332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3825918,0.00012063215,0.61568356,0.0010800306,0.000041602594,0.00015517532,0.000005321912,0.00005196112,0.00026990974],"genre_scores_gemma":[0.503367,0.00016872885,0.4958504,0.0001710518,0.00031710308,0.000020653493,0.000004239888,0.000030134035,0.0000706602],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981358,0.00003774758,0.0008452474,0.00025235023,0.0003936122,0.00033522336],"domain_scores_gemma":[0.9971727,0.00021631268,0.0020134947,0.00039868924,0.0001388104,0.00005996862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007670126,0.00021271878,0.000410246,0.00012130545,0.00026053542,0.000093690796,0.00047858668,0.00008865956,0.000074162715],"category_scores_gemma":[0.00018164463,0.00018175325,0.0006600053,0.0011771724,0.000101405785,0.00050422904,0.00004840362,0.00059862115,0.000001703173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000459957,0.00010786136,0.005207871,0.00004559046,0.00013611288,3.951886e-7,0.00015515569,0.011205979,0.98035365,0.00048612253,0.00037133426,0.001883957],"study_design_scores_gemma":[0.0041731335,0.0005767038,0.017522953,0.0007929209,0.0010281018,0.00045075442,0.009082837,0.25770319,0.6111266,0.09176701,0.0040548816,0.0017208977],"about_ca_topic_score_codex":0.000021644273,"about_ca_topic_score_gemma":0.0000022972645,"teacher_disagreement_score":0.36922702,"about_ca_system_score_codex":0.0011872968,"about_ca_system_score_gemma":0.00008265423,"threshold_uncertainty_score":0.74116826},"labels":[],"label_agreement":null},{"id":"W2042316161","doi":"10.1021/ac801249v","title":"Optimizing Identification and Quantitation of <sup>15</sup>N-Labeled Proteins in Comparative Proteomics","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Proteomics; Label-free quantification; Quantitative proteomics; Stable isotope ratio; Mass spectrometry; Quantitative analysis (chemistry); Chromatography; Identification (biology); Isotope; Computational biology; Stable isotope labeling by amino acids in cell culture; Proteome; Biochemistry; Biology","score_opus":0.03697395731235967,"score_gpt":0.3105952748851952,"score_spread":0.2736213175728356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042316161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97998655,0.00007106675,0.016904442,0.00011239214,0.0000011740294,0.00025171865,0.000020146672,0.00005366456,0.0025988217],"genre_scores_gemma":[0.95524603,0.00007315835,0.04400625,0.000009738202,0.000024096655,0.00008923311,0.000063282096,0.00001385758,0.00047433167],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998864,0.000008250832,0.00047243136,0.0003275632,0.00015166956,0.0001761186],"domain_scores_gemma":[0.9992879,0.00006305607,0.00018595484,0.00029202213,0.00011046621,0.000060590744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009963836,0.00014743852,0.0002683315,0.00003310806,0.000080216865,0.0000140328,0.00014677037,0.00014882443,0.0000727823],"category_scores_gemma":[0.00008941012,0.0001597224,0.000048135662,0.00021632542,0.0002168194,0.000114439106,0.000053119467,0.00025563058,0.0000035255464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050163315,0.00019381536,0.0024163662,0.00024229173,0.000022431585,0.000003834044,0.00066556194,0.0010899126,0.9939463,0.0012411146,0.000045021945,0.000083194805],"study_design_scores_gemma":[0.00038568955,0.000009318523,0.00016195045,0.00006765509,0.000017141983,0.000012991097,0.00034919585,0.07375222,0.92380494,0.0011966224,0.000070866976,0.00017142917],"about_ca_topic_score_codex":0.000022026386,"about_ca_topic_score_gemma":0.000001680174,"teacher_disagreement_score":0.0726623,"about_ca_system_score_codex":0.000066917404,"about_ca_system_score_gemma":0.000048699356,"threshold_uncertainty_score":0.6513291},"labels":[],"label_agreement":null},{"id":"W2043103546","doi":"10.1016/j.jprot.2013.01.010","title":"2D gels still have a niche in proteomics","year":2013,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Niche; Proteomics; Computational biology; Biology; Ecology; Biochemistry","score_opus":0.05011260806478556,"score_gpt":0.35486719111153947,"score_spread":0.3047545830467539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043103546","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040970312,0.9685626,0.026512591,0.00008895501,0.00009068838,0.0030539557,0.00011633899,0.000061465056,0.0011037055],"genre_scores_gemma":[0.000006509323,0.69067216,0.30698797,0.000020883665,0.0004573723,0.0009934128,0.000019515159,0.00013040376,0.00071174785],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959181,0.00007362387,0.0025848537,0.00047433662,0.0003945429,0.0005545611],"domain_scores_gemma":[0.99465173,0.00015184583,0.0037797973,0.00084005663,0.00033162514,0.00024494965],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00063534785,0.0007250472,0.0024658216,0.00040103006,0.00006672685,0.00012826754,0.0013500472,0.001029462,0.00022999255],"category_scores_gemma":[0.00027352409,0.0005944106,0.00091160263,0.00030435808,0.00011271398,0.00029097186,0.0002710607,0.0030204537,0.000047436835],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008181529,0.0005809279,0.00003895149,0.023013415,0.00036788057,0.00014039142,0.00018965008,0.00005776747,0.007754,0.0011241983,0.0013153413,0.96533567],"study_design_scores_gemma":[0.000519668,0.000089391164,2.6640808e-7,0.0131867835,0.0003244979,0.0006298292,0.000036804387,0.000056753637,0.0077795773,0.0058924113,0.9707388,0.00074518786],"about_ca_topic_score_codex":0.00001982601,"about_ca_topic_score_gemma":0.0000050816125,"teacher_disagreement_score":0.9694235,"about_ca_system_score_codex":0.00088268437,"about_ca_system_score_gemma":0.0008644331,"threshold_uncertainty_score":0.9996507},"labels":[],"label_agreement":null},{"id":"W2043276694","doi":"10.1016/j.jprot.2011.12.031","title":"Multiplexed quantification of 63 proteins in human urine by multiple reaction monitoring-based mass spectrometry for discovery of potential bladder cancer biomarkers","year":2012,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Ministry of Education; Chang Gung University; National Science Council; National Health Research Institutes; Genome British Columbia; Chang Gung Memorial Hospital; Genome Canada","keywords":"Bladder cancer; Urinary system; Urine; Cancer; Medicine; Biomarker; Urology; Internal medicine; Chemistry; Biochemistry","score_opus":0.021107809231780426,"score_gpt":0.3089491088882706,"score_spread":0.2878412996564902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043276694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6940151,0.00014096189,0.3049367,0.00008107577,0.00005933328,0.0006063909,0.00013858404,0.000010682595,0.00001115764],"genre_scores_gemma":[0.7505332,0.0000548686,0.24889024,0.000001815484,0.00019496366,0.00023202885,0.00002623239,0.00002828646,0.000038373997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984881,0.000019815354,0.0008739103,0.00015459173,0.00022765766,0.00023587594],"domain_scores_gemma":[0.99780893,0.000057991645,0.0015801579,0.00025762763,0.00023059444,0.00006472057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039202516,0.00016061697,0.00033010662,0.00019316282,0.000056865516,0.000014463538,0.00021840472,0.00015728756,0.00001065461],"category_scores_gemma":[0.00011326516,0.00015641583,0.00017861882,0.00019606091,0.00007050372,0.00039301623,0.000020090212,0.00025951854,1.2072447e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004871912,0.0004888536,0.01863237,0.0002256364,0.00006695146,2.5828845e-7,0.000031357096,0.00048854796,0.9792494,0.00007617476,0.000029741997,0.0002235277],"study_design_scores_gemma":[0.0014806408,0.00008872351,0.00205811,0.00017252968,0.00005010919,0.0000028343943,0.00009266793,0.00082793925,0.994611,0.00039756126,0.00007076919,0.00014710735],"about_ca_topic_score_codex":0.00013203865,"about_ca_topic_score_gemma":0.0000054596467,"teacher_disagreement_score":0.05651809,"about_ca_system_score_codex":0.0002512575,"about_ca_system_score_gemma":0.00008835896,"threshold_uncertainty_score":0.6378452},"labels":[],"label_agreement":null},{"id":"W2043594346","doi":"10.1021/ac102265w","title":"Improved Precision of iTRAQ and TMT Quantification by an Axial Extraction Field in an Orbitrap HCD Cell","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Christian Doppler Forschungsgesellschaft; Austrian Science Fund","keywords":"Orbitrap; Chemistry; Isobaric labeling; Quantitative proteomics; Mass spectrometry; Ion trap; Analytical Chemistry (journal); Accuracy and precision; Quadrupole ion trap; Tandem mass spectrometry; Isobaric process; Tandem mass tag; Ion; Chromatography; Proteomics; Protein mass spectrometry; Statistics","score_opus":0.025458456337286477,"score_gpt":0.3066770964598588,"score_spread":0.2812186401225723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043594346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778398,0.000033714165,0.014727096,0.000029105826,0.0000046382147,0.00007862217,0.000022125712,0.00004990327,0.0072149597],"genre_scores_gemma":[0.99343103,0.000049683233,0.006019336,0.00001538048,0.00003429035,0.00003348084,0.000092353606,0.000014865036,0.0003096003],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99907374,0.000006523862,0.0003228871,0.00035531822,0.00009169261,0.00014981847],"domain_scores_gemma":[0.99925816,0.000048695885,0.00012373064,0.00040144718,0.000054395987,0.00011354372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009548535,0.00012298854,0.0001528802,0.000017195629,0.0000360665,0.000014802026,0.00016375474,0.0002490495,0.0003871342],"category_scores_gemma":[0.000035490964,0.00012885797,0.00003790365,0.00008712654,0.00006206435,0.0001781335,0.000026626814,0.00026286195,9.614873e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008151507,0.0003432295,0.0014843681,0.00007034438,0.000003166892,6.703032e-7,0.00004684029,0.000001153013,0.99565166,0.0001143855,0.000037634258,0.0021650174],"study_design_scores_gemma":[0.00019830665,0.000041753716,0.00014950731,0.00001550681,0.000017833252,0.0000027650815,0.00009978708,0.009791046,0.98778343,0.0015997322,0.00015765027,0.00014268732],"about_ca_topic_score_codex":0.00010752574,"about_ca_topic_score_gemma":0.000008046791,"teacher_disagreement_score":0.015591175,"about_ca_system_score_codex":0.000025433208,"about_ca_system_score_gemma":0.000019597992,"threshold_uncertainty_score":0.5254676},"labels":[],"label_agreement":null},{"id":"W2043856061","doi":"10.1039/b801724g","title":"Linking the kinome and phosphorylome—a comprehensive review of approaches to find kinase targets","year":2008,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; National Cancer Institute; Genome Canada","keywords":"Kinome; Kinase; Phosphorylation; Biology; Computational biology; Protein phosphorylation; Cell biology; Protein kinase A","score_opus":0.08146808433639019,"score_gpt":0.3015082796342897,"score_spread":0.22004019529789953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043856061","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029563418,0.99560755,0.001530453,0.00008496637,0.000025603651,0.0018573771,0.00017883972,0.000056713532,0.0006289051],"genre_scores_gemma":[0.000083942396,0.9943893,0.003796241,0.00012887381,0.000067522466,0.0011460318,0.00020709599,0.00008187937,0.00009908905],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980369,0.000073980525,0.0008176711,0.00057127385,0.00024244213,0.00025773072],"domain_scores_gemma":[0.99798274,0.000088730485,0.00065462885,0.0010836297,0.000082175655,0.00010809192],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001259761,0.00046544013,0.0015062247,0.00006413326,0.00012400965,0.00002242219,0.0005623634,0.0002820317,0.00001564699],"category_scores_gemma":[0.000032955973,0.00033289503,0.00042251358,0.00033171364,0.0001001109,0.000017615352,0.0002904658,0.00039772558,0.000011877211],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031480674,0.00006542574,0.0000014545692,0.4817858,0.00025904312,0.00004284423,0.00007283498,0.0000026086693,0.0042672497,0.001663461,0.00058819493,0.51124793],"study_design_scores_gemma":[0.000042110787,0.000011773975,7.7451894e-8,0.08239851,0.00016960605,0.00013064817,0.00000772173,0.0000039195916,0.004860024,0.000044805496,0.91200995,0.00032086894],"about_ca_topic_score_codex":0.00001464301,"about_ca_topic_score_gemma":2.6486472e-7,"teacher_disagreement_score":0.9114217,"about_ca_system_score_codex":0.00007168429,"about_ca_system_score_gemma":0.000087219916,"threshold_uncertainty_score":0.9999123},"labels":[],"label_agreement":null},{"id":"W2044074546","doi":"10.1016/j.clinbiochem.2012.10.025","title":"Mass spectrometry-based quantification","year":2012,"lang":"en","type":"review","venue":"Clinical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Cancer Research Institute","keywords":"Context (archaeology); Mass spectrometry; Computer science; Chromatography; Data mining; Chemistry; Biology","score_opus":0.13514456499376487,"score_gpt":0.44635921934170614,"score_spread":0.31121465434794127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044074546","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006023629,0.96828306,0.021138726,0.000039449224,0.00010032367,0.00027241727,0.0003260917,0.00040616136,0.0094277505],"genre_scores_gemma":[0.00006146104,0.91848683,0.07569497,0.000034678375,0.001268332,0.0005046421,0.0019184427,0.000114313516,0.0019163287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99673665,0.00003537069,0.0015586697,0.0009801388,0.00021999411,0.0004691921],"domain_scores_gemma":[0.995994,0.00057340914,0.0010745944,0.0019605933,0.00007655359,0.00032089427],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047678684,0.00055739994,0.001440759,0.00005142041,0.00010469608,0.000048005,0.0008999632,0.0016066934,0.0012310208],"category_scores_gemma":[0.00027865055,0.00051455107,0.0011503303,0.00032059496,0.00025027033,0.000035129095,0.00010456566,0.0014264171,0.00046212907],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008102697,0.0004402167,0.000031862328,0.021771155,0.00012966599,0.0000035875908,6.135113e-7,1.587689e-7,0.0048238747,0.00048746416,0.0011226976,0.9711806],"study_design_scores_gemma":[0.00011141275,0.000007142394,1.15314776e-7,0.0021920644,0.0005999575,0.00000714057,0.0000017930698,0.000007303511,0.023455065,0.00038392268,0.9726548,0.00057928934],"about_ca_topic_score_codex":0.0000010120019,"about_ca_topic_score_gemma":5.4934585e-8,"teacher_disagreement_score":0.9715321,"about_ca_system_score_codex":0.00019902166,"about_ca_system_score_gemma":0.00032581552,"threshold_uncertainty_score":0.9997306},"labels":[],"label_agreement":null},{"id":"W2044184449","doi":"10.1007/s12088-010-0072-3","title":"Optimization of a protein extraction technique for fungal proteomics","year":2010,"lang":"en","type":"article","venue":"Indian Journal of Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Division of Human Resource Development; National Key Research and Development Program of China; China Scholarship Council; Ministry of Education, India","keywords":"Proteomics; Proteome; Chaps; Mycelium; Chromatography; Extraction (chemistry); Protein purification; Tris; Biology; Chemistry; Biochemistry; Botany; Enzyme","score_opus":0.007491149371530092,"score_gpt":0.26805507010351237,"score_spread":0.26056392073198226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044184449","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35162616,0.000020566424,0.64739364,0.00016782717,0.000043846663,0.00055445876,0.00007730397,0.000014321584,0.00010189701],"genre_scores_gemma":[0.43492457,0.000008359914,0.5647177,0.000009144225,0.00010969384,0.00015430004,0.000015454067,0.000014071734,0.000046706762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926656,0.0000107165915,0.0004565385,0.00010665289,0.00002557585,0.0001339257],"domain_scores_gemma":[0.9986801,0.000037008347,0.0008144527,0.00015615694,0.0002705915,0.000041680898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024948647,0.00009427137,0.00019193115,0.00009828989,0.000050415627,0.000006408082,0.00021011037,0.00027719798,0.000105482686],"category_scores_gemma":[0.00009250238,0.00008757596,0.00010211287,0.00006231929,0.00009025221,0.00007790168,0.000017786455,0.00043644337,5.25557e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096344644,0.00006307094,0.00006392795,0.00005220711,0.000014689769,0.0000026000448,0.00003335136,0.00020723224,0.99823815,0.00042753626,0.000036257676,0.0007646259],"study_design_scores_gemma":[0.00031628896,0.000114189046,0.0000016686097,0.000049560073,0.000010889988,0.0010865689,0.000020366178,0.00003123164,0.99311167,0.0021029126,0.003070271,0.00008438202],"about_ca_topic_score_codex":0.0000017009605,"about_ca_topic_score_gemma":0.0000025088684,"teacher_disagreement_score":0.083298415,"about_ca_system_score_codex":0.000030274625,"about_ca_system_score_gemma":0.000111649984,"threshold_uncertainty_score":0.3571244},"labels":[],"label_agreement":null},{"id":"W2045115536","doi":"10.3791/2812","title":"Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canary Foundation; National Cancer Institute; Entertainment Industry Foundation; Paul G. Allen Family Foundation; W. M. Keck Foundation","keywords":"Mass spectrometry; Peptide; Chemistry; Chromatography; Protein mass spectrometry; Isobaric labeling; Proteomics; Affinity chromatography; Tandem mass spectrometry; Biochemistry; Enzyme","score_opus":0.05690214194440745,"score_gpt":0.39965656366648455,"score_spread":0.3427544217220771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045115536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70534843,0.00017998712,0.2934041,0.000005126228,0.000018023264,0.000165865,0.00000419826,0.000018955592,0.00085528137],"genre_scores_gemma":[0.63746315,0.00005108042,0.36236387,0.000005174232,0.00002682254,0.000022640234,0.0000027337226,0.000018653449,0.00004587577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867964,0.000020423064,0.0006651458,0.00014732679,0.0003196456,0.00016780074],"domain_scores_gemma":[0.99809235,0.000017906892,0.0012596193,0.0003115682,0.0002431151,0.00007544613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020449975,0.00015458863,0.00031878278,0.000114282906,0.00007368258,0.000014090429,0.00026474407,0.000071835195,0.00038109557],"category_scores_gemma":[0.00002123488,0.00012804725,0.000103218634,0.0001829304,0.00006782407,0.00016712578,0.000033444227,0.00018342858,0.0000017659052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004581016,0.00054124836,0.00088035106,0.00003281495,0.000103322054,0.000004308278,0.00038389268,0.0000134697175,0.9967049,0.00082946586,0.000006240457,0.000041911415],"study_design_scores_gemma":[0.0010483578,0.00020459217,0.0001493034,0.00013802078,0.000043623295,0.000030341222,0.0004941383,0.0003516701,0.9966643,0.0006640221,0.00007336512,0.0001382678],"about_ca_topic_score_codex":0.00005060735,"about_ca_topic_score_gemma":2.627376e-7,"teacher_disagreement_score":0.06895976,"about_ca_system_score_codex":0.00015947665,"about_ca_system_score_gemma":0.00008261967,"threshold_uncertainty_score":0.5221615},"labels":[],"label_agreement":null},{"id":"W2045117578","doi":"10.1038/nmeth.3255","title":"DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics","year":2015,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":695,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Workflow; Computer science; Multiplex; Proteomics; Tandem mass spectrometry; Mass spectrometry; Software; Fragmentation (computing); Data acquisition; Database search engine; Data mining; Computational biology; Chemistry; Chromatography; Bioinformatics; Database; Information retrieval; Biology; Search engine; Programming language","score_opus":0.09065455223700448,"score_gpt":0.46449615700907426,"score_spread":0.3738416047720698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045117578","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024190492,0.00055995904,0.9938924,0.00081741216,0.00013016592,0.0006342768,0.00039088973,0.00023054707,0.0009253307],"genre_scores_gemma":[0.015065034,0.000014431124,0.98169357,0.00066288986,0.000443226,0.00046169962,0.0015074271,0.00004263114,0.00010910294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986862,0.00005659466,0.0002736873,0.00051638123,0.00024000151,0.00022715882],"domain_scores_gemma":[0.997845,0.000610527,0.00020661316,0.0008156369,0.00038518984,0.0001370397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005026348,0.00019166294,0.00023898105,0.000038655846,0.00013254155,0.000050256684,0.00057232974,0.000633844,0.000039005332],"category_scores_gemma":[0.0004082139,0.0001891431,0.00007022611,0.00013979065,0.000057138954,0.0001447282,0.00025158434,0.0008644162,0.000005982631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006421226,0.0004910066,0.0003564244,0.00044074593,0.0002575212,0.0000073683236,0.00042254687,0.004533911,0.22665147,0.5955649,0.0180052,0.15262678],"study_design_scores_gemma":[0.00047899527,0.00002457143,0.000030188925,0.000039983122,0.000037106252,0.000015373551,0.00006500587,0.017821517,0.1821547,0.7187673,0.080297686,0.00026757558],"about_ca_topic_score_codex":0.000003336304,"about_ca_topic_score_gemma":5.880856e-7,"teacher_disagreement_score":0.1523592,"about_ca_system_score_codex":0.00012638983,"about_ca_system_score_gemma":0.00010544934,"threshold_uncertainty_score":0.7713032},"labels":[],"label_agreement":null},{"id":"W2045234988","doi":"10.1016/j.cell.2006.01.044","title":"Global Survey of Organ and Organelle Protein Expression in Mouse: Combined Proteomic and Transcriptomic Profiling","year":2006,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":493,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; National Science Council; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Proteome; Organelle; Transcriptome; Protein subcellular localization prediction; Cell biology; Mitochondrion; Computational biology; Proteomics; Bioinformatics; Gene expression; Biochemistry; Gene","score_opus":0.008515690859558712,"score_gpt":0.23279437081560167,"score_spread":0.22427867995604295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045234988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959234,0.00014333824,0.0024573663,0.000015684953,0.00000261366,0.00056611426,0.00008479721,0.000053893993,0.00075276726],"genre_scores_gemma":[0.98041385,0.000021367401,0.018965939,0.0000028288177,0.0000075324247,0.000119205855,0.00005344311,0.000017231181,0.00039860545],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993121,0.000016859087,0.0002348989,0.00023668625,0.000060128103,0.00013934617],"domain_scores_gemma":[0.99965495,0.000012290156,0.00009133038,0.00017566567,0.00003246159,0.00003333179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101172256,0.00011450338,0.00016126895,0.000020463152,0.00004180109,0.000011551895,0.00008936012,0.00010200507,0.000021345822],"category_scores_gemma":[0.0000093875915,0.000114042276,0.000011612604,0.000112354035,0.00006220763,0.000045049997,0.00004248743,0.00009917757,5.935436e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004716227,0.00007996718,0.030490266,0.00016919117,7.5779076e-7,5.22152e-7,0.000017497454,0.000007856868,0.9690195,0.00009745817,0.0000132269815,0.00005661434],"study_design_scores_gemma":[0.0006991457,0.000017162572,0.0033975942,0.00005084536,0.0000022674722,0.0000012759591,0.000018206489,0.00018048397,0.9935747,0.0019237214,0.000016423826,0.00011816855],"about_ca_topic_score_codex":0.0004344156,"about_ca_topic_score_gemma":0.00007689726,"teacher_disagreement_score":0.027092671,"about_ca_system_score_codex":0.000034874083,"about_ca_system_score_gemma":0.00002711692,"threshold_uncertainty_score":0.46505088},"labels":[],"label_agreement":null},{"id":"W2045333965","doi":"10.1016/j.jprot.2012.10.027","title":"Label-free quantitative proteomics trends for protein–protein interactions","year":2012,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Nexen (Canada); Lunenfeld-Tanenbaum Research Institute; Sciex (Canada)","funders":"Canadian Institutes of Health Research","keywords":"Quantitative proteomics; Proteomics; Identification (biology); Computational biology; Protein–protein interaction; Data science; Label-free quantification; Mass spectrometry; Computer science; Field (mathematics); Biochemical engineering; Chemistry; Biology; Chromatography; Biochemistry; Engineering","score_opus":0.1023491491248888,"score_gpt":0.40587502348815835,"score_spread":0.30352587436326955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045333965","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011417974,0.7362659,0.25625458,0.00025935264,0.00019602067,0.0044927606,0.0011495516,0.00013294835,0.0011347076],"genre_scores_gemma":[0.0000069811745,0.35257095,0.63771987,0.00001114538,0.0010321881,0.0052875127,0.000106427506,0.00022993314,0.0030350098],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99558204,0.00008068119,0.002592192,0.00054799975,0.00044473977,0.0007523535],"domain_scores_gemma":[0.9917759,0.00019034908,0.00566363,0.0012490462,0.0007676873,0.00035342627],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008672256,0.00093994685,0.0024934264,0.0006128849,0.00031845694,0.00014769606,0.0018062172,0.00078950863,0.00022693949],"category_scores_gemma":[0.0005305499,0.0008003633,0.0018432966,0.0005436693,0.0001713519,0.0006063039,0.00033760734,0.0023541006,0.000022134218],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042051158,0.0011532594,0.0000010884539,0.025811361,0.0014079806,0.000014174048,0.00015721624,0.0000056359722,0.056946106,0.033782195,0.0012382868,0.8790622],"study_design_scores_gemma":[0.0009712788,0.00028587738,3.717404e-8,0.011460521,0.0014050674,0.0002862063,0.000036712456,0.000029093799,0.02067626,0.01439465,0.9495572,0.00089710933],"about_ca_topic_score_codex":0.0000068691684,"about_ca_topic_score_gemma":0.0000058324213,"teacher_disagreement_score":0.9483189,"about_ca_system_score_codex":0.0008611437,"about_ca_system_score_gemma":0.0006808017,"threshold_uncertainty_score":0.9999475},"labels":[],"label_agreement":null},{"id":"W2045392429","doi":"10.1021/pr0503634","title":"Pre-extraction Sample Handling by Automated Frozen Disruption Significantly Improves Subsequent Proteomic Analyses","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Proteome; Homogenization (climate); Sample preparation; Computational biology; Chromatography; Chemistry; Reproducibility; Mass spectrometry; Proteomics; Biology; Biochemistry; Gene","score_opus":0.08058170702959169,"score_gpt":0.45722675924832556,"score_spread":0.3766450522187339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045392429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90423393,0.00038506175,0.09289841,0.00097091735,0.000020179183,0.00094398856,0.00006755201,0.00018144218,0.0002985071],"genre_scores_gemma":[0.8744826,0.0004024834,0.12350554,0.00000963363,0.00049135706,0.00040983246,0.000031875028,0.000049026898,0.00061766466],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971689,0.00011960769,0.00089348434,0.0003385982,0.0009293882,0.00055001513],"domain_scores_gemma":[0.99767786,0.00023614903,0.0006783935,0.00040085355,0.00076759636,0.00023913993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016565673,0.0002116116,0.00034660075,0.00033018427,0.0003831487,0.00018861076,0.00051096437,0.00021841214,0.00034205063],"category_scores_gemma":[0.000503926,0.00018029372,0.0001818808,0.00046157397,0.00014198091,0.0006271871,0.00009261022,0.0013083591,0.000026173499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022795837,0.00024912856,0.00017732136,0.000099342535,0.000059572318,0.0000044713593,0.000096980846,0.00033086186,0.9911769,0.000038152342,0.00088011415,0.0066592116],"study_design_scores_gemma":[0.0005164408,0.00018569003,0.0002476989,0.00015461374,0.000026860134,0.000053952564,0.0001202102,0.011032062,0.9808208,0.002015063,0.004627304,0.00019935169],"about_ca_topic_score_codex":0.000159294,"about_ca_topic_score_gemma":0.000007952532,"teacher_disagreement_score":0.030607127,"about_ca_system_score_codex":0.00068583584,"about_ca_system_score_gemma":0.00024762345,"threshold_uncertainty_score":0.73521644},"labels":[],"label_agreement":null},{"id":"W2045567582","doi":"10.1016/j.jprot.2013.01.019","title":"Computational proteomics pitfalls and challenges: HavanaBioinfo 2012 Workshop report","year":2013,"lang":"en","type":"letter","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute; Bioinformatics Solutions (Canada)","funders":"International Centre for Genetic Engineering and Biotechnology","keywords":"Proteomics; Computer science; Data science; Computational biology; Biology; Genetics","score_opus":0.032251520968936284,"score_gpt":0.27721588578820544,"score_spread":0.24496436481926914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045567582","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030536249,0.009335179,0.29789445,0.68266416,0.00034813164,0.0024589826,0.0001998098,0.00019980004,0.0038458768],"genre_scores_gemma":[0.00006536543,0.010039653,0.9528942,0.024418877,0.005779983,0.0004276584,0.00022791338,0.0002202731,0.0059260745],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965509,0.00003899073,0.0017100916,0.00054285245,0.00064862083,0.0005085335],"domain_scores_gemma":[0.9947985,0.00019881196,0.003309361,0.0007119019,0.0007831741,0.00019829425],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005070885,0.00059760164,0.0009307149,0.00023714323,0.00016551341,0.00017959934,0.0007334018,0.0014454186,0.0002682449],"category_scores_gemma":[0.00020327192,0.00055732357,0.00033513032,0.00010130698,0.00023433386,0.0005056897,0.00023832433,0.004000429,0.000020067295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008259864,0.0001669005,0.00004326224,0.0018046056,0.0004592283,0.0011926373,0.00021351365,0.000500428,0.0070806863,0.0009992892,0.98172146,0.005735412],"study_design_scores_gemma":[0.0006828198,0.000079672565,0.00000888711,0.0008942603,0.00016007526,0.005340777,0.0000691231,0.00052044354,0.004982555,0.04331397,0.943076,0.0008714137],"about_ca_topic_score_codex":0.000007654761,"about_ca_topic_score_gemma":0.0000013429433,"teacher_disagreement_score":0.65824527,"about_ca_system_score_codex":0.0003178976,"about_ca_system_score_gemma":0.0003861171,"threshold_uncertainty_score":0.9998509},"labels":[],"label_agreement":null},{"id":"W2045592818","doi":"10.1002/1615-9861(200201)2:1<36::aid-prot36>3.0.co;2-w","title":"RADARS, a bioinformatics solution that automates proteome mass spectral analysis, optimises protein identification, and archives data in a relational database","year":2002,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Center for Research Resources","keywords":"Computer science; Relational database; Database; Software; Scalability; Identification (biology); Data mining; SQL; Database search engine; Intranet; Information retrieval; Search engine; The Internet; World Wide Web; Operating system","score_opus":0.03947316087064725,"score_gpt":0.27012104122697866,"score_spread":0.2306478803563314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045592818","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16600491,0.00029943566,0.8287082,0.0009223645,0.000009191406,0.0019066122,0.0009777682,0.0003191334,0.00085237867],"genre_scores_gemma":[0.22607341,0.0002741214,0.77081805,0.000015652235,0.00004085035,0.000839496,0.001481007,0.000026710526,0.00043068398],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822104,0.000025619893,0.0006224837,0.0005593025,0.0002349774,0.0003365589],"domain_scores_gemma":[0.99823076,0.000056725577,0.00039958546,0.0011862793,0.000024972152,0.00010169952],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002325351,0.00024907116,0.000279039,0.00027726803,0.00024415078,0.00013451358,0.00055458717,0.00012287995,0.00012511002],"category_scores_gemma":[0.00009798586,0.0002595108,0.00005799095,0.0004836361,0.00017644283,0.0008321969,0.00030195652,0.00035067517,0.000009179524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009633646,0.00036255302,0.019145021,0.0006019411,0.0002524525,0.00000750084,0.00073659036,0.0006531087,0.96619713,0.008664505,0.00011385179,0.0031689995],"study_design_scores_gemma":[0.0005044254,0.000011409983,0.0011052141,0.00010487134,0.00009970142,0.000014184127,0.00009065135,0.73509455,0.25456962,0.0076685254,0.00033922688,0.0003976058],"about_ca_topic_score_codex":0.000027099124,"about_ca_topic_score_gemma":0.000013114274,"teacher_disagreement_score":0.73444146,"about_ca_system_score_codex":0.000056663303,"about_ca_system_score_gemma":0.00003579423,"threshold_uncertainty_score":0.9999857},"labels":[],"label_agreement":null},{"id":"W2045704125","doi":"10.1016/j.jchromb.2006.09.004","title":"Global and targeted quantitative proteomics for biomarker discovery","year":2006,"lang":"en","type":"review","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; European Bioinformatics Institute; Canadian Institute for Theoretical Astrophysics","keywords":"Biomarker discovery; Proteomics; Proteome; Biomarker; Computational biology; Chemistry; Quantitative proteomics; Data science; Computer science; Biology; Biochemistry","score_opus":0.03264808115300277,"score_gpt":0.35571159932194024,"score_spread":0.32306351816893747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045704125","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019379755,0.9202192,0.07756008,0.000015404265,0.000043619115,0.0006180652,0.0009377963,0.000033093213,0.00037895585],"genre_scores_gemma":[0.000024966259,0.82210594,0.17739205,0.0000059540557,0.0001126798,0.0002001018,0.00008367289,0.00004368572,0.000030967753],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983058,0.000020587218,0.0010164464,0.0002556344,0.00017039904,0.00023114868],"domain_scores_gemma":[0.99747795,0.0001416091,0.0018802272,0.00024359098,0.00016598185,0.00009063552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017257126,0.0003769277,0.0012901862,0.00018002233,0.000097850316,0.000104412575,0.00031741642,0.00032727048,0.000006612375],"category_scores_gemma":[0.00003866342,0.0002927689,0.0010680916,0.00037822057,0.00014448565,0.00022192774,0.000052582796,0.00025281834,3.3798102e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033949007,0.0009806018,0.00049348315,0.09648705,0.004220521,0.00007474614,0.000043856155,0.0000061875485,0.0024890625,0.044997692,0.022672145,0.82719517],"study_design_scores_gemma":[0.00037985996,0.00008038389,0.000007482227,0.0060845516,0.00079109153,0.00033327902,0.000012907468,0.000009523608,0.0002909044,0.012748841,0.97885734,0.00040381058],"about_ca_topic_score_codex":0.0000049571117,"about_ca_topic_score_gemma":0.0000017814965,"teacher_disagreement_score":0.9561852,"about_ca_system_score_codex":0.00008893999,"about_ca_system_score_gemma":0.0001810547,"threshold_uncertainty_score":0.99995244},"labels":[],"label_agreement":null},{"id":"W2045797292","doi":"10.1002/pmic.201100382","title":"Recent Workshops of the HUPO Human Plasma Proteome Project (HPPP): A bridge with the HUPO CardioVascular Initiative and the emergence of SRM targeted proteomics","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human proteome project; Proteome; Bridge (graph theory); Library science; Political science; Engineering; Bioinformatics; Proteomics; Computer science; Medicine; Biology; Internal medicine; Genetics","score_opus":0.03997849865173912,"score_gpt":0.2557880636820221,"score_spread":0.21580956503028298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045797292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533532,0.0007732128,0.027119901,0.0007830184,0.00003473025,0.012465464,0.00019773452,0.00013550052,0.005137241],"genre_scores_gemma":[0.92733204,0.00092324364,0.06347137,0.00006771467,0.00008677747,0.007854689,0.000015247704,0.0000930248,0.00015590654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977432,0.00016390118,0.00067793595,0.0005411431,0.0004603795,0.000413422],"domain_scores_gemma":[0.9969861,0.000083634375,0.00088319025,0.001583228,0.00040493303,0.000058926977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008325275,0.00040198874,0.00059665384,0.000051491847,0.00050899177,0.000030221463,0.0010965411,0.00020385865,0.00006310627],"category_scores_gemma":[0.00015398955,0.00020912888,0.00030578888,0.0005994619,0.0013675075,0.0001381119,0.00046600922,0.0007827797,0.0000011963904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065363464,0.001631044,0.007864811,0.0024787944,0.004365655,0.000014151648,0.04404656,0.0008947584,0.86561346,0.048320673,0.0012749772,0.016958784],"study_design_scores_gemma":[0.0017068788,0.00010860462,0.0007661817,0.00023245678,0.00024122039,0.000029669141,0.000894585,0.000427527,0.9881183,0.0054789996,0.0016042868,0.00039127935],"about_ca_topic_score_codex":0.000248208,"about_ca_topic_score_gemma":0.00005764861,"teacher_disagreement_score":0.12250487,"about_ca_system_score_codex":0.000056441062,"about_ca_system_score_gemma":0.00021908712,"threshold_uncertainty_score":0.8528028},"labels":[],"label_agreement":null},{"id":"W2046461084","doi":"10.1016/s1367-5931(00)00250-7","title":"Analysis of phosphorylated proteins and peptides by mass spectrometry","year":2001,"lang":"en","type":"review","venue":"Current Opinion in Chemical Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":382,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Phosphorylation; Mass spectrometry; Protein phosphorylation; Serine; Threonine; Peptide; Chemistry; Phosphopeptide; Biochemistry; Computational biology; Chromatography; Proteomics; Biology; Protein kinase A","score_opus":0.0504918496087894,"score_gpt":0.3889434227922931,"score_spread":0.3384515731835037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046461084","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017502668,0.99595195,0.002543475,0.000010199365,0.000055627832,0.00034464741,0.0006725799,0.00005299197,0.00019352311],"genre_scores_gemma":[0.000101349695,0.9923059,0.003361713,0.0000011604708,0.00007591448,0.0004780009,0.003634489,0.000024051102,0.000017466813],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982511,0.00002495673,0.0007817265,0.0006060798,0.00006736112,0.00026878968],"domain_scores_gemma":[0.99885803,0.00015411526,0.00048705266,0.0003906017,0.00003354556,0.00007663188],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008640055,0.00033139327,0.0015035837,0.00026519047,0.000019069714,0.000007007021,0.00032656314,0.00056280114,0.00019678236],"category_scores_gemma":[0.000060939867,0.00029159206,0.00031484303,0.0011982118,0.00020026899,0.000018069053,0.00013449411,0.00062517467,0.0000025314193],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000089713,0.00020513155,0.00045463504,0.008593172,0.00040386175,1.5210699e-7,0.0000061517094,1.9732052e-7,0.025503349,0.0007697655,0.00021421144,0.9638404],"study_design_scores_gemma":[0.00012341929,0.000013430023,3.7788396e-7,0.0022861008,0.00039435658,0.000002915527,0.000002289022,0.00002813271,0.009380786,0.0011818493,0.98624796,0.00033841343],"about_ca_topic_score_codex":0.00000866021,"about_ca_topic_score_gemma":1.442149e-7,"teacher_disagreement_score":0.98603374,"about_ca_system_score_codex":0.0001246785,"about_ca_system_score_gemma":0.00003920704,"threshold_uncertainty_score":0.9999536},"labels":[],"label_agreement":null},{"id":"W2046485348","doi":"10.1002/jms.1450","title":"Targeted identification of phosphorylated peptides by off‐line HPLC–MALDI‐MS/MS using LC retention time prediction","year":2008,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Science Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Research Manitoba","keywords":"Phosphopeptide; Chemistry; Chromatography; Phosphorylation; Elution; Phosphoproteomics; Protein phosphorylation; Retention time; Biochemistry; Protein kinase A","score_opus":0.012807865903344885,"score_gpt":0.2495094733121847,"score_spread":0.23670160740883983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046485348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8632166,0.00091472245,0.13499948,0.00007220942,0.000054112803,0.00013152896,0.00009465467,0.00006245429,0.0004542338],"genre_scores_gemma":[0.91427577,0.0013513778,0.08272847,0.000008625259,0.0002333021,0.0000075879884,0.00008900248,0.000037435337,0.0012684378],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980336,0.000025925845,0.0011427345,0.00020873794,0.00038503227,0.00020396711],"domain_scores_gemma":[0.9975479,0.00003522445,0.0017075664,0.00029754377,0.00031975406,0.000091984526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039336,0.0001742251,0.00035904272,0.00024643674,0.00013883895,0.000019458817,0.00024508926,0.00018342567,0.0005563165],"category_scores_gemma":[0.000111438625,0.00017419424,0.00020754489,0.00052499113,0.00008781047,0.00032862567,0.00002685078,0.00041686592,0.000008199632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008642597,0.00014889255,0.0010345345,0.000032211385,0.00005960865,0.000004323031,0.000026862834,0.00017114118,0.9967112,0.0000464728,0.0014324682,0.00024588068],"study_design_scores_gemma":[0.0004690872,0.00011817163,0.0008582972,0.00007868803,0.00007829042,0.00017156216,0.000023488537,0.004764349,0.99048054,0.001978236,0.00083465315,0.00014460999],"about_ca_topic_score_codex":0.000011138854,"about_ca_topic_score_gemma":1.252334e-7,"teacher_disagreement_score":0.052271023,"about_ca_system_score_codex":0.00028763124,"about_ca_system_score_gemma":0.000054130593,"threshold_uncertainty_score":0.71034354},"labels":[],"label_agreement":null},{"id":"W2046550649","doi":"10.1002/pmic.201200340","title":"Membrane proteomics by high performance liquid chromatography–tandem mass spectrometry: Analytical approaches and challenges","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Australia","keywords":"Proteomics; Biomarker discovery; Computational biology; Workflow; Chemistry; Chromatography; Tandem mass spectrometry; Quantitative proteomics; Mass spectrometry; Computer science; Biochemical engineering; Biology; Biochemistry; Engineering","score_opus":0.0686188529196762,"score_gpt":0.2846231059842696,"score_spread":0.2160042530645934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046550649","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00095549115,0.9843163,0.008666094,0.00013268298,0.000038445578,0.0027866736,0.00033807405,0.00047591334,0.0022903625],"genre_scores_gemma":[0.0003473278,0.83561426,0.15894426,0.000010111602,0.00043088524,0.0038277663,0.0003771652,0.00024475696,0.00020342687],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961855,0.000060535232,0.0011042497,0.0012500978,0.00038836795,0.0010112438],"domain_scores_gemma":[0.99728215,0.000109434535,0.0008939489,0.0012558557,0.00006202578,0.00039659298],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004963125,0.0011600545,0.0022736792,0.00026966503,0.00029219204,0.00011685681,0.0008900401,0.0012860904,0.00010971833],"category_scores_gemma":[0.00003488269,0.0010504549,0.00043229153,0.00049235404,0.00034439945,0.0002701146,0.0003556562,0.0015757101,0.000030323969],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017252596,0.0009865855,0.00005264551,0.16196905,0.0016331958,0.000010021903,0.00016497928,0.00000400845,0.009650055,0.02571332,0.00013223178,0.7995114],"study_design_scores_gemma":[0.0006052483,0.0002442876,0.0000012336789,0.0052534323,0.0017022892,0.00023723464,0.000049158898,0.0003828625,0.055074047,0.000992318,0.9326611,0.0027967743],"about_ca_topic_score_codex":0.000005844261,"about_ca_topic_score_gemma":8.0705206e-7,"teacher_disagreement_score":0.93252885,"about_ca_system_score_codex":0.00029161567,"about_ca_system_score_gemma":0.00014400254,"threshold_uncertainty_score":0.99919456},"labels":[],"label_agreement":null},{"id":"W2046974944","doi":"10.3791/51349","title":"Glycopeptide Capture for Cell Surface Proteomics","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Glycoproteomics; Glycosylation; Proteomics; Glycan; Proteome; Biomarker discovery; Glycopeptide; Computational biology; Glycoprotein; Biology; Membrane protein; Cell; Chemistry; Cell biology; Biochemistry; Membrane; Gene","score_opus":0.020010027022029978,"score_gpt":0.3950027218326004,"score_spread":0.3749926948105704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046974944","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51397014,0.00026519952,0.48105377,0.00011209143,0.000071923045,0.00032724396,0.0000171047,0.000047193156,0.00413533],"genre_scores_gemma":[0.4444339,0.000045969595,0.5537824,0.00012575793,0.00019495796,0.000062242114,0.000008038357,0.000042518568,0.0013042068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896115,0.000014868499,0.00048296453,0.00015098653,0.00018351625,0.00020654195],"domain_scores_gemma":[0.9988206,0.000057313664,0.00059347256,0.00023055574,0.00017954184,0.000118528485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020348135,0.00015788653,0.00028269333,0.000029452376,0.000093890616,0.00003520765,0.00029925845,0.000117396994,0.00011120776],"category_scores_gemma":[0.000046325833,0.00013927768,0.00017038669,0.00005327588,0.000029748522,0.00011704568,0.00004122089,0.0001853192,0.0000051714205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019157933,0.00017971655,0.000078324934,0.000042291926,0.000018597699,7.400472e-7,0.00016591461,0.000060868184,0.9967208,0.00068021606,0.001670815,0.0001901646],"study_design_scores_gemma":[0.0017287626,0.00008153632,0.000001200674,0.000050307277,0.000018040577,0.0000129129485,0.00013419989,0.0004897775,0.946662,0.002106539,0.048564967,0.00014977723],"about_ca_topic_score_codex":0.0000050810468,"about_ca_topic_score_gemma":1.472437e-7,"teacher_disagreement_score":0.07272865,"about_ca_system_score_codex":0.0000887147,"about_ca_system_score_gemma":0.000042845768,"threshold_uncertainty_score":0.5679579},"labels":[],"label_agreement":null},{"id":"W2047005510","doi":"10.1517/17530050902721215","title":"Large-scale studies to identify biomarkers for heart disease: a role for proteomics?","year":2009,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Heart and Stroke Foundation; University of Toronto","funders":"","keywords":"Disease; Proteomics; Medicine; Proteome; Biomarker discovery; Profiling (computer programming); Clinical Practice; Data science; Bioinformatics; Intensive care medicine; Computational biology; Computer science; Pathology; Biology; Physical therapy","score_opus":0.028316878270953114,"score_gpt":0.4020268901297221,"score_spread":0.37371001185876895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047005510","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010380532,0.007624301,0.88448393,0.0907273,0.00052856037,0.0044037635,0.0010122452,0.00058994204,0.00024945132],"genre_scores_gemma":[0.10024925,0.021902554,0.77865493,0.05238513,0.0054740068,0.03902989,0.0014567326,0.0002535914,0.0005939225],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835694,0.000010963989,0.0003694242,0.0004821059,0.0003552488,0.00042530234],"domain_scores_gemma":[0.9980229,0.0008196052,0.000077677985,0.0004174146,0.000150978,0.00051138067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022877303,0.00022070538,0.0002834723,0.000051794956,0.0002505612,0.000028561568,0.00031211614,0.00016881713,0.000066238455],"category_scores_gemma":[0.004078464,0.0002047274,0.0001507608,0.00010636948,0.000075964956,0.00004745122,0.00007249093,0.00014387887,0.000014882273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011649664,0.002375394,0.000307432,0.00031904012,0.0001375041,0.0000054871443,0.001779855,0.000051738632,0.038551982,0.033569176,0.8894655,0.032271903],"study_design_scores_gemma":[0.00132045,0.0003279292,0.00016505578,0.00068942143,0.000010121003,0.0000019013418,0.00082050066,0.0019845658,0.06402375,0.034098916,0.8960986,0.00045878702],"about_ca_topic_score_codex":0.0000015800848,"about_ca_topic_score_gemma":0.0000012815881,"teacher_disagreement_score":0.105828986,"about_ca_system_score_codex":0.00009637507,"about_ca_system_score_gemma":0.000076456425,"threshold_uncertainty_score":0.8348541},"labels":[],"label_agreement":null},{"id":"W2047196168","doi":"10.1021/pr300229m","title":"Occurrence and Detection of Phosphopeptide Isomers in Large-Scale Phosphoproteomics Experiments","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Phosphopeptide; Phosphoproteomics; Chemistry; Phosphorylation; Peptide; Proteomics; Phosphoserine; Protein–protein interaction; Biochemistry; Computational biology; Protein phosphorylation; Chromatography; Combinatorial chemistry; Biology; Protein kinase A; Serine","score_opus":0.043970692358207636,"score_gpt":0.37960824808613663,"score_spread":0.33563755572792897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047196168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916124,0.0014418489,0.006059107,0.00006723897,0.000025773563,0.0003689122,0.000029052422,0.000009080076,0.00038663586],"genre_scores_gemma":[0.9768134,0.00075282046,0.022140088,0.0000048141637,0.00006831827,0.00014331886,0.0000017846753,0.000012145349,0.00006332493],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834126,0.000047235055,0.00053373305,0.0001461897,0.00047585228,0.00045570853],"domain_scores_gemma":[0.9989134,0.000075881886,0.0003231408,0.00022828595,0.00028603815,0.000173221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731959,0.000113345726,0.0002518129,0.00023335323,0.000093606126,0.00001948944,0.0002578355,0.00012360308,0.00011101729],"category_scores_gemma":[0.0001622577,0.000104197825,0.00006430298,0.0003925146,0.00014025086,0.00034016653,0.0001478387,0.00083794136,0.0000042897423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001657172,0.0002666357,0.012299106,0.000106332656,0.0000107451115,0.0000018518317,0.0006444775,0.000004160693,0.98228097,0.00005936978,0.0000325792,0.0041280566],"study_design_scores_gemma":[0.0005743758,0.00009281345,0.00064170826,0.0001372842,0.0000036946096,0.00003144553,0.0008761767,0.0000799167,0.9950263,0.0007049467,0.001733441,0.0000979152],"about_ca_topic_score_codex":0.000035533394,"about_ca_topic_score_gemma":0.000003852869,"teacher_disagreement_score":0.016080981,"about_ca_system_score_codex":0.00018884936,"about_ca_system_score_gemma":0.00007624738,"threshold_uncertainty_score":0.42490637},"labels":[],"label_agreement":null},{"id":"W2047777828","doi":"10.1016/j.bbapap.2014.12.022","title":"Detection and differentiation of 22kDa and 20kDa Growth Hormone proteoforms in human plasma by LC-MS/MS","year":2014,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"World Anti-Doping Agency; Villum Fonden","keywords":"Human plasma; Human growth hormone; Growth hormone; Chemistry; Hormone; Internal medicine; Chromatography; Medicine","score_opus":0.006203155641715359,"score_gpt":0.22310000068247848,"score_spread":0.21689684504076312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047777828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98854643,0.00005677057,0.008755106,0.00035823998,0.000008249813,0.0018023958,0.0001274771,0.00010116272,0.00024416784],"genre_scores_gemma":[0.9851226,0.0004897925,0.012920765,0.000029583194,0.0000727887,0.0011445868,0.00010436882,0.000057092875,0.000058376747],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827033,0.000042949767,0.00052645634,0.0006364174,0.00018322375,0.0003406304],"domain_scores_gemma":[0.998924,0.00003971168,0.0004632037,0.00037024744,0.00007144457,0.00013136196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021805053,0.00038045467,0.00043240824,0.0001163056,0.00024621724,0.000099591096,0.00018585409,0.0003070588,0.000006181223],"category_scores_gemma":[0.000041514515,0.00035264823,0.000059697733,0.00018644359,0.0002570619,0.00027134526,0.0002099554,0.00042443784,5.4152304e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012367424,0.00015196027,0.000084315885,0.00028337882,0.00002232994,1.5752572e-7,0.00016558799,4.6551125e-7,0.99597776,0.0012868564,0.000011010168,0.0018924976],"study_design_scores_gemma":[0.001106771,0.00033251918,0.0025775824,0.00011309504,0.000029262112,0.000005417715,0.00002563617,0.0014658135,0.98317033,0.010680682,0.0000755751,0.00041728947],"about_ca_topic_score_codex":0.00027157052,"about_ca_topic_score_gemma":0.000035568613,"teacher_disagreement_score":0.012807409,"about_ca_system_score_codex":0.000047296362,"about_ca_system_score_gemma":0.000020366688,"threshold_uncertainty_score":0.99989253},"labels":[],"label_agreement":null},{"id":"W2047978531","doi":"10.1021/ac010486h","title":"Recovery of Gel-Separated Proteins for In-Solution Digestion and Mass Spectrometry","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Cancerfonden; Cancer Research Society","keywords":"Chemistry; Chromatography; Electroblotting; Sample preparation in mass spectrometry; Mass spectrometry; Protein mass spectrometry; Bottom-up proteomics; Tandem mass spectrometry; Matrix-assisted laser desorption/ionization; Trifluoroacetic acid; Electrospray ionization; Capillary electrophoresis–mass spectrometry; Sample preparation; Biochemistry; Polyacrylamide gel electrophoresis; Desorption; Organic chemistry","score_opus":0.014449343630291937,"score_gpt":0.2843973132380301,"score_spread":0.26994796960773815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047978531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8981656,0.000097985874,0.08916332,0.00026473674,0.0000034538511,0.00018657999,0.000035808353,0.0000610773,0.012021458],"genre_scores_gemma":[0.971504,0.0001850853,0.02654265,0.000011155731,0.00005785011,0.00013539549,0.00007191564,0.000014964232,0.0014770251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992052,0.0000024478438,0.00026487204,0.0002548525,0.000082114224,0.00019056762],"domain_scores_gemma":[0.99952185,0.000059909886,0.000093609146,0.00020914264,0.000054206794,0.00006126699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007761167,0.000110394765,0.00017874278,0.000027256963,0.00003346947,0.000010908403,0.00008904747,0.0001657286,0.00012019615],"category_scores_gemma":[0.000104354716,0.00011780913,0.000056704717,0.00020240313,0.00007170792,0.00006014302,0.00002483048,0.00015415541,0.0000011172551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091723356,0.000077847515,0.0048279976,0.0001507871,0.000012655165,0.0000018110259,0.0000033703766,0.000021331758,0.9937807,0.0004938547,0.000048898924,0.00048906635],"study_design_scores_gemma":[0.00035884613,0.000022605884,0.00022937874,0.00006350744,0.000023485163,0.000011111093,0.000012606522,0.008048957,0.9773212,0.012515665,0.001236404,0.00015622025],"about_ca_topic_score_codex":0.000013675154,"about_ca_topic_score_gemma":0.0000014248029,"teacher_disagreement_score":0.073338374,"about_ca_system_score_codex":0.000090096146,"about_ca_system_score_gemma":0.000025468145,"threshold_uncertainty_score":0.48041168},"labels":[],"label_agreement":null},{"id":"W2047979760","doi":"10.1016/j.jprot.2013.09.006","title":"Absolute proteomic quantification of the activity state of proteases and proteolytic cleavages using proteolytic signature peptides and isobaric tags","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Proteases; Isobaric process; Proteolytic enzymes; Chemistry; Isobaric labeling; Biochemistry; Proteolysis; Proteomics; Enzyme; Quantitative proteomics","score_opus":0.015672396344328505,"score_gpt":0.26076770692797996,"score_spread":0.24509531058365144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047979760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654215,0.00022590769,0.029371254,0.0003930941,0.00001898753,0.004478206,0.00003762491,0.000020774161,0.00003266869],"genre_scores_gemma":[0.88567644,0.00013713389,0.11355486,0.000012753262,0.00005147706,0.0004345434,7.9355556e-7,0.00003934942,0.000092674025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818134,0.00006504182,0.00087441737,0.00028408322,0.0003352778,0.00025985183],"domain_scores_gemma":[0.9964348,0.00006873436,0.0024049997,0.0004595415,0.0005228027,0.000109131186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041941513,0.00027732298,0.0005111098,0.00012489843,0.0001685875,0.00006457405,0.00039035408,0.00017555225,0.000016066811],"category_scores_gemma":[0.0002494494,0.00020164713,0.0001415506,0.00024403661,0.0004160252,0.0005097813,0.00018462885,0.0006863972,5.485639e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001265569,0.00013274194,0.0017144352,0.00079450634,0.00005252063,6.5398206e-7,0.00018586464,0.00025013823,0.9924161,0.00009718511,0.000015635507,0.0042136936],"study_design_scores_gemma":[0.00051259063,0.00012148696,0.004971509,0.00064400904,0.00007783816,0.00009462141,0.000060966806,0.0056130313,0.9782988,0.009370007,0.000023548115,0.00021160893],"about_ca_topic_score_codex":0.00009522084,"about_ca_topic_score_gemma":0.0000031330528,"teacher_disagreement_score":0.0841836,"about_ca_system_score_codex":0.00009813727,"about_ca_system_score_gemma":0.00022751048,"threshold_uncertainty_score":0.82229316},"labels":[],"label_agreement":null},{"id":"W2048171534","doi":"10.1371/annotation/18f08a33-35e1-4bf9-8d21-476757dccbef","title":"Correction: Comparison of Functional Proteomic Analyses of Human Breast Cancer Cell Lines T47D and MCF7","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Centre Hospitalier Universitaire de Québec","keywords":"Biology; Cathepsin D; Heat shock protein; Cell culture; Cell growth; Proteomics; Hsp27; Molecular biology; Cancer research; Cell biology; Hsp70; Biochemistry; Gene; Genetics","score_opus":0.09084077344400175,"score_gpt":0.3429441261451974,"score_spread":0.25210335270119566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048171534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965713,0.000497358,0.0009680792,0.000037931582,0.00001245345,0.00012768699,0.00007456549,0.000040526967,0.0016701225],"genre_scores_gemma":[0.99321145,0.00008802142,0.0056408592,0.0000043077775,0.00017457023,0.00016193301,0.00002573939,0.000012019464,0.00068108906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944246,0.000004756887,0.0002276129,0.0001094229,0.0001171914,0.000098547236],"domain_scores_gemma":[0.9994564,0.000020784842,0.00021588783,0.00015718503,0.000106348474,0.000043371198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000031006155,0.0000812236,0.0002068055,0.000020460395,0.00006226182,0.000003421751,0.00005611096,0.000059567734,0.00056399085],"category_scores_gemma":[0.0000048548122,0.00007938021,0.0000318504,0.00006325646,0.00006375512,0.00007677594,0.000034405806,0.00009725923,0.0000011606354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018683828,0.00089174265,0.10113909,0.00017635683,0.00004728984,9.960121e-9,0.000045200617,0.000019976582,0.8972787,0.000053807154,0.0001603602,0.00016874242],"study_design_scores_gemma":[0.0001325505,0.000015450949,0.007987414,0.000097132295,0.000107251115,9.573861e-7,0.000059865746,0.0005496712,0.9908725,0.00008012162,0.00001801669,0.0000790412],"about_ca_topic_score_codex":0.00021692716,"about_ca_topic_score_gemma":0.0000119765045,"teacher_disagreement_score":0.09359379,"about_ca_system_score_codex":0.000030783573,"about_ca_system_score_gemma":0.000013196609,"threshold_uncertainty_score":0.6175304},"labels":[],"label_agreement":null},{"id":"W2048288273","doi":"10.1371/journal.pone.0053112","title":"Automatic Peak Selection by a Benjamini-Hochberg-Based Algorithm","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"King Abdullah University of Science and Technology; Hong Kong University of Science and Technology; University of Toronto; York University","keywords":"Benchmark (surveying); False discovery rate; Selection (genetic algorithm); Set (abstract data type); Multiple comparisons problem; Computer science; Algorithm; Pattern recognition (psychology); Mathematics; Artificial intelligence; Statistics; Chemistry","score_opus":0.014217778798935907,"score_gpt":0.2277980809177192,"score_spread":0.2135803021187833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048288273","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8593118,0.00015670995,0.12923557,0.001353764,0.000008507841,0.0008040955,0.00009124496,0.00180381,0.0072344868],"genre_scores_gemma":[0.28098536,0.000035433324,0.71327287,0.00021944326,0.00010657832,0.0020369268,0.00015249538,0.000054301134,0.0031365964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992379,0.000005837638,0.00018183113,0.00021634613,0.00016518142,0.0001929331],"domain_scores_gemma":[0.9994598,0.000035915837,0.00009103826,0.00025401972,0.00008557007,0.00007365116],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002908452,0.00012016897,0.00014197442,0.000025132365,0.00009956223,0.000036021353,0.00013838688,0.00009715819,0.0024124496],"category_scores_gemma":[0.000017765728,0.00012740593,0.000035339388,0.00011787789,0.000027497235,0.00009271771,0.000023131397,0.00016675919,0.00019938267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012647216,0.0008998744,0.00014365572,0.00010831324,0.00004377797,1.9774438e-7,0.000015229922,0.000002071309,0.9564163,0.00007827255,0.002895161,0.039395873],"study_design_scores_gemma":[0.00017784536,0.000023297593,0.000027985752,0.00006728972,0.00003278731,7.3017094e-7,0.000008545987,0.15717103,0.83974135,0.0019262905,0.0006649169,0.00015791002],"about_ca_topic_score_codex":0.000057195164,"about_ca_topic_score_gemma":0.0000016030976,"teacher_disagreement_score":0.5840373,"about_ca_system_score_codex":0.000079513724,"about_ca_system_score_gemma":0.0000227726,"threshold_uncertainty_score":0.99849945},"labels":[],"label_agreement":null},{"id":"W2048512727","doi":"10.1021/ac061959t","title":"Proteomic Complex Detection Using Sedimentation","year":2007,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institute for Theoretical Astrophysics; National Science Foundation","keywords":"Chemistry; Sedimentation; Computational biology; Environmental chemistry; Sediment; Geology; Geomorphology","score_opus":0.03226221749972085,"score_gpt":0.33328198811692833,"score_spread":0.30101977061720747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048512727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80281144,0.0000040358977,0.1776172,0.000041011263,0.0000052600026,0.00007872071,0.0000065637146,0.00015729142,0.01927848],"genre_scores_gemma":[0.97762394,0.0000022728366,0.021465601,0.000048178874,0.00019287904,0.000019580328,0.00004091385,0.000020482645,0.0005861442],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990857,0.0000018293948,0.00026230596,0.0002584936,0.00014492695,0.00024669903],"domain_scores_gemma":[0.99946743,0.000025388345,0.00009299268,0.00024891528,0.000055002904,0.00011028116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011271296,0.0001262276,0.00011590075,0.000016563823,0.00012043986,0.000021329102,0.00011946006,0.00013967122,0.0008353493],"category_scores_gemma":[0.000028195005,0.00013735215,0.00007080154,0.00014250338,0.00007246402,0.000059952235,0.00004015651,0.00021337558,0.00001406535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019538644,0.000035504636,0.00063601066,0.000046713645,0.000011267965,0.0000025752076,0.0000057462203,0.000031699037,0.99765104,0.00012946423,0.000016898439,0.0014135117],"study_design_scores_gemma":[0.0001680599,0.0000033429824,0.00011194658,0.000011873941,0.00002693266,0.000022064703,0.000035515368,0.018415103,0.97825164,0.0012901268,0.0015052604,0.00015811564],"about_ca_topic_score_codex":0.000022127571,"about_ca_topic_score_gemma":9.0633506e-7,"teacher_disagreement_score":0.17481253,"about_ca_system_score_codex":0.00019607572,"about_ca_system_score_gemma":0.000018995932,"threshold_uncertainty_score":0.91464895},"labels":[],"label_agreement":null},{"id":"W2048832221","doi":"10.14740/wjon901w","title":"Serum Protein Pattern Could Predict the Therapeutic Effect of First-Line Pemetrexed/Cisplatin Chemotherapy in Patients With Lung Adenocarcinoma","year":2015,"lang":"en","type":"article","venue":"World Journal of Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Education of Zhejiang Province; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Medicine; Pemetrexed; Cisplatin; Oncology; Internal medicine; Regimen; Chemotherapy; Adenocarcinoma; Lung cancer; Lung; Cancer","score_opus":0.011813544764813612,"score_gpt":0.28484988627827434,"score_spread":0.27303634151346073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048832221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925607,0.00035429417,0.0040699188,0.0016382415,0.000028843642,0.0005564961,0.000013504474,0.000014275491,0.0007637673],"genre_scores_gemma":[0.9978999,0.000021340387,0.001627491,0.00010737637,0.000092722636,0.00007349532,0.0000039691367,0.00002718754,0.00014653875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882734,0.000072307215,0.00051395164,0.00013516365,0.0002549195,0.00019629701],"domain_scores_gemma":[0.9985527,0.00018517187,0.0007437273,0.00026241055,0.0001812376,0.00007477324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922317,0.00016233353,0.00040300054,0.00010837933,0.000041206808,0.000008043191,0.00034983412,0.00009589777,0.000094910734],"category_scores_gemma":[0.000030097,0.00009705857,0.0000715902,0.0002433773,0.000101142985,0.00006720787,0.000040787752,0.00052815996,8.0717285e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014001433,0.00031871893,0.96043164,0.00007323138,0.000083447136,0.000009952274,0.00019645516,0.00020595417,0.0011011636,0.00003997844,0.00020058687,0.03593875],"study_design_scores_gemma":[0.06698432,0.023286423,0.49856275,0.002035084,0.0006029771,0.0002098321,0.00028005833,0.0050166743,0.33442748,0.0048388354,0.062469866,0.0012856976],"about_ca_topic_score_codex":0.000014261535,"about_ca_topic_score_gemma":0.00009001944,"teacher_disagreement_score":0.46186885,"about_ca_system_score_codex":0.0002419111,"about_ca_system_score_gemma":0.00009881009,"threshold_uncertainty_score":0.39579335},"labels":[],"label_agreement":null},{"id":"W2048839385","doi":"10.1038/nrm2208","title":"Analysis of protein complexes using mass spectrometry","year":2007,"lang":"en","type":"review","venue":"Nature Reviews Molecular Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":698,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"National Heart, Lung, and Blood Institute","keywords":"Mass spectrometry; Chemistry; Proteomics; Supramolecular chemistry; Fractionation; Protein–protein interaction; Characterization (materials science); Chromatography; Computational biology; Biochemistry; Nanotechnology; Molecule; Biology; Materials science; Organic chemistry","score_opus":0.03775440111769055,"score_gpt":0.38554652977475073,"score_spread":0.34779212865706016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048839385","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010625925,0.90246207,0.09132912,0.0000023322414,0.00001694898,0.0011200759,0.00022054752,0.00004961207,0.004788643],"genre_scores_gemma":[0.00001674086,0.8215581,0.17701294,0.00002848347,0.000055382407,0.00018381694,0.0010037469,0.000057723184,0.00008305991],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970936,0.00015818283,0.001391691,0.00080916146,0.00013229695,0.00041503942],"domain_scores_gemma":[0.99669445,0.0000867909,0.0017684929,0.0012676058,0.00009172554,0.000090942216],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00044756042,0.00062118296,0.003973683,0.0006865535,0.000053409007,0.000010200879,0.0007857505,0.0020108782,0.00030824222],"category_scores_gemma":[0.0000772988,0.0004957434,0.0020884657,0.0022941136,0.00013613948,0.00001649699,0.00015114249,0.0016906416,0.000011013085],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031604543,0.00007933591,0.000003896047,0.026225852,0.001035936,0.00001282284,0.0000017704224,0.0000024947278,0.24634269,0.003794282,0.000010464717,0.7224873],"study_design_scores_gemma":[0.000042116662,0.0000132660725,1.4100531e-8,0.0024499195,0.004617583,0.0000046225446,7.2306653e-7,0.0000137857005,0.024692826,0.0004079,0.96733797,0.0004192721],"about_ca_topic_score_codex":0.0000071063914,"about_ca_topic_score_gemma":0.000001031868,"teacher_disagreement_score":0.96732754,"about_ca_system_score_codex":0.000179859,"about_ca_system_score_gemma":0.00009425603,"threshold_uncertainty_score":0.9997494},"labels":[],"label_agreement":null},{"id":"W2048883607","doi":"10.1371/journal.pone.0031868","title":"The Potential Role of ORM2 in the Development of Colorectal Cancer","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Shandong University","keywords":"Colorectal cancer; Biomarker; Proteomics; Cancer; Western blot; Proteome; Chemistry; Cancer research; Biology; Molecular biology; Medicine; Bioinformatics; Internal medicine; Biochemistry; Gene","score_opus":0.01999469621729814,"score_gpt":0.25611386473462916,"score_spread":0.23611916851733103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048883607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997099,0.0002967678,0.00014633736,0.00008495621,0.0000021344194,0.00010847618,0.000008517854,0.000008559768,0.0022452965],"genre_scores_gemma":[0.98033565,0.00007186025,0.019210111,0.0000056843837,0.000024586128,0.00029332997,0.0000031515824,0.0000047721687,0.000050845636],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960095,0.000004482962,0.00014422057,0.000042236097,0.0001101512,0.000097972705],"domain_scores_gemma":[0.99974465,0.000028289742,0.00007685242,0.000112017486,0.000026769132,0.000011407761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094364084,0.000037392474,0.0000632632,0.0000061745586,0.00004934881,0.000002266463,0.00015558176,0.00002752489,0.000043205924],"category_scores_gemma":[0.000009158726,0.000023248454,0.0000141536375,0.00004918651,0.000034002773,0.000020615804,0.000034385324,0.000073291245,0.0000012535845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001310864,0.00032565635,0.00429479,0.000019437912,0.000020337317,1.525486e-8,0.00064251624,0.0000019333079,0.99150556,0.0008140451,0.000005424396,0.0023571565],"study_design_scores_gemma":[0.000054302345,0.00000280466,0.0015636205,0.000024483197,0.000010151067,1.4504342e-7,0.00027068582,0.00004544659,0.9967593,0.00085053523,0.0003878236,0.000030711348],"about_ca_topic_score_codex":0.0000186082,"about_ca_topic_score_gemma":0.000029017006,"teacher_disagreement_score":0.019063774,"about_ca_system_score_codex":0.000021767151,"about_ca_system_score_gemma":0.000026970523,"threshold_uncertainty_score":0.09480444},"labels":[],"label_agreement":null},{"id":"W2049144531","doi":"10.1002/elps.200500921","title":"A simple protocol for protein extraction of recalcitrant fruit tissues suitable for 2‐DE and MS analysis","year":2006,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Chromatography; Extraction (chemistry); Phenol extraction; Flesh; Protein purification; Acetone; Chemistry; Spots; Biology; Biochemistry; Botany; Food science","score_opus":0.01192022496172054,"score_gpt":0.3249396255787025,"score_spread":0.31301940061698197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049144531","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13613316,0.00006898379,0.7874895,0.00021006865,0.0000012691238,0.07511116,0.00020038744,0.00014180243,0.0006437117],"genre_scores_gemma":[0.18263276,0.000008480217,0.18269196,0.0000070206233,0.00008451759,0.6327721,0.00007993393,0.000032634256,0.001690578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991568,0.0000065025174,0.00025487534,0.0002474026,0.000072487914,0.00026194568],"domain_scores_gemma":[0.9994422,0.00006165863,0.00016751916,0.00020482404,0.00009164922,0.000032140993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011977335,0.00011498125,0.0002171023,0.0000686672,0.0001305004,0.000020975862,0.000089593734,0.000107326065,0.00007533714],"category_scores_gemma":[0.000031118943,0.00011248142,0.00012448952,0.00021890602,0.000028283039,0.00004797011,0.000010878952,0.000070521746,1.5762056e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022911203,0.00008864544,0.00027884,0.00020481949,0.000057181856,1.27338e-7,0.000010384978,0.00003361126,0.99448705,0.002909021,0.0004898893,0.0012113432],"study_design_scores_gemma":[0.00038035464,0.00008938887,0.00007211021,0.000013102058,0.000106445776,0.000001002647,0.0000056533627,0.0011997252,0.9031704,0.040975075,0.05386928,0.000117438256],"about_ca_topic_score_codex":0.0003291374,"about_ca_topic_score_gemma":0.000103926985,"teacher_disagreement_score":0.6047975,"about_ca_system_score_codex":0.00007763503,"about_ca_system_score_gemma":0.000032506086,"threshold_uncertainty_score":0.45868593},"labels":[],"label_agreement":null},{"id":"W2050056464","doi":"10.1586/epr.11.67","title":"Intact proteome fractionation strategies compatible with mass spectrometry","year":2011,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Proteome; Fractionation; Mass spectrometry; Chromatography; Proteomics; Chemistry; Biochemistry","score_opus":0.03706493062633085,"score_gpt":0.3637305606335515,"score_spread":0.32666563000722065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050056464","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.0220343e-7,0.83762145,0.15000077,0.000028365936,0.000028347895,0.0032330991,0.000098375254,0.0001760935,0.008812693],"genre_scores_gemma":[6.266512e-7,0.5927848,0.4024186,0.000027789365,0.00014935338,0.0040949997,0.00029249737,0.00009293486,0.00013835651],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971697,0.00006341489,0.0013584674,0.00070626615,0.00034441045,0.00035775357],"domain_scores_gemma":[0.99620175,0.000074892334,0.002133023,0.0012162034,0.0002614361,0.000112689995],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002851872,0.00074262294,0.002372468,0.00019232911,0.00011571674,0.000043665666,0.000807473,0.0004083955,0.0012237102],"category_scores_gemma":[0.000059091355,0.00056110276,0.00052500365,0.0005938635,0.00018209791,0.0003356882,0.00010848977,0.0009130295,0.000046965146],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050409795,0.000462114,0.000001960559,0.6370543,0.0005641234,0.00000935257,0.000104548075,0.0000011192158,0.0066714487,0.021904822,0.0011986106,0.33197716],"study_design_scores_gemma":[0.00011176931,0.00009913833,6.7587145e-8,0.1401874,0.00024244901,0.000057383106,0.000033727792,0.0000028791533,0.007994344,0.001609269,0.84900635,0.0006552263],"about_ca_topic_score_codex":0.00003766006,"about_ca_topic_score_gemma":0.00000184525,"teacher_disagreement_score":0.84780777,"about_ca_system_score_codex":0.00035071935,"about_ca_system_score_gemma":0.0006187328,"threshold_uncertainty_score":0.9996893},"labels":[],"label_agreement":null},{"id":"W2050408194","doi":"10.3109/13813455.2013.812122","title":"2-dimensional gel electrophoresis reloaded","year":2013,"lang":"en","type":"editorial","venue":"Archives of Physiology and Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Electrophoresis Solutions (Canada)","funders":"","keywords":"Chemistry; Electrophoresis; Chromatography","score_opus":0.0032316545041378452,"score_gpt":0.22933942538649615,"score_spread":0.2261077708823583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050408194","genre_codex":"empirical","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91692114,0.0072732274,0.00023747403,0.00032591622,0.051661775,0.0006272163,0.0027506843,0.0004984319,0.019704122],"genre_scores_gemma":[0.1973374,0.0112952925,0.060509652,0.00010066851,0.69880426,0.0010140829,0.011006164,0.0002489372,0.019683557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987718,0.000010032443,0.00029687068,0.0005415006,0.00012420588,0.00025560174],"domain_scores_gemma":[0.99857926,0.00051861524,0.0003004433,0.00047080507,0.000053407835,0.00007744688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000022262207,0.00028808523,0.00040635324,0.000029577253,0.00009255115,0.000005948402,0.0003362278,0.0007250547,0.00023336192],"category_scores_gemma":[0.00009855249,0.00026500208,0.00012551821,0.000035731973,0.0005325861,0.000018025621,0.00024032783,0.0007466181,0.0000047116605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006728915,0.000046514942,0.0000025057748,0.00043849697,0.0000551489,4.761895e-7,0.0000074510226,5.4857003e-7,0.82194555,0.000049446437,0.17682916,0.00055742665],"study_design_scores_gemma":[0.00019431816,0.000023942144,0.000006289839,0.000111590554,0.000034100267,0.0000022566373,0.0000049079017,0.000024450293,0.9216842,0.015061159,0.062602125,0.000250683],"about_ca_topic_score_codex":0.000024131426,"about_ca_topic_score_gemma":2.353427e-7,"teacher_disagreement_score":0.71958375,"about_ca_system_score_codex":0.000012142863,"about_ca_system_score_gemma":0.00012071007,"threshold_uncertainty_score":0.9999802},"labels":[],"label_agreement":null},{"id":"W2050591589","doi":"10.1016/j.yjmcc.2006.03.380","title":"A86. A proteomic approach for the investigation of myocardial protein changes in sepsis","year":2006,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sepsis; Heart failure; Medicine; Intensive care medicine; Facet (psychology); Intensive care; Cardiology; Bioinformatics; Internal medicine; Biology; Psychology","score_opus":0.010031998063024652,"score_gpt":0.22449714670692397,"score_spread":0.21446514864389932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050591589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7112422,0.00088155206,0.28689596,0.0002667163,0.000008638239,0.00037757843,0.00000813766,0.000004754583,0.00031449058],"genre_scores_gemma":[0.9729917,0.00004698314,0.026503555,0.000023180428,0.00015022908,0.00023664665,0.000011563984,0.0000128027405,0.000023322073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993488,0.000040172115,0.0002887718,0.00011611507,0.00008504813,0.000121055185],"domain_scores_gemma":[0.99943703,0.000030475474,0.0002775801,0.00014668594,0.000084108266,0.000024113288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003336448,0.00009160764,0.00027520038,0.000055725992,0.000037316233,0.0000067834994,0.00012514196,0.00012085518,0.0000015671401],"category_scores_gemma":[0.000024247505,0.000068467016,0.0001418406,0.00007089058,0.00010833469,0.000021846223,0.00002782724,0.0001737086,4.564414e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004521117,0.000009312186,0.0010811382,0.000058478112,0.000041344087,0.000006206576,0.000022535081,0.0011917988,0.9961688,0.00096592715,0.000031428848,0.00037785037],"study_design_scores_gemma":[0.00046643394,0.000062836065,0.00014277891,0.00002136996,0.000059345057,0.00006194238,0.00005107245,0.0004246097,0.9895683,0.008609618,0.00045518202,0.000076538054],"about_ca_topic_score_codex":0.000014322975,"about_ca_topic_score_gemma":0.0000010467347,"teacher_disagreement_score":0.26174954,"about_ca_system_score_codex":0.000023291797,"about_ca_system_score_gemma":0.00003439198,"threshold_uncertainty_score":0.27920038},"labels":[],"label_agreement":null},{"id":"W2050787616","doi":"10.1016/j.jasms.2004.11.014","title":"ZoomQuant: An application for the quantitation of stable isotope labeled peptides","year":2005,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Mass spectrometry; Peptide; Isobaric labeling; Quantitative proteomics; Isotope; Isotopic labeling; Analytical Chemistry (journal); Chromatography; Ion trap; Abundance (ecology); Resolution (logic); Mass spectrum; Natural abundance; Tandem mass spectrometry; Proteomics; Biological system; Protein mass spectrometry; Biochemistry; Artificial intelligence; Computer science","score_opus":0.016009136627918127,"score_gpt":0.31069587361747625,"score_spread":0.2946867369895581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050787616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3225191,0.00021990374,0.6745971,0.002135195,0.000015236105,0.00036400976,0.000056921483,0.000018353732,0.00007417442],"genre_scores_gemma":[0.5895271,0.00020482592,0.40967762,0.00013070783,0.00023975775,0.000071604445,0.0000043050904,0.000020199739,0.00012389389],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903107,0.000007817216,0.00044526366,0.00012695753,0.00019515339,0.000193716],"domain_scores_gemma":[0.99744177,0.0003662545,0.001510002,0.00037584428,0.00026457716,0.000041548396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000550511,0.00011048345,0.00025165663,0.000025727304,0.00022500899,0.000020869362,0.0005419691,0.00003985711,0.000010943691],"category_scores_gemma":[0.00006896382,0.00007132127,0.0005692898,0.0003445904,0.00016545008,0.0001479524,0.0000277202,0.0001909171,3.099145e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010519436,0.00009668037,0.00040368788,0.00004026998,0.00011559189,1.1073337e-8,0.00012665053,0.0003191578,0.9856995,0.0065916316,0.0008323528,0.005669283],"study_design_scores_gemma":[0.00066743325,0.0003274646,0.00048824228,0.000029567544,0.00022496562,0.000009877034,0.003378437,0.0076434426,0.9395084,0.01733486,0.030205613,0.00018169136],"about_ca_topic_score_codex":0.000016885124,"about_ca_topic_score_gemma":0.0000057871066,"teacher_disagreement_score":0.26700798,"about_ca_system_score_codex":0.0001697539,"about_ca_system_score_gemma":0.000054348784,"threshold_uncertainty_score":0.2908397},"labels":[],"label_agreement":null},{"id":"W2051319314","doi":"10.1016/j.jprot.2014.04.018","title":"PeptidePicker: A scientific workflow with web interface for selecting appropriate peptides for targeted proteomics experiments","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Genome British Columbia; Genome Canada","keywords":"Computer science; UniProt; Workflow; Proteome; Proteomics; Mascot; Quantitative proteomics; Software; Human proteome project; Computational biology; Data mining; Bioinformatics; Database; Chemistry; Biology; Biochemistry; Programming language","score_opus":0.016770183479607365,"score_gpt":0.28956789241603675,"score_spread":0.2727977089364294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051319314","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42040142,0.000044787077,0.5779556,0.00014580626,0.000061550476,0.0012306587,0.000026925807,0.00005421173,0.00007901021],"genre_scores_gemma":[0.35031828,0.000007513477,0.6479463,0.00002187382,0.00031000585,0.0008871819,0.000011249021,0.000069438676,0.00042811868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980359,0.00002034548,0.00079417945,0.00041154292,0.00026252912,0.00047547725],"domain_scores_gemma":[0.9972457,0.00012850587,0.001270883,0.00040664064,0.0007872601,0.00016095278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009028579,0.00030528632,0.00046296197,0.00013445082,0.00045162096,0.00023667075,0.0005475044,0.00017216484,0.000012630747],"category_scores_gemma":[0.00035429257,0.00025565925,0.00022966946,0.00020644524,0.00014752158,0.00029641247,0.00007274446,0.00042657118,0.0000017022029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075127336,0.00013125165,0.000217795,0.00020506966,0.00007494141,3.601186e-7,0.00026958293,0.0009083983,0.99483687,0.00047159463,0.00026815757,0.0018646998],"study_design_scores_gemma":[0.0019204143,0.0004081565,0.0000024886815,0.00031962278,0.00005867508,0.00005033479,0.00017630514,0.01122722,0.9664113,0.011531879,0.007560534,0.0003330954],"about_ca_topic_score_codex":0.0000020191558,"about_ca_topic_score_gemma":0.000004849818,"teacher_disagreement_score":0.07008314,"about_ca_system_score_codex":0.00022299206,"about_ca_system_score_gemma":0.00026099916,"threshold_uncertainty_score":0.99998957},"labels":[],"label_agreement":null},{"id":"W2052284965","doi":"10.1109/memea.2010.5480205","title":"Analysis of redundant peaks in LC-MS/MS datasets","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Replicate; Leverage (statistics); Mass spectrometry; Mass spectrum; Spectral line; Analytical Chemistry (journal); Computer science; Chemistry; Chromatography; Artificial intelligence; Mathematics; Physics; Statistics","score_opus":0.010222975660837534,"score_gpt":0.3000879972768394,"score_spread":0.28986502161600186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052284965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9387792,0.000011125167,0.013234434,0.00023520061,0.000008413555,0.00009336595,0.0007822029,0.000091449816,0.046764635],"genre_scores_gemma":[0.9447303,0.00001801687,0.05384494,0.000027019521,0.000015348607,0.000046161094,0.00068325194,0.0000074114764,0.00062759727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994448,0.000002037498,0.00020794061,0.0001755043,0.00006750278,0.000102206286],"domain_scores_gemma":[0.99925715,0.00002494777,0.00007514029,0.0005879927,0.000019562625,0.000035205372],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000070195834,0.00006528539,0.00014792716,0.00008229991,0.000021123968,0.0000068178715,0.00021027349,0.000070902075,0.0021240897],"category_scores_gemma":[0.0000208305,0.000059555332,0.0000566276,0.00033188722,0.00004264866,0.000041246334,0.000067293964,0.00018049667,0.000005010848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055416017,0.00008998816,0.0061719404,0.0000124121525,0.00005202161,0.0000010903337,0.000023927196,0.000041547104,0.9823752,0.008470944,0.0006735176,0.002081869],"study_design_scores_gemma":[0.00012568946,0.000004010755,0.0013631444,0.000006241037,0.00010018737,0.0000013367643,0.000027702785,0.0033249161,0.95520407,0.002657634,0.03704623,0.00013881274],"about_ca_topic_score_codex":0.0003511904,"about_ca_topic_score_gemma":0.0008103497,"teacher_disagreement_score":0.046137035,"about_ca_system_score_codex":0.000010453371,"about_ca_system_score_gemma":0.0000125940305,"threshold_uncertainty_score":0.9987881},"labels":[],"label_agreement":null},{"id":"W2052438262","doi":"10.1002/pmic.201100065","title":"Phosphoproteome profile of <i><scp>F</scp>usarium graminearum</i> grown in vitro under nonlimiting conditions","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Phosphorylation; Ribosomal protein; Chemistry; In vitro; Biochemistry; Elongation factor; Molecular biology; Biology; RNA; Gene","score_opus":0.01460038229835742,"score_gpt":0.2638488989052775,"score_spread":0.2492485166069201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052438262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9332482,0.00021795175,0.04581794,0.00015495995,0.000057695077,0.0014092943,0.00061609666,0.00027865887,0.018199183],"genre_scores_gemma":[0.772649,0.000034948123,0.22439611,0.00009323031,0.00015610059,0.0016792038,0.00031164373,0.00006465794,0.0006151085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814963,0.00001954979,0.0005963214,0.00034602618,0.0002125633,0.00067591155],"domain_scores_gemma":[0.99862635,0.00016946052,0.00038783732,0.00054599106,0.000111511355,0.00015885556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002680876,0.00028058313,0.00035676293,0.00010712075,0.00013813915,0.000026986025,0.00034464608,0.00026351173,0.000071146365],"category_scores_gemma":[0.00018296031,0.00030530742,0.00012683657,0.00037790302,0.00016519192,0.0003122036,0.00017643959,0.00055032916,0.000033310207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014773881,0.0002991017,0.0021044342,0.00014361671,0.000016214348,8.2930757e-7,0.00019255905,0.000070769864,0.99180907,0.0049609956,0.000098868324,0.0002887836],"study_design_scores_gemma":[0.00045219806,0.00001479941,0.00023929318,0.000049196457,0.000016859276,0.000012103162,0.0003837524,0.00079881155,0.9906147,0.00571468,0.0015454213,0.00015815074],"about_ca_topic_score_codex":0.00006425835,"about_ca_topic_score_gemma":0.0000022918427,"teacher_disagreement_score":0.17857818,"about_ca_system_score_codex":0.00016001277,"about_ca_system_score_gemma":0.000073665826,"threshold_uncertainty_score":0.9999399},"labels":[],"label_agreement":null},{"id":"W2053089337","doi":"10.1017/s1462399410001614","title":"Mass spectrometry-based proteomics in biomedical research: emerging technologies and future strategies","year":2010,"lang":"en","type":"review","venue":"Expert Reviews in Molecular Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Data science; Computer science; Computational biology; Mass spectrometry; Chemistry; Biology; Chromatography","score_opus":0.058853749050398224,"score_gpt":0.4275854938252355,"score_spread":0.3687317447748373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053089337","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006575129,0.9715693,0.022878116,0.0020383557,0.000058688904,0.0021168096,0.000009489332,0.00016772255,0.0011549357],"genre_scores_gemma":[0.00000199616,0.763668,0.23217775,0.000043219905,0.00030545273,0.003600112,0.000113354006,0.000071932125,0.000018183862],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962583,0.00019664297,0.0014221115,0.0009717684,0.0004980604,0.00065310166],"domain_scores_gemma":[0.9979238,0.00017130103,0.00042729577,0.0013035481,0.000057556368,0.00011652454],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017935601,0.0006408246,0.0023950695,0.0010980284,0.00008524388,0.00003614097,0.0009536357,0.001180308,0.00013828825],"category_scores_gemma":[0.0006891469,0.00046075622,0.00019199982,0.0018927839,0.00091324106,0.000063539956,0.0002205025,0.0039853747,0.000006123136],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035358603,0.00006257587,7.634919e-7,0.009938098,0.000010138033,0.00013054766,0.00006577233,7.667437e-8,0.044153057,0.0039844112,0.00020062886,0.9414504],"study_design_scores_gemma":[0.00026325686,0.000040965308,4.218231e-8,0.025653565,0.000027139662,0.000030911626,0.00047757357,0.000013177114,0.0013992517,0.004321611,0.96737707,0.0003954542],"about_ca_topic_score_codex":0.000033227072,"about_ca_topic_score_gemma":0.000011196146,"teacher_disagreement_score":0.96717644,"about_ca_system_score_codex":0.00026847777,"about_ca_system_score_gemma":0.00026734654,"threshold_uncertainty_score":0.9997844},"labels":[],"label_agreement":null},{"id":"W2053192132","doi":"10.1007/s10555-008-9139-6","title":"Practical approaches to proteomic biomarkers within prostate cancer radiotherapy trials","year":2008,"lang":"en","type":"review","venue":"Cancer and Metastasis Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Prostate cancer; Radiation therapy; Medicine; Oncology; Cancer; Prostate; Clinical trial; Internal medicine","score_opus":0.3743815969016987,"score_gpt":0.4629461511949076,"score_spread":0.08856455429320892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053192132","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000047160893,0.98552823,0.0043724333,0.00049308257,0.00009766348,0.008046405,0.0010297544,0.00011623061,0.00031151072],"genre_scores_gemma":[9.554099e-8,0.8068135,0.1442329,0.00014517122,0.0003886682,0.047186818,0.000110460685,0.00013718473,0.0009852224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953971,0.00037734132,0.0022434706,0.0012332735,0.00023812047,0.0005106963],"domain_scores_gemma":[0.99648994,0.00020805917,0.00192127,0.00093463436,0.00005138223,0.00039468778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00134703,0.000955083,0.0052219527,0.00016022201,0.00022117786,0.000096391836,0.0003971316,0.00036840807,0.00037802683],"category_scores_gemma":[0.00033444673,0.00065310794,0.0010107567,0.0005507732,0.00016461678,0.00013718214,0.00012161925,0.0006755891,0.00001537138],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003534819,0.000046948393,0.0000016663114,0.014253869,0.0005655655,0.0000033940003,0.00008073894,0.0000014368459,0.00009673311,0.0001929,0.011732649,0.9729887],"study_design_scores_gemma":[0.00026553246,0.000021553788,4.672164e-8,0.009633793,0.0013402295,0.00006954279,0.000007903964,0.0000069442167,0.0009035232,0.00004603342,0.98696876,0.0007361295],"about_ca_topic_score_codex":0.00007260982,"about_ca_topic_score_gemma":0.000009953233,"teacher_disagreement_score":0.9752361,"about_ca_system_score_codex":0.00045845445,"about_ca_system_score_gemma":0.00076037575,"threshold_uncertainty_score":0.999592},"labels":[],"label_agreement":null},{"id":"W2053478260","doi":"10.1126/stke.2001.103.pe33","title":"Cell Signalling - The Proteomics of It All","year":2001,"lang":"en","type":"article","venue":"Science s STKE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Computational biology; Proteomics; DNA microarray; Biology; Signalling; Resource (disambiguation); Data science; Computer science; Gene; Gene expression; Genetics; Cell biology","score_opus":0.02283423142931736,"score_gpt":0.2963228774504769,"score_spread":0.2734886460211596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053478260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8112606,0.00006019658,0.08900229,0.0014934291,0.000020882668,0.00031870822,0.0000111610825,0.00009210364,0.09774066],"genre_scores_gemma":[0.9422761,0.00006993645,0.05628755,0.00012801388,0.00003209432,0.00006492757,0.0000011803482,0.00000648697,0.0011336826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927354,0.0000023690473,0.0001436927,0.00018784085,0.00019424946,0.00019831263],"domain_scores_gemma":[0.9994275,0.000025221198,0.00010113731,0.00033269313,0.00007159715,0.0000418499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025863052,0.000062647494,0.000061291365,0.000021395364,0.00018520541,0.000025000927,0.0006269446,0.00002904685,0.00013800267],"category_scores_gemma":[0.000024251243,0.000044891145,0.000030708496,0.00028117513,0.00037634448,0.000095308504,0.00009334856,0.000119378084,0.000009826467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025695833,0.000020428093,0.00012889097,0.000006573957,6.6114416e-7,2.8805144e-7,0.00010561787,0.00018000574,0.9965222,0.002353218,0.00007994637,0.0005995913],"study_design_scores_gemma":[0.00004602455,0.000007690558,0.000008031113,0.000010161502,0.000003137183,0.0000030538213,0.00013959932,0.0014631818,0.97684515,0.009427086,0.011981867,0.0000650141],"about_ca_topic_score_codex":0.000018428245,"about_ca_topic_score_gemma":0.0000017526661,"teacher_disagreement_score":0.13101555,"about_ca_system_score_codex":0.000030503674,"about_ca_system_score_gemma":0.00007447819,"threshold_uncertainty_score":0.18306078},"labels":[],"label_agreement":null},{"id":"W2054016284","doi":"10.1021/ac800984n","title":"Practical Implementation of 2D HPLC Scheme with Accurate Peptide Retention Prediction in Both Dimensions for High-Throughput Bottom-Up Proteomics","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Chemistry; Chromatography; Formic acid; Peptide; Proteomics; High-performance liquid chromatography; Retention time; Analytical Chemistry (journal); Biochemistry","score_opus":0.03606503130323615,"score_gpt":0.34023451153013856,"score_spread":0.30416948022690243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054016284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9163866,0.000007467254,0.08132217,0.00046101623,0.000008864437,0.0005042465,0.0001784076,0.00010566935,0.001025567],"genre_scores_gemma":[0.8196967,0.000056003973,0.17827478,0.000024598425,0.000086526095,0.00037479476,0.0004236494,0.000033140474,0.0010297875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998382,0.000008360645,0.0005873558,0.00046370635,0.00024502736,0.0003135719],"domain_scores_gemma":[0.99890524,0.000101327656,0.0003025106,0.00040808655,0.00017636632,0.00010647725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001368243,0.00020688795,0.00028511666,0.00003131191,0.00012751536,0.000014040792,0.0001250385,0.0002137963,0.00023914028],"category_scores_gemma":[0.000104969586,0.00019935431,0.00009196837,0.00022770818,0.00017249929,0.00021682905,0.000056215442,0.0003695269,0.000002607916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043042284,0.00039719112,0.014602073,0.00046348848,0.000111547844,0.000012997828,0.000098756645,0.00009890184,0.9727452,0.008304479,0.0025885797,0.00014640288],"study_design_scores_gemma":[0.0015254929,0.000074895885,0.0007300796,0.00009399223,0.00009301527,0.00005593786,0.0003051134,0.0074257604,0.98609054,0.0028043617,0.00053007755,0.00027076062],"about_ca_topic_score_codex":0.00007571003,"about_ca_topic_score_gemma":0.000008109905,"teacher_disagreement_score":0.09695261,"about_ca_system_score_codex":0.00017286556,"about_ca_system_score_gemma":0.00019128673,"threshold_uncertainty_score":0.8129433},"labels":[],"label_agreement":null},{"id":"W2054215609","doi":"10.1016/j.aca.2006.12.054","title":"A study of reproducibility of guanidination–dimethylation labeling and liquid chromatography matrix-assisted laser desorption ionization mass spectrometry for relative proteome quantification","year":2007,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Chromatography; Proteome; Mass spectrometry; Coefficient of variation; Matrix (chemical analysis); Matrix-assisted laser desorption/ionization; Analytical Chemistry (journal); Peptide; Reproducibility; Repeatability; Desorption; Biochemistry","score_opus":0.026501613899981537,"score_gpt":0.320133797303852,"score_spread":0.2936321834038705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054215609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8950035,0.000012176336,0.10331977,0.00013179203,0.000009287228,0.0011873547,0.000035323694,0.000083283616,0.00021751509],"genre_scores_gemma":[0.90389806,0.000029161696,0.09572172,0.0000034668471,0.00003170805,0.00011642486,0.00013266056,0.000025423744,0.000041348183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979713,0.00003548302,0.00084360683,0.0007455024,0.00022821128,0.00017592039],"domain_scores_gemma":[0.99750584,0.00024723096,0.000828065,0.00091160694,0.00045557375,0.000051699903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013558522,0.000168579,0.00031148162,0.0003138516,0.00013869064,0.000016790565,0.00014398241,0.00014836868,0.000019956931],"category_scores_gemma":[0.00068324734,0.0001754132,0.00009094267,0.0009971749,0.000088004555,0.00023942425,0.00003883351,0.00014591547,3.8425586e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002683125,0.0005448526,0.0044611855,0.00016282879,0.00008693977,1.0654623e-7,0.00028463622,0.000010327735,0.9910243,0.0029935006,0.0000044364906,0.00015855637],"study_design_scores_gemma":[0.0006418007,0.00031793292,0.008709275,0.000060154216,0.0001894474,0.0000020597608,0.00041701744,0.0018384107,0.9786826,0.008947547,0.000016120506,0.00017764012],"about_ca_topic_score_codex":0.000014343448,"about_ca_topic_score_gemma":0.000011561791,"teacher_disagreement_score":0.012341722,"about_ca_system_score_codex":0.000084139996,"about_ca_system_score_gemma":0.000026001555,"threshold_uncertainty_score":0.7153142},"labels":[],"label_agreement":null},{"id":"W2054353708","doi":"10.1021/ac8009017","title":"Sequential Interval Motif Search: Unrestricted Database Surveys of Global MS/MS Data Sets for Detection of Putative Post-Translational Modifications","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Genomics Institute; Genome Canada","keywords":"Database search engine; Proteome; Chemistry; Computational biology; False positive paradox; Tandem mass spectrometry; Sequence database; Search engine; Data mining; Computer science; Mass spectrometry; Information retrieval; Artificial intelligence; Biochemistry; Biology; Chromatography; Gene","score_opus":0.10542928748791583,"score_gpt":0.3714334196807012,"score_spread":0.2660041321927854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054353708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4996639,0.000026133432,0.48080194,0.00014403921,0.0000069810458,0.0001727399,0.018110506,0.000057790974,0.0010159984],"genre_scores_gemma":[0.9728373,0.00002175708,0.018574402,0.0000062588742,0.00005809977,0.000044567,0.0083376,0.000017194408,0.00010277717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984842,0.00002686104,0.0005292024,0.00045815852,0.00028312116,0.00021847537],"domain_scores_gemma":[0.9981815,0.00022579965,0.00019441341,0.0007966437,0.00048034464,0.00012124902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023272731,0.00016655901,0.0002576249,0.000020539894,0.000108055734,0.000008688703,0.0005357626,0.00016196344,0.00014271717],"category_scores_gemma":[0.00030857825,0.00018109885,0.00012414252,0.00031744788,0.0003444416,0.00016068101,0.0001643165,0.00021283605,0.0000017736966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120788725,0.00037253884,0.001999243,0.0003067174,0.00014263258,0.0000026082412,0.00003640718,0.00037649967,0.9947741,0.00066662766,0.00008637586,0.0011154467],"study_design_scores_gemma":[0.00047891337,0.000020093197,0.0013525599,0.000027768388,0.00009160763,0.000024220695,0.00005017728,0.0713064,0.9252682,0.0010899403,0.0001111151,0.00017903214],"about_ca_topic_score_codex":0.00025316744,"about_ca_topic_score_gemma":0.0000136582075,"teacher_disagreement_score":0.47317347,"about_ca_system_score_codex":0.00007816381,"about_ca_system_score_gemma":0.00021703844,"threshold_uncertainty_score":0.73849964},"labels":[],"label_agreement":null},{"id":"W2054545832","doi":"10.1089/zeb.2009.0591","title":"Large-Scale Proteome Profile of the Zebrafish ( <i>Danio rerio</i> ) Gill for Physiological and Biomarker Discovery Studies","year":2009,"lang":"en","type":"article","venue":"Zebrafish","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Proteome; Zebrafish; Danio; Computational biology; Biomarker discovery; Proteomics; Context (archaeology); Metabolome; Metabolomics; Bioinformatics; Biochemistry; Gene","score_opus":0.023165770276278693,"score_gpt":0.29183340116592665,"score_spread":0.26866763088964796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054545832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98678607,0.00036260887,0.004535534,0.0025374054,0.00004396925,0.0015961147,0.0006576415,0.00020742841,0.00327325],"genre_scores_gemma":[0.9804617,0.00011886086,0.016147979,0.0006556402,0.00011433267,0.00079377845,0.000039027076,0.000025242498,0.0016434318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989068,0.000014327046,0.00029908842,0.00037412922,0.00012224224,0.00028342142],"domain_scores_gemma":[0.99913406,0.000060722286,0.00020404074,0.0004619026,0.00009577611,0.00004348565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012435642,0.00018675873,0.00030525555,0.000015429072,0.00022582027,0.000028751378,0.00027905518,0.00012436914,0.000026625512],"category_scores_gemma":[0.00010550144,0.00012473195,0.00013880944,0.0001331812,0.00017630844,0.00016441235,0.00017269843,0.00015094018,9.93209e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006911277,0.00021800575,0.00028956344,0.00016457759,0.00003856398,3.7047417e-7,0.00018459774,0.0000015863185,0.98357123,0.0038812421,0.010666876,0.00091424386],"study_design_scores_gemma":[0.0007620224,0.00011533435,0.0030631868,0.00014514463,0.000042379786,0.000006394497,0.00035699963,0.0001583985,0.91724086,0.054254454,0.023536893,0.0003179329],"about_ca_topic_score_codex":0.0000015798182,"about_ca_topic_score_gemma":0.0000030826966,"teacher_disagreement_score":0.0663304,"about_ca_system_score_codex":0.00002909244,"about_ca_system_score_gemma":0.000018368954,"threshold_uncertainty_score":0.5086421},"labels":[],"label_agreement":null},{"id":"W2055667905","doi":"10.3390/proteomes1020109","title":"Proteomic Workflows for Biomarker Identification Using Mass Spectrometry — Technical and Statistical Considerations during Initial Discovery","year":2013,"lang":"en","type":"review","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"IWK Health Centre; Dalhousie University; Nova Scotia Health Research Foundation; Natural Sciences and Engineering Research Council of Canada; National Research Centre","keywords":"Biomarker discovery; Identification (biology); Workflow; Proteomics; Biomarker; Computer science; Computational biology; Sample (material); Data science; Bioinformatics; Biology; Chemistry; Database; Chromatography","score_opus":0.06526404267698546,"score_gpt":0.38050987603553715,"score_spread":0.3152458333585517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055667905","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00081554655,0.41660804,0.5713285,0.000061191924,0.000053785,0.008962949,0.0016130226,0.0003762349,0.00018072544],"genre_scores_gemma":[0.00049382076,0.47963265,0.5011473,0.000006296088,0.00028456355,0.017597875,0.0004097038,0.00015149587,0.0002763236],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972891,0.00004700125,0.0010868139,0.00090670865,0.0002043134,0.00046606088],"domain_scores_gemma":[0.99814594,0.00031792643,0.00065030815,0.00065284735,0.0000993141,0.00013369414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020586581,0.00055416895,0.0010959249,0.00022912942,0.000450937,0.000468384,0.00024569707,0.00054360926,0.0003456656],"category_scores_gemma":[0.0003388937,0.00051045197,0.00025181044,0.00020556196,0.00025496358,0.0003515547,0.00017510651,0.0005525622,0.000018220446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069808135,0.00040445014,0.00003360526,0.080435514,0.0006904774,0.000029335803,0.000035855803,0.0000064407322,0.5508777,0.038729075,0.0004076704,0.3282801],"study_design_scores_gemma":[0.0038717852,0.00021749934,0.00007855611,0.039119855,0.006533942,0.0021961583,0.000095279,0.002309197,0.24047104,0.43154448,0.2633544,0.010207816],"about_ca_topic_score_codex":0.000009078214,"about_ca_topic_score_gemma":7.29654e-7,"teacher_disagreement_score":0.39281538,"about_ca_system_score_codex":0.0003261202,"about_ca_system_score_gemma":0.00023938667,"threshold_uncertainty_score":0.9997347},"labels":[],"label_agreement":null},{"id":"W2055807294","doi":"10.1016/j.chroma.2014.02.050","title":"Microbore liquid chromatography ultraviolet detection for quantification of total peptide amount and its application for assessing sample quality in shotgun proteome analysis of hundreds of cells","year":2014,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chromatography; Chemistry; Calibration curve; Detection limit; Proteome; Absorbance; Peptide; Sample preparation; Elution; Shotgun proteomics; Standard curve; Shotgun; Analyte; Proteomics; Biochemistry","score_opus":0.016473503624197704,"score_gpt":0.3096128943455716,"score_spread":0.2931393907213739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055807294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5970847,0.000092736394,0.40218273,0.000012131442,0.000007167955,0.00042224882,0.00018182614,0.000008985872,0.000007508659],"genre_scores_gemma":[0.93995893,0.00006831663,0.059637744,0.0000037101893,0.000027890703,0.00022374287,0.000059431717,0.000019573148,6.321661e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979852,0.00003957246,0.0013810404,0.00023683904,0.00019813681,0.00015921287],"domain_scores_gemma":[0.9961665,0.00035440057,0.0025456573,0.0002951368,0.0005814751,0.000056830166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008256492,0.00016274581,0.0006890149,0.0007742607,0.00006312534,0.0000148209865,0.0001761411,0.00016436323,0.000003075741],"category_scores_gemma":[0.00009704133,0.00016615348,0.00054961815,0.0010305089,0.000111684174,0.00019526108,0.000016342794,0.00012832585,1.6366435e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002233694,0.00023994637,0.0039521437,0.0008958696,0.00023269377,2.3391928e-8,0.00011600963,0.0004503308,0.99215764,0.0007043618,0.0000016468775,0.0010259529],"study_design_scores_gemma":[0.00064625934,0.0001975417,0.00876766,0.00018611414,0.0004007757,0.0000039410806,0.00016024229,0.0033763363,0.98469216,0.0013624971,0.000060091443,0.00014638137],"about_ca_topic_score_codex":0.000072977076,"about_ca_topic_score_gemma":0.000029981298,"teacher_disagreement_score":0.3428743,"about_ca_system_score_codex":0.000029882409,"about_ca_system_score_gemma":0.00003951763,"threshold_uncertainty_score":0.6775542},"labels":[],"label_agreement":null},{"id":"W2055808380","doi":"10.1016/j.jneumeth.2014.05.036","title":"A high-throughput semi-automated preparation for filtered synaptoneurosomes","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Throughput; Bottleneck; Computer science; Telecommunications","score_opus":0.041097136131939896,"score_gpt":0.42136813149618096,"score_spread":0.3802709953642411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055808380","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13870466,0.000013072056,0.86033356,0.00034283818,0.00019547412,0.00011815049,0.00000911396,0.00013760901,0.00014554197],"genre_scores_gemma":[0.33557507,0.000024339945,0.66378164,0.00024670237,0.0001287432,0.000030875493,0.0000011647528,0.000015904121,0.00019557099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988232,0.00008264836,0.00047588206,0.00023733449,0.00018330627,0.0001976107],"domain_scores_gemma":[0.99848515,0.000338879,0.00062623824,0.00029662982,0.00016567319,0.00008744225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079340284,0.00012288251,0.00024819703,0.00006805335,0.00015566872,0.000063527674,0.00040672396,0.000065173626,0.000009745989],"category_scores_gemma":[0.0011028558,0.00010408224,0.00011661959,0.00019652683,0.000094841766,0.0002707358,0.00005021674,0.00017856955,5.4341376e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043050662,0.00004234429,0.000022577544,0.0000198617,0.0000019526767,6.1102673e-7,0.00002006339,0.0012103705,0.99320745,0.0013801954,0.00033414204,0.0037173857],"study_design_scores_gemma":[0.00033276033,0.00027896572,0.00016772671,0.000024650899,0.000019178682,0.0000843105,0.0000053832146,0.0677795,0.89768344,0.009981435,0.023521032,0.00012163983],"about_ca_topic_score_codex":9.966355e-7,"about_ca_topic_score_gemma":7.78297e-8,"teacher_disagreement_score":0.19687042,"about_ca_system_score_codex":0.000034218407,"about_ca_system_score_gemma":0.00004259088,"threshold_uncertainty_score":0.42443505},"labels":[],"label_agreement":null},{"id":"W2056096734","doi":"10.1186/1471-2164-10-50","title":"Generation of a predicted protein database from EST data and application to iTRAQ analyses in grape (Vitis vinifera cv. Cabernet Sauvignon) berries at ripening initiation","year":2009,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; University of British Columbia","funders":"University of British Columbia; Genome British Columbia; Genome Canada","keywords":"Vitis vinifera; Biology; Ripening; Grape seed; Proteomics; Botany; Genetics; Food science; Gene","score_opus":0.07304409617227839,"score_gpt":0.330900671835248,"score_spread":0.2578565756629696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056096734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8136026,0.00016497879,0.18332903,0.00007815369,0.0000041288736,0.0005358571,0.002065098,0.000053803637,0.00016630984],"genre_scores_gemma":[0.77353275,0.00011261079,0.21708718,0.000047996553,0.000084736756,0.00019839023,0.008891441,0.000016189162,0.000028688195],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998754,0.000020517167,0.0004557747,0.0004984129,0.00012281403,0.0001484336],"domain_scores_gemma":[0.9987521,0.00004482517,0.00025512662,0.00081617694,0.000056242756,0.00007553429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011672114,0.00015578816,0.00021017694,0.00007977661,0.00009047038,0.00003535872,0.00028804023,0.00011093067,0.000025733174],"category_scores_gemma":[0.000065361135,0.00018160965,0.000020710397,0.00018324902,0.000033755146,0.0002381201,0.00018924384,0.000117834636,0.0000023838443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053985223,0.00005829978,0.0013918525,0.000024020483,0.0000074259356,5.4275444e-7,0.00026609312,0.000685889,0.9874645,0.0002449277,0.00005739937,0.009745103],"study_design_scores_gemma":[0.00045368183,0.000035749203,0.0037902754,0.00005780294,0.000041217565,0.0000031558536,0.00008945602,0.071064934,0.9214186,0.0014227593,0.0013793989,0.0002429402],"about_ca_topic_score_codex":0.0004825931,"about_ca_topic_score_gemma":0.0013869909,"teacher_disagreement_score":0.07037905,"about_ca_system_score_codex":0.00013964529,"about_ca_system_score_gemma":0.000075700744,"threshold_uncertainty_score":0.74058264},"labels":[],"label_agreement":null},{"id":"W2056233183","doi":"10.1002/pmic.200600211","title":"Integrating forward and reverse proteomics to unravel protein function","year":2006,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Proteomics; Computational biology; Function (biology); Protein function; Posttranslational modification; Biology; Proteogenomics; Computer science; Evolutionary biology; Genomics; Biochemistry","score_opus":0.025043446821425983,"score_gpt":0.31012038094798733,"score_spread":0.2850769341265613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056233183","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000116411364,0.49662238,0.48728374,0.000106936,0.000057202345,0.010892947,0.00045781207,0.0006459985,0.0038165888],"genre_scores_gemma":[0.0000048324728,0.45554227,0.52690154,0.00005047928,0.00038558932,0.0136735,0.0003286688,0.0002161972,0.002896889],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968449,0.000040980354,0.0011286425,0.0011359486,0.00025475668,0.0005948022],"domain_scores_gemma":[0.99775046,0.000055776993,0.00083130365,0.0009714723,0.00014905796,0.0002419],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032220272,0.0008778346,0.001450601,0.00021786534,0.000314739,0.00017708565,0.0005384141,0.00084924133,0.000051362513],"category_scores_gemma":[0.00017097368,0.0008165335,0.0003668343,0.00042947725,0.000095749034,0.00015643467,0.0004260443,0.0012872245,0.000064409425],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005298696,0.00011873561,0.000005039622,0.024618214,0.00011735371,0.0000064967085,0.00004720691,0.000006788834,0.0111132385,0.012008377,0.00093520456,0.95097035],"study_design_scores_gemma":[0.00019118581,0.000065894405,1.0573076e-7,0.008590472,0.0002700389,0.00004057296,0.000019104269,0.00006640058,0.0060676434,0.009423099,0.9742758,0.0009896316],"about_ca_topic_score_codex":0.00009821001,"about_ca_topic_score_gemma":0.000015859394,"teacher_disagreement_score":0.97334063,"about_ca_system_score_codex":0.00048343808,"about_ca_system_score_gemma":0.0002751511,"threshold_uncertainty_score":0.9994286},"labels":[],"label_agreement":null},{"id":"W2056499061","doi":"10.1038/nature13302","title":"A draft map of the human proteome","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2298,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Human proteome project; Proteome; Pseudogene; Computational biology; Proteogenomics; Human genome; Genome; Biology; Gene; Transcriptome; ENCODE; Proteomics; Genetics; Genomics; Gene expression","score_opus":0.004875348483752633,"score_gpt":0.27148088627790656,"score_spread":0.2666055377941539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056499061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8923782,0.00025637314,0.006425197,0.0074255215,0.000068616195,0.00068916613,0.00006314439,0.000334126,0.09235962],"genre_scores_gemma":[0.9879982,9.065527e-7,0.008220767,0.00017814523,0.000083778796,0.00007744686,0.000005027829,0.00000977333,0.003425991],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966496,0.0000036940894,0.0000792431,0.00009845275,0.000082311715,0.00007136293],"domain_scores_gemma":[0.9994918,0.000009772437,0.00007093484,0.00037987836,0.000032719603,0.000014866083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003854302,0.00005319187,0.00006123583,0.000006719478,0.00007086212,0.000004551909,0.0002571639,0.00040162684,0.000118382326],"category_scores_gemma":[0.000017270202,0.000035984274,0.000046394347,0.00004315763,0.000037531714,0.000015441008,0.000058079975,0.00089037867,0.000004342273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013341032,0.000019186975,0.0005229558,0.000058295693,0.0000032507369,4.6963763e-8,0.000024405994,0.0000023673183,0.9434035,0.05343134,0.0020667962,0.00046651845],"study_design_scores_gemma":[0.00006711972,0.0000030324775,0.00018029907,0.000026877406,0.000003487968,8.116266e-7,0.0000042737074,0.00001832933,0.80689985,0.033386286,0.15936203,0.00004762598],"about_ca_topic_score_codex":0.0000030113642,"about_ca_topic_score_gemma":0.0000017155683,"teacher_disagreement_score":0.15729524,"about_ca_system_score_codex":0.000011461445,"about_ca_system_score_gemma":0.000006560661,"threshold_uncertainty_score":0.38683018},"labels":[],"label_agreement":null},{"id":"W2056843369","doi":"10.1038/jcbfm.2014.52","title":"The Proteome of Mouse Cerebral Arteries","year":2014,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Cerebral arteries; Proteome; Medicine; Cardiology; Neuroscience; Anatomy; Internal medicine; Biology; Bioinformatics","score_opus":0.0065463527096731745,"score_gpt":0.2309177131041471,"score_spread":0.22437136039447392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056843369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98221135,0.0008221195,0.01321768,0.0010461892,0.00014632373,0.00020007078,0.000043089443,0.00005356775,0.002259616],"genre_scores_gemma":[0.8748513,0.00031069297,0.12163769,0.00011196639,0.0011711876,0.000057704376,0.000005034388,0.0000586276,0.0017958021],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99826044,0.000045148652,0.00085287285,0.00016185826,0.00037736734,0.0003023241],"domain_scores_gemma":[0.99770015,0.00010440646,0.0012375503,0.0005157884,0.0003063401,0.00013575923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004442288,0.00021141695,0.00047717363,0.00006186743,0.00019812063,0.00006545999,0.0006540618,0.00012356017,0.00014139106],"category_scores_gemma":[0.0002136614,0.00014016678,0.00030651977,0.00013648394,0.00018605545,0.00025324067,0.00009464262,0.0004951584,0.0000054028465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019289191,0.00032900274,0.00095287396,0.00011443162,0.00028500505,0.0000031381182,0.00030301142,0.00012396215,0.9398395,0.034747235,0.0010141837,0.022094795],"study_design_scores_gemma":[0.0009933383,0.00006540523,0.00023024682,0.00004307842,0.00015956744,0.00008952487,0.000066607805,0.00020160552,0.9101644,0.021106185,0.066700764,0.00017923242],"about_ca_topic_score_codex":0.0000066799066,"about_ca_topic_score_gemma":0.000003234633,"teacher_disagreement_score":0.10842001,"about_ca_system_score_codex":0.0000133199155,"about_ca_system_score_gemma":0.000065566936,"threshold_uncertainty_score":0.5715835},"labels":[],"label_agreement":null},{"id":"W2056901969","doi":"10.1158/1538-7445.am10-5566","title":"Abstract 5566: Phosphoproteomic profiling of Met / K-Ras signaling in colorectal cancer by label-free LTQ-Orbitrap mass spectrometry","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Ontario Institute for Cancer Research","funders":"","keywords":"Chemistry; Receptor tyrosine kinase; Orbitrap; Cancer research; Signal transduction; Colorectal cancer; Autocrine signalling; Cancer cell; Molecular biology; Mass spectrometry; Cancer; Receptor; Biochemistry; Biology; Genetics","score_opus":0.03373564428262543,"score_gpt":0.3817847109467214,"score_spread":0.34804906666409596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056901969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439865,0.0010099157,0.00043845683,0.00029779374,0.000052074673,0.00066741306,0.00053831644,0.00008733494,0.0025100412],"genre_scores_gemma":[0.95417166,0.0006227895,0.04226422,0.000014671957,0.00019341013,0.002376056,0.000034868444,0.00007052836,0.0002517867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99757105,0.000024075583,0.00047670858,0.00059174135,0.00059122336,0.0007452292],"domain_scores_gemma":[0.9985813,0.00020113037,0.00017864195,0.00060699426,0.0002750492,0.00015691905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080998766,0.00022300408,0.00034513685,0.0002086231,0.00015896588,0.000047149184,0.00094038894,0.0002915239,0.002315204],"category_scores_gemma":[0.0001650189,0.00022912996,0.00007796883,0.0008069424,0.0003106684,0.00013783333,0.00019239794,0.002175136,0.00000840114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013976853,0.00010725168,0.005620112,0.0002110506,0.000028505905,0.000005222622,0.000057414585,0.000034117198,0.99120694,0.00092862954,0.00038307722,0.001277927],"study_design_scores_gemma":[0.000676692,0.00003195646,0.0001309566,0.00014496347,0.000006660782,0.0000014950443,0.00010549569,0.00009248415,0.9907806,0.0072984216,0.0004920373,0.00023822354],"about_ca_topic_score_codex":0.0026062608,"about_ca_topic_score_gemma":0.00039958736,"teacher_disagreement_score":0.041825764,"about_ca_system_score_codex":0.00042113737,"about_ca_system_score_gemma":0.00044017954,"threshold_uncertainty_score":0.9985968},"labels":[],"label_agreement":null},{"id":"W2056929363","doi":"10.1021/pr050054d","title":"Postfractionation for Enhanced Proteomic Analyses:  Routine Electrophoretic Methods Increase the Resolution of Standard 2D-PAGE","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrophoresis; Resolution (logic); Polyacrylamide gel electrophoresis; High resolution; Chromatography; Chemistry; Gel electrophoresis; Two-dimensional gel electrophoresis; Proteomics; Computational biology; Biology; Computer science; Biochemistry; Artificial intelligence; Geography; Enzyme","score_opus":0.0816121749281151,"score_gpt":0.500579177811222,"score_spread":0.41896700288310684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056929363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3507298,0.0003703473,0.64446884,0.0023923372,0.000010687526,0.0013107399,0.000035335393,0.000019447203,0.0006624505],"genre_scores_gemma":[0.58124775,0.00026159314,0.4173559,0.000009959844,0.00030826346,0.00048254678,0.0000076574615,0.000023182232,0.00030316255],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751353,0.00028662197,0.00083782396,0.00021318886,0.0007737888,0.00037504462],"domain_scores_gemma":[0.99608064,0.00053966173,0.00080019294,0.00040481397,0.0020690004,0.00010566557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005344588,0.00013958593,0.0003238757,0.00030312463,0.00031985357,0.00004814684,0.0005089795,0.00014024077,0.00017139649],"category_scores_gemma":[0.0017879287,0.00009922212,0.00021259602,0.00056522276,0.00019065493,0.00024021705,0.00008037625,0.0009386025,0.0000023160753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011494233,0.00010070908,0.000009904124,0.000095553565,0.00005505372,5.110278e-7,0.00008771731,0.00027333075,0.9882908,0.0011407116,0.00021629763,0.008580017],"study_design_scores_gemma":[0.0007161085,0.00039636233,0.000035497018,0.00010429357,0.00003738052,0.000029113313,0.000104969135,0.0025764185,0.9757531,0.015986457,0.0041639907,0.00009630359],"about_ca_topic_score_codex":0.000032842087,"about_ca_topic_score_gemma":0.0000037055438,"teacher_disagreement_score":0.23051794,"about_ca_system_score_codex":0.0006170906,"about_ca_system_score_gemma":0.00043989654,"threshold_uncertainty_score":0.4077813},"labels":[],"label_agreement":null},{"id":"W2057340974","doi":"10.1513/pats.201012-069ms","title":"Advances in Proteomic Strategies toward the Early Detection of Lung Cancer","year":2011,"lang":"en","type":"review","venue":"Proceedings of the American Thoracic Society","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Cancer Institute","keywords":"Medicine; Lung cancer; Proteomics; Natural history; Intensive care medicine; Oncology; Internal medicine","score_opus":0.03295719149376852,"score_gpt":0.37446317741805174,"score_spread":0.3415059859242832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057340974","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016002666,0.98049194,0.00044101189,0.000044792865,0.000028665849,0.0014475976,0.000064603795,0.00009103948,0.0013876605],"genre_scores_gemma":[0.018312125,0.97496325,0.004207321,0.000008724282,0.000078072844,0.00232378,0.0000014183895,0.000057261685,0.000048063877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852306,0.000010971706,0.0006302761,0.00037501697,0.00019649652,0.0002641997],"domain_scores_gemma":[0.99686444,0.000056732373,0.0025940808,0.00028671138,0.00016868234,0.000029337996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023633032,0.00034085163,0.0010004942,0.00003255062,0.000099003366,0.000026903042,0.0010924976,0.00015476636,0.000011029854],"category_scores_gemma":[0.000030120926,0.00020503074,0.0006855094,0.00080185453,0.00073711365,0.00022821344,0.00024341645,0.0007398096,3.9926866e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002203869,0.000042222982,0.0003017099,0.019055497,0.000093894945,2.1300128e-8,0.0011970965,0.0000013826873,0.006309597,0.00039118182,0.000019719646,0.97256565],"study_design_scores_gemma":[0.00047516215,0.00028095,0.0003484847,0.066243105,0.004149808,0.000043980333,0.017085886,0.0003307277,0.35439312,0.025108982,0.5282604,0.0032794112],"about_ca_topic_score_codex":0.00034666568,"about_ca_topic_score_gemma":0.0000046892133,"teacher_disagreement_score":0.9692862,"about_ca_system_score_codex":0.0001927445,"about_ca_system_score_gemma":0.00016685929,"threshold_uncertainty_score":0.8360911},"labels":[],"label_agreement":null},{"id":"W2057349649","doi":"10.1074/mcp.h800011-mcp200","title":"Meeting Report on the 7th World Congress of the Human Proteome Organization (HUPO) in Amsterdam","year":2008,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human proteome project; Proteome; Library science; Political science; Computational biology; Biology; Bioinformatics; Proteomics; Computer science; Genetics","score_opus":0.012423693369840155,"score_gpt":0.23711739624769776,"score_spread":0.22469370287785762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057349649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843466,0.000026934114,0.010020859,0.0005593014,0.000026983302,0.0015047768,0.000009085043,0.0000859715,0.0034194614],"genre_scores_gemma":[0.9890576,0.000008598047,0.008782663,0.000128099,0.00004348007,0.00047585828,0.000042581316,0.00007832599,0.0013827649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827826,0.00006607119,0.00061203,0.00042013626,0.0003445291,0.00027895567],"domain_scores_gemma":[0.9979874,0.0000273183,0.00056074996,0.0012210286,0.00015991047,0.000043617645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032219614,0.0002416799,0.0002428824,0.000071382696,0.00036327782,0.000026009526,0.0006558298,0.00013564512,0.000067591296],"category_scores_gemma":[0.00018525214,0.0001768061,0.000112020025,0.0006545087,0.00021667668,0.000049278322,0.000254819,0.0005216997,0.0000048527977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049732103,0.000108284745,0.0045735342,0.000041348176,0.0000133093945,0.000064652224,0.00009528085,0.0005464676,0.9905114,0.0039732656,0.000049658847,0.000017791881],"study_design_scores_gemma":[0.0002290969,0.000011565377,0.00021737914,0.00015078105,0.000012373217,0.00004617733,0.000024386087,0.00018039212,0.9960018,0.0024402894,0.00048432205,0.00020146208],"about_ca_topic_score_codex":0.00006940911,"about_ca_topic_score_gemma":0.000015708569,"teacher_disagreement_score":0.0054903417,"about_ca_system_score_codex":0.00012805346,"about_ca_system_score_gemma":0.00008157301,"threshold_uncertainty_score":0.7209944},"labels":[],"label_agreement":null},{"id":"W2057498926","doi":"10.1074/mcp.m900517-mcp200","title":"Establishment of a Protein Frequency Library and Its Application in the Reliable Identification of Specific Protein Interaction Partners","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Biotechnology and Biological Sciences Research Council; Wellcome Trust","keywords":"Identification (biology); Computational biology; Computer science; Biology","score_opus":0.008984809830665165,"score_gpt":0.2465622542304075,"score_spread":0.23757744439974235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057498926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9342237,0.0005307638,0.06062689,0.00058182306,0.000004780871,0.0026605912,0.00001595296,0.000051811694,0.0013036636],"genre_scores_gemma":[0.9649925,0.00010308475,0.03324589,0.000028061912,0.000019769523,0.0014009608,0.00009731795,0.000025052059,0.00008731873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998519,0.00004324809,0.0006649137,0.00037439622,0.00021580013,0.00018264323],"domain_scores_gemma":[0.9987548,0.000010951932,0.0005322842,0.0006093497,0.000055066805,0.000037522896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025774594,0.0001764626,0.00020266804,0.00010320554,0.00005551087,0.00004050889,0.0003570963,0.00013961885,0.000013576303],"category_scores_gemma":[0.00002116594,0.00016562408,0.00006494526,0.00036509533,0.000053799235,0.00036419585,0.000046973975,0.0002829942,0.0000018701728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037288413,0.00017919137,0.000054289336,0.00012750541,0.000004890612,0.0000023469684,0.00011680294,0.00008978847,0.9450583,0.05310682,0.000003349112,0.0012194281],"study_design_scores_gemma":[0.00022782282,0.00004982988,0.00003584749,0.00011572728,0.00000950235,0.0000032466157,0.000093764094,0.0011189887,0.96707517,0.030587677,0.00053496676,0.00014746803],"about_ca_topic_score_codex":0.000010704798,"about_ca_topic_score_gemma":3.427162e-7,"teacher_disagreement_score":0.03076882,"about_ca_system_score_codex":0.000037369522,"about_ca_system_score_gemma":0.000037169404,"threshold_uncertainty_score":0.67539537},"labels":[],"label_agreement":null},{"id":"W2057666594","doi":"10.1586/14789450.5.4.551","title":"Advances in ovarian cancer proteomics: the quest for biomarkers and improved therapeutic interventions","year":2008,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Biomarker discovery; Proteomics; Ovarian cancer; Biomarker; Disease; Cancer; Bioinformatics; Medicine; Computational biology; Biology; Internal medicine","score_opus":0.0436088064293049,"score_gpt":0.4149584231090774,"score_spread":0.3713496166797725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057666594","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.9445337e-7,0.9442392,0.045574836,0.00036387876,0.00005929996,0.009180231,0.0002978741,0.000050524566,0.00023383432],"genre_scores_gemma":[4.5085892e-7,0.822311,0.13590927,0.000121820514,0.00015529465,0.041212387,0.00011707356,0.000096883196,0.00007581026],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708796,0.00009044327,0.0016189408,0.0006951895,0.00013590201,0.00037157754],"domain_scores_gemma":[0.9972093,0.00021056853,0.0014597755,0.0009101662,0.00013550615,0.00007470018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004150919,0.0006022733,0.0019053256,0.00010358946,0.00017758728,0.000027347696,0.0007884908,0.00033202468,0.000058488476],"category_scores_gemma":[0.00015664271,0.0004117447,0.00095871114,0.00032457442,0.00029157638,0.00016080964,0.0001818886,0.0005231407,0.0000012363749],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018342258,0.000090211135,0.0000013230022,0.17170244,0.000116381256,5.4189536e-7,0.000044306806,1.9813965e-7,0.0007947041,0.0010348617,0.00016138772,0.8260353],"study_design_scores_gemma":[0.00023806121,0.0000379854,9.527867e-8,0.16425407,0.00018239257,0.000031927662,0.000014277243,0.000032170643,0.0012190992,0.0008571607,0.8327036,0.000429151],"about_ca_topic_score_codex":0.00006934629,"about_ca_topic_score_gemma":0.000042137206,"teacher_disagreement_score":0.83254224,"about_ca_system_score_codex":0.0002500092,"about_ca_system_score_gemma":0.00033502723,"threshold_uncertainty_score":0.99983346},"labels":[],"label_agreement":null},{"id":"W2057762488","doi":"10.1021/ac051639u","title":"Correlation and Convolution Analysis of Peptide Mass Spectra","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chemistry; Mass spectrometry; Convolution (computer science); Peptide; Biological system; Tandem mass spectrometry; Mass spectrum; Noise (video); Ion; Proteomics; Algorithm; Computational biology; Analytical Chemistry (journal); Computer science; Chromatography; Artificial intelligence; Biochemistry","score_opus":0.006565175324876837,"score_gpt":0.24807661080423013,"score_spread":0.2415114354793533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057762488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74599844,0.000099387915,0.15168048,0.000120922516,0.0000027273084,0.000044992743,0.00008821081,0.000096391326,0.10186844],"genre_scores_gemma":[0.9908889,0.000021669293,0.0059772884,0.0000074251448,0.000046475918,0.000010941512,0.00024131154,0.000008069405,0.0027979154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992924,0.0000020833925,0.00025645024,0.0002156722,0.00011007473,0.00012335322],"domain_scores_gemma":[0.99951,0.000050847382,0.000110656794,0.00022911571,0.000052601263,0.000046763253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045973135,0.00009461778,0.0001955912,0.00003073539,0.000039137023,0.000010390346,0.0000724242,0.00011493758,0.0005141693],"category_scores_gemma":[0.00002209556,0.00009992814,0.000101130914,0.00030285137,0.00011174152,0.000036372367,0.00002069318,0.00012371059,0.0000019727458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020536518,0.00009039474,0.078088015,0.00010629471,0.00024765238,0.0000023874904,0.0000074511663,0.0020083175,0.9017012,0.017212735,0.00030949927,0.00020551412],"study_design_scores_gemma":[0.00023151674,0.0000051240636,0.0051365164,0.00002000852,0.0011061808,0.0000038142975,0.000039666003,0.23162997,0.74489784,0.015341234,0.0013417784,0.0002463277],"about_ca_topic_score_codex":0.00004504162,"about_ca_topic_score_gemma":0.0000026198172,"teacher_disagreement_score":0.24489047,"about_ca_system_score_codex":0.000046261885,"about_ca_system_score_gemma":0.000012192973,"threshold_uncertainty_score":0.5629793},"labels":[],"label_agreement":null},{"id":"W2058247400","doi":"10.1111/j.1365-2796.2012.02579.x","title":"Biomarker validation is still the bottleneck in biomarker research","year":2012,"lang":"en","type":"letter","venue":"Journal of Internal Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Biomarker; Multiplex; Medicine; Biomarker discovery; Computational biology; Quantitative proteomics; Proteomics; Chromatography; Bioinformatics; Biology; Chemistry; Biochemistry","score_opus":0.0860408996415088,"score_gpt":0.403270894001135,"score_spread":0.31722999435962623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058247400","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012637221,0.0033227135,0.004945568,0.96311575,0.0005935335,0.00029482276,0.000042863125,0.000023332606,0.015024167],"genre_scores_gemma":[0.28867835,0.0074774683,0.01132513,0.58990717,0.053705245,0.00036009698,0.00020671003,0.0005315853,0.047808275],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99703735,0.00012118043,0.0011179401,0.00022308112,0.0010638857,0.00043658027],"domain_scores_gemma":[0.99710906,0.0006812587,0.0009915336,0.00053372787,0.0005892154,0.00009518567],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020965626,0.00026014555,0.0004749813,0.00046626045,0.00006263134,0.000031568907,0.0010341771,0.0005201393,0.003265625],"category_scores_gemma":[0.0004432315,0.00015057917,0.00016664062,0.0003131364,0.0003337777,0.00013690635,0.00014933212,0.0043069865,0.00002657722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008821621,0.000036395482,0.00071102765,0.00011312164,0.00009418807,0.00013392966,0.00024093446,3.5265262e-7,0.028248373,0.000021167329,0.9641692,0.0061431015],"study_design_scores_gemma":[0.00050320895,0.00006612812,0.00018317539,0.0021100314,0.000058198348,0.0005055756,0.00009764721,0.00004259009,0.021120265,0.0027473187,0.97241473,0.00015114615],"about_ca_topic_score_codex":0.00016055371,"about_ca_topic_score_gemma":0.000002504983,"teacher_disagreement_score":0.37320864,"about_ca_system_score_codex":0.0003583809,"about_ca_system_score_gemma":0.00008217454,"threshold_uncertainty_score":0.99799013},"labels":[],"label_agreement":null},{"id":"W2058586913","doi":"10.1002/pmic.200400902","title":"Peptide mass fingerprinting by matrix‐assisted laser desorption ionization mass spectrometry of proteins detected by immunostaining on nitrocellulose","year":2004,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Chemistry; Collodion; Chromatography; Mass spectrometry; Nitrocellulose; Gel electrophoresis; Protein mass spectrometry; Peptide mass fingerprinting; Sodium dodecyl sulfate; Matrix-assisted laser desorption/ionization; Proteome; Bovine serum albumin; Peptide; Polyacrylamide gel electrophoresis; Tandem mass spectrometry; Biochemistry; Membrane; Proteomics; Desorption; Enzyme","score_opus":0.007670085869694786,"score_gpt":0.2413982422204357,"score_spread":0.23372815635074093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058586913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52250665,0.000058920086,0.47579372,0.00007967412,0.00000954125,0.0006457913,0.00012225095,0.00024453568,0.0005389249],"genre_scores_gemma":[0.6317771,0.000059408194,0.3670676,0.000017113009,0.000040411745,0.00040408783,0.00027169255,0.00006688837,0.00029567367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981799,0.000022535536,0.0006126228,0.00048968155,0.00028582852,0.00040940338],"domain_scores_gemma":[0.99855065,0.000048380243,0.0006258056,0.00051115954,0.00017637596,0.00008763216],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019435557,0.00031355035,0.00029482055,0.00012794085,0.00023354024,0.000064331616,0.00032816653,0.000269639,0.00006604982],"category_scores_gemma":[0.00017306482,0.00035254107,0.00011050267,0.0005129949,0.00007564569,0.00016211216,0.000067080386,0.0005121644,0.0000168399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010936272,0.00014525451,0.00042037092,0.0001335653,0.000026828035,0.0000012431952,0.000049931314,0.00064900756,0.99714243,0.00062430894,0.00002306128,0.00067461893],"study_design_scores_gemma":[0.0008444989,0.00008779867,0.00003280301,0.00019731617,0.000022522612,0.0000049287046,0.000085346575,0.0006181953,0.9890487,0.008547002,0.00016294782,0.0003479203],"about_ca_topic_score_codex":0.00004443602,"about_ca_topic_score_gemma":0.0000013717715,"teacher_disagreement_score":0.10927049,"about_ca_system_score_codex":0.00049052207,"about_ca_system_score_gemma":0.00007895708,"threshold_uncertainty_score":0.99989265},"labels":[],"label_agreement":null},{"id":"W2059032784","doi":"10.1016/j.aca.2013.05.060","title":"Automation of dimethylation after guanidination labeling chemistry and its compatibility with common buffers and surfactants for mass spectrometry-based shotgun quantitative proteome analysis","year":2013,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Chromatography; Reagent; Mass spectrometry; Proteome; Derivatization; Sample preparation; Isobaric labeling; Shotgun proteomics; Tandem mass spectrometry; Proteomics; Biochemistry; Protein mass spectrometry; Organic chemistry","score_opus":0.01327928930866384,"score_gpt":0.2781680445623553,"score_spread":0.26488875525369143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059032784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95987576,0.000013530304,0.038811393,0.00033361453,0.0000015034423,0.0006143583,0.0001286008,0.000059734888,0.00016150264],"genre_scores_gemma":[0.8381743,0.000013694672,0.16136436,0.000011701633,0.0000061618134,0.00022657045,0.00016515146,0.000015726588,0.000022338558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887663,0.000017991633,0.00037031504,0.00038820066,0.00016913014,0.00017771036],"domain_scores_gemma":[0.9987907,0.00025043212,0.00033675198,0.0002837588,0.00026185813,0.00007654465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016651662,0.00018884025,0.00036920814,0.00009566097,0.00009310337,0.000048017642,0.00009778581,0.000111167574,0.00015333985],"category_scores_gemma":[0.000089139,0.00017060667,0.00006812954,0.00045837223,0.00008996913,0.00022277312,0.000025527886,0.00012879097,6.220778e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001087368,0.000072448514,0.015961006,0.00028602805,0.00019668425,9.114438e-8,0.000065927685,0.00004630984,0.9830197,0.0001783857,0.0000023259136,0.00006235595],"study_design_scores_gemma":[0.0003914947,0.000054698117,0.0145031465,0.00004633931,0.00036284974,4.250468e-7,0.00006257122,0.33896095,0.64316267,0.0022687013,0.0000025511167,0.00018361135],"about_ca_topic_score_codex":0.00002497779,"about_ca_topic_score_gemma":0.000013164984,"teacher_disagreement_score":0.339857,"about_ca_system_score_codex":0.000072145944,"about_ca_system_score_gemma":0.000024567575,"threshold_uncertainty_score":0.6957138},"labels":[],"label_agreement":null},{"id":"W2059206863","doi":"10.1016/s1672-0229(10)60004-6","title":"Whole-Cell Protein Identification Using the Concept of Unique Peptides","year":2010,"lang":"en","type":"article","venue":"Genomics Proteomics & Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mascot; Proteome; Tandem mass spectrometry; Peptide; Identification (biology); Computational biology; Peptide mass fingerprinting; Proteomics; Mass spectrometry; Biochemistry; Bioinformatics; Chemistry; Biology; Chromatography; Gene","score_opus":0.01191627287635742,"score_gpt":0.25180947433558054,"score_spread":0.23989320145922313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059206863","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71530724,0.000022374792,0.2811745,0.00015475547,0.00004498674,0.0012736747,0.00021459647,0.00010345098,0.0017044295],"genre_scores_gemma":[0.4895307,0.00001729172,0.50956887,0.000045739005,0.00008588786,0.0002427021,0.00008325071,0.000042604064,0.00038292183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981723,0.000012967899,0.0010366868,0.00022575812,0.00021024437,0.00034207889],"domain_scores_gemma":[0.9973489,0.00004685498,0.0010941103,0.0011655943,0.00025303752,0.00009150387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041968646,0.00027581528,0.00026856727,0.00009922975,0.00032973557,0.0001121985,0.0008627042,0.00028352893,0.000042834574],"category_scores_gemma":[0.00006614609,0.00023631721,0.0001391037,0.00025756154,0.0003770775,0.00026834494,0.00023322659,0.00072209234,0.000019501485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012594168,0.00004936852,0.000035392753,0.00012153454,0.000012381123,1.6952484e-7,0.00077258947,0.00041252654,0.98488873,0.012493225,0.000036047993,0.0011654662],"study_design_scores_gemma":[0.00025358697,0.000014867946,0.0000042247148,0.000030914478,0.000027748976,0.000014062775,0.0005270034,0.032248482,0.95218414,0.008636711,0.0057853875,0.00027287297],"about_ca_topic_score_codex":0.000026667109,"about_ca_topic_score_gemma":0.0000075229054,"teacher_disagreement_score":0.22839436,"about_ca_system_score_codex":0.000106542,"about_ca_system_score_gemma":0.00023947297,"threshold_uncertainty_score":0.96367365},"labels":[],"label_agreement":null},{"id":"W2059572554","doi":"10.1016/j.cbd.2007.11.003","title":"Natural feeding influences protein expression in the dogfish shark rectal gland: A proteomic analysis","year":2007,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Bamfield Marine Sciences Centre; McMaster University","funders":"University of California, Davis; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Protein expression; Biology; Internal medicine; Anatomy; Endocrinology; Zoology; Medicine; Biochemistry; Gene","score_opus":0.020258156413116943,"score_gpt":0.29709967147112165,"score_spread":0.2768415150580047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059572554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970175,0.00050963025,0.0011168558,0.00010205449,0.000015012056,0.0006699215,0.000060213522,0.00003676969,0.0004720461],"genre_scores_gemma":[0.9858629,0.00010417055,0.0130964685,0.00007289646,0.00018951102,0.00046294084,0.00013778993,0.000011643886,0.000061683735],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984485,0.000038890816,0.00043705618,0.0006071959,0.00009413148,0.00037425346],"domain_scores_gemma":[0.99911827,0.00011937169,0.00027780136,0.0003400779,0.000055724682,0.00008875998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004431326,0.00030661453,0.00042289367,0.000068122485,0.0003616745,0.000074688134,0.00032862875,0.0002305922,0.0000245874],"category_scores_gemma":[0.000026235053,0.00023740796,0.00008913235,0.00029583438,0.00036227715,0.00009171523,0.00015993875,0.0005785455,0.000001068204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002738741,0.000049020833,0.0029540153,0.00006565672,0.000063344545,0.0000017661973,0.00070865493,0.00002645286,0.9954627,0.00016625787,0.000020751679,0.00020747443],"study_design_scores_gemma":[0.00038999497,0.000032964257,0.003644097,0.000052586194,0.000048204,0.000015006644,0.0005644552,0.0010675592,0.9906844,0.0026393563,0.00052257493,0.000338798],"about_ca_topic_score_codex":0.000015669386,"about_ca_topic_score_gemma":0.00001585156,"teacher_disagreement_score":0.011979613,"about_ca_system_score_codex":0.000055120214,"about_ca_system_score_gemma":0.000037784648,"threshold_uncertainty_score":0.9681216},"labels":[],"label_agreement":null},{"id":"W2059800183","doi":"10.1002/pmic.200401162","title":"The development of an algorithm for the mass spectral interpretation of phosphoproteins","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Phosphoprotein; Phosphorylation; Peptide; Algorithm; Interpretation (philosophy); Ion; Mass spectrometry; Mass spectrum; Computer science; Chemistry; Computational biology; Combinatorial chemistry; Biological system; Biology; Biochemistry; Chromatography; Organic chemistry","score_opus":0.010054611798096849,"score_gpt":0.2750430614559336,"score_spread":0.26498844965783674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059800183","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061293386,0.00008613165,0.9371644,0.00020879779,0.000010898141,0.00085521326,0.000033750362,0.000033330853,0.0003140609],"genre_scores_gemma":[0.19100627,0.000028965736,0.8076249,0.0000099287845,0.000057263547,0.0011104839,0.000012040497,0.000015349788,0.00013483377],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992699,0.000004655829,0.00035380299,0.00013207727,0.00009983707,0.00013975178],"domain_scores_gemma":[0.99922466,0.000078915116,0.00025162147,0.00032557434,0.000095652875,0.000023572913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023094096,0.00009170847,0.000102030186,0.000010959818,0.00018951636,0.000014680939,0.0003470122,0.000054364562,0.000017142962],"category_scores_gemma":[0.000025590054,0.00005993433,0.000058354282,0.00005382276,0.000082486375,0.00006353227,0.00003491008,0.00010755085,8.952893e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054118005,0.00004803939,0.000010027932,0.0000270351,0.000025264178,1.6404533e-8,0.0004797817,0.00023606441,0.3538783,0.0023273693,0.000006398332,0.6429076],"study_design_scores_gemma":[0.00015206124,0.00001826417,0.000008581127,0.00001571448,0.000008267755,6.6360343e-7,0.00014074966,0.097728446,0.891215,0.007216607,0.0034270335,0.00006859755],"about_ca_topic_score_codex":0.0000059650447,"about_ca_topic_score_gemma":0.00002001556,"teacher_disagreement_score":0.642839,"about_ca_system_score_codex":0.00006226552,"about_ca_system_score_gemma":0.000071101334,"threshold_uncertainty_score":0.24440509},"labels":[],"label_agreement":null},{"id":"W2060769471","doi":"10.1074/mcp.m111.009993","title":"The Human Proteome Project: Current State and Future Direction","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":356,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria; McGill University","funders":"","keywords":"Current (fluid); Proteome; State (computer science); Computational biology; Human proteome project; Data science; Computer science; Proteomics; Chemistry; Biology; Bioinformatics; Engineering; Biochemistry; Electrical engineering","score_opus":0.01490619823095905,"score_gpt":0.2578159499142334,"score_spread":0.24290975168327436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060769471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9239377,0.0017752701,0.06645265,0.00016861821,0.00007847175,0.002137336,0.00003256733,0.00024033169,0.0051770555],"genre_scores_gemma":[0.814163,0.003231995,0.16908753,0.0000925635,0.0007671289,0.009210862,0.00017489145,0.00033017504,0.0029418217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985916,0.00003378431,0.00033933972,0.000469855,0.00018771343,0.00037771894],"domain_scores_gemma":[0.9989233,0.000007894332,0.00022488275,0.00066307106,0.00009149809,0.00008933094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020942512,0.00027660406,0.00017278241,0.000045683657,0.00059841055,0.00009055849,0.00033148637,0.000112020614,0.00002909639],"category_scores_gemma":[0.000011439087,0.00022465811,0.00009495684,0.00015772763,0.00016106939,0.0000879827,0.00017268432,0.0005046854,0.000010140654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022175924,0.00007264093,0.00009263626,0.00007481465,0.000022064369,0.000007661504,0.0002491369,9.25817e-7,0.97001797,0.0052170632,0.00003695043,0.024185956],"study_design_scores_gemma":[0.00020336245,0.000030213421,0.000037245318,0.000024571735,0.000021114283,0.0000114838085,0.000037257418,0.00009594544,0.9297132,0.022063749,0.047483403,0.00027848218],"about_ca_topic_score_codex":0.000041436935,"about_ca_topic_score_gemma":0.0000060204598,"teacher_disagreement_score":0.10977467,"about_ca_system_score_codex":0.00007153853,"about_ca_system_score_gemma":0.00004896636,"threshold_uncertainty_score":0.91612923},"labels":[],"label_agreement":null},{"id":"W2060968241","doi":"10.1016/s1359-6446(05)03645-7","title":"Practical proteomic biomarker discovery: taking a step back to leap forward","year":2005,"lang":"en","type":"article","venue":"Drug Discovery Today","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biomarker discovery; Data science; Profiling (computer programming); Confusion; Computer science; Risk analysis (engineering); Biomarker; Drug discovery; Proof of concept; Computational biology; Management science; Proteomics; Medicine; Bioinformatics; Biology; Engineering; Psychology","score_opus":0.022413482166856003,"score_gpt":0.31766670159662724,"score_spread":0.29525321942977123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060968241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46979833,0.00006765251,0.46394062,0.015433664,0.00009026901,0.0014439049,0.00035501362,0.00041811247,0.048452437],"genre_scores_gemma":[0.79752064,0.000038689217,0.17290847,0.0008612222,0.0004020215,0.00086352514,0.00012189602,0.00010076444,0.027182763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978308,0.000026618942,0.0004808236,0.0007389447,0.0003199179,0.0006028867],"domain_scores_gemma":[0.9984721,0.00010894527,0.0002820196,0.00088452967,0.000050583294,0.0002018208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019970983,0.00036423706,0.00033231292,0.00007900477,0.00021686849,0.00035782342,0.00041496163,0.00014901622,0.0006603622],"category_scores_gemma":[0.00012904775,0.00033902432,0.00020060799,0.0002549648,0.000094777846,0.0015580899,0.00033977441,0.00038663478,0.00047745625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068725174,0.0011183738,0.0034159378,0.00029913892,0.0002039427,0.000029034634,0.00057865126,0.0007105258,0.80436486,0.052167486,0.10770768,0.028717125],"study_design_scores_gemma":[0.00066928414,0.000028794033,0.00021608092,0.00020500684,0.00005156209,0.00003771616,0.00021984936,0.0015122618,0.55922174,0.0019451411,0.4350185,0.00087404443],"about_ca_topic_score_codex":0.000058688784,"about_ca_topic_score_gemma":0.00005854328,"teacher_disagreement_score":0.3277223,"about_ca_system_score_codex":0.00029649047,"about_ca_system_score_gemma":0.00012631874,"threshold_uncertainty_score":0.9999062},"labels":[],"label_agreement":null},{"id":"W2061125876","doi":"10.1002/pmic.200900711","title":"Temporal proteomic analysis of IGF‐1R signalling in MCF‐7 breast adenocarcinoma cells","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Marine Biosciences; Dalhousie University","funders":"","keywords":"Biology; Proteomics; Heat shock protein; Quantitative proteomics; Lactate dehydrogenase A; Cell biology; Gene; Biochemistry; Lactate dehydrogenase; Enzyme","score_opus":0.008856609390592343,"score_gpt":0.2499207391371239,"score_spread":0.24106412974653155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061125876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633677,0.000020259284,0.03473458,0.00010022945,0.00002144336,0.00071652385,0.00020504612,0.00011549691,0.00071873894],"genre_scores_gemma":[0.8122313,0.000013119569,0.18693213,0.00001593914,0.00006678126,0.00050992216,0.00006669061,0.00003837879,0.00012575695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827653,0.000014250778,0.0006547905,0.0004953097,0.00019565325,0.00036345134],"domain_scores_gemma":[0.9986551,0.00004483212,0.0004047326,0.0006737818,0.00011163657,0.00010992503],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026855126,0.00025542724,0.0004868354,0.00031461025,0.000078175704,0.000031942378,0.0005228558,0.00028139298,0.0003891914],"category_scores_gemma":[0.000026126,0.00027009594,0.000226788,0.0008028057,0.00012589386,0.0001268913,0.00013382889,0.000740339,0.000010754317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051222574,0.00012866732,0.050258715,0.00006701089,0.00008434576,0.0000029262299,0.00010555938,0.00059682864,0.94731367,0.00094768126,0.000005471394,0.00043791143],"study_design_scores_gemma":[0.0003315926,0.0000139234035,0.0021242592,0.000031170333,0.00013304915,0.000007828236,0.000040343064,0.012587006,0.9817307,0.0026406203,0.000057369816,0.00030213798],"about_ca_topic_score_codex":0.00038254328,"about_ca_topic_score_gemma":0.00017703307,"teacher_disagreement_score":0.15219755,"about_ca_system_score_codex":0.00008174264,"about_ca_system_score_gemma":0.00010754388,"threshold_uncertainty_score":0.99997514},"labels":[],"label_agreement":null},{"id":"W2061379637","doi":"10.1158/0008-5472.sabcs-09-2137","title":"Delineating the Secretome of Eleven Breast Cell Lines in the Quest for Novel Breast Cancer Biomarkers.","year":2009,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Cancer; Cancer research; Chemistry; Tandem mass spectrometry; Oncology; Medicine; Internal medicine; Mass spectrometry; Chromatography","score_opus":0.05992824951102188,"score_gpt":0.4167159344403139,"score_spread":0.356787684929292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061379637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473927,0.0021405537,0.010436556,0.032008547,0.00003108735,0.0018961027,0.0029581925,0.00008406705,0.003052167],"genre_scores_gemma":[0.9938613,0.0005396211,0.0029371567,0.00015259442,0.00037590327,0.001752434,0.00002645612,0.00002202959,0.00033246455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877346,0.00002727332,0.000267991,0.00026341106,0.0002904102,0.00037746542],"domain_scores_gemma":[0.9987641,0.00026952755,0.000098803015,0.00044902085,0.00037748856,0.00004107818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007461054,0.00011370594,0.0001375015,0.000055657507,0.00020852953,0.000035528108,0.00068854284,0.00008571614,0.00009905995],"category_scores_gemma":[0.000035016437,0.00007152623,0.000063220104,0.0004627446,0.00014241181,0.000057524612,0.000061926345,0.00038961016,9.0339665e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014606438,0.00013109251,0.0010340324,0.00014250669,0.000013468148,5.637778e-7,0.00034409025,0.00017053598,0.9664112,0.0012774032,0.0014041986,0.028924853],"study_design_scores_gemma":[0.0015785869,0.00007048145,0.0040343893,0.0006491757,0.00003133799,0.000045068875,0.0020449464,0.007324842,0.9574614,0.0077931327,0.018511243,0.00045536997],"about_ca_topic_score_codex":0.0015542655,"about_ca_topic_score_gemma":0.000266597,"teacher_disagreement_score":0.046468616,"about_ca_system_score_codex":0.00014741144,"about_ca_system_score_gemma":0.0002030311,"threshold_uncertainty_score":0.29167548},"labels":[],"label_agreement":null},{"id":"W2061751482","doi":"10.1074/mcp.m800313-mcp200","title":"Mining the Ovarian Cancer Ascites Proteome for Potential Ovarian Cancer Biomarkers","year":2008,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ovarian cancer; Biomarker; Proteome; Biomarker discovery; Proteomics; Cancer biomarkers; Ascites; Cancer; Quantitative proteomics; Bioinformatics; Computational biology; Chemistry; Medicine; Biology; Internal medicine; Biochemistry","score_opus":0.014437308113797,"score_gpt":0.25989876105818344,"score_spread":0.24546145294438643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061751482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5250285,0.0009741475,0.46816736,0.0022907173,0.000094884424,0.002526195,0.00019942358,0.00023978332,0.00047893566],"genre_scores_gemma":[0.6541251,0.00044923605,0.32651195,0.00046286822,0.0005052589,0.01609433,0.00017498704,0.00022357865,0.0014527036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99754465,0.000042190477,0.00053756434,0.00079612335,0.00035256176,0.00072691287],"domain_scores_gemma":[0.9982851,0.00003647234,0.00032628395,0.0009672331,0.00021413293,0.00017075671],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026660788,0.00046493957,0.00036694677,0.00008169184,0.00090133987,0.00009895026,0.00078422547,0.00032665583,0.00027282545],"category_scores_gemma":[0.00004959138,0.0004083366,0.0003503159,0.00032733937,0.0002896851,0.00012791963,0.00020428722,0.00040397997,0.0000068966547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010907521,0.00006861863,0.00020213565,0.00010404159,0.00019348555,0.0000356171,0.00016814585,0.001217265,0.99531305,0.0010496107,0.000362901,0.0011760552],"study_design_scores_gemma":[0.0009064529,0.000027429474,0.000025311874,0.000078957775,0.00011094185,0.000046464174,0.00005597841,0.0073299245,0.97922254,0.00232178,0.00932709,0.0005471345],"about_ca_topic_score_codex":0.000535197,"about_ca_topic_score_gemma":0.00001867598,"teacher_disagreement_score":0.14165543,"about_ca_system_score_codex":0.00022302454,"about_ca_system_score_gemma":0.00031631786,"threshold_uncertainty_score":0.99983686},"labels":[],"label_agreement":null},{"id":"W2061802061","doi":"10.1016/j.ejca.2008.09.007","title":"Proteomics: New technologies and clinical applications","year":2008,"lang":"en","type":"review","venue":"European Journal of Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute of Mining, Metallurgy and Petroleum; Université de Montréal","funders":"","keywords":"Proteomics; Biomarker discovery; Biomarker; Breast cancer; Genomics; Computational biology; Identification (biology); Computer science; Bioinformatics; Medicine; Cancer; Biology; Internal medicine; Genome","score_opus":0.06127139246840362,"score_gpt":0.39727088313031683,"score_spread":0.3359994906619132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061802061","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000023931693,0.97493553,0.021210061,0.0001435985,0.000033183653,0.00034517006,0.000033214514,0.000114309245,0.0031825672],"genre_scores_gemma":[0.0000014672498,0.92745584,0.0704009,0.000015126013,0.00084386417,0.00007831532,0.0000045377246,0.000077380515,0.00112259],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818736,0.000051640687,0.0011973463,0.00026622292,0.00013747536,0.00015998002],"domain_scores_gemma":[0.997568,0.00008075246,0.0016858127,0.00042797325,0.00011783958,0.00011963952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126845,0.00026989693,0.0009194182,0.000094495226,0.00009039429,0.000032370684,0.00066627323,0.00014918999,0.000050602903],"category_scores_gemma":[0.000065560555,0.0002095661,0.00040558598,0.00014691433,0.00019151863,0.000063878804,0.00017192244,0.0011337794,0.00001652911],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031981876,0.000020154683,0.0000071391178,0.00059311127,0.000095838914,0.000015684314,0.0000049117566,3.4011072e-7,0.0000085568645,0.00012362216,0.003028225,0.99609923],"study_design_scores_gemma":[0.00015687356,0.000026246309,6.478224e-7,0.0031180887,0.00023057457,0.00033156358,0.000009963697,4.390783e-7,0.0000659814,0.00035377988,0.9955005,0.00020530714],"about_ca_topic_score_codex":0.0000017864845,"about_ca_topic_score_gemma":6.8989186e-7,"teacher_disagreement_score":0.9958939,"about_ca_system_score_codex":0.0000859862,"about_ca_system_score_gemma":0.0003843368,"threshold_uncertainty_score":0.85458577},"labels":[],"label_agreement":null},{"id":"W2061818875","doi":"10.1002/pmic.201090041","title":"The 4th Human Kidney and Urine Proteome Project (HKUPP) Workshop 26 September 2009, Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proteome; Urine; Proteomics; Kidney; Nephrology; Human proteome project; Bioinformatics; Medicine; Biology; Internal medicine; Biochemistry; Gene","score_opus":0.009046148555430329,"score_gpt":0.27169664372079655,"score_spread":0.2626504951653662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061818875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.911749,0.00050671527,0.0052540614,0.0041514724,0.00026467108,0.0063660513,0.00040861047,0.0010531878,0.07024621],"genre_scores_gemma":[0.57486695,0.0005615073,0.34842557,0.0011402799,0.0018964361,0.014463039,0.00020246876,0.00047635383,0.057967424],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984495,0.000013246581,0.000370735,0.00045891447,0.00022309164,0.0004845004],"domain_scores_gemma":[0.9985625,0.00005578672,0.00021903006,0.00083526125,0.00010604417,0.00022135957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021135955,0.00029389304,0.00021490412,0.000014028813,0.00073527195,0.00013369916,0.00048517386,0.00019574688,0.0002522861],"category_scores_gemma":[0.0001289252,0.00023127653,0.000054798278,0.00009176046,0.00016783777,0.00014934088,0.00022944999,0.0007334678,0.000004964529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062916064,0.00009913658,0.0016013965,0.00016511531,0.000064080545,0.000007050966,0.00012533856,0.0000039565407,0.94747245,0.007984879,0.03828502,0.0041286265],"study_design_scores_gemma":[0.0004534621,0.000019554696,0.00007652952,0.000047143254,0.000021305565,0.00004173851,0.00010377176,0.00029481063,0.39550072,0.004849673,0.59808856,0.00050271256],"about_ca_topic_score_codex":0.076312,"about_ca_topic_score_gemma":0.38926166,"teacher_disagreement_score":0.55980355,"about_ca_system_score_codex":0.00019259694,"about_ca_system_score_gemma":0.00050609536,"threshold_uncertainty_score":0.94311833},"labels":[],"label_agreement":null},{"id":"W2062088852","doi":"10.1016/j.ymeth.2007.02.018","title":"Affinity-purification mass spectrometry (AP-MS) of serine/threonine phosphatases","year":2007,"lang":"en","type":"article","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"Terry Fox Foundation; Canada Research Chairs","keywords":"Tandem affinity purification; Threonine; Phosphatase; Serine; Chemistry; Mass spectrometry; Biochemistry; Affinity chromatography; Protein phosphatase 2; Phosphorylation; Function (biology); Identification (biology); Chromatography; Biology; Enzyme; Cell biology","score_opus":0.026710228912518848,"score_gpt":0.3798133508493936,"score_spread":0.35310312193687476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062088852","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033207268,0.00044744907,0.9470401,0.000085432,0.000026297821,0.000115979485,0.000053159558,0.00017259418,0.018851759],"genre_scores_gemma":[0.05865279,0.00015550091,0.94026715,0.000029960858,0.00009502334,0.000045299428,0.00006452651,0.000025109883,0.00066461525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901694,0.000023199364,0.0003646006,0.0002549628,0.00012017214,0.00022015384],"domain_scores_gemma":[0.9988314,0.00022047642,0.00022340131,0.0005811782,0.000074483374,0.000069095695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086210854,0.00013455136,0.00020761885,0.00007519793,0.00006543721,0.000009549645,0.00026023824,0.00011104781,0.0007484973],"category_scores_gemma":[0.00016198427,0.00013814188,0.000075730284,0.00036040365,0.00006742446,0.00006694145,0.00005025562,0.00020297279,0.00000818364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027507333,0.0000691374,0.0006126883,0.00005789979,0.000013166509,0.0000012106495,0.000019327785,0.00000935473,0.95226556,0.014879075,0.00009111225,0.031953976],"study_design_scores_gemma":[0.00013703333,0.000017129649,0.00045761268,0.00001538104,0.00001666066,0.0000046924492,0.00003988459,0.00007758007,0.9588126,0.014122766,0.026162602,0.00013605655],"about_ca_topic_score_codex":0.000027208163,"about_ca_topic_score_gemma":0.0000018463907,"teacher_disagreement_score":0.031817917,"about_ca_system_score_codex":0.000054973254,"about_ca_system_score_gemma":0.000018506345,"threshold_uncertainty_score":0.81955206},"labels":[],"label_agreement":null},{"id":"W2062958444","doi":"10.1016/j.aca.2011.10.036","title":"Corrigendum to “Implications of partial tryptic digestion in organic–aqueous solvent systems for bottom-up proteome analysis” [Anal. Chim. Acta (2011) 194–203]","year":2011,"lang":"en","type":"erratum","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Chemistry; Aqueous solution; Organic solvent; Digestion (alchemy); Chromatography; Chemical engineering; Organic chemistry","score_opus":0.028427533784835524,"score_gpt":0.28206697868111136,"score_spread":0.2536394448962758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062958444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14141785,0.0029970196,0.37377995,0.04679577,0.03291851,0.09422608,0.05211501,0.008181619,0.24756819],"genre_scores_gemma":[0.84067315,0.0014882991,0.00876857,0.00017701778,0.0015743899,0.008863429,0.0078883665,0.00043931833,0.13012746],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99512863,0.00005318661,0.0018723614,0.0015212698,0.00046558084,0.00095898664],"domain_scores_gemma":[0.9949214,0.00011634609,0.0014841249,0.002567464,0.00047615726,0.00043451285],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033258134,0.00083699194,0.001757779,0.00086546334,0.00024290939,0.00010480342,0.0015359197,0.0011501752,0.0010176215],"category_scores_gemma":[0.00026230107,0.0008626623,0.0007716779,0.0012970123,0.00015071184,0.00014898475,0.00029715855,0.0013584049,0.000041275605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062449835,0.002368666,0.00086579385,0.0026429829,0.0046874727,0.0000076915,0.000721214,0.00004775742,0.3856498,0.008380109,0.59348154,0.00052246527],"study_design_scores_gemma":[0.0027025861,0.0008447064,0.0023005023,0.0022800937,0.015890343,0.00006988774,0.00041116442,0.035270326,0.095090404,0.012300907,0.8265714,0.006267651],"about_ca_topic_score_codex":0.00029862078,"about_ca_topic_score_gemma":0.00029201206,"teacher_disagreement_score":0.6992553,"about_ca_system_score_codex":0.00058674027,"about_ca_system_score_gemma":0.00058756553,"threshold_uncertainty_score":0.9998956},"labels":[],"label_agreement":null},{"id":"W2063032614","doi":"10.1016/s1056-8719(02)00203-4","title":"Gel electrophoresis–autoradiographic image analysis of radiolabeled protein drug concentration in serum for pharmacokinetic studies","year":2002,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Pharmacokinetics; Trichloroacetic acid; Chromatography; Chemistry; Polyacrylamide gel electrophoresis; Gel electrophoresis; Albumin; Protein precipitation; Molecular-weight size marker; Blood proteins; Two-dimensional gel electrophoresis; Gel electrophoresis of proteins; High-performance liquid chromatography; Pharmacology; Biochemistry; Proteomics; Medicine","score_opus":0.05899864257815908,"score_gpt":0.425493397867827,"score_spread":0.3664947552896679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063032614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675348,0.00594536,0.025057266,0.0007848785,0.000029786195,0.00047822157,0.00002306891,0.000027402646,0.00011923639],"genre_scores_gemma":[0.7352882,0.0043443264,0.25995106,0.0001154799,0.00007179555,0.00017458403,0.0000014263775,0.0000071389713,0.000045956403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981149,0.00024459316,0.00091408804,0.0002705324,0.00015538558,0.00030050537],"domain_scores_gemma":[0.99802834,0.00083438755,0.0006750682,0.000084876454,0.0002404043,0.00013692898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010362989,0.0002044618,0.00087924063,0.0002035218,0.00008358541,0.000017842163,0.00024210848,0.00014735866,0.00060920796],"category_scores_gemma":[0.00034329214,0.00013945915,0.00033620466,0.00085745286,0.00026269,0.00010477198,0.000053474014,0.0004587647,1.4582298e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025965765,0.0005220554,0.0012606436,0.00005925405,0.00080767635,0.0000146183565,0.000059964972,0.00009279925,0.9791242,0.00052891154,0.00012548754,0.017144738],"study_design_scores_gemma":[0.0020707871,0.0005343525,0.0011298683,0.00003120203,0.0016749395,0.000015021526,0.00006980807,0.0175482,0.96557206,0.009898938,0.0012296943,0.0002251519],"about_ca_topic_score_codex":7.3999666e-7,"about_ca_topic_score_gemma":4.6525994e-7,"teacher_disagreement_score":0.2348938,"about_ca_system_score_codex":0.000081887076,"about_ca_system_score_gemma":0.000011976454,"threshold_uncertainty_score":0.66704},"labels":[],"label_agreement":null},{"id":"W2063519164","doi":"10.1016/j.talanta.2009.07.018","title":"Analysis of low-abundance proteins using the proteomic reactor with pH fractionation","year":2009,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Fractionation; Chromatography; Peptide; Digestion (alchemy); Amino acid; Sample preparation; Abundance (ecology); Biochemistry","score_opus":0.012499547668696265,"score_gpt":0.27943919153998625,"score_spread":0.26693964387129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063519164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95985997,0.000012946551,0.03780852,0.00020572076,0.00000239913,0.00030846635,0.000035817637,0.00006534228,0.0017008267],"genre_scores_gemma":[0.9894568,0.000012621441,0.0101507325,0.000033567503,0.000039694703,0.000083907784,0.00004481682,0.000008811956,0.00016907425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994277,0.000005686354,0.00016158701,0.00016515268,0.00013796965,0.00010190243],"domain_scores_gemma":[0.99930435,0.00001671247,0.00023216575,0.00035970582,0.00006677037,0.000020294534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053282107,0.00008781865,0.00013542143,0.00005238729,0.00008478942,0.000014195476,0.00014857847,0.000048582588,0.00008617043],"category_scores_gemma":[0.000010314287,0.0000609309,0.000055164044,0.00039043516,0.00004457215,0.000089254165,0.000012623113,0.00012697167,0.0000011566251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037204434,0.00006640882,0.0017784022,0.00001398737,0.00007358925,4.936416e-7,0.00006573096,0.0005230532,0.995944,0.00078310946,0.0000074474688,0.00070657785],"study_design_scores_gemma":[0.00012356657,0.000020103644,0.0021929247,0.00004599824,0.00017183075,0.000005955917,0.000035575955,0.0067839306,0.98943514,0.0007114328,0.00036058444,0.00011294909],"about_ca_topic_score_codex":0.000053636333,"about_ca_topic_score_gemma":0.000011343346,"teacher_disagreement_score":0.029596811,"about_ca_system_score_codex":0.000057674977,"about_ca_system_score_gemma":0.000030211224,"threshold_uncertainty_score":0.248469},"labels":[],"label_agreement":null},{"id":"W2063982943","doi":"10.1016/j.femsre.2004.12.006","title":"Enzyme genomics: Application of general enzymatic screens to discover new enzymes","year":2005,"lang":"en","type":"review","venue":"FEMS Microbiology Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences","keywords":"Biology; Enzyme; Biochemistry; Functional genomics; Gene; Computational biology; Genomics; Proteomics; Structural genomics; Function (biology); Nuclease; Genome; Genetics; Protein structure","score_opus":0.04099328086061887,"score_gpt":0.3466255959013006,"score_spread":0.3056323150406817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063982943","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000048532447,0.95797735,0.037552632,0.00006568979,0.000041139745,0.0026765456,0.00063311966,0.000098890014,0.00094975776],"genre_scores_gemma":[7.019139e-7,0.8897266,0.100327075,0.00019235424,0.00074116956,0.0016904647,0.0017408113,0.000110566216,0.0054702642],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963759,0.00009539945,0.0020437632,0.0009470306,0.00004500674,0.00049289106],"domain_scores_gemma":[0.99635226,0.00009861513,0.0016368119,0.0016666113,0.00005244469,0.0001932557],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029896182,0.000773727,0.0031695138,0.00015422101,0.000084097104,0.000020822572,0.0011530569,0.0007291968,0.00043471574],"category_scores_gemma":[0.000058565594,0.000632659,0.0008975643,0.00032691192,0.000113773145,0.000058554706,0.000341956,0.00043748337,0.00087756047],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003159425,0.00004975223,7.002352e-7,0.0040683416,0.000071957365,2.4717966e-7,0.000025284775,0.0000034183463,0.025752435,0.0013974096,0.017571561,0.9510557],"study_design_scores_gemma":[0.00009476014,0.000018323932,3.9356323e-8,0.0038654993,0.00038983906,0.00006791273,0.0000017850252,0.000003008721,0.004323303,0.00013618811,0.99052334,0.0005759873],"about_ca_topic_score_codex":0.00006315229,"about_ca_topic_score_gemma":0.000028404354,"teacher_disagreement_score":0.97295177,"about_ca_system_score_codex":0.00029769598,"about_ca_system_score_gemma":0.00027350857,"threshold_uncertainty_score":0.9999004},"labels":[],"label_agreement":null},{"id":"W2064604406","doi":"10.1107/s0108767305098910","title":"Structural proteomics: a rich source of purified proteins for functional assays","year":2005,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations of Crystallography","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Computational biology; Quantitative proteomics; Biology; Chemistry; Biochemistry","score_opus":0.015927478704396456,"score_gpt":0.258495864681087,"score_spread":0.24256838597669053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064604406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58509946,0.000055344026,0.4104574,0.0005536205,0.000060978,0.0015347458,0.00022498508,0.0003256501,0.0016877898],"genre_scores_gemma":[0.83186996,0.000045945235,0.16534328,0.00003511842,0.00022577941,0.0018557127,0.0003939071,0.0000624718,0.00016779851],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741536,0.00003619954,0.001075647,0.0006223324,0.00042081892,0.00042961325],"domain_scores_gemma":[0.99706817,0.00020144547,0.0010186165,0.0007696559,0.0008069998,0.00013511069],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030371358,0.0003869137,0.0004887358,0.0008755369,0.00047865088,0.00005780333,0.00045560687,0.0003638604,0.00035628883],"category_scores_gemma":[0.00013748552,0.00041045173,0.00065626105,0.0013159765,0.0005667637,0.00050235033,0.00009186095,0.00038116486,1.7613826e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026595485,0.00031549548,0.0031334087,0.0002338588,0.00024697342,8.64104e-8,0.00012024414,0.00096629304,0.9883509,0.0052028345,0.0002480125,0.00091590575],"study_design_scores_gemma":[0.008579743,0.0013057787,0.00840157,0.00043453564,0.00092065585,0.00014183855,0.0012271124,0.009881422,0.3450226,0.093302816,0.52771026,0.0030717102],"about_ca_topic_score_codex":0.00006701153,"about_ca_topic_score_gemma":0.000118510216,"teacher_disagreement_score":0.64332837,"about_ca_system_score_codex":0.00006990325,"about_ca_system_score_gemma":0.00013011692,"threshold_uncertainty_score":0.9998347},"labels":[],"label_agreement":null},{"id":"W2064661383","doi":"10.1016/j.febslet.2012.03.065","title":"Beyond hairballs: The use of quantitative mass spectrometry data to understand protein–protein interactions","year":2012,"lang":"en","type":"review","venue":"FEBS Letters","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto; Mount Sinai Hospital","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Mass spectrometry; Protein–protein interaction; Computational biology; Chemistry; Computer science; Data science; Data mining; Biology; Biochemistry; Chromatography","score_opus":0.22153337170172077,"score_gpt":0.38481759015773065,"score_spread":0.16328421845600988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064661383","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001469338,0.5845397,0.40311566,0.0032337985,0.000097032076,0.0039813095,0.0037679602,0.00021593871,0.0009016708],"genre_scores_gemma":[0.00011882763,0.4293265,0.5637509,0.0006471679,0.00047277688,0.0018110608,0.0015837111,0.0002509114,0.0020381103],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798113,0.00007067572,0.00067409,0.0006156544,0.00026650965,0.00039193506],"domain_scores_gemma":[0.99645114,0.00031229793,0.0006961345,0.002376347,0.000050913943,0.000113182854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020029575,0.00044144003,0.00082518446,0.00016030118,0.00016558923,0.00009369682,0.0013865042,0.0001693774,0.0002632733],"category_scores_gemma":[0.000119032025,0.00033272483,0.00024958877,0.0004954507,0.00016622529,0.00035938437,0.00050409336,0.00085934217,0.00006744183],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014283479,0.0007408548,0.0000071217382,0.037804533,0.002919604,0.000030800635,0.00093685143,0.00004908975,0.40790743,0.07951206,0.05738092,0.4125679],"study_design_scores_gemma":[0.000053667165,0.000014601212,1.2365764e-7,0.003247159,0.00033463308,0.000009442399,0.00007080565,0.0000075625408,0.002627698,0.000573859,0.9926814,0.00037908537],"about_ca_topic_score_codex":0.000057096677,"about_ca_topic_score_gemma":0.000017707602,"teacher_disagreement_score":0.93530047,"about_ca_system_score_codex":0.00029936704,"about_ca_system_score_gemma":0.00007990005,"threshold_uncertainty_score":0.9999125},"labels":[],"label_agreement":null},{"id":"W2064939127","doi":"10.1016/j.ghir.2009.04.019","title":"Detection of growth hormone responsive proteins using SELDI–TOF mass spectrometry","year":2009,"lang":"en","type":"article","venue":"Growth Hormone & IGF Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Growth hormone; Chemistry; Mass spectrometry; Gene isoform; Proteomics; Clearance; Surface-enhanced laser desorption/ionization; Endocrinology; Internal medicine; Hormone; Biology; Medicine; Chromatography; Biochemistry; Gene; Tandem mass spectrometry; Protein mass spectrometry","score_opus":0.038267255820695144,"score_gpt":0.34287803017029017,"score_spread":0.30461077434959505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064939127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88699096,0.001360223,0.102181055,0.0005364017,0.000010287057,0.0009787196,0.0000666569,0.00027642347,0.0075992765],"genre_scores_gemma":[0.92721367,0.00081842346,0.07106021,0.00002073984,0.00020788518,0.0002076511,0.000019081015,0.000056748304,0.0003955941],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99674934,0.0001201695,0.0005728761,0.000680109,0.0009924725,0.00088503707],"domain_scores_gemma":[0.9975297,0.00020489928,0.00023648549,0.0008183162,0.0009774297,0.00023317718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010105006,0.0002951758,0.000400939,0.00062502915,0.00046814093,0.00006778592,0.0006418116,0.00033897304,0.00005210175],"category_scores_gemma":[0.0005552867,0.00030772184,0.00016370101,0.0018567072,0.00027645248,0.00027839383,0.00017607352,0.0012725028,0.000023287534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052612036,0.00016977312,0.00007519765,0.00005386424,0.000027170066,0.000015784119,0.000087898836,0.0000035939481,0.9933683,0.0041637807,0.00016264747,0.0013458261],"study_design_scores_gemma":[0.00054932205,0.00053402915,0.0009395949,0.000050665196,0.000017582048,0.000026500951,0.00016753493,0.00043410304,0.9464826,0.05028234,0.00022262732,0.00029311742],"about_ca_topic_score_codex":0.00027496973,"about_ca_topic_score_gemma":0.000003685827,"teacher_disagreement_score":0.046885762,"about_ca_system_score_codex":0.00049958954,"about_ca_system_score_gemma":0.00019331274,"threshold_uncertainty_score":0.9999375},"labels":[],"label_agreement":null},{"id":"W2065080358","doi":"10.1385/cp:1:1:069","title":"Differential phosphoprofiles of EGF and EGFR kinase inhibitor-treated human tumor cells and mouse xenografts","year":2004,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Phosphorylation; Epidermal growth factor receptor; Epidermal growth factor; Kinase; Cancer research; Biology; A431 cells; Cancer cell; Chemistry; Growth factor; Cell biology; Molecular biology; Cell; Cancer; Receptor; Biochemistry; Cell cycle","score_opus":0.020932388870707298,"score_gpt":0.3121680783709965,"score_spread":0.2912356895002892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065080358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99558353,0.000063211985,0.0031822152,0.00007597086,0.000024327523,0.00056394376,0.00017415048,0.00014009916,0.00019254067],"genre_scores_gemma":[0.9491344,0.00021996936,0.05003037,0.000047128782,0.00016430116,0.00015535355,0.000050096,0.000043429594,0.00015496054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841744,0.000016028038,0.0007335716,0.00048411806,0.00011173513,0.00023712545],"domain_scores_gemma":[0.9989143,0.00006921839,0.0003245846,0.00043184293,0.000072904906,0.0001871769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011672542,0.00023178928,0.00041250026,0.000032854477,0.00015088389,0.00003391692,0.000179549,0.00023844109,0.00005483711],"category_scores_gemma":[0.00006322653,0.00022004591,0.00010622262,0.00007373652,0.00052790676,0.0000715199,0.00022037166,0.00043100014,0.000003410015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009258859,0.00035780313,0.004218376,0.0001309208,0.000022098528,0.0000048417023,0.00003136629,0.0000052229625,0.99245805,0.0018201175,0.00004075571,0.00081783754],"study_design_scores_gemma":[0.0014828334,0.00013337302,0.00031971643,0.00008908109,0.00003646004,0.000004398106,0.000026926931,0.000043781336,0.9887358,0.008639128,0.00024657656,0.00024195787],"about_ca_topic_score_codex":0.00007394607,"about_ca_topic_score_gemma":0.000006915349,"teacher_disagreement_score":0.04684815,"about_ca_system_score_codex":0.000037277212,"about_ca_system_score_gemma":0.000033669196,"threshold_uncertainty_score":0.8973212},"labels":[],"label_agreement":null},{"id":"W2065902723","doi":"10.1002/rcm.3128","title":"Quantitative analysis of a proteome by N‐terminal stable‐isotope labelling of tryptic peptides","year":2007,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Chemistry; Proteome; Stable isotope labeling by amino acids in cell culture; Isobaric labeling; Chromatography; Labelling; Quantitative proteomics; Peptide; Tandem mass spectrometry; Stable isotope ratio; Amino acid; Isotope; Lysine; Mass spectrometry; Biochemistry; Proteomics; Protein mass spectrometry","score_opus":0.02754038531815944,"score_gpt":0.3352472845299941,"score_spread":0.30770689921183464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065902723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71237147,0.002108329,0.27375695,0.00015720767,0.000004780216,0.00037540085,0.00021298247,0.00007473386,0.010938171],"genre_scores_gemma":[0.6053601,0.00089231826,0.39345494,0.0000052433543,0.0000035261796,0.000089582616,0.000098790166,0.000014385372,0.00008113662],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983369,0.000045568253,0.0008692514,0.0002562054,0.0002134045,0.0002786648],"domain_scores_gemma":[0.9967925,0.0005843517,0.0005790243,0.0018370103,0.00015385577,0.00005326945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067639997,0.00016850056,0.0004939686,0.0007989313,0.000099533565,0.000012488079,0.0011155597,0.00011864907,0.00027827834],"category_scores_gemma":[0.00011767587,0.00018739956,0.00016779298,0.0031819618,0.00029278887,0.00011041167,0.00017689764,0.00041804602,0.0000018572839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048680817,0.00041784692,0.008263058,0.00008473549,0.0002835764,5.8879175e-7,0.00024021635,0.00014293229,0.9665932,0.023146067,0.00001274174,0.0007663548],"study_design_scores_gemma":[0.00045560082,0.00013399159,0.0018963441,0.00015558797,0.00037297385,0.0000024823578,0.0016502604,0.011825252,0.97086716,0.011529066,0.0007363176,0.00037496223],"about_ca_topic_score_codex":0.00012881696,"about_ca_topic_score_gemma":0.00007117686,"teacher_disagreement_score":0.11969801,"about_ca_system_score_codex":0.00016356027,"about_ca_system_score_gemma":0.00004029716,"threshold_uncertainty_score":0.76419324},"labels":[],"label_agreement":null},{"id":"W2066449582","doi":"10.1155/2014/361590","title":"The Design of a Quantitative Western Blot Experiment","year":2014,"lang":"en","type":"review","venue":"BioMed Research International","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":407,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bio-Rad (Canada)","funders":"","keywords":"Blot; Western blot; Quantitative analysis (chemistry); Biology; Chemistry; Biochemistry; Chromatography","score_opus":0.30634878418451017,"score_gpt":0.545969136444218,"score_spread":0.2396203522597078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066449582","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000013456952,0.9488612,0.04700896,0.00022443924,0.00012717568,0.0007073234,0.0001541055,0.00004507217,0.0028704037],"genre_scores_gemma":[0.000012492493,0.9753018,0.01789371,0.00000277563,0.00023714521,0.002322556,0.000120863246,0.000040813884,0.0040678503],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99789715,0.0001685018,0.00056864513,0.00033520287,0.0007427825,0.0002877162],"domain_scores_gemma":[0.99700075,0.0016467612,0.00034638558,0.0005234132,0.00040986782,0.000072836556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011666727,0.00019070631,0.0004472561,0.00019591532,0.00018619644,0.000074465934,0.0014022822,0.0001725463,0.00015472384],"category_scores_gemma":[0.00031686103,0.0001230906,0.0001974363,0.00022221943,0.00043570946,0.000033009335,0.00036640212,0.0004958536,0.00007395399],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000617354,0.00023385158,0.0000011221085,0.0031242238,0.0005453132,0.0000043860073,0.000098193705,0.0000030555473,0.0036482587,0.0611264,0.008133295,0.9230202],"study_design_scores_gemma":[0.00007678075,0.00003590191,4.2313403e-8,0.0019743047,0.000014442429,0.0000056367016,0.000028360237,0.00010028886,0.0033832917,0.0016039821,0.9926606,0.00011641133],"about_ca_topic_score_codex":0.000015199295,"about_ca_topic_score_gemma":0.0000010834917,"teacher_disagreement_score":0.9845273,"about_ca_system_score_codex":0.00026163258,"about_ca_system_score_gemma":0.00023269946,"threshold_uncertainty_score":0.50194895},"labels":[],"label_agreement":null},{"id":"W2066450167","doi":"10.1586/14789450.2.5.631","title":"Uncovering early markers of cardiac disease by proteomics: avoiding (heart) failure!","year":2005,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Heart failure; Disease; Population; Medicine; Proteomics; Heart disease; Cardiology; Internal medicine; Biology; Genetics; Environmental health","score_opus":0.005552220124871269,"score_gpt":0.2840463310080364,"score_spread":0.2784941108831651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066450167","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034027162,0.78036785,0.03966368,0.0021038055,0.1360233,0.019933939,0.015354707,0.001016582,0.0021333857],"genre_scores_gemma":[0.0000980517,0.26741314,0.49884734,0.00007904834,0.22529325,0.005579546,0.001487272,0.00033551117,0.0008668616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995697,0.00010686705,0.0017340168,0.0009673588,0.0009378696,0.00055685],"domain_scores_gemma":[0.9954023,0.00031818385,0.0017664182,0.0017283116,0.00048445925,0.00030034906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007783686,0.0008065232,0.0018728733,0.0000934513,0.00015589356,0.00004235174,0.0010959258,0.00081077253,0.000166851],"category_scores_gemma":[0.0013295346,0.0008279061,0.000921845,0.00024965178,0.00021293903,0.00023488629,0.00038684497,0.0015521165,0.000013193831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011838594,0.00009097225,0.000023930874,0.016817782,0.00011099288,5.717738e-7,0.000037023696,0.000003557901,0.20667532,0.00004064635,0.7754553,0.0006255514],"study_design_scores_gemma":[0.00017891159,0.00004724589,2.686197e-7,0.018472385,0.00011137636,4.1573483e-7,0.000015372678,0.000006097889,0.2285443,0.00021669667,0.75178504,0.00062187336],"about_ca_topic_score_codex":0.000108670945,"about_ca_topic_score_gemma":0.0000016526814,"teacher_disagreement_score":0.5129548,"about_ca_system_score_codex":0.00038843686,"about_ca_system_score_gemma":0.0006321687,"threshold_uncertainty_score":0.9994172},"labels":[],"label_agreement":null},{"id":"W2067730243","doi":"10.1021/bc0503059","title":"Synthesis of Acid-Cleavable Light Isotope-Coded Affinity Tags (ICAT-<i>L</i>) for Potential Use in Proteomic Expression Profiling Analysis","year":2005,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Biotin; Proteome; Combinatorial chemistry; Peptide; Moiety; Tandem mass spectrometry; Linker; Reagent; Cysteine; Tandem mass tag; Mass spectrometry; Chromatography; Proteomics; Biochemistry; Quantitative proteomics; Stereochemistry; Enzyme; Organic chemistry","score_opus":0.014480988638033408,"score_gpt":0.255576423997918,"score_spread":0.24109543535988462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067730243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98783493,0.000081653656,0.009517606,0.00021896037,0.0000069871803,0.0007388375,0.00036082658,0.00016697048,0.0010731998],"genre_scores_gemma":[0.8639667,0.00007799995,0.132884,0.000020387752,0.0001162087,0.0019736816,0.00014113382,0.0000453325,0.0007745218],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980391,0.000012542587,0.00070472574,0.00065528986,0.0001792745,0.00040901624],"domain_scores_gemma":[0.99841785,0.000065316446,0.00044542964,0.00082261045,0.00013123316,0.000117549695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019726007,0.00030468157,0.0005122105,0.000080172096,0.0001198471,0.00004874556,0.0004465936,0.00035260362,0.00030666066],"category_scores_gemma":[0.00014762809,0.00031002995,0.00032137896,0.00035496816,0.00008120344,0.00021796241,0.00014536295,0.0002570566,0.0000056542904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017091747,0.00023222134,0.0011617157,0.00036099448,0.00007386911,0.0000013647551,0.000022823564,0.0003344488,0.99719375,0.000033839522,0.000100270285,0.00031378074],"study_design_scores_gemma":[0.00048476006,0.0000061697383,0.00002070091,0.000119996745,0.00016563191,0.0000027123613,0.0000430987,0.0019039275,0.99545026,0.00023876895,0.0012219774,0.00034198668],"about_ca_topic_score_codex":0.000033178738,"about_ca_topic_score_gemma":0.0000042390684,"teacher_disagreement_score":0.12386823,"about_ca_system_score_codex":0.0001428891,"about_ca_system_score_gemma":0.0000702892,"threshold_uncertainty_score":0.99993515},"labels":[],"label_agreement":null},{"id":"W2067913793","doi":"10.1021/pr0500354","title":"Human Tissue Profiling with Multidimensional Protein Identification Technology","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Proteome; Biology; Human Protein Atlas; Computational biology; Spleen; Bioinformatics; Protein expression; Molecular biology; Gene; Biochemistry; Immunology","score_opus":0.04170616749767225,"score_gpt":0.4052190610136786,"score_spread":0.36351289351600635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067913793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723798,0.00017839333,0.02173838,0.003758681,0.000005050235,0.000949993,0.0000061824976,0.00007508657,0.0009084417],"genre_scores_gemma":[0.6916691,0.0000097086195,0.30581582,0.000003548122,0.00022483099,0.0003968205,0.000003092455,0.000026532281,0.001850545],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981022,0.00003686456,0.0005470495,0.00023297114,0.00073212024,0.0003488284],"domain_scores_gemma":[0.99780023,0.00002775879,0.00039266903,0.0003807212,0.0012909191,0.00010768945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011909526,0.000120587654,0.00019423403,0.0004370126,0.00033698705,0.000043574553,0.0004325532,0.00016573338,0.0001817855],"category_scores_gemma":[0.00014976588,0.00009540366,0.000041181884,0.00052141125,0.00022725808,0.0002402095,0.000108015425,0.0012133076,0.00003293985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046908244,0.0001532804,0.00014655411,0.000062395,0.000016244532,0.0000124032995,0.000024120438,0.0000503951,0.98710644,0.007122806,0.00005883124,0.005199609],"study_design_scores_gemma":[0.00039702174,0.00017081363,0.000024972309,0.00018760737,0.000004991189,0.00013184974,0.000100968566,0.00011275236,0.98285186,0.0074049416,0.0085026845,0.0001095285],"about_ca_topic_score_codex":0.000004581806,"about_ca_topic_score_gemma":0.0000026935409,"teacher_disagreement_score":0.28407744,"about_ca_system_score_codex":0.00023509344,"about_ca_system_score_gemma":0.0001786066,"threshold_uncertainty_score":0.5271285},"labels":[],"label_agreement":null},{"id":"W2068179784","doi":"10.1021/pr060298d","title":"Proteome Resolution by Two-Dimensional Gel Electrophoresis Varies with the Commercial Source of IPG Strips","year":2006,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"STRIPS; Immobilized pH gradient; Chromatography; Proteome; Chemistry; Resolution (logic); Electrophoresis; Elution; Biophysics; Materials science; Biochemistry; Biology; Computer science; Enzyme","score_opus":0.02121439435496758,"score_gpt":0.32012565103847845,"score_spread":0.2989112566835109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068179784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95399773,0.00083269115,0.037983615,0.0048999623,0.000008668444,0.0010627819,0.00004812842,0.00003501125,0.0011314081],"genre_scores_gemma":[0.96524763,0.00004935488,0.032240164,0.000018875704,0.0003969652,0.00028130243,0.000013933179,0.000045498404,0.0017062606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972303,0.00019083632,0.0005828495,0.00021565237,0.001282628,0.00049773185],"domain_scores_gemma":[0.99748635,0.0003661306,0.00056707236,0.00039630115,0.0010863104,0.00009784507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873499,0.00017204671,0.00030986872,0.00017208705,0.0005600529,0.000065314154,0.0006190879,0.00012951653,0.00012386634],"category_scores_gemma":[0.00015939868,0.000110732544,0.00011444572,0.00056385266,0.0005407033,0.00015477673,0.00013899144,0.0016395794,0.0000035432072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008163901,0.00024071243,0.00026267103,0.000066334636,0.000043433847,0.0000064629517,0.000045571378,0.0008259996,0.98673445,0.00090634014,0.009455653,0.000595979],"study_design_scores_gemma":[0.00095101673,0.0004727506,0.00022360403,0.00014359159,0.0000250287,0.00009233724,0.00008973752,0.0003972388,0.9741558,0.0073289187,0.01595002,0.000169944],"about_ca_topic_score_codex":0.0003626021,"about_ca_topic_score_gemma":0.000022620063,"teacher_disagreement_score":0.01257864,"about_ca_system_score_codex":0.00022984462,"about_ca_system_score_gemma":0.000357716,"threshold_uncertainty_score":0.7123248},"labels":[],"label_agreement":null},{"id":"W2068303476","doi":"10.1002/elps.201300586","title":"Macroporous reversed‐phase separation of proteins combined with reversed‐phase separation of phosphopeptides and tandem mass spectrometry for profiling the phosphoproteome of MDA‐MB‐231 cells","year":2014,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Chemistry; Phosphopeptide; Fractionation; Phosphoproteomics; Mass spectrometry; Tandem mass spectrometry; Proteomics; Isobaric labeling; Proteome; Tandem mass tag; Peptide; Protein phosphorylation; Quantitative proteomics; Protein mass spectrometry; Biochemistry; Phosphorylation; Protein kinase A","score_opus":0.007325977938071577,"score_gpt":0.2801950156682794,"score_spread":0.2728690377302078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068303476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8033031,0.00025211708,0.19365951,0.00009551329,0.000010512216,0.0020709715,0.00015608282,0.0000574191,0.0003947654],"genre_scores_gemma":[0.84341776,0.0002739922,0.15519774,0.000017614593,0.00004143935,0.0006216167,0.000085107145,0.000047278132,0.0002974578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982391,0.000038809445,0.00066814205,0.00042788897,0.00030185873,0.0003242055],"domain_scores_gemma":[0.99792933,0.00015023918,0.0009247831,0.0006064885,0.00032086705,0.00006830731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003796234,0.00028511905,0.0005310113,0.000090569854,0.00017499663,0.000021332107,0.00026270887,0.00016026273,0.000059659626],"category_scores_gemma":[0.00008164202,0.00022572366,0.00012549573,0.00044081744,0.00023298169,0.00011978644,0.00003744087,0.0002204761,6.513616e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017847429,0.00030840153,0.000099380246,0.00035231508,0.000079955964,6.6749226e-7,0.00011503187,0.00005576518,0.99319905,0.0029868754,0.00018635171,0.00083144294],"study_design_scores_gemma":[0.0029866744,0.001985031,0.000009980764,0.000108352106,0.00013166622,0.000004754721,0.000109686735,0.0019023877,0.98832905,0.0035574983,0.0006317345,0.00024320038],"about_ca_topic_score_codex":0.00007299543,"about_ca_topic_score_gemma":0.000014244616,"teacher_disagreement_score":0.040114652,"about_ca_system_score_codex":0.000097763645,"about_ca_system_score_gemma":0.00010758618,"threshold_uncertainty_score":0.92047435},"labels":[],"label_agreement":null},{"id":"W2068400392","doi":"10.1039/b606798k","title":"Proteomics technology in systems biology","year":2006,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Proteomics; Systems biology; Data science; Biology; Genomics; Computer science; Engineering ethics; Computational biology; Engineering; Genome","score_opus":0.017462099065166117,"score_gpt":0.3222850980917487,"score_spread":0.3048229990265826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068400392","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000037835216,0.9834327,0.010640139,0.00002137479,0.00009157972,0.0019665137,0.00025866713,0.00042636038,0.0031248364],"genre_scores_gemma":[0.00044020658,0.98627645,0.0051312214,0.000004365255,0.00014456836,0.0067653162,0.0006263783,0.00017293675,0.00043855136],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972213,0.00006719192,0.0012012925,0.00086137454,0.000117169424,0.00053166033],"domain_scores_gemma":[0.9978998,0.00003239086,0.0007168546,0.0012331929,0.000057699694,0.000060113496],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001765496,0.0006066482,0.0018524462,0.00054555776,0.000058220154,0.000049185684,0.00083382137,0.001748108,0.000010441451],"category_scores_gemma":[0.000028558961,0.00055932853,0.0003252935,0.00079377095,0.00010257166,0.00002209761,0.0002091769,0.00079698896,0.000058060094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009003641,0.00052756787,0.00009692023,0.1672435,0.0004704821,0.00048063794,0.000013505399,0.000058402664,0.10172362,0.25634822,0.00066807284,0.47236007],"study_design_scores_gemma":[0.000117078285,0.000012799805,4.701476e-9,0.008242349,0.00008279141,0.00014331263,0.0000065383365,0.00003606695,0.003554854,0.001278009,0.9859633,0.00056290155],"about_ca_topic_score_codex":0.00016978117,"about_ca_topic_score_gemma":0.0000057940265,"teacher_disagreement_score":0.98529524,"about_ca_system_score_codex":0.00041256056,"about_ca_system_score_gemma":0.00015845185,"threshold_uncertainty_score":0.9996858},"labels":[],"label_agreement":null},{"id":"W2068523567","doi":"10.1021/ac034790h","title":"A Correlation Algorithm for the Automated Quantitative Analysis of Shotgun Proteomics Data","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":281,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institute for Theoretical Astrophysics; Office of Naval Research; National Institutes of Health; University of Vermont; National Institute of Allergy and Infectious Diseases","keywords":"Chemistry; Shotgun proteomics; Mass spectrometry; Shotgun; Quantitative proteomics; Outlier; Proteomics; Chromatography; Analytical Chemistry (journal); Data mining; Computer science; Artificial intelligence; Biochemistry","score_opus":0.04366565344311904,"score_gpt":0.3546277107012865,"score_spread":0.3109620572581675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068523567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008872884,0.00008582796,0.9856348,0.00011291346,0.0000058955216,0.00023496225,0.00077370415,0.0001627719,0.0041162446],"genre_scores_gemma":[0.40287262,0.00007668637,0.5928133,0.0000541719,0.000047679518,0.0003687202,0.0020792405,0.000043498814,0.0016440859],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893934,0.0000070617575,0.0003648786,0.0003595056,0.00014865342,0.00018055632],"domain_scores_gemma":[0.9981375,0.00045974713,0.00020404544,0.0009835225,0.000158559,0.000056680878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023493673,0.00013670328,0.00026792768,0.000025841582,0.000109049986,0.000020387972,0.00045754228,0.00014005185,0.00028108218],"category_scores_gemma":[0.0004072554,0.000109282824,0.00015135376,0.00057068706,0.00014449487,0.000064547996,0.000073347655,0.00017211305,0.0000016808804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034751004,0.0023135224,0.008620887,0.0012355755,0.01979567,0.000010042648,0.0005042039,0.040429357,0.7494742,0.14102553,0.011497057,0.024746433],"study_design_scores_gemma":[0.00014880799,0.0000049938026,0.000016572127,0.000009348107,0.0011005432,0.0000013782661,0.0001018635,0.8704467,0.12479768,0.0010882241,0.002166832,0.00011709361],"about_ca_topic_score_codex":0.000012628225,"about_ca_topic_score_gemma":0.0000017288226,"teacher_disagreement_score":0.8300173,"about_ca_system_score_codex":0.000043270233,"about_ca_system_score_gemma":0.00006332968,"threshold_uncertainty_score":0.44564244},"labels":[],"label_agreement":null},{"id":"W2068529673","doi":"10.1007/s11010-005-7556-1","title":"Proteome profiling of human epithelial ovarian cancer cell line TOV-112D","year":2005,"lang":"en","type":"article","venue":"Molecular and Cellular Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Notre-Dame; Centre Hospitalier de l’Université de Montréal; Wilfrid Laurier University; Université Laval","funders":"","keywords":"Proteome; Proteomics; Biology; Carcinogenesis; Two-dimensional gel electrophoresis; Tandem mass spectrometry; Cell culture; Ovarian cancer; Molecular biology; Computational biology; Cancer; Mass spectrometry; Bioinformatics; Chemistry; Biochemistry; Genetics; Gene; Chromatography","score_opus":0.00680574586670809,"score_gpt":0.25275265706037414,"score_spread":0.24594691119366605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068529673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970794,0.0015411058,0.019516714,0.00016824956,0.0000067111905,0.00021101224,0.0001063361,0.000087466164,0.007568365],"genre_scores_gemma":[0.96979845,0.000035617348,0.02878258,0.00005145091,0.0001701415,0.00021396005,0.00012652724,0.0000401353,0.00078115327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988527,0.00000668058,0.00031745643,0.0003956472,0.00014986651,0.00027760118],"domain_scores_gemma":[0.99918336,0.000006002371,0.00016786769,0.00045036763,0.0000690346,0.00012334198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007491196,0.00021413092,0.00020805081,0.0000151991035,0.00010104553,0.000018929775,0.00021687802,0.00021044443,0.00023428869],"category_scores_gemma":[0.00000720452,0.00022713358,0.00010060695,0.000071238464,0.000095307274,0.00003661736,0.00010927301,0.00020941888,0.0000017216382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011601118,0.000100096986,0.000075241835,0.0002958069,0.000016738648,0.0000046622786,0.00001879844,0.000021501155,0.9979672,0.0005568423,0.0000082282795,0.0009233198],"study_design_scores_gemma":[0.00039650916,0.000016176375,5.2463423e-7,0.00005548922,0.000035807767,0.0000043132095,0.000044751527,0.00014587886,0.9978088,0.0006651268,0.0005702476,0.0002563436],"about_ca_topic_score_codex":0.00006184064,"about_ca_topic_score_gemma":0.0000015583244,"teacher_disagreement_score":0.009265867,"about_ca_system_score_codex":0.00006214187,"about_ca_system_score_gemma":0.00004585711,"threshold_uncertainty_score":0.9262239},"labels":[],"label_agreement":null},{"id":"W2068550315","doi":"10.1007/s00726-006-0460-5","title":"Applications and current challenges of proteomic approaches, focusing on two-dimensional electrophoresis","year":2006,"lang":"en","type":"review","venue":"Amino Acids","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Proteome; Computer science; Computational biology; Biochemical engineering; Nanotechnology; Data science; Biology; Bioinformatics; Engineering; Materials science","score_opus":0.059382344398975086,"score_gpt":0.3268632678274422,"score_spread":0.2674809234284671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068550315","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009099247,0.99402845,0.0015897912,0.000025543673,0.000007948127,0.0012107161,0.00014783244,0.000102248356,0.0027965081],"genre_scores_gemma":[0.00028917965,0.98010784,0.014501342,0.0000024251628,0.00023460176,0.0043892055,0.00030050633,0.00007988759,0.000095030984],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982867,0.00002494015,0.00056447514,0.00065688865,0.00019280532,0.00027417162],"domain_scores_gemma":[0.99857277,0.00009518502,0.0005146826,0.0007035516,0.00004488539,0.000068930036],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009546895,0.00043157954,0.0009004551,0.00012543483,0.0001185811,0.00001600466,0.0002991872,0.0002604133,0.00001365909],"category_scores_gemma":[0.000007806455,0.00038647026,0.0002273644,0.00015300894,0.00013467118,0.000032380132,0.00013162915,0.00053456944,0.000008264445],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033443825,0.00014004651,0.0000011327102,0.0067741987,0.0000344503,3.370796e-7,0.000004141321,0.0000028677593,0.0003688037,0.014870885,0.000038194998,0.9777616],"study_design_scores_gemma":[0.00016621272,0.00003317124,0.0000012966912,0.0035809213,0.0003349918,0.0000262467,0.000002531222,0.000022609831,0.007372796,0.0049473397,0.98299104,0.0005208682],"about_ca_topic_score_codex":0.000008460765,"about_ca_topic_score_gemma":0.000001388726,"teacher_disagreement_score":0.98295283,"about_ca_system_score_codex":0.00013431227,"about_ca_system_score_gemma":0.00010743069,"threshold_uncertainty_score":0.99985874},"labels":[],"label_agreement":null},{"id":"W2068867442","doi":"10.1016/j.jchromb.2004.12.009","title":"Database independent detection of isotopically labeled MS/MS spectrum peptide pairs","year":2004,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Mass spectrometry; Peptide; Chromatography; Profiling (computer programming); Tandem mass spectrometry; Analytical Chemistry (journal); Computational biology; Biochemistry; Computer science","score_opus":0.00786390955930412,"score_gpt":0.24492015992563462,"score_spread":0.2370562503663305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068867442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9193167,0.00019700975,0.07893006,0.00024550298,0.00003807401,0.000098800214,0.000022558914,0.00004899017,0.0011022717],"genre_scores_gemma":[0.96688986,0.00029676297,0.032589752,0.000029775905,0.00013550212,0.000013261324,0.0000044542808,0.000019567524,0.000021048683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998765,0.000009745903,0.0006017995,0.00014256548,0.0003045587,0.00017635913],"domain_scores_gemma":[0.99874324,0.000026690604,0.0006847119,0.0003149662,0.000118371,0.00011199695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487286,0.00013941739,0.00026342744,0.00017320878,0.00006744846,0.000017734528,0.0002800542,0.00010385025,0.00012710631],"category_scores_gemma":[0.000024680527,0.00012617584,0.00027821315,0.00027418634,0.00007543465,0.00017537859,0.000044641045,0.00037269873,0.000002101802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056986082,0.0002209316,0.0024356386,0.00007954239,0.00007331304,0.000018648025,0.000033548145,0.000044664615,0.9948185,0.0017107524,0.000045226538,0.0004622523],"study_design_scores_gemma":[0.00091315433,0.000119444165,0.0010561029,0.00017669522,0.000044566787,0.00021185081,0.00004641843,0.0000097637385,0.9814106,0.01358303,0.0022954368,0.0001329384],"about_ca_topic_score_codex":0.000034867906,"about_ca_topic_score_gemma":0.000031620762,"teacher_disagreement_score":0.04757314,"about_ca_system_score_codex":0.00006228011,"about_ca_system_score_gemma":0.00006508815,"threshold_uncertainty_score":0.5145301},"labels":[],"label_agreement":null},{"id":"W2068892582","doi":"10.1021/pr100205k","title":"Identification of Tandem Mass Spectra of Mixtures of Isomeric Peptides","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of General Medical Sciences","keywords":"Chemistry; Footprinting; Peptide; Shotgun proteomics; Tandem mass spectrometry; Mass spectrometry; Mass spectrum; Proteomics; Chromatography; Bottom-up proteomics; Protein mass spectrometry; Biochemistry; DNA","score_opus":0.03164577638168729,"score_gpt":0.37799586416580744,"score_spread":0.34635008778412013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068892582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978758,0.00019790571,0.018671969,0.00025859204,0.00002160113,0.00031221312,0.000024126493,0.000008068062,0.0017475277],"genre_scores_gemma":[0.9457302,0.00025397667,0.053499177,9.195209e-7,0.00011895227,0.000033607997,0.0000013581887,0.00001603996,0.00034578054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802583,0.000038063215,0.00090443104,0.00012430252,0.0007160313,0.00019131115],"domain_scores_gemma":[0.9970685,0.00015239498,0.0010665116,0.00040068102,0.0012367901,0.00007507027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610848,0.000084339146,0.0003015144,0.00027468134,0.00005347665,0.000013075598,0.00055410387,0.00012605773,0.0002131164],"category_scores_gemma":[0.00046881862,0.00007167171,0.00014209103,0.00041803363,0.00032058265,0.00012553617,0.000059600927,0.0008719973,0.0000018167194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058249945,0.00013840395,0.0010998074,0.00028284028,0.0000284002,0.0000014695947,0.00007501076,0.000009292072,0.99488693,0.0020851654,0.00007901502,0.0012553855],"study_design_scores_gemma":[0.00020229752,0.000102900274,0.0006011874,0.000101779406,0.0000095404275,0.000017207652,0.00010210366,0.00005198136,0.9618744,0.036625575,0.00025654986,0.00005446511],"about_ca_topic_score_codex":0.000016481661,"about_ca_topic_score_gemma":0.0000017299365,"teacher_disagreement_score":0.034827206,"about_ca_system_score_codex":0.00003868472,"about_ca_system_score_gemma":0.00017236262,"threshold_uncertainty_score":0.37884432},"labels":[],"label_agreement":null},{"id":"W2069393486","doi":"10.1089/cmb.2005.12.971","title":"Finding Cancer Biomarkers from Mass Spectrometry Data by Decision Lists","year":2005,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; USable; Biomarker; Cancer; Computational biology; Machine learning; Biomarker discovery; Cancer biomarkers; Decision tree; Artificial intelligence; Data mining; Proteomics; Bioinformatics; Medicine; Biology","score_opus":0.026119018219900487,"score_gpt":0.3591833970151411,"score_spread":0.33306437879524065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069393486","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31204635,0.0014321975,0.6838478,0.0015538232,0.00006543077,0.000031461062,0.0007107402,0.000018688957,0.0002935294],"genre_scores_gemma":[0.49224004,0.00023389625,0.50669426,0.00013146672,0.0003529577,0.0000025129614,0.0003127533,0.0000081287635,0.000023944398],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991639,0.000012035449,0.00040298793,0.00017787647,0.00012198784,0.00012118821],"domain_scores_gemma":[0.9988322,0.0004049324,0.00041426008,0.0001832171,0.00010204457,0.000063349355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001347639,0.000091701404,0.00016945277,0.00007288467,0.00006147509,0.000017681024,0.00048450817,0.000096878786,0.00066895137],"category_scores_gemma":[0.000061231825,0.00008080486,0.000049034865,0.000100402875,0.000048756265,0.00013540621,0.000085871536,0.00019975398,0.000007961919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019365727,0.00013094833,0.0076294914,0.00000801212,0.0002705735,0.0000052774662,0.00002894444,0.0058538076,0.8236658,0.0012496646,0.029607762,0.13135605],"study_design_scores_gemma":[0.0024985957,0.00012046771,0.0022099025,0.00021866486,0.00011530823,0.00014055472,0.000068293855,0.040652707,0.20629503,0.43886736,0.30815366,0.0006594603],"about_ca_topic_score_codex":0.000016882494,"about_ca_topic_score_gemma":0.0000027791677,"teacher_disagreement_score":0.6173708,"about_ca_system_score_codex":0.000116371186,"about_ca_system_score_gemma":0.00007293646,"threshold_uncertainty_score":0.73245484},"labels":[],"label_agreement":null},{"id":"W2070563411","doi":"10.1016/j.ab.2003.10.047","title":"Visible fluorescent detection of proteins in polyacrylamide gels without staining","year":2004,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":297,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"ExxonMobil Research and Engineering Company","keywords":"Polyacrylamide gel electrophoresis; Fluorescence; Gel electrophoresis; Chemistry; Chromatography; Staining; Two-dimensional gel electrophoresis; Coomassie Brilliant Blue; Polyacrylamide; Gel electrophoresis of proteins; Color marker; Polymerization; Stain; Biochemistry; Biology; Proteomics; Polymer; Organic chemistry; Polymer chemistry","score_opus":0.009424703282313217,"score_gpt":0.2761471100058603,"score_spread":0.2667224067235471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070563411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97162664,0.0000655758,0.024689367,0.00016238326,0.000003948071,0.00012851533,0.00001588294,0.00009033925,0.0032173304],"genre_scores_gemma":[0.9885272,0.000025096395,0.0111027155,0.00002239329,0.000048762777,0.00007901545,0.00001619389,0.000019247373,0.00015937837],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889034,0.0000032803398,0.00035924936,0.00031821808,0.00016904813,0.00025986216],"domain_scores_gemma":[0.99932986,0.00001798779,0.0001136273,0.00038938472,0.00005766471,0.000091459355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085169006,0.00014850801,0.00020417752,0.000043852684,0.000043152726,0.000012984636,0.00018327105,0.00017602825,0.000058948193],"category_scores_gemma":[0.000092907314,0.00015363697,0.00008206879,0.00024546662,0.000112666,0.0000461268,0.00007043227,0.0002837788,0.0000048661173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003079777,0.00012382923,0.0012528753,0.00010580752,0.000010913541,0.0000034240168,0.000017916273,0.00010457168,0.9957704,0.000875257,0.0000015639444,0.0017026406],"study_design_scores_gemma":[0.00041031017,0.000017723145,0.00006712286,0.00013408004,0.0000130942535,0.0000057595134,0.000081247315,0.00050976255,0.99373907,0.0047668586,0.00009277912,0.00016216424],"about_ca_topic_score_codex":0.00011413689,"about_ca_topic_score_gemma":0.000009111455,"teacher_disagreement_score":0.016900538,"about_ca_system_score_codex":0.00021644837,"about_ca_system_score_gemma":0.00008450468,"threshold_uncertainty_score":0.62651336},"labels":[],"label_agreement":null},{"id":"W2071609712","doi":"10.1038/nbt.1905","title":"Selected reaction monitoring mass spectrometry reveals the dynamics of signaling through the GRB2 adaptor","year":2011,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Spinal Cord Injury BC; Sciex (Canada); Sanofi (Canada); Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Signal transducing adaptor protein; GRB2; Effector; Context (archaeology); Cell biology; Proteomics; Function (biology); Chemistry; Signal transduction; Computational biology; Biology; Biochemistry; Gene","score_opus":0.013294072724699516,"score_gpt":0.2644881043630161,"score_spread":0.2511940316383166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071609712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8742186,0.0017687274,0.11174917,0.005064832,0.00020727285,0.00055142975,0.000079304504,0.0010966372,0.005264027],"genre_scores_gemma":[0.90155977,0.00034815888,0.097713314,0.00002671773,0.00011600845,0.000066819055,0.000011005214,0.000024668034,0.00013353731],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991167,0.000014396622,0.00024827867,0.00026634344,0.00012352772,0.0002307439],"domain_scores_gemma":[0.9987876,0.000087401204,0.00027703578,0.000724333,0.0001092917,0.000014339866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011560164,0.00014988182,0.0001669605,0.00005207363,0.00017640274,0.0000065311315,0.00062399614,0.0010817656,0.000026897489],"category_scores_gemma":[0.0001316008,0.00009715993,0.000063374646,0.00065248675,0.00019136393,0.000053069583,0.00008783273,0.0017332167,0.0000021042165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017596849,0.000021855283,0.00029401362,0.00001407456,0.000029396311,7.9221854e-7,0.00004742546,9.258459e-7,0.92760664,0.071059674,0.000042519405,0.00086508045],"study_design_scores_gemma":[0.00006770155,0.00002274057,0.00009212006,0.000031854448,0.000026049642,0.000017468175,0.00032239733,0.00006797807,0.95355177,0.04453233,0.0011658287,0.00010175312],"about_ca_topic_score_codex":0.00003629747,"about_ca_topic_score_gemma":0.0000046374807,"teacher_disagreement_score":0.027341174,"about_ca_system_score_codex":0.00013107414,"about_ca_system_score_gemma":0.000021896303,"threshold_uncertainty_score":0.8343567},"labels":[],"label_agreement":null},{"id":"W2071777796","doi":"10.1142/s021972000300023x","title":"BIOINFORMATICS MEETS PROTEOMICS — BRIDGING THE GAP BETWEEN MASS SPECTROMETRY DATA ANALYSIS AND CELL BIOLOGY","year":2003,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Proteome; Computational biology; Context (archaeology); Bridging (networking); Mass spectrometry; Identification (biology); Systems biology; Biomarker discovery; Biology; Bioinformatics; Computer science; Data science; Chemistry; Biochemistry; Chromatography","score_opus":0.02296125878695445,"score_gpt":0.2901927437328728,"score_spread":0.26723148494591836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071777796","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092683144,0.00029713984,0.904947,0.00049614283,0.00002140242,0.00011248429,0.00027955015,0.000014087176,0.0011490387],"genre_scores_gemma":[0.37382793,0.00035282265,0.6254478,0.00010863103,0.000059539343,0.0000032669088,0.0001858608,0.0000061337464,0.0000079691235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986916,0.000028745806,0.0008482718,0.00012459721,0.000104956845,0.00020181674],"domain_scores_gemma":[0.9982275,0.00033269695,0.00091991376,0.00028875825,0.00013782304,0.00009333059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060485944,0.00016045732,0.00036365067,0.0002235233,0.00019844472,0.000066928675,0.0003798081,0.00013283604,0.000021657974],"category_scores_gemma":[0.00008440673,0.00011068488,0.00007552905,0.00031811485,0.00020136037,0.00019743672,0.00014997215,0.00031149658,0.000001526413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026876776,0.0006028108,0.26696545,0.0020205374,0.009716545,0.000015610758,0.0037774693,0.020815564,0.12669566,0.37528917,0.002056909,0.19177552],"study_design_scores_gemma":[0.0020727792,0.00041417265,0.0017386149,0.000069677386,0.0013873633,0.00037707924,0.0011878798,0.695576,0.026037168,0.25428495,0.015949694,0.00090460345],"about_ca_topic_score_codex":0.0000034785771,"about_ca_topic_score_gemma":5.9892074e-7,"teacher_disagreement_score":0.67476046,"about_ca_system_score_codex":0.00002741861,"about_ca_system_score_gemma":0.00007993413,"threshold_uncertainty_score":0.45135984},"labels":[],"label_agreement":null},{"id":"W2072218937","doi":"10.1373/clinchem.2007.091470","title":"Analytical Validation of Serum Proteomic Profiling for Diagnosis of Prostate Cancer: Sources of Sample Bias","year":2007,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Alberta Health Services","funders":"National Cancer Institute","keywords":"Prostate cancer; Medicine; Prostate; Profiling (computer programming); Oncology; Internal medicine; Cancer; Algorithm; Computer science","score_opus":0.07336208687758376,"score_gpt":0.40282337700170034,"score_spread":0.32946129012411657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072218937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99674547,0.00009105952,0.0015660314,0.00010129743,0.00001073829,0.00042298398,0.00077816326,0.00003973279,0.0002445128],"genre_scores_gemma":[0.9691811,0.0001846372,0.029962195,0.000007649568,0.00011756523,0.0003345012,0.00007171864,0.000023720038,0.00011686497],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981028,0.000006862717,0.0012281764,0.0003039476,0.00015205023,0.00020619035],"domain_scores_gemma":[0.9974146,0.0009800881,0.0008649772,0.0003787087,0.0002762353,0.0000853828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063973985,0.000134306,0.00042850277,0.000017522216,0.000033493296,0.0000041309145,0.00024248341,0.00023963518,0.00009917303],"category_scores_gemma":[0.0011175782,0.00013149207,0.00023942924,0.00013796976,0.0002615369,0.000035887635,0.00007127529,0.00020083142,1.9499637e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013946216,0.00027095526,0.97298294,0.0012655086,0.000048777278,1.6320982e-7,0.000018819032,0.000052032006,0.02052035,0.00014727704,0.000023183944,0.0045305127],"study_design_scores_gemma":[0.00046444166,0.000037206413,0.0005858782,0.00017937762,0.0000752046,4.0561116e-7,0.000050232215,0.00032239142,0.99556166,0.0021856704,0.00041325166,0.0001242525],"about_ca_topic_score_codex":0.000018879593,"about_ca_topic_score_gemma":8.382169e-7,"teacher_disagreement_score":0.97504133,"about_ca_system_score_codex":0.00003274466,"about_ca_system_score_gemma":0.0001002374,"threshold_uncertainty_score":0.53620905},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2072436950","doi":"10.1007/bf02752500","title":"Comparison of protein expression lists from mass spectrometry of human blood fluids using exact peptide sequences versus BLAST","year":2006,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Cancer Technologies; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"RefSeq; Sequence database; Peptide; Proteomics; Peptide mass fingerprinting; Human blood; Tandem mass spectrometry; Database search engine; Mass spectrometry; Peptide sequence; Human proteins; Tandem mass tag; Sequence (biology); Biology; Human genome; Computational biology; Protein sequencing; Bottom-up proteomics; Gene; Chemistry; Biochemistry; Protein mass spectrometry; Quantitative proteomics; Genome; Chromatography; Computer science","score_opus":0.0761722022654804,"score_gpt":0.4071007923741861,"score_spread":0.33092859010870573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072436950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9471651,0.00010977767,0.050399188,0.000020974845,0.00003528723,0.0005791354,0.00013834739,0.000101283345,0.0014509342],"genre_scores_gemma":[0.6304769,0.000009288,0.36907387,0.000002248025,0.00022830196,0.00005838625,0.00005954907,0.000028566805,0.00006289495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972839,0.000054563672,0.0015760821,0.00052420277,0.00028429282,0.00027700322],"domain_scores_gemma":[0.9976891,0.0002571383,0.0010915833,0.00073985365,0.00012931785,0.00009300134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028568145,0.00025348482,0.00070226955,0.000059071368,0.00012444926,0.00002204913,0.0005215593,0.0003857229,0.00015044636],"category_scores_gemma":[0.00018447034,0.0002522602,0.00025272366,0.0001852627,0.00042772043,0.000108770335,0.00016416318,0.00058487244,0.0000028952734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001894053,0.0005521806,0.018063543,0.00009348253,0.000031620842,0.0000016775718,0.000016867738,0.000109923705,0.9802162,0.0006136052,0.000021457976,0.00009005561],"study_design_scores_gemma":[0.0011830799,0.00022332874,0.00030572392,0.00031652136,0.00007050252,5.6730715e-7,0.000067150264,0.0009691221,0.9811834,0.0153812505,0.000047533005,0.00025181033],"about_ca_topic_score_codex":0.0003719971,"about_ca_topic_score_gemma":0.0000138254845,"teacher_disagreement_score":0.31867465,"about_ca_system_score_codex":0.0000683371,"about_ca_system_score_gemma":0.00008221906,"threshold_uncertainty_score":0.99999297},"labels":[],"label_agreement":null},{"id":"W2072531557","doi":"10.1002/pmic.201100264","title":"Mining the malignant ascites proteome for pancreatic cancer biomarkers","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Proteome; Biomarker discovery; Pancreatic cancer; Biomarker; Cancer biomarkers; Ascitic fluid; Ascites; Mesothelin; Proteomics; Cancer; Orbitrap; Biology; Computational biology; Blood proteins; Bioinformatics; Cancer research; Medicine; Mass spectrometry; Chemistry; Internal medicine; Biochemistry; Chromatography","score_opus":0.039146534229949716,"score_gpt":0.28666315797368436,"score_spread":0.24751662374373465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072531557","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7519912,0.00043609316,0.23533128,0.00085803715,0.000062272324,0.004132374,0.00018534904,0.00044739112,0.0065559633],"genre_scores_gemma":[0.24365894,0.00017437957,0.73170024,0.00017279139,0.00017761391,0.022975285,0.000023195642,0.00008184584,0.0010357316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889743,0.0000084834555,0.00029235813,0.0003418477,0.000102090045,0.00035781245],"domain_scores_gemma":[0.99908006,0.00005389007,0.00021763709,0.0005041317,0.00008743309,0.00005687079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019411437,0.00020322509,0.00018396058,0.000031152384,0.00029847008,0.00003629215,0.00044211396,0.000112759546,0.00023470592],"category_scores_gemma":[0.00006276345,0.00014680732,0.000113057446,0.00012973562,0.00012289935,0.0000883266,0.000088578934,0.00013349022,0.000006169432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022770175,0.000103755185,0.004918575,0.0003330679,0.00017637042,0.0000015791857,0.0009972143,0.000011417243,0.97288334,0.006881879,0.00066893373,0.012796155],"study_design_scores_gemma":[0.0002906946,0.000028155684,0.0000973585,0.00010409043,0.000053037715,0.0000066702623,0.0001987547,0.001470514,0.97537357,0.016419627,0.00568449,0.0002730462],"about_ca_topic_score_codex":0.0001184507,"about_ca_topic_score_gemma":0.000012606621,"teacher_disagreement_score":0.5083323,"about_ca_system_score_codex":0.00007737964,"about_ca_system_score_gemma":0.0000592365,"threshold_uncertainty_score":0.59866285},"labels":[],"label_agreement":null},{"id":"W2073329287","doi":"10.1016/j.ygcen.2009.01.023","title":"Towards functional genomics in fish using quantitative proteomics","year":2009,"lang":"en","type":"review","venue":"General and Comparative Endocrinology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Biology; Computational biology; Fish <Actinopterygii>; Proteomics; Functional genomics; Genomics; Evolutionary biology; Genetics; Bioinformatics; Genome; Fishery; Gene","score_opus":0.18306399494258024,"score_gpt":0.3940405739951562,"score_spread":0.21097657905257594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073329287","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005287744,0.9801733,0.010065721,0.000056142308,0.000056668894,0.000795323,0.00023855918,0.0000894077,0.003237143],"genre_scores_gemma":[0.000049525017,0.90998447,0.08857045,0.00006008245,0.00017790751,0.00050141575,0.00026119215,0.000022815224,0.00037214666],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982733,0.000060537623,0.0005744117,0.0006002853,0.000076347686,0.00041508116],"domain_scores_gemma":[0.9992395,0.000056125333,0.00032950696,0.0002528353,0.00005524673,0.000066801],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000039497452,0.00044436177,0.0013320777,0.00014578253,0.00012810442,0.000028126648,0.00021870637,0.000250328,0.00007182653],"category_scores_gemma":[0.0000075973053,0.0004073646,0.00016787344,0.00016999195,0.0001687859,0.00006110699,0.00015582351,0.000670804,0.000008007017],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009815677,0.00029542448,0.00003089286,0.0025162234,0.00030215475,0.000055315126,0.00022414516,0.0004986902,0.0029851268,0.21479428,0.00047663323,0.77772295],"study_design_scores_gemma":[0.00030999363,0.00005946503,0.000011198902,0.0005829251,0.00011814213,0.00024467288,0.00004821269,0.0007560593,0.001370585,0.007315833,0.9885914,0.000591567],"about_ca_topic_score_codex":0.00004462927,"about_ca_topic_score_gemma":0.000043212123,"teacher_disagreement_score":0.9881147,"about_ca_system_score_codex":0.0002573461,"about_ca_system_score_gemma":0.00021793536,"threshold_uncertainty_score":0.9998378},"labels":[],"label_agreement":null},{"id":"W2073584950","doi":"10.1002/jms.1786","title":"Protein PTMs: post‐translational modifications or pesky trouble makers?","year":2010,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Center for Research Resources; National Institute of General Medical Sciences","keywords":"Chemistry; Posttranslational modification; Reliability (semiconductor); Field (mathematics); Computational biology; Mass spectrometry; Biochemistry; Chromatography","score_opus":0.014638660395660552,"score_gpt":0.28111690252213956,"score_spread":0.266478242126479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073584950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7276078,0.0001169752,0.24526085,0.0062846546,0.000111397814,0.0003148124,0.000105587096,0.0001275716,0.020070365],"genre_scores_gemma":[0.5811717,0.000021402884,0.41663328,0.000035850975,0.0003844354,0.0000323954,0.000009199264,0.000024408206,0.0016873042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867904,0.0000087707,0.0005452546,0.00018018598,0.00035069394,0.00023607179],"domain_scores_gemma":[0.9986194,0.0000771941,0.00049402466,0.00036009063,0.00030309276,0.00014620728],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002235946,0.00015889331,0.00022933754,0.00020537828,0.00014152243,0.00005870862,0.00042024683,0.00015983978,0.0034998814],"category_scores_gemma":[0.00012265301,0.00013101421,0.00018048019,0.00032776955,0.00007134415,0.00024451863,0.000020492671,0.0009650171,0.000020691588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111355555,0.00014776256,0.0002153004,0.000025544126,0.00003686011,0.000009134357,0.000027712304,0.000016801507,0.976851,0.02144228,0.00022971733,0.0008865325],"study_design_scores_gemma":[0.0010704144,0.00014724796,0.00049836823,0.000058037196,0.000058704176,0.00042875405,0.00018165712,0.00035015127,0.92122453,0.056267586,0.019380711,0.00033381605],"about_ca_topic_score_codex":0.000004567307,"about_ca_topic_score_gemma":0.0000067318583,"teacher_disagreement_score":0.17137244,"about_ca_system_score_codex":0.000065517524,"about_ca_system_score_gemma":0.00019414081,"threshold_uncertainty_score":0.9974111},"labels":[],"label_agreement":null},{"id":"W2073704219","doi":"10.1016/j.jprot.2011.09.027","title":"CysTRAQ — A combination of iTRAQ and enrichment of cysteinyl peptides for uncovering and quantifying hidden proteomes","year":2011,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Grantová Agentura České Republiky; Canadian Institute for Theoretical Astrophysics","keywords":"Proteome; Shotgun proteomics; Proteomics; Computational biology; Quantitative proteomics; Isobaric labeling; Mass spectrometry; Chemistry; Shotgun; Fractionation; Peptide; Label-free quantification; Cysteine; Chromatography; Biology; Biochemistry; Enzyme","score_opus":0.043105856827011894,"score_gpt":0.28906522528099055,"score_spread":0.24595936845397864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073704219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9252183,0.00018434359,0.07373337,0.000033902605,0.0000122156025,0.0005133797,0.000021937096,0.000009009195,0.00027354242],"genre_scores_gemma":[0.6565301,0.00014873446,0.343214,0.000002818983,0.000021808646,0.00005065753,9.919547e-7,0.0000113921315,0.000019532268],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906033,0.000008217826,0.00058450334,0.00011353451,0.0001233142,0.00011008103],"domain_scores_gemma":[0.998553,0.000053861386,0.0009859961,0.0001253954,0.00023052965,0.000051219868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031191358,0.00011089704,0.00029068737,0.000074576696,0.000047932037,0.000011371943,0.00012450138,0.00008258016,0.000011595341],"category_scores_gemma":[0.000075193675,0.00010093585,0.00007066114,0.000050867504,0.00007790257,0.00015516147,0.000049039183,0.00013584831,5.7473873e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016054841,0.00010707417,0.0039041347,0.0008199955,0.00004964297,0.0000010175467,0.00062955625,0.000006626226,0.9859971,0.005757598,0.0000046791392,0.0025620416],"study_design_scores_gemma":[0.0008454021,0.00029136377,0.0005885343,0.00032080908,0.000047293226,0.00004648436,0.0003306929,0.00015451407,0.9748799,0.022318749,0.00007084474,0.000105371255],"about_ca_topic_score_codex":0.000018119114,"about_ca_topic_score_gemma":0.000001201139,"teacher_disagreement_score":0.26948065,"about_ca_system_score_codex":0.000038883336,"about_ca_system_score_gemma":0.000054768123,"threshold_uncertainty_score":0.41160446},"labels":[],"label_agreement":null},{"id":"W2074042777","doi":"10.1186/1477-5956-6-6","title":"Data mining of plasma peptide chromatograms for biomarkers of air contaminant exposures","year":2008,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Chromatography; Biomarker; Chemistry; Sample (material); Pattern recognition (psychology); Computer science; Biological system; Artificial intelligence; Biology","score_opus":0.04958746140592324,"score_gpt":0.3132528103853469,"score_spread":0.2636653489794237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074042777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585738,0.000041572985,0.039341874,0.00005105063,0.000013709087,0.0005413842,0.00026874183,0.000056475066,0.0011113731],"genre_scores_gemma":[0.6774856,0.000017565715,0.32216415,0.0000040661484,0.000011108174,0.0002101439,0.000016684213,0.0000079600395,0.00008273433],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877274,0.000003346268,0.0003376539,0.0003930756,0.00024954687,0.00024363125],"domain_scores_gemma":[0.9985713,0.00006760127,0.00030757894,0.0008421928,0.00014788886,0.00006345818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003526794,0.00010256126,0.00018592578,0.00006759018,0.0001989714,0.0000061033147,0.0011264028,0.00004454023,0.000014210373],"category_scores_gemma":[0.00022672537,0.000093367664,0.00004012494,0.00035127508,0.0010354377,0.00023428154,0.00028555444,0.00005118793,6.841299e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023504432,0.000047778183,0.002067774,0.00011668403,0.000006627273,6.116744e-7,0.00011353457,0.000007831565,0.9945021,0.00029636448,0.00009041102,0.002726747],"study_design_scores_gemma":[0.00024465215,0.000053980988,0.00039726717,0.00008708909,0.0000061964647,0.00001858951,0.00013497812,0.002614876,0.9944272,0.00030323217,0.0015990317,0.00011291834],"about_ca_topic_score_codex":0.000033811288,"about_ca_topic_score_gemma":0.0000043685745,"teacher_disagreement_score":0.28282228,"about_ca_system_score_codex":0.000024898147,"about_ca_system_score_gemma":0.00016479538,"threshold_uncertainty_score":0.38151136},"labels":[],"label_agreement":null},{"id":"W2074948451","doi":"10.1007/bf02443652","title":"A novel procedure for separating small peptides on polyacrylamide gels","year":2003,"lang":"en","type":"article","venue":"Letters in Peptide Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Isoelectric focusing; Peptide; Glycine; Chromatography; Isoelectric point; Coomassie Brilliant Blue; Polyacrylamide gel electrophoresis; Polyacrylamide; Electrophoresis; Amino acid; Staining; Biochemistry; Polymer chemistry","score_opus":0.022310165500352065,"score_gpt":0.2901943931735823,"score_spread":0.2678842276732302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074948451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89148587,0.000011120367,0.09536631,0.0011965967,0.000028567696,0.00041418642,0.000017653916,0.00012549474,0.011354214],"genre_scores_gemma":[0.6533303,0.0000024703031,0.34358618,0.002086695,0.000044185184,0.0004731754,0.0000025598224,0.00001838752,0.0004560393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985296,0.0000038699677,0.00024724475,0.0005532921,0.00018942691,0.00047654836],"domain_scores_gemma":[0.9992698,0.00010925542,0.00011875344,0.00038451803,0.00004517637,0.00007253864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035345388,0.00016277729,0.0001334679,0.00010002302,0.0002742427,0.00007296324,0.00045949026,0.000053558553,0.000014404213],"category_scores_gemma":[0.0003549423,0.00016213945,0.000052434934,0.0004187616,0.0002766715,0.00015589163,0.000042742307,0.00022133853,0.000005836972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006703573,0.00004045268,0.000685081,0.000032172054,0.0000011420723,9.34419e-7,0.00011761776,0.00086579815,0.9847704,0.012887353,0.00019273833,0.00039956605],"study_design_scores_gemma":[0.00031695887,0.000021272976,0.000121903955,0.00012897412,0.0000029847574,0.000017898014,0.00011653101,0.001332399,0.9891917,0.0043612663,0.0041060094,0.0002820766],"about_ca_topic_score_codex":0.000014396455,"about_ca_topic_score_gemma":0.000018153258,"teacher_disagreement_score":0.24821986,"about_ca_system_score_codex":0.00016816781,"about_ca_system_score_gemma":0.000091177055,"threshold_uncertainty_score":0.6611855},"labels":[],"label_agreement":null},{"id":"W2074956188","doi":"10.1021/pr401144x","title":"Metrics for the Human Proteome Project 2013–2014 and Strategies for Finding Missing Proteins","year":2013,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Knut och Alice Wallenbergs Stiftelse; National Human Genome Research Institute; Kommission für Technologie und Innovation","keywords":"UniProt; Human proteome project; Ensembl; Proteome; Human Protein Atlas; Computational biology; Biology; Proteomics; Protein sequencing; Bioinformatics; Gene; Genomics; Genetics; Genome; Peptide sequence; Protein expression","score_opus":0.1552013147771438,"score_gpt":0.45407657377094507,"score_spread":0.2988752589938013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074956188","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24460746,0.0019588256,0.7184452,0.010994679,0.000044143617,0.022642842,0.00007940194,0.00009548237,0.0011320014],"genre_scores_gemma":[0.42695644,0.00039959594,0.5503575,0.00002484158,0.0009934136,0.018950345,0.000007756502,0.000112586415,0.0021975236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979738,0.00005115777,0.0005916046,0.0002672754,0.0005452943,0.000570887],"domain_scores_gemma":[0.99700546,0.0007207318,0.00046942403,0.00035543035,0.0013246507,0.00012430664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026877744,0.00018172957,0.00029572632,0.0003678292,0.0010580241,0.0005650477,0.0006183684,0.00016403018,0.00006828241],"category_scores_gemma":[0.0006059573,0.000119906654,0.00015178038,0.00038485642,0.0002340126,0.0005181278,0.00013968727,0.00086466206,0.0000026048547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006984116,0.000092030736,0.00008641082,0.0008214993,0.00006387331,0.0000012110006,0.00023452801,0.00001269147,0.9808177,0.0044297217,0.0049634245,0.008407105],"study_design_scores_gemma":[0.0017760412,0.0010300378,0.000103906146,0.0005524509,0.000054677184,0.00009974704,0.0025441293,0.0036108943,0.6482294,0.2839589,0.057593975,0.0004458196],"about_ca_topic_score_codex":0.00012980134,"about_ca_topic_score_gemma":0.000004781121,"teacher_disagreement_score":0.33258826,"about_ca_system_score_codex":0.00015225218,"about_ca_system_score_gemma":0.00038560503,"threshold_uncertainty_score":0.81375736},"labels":[],"label_agreement":null},{"id":"W2075326868","doi":"10.1186/1471-2105-8-197","title":"MASPECTRAS: a platform for management and analysis of proteomics LC-MS/MS data","year":2007,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medizinische Universität Graz; Bundesministerium für Bildung, Wissenschaft und Kultur; Karl-Franzens-Universität Graz; University of Toronto; Österreichischen Akademie der Wissenschaften","keywords":"Computer science; Proteomics; Software; UniProt; Cluster analysis; Mascot; Data management; Proteome; Data mining; Database; Data science; Bioinformatics; Artificial intelligence; Biology","score_opus":0.03817860811772101,"score_gpt":0.3073214138576116,"score_spread":0.2691428057398906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075326868","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014708767,0.00003537036,0.9733768,0.000014070606,0.000006389945,0.0005928974,0.00063588115,0.00007623647,0.010553594],"genre_scores_gemma":[0.007044611,0.000117998614,0.99164355,0.00003227885,0.000021584046,0.0000864961,0.00080636144,0.000013673288,0.00023345556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891984,7.4566555e-7,0.0005621426,0.00016195055,0.00013271136,0.00022260017],"domain_scores_gemma":[0.99863964,0.00007567613,0.00030855936,0.0008676998,0.00004529075,0.00006313815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032070166,0.00013362803,0.00023462049,0.00015506966,0.00007834678,0.000026704938,0.00040432715,0.000096062286,0.000028816363],"category_scores_gemma":[0.000023250026,0.00012529719,0.00007235631,0.00032529456,0.000060481445,0.0002068723,0.0002482585,0.00008208679,0.0000014139164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016171571,0.0016067041,0.048578743,0.027641501,0.009493791,0.000007425314,0.005172217,0.003599826,0.03353237,0.6129574,0.0071172034,0.24867563],"study_design_scores_gemma":[0.0010109765,0.00005017736,0.00098037,0.00008816105,0.001393985,0.000006597212,0.0012313898,0.8876246,0.08071676,0.009281682,0.017106012,0.0005092731],"about_ca_topic_score_codex":0.0000072068915,"about_ca_topic_score_gemma":0.000040036226,"teacher_disagreement_score":0.8840248,"about_ca_system_score_codex":0.000039880702,"about_ca_system_score_gemma":0.00001674745,"threshold_uncertainty_score":0.51094705},"labels":[],"label_agreement":null},{"id":"W2075539782","doi":"10.1002/pmic.201000571","title":"A cost–benefit analysis of multidimensional fractionation of affinity purification‐mass spectrometry samples","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC; Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Mass spectrometry; Interactome; Chromatography; Fractionation; Chemistry; Tandem mass spectrometry; Sample preparation; Tandem mass tag; Proteomics; Quantitative proteomics; Biological system; Biology; Biochemistry","score_opus":0.057577036275716933,"score_gpt":0.29827091683602824,"score_spread":0.24069388056031132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075539782","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49152365,0.000027064576,0.50595754,0.000033095464,0.000008803585,0.0002851656,0.0002614684,0.00005574905,0.001847452],"genre_scores_gemma":[0.48951757,0.00004746795,0.51009256,0.0000062824074,0.000010356571,0.0001620349,0.000109338805,0.000009795352,0.000044576165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894893,0.000008555364,0.00046477222,0.0002533708,0.00019344252,0.00013094401],"domain_scores_gemma":[0.99854064,0.000084010935,0.00057464023,0.00046120788,0.0002908857,0.00004863632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015654403,0.00012331405,0.0002796739,0.000253238,0.00006441126,0.0000039892607,0.00019626018,0.00012476294,0.00071027625],"category_scores_gemma":[0.00009982275,0.00013135976,0.0001627633,0.0006718,0.00008305536,0.00010050862,0.00004077171,0.00015466806,0.0000035039097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006429213,0.00024363426,0.011929827,0.000036295976,0.00025698103,1.2533869e-7,0.00013474077,0.00038914348,0.9514653,0.034836728,0.000006536038,0.000636378],"study_design_scores_gemma":[0.00015779208,0.000013654319,0.009263407,0.00001215207,0.0001821879,7.18569e-7,0.000059846287,0.0028148945,0.96999097,0.017227825,0.00015203889,0.00012452049],"about_ca_topic_score_codex":0.00013480989,"about_ca_topic_score_gemma":0.00001155012,"teacher_disagreement_score":0.018525645,"about_ca_system_score_codex":0.00007708461,"about_ca_system_score_gemma":0.00004131418,"threshold_uncertainty_score":0.7777027},"labels":[],"label_agreement":null},{"id":"W2075846217","doi":"10.1007/s13238-010-0087-x","title":"Quantitative proteomic analysis of S-nitrosated proteins in diabetic mouse liver with ICAT switch method","year":2010,"lang":"en","type":"article","venue":"Protein & Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Canadian Institute for Theoretical Astrophysics","keywords":"Nitrosation; Biochemistry; Computational biology; Chemistry; Proteomics; Biology; Gene","score_opus":0.010774067069848991,"score_gpt":0.2767495720238456,"score_spread":0.2659755049539966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075846217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92143166,0.000033285916,0.074987896,0.00007332479,0.000002653567,0.001980051,0.00006340297,0.00012823846,0.001299493],"genre_scores_gemma":[0.573936,0.0000067756987,0.42310977,0.000007434415,0.000008345691,0.0024198333,0.000034862176,0.00003433,0.00044264246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983025,0.00004628615,0.00048203074,0.0005663793,0.00024119079,0.00036159746],"domain_scores_gemma":[0.9984165,0.000069981936,0.00042606393,0.00080710574,0.00018058631,0.00009975683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030584072,0.00028198335,0.0005184765,0.00029512178,0.00007451979,0.000025705267,0.00041973038,0.00020980652,0.00036408193],"category_scores_gemma":[0.00005869373,0.00024650941,0.00013352408,0.0011510451,0.00014708709,0.00011692153,0.00009648868,0.0007097458,0.000012663451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013233178,0.00034200348,0.002067292,0.0001729036,0.0001001683,0.00000360294,0.00028514644,0.00018002582,0.9948251,0.0013812424,0.0000016396593,0.0005085285],"study_design_scores_gemma":[0.00048215687,0.00009796099,0.00023973687,0.00004506048,0.00018176215,9.495895e-7,0.000063068575,0.007249578,0.9899736,0.001272719,0.000083226165,0.0003101837],"about_ca_topic_score_codex":0.0005914494,"about_ca_topic_score_gemma":0.00033704902,"teacher_disagreement_score":0.34812188,"about_ca_system_score_codex":0.00005818502,"about_ca_system_score_gemma":0.000084451276,"threshold_uncertainty_score":0.9999987},"labels":[],"label_agreement":null},{"id":"W2076138205","doi":"10.1016/j.jmoldx.2013.03.002","title":"Application of Selected Reaction Monitoring for Multiplex Quantification of Clinically Validated Biomarkers in Formalin-Fixed, Paraffin-Embedded Tumor Tissue","year":2013,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Multiplex; Quantitative proteomics; Proteomics; Epidermal growth factor receptor; Breast cancer; Pathology; Quantitative analysis (chemistry); Biology; Cancer; Cancer research; Medicine; Computational biology; Bioinformatics; Chemistry; Internal medicine; Chromatography; Biochemistry","score_opus":0.01598235788885898,"score_gpt":0.3187653691436736,"score_spread":0.3027830112548146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076138205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5184829,0.000088394045,0.4808911,0.00006148987,0.000023998755,0.00040951945,0.000015697795,0.000013829261,0.000013061356],"genre_scores_gemma":[0.779859,0.00020365519,0.21966359,0.0000063416355,0.000038559392,0.00016576143,0.0000383431,0.000022525908,0.00000220363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99807346,0.000026090163,0.0013858048,0.00015767557,0.00020136948,0.00015557864],"domain_scores_gemma":[0.9962294,0.00050122815,0.0018471262,0.0002919196,0.0010645492,0.00006575858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033831885,0.00012988212,0.00031282505,0.0001314914,0.000028146264,0.000012209054,0.00023779,0.00014253998,0.000004561448],"category_scores_gemma":[0.0013687825,0.00013445709,0.000102049846,0.00030653298,0.000046604022,0.00013241146,0.000024084598,0.00019559455,0.0000012797071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009865666,0.0002699979,0.005606033,0.00012171771,0.000051204668,0.0000012826649,0.0000343537,0.00091968756,0.98687166,0.00033518806,0.000032108397,0.0056581064],"study_design_scores_gemma":[0.0007415245,0.00011380872,0.0016149547,0.00016077452,0.0000632086,0.000011420751,0.000076399774,0.004976219,0.99035573,0.0016114567,0.00015598549,0.000118545766],"about_ca_topic_score_codex":0.000046874637,"about_ca_topic_score_gemma":0.0000015934148,"teacher_disagreement_score":0.2613761,"about_ca_system_score_codex":0.000066680936,"about_ca_system_score_gemma":0.000070133385,"threshold_uncertainty_score":0.5483001},"labels":[],"label_agreement":null},{"id":"W2076197977","doi":"10.1038/nmeth.1513","title":"Trans-SILAC: sorting out the non-cell-autonomous proteome","year":2010,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Proteome; Proteomics; Quantitative proteomics; Biology; Cell sorting; Computational biology; Cell biology; Cell; Biochemistry; Gene","score_opus":0.012980552471683704,"score_gpt":0.3679847750588661,"score_spread":0.3550042225871824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076197977","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048364054,0.00026337904,0.8710205,0.0020669478,0.00024586444,0.00071649556,0.000021639393,0.00043258266,0.07686854],"genre_scores_gemma":[0.28189367,0.00001104783,0.7141944,0.0002483077,0.00031900752,0.00045517646,0.000008069136,0.000038374827,0.0028319503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988991,0.00003453287,0.00027759967,0.00035621828,0.0001354533,0.00029710002],"domain_scores_gemma":[0.99866444,0.00021476792,0.00017774923,0.00079540396,0.000072933944,0.00007468958],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00077390095,0.00019897043,0.00019414903,0.00002672118,0.00031720242,0.000047398993,0.0005795523,0.00061247445,0.0002591088],"category_scores_gemma":[0.00015345203,0.00014165395,0.00013977237,0.00013114577,0.00009077108,0.000060778068,0.00006799267,0.0029767158,0.0000081526805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000626963,0.000030013385,0.00004366824,0.00003331629,0.000006848256,9.2146377e-7,0.00024371322,0.000004653504,0.95719606,0.001138975,0.00013573913,0.04115984],"study_design_scores_gemma":[0.00012403367,0.0000054728316,0.000017234666,0.000007673659,0.000017177561,0.000007941053,0.000027046803,0.00044640194,0.8025187,0.0126195215,0.18404709,0.00016170433],"about_ca_topic_score_codex":0.0000069586913,"about_ca_topic_score_gemma":0.000008105734,"teacher_disagreement_score":0.2335296,"about_ca_system_score_codex":0.000024919565,"about_ca_system_score_gemma":0.000051451927,"threshold_uncertainty_score":0.9993234},"labels":[],"label_agreement":null},{"id":"W2076685182","doi":"10.1002/pmic.201300259","title":"Exploring intercellular signaling by proteomic approaches","year":2013,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Biology; Cell biology; Cell signaling; Intracellular; Signal transduction; Context (archaeology); Quantitative proteomics; Cell; Computational biology; Biochemistry","score_opus":0.270435743218029,"score_gpt":0.3165413628304874,"score_spread":0.046105619612458404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076685182","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039852646,0.97134227,0.022197522,0.00002157186,0.000035620982,0.0043153693,0.00011233453,0.0003656759,0.0012111134],"genre_scores_gemma":[0.000014293114,0.84065205,0.12055858,0.000004906651,0.00016944646,0.03729876,0.00032603298,0.00022172542,0.00075417524],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970154,0.000043822856,0.0011453446,0.0009767663,0.00019215622,0.0006264726],"domain_scores_gemma":[0.99819064,0.00006717979,0.0006463537,0.00092314504,0.00003187886,0.00014082534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024106521,0.0007804302,0.0015681059,0.00018706129,0.00010864241,0.0001275389,0.00095369015,0.0005460595,0.00019873002],"category_scores_gemma":[0.000042250977,0.0006453919,0.00043326075,0.00030051748,0.000086163884,0.00031597816,0.0003257459,0.0014967415,0.00016508534],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043906957,0.000121250065,0.0000024492067,0.019169744,0.00006284253,0.00000439121,0.00007095593,0.000009137236,0.008369849,0.0004338929,0.000080566024,0.9716705],"study_design_scores_gemma":[0.00017533715,0.000013781067,7.6420825e-9,0.010925153,0.00011846852,0.000023273422,0.000040663315,0.00018633562,0.06596221,0.0013325941,0.9200845,0.0011377198],"about_ca_topic_score_codex":0.000039680457,"about_ca_topic_score_gemma":6.037764e-7,"teacher_disagreement_score":0.97053283,"about_ca_system_score_codex":0.0005163864,"about_ca_system_score_gemma":0.00012741318,"threshold_uncertainty_score":0.99959975},"labels":[],"label_agreement":null},{"id":"W2076831564","doi":"10.1016/j.jprot.2010.05.004","title":"Proteome analysis of mouse model systems: A tool to model human disease and for the investigation of tissue-specific biology","year":2010,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Model organism; Biology; Human disease; Proteome; Computational biology; Laboratory mouse; Genetically modified mouse; Disease; Proteomics; Transgene; Systems biology; Model system; Experimental biology; Bioinformatics; Genetics; Pathology; Gene; Medicine","score_opus":0.0788224751786043,"score_gpt":0.3748946246185276,"score_spread":0.2960721494399233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076831564","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067144,0.29774347,0.6905387,0.000056290344,0.00001506196,0.0034402327,0.0014696206,0.000014210315,0.000007999427],"genre_scores_gemma":[0.00081517675,0.64438057,0.35211363,0.000008619539,0.00015203173,0.0020863656,0.00009768206,0.000073102376,0.00027283194],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977165,0.000028541794,0.0016145686,0.0002824249,0.00017883454,0.00017916311],"domain_scores_gemma":[0.9956775,0.000120976576,0.0028805013,0.00067443936,0.0004938202,0.00015277637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055919646,0.00030676156,0.0015919046,0.00037353614,0.00010690362,0.00003328023,0.00060974306,0.00035703668,0.0000035561934],"category_scores_gemma":[0.0001118721,0.00021270316,0.00052144896,0.0003286904,0.00015831646,0.00008248972,0.00011325835,0.00054687075,1.617673e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002020906,0.00018410575,0.000017639963,0.02554392,0.002193748,9.124489e-7,0.00028896192,0.05376928,0.84698814,0.026380492,0.00012588748,0.04430484],"study_design_scores_gemma":[0.00213506,0.00073208555,0.0000027259687,0.016958341,0.041077822,0.00005019698,0.000107799126,0.41797712,0.20947956,0.07535965,0.23307802,0.0030416332],"about_ca_topic_score_codex":0.00000514446,"about_ca_topic_score_gemma":0.0000013598167,"teacher_disagreement_score":0.6375086,"about_ca_system_score_codex":0.00009850321,"about_ca_system_score_gemma":0.0003093099,"threshold_uncertainty_score":0.86737835},"labels":[],"label_agreement":null},{"id":"W2077098970","doi":"10.1016/j.euprot.2014.09.012","title":"Development, implementation and application of performance/assessment kits for quantitative proteomic studies","year":2014,"lang":"en","type":"article","venue":"EuPA Open Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computational biology; Computer science; Biology","score_opus":0.04995585577403827,"score_gpt":0.42250364062203977,"score_spread":0.3725477848480015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077098970","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.511303,0.000019417528,0.48482502,0.00011167045,0.000008853998,0.0028493628,0.000031568245,0.000036618803,0.00081447366],"genre_scores_gemma":[0.4039614,0.00005830243,0.5887261,0.000020159567,0.000018539577,0.0070585497,0.00008064003,0.000020174957,0.00005614618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886346,0.000012744203,0.00047837166,0.00035489505,0.00010313085,0.00018737507],"domain_scores_gemma":[0.99896497,0.00006112338,0.00045179744,0.00027547946,0.00020326814,0.00004339264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796943,0.00017001678,0.00027848498,0.00004276273,0.00028079213,0.000042595362,0.0003159683,0.000062089115,0.00001139054],"category_scores_gemma":[0.000030063113,0.00016610906,0.000027308624,0.00008613699,0.00008449558,0.00024947815,0.0002580114,0.0000978278,0.000001814888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011863628,0.00007611224,0.0042440514,0.0006687604,0.00008429994,2.4478375e-8,0.00087237573,0.000044468652,0.8050277,0.11784272,0.000039967836,0.07098084],"study_design_scores_gemma":[0.0009775736,0.00010739961,0.00047135944,0.00007020701,0.00002379359,0.0000013673397,0.0008042688,0.003848016,0.97364897,0.01222783,0.0075803674,0.00023883992],"about_ca_topic_score_codex":0.000015817028,"about_ca_topic_score_gemma":0.000017542734,"teacher_disagreement_score":0.16862124,"about_ca_system_score_codex":0.000112316724,"about_ca_system_score_gemma":0.00009346859,"threshold_uncertainty_score":0.6773731},"labels":[],"label_agreement":null},{"id":"W2077293609","doi":"10.1007/s11295-009-0220-2","title":"Spruce proteome DB: a resource for conifer proteomics research","year":2009,"lang":"en","type":"article","venue":"Tree Genetics & Genomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Biology; Proteome; Proteomics; Computational biology; Identification (biology); DNA sequencing; Sequence database; Sequence (biology); Genome; Protein sequencing; Resource (disambiguation); Bioinformatics; DNA; Genetics; Ecology; Computer science; Peptide sequence; Gene","score_opus":0.052516394448048065,"score_gpt":0.3574606034573009,"score_spread":0.30494420900925284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077293609","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7684852,0.0068342485,0.14032082,0.0075617074,0.00004321725,0.009514837,0.00041978163,0.0011050934,0.06571511],"genre_scores_gemma":[0.37753344,0.0005201371,0.6073691,0.0002715326,0.00064453355,0.0030389237,0.00011265683,0.000114825336,0.010394822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99798965,0.000022544438,0.00039267406,0.00058949826,0.00031417407,0.0006914608],"domain_scores_gemma":[0.9983997,0.000101463695,0.00012528918,0.00094366807,0.00026116942,0.00016875964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037656497,0.00024748963,0.0002595842,0.000105884894,0.00036434206,0.00008700209,0.000648909,0.00022078413,0.000087126245],"category_scores_gemma":[0.000056233588,0.00025405036,0.00011981736,0.00025148134,0.00015166514,0.00003976719,0.00011848415,0.0004033032,0.00003234225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014227063,0.00016946068,0.00018462032,0.00009361381,0.000025012765,0.0000031708794,0.00029171634,0.00014559664,0.92843735,0.005973992,0.0017520299,0.06278118],"study_design_scores_gemma":[0.00048806285,0.00018449385,0.00010943879,0.000026937734,0.00001537525,0.000008210932,0.000090938476,0.00041670384,0.64702815,0.07861674,0.27270508,0.0003098672],"about_ca_topic_score_codex":0.0000034879452,"about_ca_topic_score_gemma":0.000006370709,"teacher_disagreement_score":0.46704832,"about_ca_system_score_codex":0.0001359056,"about_ca_system_score_gemma":0.000117823416,"threshold_uncertainty_score":0.9999912},"labels":[],"label_agreement":null},{"id":"W2077333201","doi":"10.1074/mcp.m600378-mcp200","title":"Endometrial Carcinoma Biomarker Discovery and Verification Using Differentially Tagged Clinical Samples with Multidimensional Liquid Chromatography and Tandem Mass Spectrometry","year":2007,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Mount Sinai Hospital; University of Toronto; York University","funders":"","keywords":"Biomarker discovery; Chromatography; Tandem mass spectrometry; Mass spectrometry; Liquid chromatography–mass spectrometry; Biomarker; Chemistry; Proteomics","score_opus":0.02267820828143937,"score_gpt":0.2788860935640393,"score_spread":0.25620788528259997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077333201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52976686,0.0002953842,0.4693852,0.000016905078,0.000018543547,0.0004024564,0.000025172041,0.000053317828,0.0000361624],"genre_scores_gemma":[0.65079427,0.00007709141,0.34885177,0.000020724667,0.00007201803,0.000039789036,0.00008529062,0.00005014369,0.000008907627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978865,0.000052754403,0.00060491293,0.0007446061,0.0003027893,0.0004084719],"domain_scores_gemma":[0.99873483,0.00012313697,0.00034432154,0.0005156891,0.000084224324,0.00019780542],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005229001,0.0003456065,0.00040224442,0.00021899056,0.00023524182,0.00010036833,0.00016471495,0.00029039686,0.00001578162],"category_scores_gemma":[0.00007541482,0.00032500678,0.00014139549,0.00036052588,0.0003459425,0.00014830966,0.00013874941,0.00036931163,6.1677486e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057028676,0.00010967916,0.014170224,0.000051418792,0.00009214994,0.000038484905,0.000015304991,0.0000054249745,0.983275,0.0014004507,9.634248e-7,0.00027060029],"study_design_scores_gemma":[0.0017272602,0.00014814352,0.002814104,0.00005095906,0.00011124553,0.000049498325,0.00003712922,0.0009005149,0.9929896,0.00065917074,0.00010019885,0.00041216152],"about_ca_topic_score_codex":0.000037288923,"about_ca_topic_score_gemma":0.0000032744354,"teacher_disagreement_score":0.1210274,"about_ca_system_score_codex":0.00007217399,"about_ca_system_score_gemma":0.00006821949,"threshold_uncertainty_score":0.9999202},"labels":[],"label_agreement":null},{"id":"W2077956068","doi":"10.1021/ac050586d","title":"Proteomics:  from Gel Based to Gel Free","year":2005,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Citation; Altmetrics; Computer science; Icon; Library science; Social media; Identification (biology); Original research; Information retrieval; World Wide Web; Data science; Biology; Ecology","score_opus":0.03840187825787168,"score_gpt":0.3492739359288983,"score_spread":0.31087205767102666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077956068","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000035333047,0.93367887,0.015382067,0.00041877446,0.000017361192,0.0008367163,0.0026884924,0.00063547015,0.04630692],"genre_scores_gemma":[0.000011318191,0.8706318,0.116390504,0.00027006926,0.0016135124,0.0017796925,0.0016559261,0.00022088703,0.0074262614],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693704,0.0000106489215,0.0009410668,0.0011828223,0.00034769165,0.00058074057],"domain_scores_gemma":[0.996372,0.00022674626,0.00033466986,0.002458603,0.00008966772,0.0005183237],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009471196,0.00076102983,0.0015660548,0.00004559503,0.00010842508,0.00009278433,0.0016869706,0.001063018,0.0044806926],"category_scores_gemma":[0.0002716444,0.0007282782,0.0008086503,0.00031233748,0.00010948038,0.000047256588,0.00045984102,0.0012304365,0.00036129067],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037414946,0.0005968066,0.000009472435,0.018566787,0.00053905044,0.000059137128,0.000011350384,0.000027512278,0.0038876191,0.00054534356,0.02403323,0.95168626],"study_design_scores_gemma":[0.00017390687,0.0000042430256,4.376065e-8,0.0031419985,0.0005920194,0.000006842133,0.0000031631037,0.00041151585,0.012512964,0.00095448917,0.9813906,0.0008081993],"about_ca_topic_score_codex":0.000033138498,"about_ca_topic_score_gemma":0.0000021870908,"teacher_disagreement_score":0.9573574,"about_ca_system_score_codex":0.00049904373,"about_ca_system_score_gemma":0.0003634271,"threshold_uncertainty_score":0.99951684},"labels":[],"label_agreement":null},{"id":"W20779778","doi":"10.1007/978-1-60327-058-8_21","title":"High Throughput Screening of Purified Proteins for Enzymatic Activity","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteome; Enzyme; Biochemistry; Proteases; Genome; Computational biology; Biology; Function (biology); Proteomics; ENCODE; Gene; Chemistry; Genetics","score_opus":0.049193570527383546,"score_gpt":0.41337721078228784,"score_spread":0.3641836402549043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20779778","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.100671075,0.00007536383,0.8983482,0.00009833306,0.000010488362,0.00040511362,0.000021147622,0.00004608997,0.00032418835],"genre_scores_gemma":[0.10127298,0.000022194508,0.8977668,0.0000344668,0.000017582806,0.00079599355,0.000014739385,0.00001836452,0.00005683795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991394,0.00010478433,0.0002508316,0.00027181001,0.00003636092,0.00019678514],"domain_scores_gemma":[0.9991925,0.000197902,0.00016781132,0.00037608022,0.000041639913,0.000024114073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033104906,0.00011815968,0.00029341123,0.000047656013,0.00005357153,0.0000017063837,0.00020191024,0.00019153021,0.000023933164],"category_scores_gemma":[0.00026639382,0.00011632093,0.00008774298,0.0001206031,0.00013759066,0.000019635749,0.000074202726,0.00016725365,3.0051115e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002913829,0.00004989375,0.00014618815,0.000049962484,0.000013552736,0.0000014244819,0.000027933915,0.00005506236,0.9708784,0.015501178,0.0000028882735,0.0132443495],"study_design_scores_gemma":[0.0002787801,0.000038658764,0.000025999057,0.00001652089,0.000006560394,0.0000066337893,0.0000052410455,0.00043350842,0.9301386,0.06822695,0.0007148446,0.000107712396],"about_ca_topic_score_codex":0.00007291286,"about_ca_topic_score_gemma":0.000002008574,"teacher_disagreement_score":0.052725773,"about_ca_system_score_codex":0.000023488012,"about_ca_system_score_gemma":0.000025349791,"threshold_uncertainty_score":0.474343},"labels":[],"label_agreement":null},{"id":"W2077994117","doi":"10.1016/j.ymeth.2012.06.002","title":"Mass spectrometry approaches to study mammalian kinase and phosphatase associated proteins","year":2012,"lang":"en","type":"review","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Canadian Institutes of Health Research; Cancer Research UK","keywords":"Phosphatase; Kinase; Phosphorylation; Biochemistry; Protein phosphorylation; Enzyme; Chemistry; Mass spectrometry; Cell biology; Protein kinase A; Computational biology; Biology; Chromatography","score_opus":0.20813873172104108,"score_gpt":0.4220911408646208,"score_spread":0.2139524091435797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077994117","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016465163,0.84180343,0.15342157,0.000019954668,0.000025259165,0.002500636,0.00031964874,0.00022562162,0.0016673951],"genre_scores_gemma":[0.000012373281,0.34775755,0.6474062,0.000009208257,0.00011831714,0.0036948493,0.00015896656,0.00009970503,0.00074281293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976161,0.00033225972,0.00060449826,0.00076038553,0.00018491664,0.00050180656],"domain_scores_gemma":[0.99800247,0.0002233238,0.00043775426,0.0010071008,0.000025384452,0.0003039721],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014962229,0.0005758682,0.001420182,0.00014499777,0.00017293749,0.00007228804,0.0004958661,0.0004194407,0.0002869354],"category_scores_gemma":[0.00019696879,0.0005092024,0.00022609132,0.00059468776,0.000044034456,0.00006525752,0.0003246817,0.0007452329,0.00002269426],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003659751,0.00036352884,0.000019196585,0.002457744,0.0001485915,0.0000064981205,0.000052236403,6.9210394e-8,0.0001290537,0.00083990913,0.000018755674,0.9959608],"study_design_scores_gemma":[0.0002029432,0.00006873258,0.0000031123084,0.0008399834,0.001221311,0.000012683476,0.00006981212,0.0000031729246,0.009114433,0.0020698851,0.98557365,0.0008202633],"about_ca_topic_score_codex":0.000020429152,"about_ca_topic_score_gemma":0.0000016426726,"teacher_disagreement_score":0.9951405,"about_ca_system_score_codex":0.00024007811,"about_ca_system_score_gemma":0.00005046659,"threshold_uncertainty_score":0.99973595},"labels":[],"label_agreement":null},{"id":"W2078264732","doi":"10.1039/c0an00003e","title":"Peptide quantitation with methyl iodide isotopic tags and mass spectrometry","year":2010,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Mass spectrometry; Chemistry; Methyl iodide; Chromatography; Iodide; Inorganic chemistry; Organic chemistry","score_opus":0.008619320887816072,"score_gpt":0.26550256957724494,"score_spread":0.25688324868942886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078264732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91560245,0.00006805903,0.073603146,0.0009227601,0.000006001911,0.00008455397,0.000007084037,0.00008072148,0.0096252365],"genre_scores_gemma":[0.8872228,0.000050760005,0.111263886,0.00005934485,0.00006605757,0.000046407516,0.00001155267,0.000011633694,0.0012675149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999548,0.000005356098,0.00010344496,0.00015254167,0.00008194982,0.00010870155],"domain_scores_gemma":[0.99944216,0.000052930744,0.00007933875,0.00036776904,0.000024218418,0.000033564666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100047975,0.0000812835,0.00009575525,0.000032335454,0.0001285344,0.000034144654,0.00014816092,0.000042401003,0.00012963245],"category_scores_gemma":[0.000014571065,0.000053021704,0.000027697402,0.00015511994,0.00008186806,0.000053693573,0.000023017034,0.00023748486,0.000011363627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066879984,0.000009704904,0.0039939405,0.000009895555,0.000027317708,9.665448e-7,0.000048862275,0.0000042676634,0.97914267,0.01597551,0.000069133726,0.00071106735],"study_design_scores_gemma":[0.00028489094,0.000033350436,0.0014718687,0.00001762406,0.00014427192,0.000025848567,0.0004070534,0.001304186,0.9275923,0.044053353,0.024396373,0.00026889142],"about_ca_topic_score_codex":0.000063206586,"about_ca_topic_score_gemma":0.00007853971,"teacher_disagreement_score":0.051550355,"about_ca_system_score_codex":0.000009839103,"about_ca_system_score_gemma":0.000010087423,"threshold_uncertainty_score":0.21621624},"labels":[],"label_agreement":null},{"id":"W2078541106","doi":"10.1158/1538-7445.am10-4573","title":"Abstract 4573: Discovery of candidate biomarkers for colorectal cancer using mass spectrometry-based proteomic analysis of cell line conditioned media","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Colorectal cancer; Orbitrap; Proteome; Cancer; Proteomics; Tandem mass spectrometry; Computational biology; Mass spectrometry; Cancer biomarkers; Biomarker discovery; Bioinformatics; Chemistry; Biology; Chromatography; Biochemistry; Gene; Genetics","score_opus":0.039389119814844116,"score_gpt":0.39561275876688856,"score_spread":0.35622363895204445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078541106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97574675,0.000080547055,0.018183557,0.00009998689,0.000032211054,0.00065307674,0.0049935156,0.000024846784,0.00018550007],"genre_scores_gemma":[0.96307695,0.00009640716,0.035003945,0.0000048291217,0.00010144695,0.0013195926,0.00030473588,0.000034622994,0.000057490746],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984531,0.000015538913,0.0004009194,0.00037136927,0.00037597818,0.0003831243],"domain_scores_gemma":[0.9984525,0.00030018014,0.00030743054,0.00039688905,0.0004470037,0.00009599995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041807484,0.00014659048,0.00037493533,0.00048215291,0.00012887886,0.000027549158,0.0003516241,0.00015859558,0.00089193834],"category_scores_gemma":[0.00008949337,0.00014237035,0.00019343907,0.0012141475,0.00038328045,0.0001031566,0.000046672045,0.0004189425,4.5172843e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036215936,0.00008538291,0.0029417167,0.00030265644,0.0002655585,7.4015713e-7,0.000029741432,0.00080270745,0.9949474,0.0001079483,0.00004165311,0.00011233683],"study_design_scores_gemma":[0.0005734412,0.000026402127,0.0007620465,0.00005711163,0.00017429267,1.2949111e-7,0.000045166238,0.0052216426,0.9922923,0.00066569314,0.000037097077,0.00014466519],"about_ca_topic_score_codex":0.0025611275,"about_ca_topic_score_gemma":0.0008831326,"teacher_disagreement_score":0.016820388,"about_ca_system_score_codex":0.00026649932,"about_ca_system_score_gemma":0.00065142656,"threshold_uncertainty_score":0.9766099},"labels":[],"label_agreement":null},{"id":"W2079019962","doi":"10.1038/sj.emboj.7600537","title":"Mechanism of intramembrane proteolysis investigated with purified rhomboid proteases","year":2004,"lang":"en","type":"article","venue":"The EMBO Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":161,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Rhomboid; Biology; Proteases; Proteolysis; Mechanism (biology); Peptide Hydrolases; Biochemistry; Cell biology; Deubiquitinating enzyme; Protease; Enzyme; Ubiquitin; Gene","score_opus":0.011374613428257413,"score_gpt":0.23597826517642617,"score_spread":0.22460365174816876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079019962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91393983,0.00006427271,0.08232401,0.0017043158,0.000007982608,0.00043817135,0.0000115329385,0.000098420074,0.0014114493],"genre_scores_gemma":[0.93636364,0.00006419487,0.062990904,0.00007891494,0.00009869119,0.00019853546,0.0000040712675,0.000027932776,0.00017313252],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910724,0.000016767455,0.00030353063,0.00013942954,0.00022950587,0.00020350612],"domain_scores_gemma":[0.9990286,0.000020234693,0.0003616375,0.00035567104,0.00012841167,0.000105433035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001790797,0.00014661519,0.00019058395,0.000038915554,0.00024130204,0.000038620346,0.00038779006,0.000060706454,0.00017496482],"category_scores_gemma":[0.000042655236,0.00008848488,0.0000693054,0.00019113524,0.00017673301,0.00009686693,0.000042210133,0.00050721114,0.0000047616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008777883,0.00010564902,0.000021694248,0.00004648563,0.00007259126,0.0000110625915,0.0002697018,0.00083157397,0.9667669,0.030749476,0.00001834165,0.0010187804],"study_design_scores_gemma":[0.00045884075,0.000056674973,0.0000069059784,0.0001328967,0.000040629846,0.00035978702,0.000104160325,0.000036334375,0.822677,0.17586271,0.00015747659,0.00010658682],"about_ca_topic_score_codex":0.000028017204,"about_ca_topic_score_gemma":0.0000030697713,"teacher_disagreement_score":0.14511323,"about_ca_system_score_codex":0.000056144305,"about_ca_system_score_gemma":0.00015508571,"threshold_uncertainty_score":0.36083087},"labels":[],"label_agreement":null},{"id":"W2079117034","doi":"10.2174/138955706775476000","title":"Proteomics in Medicinal Chemistry","year":2006,"lang":"en","type":"review","venue":"Mini-Reviews in Medicinal Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics; Texas Tech University","keywords":"Stable isotope labeling by amino acids in cell culture; Proteomics; Mass spectrometry; Chemistry; Quantitative proteomics; Computational biology; Drug discovery; Chromatography; Biochemistry; Biology","score_opus":0.04121650527500058,"score_gpt":0.36205510955316506,"score_spread":0.32083860427816446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079117034","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010371125,0.96040547,0.00028362195,0.00009630189,0.00005649136,0.0015906682,0.00015178707,0.00015760474,0.03715437],"genre_scores_gemma":[0.000012423262,0.97701657,0.00940791,0.00006979544,0.0013660317,0.005526489,0.001235242,0.00020371008,0.005161806],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99254954,0.000078264246,0.0037629588,0.0017488749,0.00069969596,0.0011606662],"domain_scores_gemma":[0.99563533,0.0002721793,0.0017266205,0.0019566151,0.000060848994,0.00034837952],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0013260054,0.0015602165,0.004783057,0.000132272,0.00010072749,0.000040079336,0.0019163779,0.0018089231,0.0020114486],"category_scores_gemma":[0.00055787625,0.0013899725,0.00079158915,0.0009966488,0.00045002997,0.00009426334,0.00035316346,0.003991815,0.00007312818],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019004965,0.00038030918,0.000052801086,0.12932402,0.000039575563,0.00025644002,0.000043570748,0.000001404673,0.0032414442,0.000013027735,0.0042386893,0.86238974],"study_design_scores_gemma":[0.0005844174,0.000009835037,4.6963834e-7,0.06171789,0.00030361817,0.0003319687,0.000038498,0.000015291087,0.005632719,0.00030217713,0.9299448,0.0011182758],"about_ca_topic_score_codex":0.00008012411,"about_ca_topic_score_gemma":0.000016910823,"teacher_disagreement_score":0.92570615,"about_ca_system_score_codex":0.0013322538,"about_ca_system_score_gemma":0.0007040285,"threshold_uncertainty_score":0.9997146},"labels":[],"label_agreement":null},{"id":"W2079215756","doi":"10.1074/mcp.h900009-mcp200","title":"The Moscow HUPO Human Proteome Project Workshop","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Proteome; Human proteome project; Library science; Political science; Chemistry; Operations research; Proteomics; Computer science; Engineering; Biochemistry","score_opus":0.013083666850489454,"score_gpt":0.28225647254882685,"score_spread":0.2691728056983374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079215756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7181524,0.0007410868,0.25963727,0.0021343753,0.000038353137,0.003437354,0.00002358469,0.0007903135,0.015045267],"genre_scores_gemma":[0.85484123,0.0001154557,0.137044,0.0003882835,0.00024517547,0.0024046549,0.00013440888,0.00013903665,0.004687747],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976267,0.000045928995,0.00056168414,0.0006750591,0.00037995304,0.0007106458],"domain_scores_gemma":[0.99790853,0.000032550084,0.00030991758,0.0014971244,0.00012451292,0.00012738047],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003574181,0.00042543092,0.00031951052,0.00006541421,0.0008968407,0.00024597996,0.0009968685,0.00029974632,0.00004201898],"category_scores_gemma":[0.0000830735,0.00035680123,0.00026182175,0.0003514012,0.00017232093,0.00011160511,0.00016404447,0.00077121524,0.000029317345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025693527,0.000099698096,0.000011057377,0.000023794728,0.000023345652,0.000027479924,0.000054058804,0.000059630547,0.9769585,0.019670404,0.00021545288,0.0028308602],"study_design_scores_gemma":[0.0003350879,0.00005446674,0.0000038258654,0.000052981086,0.000026806347,0.000015093536,0.000052015137,0.00042674923,0.9403941,0.03793523,0.02026853,0.0004351285],"about_ca_topic_score_codex":0.000018320568,"about_ca_topic_score_gemma":0.0000037023603,"teacher_disagreement_score":0.13668883,"about_ca_system_score_codex":0.00015508702,"about_ca_system_score_gemma":0.00010561574,"threshold_uncertainty_score":0.9998884},"labels":[],"label_agreement":null},{"id":"W2079258169","doi":"10.1016/j.jchromb.2004.11.009","title":"Role of chromatographic techniques in proteomic analysis","year":2004,"lang":"en","type":"review","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Heart, Lung, and Blood Institute; National Institute for Health and Care Research; Heart and Stroke Foundation of Canada","keywords":"Proteome; Chemistry; Proteomics; Chromatography; Mass spectrometry; Isoelectric focusing; Isoelectric point; Chromatographic separation; Computational biology; High-performance liquid chromatography; Biochemistry; Biology","score_opus":0.011004688267346784,"score_gpt":0.30231210490251925,"score_spread":0.29130741663517246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079258169","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017784447,0.99552566,0.0010159084,0.0000051733978,0.00001101708,0.00054833136,0.00007769112,0.00007880367,0.0009589659],"genre_scores_gemma":[0.0023682523,0.9565182,0.04067299,0.0000025462775,0.00007808424,0.00024944817,0.000030973624,0.00007446533,0.0000050426684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99635,0.00004958661,0.002506253,0.000346258,0.00042137047,0.00032651774],"domain_scores_gemma":[0.9948425,0.00007190346,0.0040297867,0.00072743715,0.0001973766,0.0001309509],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003953291,0.00053216465,0.003247072,0.0035275726,0.000044432778,0.000030841315,0.0009930115,0.00062375935,0.000106865424],"category_scores_gemma":[0.000023085684,0.00044737716,0.0035742803,0.004214308,0.0001943964,0.00015690167,0.00008764788,0.0010131126,0.000001071697],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006482039,0.0021652181,0.0031806077,0.08559591,0.011037878,0.00013025873,0.00022006963,0.000034520184,0.02663738,0.004579843,0.00007460789,0.8662789],"study_design_scores_gemma":[0.0011108777,0.00035481568,0.0001008732,0.12788445,0.017364284,0.0011272643,0.0001195758,0.000009446408,0.11519573,0.03682941,0.6975226,0.0023806728],"about_ca_topic_score_codex":0.00003545746,"about_ca_topic_score_gemma":0.0000064776696,"teacher_disagreement_score":0.8638982,"about_ca_system_score_codex":0.0001531926,"about_ca_system_score_gemma":0.00039806546,"threshold_uncertainty_score":0.9997978},"labels":[],"label_agreement":null},{"id":"W2079634451","doi":"10.1016/j.jasms.2005.02.015","title":"Multidimensional protein identification technology (MudPIT): Technical overview of a profiling method optimized for the comprehensive proteomic investigation of normal and diseased heart tissue","year":2005,"lang":"en","type":"review","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Genome Canada; Muscular Dystrophy Association; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Computational biology; Proteomics; Profiling (computer programming); Context (archaeology); Shotgun; Chemistry; Identification (biology); Proteome; Biology; Computer science; Biochemistry","score_opus":0.03997681178232557,"score_gpt":0.3812685022421208,"score_spread":0.3412916904597952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079634451","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021226439,0.6005139,0.3901744,0.0012609498,0.000027160635,0.005438374,0.00041972147,0.000039680952,0.0000031902005],"genre_scores_gemma":[0.00024208864,0.28162113,0.7169056,0.00003122491,0.00010528164,0.0010057827,0.000019278066,0.000045289096,0.000024340601],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99768305,0.000070670176,0.0013824807,0.00030745813,0.00031978998,0.00023654391],"domain_scores_gemma":[0.9930604,0.0006801693,0.0051645925,0.00055987097,0.0004703724,0.000064557615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000710022,0.00031720768,0.0015703243,0.00013391416,0.00018211595,0.000016070037,0.0006286432,0.00020590892,0.0000053960835],"category_scores_gemma":[0.00023264029,0.00020235268,0.0014960561,0.0007972517,0.0007062831,0.000078902805,0.00015550811,0.00067300646,1.1493382e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011968427,0.00008526647,0.00000945259,0.0071322303,0.0005099249,9.992047e-8,0.000014199488,0.000058886624,0.9411161,0.0012853417,0.00015457491,0.049514227],"study_design_scores_gemma":[0.0021740976,0.00066625234,0.00004281246,0.0094463965,0.005081538,0.00026134358,0.00044201073,0.001634124,0.8537829,0.015563249,0.110046394,0.00085888454],"about_ca_topic_score_codex":0.0000046643295,"about_ca_topic_score_gemma":1.2559691e-7,"teacher_disagreement_score":0.32673118,"about_ca_system_score_codex":0.0002462538,"about_ca_system_score_gemma":0.0003740682,"threshold_uncertainty_score":0.8251703},"labels":[],"label_agreement":null},{"id":"W2079693268","doi":"10.1016/j.ymeth.2015.02.008","title":"Comprehensive proteome analysis of fresh frozen and optimal cutting temperature (OCT) embedded primary non-small cell lung carcinoma by LC–MS/MS","year":2015,"lang":"en","type":"article","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Proteome; Carcinoma; Primary (astronomy); Lung; Chemistry; Chromatography; Medicine; Pathology; Biochemistry; Internal medicine; Physics; Astrophysics","score_opus":0.020959751168859227,"score_gpt":0.32553025427135784,"score_spread":0.3045705031024986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079693268","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77870876,0.0009978387,0.21483235,0.00005324285,0.000013255778,0.00042187175,0.00017150759,0.00008926453,0.0047119027],"genre_scores_gemma":[0.12157057,0.00003203278,0.8771318,0.00009244831,0.00005974729,0.00024354846,0.00020916098,0.00004128118,0.00061940815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984924,0.00010214087,0.00043330487,0.0005131853,0.00016833263,0.0002906272],"domain_scores_gemma":[0.9984696,0.00017790221,0.00031636943,0.0006145996,0.00024059461,0.00018096113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037906884,0.00027105425,0.0006274832,0.00011774585,0.000105373954,0.00004486917,0.0003018484,0.00026310617,0.000058334354],"category_scores_gemma":[0.00004495514,0.00026315957,0.00015486087,0.00048591522,0.00009587853,0.00008979293,0.00024077995,0.00041625605,7.3816227e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003000988,0.000059491013,0.0034867486,0.00024714196,0.00015545783,0.0000026894186,0.00060595025,0.0003716264,0.9930697,0.000019328887,0.0010752913,0.0008765497],"study_design_scores_gemma":[0.00049385085,0.00003070115,0.00051079236,0.00002744457,0.00051470683,0.00000346294,0.0003746913,0.009982445,0.98458517,0.00021980684,0.0029504942,0.0003064568],"about_ca_topic_score_codex":0.00011498961,"about_ca_topic_score_gemma":0.0000014981521,"teacher_disagreement_score":0.66229945,"about_ca_system_score_codex":0.000091486356,"about_ca_system_score_gemma":0.00006789098,"threshold_uncertainty_score":0.99998206},"labels":[],"label_agreement":null},{"id":"W2079720946","doi":"10.1021/pr050084g","title":"Impact of Replicate Types on Proteomic Expression Analysis","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Replicate; Protein expression; Proteomics; Computational biology; Quantitative proteomics; Expression (computer science); Statistical analysis; Difference gel electrophoresis; Biology; Computer science; Statistics; Genetics; Mathematics","score_opus":0.06085630232042737,"score_gpt":0.4495538454555956,"score_spread":0.38869754313516824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079720946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98744375,0.000110805646,0.00847348,0.00045314824,0.0000034099214,0.00040312993,0.000021334019,0.00002148001,0.003069438],"genre_scores_gemma":[0.94064045,0.00014463547,0.058024697,0.000003496813,0.00025774265,0.00011767555,0.000002763288,0.000022603637,0.00078592025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980249,0.00008320568,0.00062564266,0.00022334354,0.0007235709,0.0003193624],"domain_scores_gemma":[0.9977879,0.00013262562,0.0005603351,0.0006354893,0.00072286534,0.00016076444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016057165,0.0001307953,0.00037404636,0.0006157523,0.0001135626,0.000030036312,0.00055470236,0.00013057464,0.000829195],"category_scores_gemma":[0.00030082554,0.00009290615,0.00042654466,0.00088411686,0.000109178734,0.00015553122,0.00010540645,0.0008948229,0.000018931765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034400585,0.00026909806,0.0027925428,0.00004005772,0.0002001347,0.0000034637253,0.000050790295,0.0013041229,0.9903392,0.00012504714,0.00049944536,0.004032052],"study_design_scores_gemma":[0.0003071319,0.0003261248,0.0010949234,0.00013478566,0.00004180751,0.00001234512,0.000013463976,0.0005632421,0.99437845,0.0020803004,0.00094939716,0.00009800644],"about_ca_topic_score_codex":0.00002390591,"about_ca_topic_score_gemma":9.053447e-7,"teacher_disagreement_score":0.049551215,"about_ca_system_score_codex":0.00032449508,"about_ca_system_score_gemma":0.00018876193,"threshold_uncertainty_score":0.9079104},"labels":[],"label_agreement":null},{"id":"W2079752406","doi":"10.1074/mcp.m900222-mcp200","title":"Interlaboratory Study Characterizing a Yeast Performance Standard for Benchmarking LC-MS Platform Performance","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institute of Standards and Technology; National Institutes of Health; University of North Carolina at Chapel Hill; Broad Institute; Memorial Sloan-Kettering Cancer Center; Indiana University-Purdue University Indianapolis; Lawrence Berkeley National Laboratory; University of Victoria; University of Arizona; National Institute of General Medical Sciences; Massachusetts General Hospital; Buck Institute for Research on Aging; Purdue University; University of Washington","keywords":"Benchmarking; Chromatography; Chemistry; Computer science; Computational biology; Biology; Business","score_opus":0.010829163125063318,"score_gpt":0.24551874964432233,"score_spread":0.234689586519259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079752406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8567454,0.00007077437,0.14027679,0.00007733988,0.000046113924,0.0017076376,0.0000668905,0.00023720431,0.0007718193],"genre_scores_gemma":[0.9100362,0.00004911201,0.088219926,0.00021184878,0.0001842405,0.0009737911,0.00013797471,0.000078241916,0.000108671025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788636,0.00001272761,0.0005644294,0.00064798194,0.0003089826,0.0005795288],"domain_scores_gemma":[0.9985018,0.000011853722,0.00032406452,0.0007980734,0.00019242907,0.00017179076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035672804,0.00041240524,0.00039370765,0.0000985246,0.00038750513,0.00012802635,0.00053509854,0.00019179453,0.000049951777],"category_scores_gemma":[0.000030502946,0.00044629062,0.00014740626,0.00022769433,0.000057366902,0.00031523925,0.00011653655,0.000478755,0.000009325836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021553317,0.00018448199,0.0007997145,0.00013631502,0.000033299522,0.00001004061,0.0002708054,0.00010150696,0.97936,0.0002877662,0.000020266098,0.018580269],"study_design_scores_gemma":[0.0008973827,0.0005783493,0.00012211138,0.00014472223,0.000044394765,0.00000913148,0.00010400929,0.0067064725,0.9857778,0.00031762104,0.0047666323,0.00053137314],"about_ca_topic_score_codex":0.0000026998002,"about_ca_topic_score_gemma":7.811735e-7,"teacher_disagreement_score":0.05329076,"about_ca_system_score_codex":0.00025170183,"about_ca_system_score_gemma":0.0001320055,"threshold_uncertainty_score":0.9997989},"labels":[],"label_agreement":null},{"id":"W2080257751","doi":"10.1016/j.jprot.2014.03.018","title":"In-depth proteomic delineation of the colorectal cancer exoproteome: Mechanistic insight and identification of potential biomarkers","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Colorectal cancer; Cancer; Identification (biology); Computational biology; Proteomics; Medicine; Biology; Bioinformatics; Internal medicine; Genetics","score_opus":0.007529591896645045,"score_gpt":0.2611105938562519,"score_spread":0.25358100195960687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080257751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7981105,0.000059616978,0.20089805,0.00028912615,0.0000606665,0.00051204674,0.0000198265,0.000006042442,0.000044164644],"genre_scores_gemma":[0.9526053,0.00015906626,0.046942923,0.000013175434,0.00009874571,0.0001201307,0.0000020643704,0.000020082523,0.000038486767],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984481,0.00004428693,0.0009771484,0.00015570817,0.0002459804,0.00012882407],"domain_scores_gemma":[0.9976679,0.000031677286,0.001711945,0.00021710146,0.00032708008,0.000044272292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005181906,0.00013348773,0.00028780373,0.000121115045,0.00006185259,0.000016104805,0.0003016023,0.00013854154,0.000019755984],"category_scores_gemma":[0.00019579852,0.0001041563,0.00010295857,0.0002188872,0.00013243526,0.00016904791,0.00007461327,0.00027135966,2.6095557e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016667026,0.00006616833,0.0015014971,0.00014607208,0.00002782836,4.1217635e-7,0.000097024255,0.0004520197,0.99474776,0.0011188649,0.00001031524,0.0016653613],"study_design_scores_gemma":[0.0006231394,0.00005626967,0.0021084798,0.00016413842,0.000048687903,0.000031608623,0.000034517256,0.0062701926,0.9803695,0.01014406,0.000048658505,0.00010076378],"about_ca_topic_score_codex":0.00005130096,"about_ca_topic_score_gemma":0.000015436772,"teacher_disagreement_score":0.15449487,"about_ca_system_score_codex":0.00011048508,"about_ca_system_score_gemma":0.00012525055,"threshold_uncertainty_score":0.42473707},"labels":[],"label_agreement":null},{"id":"W2081337065","doi":"10.1016/j.clinbiochem.2012.12.019","title":"Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum","year":2013,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Montreal Clinical Research Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Immunoassay; Analyte; Chemistry; Chromatography; Selected reaction monitoring; Biology; Antibody; Mass spectrometry; Immunology; Tandem mass spectrometry","score_opus":0.024259310324967684,"score_gpt":0.3269862238308735,"score_spread":0.3027269135059058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081337065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930145,0.00020889587,0.0051092436,0.00018508277,0.000015082324,0.0008529745,0.00015348426,0.00007264567,0.0003880885],"genre_scores_gemma":[0.7008977,0.00020093367,0.2982206,0.000025440084,0.00003851165,0.0003972444,0.00009315412,0.00002695921,0.00009946922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996847,0.00003035734,0.0018190055,0.00079347467,0.00014751831,0.00036269755],"domain_scores_gemma":[0.99759907,0.0008190277,0.0007776371,0.00037432014,0.00027184281,0.00015809877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006972263,0.00029084805,0.0006380095,0.00007021389,0.00013959862,0.0000278103,0.00019333776,0.00043043372,0.000043578584],"category_scores_gemma":[0.000858774,0.00028566056,0.000106298845,0.00029770462,0.00040076848,0.00008148627,0.00015727211,0.0005167231,0.0000017223905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014333302,0.00030213743,0.007854524,0.00023582853,0.00010435427,0.0000022545782,0.00007682259,4.6131953e-7,0.98678356,0.0006015155,0.000064749795,0.0038304843],"study_design_scores_gemma":[0.0015245157,0.0002543232,0.005947221,0.000113831644,0.000025480454,0.000003994313,0.0002297044,0.00021911933,0.98427045,0.0069076903,0.00014974663,0.0003539489],"about_ca_topic_score_codex":0.000025271807,"about_ca_topic_score_gemma":0.0000039523275,"teacher_disagreement_score":0.29311135,"about_ca_system_score_codex":0.00008907959,"about_ca_system_score_gemma":0.0001648272,"threshold_uncertainty_score":0.9999595},"labels":[],"label_agreement":null},{"id":"W2081560032","doi":"10.1002/pmic.200600956","title":"Subcellular proteomics of cell differentiation: Quantitative analysis of the plasma membrane proteome of Caco‐2 cells","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; McGill University; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Proteome; Membrane protein; Proteomics; Biology; Transmembrane protein; Cell biology; Biochemistry; Membrane; Cell; Molecular biology; Chemistry; Gene","score_opus":0.012492154971444083,"score_gpt":0.2556596577606232,"score_spread":0.24316750278917915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081560032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8012666,0.00003280669,0.19595799,0.00003332614,0.000024547297,0.0014083086,0.0002905182,0.00003603062,0.0009498449],"genre_scores_gemma":[0.76401836,0.00004343141,0.23539907,0.0000055334917,0.000018843752,0.00019623728,0.000041533123,0.000034692777,0.00024231452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99762917,0.00003637144,0.0011824889,0.00039430137,0.0004341373,0.00032354178],"domain_scores_gemma":[0.9966361,0.0001618327,0.0017155473,0.0009880965,0.0004212667,0.00007716484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005011341,0.0002859189,0.00070847425,0.00025958093,0.000101062695,0.000010314426,0.0007172892,0.0002564624,0.00010798957],"category_scores_gemma":[0.00007677468,0.00023881721,0.00046969936,0.0013350359,0.0003137479,0.00008911639,0.0001992097,0.0003522788,0.0000015849744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017532692,0.00030221944,0.0025541398,0.0005296258,0.00027648621,4.4105425e-7,0.00041811095,0.0015211666,0.9909238,0.003233826,0.0000029300402,0.00006191826],"study_design_scores_gemma":[0.000454706,0.000055394605,0.00044073237,0.00006807025,0.00047563252,7.356719e-7,0.00017229095,0.0065730116,0.99018705,0.001307816,0.000038424492,0.00022615805],"about_ca_topic_score_codex":0.000100807476,"about_ca_topic_score_gemma":0.000036222955,"teacher_disagreement_score":0.039441083,"about_ca_system_score_codex":0.000089892244,"about_ca_system_score_gemma":0.00010410403,"threshold_uncertainty_score":0.97386837},"labels":[],"label_agreement":null},{"id":"W2081642846","doi":"10.1021/pr800845a","title":"Large-Scale Characterization and Analysis of the Murine Cardiac Proteome","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heart and Stroke Foundation; University of Toronto; University Health Network","funders":"","keywords":"Proteome; Proteomics; Computational biology; Biology; Transcriptome; Bioinformatics; Biochemistry; Gene; Gene expression","score_opus":0.02435400641088465,"score_gpt":0.35329709354316224,"score_spread":0.3289430871322776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081642846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98292786,0.00010607084,0.014391718,0.0015840594,0.000009104555,0.0004750445,0.00007045157,0.000010762367,0.00042495763],"genre_scores_gemma":[0.98847646,0.0003452947,0.010031303,0.000015717644,0.0001374567,0.00006689894,0.000011716088,0.000012195463,0.0009029861],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850893,0.000073745905,0.00044583587,0.00014705124,0.0005841564,0.00024027556],"domain_scores_gemma":[0.9985416,0.000044218752,0.00038362146,0.00036801383,0.0005736885,0.00008888937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012441091,0.00008937752,0.00031916017,0.00029679819,0.0001640551,0.000034692148,0.00034584105,0.000091825474,0.0000885698],"category_scores_gemma":[0.00012525049,0.00006136453,0.00019139027,0.0011474708,0.00009383922,0.0001381306,0.00010508455,0.00058719737,7.379749e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004546504,0.00010091035,0.003947641,0.000044219338,0.00010226397,0.0000010747926,0.00017951638,0.000009458727,0.99302846,0.00030519805,0.00001863778,0.0022171591],"study_design_scores_gemma":[0.00030609677,0.00013318354,0.047154397,0.00012076754,0.00014654783,0.000009581045,0.00012416833,0.0007436296,0.94264686,0.0030385603,0.0054641324,0.00011206448],"about_ca_topic_score_codex":0.0000034840111,"about_ca_topic_score_gemma":8.121359e-7,"teacher_disagreement_score":0.050381586,"about_ca_system_score_codex":0.00007079208,"about_ca_system_score_gemma":0.00007804708,"threshold_uncertainty_score":0.2551113},"labels":[],"label_agreement":null},{"id":"W2082006641","doi":"10.1021/ac0258709","title":"A Method for Assessing the Statistical Significance of Mass Spectrometry-Based Protein Identifications Using General Scoring Schemes","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":496,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome Canada","funders":"","keywords":"Identification (biology); Representation (politics); Data mining; Scoring algorithm; Simple (philosophy); Computer science; Statistical analysis; Machine learning; Statistics; Mathematics","score_opus":0.03911847149694674,"score_gpt":0.3819344892939808,"score_spread":0.342816017797034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082006641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08246279,0.000036356774,0.9144664,0.00011990785,0.000004742973,0.0002536011,0.00008862576,0.000055237688,0.0025123658],"genre_scores_gemma":[0.37084624,9.651708e-7,0.62841034,0.000014519582,0.000052111234,0.00021558956,0.00002672281,0.000022943352,0.00041057414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99855036,0.000023699879,0.00045887133,0.00042062596,0.00022313687,0.0003233006],"domain_scores_gemma":[0.99855626,0.00039101433,0.00022812397,0.0005577396,0.00016725359,0.00009961639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003722765,0.00018527936,0.00025918434,0.000024441506,0.0002199083,0.00007709812,0.00028913873,0.00012687079,0.00031422745],"category_scores_gemma":[0.0005139493,0.00016288823,0.00014241887,0.00030823305,0.00019898174,0.00006562825,0.00002398781,0.00028126096,9.612477e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061756423,0.00006536319,0.00025239403,0.00022969974,0.000029310324,7.7495406e-7,0.000002829877,0.0003579229,0.96353763,0.03535752,0.000019550971,0.00014083322],"study_design_scores_gemma":[0.00017368869,0.0000033832966,0.0000062528356,0.000048626494,0.00008179331,0.0000032137427,0.00005050192,0.09960394,0.8816301,0.017223055,0.0010058426,0.000169555],"about_ca_topic_score_codex":0.000011554675,"about_ca_topic_score_gemma":2.1186226e-7,"teacher_disagreement_score":0.28838345,"about_ca_system_score_codex":0.00012600081,"about_ca_system_score_gemma":0.00020944385,"threshold_uncertainty_score":0.6642389},"labels":[],"label_agreement":null},{"id":"W2082062471","doi":"10.1371/journal.pgen.1004062","title":"Functional Divergence and Evolutionary Turnover in Mammalian Phosphoproteomes","year":2014,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PROTEO; Université Laval","funders":"Canadian Institutes of Health Research; Yale University","keywords":"Phosphorylation; Biology; Negative selection; Functional divergence; Evolutionary biology; Conserved sequence; Divergence (linguistics); Protein phosphorylation; Phenotype; Genetics; Gene; Protein kinase A; Peptide sequence; Genome","score_opus":0.013865907743754142,"score_gpt":0.22734201038753202,"score_spread":0.21347610264377787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082062471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99030674,0.0003868343,0.0064788647,0.00014661303,0.000016868722,0.00010490025,0.000021566828,0.00006112171,0.0024765227],"genre_scores_gemma":[0.97260636,0.00015019215,0.02629906,0.00005948362,0.00008472697,0.000118929784,0.000019568022,0.0000143919715,0.0006473038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941,0.0000046498467,0.00013291824,0.00020562769,0.0001097726,0.0001370331],"domain_scores_gemma":[0.9996585,0.000023977698,0.000042186173,0.00019463533,0.000031053776,0.000049631606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029664337,0.00008975918,0.00007856567,0.000022992077,0.00006197003,0.000009509446,0.000090075766,0.00007229209,0.00034814264],"category_scores_gemma":[0.000014868305,0.000094892384,0.000018405337,0.000068481146,0.000056313605,0.000030590538,0.000062004954,0.00011779612,0.000017107472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004401823,0.00024889794,0.27346176,0.0001402695,0.000020542426,0.0000023720618,0.00015581514,0.00091556966,0.7095656,0.008246265,0.001179094,0.006019807],"study_design_scores_gemma":[0.00035818457,0.000024435165,0.015541618,0.000037755224,0.000013676876,0.000009068336,0.000025074269,0.010028756,0.91453695,0.036686298,0.02243943,0.0002987413],"about_ca_topic_score_codex":0.000005045524,"about_ca_topic_score_gemma":0.0000071403088,"teacher_disagreement_score":0.25792015,"about_ca_system_score_codex":0.000032956807,"about_ca_system_score_gemma":0.000011407542,"threshold_uncertainty_score":0.3869599},"labels":[],"label_agreement":null},{"id":"W2082103186","doi":"10.1016/j.jprot.2010.02.007","title":"Meta sequence analysis of human blood peptides and their parent proteins","year":2010,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ensembl; RefSeq; Peptide; Sequence database; Human blood; Computational biology; Human proteins; Proteomics; Bioinformatics; Biology; Gene; Genetics; Biochemistry; Genomics","score_opus":0.04558055667130481,"score_gpt":0.31252569261131685,"score_spread":0.266945135940012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082103186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98253334,0.00010895173,0.016717438,0.00015419451,0.0000069300295,0.00019872676,0.00006303727,0.00001677982,0.00020059051],"genre_scores_gemma":[0.80929375,0.00008797005,0.190417,0.0000129476175,0.00005907817,0.000056481855,0.0000038023716,0.000013219491,0.000055762874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897647,0.000011273539,0.0005877945,0.0001515863,0.00013836916,0.00013452323],"domain_scores_gemma":[0.998429,0.000038609884,0.00094121497,0.00029532073,0.00020222829,0.00009359813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032963455,0.00015271126,0.00051815057,0.00015111575,0.00008918539,0.000028166221,0.00030999747,0.000109495224,0.00010391861],"category_scores_gemma":[0.000047087462,0.00011024422,0.00032142145,0.00022639516,0.0001344546,0.00011977641,0.0000706079,0.0005071632,1.7341067e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011270231,0.00010312541,0.001812343,0.000038004375,0.0019019132,0.000001604224,0.000119104334,0.00003547586,0.993548,0.002149316,0.000003501406,0.00027635906],"study_design_scores_gemma":[0.0001896244,0.000060596118,0.00018156857,0.000021108739,0.0027384988,0.000040027826,0.00005686642,0.00019841215,0.9845988,0.011634866,0.0001617105,0.000117901545],"about_ca_topic_score_codex":0.000020779067,"about_ca_topic_score_gemma":0.000024628027,"teacher_disagreement_score":0.17369957,"about_ca_system_score_codex":0.000016039032,"about_ca_system_score_gemma":0.000045747354,"threshold_uncertainty_score":0.44956288},"labels":[],"label_agreement":null},{"id":"W2082314018","doi":"10.1021/pr2000013","title":"Quantitative Statistical Analysis of Standard and Human Blood Proteins from Liquid Chromatography, Electrospray Ionization, and Tandem Mass Spectrometry","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chemistry; Electrospray ionization; Tandem mass spectrometry; Chromatography; Mass spectrometry","score_opus":0.03122731043952364,"score_gpt":0.38190147286243264,"score_spread":0.350674162422909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082314018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79580444,0.00097070413,0.20245408,0.00011871474,0.0000032484356,0.0002926312,0.00015800325,0.000012611304,0.00018555767],"genre_scores_gemma":[0.76834494,0.0004146968,0.2310621,0.0000022460367,0.00007111672,0.00005000015,0.000018125227,0.000018150502,0.000018595496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979542,0.00011971037,0.00060072466,0.00020875568,0.0007314829,0.00038515177],"domain_scores_gemma":[0.9980942,0.0002953308,0.00042376888,0.00023273737,0.0007104122,0.00024357454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014194972,0.00014130273,0.00049031526,0.00068384194,0.00023132113,0.000060679296,0.00020147071,0.000125399,0.00028853724],"category_scores_gemma":[0.0003234487,0.00012222627,0.00008862297,0.0012672874,0.00035614742,0.00023530806,0.0000861407,0.0006739658,4.3545148e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019786342,0.00016532517,0.045551814,0.000071284885,0.0007100255,0.0000043516175,0.00015247198,0.0000018996816,0.93445325,0.018618634,0.000019778248,0.00005332582],"study_design_scores_gemma":[0.000694861,0.0012951982,0.013308935,0.00011682416,0.00047335145,0.000018234045,0.00029167716,0.00006672326,0.96382606,0.019566085,0.0001564117,0.00018565462],"about_ca_topic_score_codex":0.00005135129,"about_ca_topic_score_gemma":0.000007269285,"teacher_disagreement_score":0.03224288,"about_ca_system_score_codex":0.00007786987,"about_ca_system_score_gemma":0.00009581397,"threshold_uncertainty_score":0.49842426},"labels":[],"label_agreement":null},{"id":"W2082635888","doi":"10.1016/j.jprot.2014.11.004","title":"Delineating monoclonal antibody specificity by mass spectrometry","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; University Health Network","funders":"","keywords":"Monoclonal antibody; Chemistry; Antigen; Mass spectrometry; Proteome; Molecular biology; Antibody; Pipette; Computational biology; Chromatography; Biology; Biochemistry; Immunology","score_opus":0.010143676021227387,"score_gpt":0.28359223990470717,"score_spread":0.27344856388347977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082635888","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30667517,0.000062747415,0.69039905,0.00027778372,0.000028621733,0.00007459629,0.000018019256,0.000030944244,0.0024330346],"genre_scores_gemma":[0.24962944,0.000113006674,0.7493118,0.00007004716,0.0006018134,0.000008396543,0.000011485501,0.000029071187,0.00022495505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869305,0.000016368416,0.00063963514,0.00016990959,0.00024712333,0.000233898],"domain_scores_gemma":[0.99860656,0.00006576696,0.00075573125,0.00025741785,0.00019118171,0.00012333397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041590966,0.00016306948,0.0002862236,0.00006966196,0.00010998942,0.000051629326,0.00037793277,0.00012645942,0.00017794927],"category_scores_gemma":[0.00014755556,0.00015059412,0.00014818319,0.00013297891,0.00004813277,0.00014746493,0.00004584433,0.0005966989,0.000007918989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035579724,0.000058080277,0.0016156883,0.000023309685,0.000018515919,0.000002243205,0.000011033692,0.00008174337,0.9947332,0.0013732755,0.0006489275,0.001398378],"study_design_scores_gemma":[0.00038342577,0.0000699043,0.000037144033,0.000047581925,0.00001871608,0.00008124428,0.000028269124,0.0030864095,0.9735028,0.013849728,0.008705303,0.00018945875],"about_ca_topic_score_codex":0.0000041296585,"about_ca_topic_score_gemma":2.1557416e-7,"teacher_disagreement_score":0.058912702,"about_ca_system_score_codex":0.00012479103,"about_ca_system_score_gemma":0.00004385054,"threshold_uncertainty_score":0.614105},"labels":[],"label_agreement":null},{"id":"W2082640214","doi":"10.1016/j.jprot.2014.04.024","title":"Enhanced sensitivity and multiplexing with 2D LC/MRM-MS and labeled standards for deeper and more comprehensive protein quantitation","year":2014,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"Western Economic Diversification Canada; Genome British Columbia; Genome Canada","keywords":"Chemistry; Sensitivity (control systems); Chromatography; Multiplexing; Quantitative proteomics; Computational biology; Proteomics; Computer science; Biochemistry; Biology; Telecommunications; Engineering","score_opus":0.012061434909016202,"score_gpt":0.2906974267914065,"score_spread":0.2786359918823903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082640214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5614958,0.000058694834,0.43781206,0.00017889778,0.0000035297835,0.00039114218,0.00003296207,0.0000123817435,0.000014533224],"genre_scores_gemma":[0.58500206,0.00005203953,0.41478154,0.000027151771,0.00005020239,0.000055316057,0.0000031450984,0.000016631368,0.000011919322],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921453,0.000021914955,0.0002783837,0.0001850143,0.0001537819,0.00014635043],"domain_scores_gemma":[0.9987326,0.00012857089,0.00041978763,0.00011397315,0.0005156656,0.00008936661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003333618,0.00014995676,0.00027934482,0.00004351216,0.00015813329,0.000057952537,0.000042691663,0.0000938244,0.0000017543274],"category_scores_gemma":[0.00015178618,0.0001238784,0.000029212983,0.00004248612,0.00012878719,0.00018097372,0.00003612124,0.00021943929,4.502394e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004342326,0.000023327664,0.00031227228,0.00024081138,0.000029586174,0.0000014672013,0.00028151806,0.00008604765,0.9930002,0.0018064469,0.000005375285,0.0037787114],"study_design_scores_gemma":[0.002115066,0.00028530028,0.00026246652,0.0003282644,0.00004078683,0.0001044977,0.0003040142,0.0067055426,0.9843575,0.0045639565,0.00071705127,0.00021556947],"about_ca_topic_score_codex":0.000008505365,"about_ca_topic_score_gemma":0.00001661887,"teacher_disagreement_score":0.023506254,"about_ca_system_score_codex":0.000049262333,"about_ca_system_score_gemma":0.00005216357,"threshold_uncertainty_score":0.50516146},"labels":[],"label_agreement":null},{"id":"W2083231458","doi":"10.1371/journal.pone.0105984","title":"Cleavage Specificity Analysis of Six Type II Transmembrane Serine Proteases (TTSPs) Using PICS with Proteome-Derived Peptide Libraries","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Centre for Blood Research, University of British Columbia; University of British Columbia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Proteases; Cleavage (geology); Serine; Proteome; Serine protease; Biology; Cleavage factor; Biochemistry; Scissile bond; Protease; Peptide sequence; Chemistry; Enzyme; RNA","score_opus":0.03847966537551751,"score_gpt":0.24111275797378878,"score_spread":0.20263309259827128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083231458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646977,0.000027720587,0.032310374,0.000114189104,0.0000016136257,0.0005386852,0.00006792995,0.00021262091,0.002029162],"genre_scores_gemma":[0.77868056,0.0000337283,0.22068876,0.000018032426,0.00005521255,0.000116483025,0.00006343896,0.000037182414,0.00030658254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988404,0.00001726296,0.00032822636,0.00033676025,0.0002589968,0.00021836784],"domain_scores_gemma":[0.9989082,0.00004131859,0.00024204081,0.000583952,0.00014152384,0.000082926905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070263595,0.00020108202,0.000497913,0.000101563324,0.00016677917,0.000026787722,0.00023656402,0.00009654106,0.00036031494],"category_scores_gemma":[0.000045055884,0.00018374802,0.00008468391,0.0006695294,0.00014785143,0.0001601546,0.00006818773,0.00020317773,0.0000020306074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020242379,0.0008085277,0.0018464563,0.0003645495,0.00060257653,0.000001002606,0.00012602333,0.0005022073,0.99482304,0.0005339594,0.0000029902671,0.00018625412],"study_design_scores_gemma":[0.00024747118,0.00013088496,0.00022036293,0.00016520271,0.0008285526,8.4619836e-7,0.000042864227,0.0064583253,0.9909516,0.0005403673,0.00017944533,0.00023405145],"about_ca_topic_score_codex":0.00004912873,"about_ca_topic_score_gemma":0.0000181841,"teacher_disagreement_score":0.1883784,"about_ca_system_score_codex":0.000030643918,"about_ca_system_score_gemma":0.000042129894,"threshold_uncertainty_score":0.74930274},"labels":[],"label_agreement":null},{"id":"W2083656801","doi":"10.1016/j.aca.2008.03.032","title":"Current approaches for global post-translational modification discovery and mass spectrometric analysis","year":2008,"lang":"en","type":"review","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chemistry; Posttranslational modification; Computational biology; Biochemical engineering; Function (biology); Nanotechnology; Biochemistry; Cell biology","score_opus":0.06568754425657451,"score_gpt":0.34347234551061545,"score_spread":0.2777848012540409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083656801","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007223176,0.92918706,0.06374942,0.00023921605,0.000020221454,0.0011138438,0.0036463833,0.00016019972,0.0018114083],"genre_scores_gemma":[0.0015813322,0.9740456,0.01759262,0.0000071845216,0.00017838288,0.0006215501,0.0057873577,0.000046270205,0.00013975387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774456,0.000020109199,0.0007256599,0.000905755,0.0002558841,0.0003480223],"domain_scores_gemma":[0.99829787,0.00023832057,0.0005254726,0.0007183535,0.00008473928,0.00013521843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007644221,0.0004999718,0.0013026492,0.0003983223,0.00019439135,0.00011414821,0.0004541829,0.00030828256,0.000032269498],"category_scores_gemma":[0.000062540545,0.00044874803,0.0010743637,0.0016817867,0.0001239838,0.00017855558,0.0000637107,0.00034943988,0.0000033582232],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051821564,0.0007373812,0.00024566613,0.012582351,0.0060272743,0.0000015338366,0.000036556587,0.000012323784,0.00018991354,0.058491774,0.0005123787,0.92111105],"study_design_scores_gemma":[0.00026945354,0.000027597334,0.000050253395,0.000660108,0.011261738,0.0000363873,0.000010061172,0.0069834157,0.000065530796,0.011150533,0.9683416,0.0011433546],"about_ca_topic_score_codex":0.0000025909394,"about_ca_topic_score_gemma":0.0000028408017,"teacher_disagreement_score":0.96782917,"about_ca_system_score_codex":0.00022417492,"about_ca_system_score_gemma":0.00019712887,"threshold_uncertainty_score":0.99979645},"labels":[],"label_agreement":null},{"id":"W2083840814","doi":"10.1016/j.aca.2011.07.025","title":"Implications of partial tryptic digestion in organic–aqueous solvent systems for bottom-up proteome analysis","year":2011,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Research Innovation Trust","keywords":"Chemistry; Digestion (alchemy); Chromatography; Acetonitrile; Solvent; Biochemistry","score_opus":0.026688048934191175,"score_gpt":0.2796892059210582,"score_spread":0.25300115698686704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083840814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9079121,0.000041806834,0.08108721,0.0009715862,0.00004327879,0.0021230832,0.00036563195,0.00031461587,0.0071406947],"genre_scores_gemma":[0.990069,0.000082081526,0.008190386,0.000015298672,0.00004634711,0.001110535,0.00013788916,0.00003179954,0.00031671213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984857,0.000014464315,0.0006502132,0.00041953148,0.0001208483,0.00030923405],"domain_scores_gemma":[0.9985628,0.0000805776,0.00035403008,0.0007671968,0.00013423093,0.00010117076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001392256,0.00018753578,0.000423952,0.00020222997,0.000084836014,0.000020429792,0.00036613728,0.00016631567,0.00030026864],"category_scores_gemma":[0.00008426518,0.00018624503,0.00022664214,0.0007004173,0.000074893294,0.00008946105,0.00005905342,0.00019192099,0.0000045056768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012977557,0.00068868673,0.006222059,0.0002324809,0.000599665,8.0235634e-7,0.0004257892,0.000027549007,0.9676593,0.023521725,0.00014997287,0.00034221107],"study_design_scores_gemma":[0.0014493545,0.00019766054,0.0065382724,0.00019129466,0.0029274372,0.00001717496,0.0003541789,0.05431895,0.8985685,0.031845268,0.0024947687,0.0010971457],"about_ca_topic_score_codex":0.00008679135,"about_ca_topic_score_gemma":0.0000328097,"teacher_disagreement_score":0.08215685,"about_ca_system_score_codex":0.0001233713,"about_ca_system_score_gemma":0.00007120238,"threshold_uncertainty_score":0.7594852},"labels":[],"label_agreement":null},{"id":"W2083974890","doi":"10.1074/jbc.m414028200","title":"Interdomain and Membrane Interactions of CTP:Phosphocholine Cytidylyltransferase Revealed via Limited Proteolysis and Mass Spectrometry","year":2005,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chemistry; Phosphocholine; C2 domain; Proteolysis; Biochemistry; Protease; Membrane; Phospholipid; Biophysics; Enzyme; Phosphatidylcholine; Biology","score_opus":0.012349262261235491,"score_gpt":0.26544136017333103,"score_spread":0.2530920979120955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083974890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97843546,0.0005571703,0.019515114,0.0006420065,0.000006243186,0.00007892158,0.000036251706,0.00002688529,0.0007019302],"genre_scores_gemma":[0.91963613,0.0008901367,0.07909293,0.000046345776,0.00016420602,0.000015144507,0.000010547206,0.000010809434,0.00013373127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887276,0.00001263758,0.0006341164,0.00020825554,0.0001100378,0.0001621866],"domain_scores_gemma":[0.99901617,0.00012957898,0.00040050395,0.00018671186,0.00011771545,0.00014929424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018177464,0.00017292459,0.00038848945,0.000041800966,0.00005365815,0.000015651158,0.00017793612,0.00017531743,0.00043903643],"category_scores_gemma":[0.00012955368,0.00013289586,0.00012749778,0.00014206689,0.00017753123,0.000088653534,0.000053906104,0.00053621037,4.7347987e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019677369,0.00013307009,0.0014267403,0.00010177652,0.00004928837,0.000007147311,0.000023834962,0.000005751179,0.9954239,0.000015781437,0.000015078024,0.0026008538],"study_design_scores_gemma":[0.0005841873,0.000064303604,0.00011720909,0.00009066541,0.000043698255,0.00038225667,0.0000741932,0.00021458369,0.9963017,0.0011265973,0.00086004904,0.00014055474],"about_ca_topic_score_codex":0.000002259513,"about_ca_topic_score_gemma":4.0288467e-7,"teacher_disagreement_score":0.059577815,"about_ca_system_score_codex":0.00006422711,"about_ca_system_score_gemma":0.000017314162,"threshold_uncertainty_score":0.5419336},"labels":[],"label_agreement":null},{"id":"W2084002557","doi":"10.1038/sj.mp.4002098","title":"Prominent synaptic and metabolic abnormalities revealed by proteomic analysis of the dorsolateral prefrontal cortex in schizophrenia and bipolar disorder","year":2007,"lang":"en","type":"article","venue":"Molecular Psychiatry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":229,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Wellcome Trust","keywords":"Bipolar disorder; Schizophrenia (object-oriented programming); Dorsolateral prefrontal cortex; Prefrontal cortex; Psychosis; Septin; Neuroscience; Psychology; Psychiatry; Biology; Genetics; Cognition","score_opus":0.002535776654822803,"score_gpt":0.2229976967022625,"score_spread":0.2204619200474397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084002557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906329,0.004368609,0.004159463,0.00018446273,0.000010671623,0.00038943515,0.000038224054,0.00003038851,0.00018582706],"genre_scores_gemma":[0.984519,0.0001094488,0.014955949,0.000050644376,0.000009170888,0.00009810885,0.000015391191,0.000028157554,0.00021413153],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991178,0.000017610166,0.00030794644,0.00026603354,0.0001025556,0.00018804765],"domain_scores_gemma":[0.9994389,0.000007981401,0.00015220615,0.0003363878,0.000014352756,0.000050179224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011912269,0.00015302417,0.00024591957,0.00010944625,0.00005607128,0.0000141650535,0.00014403815,0.00008188827,0.000029554434],"category_scores_gemma":[0.0000067044834,0.00011313761,0.00008062661,0.00031565197,0.000110763904,0.000039891405,0.00008009813,0.00016504225,2.9201422e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008115583,0.00009732363,0.3048388,0.00009852019,0.0003509738,0.0000011732262,0.00010605511,0.000009638243,0.69025916,0.0032819738,0.000015900103,0.00085931335],"study_design_scores_gemma":[0.0031096232,0.00008232589,0.634237,0.00022847818,0.0016322377,0.00004571872,0.00033298443,0.002365995,0.34600806,0.007874296,0.0030668038,0.0010164779],"about_ca_topic_score_codex":0.00017260583,"about_ca_topic_score_gemma":0.00020410243,"teacher_disagreement_score":0.3442511,"about_ca_system_score_codex":0.000014072621,"about_ca_system_score_gemma":0.00001940734,"threshold_uncertainty_score":0.4613618},"labels":[],"label_agreement":null},{"id":"W2084339286","doi":"10.1186/s12859-015-0540-1","title":"OpenMS-Simulator: an open-source software for theoretical tandem mass spectrum prediction","year":2015,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; University of Waterloo; National Natural Science Foundation of China","keywords":"Computer science; Computation; Software; Tandem mass spectrometry; Similarity (geometry); Simulation; Data mining; Artificial intelligence; Mass spectrometry; Algorithm; Chemistry","score_opus":0.03403832030887243,"score_gpt":0.3039335129003802,"score_spread":0.26989519259150774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084339286","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003133657,0.000012374142,0.9867571,0.00008056823,0.000039525752,0.00073699333,0.0002368759,0.0004608266,0.008542083],"genre_scores_gemma":[0.046271767,0.000008692423,0.9519769,0.00015455198,0.00017141413,0.0003542063,0.00039632988,0.00004894715,0.000617207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988972,0.0000075387434,0.00044113523,0.00018324358,0.00018588726,0.0002850157],"domain_scores_gemma":[0.9987588,0.00007884193,0.00018231057,0.0006160448,0.00012458234,0.00023943404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011714,0.00017836757,0.00019929191,0.000029379982,0.00017216771,0.00019432252,0.00066119747,0.00019343772,0.00010748191],"category_scores_gemma":[0.00017869241,0.0001630939,0.00004684885,0.000108224645,0.00011069641,0.00054847,0.0002135971,0.00016583309,0.000029725377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007687455,0.00061419775,0.013374483,0.0010731914,0.00012029752,0.0000014782321,0.0027719766,0.026313918,0.0030101675,0.90530354,0.022505838,0.02414218],"study_design_scores_gemma":[0.0013903955,0.00018760581,0.00001012384,0.000047392765,0.000037703427,0.000014467108,0.00078747846,0.76826894,0.022595491,0.140279,0.06602414,0.00035725458],"about_ca_topic_score_codex":0.0000035193477,"about_ca_topic_score_gemma":0.0000033517533,"teacher_disagreement_score":0.76502454,"about_ca_system_score_codex":0.0001252152,"about_ca_system_score_gemma":0.00014538209,"threshold_uncertainty_score":0.66507757},"labels":[],"label_agreement":null},{"id":"W2084674294","doi":"10.1021/pr0703223","title":"A Proteome Resource of Ovarian Cancer Ascites: Integrated Proteomic and Bioinformatic Analyses To Identify Putative Biomarkers","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"U.S. Department of Defense","keywords":"Proteome; Ovarian cancer; Proteomics; Biomarker discovery; Biomarker; Computational biology; Ascites; Human proteome project; Biology; Cancer biomarkers; Cancer; Bioinformatics; Identification (biology); Medicine; Internal medicine; Gene; Genetics","score_opus":0.09701701893645145,"score_gpt":0.48758793679221,"score_spread":0.3905709178557586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084674294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91617006,0.0002918438,0.079394676,0.00097175443,0.000012865047,0.00206612,0.00006052181,0.000036198137,0.0009959632],"genre_scores_gemma":[0.80310786,0.0001133325,0.19575106,0.000027091048,0.00012792148,0.00052519265,0.0000061376863,0.0000485463,0.00029285095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99669844,0.00011036516,0.001278699,0.00028978413,0.0010108503,0.00061183976],"domain_scores_gemma":[0.99658865,0.00036535322,0.0008335483,0.00039332613,0.0014192997,0.00039980217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004458036,0.00023860247,0.00052308745,0.0012160896,0.0002234317,0.00011166855,0.0006451464,0.00018828365,0.00015589435],"category_scores_gemma":[0.0012666219,0.00018869682,0.00015044036,0.0018203324,0.00030751873,0.00037390622,0.00025101402,0.0010817228,0.000006479706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068648515,0.00009739689,0.0005804179,0.00047583744,0.00019505742,0.000019921124,0.0010279362,0.00005243697,0.98995024,0.00008858091,0.00015763377,0.0066680717],"study_design_scores_gemma":[0.00073081395,0.00032767243,0.0010932878,0.0009929672,0.00003456653,0.00006416268,0.002282321,0.00032228927,0.9897573,0.0028029946,0.0013744928,0.00021715349],"about_ca_topic_score_codex":0.00028360385,"about_ca_topic_score_gemma":0.000014860831,"teacher_disagreement_score":0.11635638,"about_ca_system_score_codex":0.0004299987,"about_ca_system_score_gemma":0.00047248218,"threshold_uncertainty_score":0.7694833},"labels":[],"label_agreement":null},{"id":"W2084864412","doi":"10.1111/febs.12502","title":"Proteomics methods for subcellular proteome analysis","year":2013,"lang":"en","type":"review","venue":"FEBS Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Proteome; Protein subcellular localization prediction; Quantitative proteomics; Subcellular localization; Computational biology; Cell fractionation; Organelle; Complement (music); Biology; Cell biology; Bioinformatics; Biochemistry; Cytoplasm","score_opus":0.07663033483577882,"score_gpt":0.4430972071880006,"score_spread":0.3664668723522218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084864412","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.36678e-7,0.50330144,0.49484718,0.000018001203,0.000024719497,0.0013192837,0.00007598439,0.00006633199,0.0003463036],"genre_scores_gemma":[5.154178e-8,0.50991195,0.4834509,0.0000059723066,0.00040688753,0.0040383786,0.00014162423,0.00007741776,0.001966826],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973897,0.00009759307,0.0012553973,0.00054375536,0.00018258495,0.0005310032],"domain_scores_gemma":[0.9967263,0.00020322765,0.0016915652,0.00083395414,0.0002785942,0.00026640252],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081078784,0.0005846438,0.002111782,0.0003760172,0.00038552168,0.0002724179,0.0009600476,0.00067004916,0.0011122888],"category_scores_gemma":[0.00014822933,0.0004641373,0.002304413,0.00065269455,0.00006188441,0.0001372128,0.00013280449,0.0014072129,0.000039019364],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042378347,0.000049257247,5.993319e-7,0.0051333387,0.0013622509,0.0000026341609,0.000009470623,0.0000062384465,0.0010734411,0.00037997248,0.0004199966,0.99155855],"study_design_scores_gemma":[0.000118393975,0.000020502293,1.956632e-8,0.0012590006,0.0046352497,0.00016423794,0.0000046623686,0.00020916482,0.0030349644,0.007687946,0.98234177,0.00052410853],"about_ca_topic_score_codex":0.0000038670923,"about_ca_topic_score_gemma":3.1826235e-7,"teacher_disagreement_score":0.99103445,"about_ca_system_score_codex":0.00033701787,"about_ca_system_score_gemma":0.00029930042,"threshold_uncertainty_score":0.9998008},"labels":[],"label_agreement":null},{"id":"W2085329564","doi":"10.1158/1538-7445.am2011-4919","title":"Abstract 4919: Multiplexed EGFR signaling pathway analysis in FFPE tissue using quantitative mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"","keywords":"KRAS; Epidermal growth factor receptor; Cancer research; Signal transduction; Phosphorylation; Tyrosine kinase; Cetuximab; Receptor tyrosine kinase; Receptor; Biology; Targeted therapy; Colorectal cancer; Cancer; Cell biology; Biochemistry; Genetics","score_opus":0.18101438138683726,"score_gpt":0.45263244858511437,"score_spread":0.2716180671982771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085329564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96148527,0.0005494165,0.03232476,0.000038884602,0.00001085393,0.00025928474,0.00008427437,0.000075059994,0.0051722205],"genre_scores_gemma":[0.8578058,0.00009431568,0.14163804,0.0000065374143,0.000054005097,0.00017191682,0.000016491178,0.000031829615,0.00018109666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982574,0.000039286428,0.00032474144,0.00047935842,0.00035384152,0.0005453744],"domain_scores_gemma":[0.9989501,0.0001794406,0.00010630307,0.00044197185,0.00020460595,0.000117535354],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057945214,0.0001495023,0.00026920138,0.00051703746,0.0001763177,0.000039328646,0.0003875793,0.00013279138,0.0027217371],"category_scores_gemma":[0.00009377051,0.00015608178,0.00008585622,0.0018579372,0.00014063039,0.00013820823,0.00009486226,0.0007196455,0.000019972671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054841646,0.00005914731,0.0046582245,0.000054268916,0.00008108834,0.000020531059,0.0005136252,0.00069649797,0.99193734,0.0010646628,0.000005006195,0.0008547786],"study_design_scores_gemma":[0.00018164942,0.000015548529,0.0006688462,0.00007247266,0.000020555275,5.122843e-7,0.00078722753,0.0012740588,0.9919135,0.004716511,0.00016244828,0.00018666137],"about_ca_topic_score_codex":0.0031791737,"about_ca_topic_score_gemma":0.0002845432,"teacher_disagreement_score":0.10931328,"about_ca_system_score_codex":0.000552252,"about_ca_system_score_gemma":0.00014550405,"threshold_uncertainty_score":0.9981899},"labels":[],"label_agreement":null},{"id":"W2085439268","doi":"10.1016/j.ab.2010.12.003","title":"Peptide-to-protein distribution versus a competition for significance to estimate error rate in blood protein identification","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Competition (biology); Distribution (mathematics); Biology; Computational biology; Chemistry; Mathematics; Ecology","score_opus":0.014367984577318022,"score_gpt":0.32154577543057355,"score_spread":0.30717779085325553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085439268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255193,0.0000033561637,0.070920035,0.0015169488,0.00002045482,0.0009228921,0.00041947217,0.00014776604,0.0005297975],"genre_scores_gemma":[0.97176725,7.4262186e-7,0.023231745,0.000032877506,0.00012776592,0.0028435972,0.00079684734,0.00002927301,0.001169896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99832803,0.0000076391925,0.00046285096,0.0006582598,0.00016094158,0.00038226592],"domain_scores_gemma":[0.99876744,0.00006951406,0.00013053209,0.0006088582,0.00017834161,0.00024531488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025796058,0.00022486897,0.00021587245,0.000039731254,0.000123708,0.00007304269,0.00033581583,0.00022720065,0.00010305451],"category_scores_gemma":[0.00071201654,0.00025538643,0.000095554344,0.00035307193,0.000082027225,0.0000684119,0.00007619433,0.00035382807,0.000045625755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001839866,0.00015597849,0.000055903987,0.00011699248,0.000011391674,0.0000017848379,0.000007258364,0.000045104214,0.98722464,0.011746027,0.00008565912,0.00036528593],"study_design_scores_gemma":[0.00060976954,0.00003773386,0.000111259425,0.00009651833,0.000032329343,0.0000012199586,0.000022798617,0.001883998,0.99163246,0.0037853117,0.0014758048,0.00031081852],"about_ca_topic_score_codex":0.000025821702,"about_ca_topic_score_gemma":0.00003274187,"teacher_disagreement_score":0.047688287,"about_ca_system_score_codex":0.0001217038,"about_ca_system_score_gemma":0.00007138553,"threshold_uncertainty_score":0.9999898},"labels":[],"label_agreement":null},{"id":"W2085686596","doi":"10.1155/2014/818670","title":"Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine","year":2014,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Institute of Aging; Canadian Institutes of Health Research","keywords":"Identification (biology); Visualization; Computer science; Computational biology; Data visualization; Data science; Data mining; Information retrieval; Biology; Ecology","score_opus":0.08148480721462349,"score_gpt":0.4145918643771588,"score_spread":0.3331070571625353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085686596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97089505,0.00005532645,0.027400715,0.00016131438,0.00016486933,0.00028494716,0.0006937737,0.00010272611,0.00024126841],"genre_scores_gemma":[0.9819461,0.00024931642,0.013224092,0.000025014398,0.00048957474,0.000114822054,0.0036754555,0.00003432848,0.00024126678],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979147,0.0000708356,0.0005549663,0.00038658723,0.00071130967,0.00036162205],"domain_scores_gemma":[0.99888206,0.00016444088,0.00013001202,0.00040924628,0.00027511214,0.00013911293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011028768,0.0001470471,0.00015131223,0.0005267469,0.00025002155,0.00026633142,0.0005572361,0.000113246024,0.00018500454],"category_scores_gemma":[0.0003206863,0.0001565865,0.000029618284,0.0004286636,0.00021556401,0.000703636,0.00032504363,0.0003540244,0.000013865136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000227632,0.0008207909,0.02527399,0.00054518,0.00008971458,0.000006712777,0.0014020492,0.0011678501,0.92718285,0.018936463,0.00075604033,0.023590716],"study_design_scores_gemma":[0.00095134636,0.000041070743,0.0016133392,0.00019834284,0.0000073925785,0.000032988053,0.0006835735,0.71668136,0.27323124,0.002716204,0.0035860233,0.00025709433],"about_ca_topic_score_codex":0.00040340572,"about_ca_topic_score_gemma":0.000036061676,"teacher_disagreement_score":0.7155135,"about_ca_system_score_codex":0.0002928443,"about_ca_system_score_gemma":0.00007244112,"threshold_uncertainty_score":0.6385412},"labels":[],"label_agreement":null},{"id":"W2085887679","doi":"10.1186/1756-0500-7-444","title":"Fit-for-purpose curated database application in mass spectrometry-based targeted protein identification and validation","year":2014,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency; University of Manitoba; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Database; Annotation; Biomarker discovery; Sequence database; Computational biology; Identification (biology); Protein sequencing; Proteogenomics; Computer science; Proteomics; Bioinformatics; Biology; Genomics; Peptide sequence; Genome; Genetics; Gene","score_opus":0.08925710930691144,"score_gpt":0.39988688092980096,"score_spread":0.3106297716228895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085887679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30210856,0.000039825394,0.6960325,0.00030802833,0.0000034870407,0.0012130504,0.000087834844,0.00010133641,0.00010533234],"genre_scores_gemma":[0.79037076,0.000014985934,0.20488007,0.0000066764983,0.00006428907,0.003635396,0.000881286,0.000026742273,0.000119791766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984061,0.000095141695,0.00033725624,0.000521718,0.0003079094,0.00033184787],"domain_scores_gemma":[0.9982957,0.00056645955,0.00012932016,0.000640076,0.0002808659,0.00008756384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014540439,0.00013014153,0.00014152279,0.0002682049,0.00020308903,0.000102643775,0.0002613431,0.000119672455,0.000034532808],"category_scores_gemma":[0.0015362119,0.00013788548,0.000029679893,0.0006345501,0.000109459565,0.00019686484,0.000054961558,0.000289762,0.000016785161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066487104,0.00006907798,0.003012525,0.00022660376,0.0000020370142,1.11251175e-7,0.00001062429,0.00013573386,0.9875667,0.006326381,0.000025975622,0.0025577415],"study_design_scores_gemma":[0.00046770953,0.000026891834,0.0005996448,0.000052232637,0.000003289948,3.275705e-7,0.000018897448,0.067468904,0.9065312,0.023708666,0.0009775617,0.00014467943],"about_ca_topic_score_codex":0.00013985072,"about_ca_topic_score_gemma":0.00004666417,"teacher_disagreement_score":0.49115247,"about_ca_system_score_codex":0.00012472,"about_ca_system_score_gemma":0.00007582081,"threshold_uncertainty_score":0.56228065},"labels":[],"label_agreement":null},{"id":"W2086263387","doi":"10.1038/nmeth.3177","title":"LysargiNase mirrors trypsin for protein C-terminal and methylation-site identification","year":2014,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":151,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Arginine; Lysine; Biochemistry; Trypsin; Methylation; Biology; Peptide; Cleavage (geology); Chemistry; Amino acid; Enzyme; Gene","score_opus":0.019670028079585632,"score_gpt":0.39482473824690395,"score_spread":0.37515471016731833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086263387","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10299738,0.00028824757,0.89462996,0.00051852316,0.000032049105,0.00045548493,0.000034098684,0.00014295727,0.00090133114],"genre_scores_gemma":[0.1899664,0.000008383991,0.8076729,0.00006541031,0.00008732674,0.0006823752,0.00006783296,0.00002490901,0.0014244552],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991043,0.000062081264,0.0002319143,0.00035557567,0.000089934765,0.00015617283],"domain_scores_gemma":[0.9990783,0.0001943798,0.0001784377,0.00037746798,0.00010859157,0.000062841245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738695,0.00013948453,0.00016379145,0.000054053653,0.00015808207,0.000042144733,0.00013763027,0.0003398393,0.000027869977],"category_scores_gemma":[0.00042293489,0.000135264,0.00006330369,0.00011803317,0.000048696485,0.00009653431,0.000033567092,0.00035728264,0.0000020604682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021125485,0.000017184306,0.000043226013,0.00009034359,0.0000058580217,1.1847063e-7,0.000038170063,0.0000013158678,0.8832825,0.017541286,0.000061642284,0.09889727],"study_design_scores_gemma":[0.0002170813,0.000011668068,0.000094276744,0.000021333886,0.00002406815,0.000004748066,0.000010967629,0.0030191285,0.8513879,0.061940398,0.083120264,0.00014815523],"about_ca_topic_score_codex":0.0000051158468,"about_ca_topic_score_gemma":0.000002398047,"teacher_disagreement_score":0.098749116,"about_ca_system_score_codex":0.00003578419,"about_ca_system_score_gemma":0.000013204102,"threshold_uncertainty_score":0.55159056},"labels":[],"label_agreement":null},{"id":"W2086307871","doi":"10.1002/rcm.1992","title":"The use of proteotypic peptide libraries for protein identification","year":2005,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"","keywords":"Proteome; Chemistry; Peptide; Tandem mass spectrometry; Computational biology; Protein sequencing; Peptide sequence; Human proteome project; Sequence database; Bottom-up proteomics; Proteomics; Mass spectrometry; Biochemistry; Protein mass spectrometry; Chromatography; Biology; Gene","score_opus":0.04487851988701873,"score_gpt":0.3019429676205459,"score_spread":0.25706444773352716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086307871","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17715865,0.006355837,0.7656543,0.03204879,0.0000415756,0.00719697,0.00035271415,0.00079146825,0.010399651],"genre_scores_gemma":[0.42247722,0.0006982858,0.5727112,0.000014647345,0.000031018273,0.0028597272,0.000056965786,0.000022708364,0.0011282152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879324,0.000042643074,0.00059582264,0.00021464367,0.00012678225,0.00022683933],"domain_scores_gemma":[0.99654984,0.00043680836,0.00035884223,0.002513393,0.00010945344,0.000031661504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998548,0.00013238759,0.00016191683,0.00013028465,0.0003809906,0.000104946106,0.0013118897,0.00009550921,0.00005028391],"category_scores_gemma":[0.00030027184,0.00011999177,0.000091304144,0.0005010327,0.00028929889,0.00034847212,0.00019100973,0.0003124961,0.000005924235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041324944,0.00018963072,0.00052000885,0.000054286535,0.000024742161,2.9147262e-8,0.000078172714,0.00010224212,0.6027166,0.37844238,0.00029686763,0.017533679],"study_design_scores_gemma":[0.000314338,0.000025319994,0.00037689772,0.000072380986,0.000014650411,0.000001510897,0.0001332702,0.007612987,0.7213424,0.09530251,0.17459157,0.00021219003],"about_ca_topic_score_codex":0.00001211313,"about_ca_topic_score_gemma":0.000036434605,"teacher_disagreement_score":0.28313985,"about_ca_system_score_codex":0.00013190634,"about_ca_system_score_gemma":0.00007135882,"threshold_uncertainty_score":0.48931223},"labels":[],"label_agreement":null},{"id":"W2086675122","doi":"10.1080/02648725.2006.10648076","title":"LC-MS-based Protein and Peptide Quantification Using Stable Isotope Labels: From ICAT in General to Differential N-terminal Coding (dNIC) in Particular","year":2006,"lang":"en","type":"review","venue":"Biotechnology and Genetic Engineering Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Canadian Institute for Theoretical Astrophysics","keywords":"Peptide; Chemistry; Coding (social sciences); Differential (mechanical device); Terminal (telecommunication); Chromatography; Biochemistry; Computer science; Mathematics; Computer network","score_opus":0.036761338872461656,"score_gpt":0.3054798097627132,"score_spread":0.2687184708902516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086675122","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0654624,0.8696466,0.0633088,0.000038246155,0.000014655609,0.0013986842,0.00003986518,0.00008772162,0.0000030369868],"genre_scores_gemma":[0.0014660961,0.8669489,0.12997775,0.0000058602263,0.000050825613,0.0013918435,0.00008034197,0.000049314807,0.000029042729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811447,0.000032071137,0.00082307495,0.0006453636,0.000061491926,0.00032353445],"domain_scores_gemma":[0.9991442,0.00003366367,0.00023118508,0.0005226109,0.000010585802,0.00005774407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012444772,0.00039691478,0.0010913104,0.00023148097,0.00004762058,0.000031917636,0.00022579361,0.00065283134,0.000017048678],"category_scores_gemma":[0.000056949997,0.00038133122,0.00008477461,0.00031303265,0.00004282856,0.000025046418,0.00011450477,0.00050746615,0.0000040216896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069765833,0.000108350214,0.00011032765,0.014713484,0.000026340073,0.00003527946,0.000012998812,0.00061949407,0.2524717,0.0006034995,0.000018689596,0.7312729],"study_design_scores_gemma":[0.00028872612,0.000025336569,0.000046226094,0.017714605,0.00018233719,0.000032397176,0.0000015225171,0.011870832,0.039701626,0.000103901824,0.92921746,0.00081501954],"about_ca_topic_score_codex":0.00010081799,"about_ca_topic_score_gemma":0.000042774747,"teacher_disagreement_score":0.9291988,"about_ca_system_score_codex":0.00011090661,"about_ca_system_score_gemma":0.000033831213,"threshold_uncertainty_score":0.99986386},"labels":[],"label_agreement":null},{"id":"W2087084848","doi":"10.1134/s1061934810130010","title":"Mass spectrometric analysis of protein phosphorylation","year":2010,"lang":"en","type":"article","venue":"Journal of Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; HEC Montréal; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Chemistry; Mass spectrometry; Chromatography; Phosphorylation; Protein phosphorylation; Analytical Chemistry (journal); Biochemistry; Protein kinase A","score_opus":0.007938362851884399,"score_gpt":0.2718514423631731,"score_spread":0.26391307951128873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087084848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609789,0.000050191094,0.018452935,0.00014723753,0.0000074786176,0.00003322041,0.000017254277,0.0000170294,0.020295756],"genre_scores_gemma":[0.9661109,0.00001859505,0.032764237,0.000005828646,0.00012788398,0.000003795969,0.000009116819,0.000011148246,0.00094850024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987625,0.000002959571,0.00062904187,0.00013964523,0.00031863162,0.00014722654],"domain_scores_gemma":[0.9985344,0.000066608736,0.000644124,0.00031769977,0.00030023314,0.00013697105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021630517,0.000115119765,0.00038391582,0.00016898417,0.000030314497,0.000017072556,0.00029727424,0.00016863598,0.002258908],"category_scores_gemma":[0.00026828732,0.00010286487,0.00038068747,0.0012055718,0.000088196975,0.00007016023,0.000026124706,0.0006325851,0.0000014419707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030430374,0.00009896871,0.002667677,0.00004385114,0.0003419864,0.0000046026353,0.000005078031,0.00008075867,0.99529886,0.0009748937,0.00003771065,0.00041520555],"study_design_scores_gemma":[0.0001701743,0.000014334579,0.00022856554,0.000016523902,0.0006330688,0.000012144813,0.00002026606,0.004030796,0.9895471,0.0040791486,0.0011398421,0.00010806441],"about_ca_topic_score_codex":0.0000028321876,"about_ca_topic_score_gemma":4.259305e-7,"teacher_disagreement_score":0.019347256,"about_ca_system_score_codex":0.00005503456,"about_ca_system_score_gemma":0.0000646198,"threshold_uncertainty_score":0.9986532},"labels":[],"label_agreement":null},{"id":"W2088363255","doi":"10.1038/nmeth.1333","title":"A HUPO test sample study reveals common problems in mass spectrometry–based proteomics","year":2009,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":356,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; University of British Columbia; McGill University","funders":"U.S. Public Health Service; National Cancer Institute; University of California, Los Angeles; Ontario Genomics; National Institutes of Health; Canadian Institutes of Health Research; Genome Canada; National Center for Research Resources; Ontario Genomics Institute; University College Dublin; National Heart, Lung, and Blood Institute; McGill University","keywords":"Mass spectrometry; Proteomics; Chromatography; Sample (material); Chemistry; Computational biology; Sampling (signal processing); Database search engine; Computer science; Information retrieval; Biology; Biochemistry; Search engine","score_opus":0.020502704837242248,"score_gpt":0.3914492445158091,"score_spread":0.37094653967856683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088363255","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07666021,0.00028620302,0.914825,0.00082874874,0.00003319527,0.001997564,0.000086163505,0.00040529505,0.0048775743],"genre_scores_gemma":[0.33313665,0.0000083443465,0.6660137,0.00022600588,0.000077845965,0.0003735724,0.000027303773,0.000025592362,0.00011100412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982964,0.00011664904,0.00046250052,0.0005334693,0.00021030783,0.00038069393],"domain_scores_gemma":[0.99809587,0.00068392477,0.00021858714,0.00084338326,0.00007014152,0.0000880997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010963837,0.00027171706,0.00042662353,0.0001595676,0.00010185775,0.00004646633,0.00048330828,0.00045962053,0.00008865304],"category_scores_gemma":[0.0008114665,0.00026030798,0.00008975774,0.00078781747,0.000030977964,0.000071915034,0.000045022178,0.0016701854,0.0000021662568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022601473,0.00080455793,0.02021275,0.00004609681,0.00000783788,0.0000045878865,0.00006600453,0.00008324248,0.972562,0.00092800497,0.00008342492,0.005178864],"study_design_scores_gemma":[0.0010876794,0.0002634412,0.0040662712,0.00010084681,0.000029590301,0.000005212485,0.000077231765,0.0008794088,0.8185362,0.17149055,0.0029528046,0.00051075197],"about_ca_topic_score_codex":0.000031089,"about_ca_topic_score_gemma":0.000017908153,"teacher_disagreement_score":0.25647643,"about_ca_system_score_codex":0.00021327187,"about_ca_system_score_gemma":0.000042543976,"threshold_uncertainty_score":0.9999849},"labels":[],"label_agreement":null},{"id":"W2088455073","doi":"10.1107/s0108767302088244","title":"Integrating direct methods into a semi-automated, protein-phasing package","year":2002,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations of Crystallography","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"National Institutes of Health","keywords":"Phaser; Computer science; R package; Computational biology; Computational science; Biology; Physics; Optics","score_opus":0.01643527535650119,"score_gpt":0.3101464793751746,"score_spread":0.2937112040186734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088455073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36146766,0.00062214705,0.56352437,0.00097619824,0.00020793774,0.0017210785,0.00013802832,0.0058348347,0.06550773],"genre_scores_gemma":[0.75774723,0.00021670063,0.24077334,0.00004646338,0.0000924759,0.0007539879,0.000121194564,0.00008538038,0.00016324474],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967987,0.00016744767,0.0011584068,0.00087020145,0.0004283529,0.00057692017],"domain_scores_gemma":[0.9969314,0.00031116253,0.0008913449,0.0011766069,0.0004674891,0.00022202873],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050527556,0.0005517795,0.0006155098,0.001215583,0.00087693904,0.00019584569,0.0006340703,0.00042918662,0.0010187791],"category_scores_gemma":[0.00031915482,0.00057814317,0.00068641565,0.003082201,0.00066086964,0.00071631034,0.00016827368,0.0007095247,0.0000010198257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025100266,0.00041241632,0.0006061759,0.00018788631,0.00021155138,0.0000022365236,0.00046348677,0.00004328695,0.99308133,0.001415481,0.00037051694,0.00318056],"study_design_scores_gemma":[0.003427772,0.00076345704,0.0005830357,0.0014167731,0.00073975837,0.0002591051,0.0033441058,0.03830629,0.19853972,0.0725105,0.67603236,0.0040771095],"about_ca_topic_score_codex":0.00019435723,"about_ca_topic_score_gemma":0.000092999406,"teacher_disagreement_score":0.7945416,"about_ca_system_score_codex":0.00010517469,"about_ca_system_score_gemma":0.000039795657,"threshold_uncertainty_score":0.99989444},"labels":[],"label_agreement":null},{"id":"W2088585163","doi":"10.1039/b905580k","title":"Phosphoproteomics—finally fulfilling the promise?","year":2009,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Royal Society of Chemistry; Royal Society","keywords":"Phosphoproteomics; Phosphopeptide; Protein phosphorylation; Phosphorylation; Signal transduction; Computational biology; Posttranslational modification; Biology; Proteomics; Phosphoserine; Proteome; Biochemistry; Serine; Chemistry; Cell biology; Protein kinase A","score_opus":0.022182640875363636,"score_gpt":0.30419717468413954,"score_spread":0.2820145338087759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088585163","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000131747365,0.9822534,0.009451048,0.00007340333,0.00005170849,0.0018184832,0.00010194539,0.00031678108,0.0059201033],"genre_scores_gemma":[0.00005779307,0.9888923,0.007315875,0.00006158217,0.0002542938,0.001966857,0.00020102852,0.00014651612,0.0011037164],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975922,0.000055575198,0.00087640085,0.00072916015,0.00029820265,0.0004484616],"domain_scores_gemma":[0.99739695,0.00005013969,0.00074870244,0.0016181137,0.0000783568,0.00010771782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027262996,0.0006373162,0.0012212233,0.00006462803,0.0002404739,0.00014950478,0.0012107568,0.0005916621,0.00007319598],"category_scores_gemma":[0.000036030906,0.00043753875,0.00078824785,0.00032262166,0.00006568927,0.00003075005,0.0001489554,0.00080507365,0.0001050784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046596774,0.000065948916,2.1802268e-7,0.012507532,0.00019158053,0.000053063093,0.00001924215,0.0000041296953,0.007586065,0.004928508,0.00047471374,0.97416437],"study_design_scores_gemma":[0.00007550133,0.000012399759,5.332132e-9,0.0073927934,0.00028684226,0.00013050891,0.000006174192,0.000021197893,0.0138074085,0.00068768376,0.97706383,0.00051565055],"about_ca_topic_score_codex":0.000020013422,"about_ca_topic_score_gemma":0.0000012932427,"teacher_disagreement_score":0.97658914,"about_ca_system_score_codex":0.00020926338,"about_ca_system_score_gemma":0.00019531114,"threshold_uncertainty_score":0.99980766},"labels":[],"label_agreement":null},{"id":"W2089199521","doi":"10.1111/j.1399-3054.2011.01536.x","title":"N‐ and C‐terminal degradomics: new approaches to reveal biological roles for plant proteases from substrate identification","year":2011,"lang":"en","type":"review","venue":"Physiologia Plantarum","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Deutscher Akademischer Austauschdienst; Michael Smith Health Research BC","keywords":"Proteases; Protease; Proteolysis; Biology; Proteomics; Cleavage (geology); Biochemistry; Computational biology; Cell biology; Enzyme; Gene","score_opus":0.2479632906174715,"score_gpt":0.3199625646666821,"score_spread":0.07199927404921061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089199521","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007507971,0.96715266,0.0065500797,0.00005614813,0.000069548776,0.0038176163,0.014330652,0.0003970855,0.00011825139],"genre_scores_gemma":[0.0004520155,0.950009,0.033961743,0.000026910035,0.00057940494,0.0035788799,0.011159764,0.00005895515,0.00017336702],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795,0.0000337963,0.00063278264,0.00094272,0.00006271128,0.00037797922],"domain_scores_gemma":[0.9985075,0.00023840668,0.000523142,0.00052642915,0.000014460413,0.00019004988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009880721,0.0005304474,0.0011266262,0.0000623139,0.00015027534,0.000058238624,0.00054944685,0.0004940983,0.000025887784],"category_scores_gemma":[0.000041758605,0.00039645637,0.00024239672,0.00007016112,0.00008916406,0.00006376741,0.00016523655,0.00034344822,0.0000260295],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005226315,0.00023691398,0.000049162638,0.0062844055,0.00029506063,0.0000074736317,0.00010830756,0.0000016823415,0.010669122,0.0040843366,0.0030194102,0.9747215],"study_design_scores_gemma":[0.00045406868,0.00021291511,0.00008007845,0.005488655,0.0007789026,0.00009771051,0.00005529995,0.000040061168,0.021836085,0.06382255,0.9053178,0.0018159113],"about_ca_topic_score_codex":0.0001131305,"about_ca_topic_score_gemma":0.000010577338,"teacher_disagreement_score":0.9729056,"about_ca_system_score_codex":0.00006121478,"about_ca_system_score_gemma":0.00010244414,"threshold_uncertainty_score":0.9998487},"labels":[],"label_agreement":null},{"id":"W2089255894","doi":"10.1016/j.semcdb.2012.05.005","title":"Sample preparation and analytical strategies for large-scale phosphoproteomics experiments","year":2012,"lang":"en","type":"review","venue":"Seminars in Cell and Developmental Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Biology; Phosphopeptide; Phosphorylation; Protein phosphorylation; Posttranslational modification; Protein function; Mass spectrometry; Proteomics; Computational biology; Sample preparation; Biochemistry; Enzyme; Chromatography; Chemistry; Protein kinase A","score_opus":0.036366218975206886,"score_gpt":0.355163619534253,"score_spread":0.31879740055904615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089255894","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024575486,0.9866349,0.008060848,0.0000034100983,0.000027374792,0.00072388066,0.0003517509,0.000037003312,0.001703292],"genre_scores_gemma":[0.0005486026,0.86114883,0.13595217,0.000012416808,0.000034815366,0.0011772324,0.00086912495,0.00002350939,0.00023328613],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882936,0.00001181734,0.00039704007,0.00042278712,0.000032751846,0.00030626776],"domain_scores_gemma":[0.9994854,0.00016217069,0.00014716327,0.0001220628,0.000012745371,0.00007050017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012238446,0.00027392278,0.00057230203,0.00005202966,0.00009928906,0.000024431913,0.00010992464,0.00042468324,0.00006152169],"category_scores_gemma":[0.000009659772,0.00024389468,0.00005861521,0.000062774525,0.000080631005,0.00006045613,0.00016522815,0.00017770832,0.0000025873562],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105643085,0.00041548352,0.0011462722,0.011169108,0.000089426016,0.0000016219184,0.0018000432,2.4127888e-7,0.0034115328,0.010182116,0.00031224982,0.9713663],"study_design_scores_gemma":[0.00024360302,0.000035123812,5.668198e-7,0.0006201861,0.00006263837,0.000020380437,0.0006704773,0.00004662652,0.006436815,0.003825039,0.9876505,0.00038801483],"about_ca_topic_score_codex":0.000010966674,"about_ca_topic_score_gemma":0.0000074724817,"teacher_disagreement_score":0.9873383,"about_ca_system_score_codex":0.00011509553,"about_ca_system_score_gemma":0.00011250255,"threshold_uncertainty_score":0.99457365},"labels":[],"label_agreement":null},{"id":"W2089542818","doi":"10.1021/ac900735j","title":"Proteomics: From Technology Developments to Biological Applications","year":2009,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Citation; Library science; Phone; Social media; Computer science; World Wide Web","score_opus":0.04304004243949702,"score_gpt":0.35529634836356067,"score_spread":0.3122563059240636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089542818","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000038280043,0.94153637,0.027467318,0.00026477856,0.000007909583,0.0013447137,0.0006012598,0.0009451536,0.02779425],"genre_scores_gemma":[0.000013919632,0.88685584,0.1048267,0.000090736,0.0003269331,0.004541348,0.0012281759,0.0000686807,0.0020476913],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99721307,0.0000072187677,0.0008851775,0.0011846019,0.00018955406,0.0005203819],"domain_scores_gemma":[0.9979656,0.00010475707,0.00029727645,0.0012116747,0.00009401508,0.00032670627],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000066065535,0.00061955577,0.001403834,0.00008638743,0.00014103291,0.00005908811,0.0012851416,0.0015140089,0.0007809188],"category_scores_gemma":[0.000116456395,0.0005482151,0.0003679482,0.0007410113,0.00014436495,0.000030167577,0.0004032797,0.0010920926,0.00045487008],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004261128,0.00016871856,0.000010941234,0.0014567494,0.0001438794,0.000009381841,0.0000022751747,3.812134e-7,0.0012719488,0.0012321053,0.00059129734,0.99510807],"study_design_scores_gemma":[0.00006240111,0.0000056116332,1.233011e-7,0.0014462565,0.00019906198,0.000017132881,0.0000056268173,0.0000049339965,0.0071993447,0.007021532,0.98342043,0.00061756256],"about_ca_topic_score_codex":0.0000035452101,"about_ca_topic_score_gemma":2.4983285e-7,"teacher_disagreement_score":0.9944905,"about_ca_system_score_codex":0.00036989347,"about_ca_system_score_gemma":0.00024262139,"threshold_uncertainty_score":0.99978226},"labels":[],"label_agreement":null},{"id":"W2089717004","doi":"10.1002/jms.1415","title":"Utility of formaldehyde cross‐linking and mass spectrometry in the study of protein–protein interactions","year":2008,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":272,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Chemistry; Formaldehyde; Immunoprecipitation; Protein–protein interaction; Mass spectrometry; Proteomics; Covalent bond; Multiprotein complex; Biophysics; DNA; Biochemistry; Computational biology; Nanotechnology; Chromatography; Organic chemistry; Biology; Gene","score_opus":0.022168153659594857,"score_gpt":0.3074431733554433,"score_spread":0.28527501969584845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089717004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97698945,0.00025301057,0.019444592,0.00011593356,0.000017105061,0.00042760084,0.000014623431,0.000015068734,0.0027226245],"genre_scores_gemma":[0.93964165,0.00007669583,0.060032874,0.000007377362,0.00009743243,0.000031576135,0.0000013876162,0.000018519566,0.000092478396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979659,0.000057190962,0.0010570107,0.0002003279,0.00046885337,0.00025072214],"domain_scores_gemma":[0.9980279,0.00013909147,0.0011399355,0.00045524666,0.00017620524,0.00006157413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430288,0.00018650139,0.00046850715,0.0004006335,0.00013225648,0.000024640723,0.00050372124,0.000094936055,0.00018704114],"category_scores_gemma":[0.00013364859,0.00014559623,0.00015272801,0.00072401634,0.00015640077,0.0002920376,0.00007380515,0.0009895285,5.0251043e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018739504,0.00091643276,0.078708194,0.00013783782,0.00007567938,0.00003451009,0.00054981804,0.000014688937,0.9184899,0.00057050906,0.000008612242,0.00030643685],"study_design_scores_gemma":[0.0015570886,0.0006251757,0.029915268,0.00023825311,0.000047486945,0.00033353159,0.0025092706,0.00012894346,0.94441897,0.019825155,0.00018613478,0.00021470303],"about_ca_topic_score_codex":0.000028923494,"about_ca_topic_score_gemma":0.000008690319,"teacher_disagreement_score":0.04879293,"about_ca_system_score_codex":0.00008428975,"about_ca_system_score_gemma":0.00006630173,"threshold_uncertainty_score":0.59372425},"labels":[],"label_agreement":null},{"id":"W2089806615","doi":"10.1021/pr0498842","title":"Global Protein Shotgun Expression Profiling of Proliferating MCF-7 Breast Cancer Cells","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"MCF-7; Breast cancer; Shotgun proteomics; Proteomics; Biology; Cancer research; Cell cycle; Cell growth; Malignant transformation; Signal transduction; Cancer cell; Shotgun; Apoptosis; Proteogenomics; Cancer; Cell biology; Human breast; Gene expression; Transcriptome; Biochemistry; Genetics; Gene","score_opus":0.04112259379073808,"score_gpt":0.399392836436894,"score_spread":0.3582702426461559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089806615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986865,0.00040693983,0.008292817,0.0012184937,0.000015904367,0.001194977,0.00012549464,0.00003802345,0.0018423763],"genre_scores_gemma":[0.7721081,0.00008576075,0.22639763,0.000006208676,0.00064273167,0.00043521068,0.000001600323,0.000026333093,0.00029646044],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99743325,0.00007647899,0.0007948447,0.00024066439,0.0009912862,0.00046347236],"domain_scores_gemma":[0.997641,0.00004858371,0.0005907758,0.00033449178,0.0011961538,0.00018898454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013228022,0.00015968873,0.00031320934,0.00013160163,0.0002018408,0.000053566633,0.0005702503,0.00016674564,0.00041944347],"category_scores_gemma":[0.0001047902,0.00012896807,0.00012934902,0.00042726303,0.00013539409,0.0003087446,0.00019516873,0.00089819374,0.000005673401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019822386,0.00018784979,0.0009614689,0.0003089903,0.000017549834,0.000005341548,0.00005425912,0.00035159083,0.98974454,0.00030253473,0.00017296907,0.007694661],"study_design_scores_gemma":[0.0004088457,0.00006730791,0.00003904785,0.0008733884,0.000006012915,0.000067066314,0.00010306545,0.00052384386,0.99502075,0.0019368525,0.0008300326,0.00012380393],"about_ca_topic_score_codex":0.00002695039,"about_ca_topic_score_gemma":0.000003706637,"teacher_disagreement_score":0.21810481,"about_ca_system_score_codex":0.0004216653,"about_ca_system_score_gemma":0.00046819384,"threshold_uncertainty_score":0.5259165},"labels":[],"label_agreement":null},{"id":"W2090166572","doi":"10.1002/prca.200800019","title":"A qualitative proteome investigation of the sediment portion of human urine: Implications in the biomarker discovery process","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Institute for Marine Biosciences; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Biomarker discovery; Proteome; Biomarker; Urine; Computational biology; Process (computing); Sediment; Human proteome project; Biology; Proteomics; Bioinformatics; Medicine; Computer science; Internal medicine; Genetics; Gene; Paleontology","score_opus":0.1060451235873162,"score_gpt":0.44031170946011206,"score_spread":0.33426658587279584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090166572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94521964,0.000026495803,0.046433188,0.0031929608,0.000008785421,0.0039389487,0.0001960585,0.00005449606,0.00092943094],"genre_scores_gemma":[0.96984327,0.00006303792,0.015381507,0.0001341662,0.000059599006,0.014250878,0.0001207579,0.000026388896,0.000120421704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99725026,0.00014699087,0.001611518,0.00046394285,0.0003124386,0.00021483233],"domain_scores_gemma":[0.99677044,0.00039502943,0.0012980063,0.0011951724,0.00028109382,0.00006023116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010117445,0.0002016723,0.00033710434,0.000069190966,0.00034572982,0.000014767401,0.00092494837,0.00018982406,0.000015756561],"category_scores_gemma":[0.00018368075,0.00014074694,0.00022243359,0.00085800735,0.0009766814,0.000184185,0.00013698508,0.00048559668,0.0000024965868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007996866,0.001894983,0.10027309,0.0004640018,0.0000879122,3.0444465e-7,0.005211173,0.000102534745,0.7426412,0.14814141,0.00020073207,0.0009026703],"study_design_scores_gemma":[0.000983439,0.000092318005,0.08975538,0.00015254735,0.00008529096,0.000016606544,0.0013004891,0.00020637509,0.53572893,0.3707334,0.00053397997,0.00041121966],"about_ca_topic_score_codex":0.00006703311,"about_ca_topic_score_gemma":0.000017028407,"teacher_disagreement_score":0.222592,"about_ca_system_score_codex":0.000068504945,"about_ca_system_score_gemma":0.00021749742,"threshold_uncertainty_score":0.57394934},"labels":[],"label_agreement":null},{"id":"W2090408997","doi":"10.1016/j.cbpa.2006.11.037","title":"Proteomic discovery of protease substrates","year":2006,"lang":"en","type":"review","venue":"Current Opinion in Chemical Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Proteome; Proteases; Proteomics; Protease; Computational biology; Biology; Quantitative proteomics; Biochemistry; Chemistry; Enzyme","score_opus":0.07419626317975715,"score_gpt":0.40524992613444216,"score_spread":0.331053662954685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090408997","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033253242,0.9968568,0.0005328984,0.000009482068,0.00018659515,0.0010609975,0.00066391914,0.00007231505,0.00028445732],"genre_scores_gemma":[0.00011800637,0.99133307,0.0019179543,6.5591576e-7,0.00039515455,0.0029556677,0.0032143896,0.000040598,0.00002452744],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791867,0.00003171155,0.0010441806,0.000612465,0.00007174994,0.00032125428],"domain_scores_gemma":[0.99866647,0.00010734113,0.0006453273,0.0004960897,0.000035239405,0.000049556438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000082119564,0.00040633624,0.0012026266,0.000101659956,0.000019193061,0.000011505615,0.000513661,0.0006054291,0.000040879466],"category_scores_gemma":[0.00005809588,0.00033988713,0.00034580202,0.0002236232,0.00024221423,0.000049393842,0.00018121405,0.00078753394,0.000009420073],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014351619,0.00045117852,0.00014033548,0.05235979,0.00002453884,2.2271949e-7,0.0000035299734,3.399446e-7,0.012560538,0.005930337,0.00034589766,0.92816895],"study_design_scores_gemma":[0.0001745689,0.000011422234,2.5337778e-7,0.010337917,0.00003289373,0.0000065579447,7.6061616e-7,0.0000032722658,0.036406886,0.006805442,0.9458152,0.00040482392],"about_ca_topic_score_codex":0.0000114045415,"about_ca_topic_score_gemma":1.00650134e-7,"teacher_disagreement_score":0.9454693,"about_ca_system_score_codex":0.00014466251,"about_ca_system_score_gemma":0.00017420847,"threshold_uncertainty_score":0.9999053},"labels":[],"label_agreement":null},{"id":"W2090864074","doi":"10.1002/pmic.201300382","title":"Proteomic profiles of human lung adeno and squamous cell carcinoma using super‐SILAC and label‐free quantification approaches","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Stable isotope labeling by amino acids in cell culture; Proteome; Proteomics; Quantitative proteomics; Adenocarcinoma; Lung cancer; Cancer research; Computational biology; Carcinoma; Biology; Pathology; Cancer; Medicine; Bioinformatics; Internal medicine; Biochemistry; Gene","score_opus":0.041325083441485985,"score_gpt":0.26941026898666465,"score_spread":0.22808518554517865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090864074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578688,0.00020210123,0.03975973,0.0000815578,0.0000072705193,0.0012039323,0.00006320079,0.000099407735,0.00071397814],"genre_scores_gemma":[0.784788,0.000014134663,0.21451856,0.0000072934426,0.00006115693,0.0004322951,0.000035067333,0.000046912002,0.00009654486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864,0.000029594139,0.00042365407,0.0005065403,0.00013717255,0.00026304126],"domain_scores_gemma":[0.9988055,0.000038491744,0.000318046,0.00067119056,0.000075044205,0.00009167649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024405385,0.0002485034,0.0002991889,0.00007193938,0.00025893498,0.00005240417,0.00028523515,0.00020709359,0.000011745918],"category_scores_gemma":[0.000060195736,0.00025776276,0.000039103128,0.00009731586,0.00023071494,0.00014262326,0.00022026319,0.00025839207,7.017486e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000252773,0.0000909114,0.01626349,0.00084991334,0.0000046229748,2.0258922e-7,0.00020221934,0.0000135413375,0.97611177,0.0059324442,0.000012040867,0.0004935427],"study_design_scores_gemma":[0.0006971586,0.0000511594,0.0006564734,0.000039080718,0.000040579944,0.00001116758,0.0000813446,0.028212303,0.9634091,0.0064857835,0.000024566836,0.00029125938],"about_ca_topic_score_codex":0.0001029145,"about_ca_topic_score_gemma":0.0000034922598,"teacher_disagreement_score":0.17475884,"about_ca_system_score_codex":0.00005800583,"about_ca_system_score_gemma":0.000036468686,"threshold_uncertainty_score":0.9999875},"labels":[],"label_agreement":null},{"id":"W2091311489","doi":"10.1002/pmic.200401033","title":"A proteomic tool for protein identification from tandem mass spectral data","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Tandem mass spectrometry; Identification (biology); Tandem; Mass spectrometry; Contiguity; Ranking (information retrieval); Proteomics; Computational biology; Chemistry; Chromatography; Computer science; Biology; Artificial intelligence; Biochemistry; Materials science","score_opus":0.02784043866749697,"score_gpt":0.2976543078436687,"score_spread":0.26981386917617173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091311489","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37887853,0.000040248644,0.6149476,0.0010236235,0.000018930617,0.00318762,0.0011505559,0.00036233876,0.00039051622],"genre_scores_gemma":[0.2662896,0.000024143565,0.7243849,0.000056441248,0.0007579126,0.005914248,0.0012364031,0.0000712204,0.0012650954],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792385,0.000012357431,0.00060143153,0.000856347,0.0001956955,0.0004102919],"domain_scores_gemma":[0.997662,0.000028696644,0.00036585782,0.0017589439,0.00009855084,0.00008596409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029969675,0.0002745193,0.00025554825,0.000043435834,0.00023849151,0.00014417809,0.0011399034,0.00022360077,0.00021047938],"category_scores_gemma":[0.00014934292,0.00029473638,0.00009220635,0.000111457906,0.000069489295,0.0004790329,0.00019803245,0.00031654869,0.000073885065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068538924,0.00008313927,0.00025258752,0.00004713618,0.000026093861,3.5447906e-7,0.00003213308,0.000048164486,0.9901008,0.0030428746,0.00036125988,0.0059369006],"study_design_scores_gemma":[0.00061108475,0.000014192788,0.00004722896,0.00004772223,0.000028547225,0.0000022912282,0.000011441705,0.018536052,0.9160257,0.04843088,0.015869958,0.00037490946],"about_ca_topic_score_codex":0.000028140003,"about_ca_topic_score_gemma":0.000009715262,"teacher_disagreement_score":0.11258891,"about_ca_system_score_codex":0.0002297462,"about_ca_system_score_gemma":0.000110777095,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W2091387465","doi":"10.1002/1522-2683()22:6<1194::aid-elps1194>3.0.co;2-a","title":"Archived polyacrylamide gels as a resource for proteome characterization by mass spectrometry","year":2001,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Sciex (Canada)","funders":"National Institute of General Medical Sciences","keywords":"Proteome; Mass spectrometry; Chemistry; Protein mass spectrometry; Chromatography; Tandem mass spectrometry; Bottom-up proteomics; Matrix-assisted laser desorption/ionization; Proteomics; Peptide; Polyacrylamide gel electrophoresis; Gel electrophoresis; Two-dimensional gel electrophoresis; Tandem mass tag; Desorption; Biochemistry; Quantitative proteomics","score_opus":0.005674701716782118,"score_gpt":0.23951542716134375,"score_spread":0.23384072544456164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091387465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4645846,0.00016343757,0.5260812,0.0014823668,0.0000074652585,0.00081916887,0.00018405107,0.00038699876,0.00629068],"genre_scores_gemma":[0.7747497,0.001959712,0.16892521,0.0010339735,0.00084764673,0.0061124098,0.002573537,0.00031168357,0.043486148],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99856955,0.00001318285,0.00027825142,0.0004594442,0.00016648385,0.00051306497],"domain_scores_gemma":[0.99916685,0.00006220866,0.00017459157,0.00044431892,0.000044307995,0.000107731816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074725125,0.0002228435,0.00021642483,0.00009095666,0.00021772877,0.000052674557,0.00030966225,0.00012680034,0.00034304493],"category_scores_gemma":[0.00006111418,0.00023628403,0.00011430492,0.00024021692,0.000047213878,0.00007487468,0.00003346511,0.00022609062,0.000019854124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020948387,0.000057855483,0.00010904481,0.000024373692,0.000023661685,0.0000023379898,0.00002390642,6.4643496e-7,0.99455327,0.0011768289,0.0008305162,0.0029880693],"study_design_scores_gemma":[0.00027561132,0.000085002066,0.00007158854,0.000015679117,0.000016823733,0.000015591153,0.000009262729,0.00009333841,0.8398033,0.0124960495,0.14687794,0.0002398618],"about_ca_topic_score_codex":0.000016478012,"about_ca_topic_score_gemma":0.0000014505334,"teacher_disagreement_score":0.357156,"about_ca_system_score_codex":0.00014597503,"about_ca_system_score_gemma":0.000039860806,"threshold_uncertainty_score":0.9635383},"labels":[],"label_agreement":null},{"id":"W2091773180","doi":"10.1021/pr1011087","title":"In-Depth Proteomics of Ovarian Cancer Ascites: Combining Shotgun Proteomics and Selected Reaction Monitoring Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University Health Network; BC Cancer Agency; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Ovarian cancer; Shotgun proteomics; Proteome; Cancer; Quantitative proteomics; Cancer biomarkers; Ascites; Mesothelin; Computational biology; Bioinformatics; Biology; Medicine; Internal medicine; Biochemistry; Gene","score_opus":0.08602252626312504,"score_gpt":0.38174981225346677,"score_spread":0.2957272859903417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091773180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854176,0.00025728947,0.011574512,0.00021375674,0.000043499414,0.0010081868,0.000010382328,0.000028845105,0.0014459166],"genre_scores_gemma":[0.67962784,0.0007881428,0.31885126,0.0000022930465,0.00021557692,0.0003418123,9.748743e-7,0.00004266948,0.00012941386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99752885,0.00009744716,0.0008737838,0.00030995137,0.0006638618,0.0005260958],"domain_scores_gemma":[0.99767387,0.00011185455,0.000693246,0.00034117224,0.0009994955,0.0001803662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017958444,0.00020308275,0.00045153534,0.0007100765,0.00014687907,0.00004584922,0.00046713397,0.0002484384,0.00009057098],"category_scores_gemma":[0.0003783551,0.00019320843,0.00007849557,0.0012180917,0.00018721248,0.00048194412,0.0001346223,0.0019111317,0.0000014222272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003856562,0.00016977149,0.026097436,0.00026977563,0.000050543622,0.00002007879,0.000488154,0.0000052447826,0.97152483,0.0004128002,0.000009493762,0.00056623155],"study_design_scores_gemma":[0.0008434138,0.00023077244,0.006147324,0.0006067302,0.00001457652,0.000072496696,0.00038978248,0.00013721814,0.9774331,0.013892839,0.000053001397,0.00017873576],"about_ca_topic_score_codex":0.00028911725,"about_ca_topic_score_gemma":0.00000821451,"teacher_disagreement_score":0.30727676,"about_ca_system_score_codex":0.00048934243,"about_ca_system_score_gemma":0.00040269893,"threshold_uncertainty_score":0.83030224},"labels":[],"label_agreement":null},{"id":"W2091831854","doi":"10.1002/pmic.201100182","title":"Speed improvements of peptide–spectrum matching using Single‐Instruction Multiple‐Data instructions","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SIMD; Computer science; Speedup; Parallel computing; Matching (statistics); Computation; Algorithm; Mathematics","score_opus":0.07074410374337613,"score_gpt":0.28498994290241697,"score_spread":0.21424583915904083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091831854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8058564,0.000010436328,0.19112055,0.0000125937,0.00007500042,0.0004088465,0.00017892076,0.0001695299,0.002167727],"genre_scores_gemma":[0.5177215,0.000010918328,0.48202533,0.000009928615,0.00008002728,0.000027100785,0.000049297112,0.00003477084,0.0000411216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986061,0.000008935114,0.00050951145,0.00044530758,0.00015439339,0.00027577346],"domain_scores_gemma":[0.99833304,0.00001465454,0.00046370106,0.0010438266,0.00007133651,0.0000734394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011147291,0.00020345954,0.00022074702,0.00008134505,0.00019080097,0.000023177758,0.000561789,0.00014356505,0.00012758217],"category_scores_gemma":[0.000044271208,0.00022504717,0.000068194575,0.0001733124,0.00011339299,0.0003884591,0.00038369527,0.0002786611,0.00000421305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047549285,0.0001325223,0.0031560126,0.00008380719,0.000033380853,6.478006e-7,0.00017258462,0.000067643814,0.9922389,0.0014969355,0.000004115314,0.0025659306],"study_design_scores_gemma":[0.0005094365,0.00002383847,0.000091259375,0.000065310414,0.000034335997,0.000031640204,0.00022366138,0.006858711,0.95988345,0.031871814,0.00016054302,0.0002460087],"about_ca_topic_score_codex":0.0006042962,"about_ca_topic_score_gemma":0.00003424059,"teacher_disagreement_score":0.2909048,"about_ca_system_score_codex":0.0001454398,"about_ca_system_score_gemma":0.000051304814,"threshold_uncertainty_score":0.9177157},"labels":[],"label_agreement":null},{"id":"W2091914257","doi":"10.1021/pr800986c","title":"Automated 2D Peptide Separation on a 1D Nano-LC-MS System","year":2009,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Proteome; Chromatography; Mass spectrometry; Peptide; Resolution (logic); Proteomics; Chemistry; High resolution; Instrumentation (computer programming); Chromatographic separation; High-performance liquid chromatography; Computer science; Artificial intelligence; Biochemistry","score_opus":0.04875135099176469,"score_gpt":0.42042079851774866,"score_spread":0.37166944752598396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091914257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9268105,0.000256735,0.014588566,0.0034767708,0.000050864008,0.0014000032,0.00002696408,0.0006698907,0.052719694],"genre_scores_gemma":[0.97027415,0.000058752503,0.027477516,0.000024847117,0.00035994494,0.000110960245,0.0000050856956,0.000023774868,0.0016649887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99783033,0.00008630766,0.00057802344,0.0002103016,0.000899634,0.0003953884],"domain_scores_gemma":[0.998263,0.00009641883,0.00035446402,0.00039061788,0.00071463623,0.00018084022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013958638,0.00014223829,0.00026379444,0.00027582725,0.0002632884,0.00010188366,0.00045604326,0.00016324612,0.00009562347],"category_scores_gemma":[0.00016558944,0.000116973446,0.00012476406,0.00042835722,0.00005616872,0.00019322355,0.00004230971,0.00095776457,0.000074528776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018847373,0.00015999035,0.00002612488,0.00011348923,0.000020633599,0.00004134203,0.00007533081,0.00017003893,0.98958915,0.0040117726,0.0038383298,0.0017652921],"study_design_scores_gemma":[0.0006614963,0.00069246255,0.00014288428,0.0007663787,0.000011535725,0.00026018202,0.00018924172,0.004841596,0.9755542,0.0048609087,0.011820615,0.00019844211],"about_ca_topic_score_codex":0.000010111194,"about_ca_topic_score_gemma":7.056217e-7,"teacher_disagreement_score":0.051054705,"about_ca_system_score_codex":0.0005334326,"about_ca_system_score_gemma":0.00019519331,"threshold_uncertainty_score":0.47700387},"labels":[],"label_agreement":null},{"id":"W2092197857","doi":"10.1016/j.ab.2004.05.038","title":"A method for proteomic identification of membrane-bound proteins containing Asn-linked oligosaccharides","year":2004,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Networks of Centres of Excellence of Canada","keywords":"Chemistry; Glycoprotein; Proteome; Membrane protein; Proteomics; Trypsin; Biochemistry; Matrix-assisted laser desorption/ionization; Bottom-up proteomics; Mass spectrometry; Integral membrane protein; Chromatography; Glycopeptide; Protein mass spectrometry; Tandem mass spectrometry; Membrane; Enzyme","score_opus":0.020337054906781716,"score_gpt":0.3298629021286271,"score_spread":0.3095258472218454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092197857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.509266,0.000038119695,0.48832592,0.0004840659,0.0000070024494,0.0006284574,0.00015611347,0.00014509466,0.0009492158],"genre_scores_gemma":[0.8011931,0.000012036515,0.19721541,0.000040577812,0.000094467316,0.0008793062,0.00012615277,0.00003015315,0.00040880434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983426,0.0000060366688,0.00066455564,0.0005033627,0.00018639132,0.00029709385],"domain_scores_gemma":[0.99867076,0.00009271425,0.00035067476,0.0005582395,0.00020950848,0.00011811526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028819893,0.00021452915,0.00032516368,0.000039597337,0.00012870927,0.00004095501,0.0003559723,0.00026208337,0.00006661685],"category_scores_gemma":[0.00027877936,0.00022059404,0.00020640646,0.00018236875,0.0001509857,0.00007285237,0.00006515404,0.00022633377,0.000005295158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007942312,0.00011776685,0.000040935225,0.0003762953,0.000054812863,8.3277655e-7,0.000029675832,0.000097619704,0.9881829,0.010255986,0.000012419118,0.00075133773],"study_design_scores_gemma":[0.0006425921,0.000029356066,0.000007881341,0.00009908118,0.00008312798,0.000009484309,0.00007160539,0.0025235147,0.971651,0.024477132,0.000170255,0.00023494365],"about_ca_topic_score_codex":0.00004790913,"about_ca_topic_score_gemma":0.0000012093791,"teacher_disagreement_score":0.2919271,"about_ca_system_score_codex":0.00015480844,"about_ca_system_score_gemma":0.0001689027,"threshold_uncertainty_score":0.8995564},"labels":[],"label_agreement":null},{"id":"W2092499299","doi":"10.1016/j.clinbiochem.2004.12.010","title":"Problems with the estimation of urine protein by automated assays","year":2005,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Québec; Hôpital de l'Enfant-Jésus; Hôpital du Saint-Sacrement; Hôpital Fleurimont","funders":"","keywords":"Chromatography; Chemistry; Urine; Coefficient of variation; Accuracy and precision; Automated method; Protein precipitation; Biochemistry; High-performance liquid chromatography; Computer science; Mathematics","score_opus":0.013556419717125004,"score_gpt":0.32113512947728867,"score_spread":0.30757870976016366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092499299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97552377,0.00014441392,0.0141750425,0.0031151648,0.0000037187208,0.00035240714,0.000082287275,0.00060566264,0.005997558],"genre_scores_gemma":[0.9547176,0.000016818994,0.042905755,0.00006732271,0.00008130018,0.00026942402,0.000117187985,0.000020063851,0.0018045381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989703,0.000008937355,0.0004449365,0.00028413333,0.00014138667,0.00015025413],"domain_scores_gemma":[0.9989117,0.00009158838,0.00031011648,0.000545427,0.00007395007,0.00006725632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021017811,0.00013273301,0.00017306257,0.0000051220404,0.000066234454,0.000013249366,0.00029415276,0.00018439066,0.00012178403],"category_scores_gemma":[0.00010357518,0.000089565576,0.000066480665,0.00009947703,0.00025365537,0.00003755634,0.000060220937,0.00029885443,0.000009908506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034263707,0.0003168815,0.00020074572,0.00014767972,0.000028904644,3.2263569e-7,0.000008761196,0.0003154712,0.98061615,0.00012229868,0.008112006,0.010096499],"study_design_scores_gemma":[0.0003219583,0.000027441554,0.000008865601,0.00008226886,0.000016597241,0.0000038275766,0.000009793614,0.0093385205,0.98109514,0.00023839985,0.00872962,0.00012755417],"about_ca_topic_score_codex":0.0000035759422,"about_ca_topic_score_gemma":5.176167e-7,"teacher_disagreement_score":0.028730715,"about_ca_system_score_codex":0.000029261817,"about_ca_system_score_gemma":0.000048282243,"threshold_uncertainty_score":0.3652378},"labels":[],"label_agreement":null},{"id":"W2092796626","doi":"10.1016/j.clinbiochem.2008.01.019","title":"Cytokine elevations in acute coronary syndrome and ovarian cancer: A mechanism for the up-regulation of the acute phase proteins in these different disease etiologies","year":2008,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mechanism (biology); Medicine; Etiology; Acute-phase protein; Ovarian cancer; Cytokine; Disease; Acute coronary syndrome; Cancer; Immunology; Internal medicine; Inflammation; Myocardial infarction","score_opus":0.040819826767562295,"score_gpt":0.35808306786382077,"score_spread":0.3172632410962585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092796626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924654,0.00011417253,0.003411165,0.002229657,0.000025017911,0.00080082566,0.00090416527,0.00003703259,0.000012589549],"genre_scores_gemma":[0.9949638,0.0009952514,0.0015374123,0.000083284416,0.000033138498,0.0019467558,0.00009924896,0.000015426838,0.00032563205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883014,0.000019075045,0.0005345013,0.0003399324,0.00010390036,0.00017242755],"domain_scores_gemma":[0.99874634,0.00033063735,0.00024513327,0.0005569438,0.000059500806,0.00006146212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012828325,0.00015615141,0.00024271768,0.00001565795,0.00011849128,0.000007036434,0.00032584477,0.00017265066,0.000026886348],"category_scores_gemma":[0.00023384948,0.00009999954,0.00012190594,0.00012516705,0.00033668254,0.0000353357,0.0001562056,0.00029782104,1.8134887e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066109514,0.0007879972,0.03834157,0.00015175466,0.00012984003,0.000009715497,0.00009294781,0.000027537102,0.953924,0.003536436,0.000071183415,0.0022659313],"study_design_scores_gemma":[0.0031356444,0.000075646334,0.09007272,0.00023506345,0.00016401093,0.00003716517,0.00006729112,0.003317221,0.86630535,0.036190476,0.000112632435,0.00028678522],"about_ca_topic_score_codex":0.000016970589,"about_ca_topic_score_gemma":0.00000818796,"teacher_disagreement_score":0.08761864,"about_ca_system_score_codex":0.000061043494,"about_ca_system_score_gemma":0.00010331852,"threshold_uncertainty_score":0.40778628},"labels":[],"label_agreement":null},{"id":"W2093182733","doi":"10.1002/pmic.200500206","title":"Systems level analysis of protein synthesis patterns associated with bacterial growth and metabolic transitions","year":2006,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Streptomyces coelicolor; Metabolic pathway; Proteome; Biology; Proteomics; Metabolomics; KEGG; Flux (metallurgy); Metabolic flux analysis; Transcriptome; Biochemistry; Metabolic network; Enzyme; Gene expression; Gene; Metabolism; Chemistry; Bioinformatics; Mutant","score_opus":0.012817166253871574,"score_gpt":0.22238283883975277,"score_spread":0.20956567258588119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093182733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86766136,0.000042692467,0.12939869,0.000065500695,0.0000037980928,0.0005425986,0.001836531,0.000097681586,0.00035113987],"genre_scores_gemma":[0.9725326,0.000021498485,0.025542738,0.0000032664427,0.00004245938,0.0015208742,0.0002282921,0.000030927855,0.00007739443],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898803,0.000024421104,0.00035742062,0.0002872657,0.00014585588,0.00019699986],"domain_scores_gemma":[0.99923646,0.000047324596,0.00029033548,0.00026979664,0.00010860975,0.00004748145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009937132,0.0001804777,0.00043705525,0.00013463343,0.00010392887,0.00004278666,0.00013660612,0.00013223907,0.000040763553],"category_scores_gemma":[0.00003408152,0.00016404521,0.000095241245,0.000401587,0.00007692196,0.000088225286,0.00002436746,0.0001258798,3.3426306e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049886887,0.00017212128,0.006960185,0.00012803629,0.000603234,0.0000013880608,0.00005152418,0.00021395736,0.9819495,0.009741995,0.0000020511409,0.00012610748],"study_design_scores_gemma":[0.0003216647,0.00001620205,0.004655649,0.00012698873,0.0010232277,0.0000027208516,0.000044803786,0.0017877492,0.9909582,0.00075231993,0.00003334752,0.00027710598],"about_ca_topic_score_codex":0.0006545797,"about_ca_topic_score_gemma":0.00012347316,"teacher_disagreement_score":0.10487118,"about_ca_system_score_codex":0.000032306893,"about_ca_system_score_gemma":0.000031655156,"threshold_uncertainty_score":0.66895694},"labels":[],"label_agreement":null},{"id":"W2094125753","doi":"10.1016/j.jprot.2012.06.020","title":"Comparison and applications of label-free absolute proteome quantification methods on Escherichia coli","year":2012,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":189,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Andlinger Center for Energy and the Environment, Princeton University; Agence Nationale pour le Développement de la Recherche Universitaire; Ettevõtluse Arendamise Sihtasutus; Haridus- ja Teadusministeerium; Canadian Association for the Study of the Liver","keywords":"Proteome; Escherichia coli; Ribosomal protein; Protein biosynthesis; Proteomics; Quantitative proteomics; Biology; Chemostat; Biochemistry; Label-free quantification; Cell-free protein synthesis; Enzyme; Chemistry; Computational biology; Ribosome; Bacteria; Gene; RNA; Genetics","score_opus":0.050487080412742406,"score_gpt":0.3919190567613371,"score_spread":0.3414319763485947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094125753","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25293252,0.0004008699,0.7446617,0.00029684015,0.000029978104,0.00065205013,0.000030375406,0.00003093088,0.0009647325],"genre_scores_gemma":[0.22857937,0.0001404039,0.7706094,0.000027355638,0.00021991933,0.00028217025,0.0000049825617,0.000027108636,0.0001092783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859625,0.000043278436,0.00080067676,0.00014710077,0.00019999061,0.00021267892],"domain_scores_gemma":[0.99760735,0.00011716611,0.0013598141,0.0005184123,0.00025157022,0.00014569516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081763836,0.0001606748,0.0003721663,0.00009832063,0.00010729336,0.000023020084,0.00038927363,0.00015705843,0.00003083198],"category_scores_gemma":[0.00014993385,0.00014751982,0.00007947292,0.00019877421,0.000108549015,0.00019097305,0.000087429224,0.0004609018,0.0000030395208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008885635,0.00039653727,0.0010682666,0.00012840844,0.000036899033,1.0968963e-7,0.00013517542,0.00003941043,0.9763974,0.014803283,0.0001617334,0.0067439354],"study_design_scores_gemma":[0.0005270081,0.00009728341,0.0005159583,0.00007549097,0.00005838838,0.00001569535,0.00010320771,0.00052645727,0.976528,0.010988775,0.010395,0.00016872064],"about_ca_topic_score_codex":0.0000054963216,"about_ca_topic_score_gemma":5.32196e-7,"teacher_disagreement_score":0.025947701,"about_ca_system_score_codex":0.00008159888,"about_ca_system_score_gemma":0.00005583115,"threshold_uncertainty_score":0.6015684},"labels":[],"label_agreement":null},{"id":"W2094588994","doi":"10.1002/pmic.201200162","title":"Combination of online enzyme digestion with stable isotope labeling for high‐throughput quantitative proteome analysis","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Proteome; Chemistry; Digestion (alchemy); Stable isotope labeling by amino acids in cell culture; Proteomics; Chromatography; Computational biology; Stable isotope ratio; Quantitative proteomics; Enzyme; Biochemistry; Biology","score_opus":0.02416734325502153,"score_gpt":0.30562050496266246,"score_spread":0.28145316170764095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094588994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44368157,0.00006899899,0.55470294,0.00013637141,0.000008185082,0.00096970843,0.0002600432,0.00007877856,0.00009339615],"genre_scores_gemma":[0.50275564,0.000029579216,0.4956238,0.000011050295,0.000035255413,0.0010102195,0.0003758877,0.000024542795,0.00013402596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988618,0.000013878921,0.00038296945,0.0002684209,0.00016645927,0.00030649363],"domain_scores_gemma":[0.99868846,0.000088923356,0.00045728296,0.00035452106,0.00034267624,0.00006812102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023473811,0.000185883,0.00033684904,0.00011158982,0.00013849969,0.00002008884,0.00017285095,0.00012479957,0.000035176483],"category_scores_gemma":[0.00008623281,0.0001704914,0.00008503899,0.000488682,0.00007087323,0.0003214375,0.000048706253,0.00016947623,0.0000017243648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003622841,0.00093996694,0.009766829,0.00037964762,0.00040083527,1.7042419e-7,0.0004024736,0.002661962,0.902554,0.08164013,0.000020726296,0.00087100826],"study_design_scores_gemma":[0.0006734622,0.00013288324,0.00037859456,0.00006134719,0.0002822988,0.0000011592053,0.00012988663,0.0056793443,0.98452425,0.007420178,0.00045629535,0.00026031898],"about_ca_topic_score_codex":0.00010439757,"about_ca_topic_score_gemma":0.000020740965,"teacher_disagreement_score":0.08197027,"about_ca_system_score_codex":0.0001153011,"about_ca_system_score_gemma":0.000049400216,"threshold_uncertainty_score":0.6952438},"labels":[],"label_agreement":null},{"id":"W2094600225","doi":"10.1016/j.jchromb.2009.02.024","title":"Evaluation of a solution isoelectric focusing protocol as an alternative to ion exchange chromatography for charge-based proteome prefractionation","year":2009,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Science and Industry Endowment Fund","keywords":"Chemistry; Chromatography; Isoelectric focusing; Proteome; Ion chromatography; Hydrophilic interaction chromatography; Protocol (science); Ion exchange; Ion; High-performance liquid chromatography; Biochemistry; Organic chemistry","score_opus":0.032777035521219196,"score_gpt":0.35916852174141284,"score_spread":0.32639148622019365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094600225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6132625,0.00008754455,0.34250918,0.0005376104,0.00005572096,0.0424885,0.00004294665,0.00011902,0.0008970169],"genre_scores_gemma":[0.89824706,0.000009641153,0.07022986,0.000074305055,0.0003568977,0.031019736,0.000024784908,0.0000321354,0.0000055871333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767727,0.00007864765,0.0007653373,0.00026759447,0.0009657207,0.00024543688],"domain_scores_gemma":[0.9960118,0.000047400772,0.0015021502,0.00027444243,0.002025595,0.00013860398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013521349,0.00021562818,0.00031628853,0.0008829427,0.00016805757,0.000044357894,0.0002602082,0.00014562169,0.00008847017],"category_scores_gemma":[0.00013837464,0.00020766925,0.00032825503,0.0008567201,0.000035080488,0.0005561656,0.000010132003,0.00019424726,9.464122e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004393281,0.0007083083,0.00008787588,0.00015477501,0.000067803594,5.30747e-7,0.0001534837,0.00032194494,0.957145,0.0003967289,0.00015395533,0.040370297],"study_design_scores_gemma":[0.002323933,0.0013492159,0.0005152559,0.00033395976,0.00014837862,0.000028546168,0.0000200967,0.008231009,0.95468265,0.030446323,0.0016921305,0.00022849916],"about_ca_topic_score_codex":0.000012554504,"about_ca_topic_score_gemma":0.0000023612438,"teacher_disagreement_score":0.2849846,"about_ca_system_score_codex":0.00020259088,"about_ca_system_score_gemma":0.00024149672,"threshold_uncertainty_score":0.84685063},"labels":[],"label_agreement":null},{"id":"W2096264619","doi":"10.1038/nmeth.1467","title":"Proteome-wide analysis of protein carboxy termini: C terminomics","year":2010,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Cleavage (geology); Escherichia coli; Mass spectrometry; Biochemistry; Chemistry; Protease; Proteomics; Posttranslational modification; Biology; Computational biology; Molecular biology; Enzyme; Chromatography; Gene","score_opus":0.00960631256621221,"score_gpt":0.369392126967692,"score_spread":0.35978581440147983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096264619","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81133497,0.00012115608,0.17115618,0.00025723586,0.0000674101,0.0006472939,0.000115295385,0.00022728885,0.016073145],"genre_scores_gemma":[0.31407928,0.000004806108,0.6845907,0.000051056424,0.00006633198,0.00034819494,0.000030270307,0.000023485667,0.00080586807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882436,0.00003644619,0.00038039096,0.00038995905,0.00014761888,0.00022124784],"domain_scores_gemma":[0.9983041,0.00017823144,0.00031457507,0.0009896201,0.00012858883,0.000084851745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005004346,0.00019511992,0.00042418874,0.00019875819,0.0000685674,0.000018364877,0.00047186154,0.0006640433,0.0002514543],"category_scores_gemma":[0.0004687972,0.00017847258,0.00025137767,0.0006797883,0.00010826945,0.000059003174,0.00010943721,0.0014365906,0.0000012160139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013326391,0.00004747847,0.0016529836,0.00004577181,0.0001353558,0.0000012000237,0.000036028025,0.0000069069883,0.96794546,0.0027477334,0.000018041257,0.027349701],"study_design_scores_gemma":[0.000106532614,0.000008769445,0.00059555226,0.000012707709,0.0002520373,0.0000021996602,0.000010550793,0.00092714484,0.9653093,0.006734058,0.025844894,0.00019620174],"about_ca_topic_score_codex":0.00001795723,"about_ca_topic_score_gemma":0.000015267966,"teacher_disagreement_score":0.5134345,"about_ca_system_score_codex":0.000029801606,"about_ca_system_score_gemma":0.000054646232,"threshold_uncertainty_score":0.72779006},"labels":[],"label_agreement":null},{"id":"W2096349828","doi":"10.1093/bioinformatics/bth033","title":"GelScape: a web-based server for interactively annotating, manipulating, comparing and archiving 1D and 2D gel images","year":2004,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Annotation; Java applet; Java; Software; Automatic image annotation; Image warping; Web server; Image retrieval; Image (mathematics); Web page; World Wide Web; Database; The Internet; Operating system; Artificial intelligence","score_opus":0.022021752804720185,"score_gpt":0.28336869555760646,"score_spread":0.2613469427528863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096349828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75645,0.000033892524,0.24041626,0.00009255258,0.000008306825,0.00026686088,0.000050208448,0.00015286892,0.0025290383],"genre_scores_gemma":[0.5853851,0.000012750437,0.41436958,0.00006500636,0.000018845147,0.00007584312,0.000028226486,0.000013989195,0.00003066579],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929935,0.0000021599003,0.00030297306,0.00013016243,0.00007383777,0.00019152292],"domain_scores_gemma":[0.9994218,0.000088485576,0.00021713265,0.00016749132,0.00003903349,0.00006606923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000075009295,0.00014848309,0.00015881225,0.000042526273,0.00018331794,0.00009496799,0.000098906865,0.000050877297,0.000005346615],"category_scores_gemma":[0.00004867464,0.00014752122,0.00003553585,0.00004219308,0.00006018284,0.0002370181,0.00009285861,0.00013881137,0.0000014308293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049530336,0.0007969223,0.10986986,0.017771415,0.0003781859,0.000009268321,0.014281399,0.012579598,0.55189276,0.057310767,0.001317685,0.23329686],"study_design_scores_gemma":[0.003903452,0.000108652435,0.003656544,0.0010435566,0.000078697914,0.000047552585,0.0013781204,0.6014606,0.3686568,0.015092132,0.0036594183,0.00091448263],"about_ca_topic_score_codex":0.000015195786,"about_ca_topic_score_gemma":0.000008296045,"teacher_disagreement_score":0.588881,"about_ca_system_score_codex":0.000042060576,"about_ca_system_score_gemma":0.000029269055,"threshold_uncertainty_score":0.60157406},"labels":[],"label_agreement":null},{"id":"W2096487513","doi":"10.1093/rheumatology/keh694","title":"Rheumatology: a close encounter with proteomics","year":2005,"lang":"en","type":"review","venue":"Lara D. Veeken","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Vlaamse regering; Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Proteome; Medicine; Rheumatology; Biomedicine; Internal medicine; Function (biology); Bioinformatics; Computational biology; Biology; Cell biology; Biochemistry","score_opus":0.02015940292915326,"score_gpt":0.3150968255841853,"score_spread":0.29493742265503203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096487513","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000032649423,0.98486674,0.0040975465,0.00005557635,0.00001859177,0.0010758642,0.00023675381,0.00041160194,0.009204704],"genre_scores_gemma":[0.0000047059084,0.9158524,0.07842674,0.00003653474,0.0001521044,0.0029567324,0.00029591355,0.00013796521,0.0021368659],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822026,0.000017533406,0.00055967213,0.0006412835,0.00016121328,0.00040005142],"domain_scores_gemma":[0.9982132,0.000060953367,0.00050190405,0.0010672474,0.000054864387,0.00010188861],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008413645,0.0005253296,0.0012606351,0.000067977315,0.000110260204,0.000052422,0.0006424954,0.00062038895,0.0003262701],"category_scores_gemma":[0.000015795817,0.00041076774,0.00027419813,0.0001699555,0.00010838538,0.00008372387,0.00015201228,0.0008468169,0.00017912635],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001909854,0.00014235188,0.000015449306,0.011137629,0.00019911074,0.000022792681,0.000041619085,0.0000010372021,0.00002784787,0.004715987,0.0012728937,0.9824042],"study_design_scores_gemma":[0.0001583461,0.000016295533,3.1263596e-8,0.0052300273,0.00021619884,0.00030358913,0.0000045269094,0.0000057913685,0.00013169431,0.0006093914,0.9928203,0.0005037599],"about_ca_topic_score_codex":0.000013358936,"about_ca_topic_score_gemma":0.0000102624645,"teacher_disagreement_score":0.99154747,"about_ca_system_score_codex":0.00018289717,"about_ca_system_score_gemma":0.00021861854,"threshold_uncertainty_score":0.9998344},"labels":[],"label_agreement":null},{"id":"W2096721473","doi":"10.1186/gb-2004-6-1-r9","title":"Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry","year":2004,"lang":"en","type":"article","venue":"Genome biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":295,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Canadian Institute for Theoretical Astrophysics","keywords":"Biology; Human genetics; Computational biology; Genome; Genome Biology; Mass spectrometry; Human genome; Computational genomics; Proteomics; Throughput; Genomics; Genetics; Evolutionary biology; Gene; Chromatography; Computer science; Chemistry","score_opus":0.010067569724446624,"score_gpt":0.2603390312914188,"score_spread":0.25027146156697216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096721473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7818072,0.00025932203,0.21380375,0.0009662974,0.000007155507,0.00018410297,0.00013929345,0.00008867856,0.0027442344],"genre_scores_gemma":[0.93943673,0.00008658591,0.05949625,0.000078931014,0.0000844228,0.00011939804,0.00033317215,0.000015984158,0.0003485385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992343,0.000012284136,0.00021352728,0.00027215158,0.000057245536,0.00021047848],"domain_scores_gemma":[0.9993251,0.000023694876,0.00019895381,0.0003674896,0.000053756994,0.000030990464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082340746,0.00014172868,0.00018442573,0.000034429544,0.0001398321,0.000009575274,0.0003296498,0.0001129362,0.00016560555],"category_scores_gemma":[0.0000061406668,0.000092235554,0.000039793056,0.00016207257,0.0002905926,0.000037531103,0.000040520055,0.00017834238,0.000007780341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008634552,0.00002151939,0.00009075112,0.000008931457,0.000022053146,5.3412367e-7,0.000072014154,0.000050711566,0.9648833,0.03475573,0.000009810056,0.000076012395],"study_design_scores_gemma":[0.00034162856,0.00020790011,0.000389581,0.000009118418,0.000020515354,0.000010416015,0.00024754502,0.0000017205421,0.90429145,0.08722555,0.0070507145,0.00020389252],"about_ca_topic_score_codex":0.00018404739,"about_ca_topic_score_gemma":0.000023414628,"teacher_disagreement_score":0.15762955,"about_ca_system_score_codex":0.00012613833,"about_ca_system_score_gemma":0.000036381545,"threshold_uncertainty_score":0.37612566},"labels":[],"label_agreement":null},{"id":"W2097042617","doi":"10.1002/pmic.201100126","title":"Retracted: Isocratic Method for Affinity Enrichment of Covalently‐linked Peptides in Cyanogen Bromide Cleavage of Proteins","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Cyanogen bromide; Covalent bond; Cleavage (geology); Bromide; Chemistry; Proteomics; Posttranslational modification; Affinity chromatography; Combinatorial chemistry; Peptide; Stereochemistry; Biochemistry; Peptide sequence; Organic chemistry; Biology; Enzyme","score_opus":0.040742707184824374,"score_gpt":0.3059450005514194,"score_spread":0.265202293366595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097042617","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5608336,0.000045391276,0.43264055,0.000045795943,0.000013342884,0.00268988,0.000214053,0.00007988489,0.0034375081],"genre_scores_gemma":[0.41175517,0.00004445167,0.5866791,0.000011558523,0.00001989404,0.0013401018,0.00002053853,0.000027605327,0.00010155174],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842155,0.000031225703,0.000778093,0.0003425549,0.00015355951,0.000272993],"domain_scores_gemma":[0.99849415,0.000116691575,0.00061897794,0.00056185975,0.00014622875,0.00006206724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005041498,0.00020461246,0.0004340131,0.00008865972,0.000049835275,0.0000061804903,0.0003802259,0.00025246112,0.000060887927],"category_scores_gemma":[0.00021308144,0.00021182498,0.00014722014,0.00018630586,0.000088571105,0.00009465739,0.000103876395,0.0003102109,0.0000018407721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024639463,0.0004364543,0.0023725585,0.000663331,0.000032044667,6.880238e-7,0.0005243418,0.000016034934,0.9901942,0.0040661423,0.000031632895,0.0014161844],"study_design_scores_gemma":[0.00064552506,0.00010961245,0.00049944565,0.0001276941,0.00002860095,0.0000022550046,0.00011523071,0.0006988373,0.96047366,0.036982633,0.00011754832,0.00019894124],"about_ca_topic_score_codex":0.0001856461,"about_ca_topic_score_gemma":0.000029929131,"teacher_disagreement_score":0.15403855,"about_ca_system_score_codex":0.00010041646,"about_ca_system_score_gemma":0.00009278138,"threshold_uncertainty_score":0.8637972},"labels":[],"label_agreement":null},{"id":"W2097126443","doi":"10.1109/titb.2010.2040287","title":"Charge State Determination of Peptide Tandem Mass Spectra Using Support Vector Machine (SVM)","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Toronto Metropolitan University; University of Saskatchewan","funders":"Université Laval","keywords":"Support vector machine; Mass spectrum; Classifier (UML); Artificial intelligence; Spectral line; Tandem; Quadrupole ion trap; Pattern recognition (psychology); Ion; Mass spectrometry; Low resolution; Linear discriminant analysis; Computer science; Tandem mass spectrometry; Quadrupole; Chemistry; Resolution (logic); Analytical Chemistry (journal); Ion trap; Physics; High resolution; Atomic physics; Chromatography; Materials science; Remote sensing","score_opus":0.0077255928553016376,"score_gpt":0.2657943759634922,"score_spread":0.2580687831081906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097126443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16688746,0.000004220438,0.8308972,0.0006843283,0.000119698125,0.00026140822,0.00016141484,0.00027819202,0.000706036],"genre_scores_gemma":[0.9265968,0.00007023893,0.07295795,0.000051148723,0.000016855538,0.00012910401,0.000051509604,0.000015042491,0.00011132484],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876374,0.0000040283053,0.0006764329,0.00015208361,0.00017940505,0.00022433011],"domain_scores_gemma":[0.9990956,0.000030839547,0.00033105773,0.0003867908,0.000107734435,0.000047939633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015940516,0.00017175335,0.00023313024,0.0009382904,0.000096406824,0.000008104815,0.00023019781,0.00029708442,0.00055450754],"category_scores_gemma":[0.000013830995,0.00017027187,0.000048736732,0.0007215536,0.00024166545,0.00035101635,0.00000257484,0.0006650075,0.000021523996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028234079,0.000090228175,0.00020230982,0.00006793215,0.000010108918,0.0000016842703,0.00013932839,0.00005976718,0.9666856,0.00068413,0.0000123633,0.0320183],"study_design_scores_gemma":[0.00076007424,0.00009094066,0.000024947825,0.000051663366,0.000017028873,0.000041661704,0.000090505826,0.009834018,0.9843088,0.003203143,0.0014199457,0.00015731408],"about_ca_topic_score_codex":0.000032222302,"about_ca_topic_score_gemma":0.00002129574,"teacher_disagreement_score":0.75970936,"about_ca_system_score_codex":0.00011077319,"about_ca_system_score_gemma":0.000051691903,"threshold_uncertainty_score":0.6943486},"labels":[],"label_agreement":null},{"id":"W2097275194","doi":"10.1074/mcp.m114.046516","title":"Serial Analysis of 38 Proteins during the Progression of Human Breast Tumor in Mice Using an Antibody Colocalization Microarray*","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Occupational Cancer Research Centre; McGill University and Génome Québec Innovation Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Concordia University","keywords":"Antibody; Colocalization; Receiver operating characteristic; Biomarker; Breast cancer; Mammary tumor; Chemistry; Protein microarray; Molecular biology; Microarray; Biology; Cancer; Pathology; Immunology; Medicine; Internal medicine; Biochemistry; Gene expression; Gene","score_opus":0.013737079283936967,"score_gpt":0.29907417161037536,"score_spread":0.2853370923264384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097275194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8777342,0.00005426684,0.12101329,0.00001644232,0.000007989264,0.0010094419,0.00005936886,0.0000401828,0.00006485017],"genre_scores_gemma":[0.945091,0.0000025414936,0.054425873,0.0000055976475,0.000029441611,0.00016696853,0.00022357333,0.000044470115,0.000010499424],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983859,0.00008739436,0.0006184905,0.00038124595,0.00027901717,0.0002479667],"domain_scores_gemma":[0.998465,0.0000058583455,0.0005886481,0.0006275394,0.00022912015,0.00008381326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035148935,0.00021151196,0.00039079392,0.00019031571,0.00010779385,0.000028477889,0.00041440342,0.00014855657,0.000017400644],"category_scores_gemma":[0.000025895564,0.00019271184,0.00013860254,0.00083955796,0.00015619257,0.000109680754,0.00014818583,0.00021262464,3.069867e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009649141,0.0002858426,0.0027985424,0.00012672761,0.00007017987,0.000010104532,0.0002552649,0.008571246,0.987411,0.00033426486,1.8268729e-7,0.000040143863],"study_design_scores_gemma":[0.0005292779,0.00004792528,0.0001091799,0.00009642602,0.00016084441,0.000009727922,0.00016098631,0.020356704,0.97795856,0.00036192377,0.000011106225,0.00019735582],"about_ca_topic_score_codex":0.00028011666,"about_ca_topic_score_gemma":0.000027002774,"teacher_disagreement_score":0.06735686,"about_ca_system_score_codex":0.00011571931,"about_ca_system_score_gemma":0.0001041746,"threshold_uncertainty_score":0.78585607},"labels":[],"label_agreement":null},{"id":"W2097362404","doi":"10.1186/1559-0275-11-13","title":"Deciphering the ovarian cancer ascites fluid peptidome","year":2014,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto; University Health Network","funders":"","keywords":"Ovarian cancer; Ascites; Proteome; Cancer biomarkers; Haptoglobin; Cancer; Proteomics; Albumin; Biology; Chemistry; Bioinformatics; Cancer research; Medicine; Internal medicine; Biochemistry","score_opus":0.03773292130152734,"score_gpt":0.3609040641985239,"score_spread":0.32317114289699655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097362404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5560855,0.00014043479,0.42148405,0.004510799,0.00019074274,0.00075941836,0.000035068686,0.0005061381,0.016287843],"genre_scores_gemma":[0.756602,0.0004405401,0.23679052,0.0012765338,0.0017061272,0.0012923649,0.000014453964,0.00007713937,0.0018003538],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985186,0.00003800914,0.00059367117,0.0004143912,0.00013579427,0.0002995432],"domain_scores_gemma":[0.9982807,0.00045550105,0.0002218333,0.00084012264,0.00007555602,0.00012626447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006552379,0.00018046217,0.00025752652,0.000012246185,0.00027210452,0.000062604995,0.00062825764,0.00021752522,0.00037838615],"category_scores_gemma":[0.0005326669,0.00013285867,0.0001808087,0.00011128274,0.00024333571,0.00007237507,0.00021058008,0.00059654226,0.00006320636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032153307,0.00058460445,0.044402126,0.00023953781,0.00023097487,0.0000039219035,0.00023542851,0.001584067,0.6003583,0.11189431,0.006504639,0.23364054],"study_design_scores_gemma":[0.0019908082,0.00012237937,0.0024470368,0.00024843798,0.00011635522,0.000014644619,0.00007699725,0.03147176,0.31093436,0.17822064,0.4731866,0.0011699537],"about_ca_topic_score_codex":0.000035105484,"about_ca_topic_score_gemma":0.000012646418,"teacher_disagreement_score":0.46668196,"about_ca_system_score_codex":0.000050364095,"about_ca_system_score_gemma":0.000052508025,"threshold_uncertainty_score":0.5417819},"labels":[],"label_agreement":null},{"id":"W2097792955","doi":"10.1074/mcp.o111.008425","title":"Improved Recovery and Identification of Membrane Proteins from Rat Hepatic Cells using a Centrifugal Proteomic Reactor","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Membrane protein; Proteome; Chemistry; Proteomics; Biochemistry; Integral membrane protein; Transmembrane protein; Peripheral membrane protein; Differential centrifugation; Secretory protein; Membrane; Chromatography; Secretion; Receptor","score_opus":0.01231826460613446,"score_gpt":0.2179567037831732,"score_spread":0.20563843917703872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097792955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6898465,0.00012471831,0.30788526,0.00001244444,0.000036701455,0.001782387,0.000115288014,0.00009636773,0.00010030356],"genre_scores_gemma":[0.68482983,0.00007164257,0.31428236,0.000016179902,0.0000415527,0.00051326124,0.00008887365,0.00008526314,0.00007107178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99768406,0.0000602909,0.0008816513,0.00073975616,0.00023611779,0.0003981426],"domain_scores_gemma":[0.9978318,0.000021192092,0.00082287734,0.0010169274,0.00015427094,0.00015289306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024780366,0.00038704005,0.00045057334,0.00010500729,0.000121078076,0.0000566431,0.00041318464,0.0003333904,0.00010420202],"category_scores_gemma":[0.00006562931,0.0004252804,0.00017536899,0.00019409254,0.00016972642,0.00021137524,0.00019142835,0.00037936628,0.0000059337576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015056574,0.00017554661,0.00011667929,0.00022741724,0.00006031508,0.000011549804,0.00019647994,0.000020459267,0.9984742,0.00019779716,0.0000010514699,0.00036797227],"study_design_scores_gemma":[0.00058229454,0.000052505457,0.000007847872,0.000111022906,0.000119927565,0.000007005418,0.000038479455,0.006902504,0.98696786,0.0047463677,0.00003498057,0.0004291737],"about_ca_topic_score_codex":0.0006213707,"about_ca_topic_score_gemma":0.0000045996476,"teacher_disagreement_score":0.011506275,"about_ca_system_score_codex":0.0001413177,"about_ca_system_score_gemma":0.00012438867,"threshold_uncertainty_score":0.9998199},"labels":[],"label_agreement":null},{"id":"W2097899986","doi":"10.1016/j.jchromb.2003.09.005","title":"Optimization of reversed-phase microcapillary liquid chromatography for quantitative proteomics","year":2003,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute of Environmental Health Sciences; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Chromatography; Reversed-phase chromatography; Proteomics; Phase (matter); Hydrophilic interaction chromatography; High-performance liquid chromatography; Biochemistry; Organic chemistry","score_opus":0.01574225313555324,"score_gpt":0.30126488187269007,"score_spread":0.28552262873713685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097899986","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3743756,0.001006197,0.6229859,0.000057145546,0.000047486155,0.00043536807,0.000094480376,0.00004194999,0.00095583574],"genre_scores_gemma":[0.25122964,0.0008523974,0.7476898,0.000034592675,0.00004309658,0.00007945279,0.000019135,0.000043137148,0.000008770098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998418,0.000027431235,0.00091801514,0.00019168782,0.00021736299,0.00022754516],"domain_scores_gemma":[0.99734193,0.00011013406,0.0014617174,0.00029312848,0.0006780455,0.000115025454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031516986,0.0002154537,0.00045842415,0.00035171647,0.00011495804,0.000020995783,0.00027065596,0.00016430541,0.000079100784],"category_scores_gemma":[0.00011947947,0.0002055497,0.00052263454,0.00058706524,0.0001618909,0.00023416585,0.000016772748,0.00020460213,3.8024746e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005727275,0.000587694,0.00029323745,0.00039377678,0.00025171688,0.0000045014453,0.00016004579,0.0013195352,0.9819043,0.013425056,0.0009959593,0.000091437],"study_design_scores_gemma":[0.0021388328,0.00077900285,0.000003849704,0.00026635613,0.00011529955,0.00012140705,0.00029070344,0.00037378888,0.9846006,0.0040684734,0.0069991746,0.00024247912],"about_ca_topic_score_codex":0.0000016136217,"about_ca_topic_score_gemma":3.419954e-7,"teacher_disagreement_score":0.12470386,"about_ca_system_score_codex":0.000029088354,"about_ca_system_score_gemma":0.00012809725,"threshold_uncertainty_score":0.83820736},"labels":[],"label_agreement":null},{"id":"W2097912708","doi":"10.1586/14789450.5.2.149","title":"Multidimensional advancement of neuroproteomics","year":2008,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Proteome; Proteomics; Human proteome project; Medicine; Computational biology; Computer science; Chemistry; Bioinformatics; Biology; Biochemistry","score_opus":0.020788025080424963,"score_gpt":0.3155083975497894,"score_spread":0.2947203724693644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097912708","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15301387,0.10769847,0.7249944,0.0021806052,0.00015194737,0.004445499,0.00021320894,0.0003213466,0.0069806045],"genre_scores_gemma":[0.005469953,0.20791607,0.78532624,0.00034460018,0.0000688521,0.0005529656,0.000034985973,0.000034413428,0.00025190346],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842453,0.000016557738,0.0007956491,0.0002979961,0.000271513,0.00019377643],"domain_scores_gemma":[0.9984177,0.000037477083,0.0005703228,0.00067451363,0.0002277141,0.00007230555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013193798,0.00020642306,0.00049860886,0.000034456705,0.00007731656,0.0000011796021,0.00029871555,0.00007670229,0.00037690214],"category_scores_gemma":[0.00012016013,0.00018946956,0.00019768735,0.00014851066,0.0001822137,0.00008003335,0.00013855255,0.00016919563,0.000008301876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000339661,0.0001732061,0.0000696344,0.0022258768,0.000015147082,0.000002593048,0.000052085892,0.000013121055,0.9910424,0.0036658894,0.0004566107,0.0022495054],"study_design_scores_gemma":[0.00025996973,0.000049200036,0.000008708951,0.0024643575,0.000009026517,0.000030707903,0.000008289363,0.00011285205,0.9547668,0.00025572893,0.041845776,0.00018859304],"about_ca_topic_score_codex":0.000015013092,"about_ca_topic_score_gemma":2.2232645e-7,"teacher_disagreement_score":0.14754392,"about_ca_system_score_codex":0.0000502016,"about_ca_system_score_gemma":0.00009444029,"threshold_uncertainty_score":0.77263445},"labels":[],"label_agreement":null},{"id":"W2099146841","doi":"10.1109/tnb.2015.2419194","title":"A Framework of De Novo Peptide Sequencing for Multiple Tandem Mass Spectra","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electron-transfer dissociation; Tandem mass spectrometry; Fragmentation (computing); Tandem; Chemistry; Mass spectrometry; Spectral line; Mass spectrum; Dissociation (chemistry); Peptide; Computer science; Physics; Chromatography; Materials science; Physical chemistry; Biochemistry","score_opus":0.03941688970829456,"score_gpt":0.3020163390864356,"score_spread":0.26259944937814106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099146841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092404395,0.000010333703,0.90634245,0.000116022835,0.000059741564,0.00020578345,0.0000979991,0.00012390417,0.0006393612],"genre_scores_gemma":[0.6394261,0.000012914805,0.3600358,0.000045838133,0.000020454356,0.00016179318,7.5951516e-7,0.000011733206,0.00028460877],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990507,0.000006062584,0.00021833212,0.0002894467,0.00016140677,0.0002740924],"domain_scores_gemma":[0.99916005,0.00016979118,0.00010126584,0.00034132955,0.00010016235,0.0001273707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017792125,0.00012136118,0.00013885534,0.000056190907,0.00016538663,0.000018666176,0.00029945292,0.00011676414,0.000028623712],"category_scores_gemma":[0.00004974354,0.000123048,0.00009199538,0.00028350356,0.00014642748,0.000110395784,0.0000012896171,0.00018747605,0.000003944373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024598718,0.000060839095,0.00006833307,0.000021597212,0.00000434124,7.2389923e-7,0.00018787211,0.0042630574,0.99376535,0.00081608444,0.000017655715,0.0007695199],"study_design_scores_gemma":[0.00025124245,0.000056186407,0.0000022711715,0.00006983152,0.000011812639,0.000011421452,0.00021485437,0.005802397,0.9809472,0.011864223,0.00062866264,0.00013991463],"about_ca_topic_score_codex":0.000029313438,"about_ca_topic_score_gemma":0.000013870005,"teacher_disagreement_score":0.5470217,"about_ca_system_score_codex":0.00028395955,"about_ca_system_score_gemma":0.00022422745,"threshold_uncertainty_score":0.50177515},"labels":[],"label_agreement":null},{"id":"W2099415899","doi":"10.1074/mcp.m110.000687","title":"Highly Reproducible Label Free Quantitative Proteomic Analysis of RNA Polymerase Complexes","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences","keywords":"Quantitative proteomics; Transcription factor II F; Proteomics; Computational biology; Peptide; Biology; RNA; Molecular biology; Chemistry; RNA polymerase; Biochemistry; Gene","score_opus":0.014229166163386969,"score_gpt":0.27643521374222113,"score_spread":0.26220604757883414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099415899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8415831,0.00016448829,0.15489364,0.00030952808,0.000033626322,0.0008745983,0.0003244332,0.00020380698,0.0016128396],"genre_scores_gemma":[0.61137295,0.000017395436,0.3874924,0.000049112146,0.000036479596,0.00048400214,0.00022967382,0.000070143644,0.0002478339],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99730605,0.00004353599,0.0007809359,0.0010119182,0.0003848844,0.00047267418],"domain_scores_gemma":[0.9959553,0.000048544716,0.0006312786,0.0029150434,0.00027857025,0.00017127798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039837827,0.00041016028,0.00069161446,0.00034232618,0.00019294761,0.00005657982,0.0010334054,0.00030524092,0.00029224873],"category_scores_gemma":[0.00026369255,0.00043896667,0.0003829438,0.00110823,0.0003233743,0.00012627961,0.0003498839,0.00074602076,0.000014935492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006826515,0.00027208155,0.00032542687,0.00008262041,0.0004878312,0.000015906102,0.00009887443,0.00023220653,0.96344024,0.034662202,0.000034790643,0.00027955172],"study_design_scores_gemma":[0.00058125955,0.000054092896,0.000026054367,0.00002416767,0.0005451546,0.0000039253837,0.00003481268,0.00485364,0.98251456,0.010651279,0.00024723925,0.00046380778],"about_ca_topic_score_codex":0.00033442618,"about_ca_topic_score_gemma":0.00003874725,"teacher_disagreement_score":0.23259877,"about_ca_system_score_codex":0.000056517936,"about_ca_system_score_gemma":0.00011560855,"threshold_uncertainty_score":0.9998062},"labels":[],"label_agreement":null},{"id":"W2099424814","doi":"10.1039/c0mb00159g","title":"Targeted proteomics by selected reaction monitoring mass spectrometry: applications to systems biology and biomarker discovery","year":2010,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Proteomics; Proteome; Biomarker discovery; Mass spectrometry; Computational biology; Biomarker; Quantitative proteomics; Profiling (computer programming); Posttranslational modification; Selected reaction monitoring; Chemistry; Biology; Nanotechnology; Bioinformatics; Computer science; Tandem mass spectrometry; Chromatography; Biochemistry; Materials science","score_opus":0.014657579021806429,"score_gpt":0.3126181750545183,"score_spread":0.29796059603271186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099424814","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004522997,0.7771448,0.21678212,0.000019538566,0.00015390075,0.003749061,0.0010294496,0.00038635137,0.00028245954],"genre_scores_gemma":[0.0023811527,0.9482379,0.029391572,0.0000060508364,0.0004978452,0.016406508,0.0022209473,0.00029430623,0.0005637399],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972339,0.00008229187,0.00087821024,0.0011087637,0.00018898204,0.0005078399],"domain_scores_gemma":[0.9977473,0.00006530367,0.0006978059,0.0011133553,0.00014527736,0.00023098187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020302268,0.0006704414,0.0012754592,0.00029486438,0.0001981249,0.00023122047,0.0005096029,0.0011055089,0.00000390362],"category_scores_gemma":[0.0000527127,0.0006347646,0.00020586642,0.00102521,0.00006362948,0.00008797083,0.00014382502,0.0008038608,0.00002296585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003614352,0.000032976444,0.000010635607,0.00440046,0.00012578997,0.0000020294265,0.0000029713406,1.7797991e-7,0.97491986,0.0006102742,0.00005872529,0.019832507],"study_design_scores_gemma":[0.00009960912,0.000022830905,2.2629641e-7,0.002037507,0.00022579911,0.00007475375,0.000014336044,0.000015104839,0.1248694,0.00008171398,0.87185776,0.0007009391],"about_ca_topic_score_codex":0.00008806605,"about_ca_topic_score_gemma":9.755578e-7,"teacher_disagreement_score":0.87179905,"about_ca_system_score_codex":0.00034625593,"about_ca_system_score_gemma":0.000119508644,"threshold_uncertainty_score":0.99961036},"labels":[],"label_agreement":null},{"id":"W2100284033","doi":"10.1186/1471-2105-15-344","title":"CIG-P: Circular Interaction Graph for Proteomics","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity Western University; Western University","funders":"Trinity Western University","keywords":"Visualization; Proteomics; Computer science; AKA; Computational biology; Graph; Data mining; Biology; Biochemistry; Theoretical computer science","score_opus":0.01974616961840828,"score_gpt":0.2766336423122025,"score_spread":0.2568874726937942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100284033","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081981,0.0000063967054,0.9811743,0.000053178435,0.000036844747,0.0004296668,0.00003419243,0.00023544782,0.009831866],"genre_scores_gemma":[0.027466143,0.000015902144,0.9712891,0.00012731638,0.00011432486,0.0006248073,0.00012819697,0.000024287414,0.00020991685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992605,0.0000030542249,0.00034695558,0.00011205916,0.000088090004,0.00018935687],"domain_scores_gemma":[0.9992002,0.000068692185,0.00020840109,0.00038870948,0.00007551558,0.000058439688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012973804,0.00012890965,0.00013239679,0.0000455759,0.00013156715,0.00004660805,0.00018962167,0.00011809414,0.00003463994],"category_scores_gemma":[0.00009010274,0.00012574109,0.000108375534,0.00007645681,0.000034266453,0.00019739494,0.000040229297,0.00012838624,0.000026684656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044098627,0.00076969725,0.0044984543,0.012775926,0.00024041372,5.0352946e-7,0.002461912,0.012219162,0.32876644,0.439684,0.014395494,0.183747],"study_design_scores_gemma":[0.00065985596,0.000046372,0.000017218386,0.0000804951,0.00003351937,0.000014600745,0.0002757591,0.62441677,0.20331414,0.04668906,0.12404754,0.0004046815],"about_ca_topic_score_codex":0.0000026489074,"about_ca_topic_score_gemma":0.0000018410941,"teacher_disagreement_score":0.6121976,"about_ca_system_score_codex":0.000046799993,"about_ca_system_score_gemma":0.000022336231,"threshold_uncertainty_score":0.5127573},"labels":[],"label_agreement":null},{"id":"W2101175892","doi":"10.1074/mcp.m115.052480","title":"Molecular Consequences of Proprotein Convertase 1/3 (PC1/3) Inhibition in Macrophages for Application to Cancer Immunotherapy: A Proteomic Study","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Aptose Biosciences (Canada); Université de Sherbrooke","funders":"Institut National Du Cancer; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Proprotein convertase; Proprotein Convertases; Cancer immunotherapy; Immunotherapy; Cancer; Cancer research; PCSK9; Medicine; Computational biology; Chemistry; Biology; Internal medicine; Cholesterol","score_opus":0.013673578295713642,"score_gpt":0.2894643191872319,"score_spread":0.2757907408915183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101175892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6550174,0.0002562403,0.3363614,0.00029107227,0.000013289351,0.007810979,0.00008518976,0.00012134711,0.0000430698],"genre_scores_gemma":[0.883774,0.00001495273,0.08764177,0.00011889385,0.000029523997,0.0281727,0.00008043837,0.00012854487,0.000039195573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99757314,0.00007534266,0.0007831821,0.0007678009,0.0003636437,0.00043690728],"domain_scores_gemma":[0.9981921,0.000017177303,0.00042783693,0.0008315203,0.0003571923,0.00017419356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000519617,0.00038713982,0.0004958547,0.00018579987,0.00006656414,0.000047027832,0.00036574528,0.00021900296,0.000013189723],"category_scores_gemma":[0.00008562835,0.00041684156,0.00013909407,0.00037669094,0.00015120419,0.000105894025,0.00012457429,0.00028004852,0.000005191827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038401695,0.0004917722,0.00055886776,0.00017313041,0.000045333723,0.00002995842,0.0004934596,0.0027529637,0.9925987,0.0011072217,0.000008209553,0.0013563605],"study_design_scores_gemma":[0.0021108028,0.00029034377,0.0000088738525,0.00011405904,0.000034517456,0.000005862531,0.00026397794,0.0012432664,0.98561805,0.009611547,0.00025178524,0.00044690698],"about_ca_topic_score_codex":0.00081753614,"about_ca_topic_score_gemma":0.0000372233,"teacher_disagreement_score":0.24871963,"about_ca_system_score_codex":0.00033069408,"about_ca_system_score_gemma":0.00030900657,"threshold_uncertainty_score":0.99982834},"labels":[],"label_agreement":null},{"id":"W2101431106","doi":"10.1200/jco.2008.19.4233","title":"Connective Tissue-Activating Peptide III: A Novel Blood Biomarker for Early Lung Cancer Detection","year":2009,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; BC Cancer Agency","funders":"National Heart, Lung, and Blood Institute; BC Cancer Agency; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Vancouver Coastal Health Research Institute","keywords":"Medicine; Lung cancer; Biomarker; Connective tissue; Cancer; Pathology; Lung; Internal medicine; Cancer research; Oncology; Biology; Biochemistry","score_opus":0.08709562873869169,"score_gpt":0.4787482458669456,"score_spread":0.3916526171282539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101431106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7457919,0.0001436197,0.24990927,0.0014688506,0.00015441526,0.00022066038,0.000013993151,0.00003242564,0.0022648696],"genre_scores_gemma":[0.92048156,0.00013867838,0.07781557,0.00037261238,0.0008690805,0.000062716645,0.0000011714826,0.000015657184,0.0002429471],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99812216,0.000027213753,0.0013308638,0.00019818833,0.000120597666,0.00020099168],"domain_scores_gemma":[0.99611443,0.0012847553,0.001900986,0.00013922554,0.00041916524,0.00014140907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703631,0.00012186818,0.00060679455,0.00004629974,0.00010340329,0.000013438438,0.00018426291,0.0003645476,0.00006973681],"category_scores_gemma":[0.0011638182,0.00010543781,0.0002663945,0.00009389688,0.00006448859,0.0001426772,0.000023023327,0.00061187946,5.1355323e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011777033,0.00075135706,0.001089134,0.0000177132,0.00020936178,0.000008214077,0.000067060035,0.000036462323,0.6487571,0.00039893968,0.00024369267,0.34724328],"study_design_scores_gemma":[0.012105444,0.0049595824,0.014601727,0.00025660306,0.000577954,0.00021072834,0.00014963828,0.0025388086,0.8631599,0.012223523,0.08873028,0.000485819],"about_ca_topic_score_codex":0.00003456953,"about_ca_topic_score_gemma":0.000018871478,"teacher_disagreement_score":0.34675744,"about_ca_system_score_codex":0.00014309143,"about_ca_system_score_gemma":0.00028161446,"threshold_uncertainty_score":0.4299629},"labels":[],"label_agreement":null},{"id":"W2101570694","doi":"10.1021/pr070087o","title":"Verification of Endometrial Tissue Biomarkers Previously Discovered Using Mass Spectrometry-Based Proteomics by Means of Immunohistochemistry in a Tissue Microarray Format","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Mount Sinai Hospital","funders":"","keywords":"Tissue microarray; Immunohistochemistry; Proteomics; Biomarker; Proteome; Biomarker discovery; Endometrial cancer; Computational biology; Cancer biomarkers; Mass spectrometry; Carcinogenesis; Biology; Cancer; Pathology; Bioinformatics; Chemistry; Internal medicine; Medicine; Biochemistry; Chromatography","score_opus":0.03579959035478959,"score_gpt":0.3839644424849387,"score_spread":0.34816485213014914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101570694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62740797,0.00066691835,0.3701967,0.00007612072,0.000018400011,0.0011233211,0.0000928804,0.000009268245,0.00040844566],"genre_scores_gemma":[0.6304124,0.00012223083,0.36919826,0.0000013507905,0.00007552036,0.000061049606,0.000021156102,0.000035096546,0.000072947514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99648374,0.00008714664,0.0016055022,0.00027778553,0.0009700608,0.00057577254],"domain_scores_gemma":[0.99690086,0.00028203422,0.001391066,0.0005699653,0.0007024471,0.00015360623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004099209,0.0002150156,0.0005740734,0.00088248716,0.00009444441,0.00003390718,0.0007707054,0.000279158,0.00012985479],"category_scores_gemma":[0.00076904113,0.00021015994,0.00015618301,0.001546368,0.00033008493,0.00024316851,0.000079696256,0.000934929,0.0000012917184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013605086,0.00030894965,0.00031952249,0.00069042295,0.000048179085,0.000008601214,0.00009853926,0.000053854474,0.99617606,0.00002297745,0.000055998258,0.0008563597],"study_design_scores_gemma":[0.0018016967,0.000266972,0.0000191112,0.00048272283,0.000018496925,0.000033779506,0.00021480914,0.00018955176,0.99567735,0.00070618954,0.00041483872,0.0001744888],"about_ca_topic_score_codex":0.00011919587,"about_ca_topic_score_gemma":0.000002046297,"teacher_disagreement_score":0.0033301678,"about_ca_system_score_codex":0.0010064257,"about_ca_system_score_gemma":0.0005154148,"threshold_uncertainty_score":0.8570074},"labels":[],"label_agreement":null},{"id":"W2101629470","doi":"10.1038/nprot.2006.288","title":"Silver staining of proteins in polyacrylamide gels","year":2006,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":572,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Silver stain; Staining; Polyacrylamide; Stain; Electrophoresis; Chromatography; Polyacrylamide gel electrophoresis; Mass spectrometry; Chemistry; Fixation (population genetics); Molecular biology; Biology; Biochemistry","score_opus":0.008249985199709202,"score_gpt":0.3112988602053018,"score_spread":0.3030488750055926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101629470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47421542,0.0004203763,0.030949803,0.0010950923,0.000023968028,0.30269745,0.00027871208,0.001120115,0.18919906],"genre_scores_gemma":[0.7030859,9.3409415e-7,0.06643692,0.000040389743,0.0000882579,0.2295619,0.000016905731,0.000028240385,0.00074058096],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990365,0.000008175697,0.0003259324,0.00024113439,0.00016839911,0.00021985978],"domain_scores_gemma":[0.99933326,0.00003005133,0.00017953399,0.00036274467,0.000068830544,0.00002556776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112912094,0.00013264298,0.00018360995,0.00006017993,0.00003707028,0.00001359537,0.00024090619,0.00034035376,0.00009781158],"category_scores_gemma":[0.000038239832,0.00012742712,0.00005550874,0.0002097652,0.000044821005,0.00007986314,0.000060841812,0.0006347308,0.0000024910357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056460354,0.00016816599,0.008582104,0.00020712557,0.0000037418724,0.000004236789,0.000026675163,0.00006122721,0.95633334,0.031282667,0.00017811435,0.0030961328],"study_design_scores_gemma":[0.00044466753,0.000018434323,0.0004547237,0.00021252301,0.0000018510989,0.0000020803016,0.0000129019845,0.000063655905,0.93536067,0.03553092,0.02775217,0.00014538202],"about_ca_topic_score_codex":0.00008255258,"about_ca_topic_score_gemma":0.000029692259,"teacher_disagreement_score":0.22887047,"about_ca_system_score_codex":0.000074184085,"about_ca_system_score_gemma":0.00005153304,"threshold_uncertainty_score":0.5196327},"labels":[],"label_agreement":null},{"id":"W2101991263","doi":"10.1038/msb.2011.43","title":"Phosphorylation network rewiring by gene duplication","year":2011,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Research in Immunology and Cancer; Université Laval; Université de Montréal; PROTEO","funders":"Canadian Institutes of Health Research","keywords":"Biology; Gene duplication; Computational biology; Gene regulatory network; Gene; Genetics; Phosphorylation; Evolutionary biology; Gene expression","score_opus":0.013857305212257838,"score_gpt":0.24178507419479853,"score_spread":0.2279277689825407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101991263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1406329,0.002165724,0.84336233,0.000031441414,0.00006405239,0.00024634553,0.000021742211,0.0002505316,0.013224955],"genre_scores_gemma":[0.98106176,0.00006438344,0.017770594,0.00004873774,0.00007932303,0.00045627158,0.00020061866,0.00002501803,0.00029328145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992028,0.000019426523,0.00024125245,0.00028863605,0.00003919848,0.00020871419],"domain_scores_gemma":[0.9993301,0.000009397428,0.0001590263,0.0004103529,0.00004578354,0.00004535866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009563064,0.00011364282,0.00013468428,0.000015261565,0.00007936616,0.000008656735,0.00017083257,0.00018797506,0.00005174427],"category_scores_gemma":[0.000009035281,0.0001168117,0.00004022832,0.00008567763,0.000035725967,0.000025383299,0.0000454016,0.000100516736,0.000028042423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006631196,0.000016218237,0.0013037432,0.000013722788,0.000015329062,9.567941e-7,0.000020106892,0.0000550912,0.9743162,0.022496725,0.000383446,0.001371828],"study_design_scores_gemma":[0.00010889567,0.000017183063,0.000031826057,0.000016503896,0.0000112019925,0.00001314896,0.00000850698,0.0010248142,0.96524155,0.005170187,0.028176604,0.00017956502],"about_ca_topic_score_codex":0.00013431296,"about_ca_topic_score_gemma":7.984489e-7,"teacher_disagreement_score":0.8404289,"about_ca_system_score_codex":0.000046303805,"about_ca_system_score_gemma":0.000009108963,"threshold_uncertainty_score":0.4763443},"labels":[],"label_agreement":null},{"id":"W2102318282","doi":"10.1186/1477-5956-3-5","title":"Enhanced detergent extraction for analysis of membrane proteomes by two-dimensional gel electrophoresis","year":2005,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Heart and Stroke Foundation of Canada","keywords":"Proteome; Chromatography; Proteomics; Extraction (chemistry); Chemistry; Computer science; Biochemistry","score_opus":0.011557577129237644,"score_gpt":0.31558279364817865,"score_spread":0.304025216518941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102318282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8117769,0.0000808952,0.18631762,0.00024722176,0.00001027752,0.00088771683,0.00008656212,0.00009665684,0.0004961888],"genre_scores_gemma":[0.82918173,0.000021008775,0.16844821,0.00003121785,0.00004035161,0.0018106777,0.00002417604,0.000013537853,0.00042909523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982286,0.0000065068216,0.00039143104,0.0005596071,0.00042405183,0.00038977928],"domain_scores_gemma":[0.9988138,0.00005072972,0.00031302698,0.0004339287,0.00027602568,0.000112470865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036255957,0.00016277129,0.00026138793,0.00023156426,0.00027888137,0.000031378844,0.00043992524,0.00006119236,0.00048183426],"category_scores_gemma":[0.00009712409,0.00015304686,0.00014747029,0.0012091025,0.00025997098,0.00027291747,0.00006521362,0.0001250596,0.0000063885655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000382746,0.0000942721,0.000022623208,0.00002490248,0.00004056743,5.2952068e-8,0.000026300944,0.002324489,0.99216515,0.00028317497,0.000024649391,0.004955542],"study_design_scores_gemma":[0.00021175697,0.000034697103,0.000029814008,0.000012198365,0.0000978612,0.0000010613852,0.000006427738,0.019979157,0.9780496,0.00066797924,0.00073186087,0.00017758501],"about_ca_topic_score_codex":0.000022899272,"about_ca_topic_score_gemma":0.0000064921587,"teacher_disagreement_score":0.017869415,"about_ca_system_score_codex":0.00018016565,"about_ca_system_score_gemma":0.0001105212,"threshold_uncertainty_score":0.624107},"labels":[],"label_agreement":null},{"id":"W2102329829","doi":"10.1186/1477-5956-1-5","title":"In silico proteome analysis to facilitate proteomics experiments using mass spectrometry.","year":2003,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Genome Canada","keywords":"Proteome; Computational biology; Proteomics; Computer science; UniProt; In silico; Perl; Bioinformatics; Chemistry; Biology; Biochemistry; Programming language","score_opus":0.048479990635571985,"score_gpt":0.33094607363139356,"score_spread":0.28246608299582154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102329829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6965816,0.000023393595,0.29795408,0.000115736686,0.000021020129,0.0016303946,0.000024944988,0.00010852085,0.0035403054],"genre_scores_gemma":[0.50902814,0.0000037075285,0.48881412,0.00005190183,0.000016517073,0.0014821192,0.0000017762467,0.000019081825,0.0005826452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967234,0.000028956872,0.0005494052,0.0011336026,0.0006463952,0.00091822224],"domain_scores_gemma":[0.9982924,0.000021401214,0.00019446296,0.0010088664,0.00015555405,0.00032730857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008999159,0.00031892987,0.00039712677,0.00094413536,0.00036120202,0.00015076812,0.00090728863,0.00010552722,0.00047109876],"category_scores_gemma":[0.00033760414,0.00032695802,0.00012218452,0.0068147443,0.0003691957,0.00059341535,0.00017493915,0.00034240691,0.00005204945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001396331,0.00007970687,0.002154882,0.000021684216,0.000017464941,0.000004151066,0.0002583421,0.0014612796,0.9947935,0.0011436818,0.0000018789353,0.000049460778],"study_design_scores_gemma":[0.00022216106,0.00003345599,0.00013384396,0.000023175218,0.000021458225,0.000006343804,0.0001305685,0.0020659156,0.9894979,0.0069148466,0.0005356194,0.0004146877],"about_ca_topic_score_codex":0.00012349871,"about_ca_topic_score_gemma":0.0000072294074,"teacher_disagreement_score":0.19086005,"about_ca_system_score_codex":0.00076580176,"about_ca_system_score_gemma":0.00024147576,"threshold_uncertainty_score":0.9999182},"labels":[],"label_agreement":null},{"id":"W2102342618","doi":"10.1373/49.8.1272","title":"Proteomic Patterns in Biological Fluids: Do They Represent the Future of Cancer Diagnostics?","year":2003,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":323,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Prostate cancer; Carcinoembryonic antigen; Cancer biomarkers; Cancer; Biomarker; Breast cancer; Medicine; Computer science; Oncology; Computational biology; Medical physics; Internal medicine; Biology","score_opus":0.03422341561086714,"score_gpt":0.3686822415506473,"score_spread":0.33445882593978016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102342618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942641,0.0010190291,0.0001466193,0.0006588988,0.00004067528,0.00024450186,0.00008098145,0.00005162969,0.003493523],"genre_scores_gemma":[0.9903896,0.006904247,0.0012903333,0.00008934135,0.00039031566,0.0006648725,0.000017843215,0.000019121273,0.00023436802],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99846923,0.000036537698,0.0006973327,0.00044008126,0.0001180514,0.00023878911],"domain_scores_gemma":[0.9984174,0.000408622,0.00023735767,0.0007958535,0.00005865819,0.00008214169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034336804,0.00016891999,0.0002937517,0.0000060864377,0.000050740047,0.00001264889,0.00046015103,0.00036634598,0.0006391495],"category_scores_gemma":[0.0005585426,0.00011314595,0.00016667979,0.00007956421,0.00018496493,0.0000201041,0.00011582271,0.00070104795,0.0000039242386],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035445806,0.00033980707,0.916818,0.00011439413,0.000023935852,0.0000058693454,0.000028183042,0.00001443188,0.07734583,0.0012526253,0.00047504858,0.0035463949],"study_design_scores_gemma":[0.0005552072,0.000015892863,0.0049156286,0.0001595804,0.000018563225,0.0000057213865,0.00017674768,0.000019200015,0.9554535,0.015081464,0.023336897,0.00026155583],"about_ca_topic_score_codex":0.000020647281,"about_ca_topic_score_gemma":0.000005299881,"teacher_disagreement_score":0.9119024,"about_ca_system_score_codex":0.000046076904,"about_ca_system_score_gemma":0.000066581946,"threshold_uncertainty_score":0.6998239},"labels":[],"label_agreement":null},{"id":"W2102723056","doi":"10.2174/157340310791162631","title":"Proteomics and Mass Spectrometry: What Have We Learned About The Heart?","year":2010,"lang":"en","type":"article","venue":"Current Cardiology Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heart and Stroke Foundation; University of Toronto","funders":"Canadian Institutes of Health Research; Centre International de Recherche sur le Cancer","keywords":"Medicine; Proteomics; Disease; Biomarker discovery; Proteome; Bioinformatics; Computational biology; Precision medicine; Intensive care medicine; MEDLINE; Data science; Pathology; Computer science; Biology","score_opus":0.04807540426892746,"score_gpt":0.3482050168133584,"score_spread":0.30012961254443093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102723056","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16661036,0.70126367,0.101749524,0.014190773,0.0015998314,0.0057958113,0.00011703365,0.00057620474,0.00809681],"genre_scores_gemma":[0.045525774,0.86738247,0.080679365,0.00033263984,0.001864762,0.0034727606,0.00009733153,0.00007616957,0.00056870247],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886376,0.00006101649,0.00033506734,0.0003985149,0.000064374675,0.0002772672],"domain_scores_gemma":[0.9988427,0.00007334181,0.00017646074,0.0007892777,0.00003718369,0.000081023776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045232696,0.00020986184,0.0005033259,0.000026425907,0.00017564185,0.000068075606,0.00029743044,0.0001566497,0.00008473592],"category_scores_gemma":[0.0001188975,0.00014054275,0.0001904435,0.00008798881,0.00026776546,0.00010726417,0.00011539595,0.0009659026,0.000051007464],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001940892,0.000035865145,0.011609417,0.00047315896,0.00005462125,0.0000019488284,0.000109748114,0.0000031651523,0.6332501,0.0067406874,0.0074695027,0.34023234],"study_design_scores_gemma":[0.00011604109,0.000010525752,0.00008181781,0.00010959077,0.000037651218,0.00006938788,0.000026037707,0.00004076783,0.015898002,0.0104201315,0.973012,0.0001780706],"about_ca_topic_score_codex":0.0000012469477,"about_ca_topic_score_gemma":0.0000016843268,"teacher_disagreement_score":0.9655425,"about_ca_system_score_codex":0.0000215051,"about_ca_system_score_gemma":0.000021241582,"threshold_uncertainty_score":0.5731167},"labels":[],"label_agreement":null},{"id":"W2102875623","doi":"10.1016/j.aca.2013.07.064","title":"Analytical performance of reciprocal isotope labeling of proteome digests for quantitative proteomics and its application for comparative studies of aerobic and anaerobic Escherichia coli proteomes","year":2013,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Replicate; Proteome; Chemistry; Stable isotope labeling by amino acids in cell culture; Chromatography; Isobaric labeling; Quantitative proteomics; Reproducibility; Tandem mass tag; Peptide; Isotopic labeling; Escherichia coli; Proteomics; Computational biology; Mass spectrometry; Tandem mass spectrometry; Biochemistry; Biology; Statistics","score_opus":0.05034767812195878,"score_gpt":0.34064771288115187,"score_spread":0.2903000347591931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102875623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99193853,0.00009757492,0.0025081944,0.00029519052,0.0000037817363,0.004963824,0.00009880421,0.000029015011,0.000065083455],"genre_scores_gemma":[0.83879423,0.00026097268,0.15715018,0.000010582122,0.000015646034,0.0036668757,0.0000270117,0.000024077028,0.00005041881],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842244,0.000016024214,0.0007505881,0.00043000167,0.00013607043,0.00024488507],"domain_scores_gemma":[0.99778014,0.00036145787,0.00069061306,0.00029453676,0.0007933696,0.0000798774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018877668,0.00025085916,0.0007736467,0.00009543605,0.00011945283,0.000012373847,0.00020808318,0.000135906,0.000007659452],"category_scores_gemma":[0.00021765643,0.00022328334,0.0000893852,0.00024377268,0.0003977241,0.00020284716,0.00010749496,0.00015341972,4.9528927e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023478262,0.00014693332,0.00063865597,0.0016050204,0.00021342773,1.4663889e-8,0.00042464922,0.000011960257,0.987615,0.008943739,0.000020629686,0.000145179],"study_design_scores_gemma":[0.00069134263,0.00053978694,0.00041133625,0.00025816532,0.00016051899,9.3119803e-7,0.000456623,0.0717041,0.92193264,0.0035600865,0.000050402687,0.00023404845],"about_ca_topic_score_codex":0.0000075875655,"about_ca_topic_score_gemma":0.0000033956412,"teacher_disagreement_score":0.15464199,"about_ca_system_score_codex":0.00003948979,"about_ca_system_score_gemma":0.0000678895,"threshold_uncertainty_score":0.910523},"labels":[],"label_agreement":null},{"id":"W2102958991","doi":"10.1016/j.fgb.2010.11.011","title":"Gel-based mass spectrometric and computational approaches to the mitochondrial proteome of Neurospora","year":2010,"lang":"en","type":"article","venue":"Fungal Genetics and Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs","funders":"Canadian Institutes of Health Research","keywords":"Biology; Proteome; Neurospora; Computational biology; Proteomics; Biochemistry; Neurospora crassa; Gene","score_opus":0.04753418376978394,"score_gpt":0.2635857738196174,"score_spread":0.21605159004983346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102958991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9425719,0.00010880744,0.055926017,0.0007800996,0.000037325928,0.00025512953,0.00010511852,0.0000167533,0.00019889318],"genre_scores_gemma":[0.8106743,0.000014881806,0.18898238,0.00005462889,0.0001244541,0.000093760136,0.000022320533,0.000006686146,0.000026597996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995255,0.000007298388,0.00013041488,0.00019316601,0.000035769768,0.00010788598],"domain_scores_gemma":[0.99965215,0.000058572798,0.0000644193,0.00015138871,0.000026405796,0.000047065834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004584825,0.000079102705,0.0000995237,0.000041038085,0.000064943335,0.000011826595,0.00011327254,0.00008678574,0.000023267978],"category_scores_gemma":[0.00002029746,0.000056951198,0.000019550866,0.00011321349,0.00012371059,0.000005167975,0.00005236217,0.00015251392,7.4492004e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025103478,0.000026448091,0.007785174,0.000018078887,0.0000058639744,1.9711031e-7,0.000013695986,0.00018024632,0.981624,0.0063887592,0.000020406154,0.003911992],"study_design_scores_gemma":[0.00075486326,0.00041804626,0.012208014,0.000007880883,0.0000322632,0.000027423643,0.000022299444,0.012360761,0.8673204,0.07790799,0.028587084,0.0003529373],"about_ca_topic_score_codex":0.0000041118337,"about_ca_topic_score_gemma":0.0000030017063,"teacher_disagreement_score":0.13305636,"about_ca_system_score_codex":0.000002793982,"about_ca_system_score_gemma":0.000018893823,"threshold_uncertainty_score":0.23224024},"labels":[],"label_agreement":null},{"id":"W2104009732","doi":"","title":"Assessment of Universal Approaches to Proteome Prefractionation","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proteome; Computer science; Chemistry; Biochemistry","score_opus":0.01802920036832709,"score_gpt":0.17757474240862478,"score_spread":0.1595455420402977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104009732","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16082174,0.000014693342,0.013670432,0.0008976688,0.000018492545,0.00028239688,0.00019772067,0.000018629427,0.8240782],"genre_scores_gemma":[0.9214797,0.000014220463,0.0754549,0.00006460284,0.000012411577,0.000041244024,0.0000066659973,0.000009386163,0.0029168641],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991091,0.0000073039523,0.0001634482,0.00014520243,0.00046972974,0.00010524437],"domain_scores_gemma":[0.99958223,0.000036099445,0.00012996008,0.00015166716,5.211535e-7,0.0000995273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000051562547,0.00008360031,0.00010864932,0.000012963489,0.000059711823,0.0000030795613,0.00013310883,0.0000178843,0.00007684433],"category_scores_gemma":[9.806224e-7,0.00008567867,0.000013629576,0.00004661074,0.00003125211,0.00016127009,0.00007803262,0.00007386311,5.56426e-10],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014154232,0.00007534325,0.01585159,0.00019693488,0.000044998833,0.0000038507314,0.0000937271,0.00010609182,0.36752275,0.6106465,0.00007106669,0.0052456306],"study_design_scores_gemma":[0.000118296695,0.00002938665,0.019041428,0.00003932535,0.000008751683,0.0000013299044,0.0007972322,0.0009677818,0.96919847,0.0046952297,0.0049825194,0.00012022664],"about_ca_topic_score_codex":0.0010564108,"about_ca_topic_score_gemma":0.0013486331,"teacher_disagreement_score":0.8211614,"about_ca_system_score_codex":0.00000921262,"about_ca_system_score_gemma":0.00049224833,"threshold_uncertainty_score":0.3493875},"labels":[],"label_agreement":null},{"id":"W2104883055","doi":"10.1074/mcp.o114.045302","title":"Nic1 Inactivation Enables Stable Isotope Labeling with 13C615N4-Arginine in Schizosaccharomyces pombe","year":2014,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Cancer Research UK","keywords":"Stable isotope labeling by amino acids in cell culture; Schizosaccharomyces pombe; Biochemistry; Arginine; Chemistry; Yeast; Amino acid; Lysine; Proteomics; Saccharomyces cerevisiae","score_opus":0.00532097179432579,"score_gpt":0.21053469939442232,"score_spread":0.20521372760009654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104883055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6748671,0.00012066212,0.32163814,0.00022584954,0.000009480839,0.00054033165,0.000010297611,0.00016372075,0.0024244376],"genre_scores_gemma":[0.75684935,0.000046013745,0.24185395,0.000105433704,0.000053937474,0.00060484174,0.00011685663,0.00008669269,0.00028293132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981946,0.000042015785,0.0004177706,0.0006016167,0.00026220223,0.00048183012],"domain_scores_gemma":[0.99875885,0.000034581215,0.00025729052,0.00073571666,0.00011094585,0.00010262168],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003024025,0.00033208262,0.00033419652,0.0001232775,0.00015538507,0.00009195086,0.00038667716,0.0002121647,0.00009779373],"category_scores_gemma":[0.000070442424,0.0003289004,0.0000659898,0.00036133986,0.00007090729,0.00021990549,0.0001320722,0.00050204067,0.000016785325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006382394,0.00010542024,0.00073601154,0.00009822933,0.000018133354,0.000011892131,0.000057287798,0.0017617462,0.98654115,0.009744236,0.000008300264,0.00085375045],"study_design_scores_gemma":[0.0007963483,0.0000556433,0.00001027391,0.00015368477,0.000018333492,0.00000818439,0.000063221916,0.0053878943,0.98086256,0.008383389,0.0038356679,0.00042481284],"about_ca_topic_score_codex":0.0001458076,"about_ca_topic_score_gemma":0.000019231371,"teacher_disagreement_score":0.081982255,"about_ca_system_score_codex":0.00015652944,"about_ca_system_score_gemma":0.00008080405,"threshold_uncertainty_score":0.9999163},"labels":[],"label_agreement":null},{"id":"W2105000893","doi":"10.1186/1471-2164-14-854","title":"Kinotypes: stable species- and individual-specific profiles of cellular kinase activity","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Genome Canada","keywords":"Kinome; Biology; Computational biology; Kinase; Evolutionary biology; Bioinformatics; Genetics","score_opus":0.031567426954482496,"score_gpt":0.23721434430849692,"score_spread":0.2056469173540144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105000893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96686214,0.00034034022,0.02858959,0.000031729924,0.000010833695,0.0003018419,0.00012224354,0.000059088565,0.0036821642],"genre_scores_gemma":[0.89523333,0.00027978106,0.103312075,0.000009063363,0.00006826076,0.00014149515,0.00003386535,0.000025745605,0.0008963758],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993046,0.0000072120197,0.00018010853,0.00024248904,0.00008613872,0.00017944133],"domain_scores_gemma":[0.9992875,0.00004420938,0.00014640437,0.0004070652,0.000050988758,0.00006381804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060448587,0.00012856668,0.0001646584,0.000029520423,0.00007668577,0.00003865138,0.00018119978,0.000094784125,0.00047429127],"category_scores_gemma":[0.000009175361,0.0001316735,0.000041708707,0.00006289493,0.00009206443,0.000092105445,0.00013620435,0.00013015397,0.00002097112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008348903,0.0000545485,0.0023702893,0.000083881714,0.000007782078,2.457728e-7,0.00007524074,0.000017623075,0.9918573,0.00277102,0.00031500397,0.002438749],"study_design_scores_gemma":[0.00015157444,0.000009959345,0.0013335205,0.000010497398,0.000009028985,0.0000011103562,0.00011933951,0.00015990513,0.9734572,0.0042435145,0.020353556,0.00015078961],"about_ca_topic_score_codex":0.00005411196,"about_ca_topic_score_gemma":0.0000048506404,"teacher_disagreement_score":0.074722484,"about_ca_system_score_codex":0.000049505597,"about_ca_system_score_gemma":0.00003780896,"threshold_uncertainty_score":0.536949},"labels":[],"label_agreement":null},{"id":"W2105017286","doi":"10.1093/jnci/djh056","title":"Analysis of Serum Proteomic Patterns for Early Cancer Diagnosis: Drawing Attention to Potential Problems","year":2004,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":404,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Biobank; Prostate cancer; Proteomics; Cancer; Bioinformatics; Internal medicine; Biology","score_opus":0.030291670143762186,"score_gpt":0.3357734470454592,"score_spread":0.30548177690169703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105017286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94202036,0.000085388514,0.053132843,0.0029582467,0.00024194767,0.00042053356,0.001090884,0.000012601956,0.000037187106],"genre_scores_gemma":[0.99145937,0.00013494179,0.0063842605,0.0001916282,0.00050821394,0.0011896447,0.000008635739,0.000015310075,0.0001080115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864554,0.000006887328,0.00054301834,0.00016179655,0.0004898141,0.00015292506],"domain_scores_gemma":[0.9982502,0.000015390831,0.000734489,0.0001272294,0.0008091317,0.000063585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018954085,0.00012213273,0.0002482176,0.00018677193,0.00016420784,0.000031106687,0.000407961,0.00007370893,0.00007395063],"category_scores_gemma":[0.000055542765,0.00009584444,0.000379601,0.0004571528,0.000041856987,0.0002704228,0.000057837755,0.00018978363,3.94094e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011736666,0.0001763466,0.1158755,0.00017270885,0.0013084515,8.576558e-7,0.00024306588,0.7142546,0.16251834,0.0012260686,0.00020221566,0.0039044772],"study_design_scores_gemma":[0.0029606083,0.00012243484,0.17160939,0.0018300825,0.0024233647,0.000018851615,0.000044109333,0.0014062462,0.7959215,0.016178312,0.006922714,0.00056237605],"about_ca_topic_score_codex":0.00031327156,"about_ca_topic_score_gemma":0.00030304838,"teacher_disagreement_score":0.71284837,"about_ca_system_score_codex":0.000634885,"about_ca_system_score_gemma":0.0003442836,"threshold_uncertainty_score":0.39084232},"labels":[],"label_agreement":null},{"id":"W2105696555","doi":"10.1074/mcp.r500005-mcp200","title":"Statistical and Computational Methods for Comparative Proteomic Profiling Using Liquid Chromatography-Tandem Mass Spectrometry","year":2005,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":298,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Biomarker discovery; Profiling (computer programming); Normalization (sociology); Data mining; Proteomics; Computational biology; Chemistry; Biology","score_opus":0.05376936976033744,"score_gpt":0.40558386421177806,"score_spread":0.35181449445144064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105696555","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00051609223,0.42970982,0.5656666,0.0000062092636,0.000017672453,0.0035219288,0.00034060032,0.00013368914,0.00008735149],"genre_scores_gemma":[0.000039758088,0.26579025,0.7299068,0.000015195837,0.00015817865,0.0028061531,0.0010772385,0.00018835995,0.000018060808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962152,0.00020523809,0.0012720159,0.0013185549,0.0002705938,0.0007183855],"domain_scores_gemma":[0.9976205,0.00028893555,0.0009734016,0.00067639473,0.00018345982,0.00025731037],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058699417,0.0009801227,0.0021366803,0.0003149447,0.00037331576,0.00016919783,0.0005308482,0.0007590222,0.00004434613],"category_scores_gemma":[0.00007149937,0.0010160613,0.0006174228,0.00042829657,0.00030913186,0.000103686536,0.00022239593,0.0010209105,0.0000049568066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013517153,0.0003538339,0.000003962754,0.024283601,0.0014625448,0.000042735883,0.00008295425,0.0009319289,0.802323,0.036995765,0.00001671234,0.13336782],"study_design_scores_gemma":[0.0007496642,0.0001750471,4.9865342e-8,0.0029248807,0.0016421033,0.00012869106,0.00002289072,0.024579685,0.8486401,0.017313382,0.10196212,0.0018613974],"about_ca_topic_score_codex":0.0000041589697,"about_ca_topic_score_gemma":1.7874372e-7,"teacher_disagreement_score":0.16424017,"about_ca_system_score_codex":0.0004166711,"about_ca_system_score_gemma":0.0004365339,"threshold_uncertainty_score":0.99922895},"labels":[],"label_agreement":null},{"id":"W2105869274","doi":"10.1002/rcm.525","title":"<sup>18</sup> O Labeling: a tool for proteomics","year":2001,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":328,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada","funders":"","keywords":"Chemistry; Peptide; Trypsin; Quantitative proteomics; Linear relationship; Chromatography; Detection limit; Proteomics; Enzyme; Biochemistry; Statistics","score_opus":0.03623277268844937,"score_gpt":0.3226549953876611,"score_spread":0.28642222269921175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105869274","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1768703,0.0024145676,0.72744244,0.007224858,0.000028020877,0.002999114,0.00024830003,0.001123624,0.08164875],"genre_scores_gemma":[0.29712144,0.004106536,0.6949897,0.00009254067,0.0000750727,0.0027618543,0.00015185773,0.000053574404,0.00064747845],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998411,0.000033560555,0.0005659199,0.00039629798,0.00014795503,0.00044528162],"domain_scores_gemma":[0.9962891,0.00035488748,0.00019506499,0.002980652,0.00011219159,0.00006813901],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036997278,0.00023830622,0.000291343,0.00025612957,0.00033179397,0.000066148954,0.0016893377,0.0002049952,0.00054444966],"category_scores_gemma":[0.00020755704,0.00027536205,0.00014091961,0.0008605296,0.00014409712,0.00015530994,0.00029484867,0.0006134225,0.000024527551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019538752,0.0014860863,0.016545394,0.00021618893,0.0001410376,0.0000036333797,0.0003746321,0.0013658698,0.6906628,0.26780322,0.0015914585,0.019614268],"study_design_scores_gemma":[0.0033010212,0.0001634236,0.00027777805,0.00027001725,0.00009299206,0.00007553947,0.0008295983,0.09950215,0.22038876,0.4219463,0.25146967,0.0016827354],"about_ca_topic_score_codex":0.000016460303,"about_ca_topic_score_gemma":0.0000067460583,"teacher_disagreement_score":0.47027406,"about_ca_system_score_codex":0.0003398665,"about_ca_system_score_gemma":0.000070822905,"threshold_uncertainty_score":0.99996984},"labels":[],"label_agreement":null},{"id":"W2106442889","doi":"10.1186/1477-5956-12-18","title":"An improved peptide-spectral matching algorithm through distributed search over multiple cores and multiple CPUs","year":2014,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speedup; Computer science; Algorithm; Parallel computing; CUDA; Workstation; Thread (computing); Inference; Multi-core processor; Artificial intelligence; Operating system","score_opus":0.013649549574858944,"score_gpt":0.2936853969677619,"score_spread":0.280035847392903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106442889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54633707,0.0000142056415,0.45261928,0.000068729685,0.000015026277,0.00037925286,0.00010848415,0.00021744306,0.00024051669],"genre_scores_gemma":[0.69414353,0.000013033134,0.30546978,0.000033531844,0.000075488075,0.00015441,0.000029357829,0.000018720853,0.000062162755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980511,0.000016629256,0.0002485065,0.0007526259,0.0003402392,0.0005909166],"domain_scores_gemma":[0.9988234,0.0000919641,0.00011112352,0.000640117,0.000119459495,0.00021392282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044473007,0.00020995522,0.00018802096,0.00004744247,0.00070874026,0.00022684837,0.0006467038,0.000086668755,0.000044603938],"category_scores_gemma":[0.00015648504,0.00019403096,0.00003958015,0.0003684613,0.000673528,0.00075076084,0.0002517314,0.0003465585,0.0000057571124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014190825,0.000060491897,0.0026526197,0.00002542139,0.0000024969795,7.281038e-7,0.00023559472,0.0001502779,0.9874482,0.00084970874,0.000005709055,0.008554537],"study_design_scores_gemma":[0.0004447363,0.000058352816,0.0014913876,0.000026282736,0.000003987464,0.000011901528,0.00009986443,0.25249234,0.73224455,0.012167039,0.0006714034,0.00028814276],"about_ca_topic_score_codex":0.00046747684,"about_ca_topic_score_gemma":0.000025197778,"teacher_disagreement_score":0.25520366,"about_ca_system_score_codex":0.00010797707,"about_ca_system_score_gemma":0.00006688756,"threshold_uncertainty_score":0.7912353},"labels":[],"label_agreement":null},{"id":"W2106833930","doi":"10.1586/14789450.2014.877346","title":"MRM for the verification of cancer biomarker proteins: recent applications to human plasma and serum","year":2014,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Biomarker; Biomarker discovery; Cancer; Selected reaction monitoring; Proteomics; Computational biology; Mass spectrometry; Medicine; Chemistry; Biology; Tandem mass spectrometry; Internal medicine; Chromatography","score_opus":0.05971793943924233,"score_gpt":0.42525173454162396,"score_spread":0.36553379510238165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106833930","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012773157,0.89432627,0.09126981,0.0005489972,0.00001881173,0.013177886,0.00046976007,0.00004300628,0.00014420817],"genre_scores_gemma":[8.73491e-7,0.7777582,0.13626203,0.000095869524,0.00014211897,0.0854138,0.00015089748,0.00006940568,0.00010681615],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977268,0.000037840557,0.0012867629,0.0005503815,0.00017749499,0.00022074132],"domain_scores_gemma":[0.99670756,0.00015195232,0.0014533022,0.001296421,0.00030535203,0.000085410466],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046395912,0.00040272693,0.0014351725,0.00006126429,0.00018009344,0.000016463582,0.00072336197,0.0002519652,0.00008852784],"category_scores_gemma":[0.000120516685,0.00028361668,0.00035090355,0.00030937244,0.00013162105,0.000036808313,0.00016265114,0.00022543376,0.0000030822716],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053819194,0.000044906592,3.3214718e-7,0.1172234,0.00008109907,1.4878542e-8,0.000015205234,2.1634558e-7,0.003991415,0.0027811285,0.0007106579,0.87514627],"study_design_scores_gemma":[0.00008927997,0.000025383404,1.5201113e-7,0.04719117,0.00027173437,0.0000023673017,0.00000463624,0.000012971321,0.011943453,0.00022106274,0.9399631,0.00027471385],"about_ca_topic_score_codex":0.000033110977,"about_ca_topic_score_gemma":0.000007230189,"teacher_disagreement_score":0.93925244,"about_ca_system_score_codex":0.00013605578,"about_ca_system_score_gemma":0.00016561375,"threshold_uncertainty_score":0.9999616},"labels":[],"label_agreement":null},{"id":"W2108710051","doi":"10.1373/clinchem.2006.077370","title":"Discovery of Candidate Tumor Markers for Prostate Cancer via Proteomic Analysis of Cell Culture–Conditioned Medium","year":2007,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Prostate cancer; Cancer; Prostate; Cancer research; Cell culture; Biology; Computational biology; Oncology; Medicine; Internal medicine; Genetics","score_opus":0.012646081612863496,"score_gpt":0.34238705042624373,"score_spread":0.3297409688133802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108710051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787117,0.00007208476,0.017946051,0.00007200959,0.000021947462,0.00040126813,0.001407353,0.000048653623,0.0013189241],"genre_scores_gemma":[0.98394,0.00012177697,0.012470331,0.000042084743,0.00012782532,0.000426757,0.0005662216,0.000027749695,0.002277226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998033,0.000006418227,0.0011019497,0.0004269545,0.00016304296,0.0002686597],"domain_scores_gemma":[0.9980825,0.00021455661,0.0008872685,0.000506865,0.00019745887,0.00011136149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041367774,0.00018864477,0.0005630556,0.000032534845,0.00005384416,0.0000092523405,0.0003025705,0.00020907322,0.00016445041],"category_scores_gemma":[0.00012498419,0.00017450281,0.0004607578,0.00031064558,0.00027339332,0.00007172795,0.00006902787,0.0002639164,5.1820456e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041280492,0.00022355685,0.022472287,0.0006118749,0.00032448157,0.0000012510945,0.00002487279,0.000023404322,0.9753063,0.000012752233,0.00032157867,0.00026485382],"study_design_scores_gemma":[0.000679107,0.000024410789,0.0007245432,0.000058307312,0.0006031236,6.5982067e-7,0.000060867245,0.0002798737,0.99608713,0.0006936555,0.00059078337,0.0001975382],"about_ca_topic_score_codex":0.000037611833,"about_ca_topic_score_gemma":0.000011088753,"teacher_disagreement_score":0.021747744,"about_ca_system_score_codex":0.000070323884,"about_ca_system_score_gemma":0.000118798635,"threshold_uncertainty_score":0.7116018},"labels":[],"label_agreement":null},{"id":"W2109628189","doi":"10.1142/s0219720013500078","title":"<i>DE NOVO</i> SEQUENCING WITH LIMITED NUMBER OF POST-TRANSLATIONAL MODIFICATIONS PER PEPTIDE","year":2013,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Posttranslational modification; Computer science; Proteomics; Peptide; Sequence (biology); DNA sequencing; Tandem mass spectrometry; Biology; Identification (biology); Chemistry; Genetics; Mass spectrometry; Biochemistry; Gene; Chromatography","score_opus":0.011816309144595085,"score_gpt":0.2614766387186723,"score_spread":0.24966032957407724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109628189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63714135,0.000030242521,0.35939693,0.0007214065,0.00000604819,0.00006688395,0.00005400249,0.000009990978,0.0025731295],"genre_scores_gemma":[0.6003989,0.000023141942,0.3993539,0.00012972738,0.000020862391,0.000007516803,0.00004051808,0.0000041879575,0.000021263859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992676,0.0000064113838,0.00047985904,0.000052209645,0.00009434982,0.00009960569],"domain_scores_gemma":[0.9987141,0.00013704627,0.00044660407,0.00006772902,0.0005745994,0.000059948088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008112586,0.00008189337,0.00014809864,0.000055373283,0.00006595979,0.000020670654,0.00009937409,0.00006626244,0.00015565644],"category_scores_gemma":[0.000015432432,0.00006253685,0.00004537732,0.00006534089,0.00010970056,0.0001677413,0.000015405863,0.00013987503,0.0000046995847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003058424,0.0005087451,0.054210532,0.000674761,0.00069326855,0.000004147891,0.0052685672,0.094666064,0.36976135,0.42772642,0.000722934,0.045457378],"study_design_scores_gemma":[0.0040179,0.0006957842,0.014439488,0.00043373366,0.00022125525,0.0054535237,0.0039654514,0.48803395,0.027574161,0.44750312,0.006580418,0.0010812061],"about_ca_topic_score_codex":0.000010078001,"about_ca_topic_score_gemma":5.247089e-7,"teacher_disagreement_score":0.3933679,"about_ca_system_score_codex":0.000025630921,"about_ca_system_score_gemma":0.00014425034,"threshold_uncertainty_score":0.25501785},"labels":[],"label_agreement":null},{"id":"W2109632370","doi":"10.1074/mcp.m500298-mcp200","title":"Quantitative Proteomic Comparison of Rat Mitochondria from Muscle, Heart, and Liver","year":2006,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":278,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Università degli Studi di Padova; Fondazione Telethon; Danmarks Grundforskningsfond; National Research Foundation","keywords":"Mitochondrion; Biology; Intermembrane space; Skeletal muscle; Proteome; Proteomics; Organelle; Oxidative phosphorylation; Cell biology; Submitochondrial particle; Biochemistry; Gene; Bacterial outer membrane; Anatomy","score_opus":0.011687446476038603,"score_gpt":0.2620827656071156,"score_spread":0.250395319131077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109632370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7827082,0.0010887467,0.21455449,0.0000981818,0.000023770031,0.00085310254,0.00006620668,0.00010207318,0.0005051893],"genre_scores_gemma":[0.60797614,0.000020563417,0.39132935,0.000020507301,0.00004048226,0.00029940676,0.00013141915,0.000049849325,0.0001322735],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982655,0.00004527831,0.00057342724,0.0005747186,0.00023035653,0.0003107161],"domain_scores_gemma":[0.9987769,0.00004980182,0.0003487662,0.0006244882,0.00011228811,0.00008772734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009366762,0.0003132172,0.0004606707,0.000066050314,0.00013003536,0.00004848832,0.0002745282,0.00024343733,0.00008571082],"category_scores_gemma":[0.000031373856,0.0003416761,0.00014426833,0.00014566116,0.0002177238,0.00009603731,0.00015803776,0.00036121142,0.000014330588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052332947,0.00015865917,0.0007329728,0.00007935241,0.000021642216,0.000007654836,0.00008209577,0.00019490632,0.99340284,0.004946254,0.0001248202,0.00019645564],"study_design_scores_gemma":[0.00048735406,0.000059172446,0.000090793576,0.00007136478,0.000049700426,0.0000029008568,0.000054109754,0.005275512,0.97919315,0.0129784895,0.001387938,0.00034953226],"about_ca_topic_score_codex":0.00060705707,"about_ca_topic_score_gemma":0.000016860868,"teacher_disagreement_score":0.17677486,"about_ca_system_score_codex":0.0000610891,"about_ca_system_score_gemma":0.00004720417,"threshold_uncertainty_score":0.9999035},"labels":[],"label_agreement":null},{"id":"W2110139532","doi":"10.1016/j.molonc.2010.09.001","title":"Cancer secretomics reveal pathophysiological pathways in cancer molecular oncology","year":2010,"lang":"en","type":"review","venue":"Molecular Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Proteomics; Cancer; Computational biology; Biology; Cancer biomarkers; Identification (biology); Bioinformatics; Cancer cell; Secretory protein; Secretion; Biochemistry; Genetics; Gene","score_opus":0.04217878218415811,"score_gpt":0.39274852439982777,"score_spread":0.35056974221566967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110139532","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021881745,0.9872241,0.0019852172,0.00029889576,0.00025279337,0.0013017969,0.0005983153,0.00023861244,0.005912098],"genre_scores_gemma":[0.00013787481,0.9697306,0.017454125,0.00073507294,0.0003090793,0.010743685,0.0005051387,0.00019683148,0.00018756931],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958943,0.00026541378,0.0012704169,0.0014081016,0.00022212921,0.0009396463],"domain_scores_gemma":[0.99723774,0.0002235585,0.0009952538,0.0011468106,0.00013024278,0.00026638943],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00028144865,0.0008847265,0.0029865685,0.00019999576,0.00010556395,0.00002350224,0.0011556832,0.0038326778,0.0006125528],"category_scores_gemma":[0.00010487125,0.0008200113,0.00074381015,0.00045171694,0.00033107656,0.000041472464,0.0005770709,0.0036723213,0.000043926804],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000220603,0.00028239633,0.0000026452508,0.0017522105,0.00007921681,0.0008504443,0.000027646376,0.0000301001,0.113237984,0.0027219425,0.0001702506,0.8808231],"study_design_scores_gemma":[0.00040051874,0.00012872262,4.3190514e-7,0.0013444185,0.00034619294,0.00009853083,0.000009070661,0.00003289648,0.0075161094,0.004823101,0.9844689,0.00083111005],"about_ca_topic_score_codex":0.0002274801,"about_ca_topic_score_gemma":0.00016380746,"teacher_disagreement_score":0.98429865,"about_ca_system_score_codex":0.0021634437,"about_ca_system_score_gemma":0.002290111,"threshold_uncertainty_score":0.99942505},"labels":[],"label_agreement":null},{"id":"W2110398503","doi":"10.1186/2049-9256-1-8","title":"Mass spectrometry for the detection of potential psychiatric biomarkers","year":2013,"lang":"en","type":"review","venue":"Journal of Molecular Psychiatry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"State University of New York Plattsburgh; Army Research Office; Universität Rostock; Alexander von Humboldt-Stiftung; Cleveland Clinic; York University; State University of New York; SciFund Challenge","keywords":"Proteomics; Biomarker discovery; Biomarker; Disease; Computational biology; Multiple sclerosis; Medicine; Identification (biology); Psychiatry; Bioinformatics; Biology; Pathology; Gene","score_opus":0.011414781026138493,"score_gpt":0.30064947383733703,"score_spread":0.2892346928111985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110398503","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017136284,0.6350901,0.36348602,0.00012531981,0.0006424009,0.00042984576,0.00003465894,0.00001308235,0.0001614014],"genre_scores_gemma":[0.000105626226,0.82142246,0.17749816,0.000016785141,0.00066997216,0.0001344877,0.000008844819,0.000079688536,0.00006398562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786055,0.000036356338,0.001299014,0.00024622463,0.0003171759,0.00024067026],"domain_scores_gemma":[0.9961128,0.00009065127,0.0028926095,0.00060347246,0.00021325116,0.00008721331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003091034,0.00035260196,0.00095052493,0.00030788666,0.000112335336,0.000037249185,0.0008075461,0.00034708457,0.00007306422],"category_scores_gemma":[0.000037598817,0.00023959107,0.0018336627,0.00046061052,0.00006658034,0.000060953356,0.000042510415,0.0007089545,0.0000035320047],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009174254,0.00029588363,0.000004927105,0.017974136,0.0027274156,0.000005695823,0.0000049725945,0.0000264577,0.05107104,0.0016789198,0.0023442267,0.9237746],"study_design_scores_gemma":[0.0008629986,0.00028627823,9.686637e-7,0.0034675556,0.005594713,0.00090367976,0.000068582514,0.000059604623,0.009483964,0.028992899,0.94959843,0.0006803467],"about_ca_topic_score_codex":0.0000027375763,"about_ca_topic_score_gemma":4.2882982e-7,"teacher_disagreement_score":0.9472542,"about_ca_system_score_codex":0.00009360195,"about_ca_system_score_gemma":0.0002966088,"threshold_uncertainty_score":0.977024},"labels":[],"label_agreement":null},{"id":"W2111208001","doi":"10.1186/1559-0275-11-3","title":"Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum","year":2014,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fonds National de la Recherche Luxembourg","keywords":"Computer science; Proteomics; Database; Bioinformatics; Computational biology; SQL; Biology; Biochemistry","score_opus":0.03612208698684959,"score_gpt":0.35002274064671884,"score_spread":0.31390065365986924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111208001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86050516,0.000025358393,0.1376985,0.00023839211,0.000011204242,0.0012187146,0.00011430494,0.000034374112,0.0001540083],"genre_scores_gemma":[0.6870527,0.00007234399,0.3124081,0.00003973687,0.00006217939,0.00020893318,0.000074209805,0.000022963806,0.000058833743],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985323,0.00002636682,0.0008764909,0.0003269124,0.00007162165,0.00016632624],"domain_scores_gemma":[0.99875134,0.00028272005,0.0005282107,0.00029803815,0.000074046045,0.000065639586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006545635,0.00013095961,0.00034980307,0.000050352846,0.000043407286,0.000017056684,0.00013676393,0.00019081404,0.000016612317],"category_scores_gemma":[0.001130731,0.00013448657,0.00007653578,0.00011136901,0.000100817575,0.00011417067,0.00008704816,0.00018869394,4.588854e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003085886,0.00019858452,0.0128451865,0.00043084729,0.000043416003,2.7158578e-7,0.0000329731,0.0000023840792,0.97545385,0.0011298003,0.000016400423,0.009537686],"study_design_scores_gemma":[0.00222243,0.00017714582,0.0010909588,0.00054057204,0.000049779104,0.0000024216606,0.000021862885,0.004375929,0.98603517,0.004883306,0.00040149002,0.00019891569],"about_ca_topic_score_codex":0.000028820854,"about_ca_topic_score_gemma":0.0000057507273,"teacher_disagreement_score":0.17470959,"about_ca_system_score_codex":0.00001503504,"about_ca_system_score_gemma":0.00007994133,"threshold_uncertainty_score":0.54842037},"labels":[],"label_agreement":null},{"id":"W2111432604","doi":"10.1074/mcp.m112.021881","title":"Coomassie Blue as a Near-infrared Fluorescent Stain: A Systematic Comparison With Sypro Ruby for In-gel Protein Detection","year":2013,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Marianopolis College","funders":"Canadian Institutes of Health Research","keywords":"Fluorescence; Chemistry; Chromatography; Coomassie Brilliant Blue; Stain; Mass spectrometry; Fluorescent labelling; Staining; Pathology; Medicine","score_opus":0.006703134724495807,"score_gpt":0.22871091541722322,"score_spread":0.22200778069272742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111432604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54926777,0.00013089295,0.4424826,0.00008317702,0.000008421226,0.0076763565,0.000012683473,0.00016804681,0.00017005474],"genre_scores_gemma":[0.77378064,0.0000032762146,0.19856887,0.000049483922,0.000028688664,0.026986234,0.000072388924,0.00012366184,0.00038677274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975204,0.00006239395,0.0007806525,0.00068588,0.00034264923,0.0006080621],"domain_scores_gemma":[0.99808794,0.000035087363,0.00048400782,0.00095205096,0.00026014366,0.00018073822],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023821258,0.00044589795,0.00061610894,0.00009696717,0.00024157455,0.0002399527,0.00043085343,0.00031077422,0.000044111184],"category_scores_gemma":[0.000090774825,0.00041893328,0.00016308496,0.0003088535,0.000115436764,0.00015714686,0.00010977023,0.00047227784,0.00004194028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012334155,0.00021790894,0.000069905145,0.0056312284,0.000052702446,0.00001750381,0.00017930199,0.0004898313,0.99193025,0.0010503521,0.000011316186,0.00022636095],"study_design_scores_gemma":[0.0011218232,0.00018927174,0.0000034131122,0.0013502176,0.000049716007,0.000017171264,0.00025417248,0.026913,0.9644289,0.00487269,0.00028936207,0.00051023235],"about_ca_topic_score_codex":0.00015614582,"about_ca_topic_score_gemma":0.000015737385,"teacher_disagreement_score":0.24391373,"about_ca_system_score_codex":0.00038821143,"about_ca_system_score_gemma":0.0001571897,"threshold_uncertainty_score":0.99982625},"labels":[],"label_agreement":null},{"id":"W2113038794","doi":"10.1158/1078-0432.963.11.3","title":"Plasma Protein Profiling by Mass Spectrometry for Cancer Diagnosis: Opportunities and Limitations","year":2005,"lang":"en","type":"editorial","venue":"Clinical Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Profiling (computer programming); Mass spectrometry; Computational biology; Medicine; Chemistry; Computer science; Biology; Chromatography","score_opus":0.2656850612986036,"score_gpt":0.5102683841393999,"score_spread":0.2445833228407963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113038794","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039615665,0.13143344,0.02432992,0.08726443,0.46592742,0.039284453,0.17658365,0.0034508691,0.032110132],"genre_scores_gemma":[0.0005527545,0.15757146,0.040881656,0.000047460977,0.6521704,0.12566285,0.0013708222,0.00022558188,0.021516979],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605954,0.000102878585,0.0009705572,0.0011200423,0.00092007715,0.00082689634],"domain_scores_gemma":[0.99028033,0.0072945426,0.00036599513,0.0006442676,0.0010501173,0.00036473153],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0015913673,0.00037243564,0.00067129836,0.00015678794,0.00048675013,0.0001860817,0.0007243208,0.0013754333,0.00035107357],"category_scores_gemma":[0.0040928405,0.00037679137,0.00020707978,0.0002438198,0.0006710666,0.000135493,0.0002556002,0.0032227451,0.0000057309794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019781174,0.00015210791,0.0000839651,0.00074097986,0.00011106703,0.000002144057,0.000015347463,0.0000021692204,0.004229649,0.0006129713,0.9524001,0.041451722],"study_design_scores_gemma":[0.0007186496,0.00013446544,7.199066e-7,0.00055721524,0.00005528971,1.6063147e-7,0.00011248847,0.000111972855,0.046024878,0.003168646,0.94871455,0.00040097605],"about_ca_topic_score_codex":0.0001801616,"about_ca_topic_score_gemma":0.00019947688,"teacher_disagreement_score":0.186243,"about_ca_system_score_codex":0.00054720865,"about_ca_system_score_gemma":0.0015826138,"threshold_uncertainty_score":0.99992096},"labels":[],"label_agreement":null},{"id":"W2113765377","doi":"10.1021/pr0602085","title":"Using Annotated Peptide Mass Spectrum Libraries for Protein Identification","year":2006,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":305,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"National Institute of Standards and Technology","keywords":"Proteome; Sequence database; Peptide; Human proteome project; Computational biology; Peptide sequence; Tandem mass spectrometry; Computer science; Sequence (biology); Peptide library; Identification (biology); Similarity (geometry); Bioinformatics; Chemistry; Biology; Proteomics; Mass spectrometry; Artificial intelligence; Genetics; Biochemistry; Chromatography","score_opus":0.08519475400272278,"score_gpt":0.3943488391147021,"score_spread":0.3091540851119793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113765377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48055825,0.0002580207,0.5140127,0.0018481787,0.00002096324,0.0015888904,0.00006787479,0.00006577651,0.0015793768],"genre_scores_gemma":[0.5596232,0.00001903823,0.43498698,0.00000384063,0.00069966103,0.0004527715,0.000020398535,0.000052760715,0.004141384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998174,0.000044878558,0.0006534781,0.00020099744,0.00052966544,0.00039695404],"domain_scores_gemma":[0.9984238,0.00007338594,0.00046772795,0.00029392287,0.00065877545,0.000082370876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012083477,0.00011785153,0.00020160718,0.00026032745,0.00032522515,0.0002019927,0.00042662592,0.00011809894,0.0000926297],"category_scores_gemma":[0.00019461014,0.00010781032,0.000120038465,0.000407788,0.00014361806,0.00042499072,0.000058183057,0.00058639643,0.0000055339315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012948056,0.00007663588,0.00014617716,0.00015164373,0.000013711182,0.00000600429,0.00001677878,0.00012680487,0.9902929,0.008367745,0.000441043,0.00023106796],"study_design_scores_gemma":[0.00028333633,0.000054307013,0.00003887674,0.0001109005,0.000006066778,0.000023244454,0.000053203792,0.0011696505,0.77077097,0.22222064,0.0051761856,0.00009263687],"about_ca_topic_score_codex":0.00003142311,"about_ca_topic_score_gemma":0.0000017719849,"teacher_disagreement_score":0.21952197,"about_ca_system_score_codex":0.00021938441,"about_ca_system_score_gemma":0.00025616353,"threshold_uncertainty_score":0.43963772},"labels":[],"label_agreement":null},{"id":"W2114670310","doi":"10.1016/j.jasms.2007.06.003","title":"Peptide shifter: Enhancing separation reproducibility using correlated expression profiles","year":2007,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Peptide; Chemistry; Chromatography; Mass spectrometry; Proteome; Proteomics; Reproducibility; Tandem mass spectrometry; Analytical Chemistry (journal); Biochemistry","score_opus":0.017030043863910414,"score_gpt":0.32728320937319544,"score_spread":0.310253165509285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114670310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60909104,0.000066991575,0.39034334,0.00016000426,0.000041627896,0.00012924617,0.0000083361665,0.000028069091,0.00013131881],"genre_scores_gemma":[0.5903438,0.00002800697,0.40912598,0.000073204974,0.00027378235,0.0000056139756,0.0000019779102,0.000019271274,0.00012840064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985242,0.000014207152,0.00060221995,0.0003227863,0.00026652156,0.00027008238],"domain_scores_gemma":[0.99727327,0.0001544297,0.0016309696,0.0006831611,0.00018874729,0.000069419446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013528605,0.00014472233,0.00029402671,0.000038612943,0.00025814114,0.000027667533,0.00033767318,0.000068279594,0.000027482036],"category_scores_gemma":[0.00023924139,0.00010742955,0.00066980056,0.00047609236,0.00015935829,0.00014797956,0.00006804483,0.0004572928,3.9940366e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009616071,0.000050961728,0.0028234567,0.000030409248,0.000047281486,4.127323e-7,0.00013004558,0.00010504315,0.99583197,0.000048726393,0.0004461148,0.00038944726],"study_design_scores_gemma":[0.00020249067,0.000064258034,0.0007044982,0.00008515714,0.000062173414,0.000035915768,0.00090859877,0.0004645569,0.9929006,0.0038789723,0.00056056195,0.00013218357],"about_ca_topic_score_codex":0.000009860425,"about_ca_topic_score_gemma":8.8165e-7,"teacher_disagreement_score":0.018782634,"about_ca_system_score_codex":0.00048809106,"about_ca_system_score_gemma":0.00007634545,"threshold_uncertainty_score":0.438085},"labels":[],"label_agreement":null},{"id":"W2115701133","doi":"10.1021/pr800312m","title":"Multiple Reaction Monitoring of mTRAQ-Labeled Peptides Enables Absolute Quantification of Endogenous Levels of a Potential Cancer Marker in Cancerous and Normal Endometrial Tissues","year":2008,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Quantitative proteomics; Chemistry; Pyruvate kinase; Computational biology; Cancer; Selected reaction monitoring; Proteomics; Biochemistry; Biology; Chromatography; Enzyme; Mass spectrometry; Tandem mass spectrometry; Glycolysis; Genetics","score_opus":0.15184011165525266,"score_gpt":0.3871751663549956,"score_spread":0.23533505469974295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115701133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99615455,0.0018223783,0.0013757927,0.000044589717,0.000031122476,0.00043091367,0.00006811502,0.000006159386,0.000066378736],"genre_scores_gemma":[0.973875,0.005512824,0.020209957,2.2512047e-7,0.000191686,0.000109112836,0.0000016846457,0.000018845765,0.00008066479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979452,0.000080200625,0.00090115255,0.00016760014,0.0006417341,0.00026411016],"domain_scores_gemma":[0.99774384,0.0002383084,0.0008254562,0.00020720287,0.000914944,0.000070235976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011589369,0.00010930741,0.00041058662,0.00048134918,0.000096572825,0.000009159265,0.0002350652,0.00012310846,0.000034101795],"category_scores_gemma":[0.00043047805,0.000102938124,0.000078509154,0.00052627595,0.00022227943,0.0002267462,0.00006825103,0.00048456635,2.1281541e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008457273,0.00017052017,0.012489961,0.00035434013,0.000048471386,0.0000120510185,0.000315761,0.00019445956,0.9794483,0.00001587677,0.0000045827433,0.0060999314],"study_design_scores_gemma":[0.0013332721,0.00015784326,0.010038318,0.0003558348,0.000013572942,0.00008482807,0.00024130671,0.00015942585,0.9872476,0.0002245887,0.000064489526,0.00007894654],"about_ca_topic_score_codex":0.0021325182,"about_ca_topic_score_gemma":0.000041660154,"teacher_disagreement_score":0.02227955,"about_ca_system_score_codex":0.00018707702,"about_ca_system_score_gemma":0.00029965505,"threshold_uncertainty_score":0.4197695},"labels":[],"label_agreement":null},{"id":"W2116063068","doi":"10.1093/bioinformatics/btl379","title":"General framework for developing and evaluating database scoring algorithms using the TANDEM search engine","year":2006,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":218,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Computer science; Database search engine; Database; Function (biology); Software; Suite; Information retrieval; Matching (statistics); Source code; Data mining; Open source; Search engine; Programming language; Mathematics","score_opus":0.07749868424509176,"score_gpt":0.3742599619674528,"score_spread":0.29676127772236105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116063068","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122488,0.00009035329,0.87674445,0.00008967546,0.000013701829,0.0002394128,0.000044018492,0.00007001711,0.00022039731],"genre_scores_gemma":[0.016250152,0.000037003658,0.98320556,0.000058118472,0.00024537562,0.00007579681,0.00006565972,0.000016988204,0.000045351957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992484,0.0000034942714,0.00028731543,0.000100315636,0.00013603806,0.00022443816],"domain_scores_gemma":[0.9994182,0.00013739204,0.00010555148,0.00024137736,0.000071100934,0.000026350837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277617,0.00010896876,0.0000978251,0.000024088373,0.00037053536,0.00007627043,0.0001400074,0.000069036774,0.0000055062674],"category_scores_gemma":[0.000059890397,0.00008663064,0.000026828695,0.000100617406,0.000042328316,0.00014309832,0.000114846705,0.0001599326,7.135791e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038178332,0.00008434854,0.0030824726,0.002311271,0.00011241115,0.0000022590805,0.0015792178,0.020449692,0.2140604,0.47316444,0.0004128336,0.28470248],"study_design_scores_gemma":[0.00015681659,0.0000062840154,0.0000135175305,0.00013454437,0.000016068941,0.000011751868,0.00025052656,0.86234003,0.12632823,0.009746153,0.0008386869,0.00015741527],"about_ca_topic_score_codex":0.00002099189,"about_ca_topic_score_gemma":0.0000010795108,"teacher_disagreement_score":0.84189034,"about_ca_system_score_codex":0.00006909124,"about_ca_system_score_gemma":0.00005504313,"threshold_uncertainty_score":0.35326952},"labels":[],"label_agreement":null},{"id":"W2116355203","doi":"10.1016/j.molonc.2014.03.006","title":"Mass spectrometry based biomarker discovery, verification, and validation — Quality assurance and control of protein biomarker assays","year":2014,"lang":"en","type":"review","venue":"Molecular Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":234,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Proteomics; Shotgun proteomics; Biomarker; Quantitative proteomics; Biomarker discovery; Mass spectrometry; Computational biology; Label-free quantification; Chemistry; Bioinformatics; Biology; Chromatography; Biochemistry; Gene","score_opus":0.027609585652509896,"score_gpt":0.35541378394603795,"score_spread":0.3278041982935281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116355203","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024482992,0.3853079,0.6120032,0.00012247273,0.00001306904,0.0008620889,0.00021876991,0.00004770925,0.0011799684],"genre_scores_gemma":[0.03823784,0.8316291,0.12591241,0.00009038021,0.000056946785,0.0028414489,0.0008676405,0.00014653326,0.00021768291],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977662,0.0003343542,0.0008420944,0.0006546026,0.00017065348,0.00023207138],"domain_scores_gemma":[0.99764127,0.00036135572,0.0010969724,0.0007136271,0.000105679515,0.00008109196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068902056,0.0003620485,0.0013449894,0.00013532492,0.00006857535,0.000037503825,0.00024098234,0.0006075718,0.000046249777],"category_scores_gemma":[0.0002650738,0.00034127294,0.0001999944,0.00023213928,0.00024892957,0.00006457272,0.000057715824,0.00027761553,0.0000025375327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006661624,0.00017816268,0.00007269351,0.01693641,0.0002836263,0.000008258448,0.000004238302,0.000001218964,0.6246981,0.008944928,0.0000485035,0.34875727],"study_design_scores_gemma":[0.0012684884,0.00010847733,0.000046056397,0.0021041923,0.0006841642,0.000028525701,0.000005059075,0.00022991044,0.06722635,0.004590116,0.9229224,0.00078630995],"about_ca_topic_score_codex":0.000018471272,"about_ca_topic_score_gemma":0.0000013883447,"teacher_disagreement_score":0.92287385,"about_ca_system_score_codex":0.00016081893,"about_ca_system_score_gemma":0.00022134336,"threshold_uncertainty_score":0.9999039},"labels":[],"label_agreement":null},{"id":"W2117030531","doi":"","title":"Dependence model and network for biomarker identification and cancer classification","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Classifier (UML); Computer science; Support vector machine; Biomarker; Identification (biology); Artificial intelligence; Biomarker discovery; Machine learning; Data mining; Dependency (UML); Cancer; Pattern recognition (psychology); Medicine; Proteomics; Biology","score_opus":0.028753717727201235,"score_gpt":0.3095129865751777,"score_spread":0.2807592688479764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117030531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09262667,0.0003927036,0.9038489,0.00051230344,0.0000060219645,0.0002163637,0.000039716306,0.00010122808,0.002256131],"genre_scores_gemma":[0.8686839,0.00033439678,0.1267068,0.00003422588,0.00005358462,0.0008259392,0.000051815732,0.0000117733025,0.0032976063],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995084,0.0000014382255,0.00013813714,0.00021320167,0.000039759278,0.000099059536],"domain_scores_gemma":[0.9996974,0.000024594776,0.000071467206,0.00013947154,0.00004443823,0.000022619619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057636447,0.0000639861,0.000056206198,0.000010404303,0.000121842655,0.000032869644,0.000047636942,0.00006189471,0.000014706032],"category_scores_gemma":[0.0000041309913,0.00006258477,0.000012378385,0.000039761173,0.0000369512,0.000080907055,0.00001787247,0.000032836637,4.1825595e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015355356,0.000019160814,0.0026677386,0.00005033515,0.0000053107083,2.9995338e-8,0.0000074087106,0.0014704107,0.85073555,0.11553807,0.002680004,0.026810609],"study_design_scores_gemma":[0.000204925,0.0000024451783,0.0030460642,0.00001773588,0.000023457163,0.00000223081,0.000016322938,0.62937284,0.09995271,0.26303315,0.004142436,0.0001856803],"about_ca_topic_score_codex":0.000066449385,"about_ca_topic_score_gemma":0.000057669815,"teacher_disagreement_score":0.77714205,"about_ca_system_score_codex":0.000020450438,"about_ca_system_score_gemma":0.000010307738,"threshold_uncertainty_score":0.2552133},"labels":[],"label_agreement":null},{"id":"W2117582795","doi":"10.1093/jxb/erj157","title":"Relative and absolute quantitative shotgun proteomics: targeting low-abundance proteins in Arabidopsis thaliana","year":2006,"lang":"en","type":"article","venue":"Journal of Experimental Botany","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Shotgun proteomics; Proteomics; Shotgun; Quantitative proteomics; Arabidopsis thaliana; Mass spectrometry; Chemistry; Label-free quantification; Proteome; Computational biology; Biochemistry; Isobaric labeling; Biology; Chromatography; Gene","score_opus":0.011789373930416479,"score_gpt":0.28366940600387314,"score_spread":0.2718800320734567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117582795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98499805,0.0045462586,0.0067052515,0.00020362581,0.000021553262,0.00032186127,0.000015888634,0.000023857061,0.003163672],"genre_scores_gemma":[0.8001095,0.00007551071,0.19939183,0.00002084266,0.000091586764,0.00008598147,0.0000018068997,0.000023227867,0.00019970676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987359,0.000020440897,0.00062167726,0.0002150611,0.0001829236,0.0002240146],"domain_scores_gemma":[0.99910736,0.00004782569,0.0005716596,0.00013256687,0.00007564262,0.00006493657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018777465,0.00018048333,0.00027809935,0.00006791091,0.000105151834,0.000039511342,0.00016282346,0.00009316512,0.0000710105],"category_scores_gemma":[0.000037472244,0.00017032138,0.00008683422,0.00013004451,0.0001190458,0.000404568,0.000058029942,0.0003772176,0.000002684759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011215952,0.00019299431,0.00086883525,0.000011746031,0.000015701238,0.000025330297,0.00038400802,0.000017777857,0.99326915,0.0049365186,0.00009224635,0.00007352853],"study_design_scores_gemma":[0.0006540481,0.00010811282,0.00029767325,0.00024476976,0.0000073716733,0.000047397723,0.0009902345,0.000362626,0.98877394,0.007842449,0.00046715373,0.00020420746],"about_ca_topic_score_codex":0.000076781704,"about_ca_topic_score_gemma":0.000011450318,"teacher_disagreement_score":0.19268657,"about_ca_system_score_codex":0.00024065039,"about_ca_system_score_gemma":0.00003826162,"threshold_uncertainty_score":0.6945504},"labels":[],"label_agreement":null},{"id":"W2117839210","doi":"10.1155/2011/210805","title":"Features-Based Deisotoping Method for Tandem Mass Spectra","year":2011,"lang":"en","type":"article","venue":"Advances in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Oak Ridge National Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Monoisotopic mass; Tandem; Cluster (spacecraft); Mass spectrum; Ion; Spectral line; Tandem mass spectrometry; Low resolution; Computer science; High resolution; Chemistry; Analytical Chemistry (journal); Physics; Mass spectrometry; Materials science; Geology; Remote sensing; Chromatography","score_opus":0.021302319331053778,"score_gpt":0.3209371961809636,"score_spread":0.29963487684990986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117839210","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017836221,0.0002785574,0.9403453,0.00003984255,0.00003185582,0.00032564413,0.000034514098,0.0001494061,0.058616538],"genre_scores_gemma":[0.0050062253,0.00027619672,0.993901,0.0002017926,0.000039552197,0.0003893124,0.00003631355,0.00002029255,0.0001293236],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990925,0.0000039728025,0.00038391928,0.00014525893,0.0000933593,0.00028095214],"domain_scores_gemma":[0.9992571,0.0001202675,0.00019828818,0.00033288423,0.000041929092,0.000049567785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014688059,0.00015773991,0.00018535879,0.00006166264,0.00008521974,0.000015614663,0.0002761837,0.00011216069,0.00006563556],"category_scores_gemma":[0.000049334267,0.00014981719,0.00007496833,0.0001416033,0.000042316024,0.00032768154,0.000024460478,0.00018500745,0.000004324929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003166988,0.00037583953,0.006494097,0.002851687,0.000059076567,0.000008239455,0.0024442992,0.0034893923,0.027515614,0.30286267,0.0005430899,0.6530393],"study_design_scores_gemma":[0.0009327553,0.000058740767,0.000049381913,0.00018622247,0.000019773599,0.000007981348,0.000396586,0.05841901,0.71792495,0.15606506,0.065435365,0.00050418987],"about_ca_topic_score_codex":0.000004282251,"about_ca_topic_score_gemma":0.000012811485,"teacher_disagreement_score":0.6904093,"about_ca_system_score_codex":0.000077411365,"about_ca_system_score_gemma":0.000030956217,"threshold_uncertainty_score":0.61093676},"labels":[],"label_agreement":null},{"id":"W2118113746","doi":"10.1186/1477-5956-5-16","title":"Comparative proteome analysis of human epithelial ovarian cancer","year":2007,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université Laval","funders":"","keywords":"Ovarian cancer; Proteome; Proteomics; Biology; Metastasis; Cancer; Context (archaeology); Cancer research; Bioinformatics; Computational biology; Genetics; Gene","score_opus":0.03292048143860867,"score_gpt":0.3751294452224995,"score_spread":0.3422089637838909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118113746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202364,0.000026245005,0.06949765,0.00008237361,0.000013294302,0.00063165434,0.00009715453,0.0001177959,0.009297395],"genre_scores_gemma":[0.9542588,0.0000048833076,0.04478897,0.000020922776,0.000053123207,0.00045368433,0.000006946821,0.00000917658,0.0004035027],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981926,0.000006437596,0.0004191646,0.0005045437,0.0004572615,0.00042000294],"domain_scores_gemma":[0.9987338,0.000028795304,0.0003397722,0.0004640397,0.00029085955,0.00014272626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076677534,0.00015750063,0.00035162852,0.00037738,0.00038556757,0.00003577785,0.00073488563,0.000068916685,0.00037829686],"category_scores_gemma":[0.00003460759,0.00014402022,0.0001080196,0.0029095672,0.000844929,0.00021608673,0.00014920934,0.00020907869,0.0000059752983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000143953075,0.00005923279,0.0016939,0.00001898819,0.000048179056,5.40091e-7,0.0003499393,0.00012612007,0.9913217,0.005587013,0.0000022629838,0.0007777653],"study_design_scores_gemma":[0.00013343102,0.000023313023,0.004536417,0.000024202967,0.0000829741,7.475529e-7,0.00007965906,0.00085163553,0.99010926,0.0036787281,0.0002980037,0.00018163439],"about_ca_topic_score_codex":0.0003138239,"about_ca_topic_score_gemma":0.0000713395,"teacher_disagreement_score":0.034022357,"about_ca_system_score_codex":0.00015914306,"about_ca_system_score_gemma":0.00011018821,"threshold_uncertainty_score":0.58729744},"labels":[],"label_agreement":null},{"id":"W2118290743","doi":"10.1093/bioinformatics/btp366","title":"Automated protein (re)sequencing with MS/MS and a homologous database yields almost full coverage and accuracy","year":2009,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo; Western University","funders":"","keywords":"Protein sequencing; Sequence database; Sequence (biology); Proteomics; Protein methods; Computational biology; DNA sequencing; Tandem mass spectrometry; Database; Peptide sequence; Computer science; Sequence analysis; Mass spectrometry; Biology; Genetics; DNA; Chemistry; Gene; Chromatography","score_opus":0.014643112685008496,"score_gpt":0.26237445132770787,"score_spread":0.24773133864269936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118290743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9282958,0.00012717785,0.060924,0.00027712103,0.0000045179136,0.0006016542,0.00018968475,0.0008000779,0.008779992],"genre_scores_gemma":[0.7100922,0.00019286311,0.28911775,0.00022867991,0.000024887097,0.00008467863,0.00013604548,0.000015995478,0.00010693849],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999206,0.0000037415805,0.00029370256,0.00015316221,0.000114755836,0.00022864566],"domain_scores_gemma":[0.99923223,0.000042317755,0.00019952114,0.00037835265,0.00004367085,0.00010391087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007685454,0.00018444494,0.0001698124,0.000037615937,0.00017176158,0.000081544946,0.00013002372,0.00011610655,0.000035208737],"category_scores_gemma":[0.00005638319,0.00015370472,0.000016072483,0.00010683729,0.00007622374,0.0003843558,0.00007708712,0.00020665137,0.000004610388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034510123,0.00024519136,0.00038865054,0.0018322807,0.00009797791,0.00010919099,0.0034421803,0.00019584033,0.8967405,0.009030868,0.002342966,0.08522924],"study_design_scores_gemma":[0.0024293822,0.0006854239,0.00021317758,0.001039384,0.000100906334,0.0010950937,0.0008758601,0.19548325,0.7821543,0.004673874,0.009737452,0.00151187],"about_ca_topic_score_codex":0.000030349707,"about_ca_topic_score_gemma":0.000008212865,"teacher_disagreement_score":0.22819376,"about_ca_system_score_codex":0.000050002032,"about_ca_system_score_gemma":0.00005686327,"threshold_uncertainty_score":0.6267897},"labels":[],"label_agreement":null},{"id":"W2118302629","doi":"10.1373/clinchem.2012.184614","title":"The Long Journey of Cancer Biomarkers from the Bench to the Clinic","year":2012,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Medicine; Bench to bedside; Cancer; Internal medicine; Oncology; Medical physics","score_opus":0.1343993620659959,"score_gpt":0.4712997917392572,"score_spread":0.3369004296732613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118302629","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030433046,0.9937056,0.00010867965,0.0015141201,0.00018944108,0.00052499544,0.0006149378,0.000057204295,0.0029807333],"genre_scores_gemma":[0.00019607913,0.9924176,0.00048473396,0.00019013902,0.0023382849,0.0010306474,0.00014027228,0.00007581505,0.0031264562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99672437,0.00009111017,0.0019017232,0.000563526,0.0002852731,0.00043400694],"domain_scores_gemma":[0.99054974,0.0053036558,0.0014169548,0.0023945135,0.00011484179,0.00022031469],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013119694,0.0004315226,0.0010636224,0.0000051503957,0.00038077147,0.00006169069,0.002703743,0.00076455873,0.001220246],"category_scores_gemma":[0.00074528204,0.00019677811,0.0011468561,0.00024298103,0.000551632,0.00002535147,0.00062149554,0.0018622436,0.000085006075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151716495,0.00007818023,0.00072533556,0.0012580103,0.0004971434,7.292236e-7,0.000012242033,1.9902173e-7,0.0000234725,0.000016002461,0.016366635,0.98100686],"study_design_scores_gemma":[0.00008131708,0.0000037508457,0.000013886478,0.0022169251,0.0008925831,0.0000033316603,0.000029917894,0.0000014391607,0.0010374441,0.00024849662,0.9952154,0.00025548998],"about_ca_topic_score_codex":0.000050910334,"about_ca_topic_score_gemma":0.000024723673,"teacher_disagreement_score":0.9807514,"about_ca_system_score_codex":0.0000997094,"about_ca_system_score_gemma":0.00035293726,"threshold_uncertainty_score":0.9996928},"labels":[],"label_agreement":null},{"id":"W2118897204","doi":"10.1074/mcp.m900456-mcp200","title":"Synthetic Peptide Arrays for Pathway-Level Protein Monitoring by Liquid Chromatography-Tandem Mass Spectrometry","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kinexus Bioinformatics Corporation (Canada); University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Tandem mass spectrometry; Mass spectrometry; Computational biology; Shotgun; Proteomics; Multiplex; Phosphoproteomics; Chromatography; Peptide; Biology; Bioinformatics; Kinase; Protein phosphorylation; Protein kinase A; Biochemistry","score_opus":0.009809578420289681,"score_gpt":0.23305812055821945,"score_spread":0.22324854213792977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118897204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5158453,0.00012619114,0.48145056,0.00009287421,0.00004814012,0.0013005927,0.00014028336,0.00027577553,0.0007202789],"genre_scores_gemma":[0.51973355,0.00001595186,0.47657275,0.000016840704,0.00018227348,0.0028661648,0.000098215314,0.00014764423,0.00036661435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99732965,0.000022293343,0.00057537656,0.00092219294,0.00035930658,0.000791155],"domain_scores_gemma":[0.9979213,0.00003738082,0.00035374088,0.0012748365,0.00015189077,0.00026089174],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031879832,0.000530735,0.00043319463,0.00013088353,0.0003543276,0.00012854322,0.0007693063,0.0004928308,0.00008810653],"category_scores_gemma":[0.00010985987,0.000596869,0.00040063335,0.00031057783,0.00016095882,0.00012093947,0.00012597139,0.00092091336,0.000016726579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048931237,0.00012896079,0.000052656538,0.0001513343,0.000053175354,0.000013313285,0.00002361338,0.000013221556,0.99563366,0.0036209682,0.00003104911,0.00022908927],"study_design_scores_gemma":[0.000522827,0.00010507951,0.0000010917786,0.00009826202,0.00003937986,0.00001540731,0.0000358588,0.00027423695,0.9823785,0.010576197,0.0052735037,0.00067968003],"about_ca_topic_score_codex":0.00001465087,"about_ca_topic_score_gemma":0.0000010760297,"teacher_disagreement_score":0.013255211,"about_ca_system_score_codex":0.00010951345,"about_ca_system_score_gemma":0.000098027995,"threshold_uncertainty_score":0.9996483},"labels":[],"label_agreement":null},{"id":"W2118938750","doi":"10.1074/mcp.o111.014902","title":"De Novo Sequencing and Homology Searching","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computational biology; Homology (biology); Computer science; DNA sequencing; Sequence database; Proteomics; Sequence (biology); Genome; Sequence analysis; Biology; Genetics; Gene","score_opus":0.02146770040343689,"score_gpt":0.24308708292340592,"score_spread":0.22161938251996902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118938750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59533113,0.00012094451,0.39759034,0.000034697467,0.00000513338,0.00017759034,0.0000053079834,0.000108840526,0.006625989],"genre_scores_gemma":[0.62072104,0.000029299776,0.37877172,0.00010102328,0.00002256121,0.00016105,0.000010495689,0.00004012788,0.00014266242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998923,0.000026064325,0.00020735548,0.00036447763,0.00009329472,0.00038580317],"domain_scores_gemma":[0.9992837,0.000013271743,0.00008882869,0.00044339133,0.000039603285,0.00013123533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019110055,0.0001789481,0.00016234622,0.000050661853,0.00014979632,0.000033720844,0.00025199234,0.00017446782,0.000114604314],"category_scores_gemma":[0.000033885117,0.00020114686,0.00006266357,0.00008075648,0.00012595864,0.00006016604,0.00018387445,0.00039148604,0.000009466946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011868658,0.000021195561,0.0003884964,0.00004894192,0.000015584734,0.00011854022,0.00033395542,0.000017071543,0.98167324,0.016239494,0.0000018123018,0.0011298062],"study_design_scores_gemma":[0.00016990668,0.000019643074,0.0000073408078,0.000022554426,0.000016792228,0.0001559317,0.000063519605,0.00096293516,0.95780647,0.04018886,0.000370798,0.00021522888],"about_ca_topic_score_codex":0.00008842098,"about_ca_topic_score_gemma":0.0000018146562,"teacher_disagreement_score":0.025389904,"about_ca_system_score_codex":0.000120677236,"about_ca_system_score_gemma":0.00008130223,"threshold_uncertainty_score":0.8202531},"labels":[],"label_agreement":null},{"id":"W2118941547","doi":"10.1186/1746-1596-5-10","title":"Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS)","year":2010,"lang":"en","type":"article","venue":"Diagnostic Pathology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Concordia University of Edmonton","keywords":"Stromal cell; Laser capture microdissection; Stroma; Pathology; Connective tissue; Proteomics; Microdissection; Fibrocyte; Biology; Carcinoma; Chemistry; Immunohistochemistry; Medicine; Gene expression; Biochemistry; Gene","score_opus":0.0077937791075281745,"score_gpt":0.27327566844724066,"score_spread":0.2654818893397125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118941547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708807,0.00002383611,0.02623873,0.00008580437,0.00002206861,0.00032522087,0.000746682,0.000060000948,0.0016169903],"genre_scores_gemma":[0.9473026,0.00000981903,0.051995695,0.00007401332,0.00003776853,0.00034258133,0.00017480516,0.000016026404,0.000046736517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892646,0.00002705293,0.00028958995,0.00039459928,0.00010585302,0.00025643813],"domain_scores_gemma":[0.9985573,0.00064882374,0.00023038831,0.00042703186,0.000044366298,0.00009208016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102644415,0.00019267059,0.00046544586,0.00016667247,0.000070528244,0.000011036114,0.00020644425,0.00013988784,0.00052272365],"category_scores_gemma":[0.00014827997,0.00019251458,0.00007069432,0.0002923274,0.00023305323,0.000032975655,0.000043616466,0.00041295058,0.0000120637105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026956295,0.00015862296,0.007894399,0.000020015914,0.00004865599,0.000022518729,0.00003611122,0.00009289621,0.99077916,0.00073024805,0.00008965571,0.00010076993],"study_design_scores_gemma":[0.00033037312,0.00014648408,0.006588956,0.00001024288,0.00019399507,0.000008350521,0.000017076081,0.0010851456,0.99070895,0.00055998383,0.00016744956,0.00018301097],"about_ca_topic_score_codex":0.000021583146,"about_ca_topic_score_gemma":0.000011202341,"teacher_disagreement_score":0.025756964,"about_ca_system_score_codex":0.000021117836,"about_ca_system_score_gemma":0.00002656213,"threshold_uncertainty_score":0.78505164},"labels":[],"label_agreement":null},{"id":"W2119560703","doi":"10.1074/mcp.m100027-mcp200","title":"Selective Detection of Membrane Proteins Without Antibodies","year":2002,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Genentech; Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Mass spectrometry; Tandem mass spectrometry; Western blot; Chromatography; Ion trap; Peptide; Reagent; Antibody; Biochemistry; Biology","score_opus":0.009080484571182702,"score_gpt":0.22590870108848365,"score_spread":0.21682821651730094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119560703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6555943,0.00024687586,0.33865103,0.00005255555,0.000011861084,0.0007594151,0.000018273988,0.00018013328,0.0044855336],"genre_scores_gemma":[0.89302033,0.00008996018,0.10567121,0.000023305989,0.00004246084,0.00054332934,0.000017044202,0.00006742519,0.00052494975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858034,0.000027290644,0.00039708073,0.00043895267,0.00023900325,0.00031732256],"domain_scores_gemma":[0.9988338,0.000012046172,0.0002998098,0.000611835,0.00016252362,0.000079985555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000104558305,0.00026739098,0.00031370734,0.00008472974,0.00014517717,0.00002529495,0.00028338344,0.00021930347,0.0001276407],"category_scores_gemma":[0.000052553445,0.0002874249,0.00016295045,0.00025316517,0.00013456948,0.00009408342,0.00009108633,0.00036266207,0.000021372236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022818602,0.00012403892,0.0001349734,0.00015254373,0.000043270255,0.0000060101484,0.00010316968,0.00010984266,0.99736744,0.0007057651,0.000004102826,0.001226051],"study_design_scores_gemma":[0.0003504672,0.000052719184,0.0000047850986,0.00005383423,0.000035680856,0.000012760757,0.000023758477,0.004125338,0.99199796,0.0024163842,0.000624317,0.0003020034],"about_ca_topic_score_codex":0.00003933733,"about_ca_topic_score_gemma":0.0000039049755,"teacher_disagreement_score":0.237426,"about_ca_system_score_codex":0.00008879057,"about_ca_system_score_gemma":0.000018874955,"threshold_uncertainty_score":0.9999578},"labels":[],"label_agreement":null},{"id":"W2119568183","doi":"10.1039/c0an00105h","title":"Mass-spectrometry-based clinical proteomics – a review and prospective","year":2010,"lang":"en","type":"review","venue":"The Analyst","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"National Cancer Institute; National Institutes of Health; Genome British Columbia; Broad Institute; National Institute of Environmental Health Sciences; Genome Canada","keywords":"Proteomics; Mass spectrometry; Data science; Computer science; Chemistry; Chromatography","score_opus":0.043001375902280654,"score_gpt":0.3980663012918879,"score_spread":0.35506492538960727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119568183","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010064243,0.9799761,0.013630134,0.00023522414,0.000011727488,0.0016872557,0.000133101,0.00013215544,0.0041932594],"genre_scores_gemma":[0.0000011500175,0.9251906,0.071605325,0.00018931269,0.00022116039,0.0018861077,0.000105571096,0.00006634606,0.00073441153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801856,0.000069054164,0.0008890944,0.00061591173,0.00015231191,0.00025506457],"domain_scores_gemma":[0.9972776,0.00024696844,0.0008468693,0.0014336007,0.00008916078,0.000105772575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006893619,0.00041779046,0.0018058605,0.00006227691,0.0001788347,0.000050679995,0.00071289693,0.00043575297,0.00022537584],"category_scores_gemma":[0.00014175253,0.00025754195,0.0006708554,0.0004775638,0.000258499,0.000030946812,0.00012577174,0.0018442611,0.00004514549],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001639089,0.00028644578,0.00009508485,0.10147801,0.0010548324,0.000012973514,0.000008112204,2.674914e-7,0.00034477783,0.014546733,0.0020604907,0.8800959],"study_design_scores_gemma":[0.000084434425,0.000016298822,3.79508e-7,0.0068660732,0.0031704386,0.000021018503,0.0000012118501,0.000007886881,0.00010927527,0.0030911886,0.9863013,0.00033050968],"about_ca_topic_score_codex":0.000005349279,"about_ca_topic_score_gemma":0.0000037202653,"teacher_disagreement_score":0.9842408,"about_ca_system_score_codex":0.000081030936,"about_ca_system_score_gemma":0.00019635055,"threshold_uncertainty_score":0.99998766},"labels":[],"label_agreement":null},{"id":"W2119597418","doi":"10.1139/b06-061","title":"The application of proteomics to plant biology: a review","year":2006,"lang":"en","type":"review","venue":"Canadian Journal of Botany","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Proteomics; Proteome; Biology; Computational biology; Oryza sativa; Arabidopsis thaliana; Arabidopsis; Bioinformatics; Genetics; Mutant; Gene","score_opus":0.02397330201850002,"score_gpt":0.3210204302478246,"score_spread":0.2970471282293246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119597418","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000018820263,0.98599756,0.011628196,0.0002775201,0.000028278866,0.00077329576,0.0005115462,0.000006378976,0.0007753372],"genre_scores_gemma":[0.0000071021705,0.9876548,0.01158486,0.0000666605,0.0001766864,0.00029470818,0.000033656113,0.000033982345,0.00014751796],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845356,0.000025379339,0.0010439092,0.00015641215,0.000081224,0.00023950606],"domain_scores_gemma":[0.99755394,0.00008732366,0.0013801319,0.0005078739,0.00018347164,0.00028724672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034809718,0.0002087845,0.00089900225,0.00008780212,0.00012719489,0.000018033716,0.0007610466,0.00019547298,0.000018381425],"category_scores_gemma":[0.00010761732,0.00014233259,0.00033776066,0.00024282286,0.00008544573,0.000021496411,0.00002128855,0.00045767086,0.0000055501837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019357094,0.000008034574,0.0000047624662,0.007627142,0.00006259768,0.0000055282267,0.0000042263478,8.286082e-7,0.00015400228,0.0038993629,0.008844023,0.9793876],"study_design_scores_gemma":[0.000025520618,0.000014901163,1.3054594e-7,0.01446844,0.00018524619,0.00013536555,0.0000016339864,0.0000010812541,0.000099484125,0.0010518426,0.9838823,0.00013407473],"about_ca_topic_score_codex":0.00048295365,"about_ca_topic_score_gemma":0.0016613594,"teacher_disagreement_score":0.9792535,"about_ca_system_score_codex":0.0002998693,"about_ca_system_score_gemma":0.0014426721,"threshold_uncertainty_score":0.5804154},"labels":[],"label_agreement":null},{"id":"W2120277210","doi":"10.1373/clinchem.2006.082552","title":"Oncopeptidomics: A Useful Approach for Cancer Diagnosis?","year":2007,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Cancer; Computational biology; Medicine; Biology; Internal medicine","score_opus":0.0843316056434045,"score_gpt":0.40319695101473857,"score_spread":0.31886534537133404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120277210","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012281835,0.005770172,0.11836111,0.62549585,0.0009010073,0.0053430395,0.016198056,0.0038392795,0.21180964],"genre_scores_gemma":[0.00040497273,0.0041947044,0.21296793,0.58644736,0.056325924,0.035714697,0.010281399,0.0006884474,0.09297456],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99622107,0.000011278045,0.0013413993,0.0013909662,0.00028253187,0.00075273844],"domain_scores_gemma":[0.9962425,0.0011197347,0.0007908325,0.0014159136,0.0002294358,0.00020153876],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00039133526,0.0006148561,0.00096859835,0.000031237905,0.00014852473,0.000064663785,0.0011361407,0.0039047066,0.0012244243],"category_scores_gemma":[0.0003659935,0.0006329257,0.0008817132,0.00011363849,0.0003705184,0.000047760743,0.0002288192,0.004239095,0.000017533823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000463806,0.00018132702,0.0018103054,0.0015425938,0.00012163542,0.000014512273,0.0000041471208,0.0000034903144,0.0004004152,0.0000066528364,0.99185365,0.0040149153],"study_design_scores_gemma":[0.00071295653,0.000010380161,9.975523e-7,0.00017946481,0.00015663597,0.000007362543,0.0000071255663,0.000112428206,0.084046416,0.0007318556,0.9133331,0.0007012495],"about_ca_topic_score_codex":0.000007862493,"about_ca_topic_score_gemma":6.2375693e-7,"teacher_disagreement_score":0.11883508,"about_ca_system_score_codex":0.0002775104,"about_ca_system_score_gemma":0.00024203151,"threshold_uncertainty_score":0.99968857},"labels":[],"label_agreement":null},{"id":"W2120604708","doi":"10.1093/nar/gkl784","title":"MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes","year":2006,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteome; Biology; Proteomics; Biomarker discovery; Sequence database; Computational biology; Mascot; Bioinformatics; Genetics; Gene","score_opus":0.02712581743055077,"score_gpt":0.3254999163974305,"score_spread":0.2983740989668797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120604708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94998753,0.00064830476,0.0052464353,0.00042585627,0.00001231378,0.00080885505,0.00029259798,0.00020574627,0.042372357],"genre_scores_gemma":[0.96595514,0.00024127134,0.026554272,0.0000102801805,0.00016086189,0.00019888433,0.00022781617,0.000063434854,0.0065880693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99824727,0.00003928734,0.0003243648,0.0004443209,0.0004860289,0.00045874147],"domain_scores_gemma":[0.9986505,0.000099778284,0.00007919431,0.0008246669,0.00023017843,0.00011571165],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004210182,0.00016671883,0.00022594853,0.00011984585,0.00021795939,0.000047996386,0.00043906824,0.00018084941,0.0014346822],"category_scores_gemma":[0.00006639838,0.00016398045,0.000028670396,0.0003333868,0.00035205952,0.00009967241,0.0003568775,0.00049715,0.00007562581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003326452,0.000103508006,0.001140765,0.00026806197,0.0000077868135,0.000016015503,0.000026322758,0.0000016693218,0.9842191,0.010428264,0.002787792,0.0009674728],"study_design_scores_gemma":[0.00031586763,0.00004453792,0.00014664886,0.000059479225,0.00000617504,0.000009631845,0.00007520597,0.00015722394,0.94534767,0.010138319,0.043534435,0.00016482404],"about_ca_topic_score_codex":0.00028819768,"about_ca_topic_score_gemma":0.000004666483,"teacher_disagreement_score":0.040746644,"about_ca_system_score_codex":0.000060378297,"about_ca_system_score_gemma":0.00006995012,"threshold_uncertainty_score":0.99947816},"labels":[],"label_agreement":null},{"id":"W2120649366","doi":"10.1142/s0219720008003321","title":"DESIGN AND ANALYSIS OF QUANTITATIVE DIFFERENTIAL PROTEOMICS INVESTIGATIONS USING LC-MS TECHNOLOGY","year":2008,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Pipeline (software); Pooling; Computer science; Biomarker discovery; Proteomics; Quantitative proteomics; Data mining; Computational biology; Identification (biology); Deconvolution; Artificial intelligence; Biology; Algorithm","score_opus":0.037417142446872394,"score_gpt":0.30122854702450924,"score_spread":0.26381140457763685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120649366","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4726763,0.000054992255,0.5271153,0.00006610152,0.0000045034612,0.000042915653,0.000019940364,0.0000047557564,0.0000152305465],"genre_scores_gemma":[0.41892806,0.00010395347,0.5809249,0.000013663095,0.00000594492,0.0000029274802,0.000016504755,0.0000025430963,0.0000014509343],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920756,0.000011846079,0.0005654378,0.000063896674,0.000069631096,0.0000816239],"domain_scores_gemma":[0.9987873,0.00014854582,0.0007063362,0.00006181352,0.0002506723,0.000045337965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089732304,0.00008549756,0.00029076153,0.00037495533,0.000115203286,0.0000074331792,0.00008520013,0.00010254412,0.000009972848],"category_scores_gemma":[0.000045327593,0.00007188873,0.000052658903,0.00031366257,0.00036335218,0.000084206105,0.000046124656,0.00013284707,1.238621e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028732006,0.00035884572,0.049452286,0.00026984586,0.0035078335,0.0000071922564,0.0033816707,0.24697182,0.4235281,0.2641622,0.000051180068,0.00802167],"study_design_scores_gemma":[0.0003744816,0.00016152284,0.0007651672,0.00002807754,0.00024674126,0.00017636207,0.00016059469,0.9187155,0.016051585,0.06316711,0.00003568597,0.00011719798],"about_ca_topic_score_codex":0.0000028645006,"about_ca_topic_score_gemma":2.348182e-7,"teacher_disagreement_score":0.67174363,"about_ca_system_score_codex":0.000017560682,"about_ca_system_score_gemma":0.00008107179,"threshold_uncertainty_score":0.29315376},"labels":[],"label_agreement":null},{"id":"W2121002144","doi":"10.1002/prot.20303","title":"Design of a data model for developing laboratory information management and analysis systems for protein production","year":2004,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Biotechnology Research Institute","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Production (economics); Computer science; Systems engineering; Manufacturing engineering; Engineering","score_opus":0.027297439604524906,"score_gpt":0.25796740747052616,"score_spread":0.23066996786600125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121002144","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033726941,0.00007681314,0.99281585,0.000084127154,0.000016128573,0.0029037443,0.00064159033,0.00007341802,0.000015615571],"genre_scores_gemma":[0.08648608,0.00007181284,0.91170573,0.000024878724,0.000022934963,0.00091522915,0.0007361591,0.000008528105,0.000028651777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991674,0.0000032104165,0.00043208967,0.00015731169,0.00011365402,0.00012637397],"domain_scores_gemma":[0.99905926,0.0000068940203,0.0003627027,0.00033214156,0.00020685316,0.00003213709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814371,0.00013785322,0.00017957331,0.00014688754,0.0001752557,0.00006208287,0.00011193617,0.00010200511,8.8745503e-7],"category_scores_gemma":[0.000031713793,0.00012023312,0.000021676662,0.00024650816,0.000038063226,0.00080834475,0.000069169975,0.00006223959,9.9030395e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019501139,0.00015455889,0.0001599159,0.045472436,0.0026790479,1.4095781e-7,0.0034180267,0.39652252,0.19364275,0.21751395,0.00043913044,0.13804741],"study_design_scores_gemma":[0.00085711165,0.000057464153,0.000010005224,0.00012724184,0.0003621538,0.0000021401736,0.0003684704,0.9321037,0.04449803,0.0199821,0.0013899277,0.0002416342],"about_ca_topic_score_codex":0.0000041254716,"about_ca_topic_score_gemma":0.0000016404153,"teacher_disagreement_score":0.53558123,"about_ca_system_score_codex":0.00005096154,"about_ca_system_score_gemma":0.00005383662,"threshold_uncertainty_score":0.49029645},"labels":[],"label_agreement":null},{"id":"W2121166244","doi":"10.1093/bioinformatics/btt056","title":"Non-parametric Bayesian approach to post-translational modification refinement of predictions from tandem mass spectrometry","year":2013,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Bayesian probability; Posttranslational modification; Tandem mass spectrometry; Computer science; Parametric statistics; Mass spectrometry; Tandem; Chemistry; Computational biology; Chromatography; Mathematics; Artificial intelligence; Statistics; Biology; Materials science","score_opus":0.014431690440249959,"score_gpt":0.2489121045829948,"score_spread":0.23448041414274484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121166244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045492534,0.000014401785,0.92450964,0.00024031675,0.00001504989,0.00048496848,0.0003026056,0.00010370981,0.02883676],"genre_scores_gemma":[0.43261302,0.000012826583,0.5665203,0.000040987634,0.000034651803,0.00024107695,0.0004218598,0.000009865248,0.00010544722],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988789,0.000002581625,0.0005458862,0.00014604328,0.00025439053,0.00017218634],"domain_scores_gemma":[0.99902487,0.000040682124,0.00022004638,0.0004418144,0.00016641893,0.000106185274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006012119,0.00013618024,0.00016061141,0.00017378604,0.00008710273,0.000034188884,0.00024263134,0.00011470913,0.00030730426],"category_scores_gemma":[0.000027106218,0.00013301354,0.00006638483,0.0004759906,0.000031320415,0.00019861115,0.00003228225,0.00013577528,0.000056130855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006554389,0.0017622929,0.014792162,0.00088889594,0.0004076542,2.640217e-7,0.0031659591,0.018738614,0.8810237,0.040234115,0.009081755,0.029839013],"study_design_scores_gemma":[0.00075442577,0.000096456744,0.009678328,0.0000809327,0.00008501892,0.0000039961146,0.0013684304,0.7626164,0.20761369,0.014612166,0.0024770275,0.0006131175],"about_ca_topic_score_codex":0.000084295905,"about_ca_topic_score_gemma":8.5421186e-7,"teacher_disagreement_score":0.74387777,"about_ca_system_score_codex":0.00007315329,"about_ca_system_score_gemma":0.000040496358,"threshold_uncertainty_score":0.5424135},"labels":[],"label_agreement":null},{"id":"W2122040085","doi":"10.1586/14789450.2.1.27","title":"Multidimensional protein identification technology: current status and future prospects","year":2005,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Data science; Inference; Computational biology; Cluster analysis; Computer science; Protein expression; Identification (biology); Proteomics; Data mining; Biology; Artificial intelligence","score_opus":0.01959680593327925,"score_gpt":0.3675701587539694,"score_spread":0.3479733528206902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122040085","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000060913153,0.9917175,0.0019458436,0.00032619995,0.000059235546,0.005478588,0.00016150293,0.00018778544,0.00011722631],"genre_scores_gemma":[2.1396882e-7,0.7734172,0.21716674,0.000019202627,0.00052986934,0.008338023,0.00030672745,0.000076115626,0.00014597035],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693507,0.000037946378,0.0014983058,0.00084196654,0.00029903476,0.00038768025],"domain_scores_gemma":[0.9968046,0.000025036437,0.0016667417,0.0011430063,0.00022981832,0.00013082015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002555709,0.00063809,0.0017927694,0.00017270897,0.0001304302,0.000023583014,0.00045650586,0.0005280839,0.0001713377],"category_scores_gemma":[0.00010853057,0.00052787917,0.0003647996,0.00045259506,0.00019141442,0.00012797712,0.00029711443,0.0009083501,0.000032570795],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024919113,0.00010041097,4.941393e-7,0.10083338,0.00003028937,5.236125e-7,0.000010079195,1.3625569e-8,0.0018016412,0.004428159,0.0002653159,0.8925272],"study_design_scores_gemma":[0.00009786694,0.000014595697,7.497714e-8,0.10614583,0.00012187229,0.000019464354,0.00000560474,0.0000028701293,0.0049369945,0.0004632284,0.88774973,0.00044184158],"about_ca_topic_score_codex":0.000002417231,"about_ca_topic_score_gemma":6.5774583e-7,"teacher_disagreement_score":0.8920854,"about_ca_system_score_codex":0.00026607866,"about_ca_system_score_gemma":0.00027571502,"threshold_uncertainty_score":0.9997173},"labels":[],"label_agreement":null},{"id":"W2122110053","doi":"10.1128/aem.68.2.977-980.2002","title":"Rapid Identification of Probiotic Lactobacillus Biosurfactant Proteins by ProteinChip Tandem Mass Spectrometry Tryptic Peptide Sequencing","year":2002,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; University of Manitoba; Western University; Lawson Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Probiotic; Tandem mass spectrometry; Mass spectrometry; Lactobacillus; Peptide mass fingerprinting; Peptide; Protein mass spectrometry; Tandem mass tag; Chemistry; Biology; Microbiology; Proteomics; Bacteria; Chromatography; Biochemistry; Quantitative proteomics","score_opus":0.008398057085501811,"score_gpt":0.18520493706593064,"score_spread":0.17680687998042882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122110053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900065,0.00063871266,0.0065420507,0.00007969138,0.000010160787,0.0008008217,0.00035576263,0.000083917585,0.0014823659],"genre_scores_gemma":[0.98618114,0.00054272613,0.012240006,0.000035337423,0.000022791337,0.00022568314,0.00026988707,0.00003105621,0.00045137457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871844,0.000013225707,0.00044518846,0.0004673065,0.000054431894,0.0003014],"domain_scores_gemma":[0.9992876,0.000023805842,0.00029403213,0.0003263158,0.0000037766858,0.000064454616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008428008,0.0002337009,0.00026998136,0.0000451835,0.00012713707,0.000013407749,0.00017520612,0.00020646707,0.0005546586],"category_scores_gemma":[0.000004401759,0.00022701875,0.000053107302,0.00007832822,0.00032266974,0.00004659608,0.00007352879,0.00022524725,0.000032111206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008439681,0.0000974276,0.0002878117,0.000060067556,0.000027294498,7.184234e-7,0.00006120366,0.000004269583,0.99769443,0.00027782368,0.00004616962,0.0014343224],"study_design_scores_gemma":[0.00037136712,0.00005058514,0.00004844269,0.000016237,0.000023051884,0.000036142665,0.00017015084,0.00008993741,0.99652314,0.0007411454,0.0016829951,0.00024678127],"about_ca_topic_score_codex":0.0000065547206,"about_ca_topic_score_gemma":4.674708e-7,"teacher_disagreement_score":0.005697955,"about_ca_system_score_codex":0.00017048932,"about_ca_system_score_gemma":0.0000068377462,"threshold_uncertainty_score":0.9257556},"labels":[],"label_agreement":null},{"id":"W2122217863","doi":"10.15252/msb.20145760","title":"Efficient sample processing for proteomics applications—Are we there yet?","year":2014,"lang":"en","type":"letter","venue":"Molecular Systems Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Proteomics; Biology; Computational biology; Sample (material); Quantitative proteomics; Throughput; Scalability; Computer science; Chromatography; Genetics; Telecommunications; Database","score_opus":0.019894444548137005,"score_gpt":0.28723998253764943,"score_spread":0.26734553798951244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122217863","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013426878,0.0023475687,0.94214904,0.050581068,0.000063717176,0.0030243734,0.0008052987,0.0003482019,0.0005464571],"genre_scores_gemma":[0.0700158,0.0003116581,0.4951333,0.17389901,0.011895836,0.2261591,0.016903196,0.0014827999,0.004199304],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781036,0.00005192652,0.00057513337,0.0009073616,0.00012289667,0.0005323306],"domain_scores_gemma":[0.9976661,0.00014317126,0.00084008503,0.0010285061,0.00026606116,0.000056030916],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001558525,0.0004573063,0.0006291109,0.00008425308,0.00023021978,0.0000711293,0.00067443773,0.0015517033,0.000014245918],"category_scores_gemma":[0.00005170903,0.00042699047,0.00021187104,0.000118416734,0.00011998935,0.000008663315,0.000106195585,0.00082982663,0.00001625461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074986165,0.0002638124,0.00014342448,0.025487948,0.00045292094,0.00004220277,0.000108498214,0.0035526927,0.6147292,0.025117937,0.31455293,0.01547339],"study_design_scores_gemma":[0.00019883932,0.00002332272,5.9156637e-8,0.0003186533,0.00005336057,0.00002980201,0.000015429796,0.0052969866,0.021839267,0.00502364,0.96670526,0.00049539405],"about_ca_topic_score_codex":0.00003823254,"about_ca_topic_score_gemma":8.506961e-7,"teacher_disagreement_score":0.6521523,"about_ca_system_score_codex":0.00016455399,"about_ca_system_score_gemma":0.000089081215,"threshold_uncertainty_score":0.9998182},"labels":[],"label_agreement":null},{"id":"W2122460910","doi":"10.1093/jxb/erj168","title":"A perspective on the use of iTRAQTM reagent technology for protein complex and profiling studies","year":2006,"lang":"en","type":"review","venue":"Journal of Experimental Botany","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":469,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Syddansk Universitet; York University; University of Washington","keywords":"Computational biology; Reagent; Isobaric labeling; Protein function; Protein expression; Proteomics; Biology; Quantitative proteomics; Computer science; Chemistry; Biochemistry","score_opus":0.17567613041579555,"score_gpt":0.42868550412080475,"score_spread":0.2530093737050092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122460910","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015835216,0.9963884,0.00033673548,0.0001610102,0.000012381933,0.0012344914,0.00008954809,0.000017666187,0.00017626997],"genre_scores_gemma":[0.0016969934,0.9169047,0.08007235,0.000015765725,0.00012660089,0.0009455604,0.0000036331705,0.000049492508,0.00018492839],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988311,0.000018864997,0.00068263145,0.0001956877,0.00013405115,0.00013769451],"domain_scores_gemma":[0.9981662,0.00015169951,0.0012082017,0.0002434332,0.00020276885,0.000027667691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110451074,0.00024667213,0.0008929371,0.00008999619,0.000111303816,0.000018059372,0.0002232979,0.00015325802,0.000011103361],"category_scores_gemma":[0.00010114398,0.00015311943,0.0002981824,0.00010595706,0.00021829133,0.00004696762,0.000090563684,0.00035966528,2.3736156e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020903641,0.001045426,0.000002267829,0.0036954249,0.0014545094,0.00002238606,0.00036155156,0.0000014767336,0.7890824,0.11456992,0.0019592133,0.08759641],"study_design_scores_gemma":[0.00027244762,0.00033937013,4.2462368e-8,0.0067956196,0.00021999089,0.00012819168,0.0019786868,0.0000071691175,0.44780943,0.0029654517,0.5392508,0.00023280464],"about_ca_topic_score_codex":0.0000024940948,"about_ca_topic_score_gemma":2.886555e-7,"teacher_disagreement_score":0.5372916,"about_ca_system_score_codex":0.00039601373,"about_ca_system_score_gemma":0.00005694264,"threshold_uncertainty_score":0.62440294},"labels":[],"label_agreement":null},{"id":"W2122955089","doi":"10.1158/0008-5472.can-04-3218","title":"Evidence for the Presence of Disease-Perturbed Networks in Prostate Cancer Cells by Genomic and Proteomic Analyses: A Systems Approach to Disease","year":2005,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Public Safety and Security; Canadian Institute for Theoretical Astrophysics","keywords":"LNCaP; Prostate cancer; Androgen; Biology; Chromoplexy; Computational biology; Cancer research; KEGG; Cancer; Gene; Bioinformatics; Transcriptome; Genetics; Gene expression; Endocrinology; PCA3","score_opus":0.11852094602251899,"score_gpt":0.4325674994616021,"score_spread":0.3140465534390831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122955089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90097773,0.060927603,0.027208524,0.0025147258,0.000024356974,0.0074146586,0.00082035916,0.000053150874,0.000058873895],"genre_scores_gemma":[0.9539522,0.008804812,0.0015886265,0.000042113625,0.00017332193,0.034137074,0.0000123411355,0.000036803074,0.0012527079],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998327,0.000055749624,0.00030383313,0.0005423622,0.0002944098,0.00047663634],"domain_scores_gemma":[0.99842566,0.00040854342,0.00009407478,0.0005994224,0.00019219493,0.0002800904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050069595,0.00015288148,0.00020616325,0.00006919664,0.00017915301,0.000076811535,0.00055748795,0.00004762008,0.000017618717],"category_scores_gemma":[0.00012309183,0.00011537567,0.000049424347,0.00036976807,0.0002124525,0.00011644416,0.00018400648,0.00031659554,7.735946e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012865947,0.000115948416,0.0022633858,0.0010679072,0.000036707344,6.3308784e-7,0.0003179073,0.18274288,0.8029565,0.00017897128,0.004366454,0.0046660546],"study_design_scores_gemma":[0.0013359102,0.00007201776,0.0021945261,0.0029225606,0.00012444037,8.5370965e-7,0.00047340462,0.7320236,0.24149652,0.0005491508,0.018026335,0.0007806842],"about_ca_topic_score_codex":0.001243575,"about_ca_topic_score_gemma":0.00003781147,"teacher_disagreement_score":0.56146,"about_ca_system_score_codex":0.00038104164,"about_ca_system_score_gemma":0.00031132472,"threshold_uncertainty_score":0.4704883},"labels":[],"label_agreement":null},{"id":"W2123741511","doi":"10.1002/jssc.200900221","title":"Design and optimization of porous polymer enzymatic digestors for proteomics","year":2009,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Chromatography; Chemistry; Trypsin; Monolith; Mass spectrometry; Immobilized enzyme; Glycidyl methacrylate; Protease; Proteolytic enzymes; Polymer; Enzyme; Biochemistry; Organic chemistry; Polymerization","score_opus":0.024974571494664654,"score_gpt":0.33317654251807927,"score_spread":0.3082019710234146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123741511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09791776,0.00006703267,0.9015161,0.0002099837,0.000009649249,0.00016469085,0.0000012663796,0.0000071590425,0.00010637283],"genre_scores_gemma":[0.50935405,0.000032630967,0.49052364,0.000023017554,0.000018128067,0.000006852547,4.2583386e-7,0.0000022470804,0.000039003546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993494,0.000004236023,0.00031601457,0.00008416251,0.00016649906,0.00007968598],"domain_scores_gemma":[0.9990374,0.000039902076,0.0005094542,0.00009102004,0.00027614916,0.000046065452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003815853,0.000051958807,0.000104432074,0.00007624271,0.00009974617,0.0000307563,0.00014225044,0.000030848398,0.0000062305085],"category_scores_gemma":[0.00007639967,0.000044697896,0.000021094696,0.00016620537,0.00009222957,0.00039145857,0.000007408616,0.00005131955,9.036158e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034856897,0.00003061758,0.000013810299,0.000008588219,0.0000015683792,1.2558705e-7,0.00018137983,0.044322032,0.9522598,0.0014699384,0.00002290308,0.0016544034],"study_design_scores_gemma":[0.00017051205,0.00012453155,0.000018639037,0.000026414233,0.000008726471,0.000026880254,0.000029281224,0.043436456,0.95232207,0.0037627828,0.000022766195,0.00005093479],"about_ca_topic_score_codex":4.5175096e-7,"about_ca_topic_score_gemma":2.9964667e-8,"teacher_disagreement_score":0.4114363,"about_ca_system_score_codex":0.000039217153,"about_ca_system_score_gemma":0.000104150786,"threshold_uncertainty_score":0.18227273},"labels":[],"label_agreement":null},{"id":"W2123815804","doi":"10.1002/pmic.200600518","title":"Comparison of SDS‐ and methanol‐assisted protein solubilization and digestion methods for <b><i>Escherichia coli</i></b> membrane proteome analysis by 2‐D LC‐MS/MS","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Solubilization; Proteome; Escherichia coli; Chromatography; Chemistry; Digestion (alchemy); Membrane protein; Proteomics; Methanol; Membrane; Biochemistry","score_opus":0.027014261253096795,"score_gpt":0.37149555809017104,"score_spread":0.34448129683707424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123815804","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39030674,0.00023858286,0.60706985,0.00009855889,0.00000634648,0.0019346263,0.000067870074,0.000104758234,0.00017270983],"genre_scores_gemma":[0.3516769,0.00005547445,0.64642197,0.000015545193,0.000027889686,0.0014131481,0.00016761392,0.00004170459,0.00017974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802876,0.000056823344,0.0007961135,0.00058799615,0.0001698234,0.00036047824],"domain_scores_gemma":[0.9983011,0.00019734648,0.00068569055,0.0004270796,0.00023871893,0.00015008078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010654973,0.00030285347,0.0006615759,0.00016480831,0.00022287361,0.000053059077,0.00019620107,0.00033303653,0.000022603612],"category_scores_gemma":[0.00025161647,0.0003132313,0.00012402252,0.000641254,0.00018688545,0.00015773933,0.000102438666,0.00027485512,2.933126e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018834982,0.00016637387,0.0020445997,0.0004499819,0.00014910432,1.0710567e-7,0.0001624696,0.000048438273,0.986374,0.00090953294,0.0000091751135,0.00949785],"study_design_scores_gemma":[0.00061577966,0.00009477759,0.00034128103,0.000054103944,0.00032918827,0.0000014639336,0.000068473106,0.014310429,0.9792522,0.003090945,0.0015077859,0.0003335411],"about_ca_topic_score_codex":0.000077585224,"about_ca_topic_score_gemma":0.000028541199,"teacher_disagreement_score":0.039352164,"about_ca_system_score_codex":0.0000881185,"about_ca_system_score_gemma":0.000039671373,"threshold_uncertainty_score":0.999932},"labels":[],"label_agreement":null},{"id":"W2124312647","doi":"10.1093/bioinformatics/bth186","title":"Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry","year":2004,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Kernel (algebra); Tandem mass spectrometry; Identification (biology); Software; Fragment (logic); Correlative; Mass spectrometry; Artificial intelligence; Data mining; Algorithm; Chemistry; Mathematics; Operating system","score_opus":0.016772802314836435,"score_gpt":0.2691784092850094,"score_spread":0.252405606970173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124312647","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027763577,0.000021498397,0.96733207,0.0008119924,0.00004505155,0.00063408713,0.000056704026,0.0001827557,0.0031522547],"genre_scores_gemma":[0.34509766,0.000057350833,0.6525385,0.00029646917,0.0001273995,0.0008455359,0.00009622984,0.000029548017,0.0009113668],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989329,0.0000022939937,0.00050946267,0.0001336362,0.00016689047,0.00025484586],"domain_scores_gemma":[0.9990543,0.00007071123,0.00026593372,0.00045052895,0.000077492245,0.00008102975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018168768,0.00014069273,0.00012363172,0.000056863613,0.00033702553,0.00007771192,0.00030984211,0.00008421442,0.00003019613],"category_scores_gemma":[0.00007792754,0.00011524695,0.000093210496,0.00024447226,0.000029937624,0.00015159757,0.00005813538,0.00015926515,0.00009110711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008770039,0.00045334906,0.0005252942,0.000768061,0.00022374533,0.0000023512926,0.008034344,0.020065084,0.77966166,0.13354172,0.006922449,0.049714223],"study_design_scores_gemma":[0.0014691881,0.00010023547,0.00022300617,0.00021393753,0.00012253391,0.00003188096,0.0045727794,0.04105793,0.8044116,0.11466936,0.032295708,0.00083185075],"about_ca_topic_score_codex":0.000006586364,"about_ca_topic_score_gemma":0.0000017504946,"teacher_disagreement_score":0.3173341,"about_ca_system_score_codex":0.00023332823,"about_ca_system_score_gemma":0.000034778728,"threshold_uncertainty_score":0.46996343},"labels":[],"label_agreement":null},{"id":"W2124851083","doi":"10.1074/mcp.m112.017889","title":"Identification of Differentially Expressed Proteins in Direct Expressed Prostatic Secretions of Men with Organ-confined Versus Extracapsular Prostate Cancer","year":2012,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Prostate cancer; Prostate; Prostatectomy; Cancer; Prostatic acid phosphatase; Medicine; Prostate-specific antigen; Oncology; Internal medicine","score_opus":0.008500433717894015,"score_gpt":0.2429756514774171,"score_spread":0.23447521775952307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124851083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86980915,0.00030941868,0.12638438,0.00007383288,0.000018588118,0.002474361,0.0002233016,0.00008370492,0.00062326755],"genre_scores_gemma":[0.9640018,0.000103863866,0.03131548,0.0000044580247,0.000027944416,0.00401109,0.0002002572,0.00009846688,0.00023667573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977557,0.0000690193,0.00084743905,0.0004695548,0.00039328344,0.00046498087],"domain_scores_gemma":[0.99793005,0.000035422163,0.00078857865,0.00088080583,0.00024256198,0.00012258261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026559693,0.00034225616,0.00046725298,0.00014027038,0.000078934965,0.000028721275,0.00038904007,0.00019449602,0.00010678341],"category_scores_gemma":[0.00007507703,0.00033647355,0.00010830783,0.0003965913,0.00017500472,0.00020007967,0.00010084864,0.00030085113,0.000002032306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042752482,0.00045312766,0.00093179685,0.0005109395,0.00007740832,0.000003909397,0.0007976846,0.00063233724,0.9950618,0.00089124544,0.0000043509044,0.00020783333],"study_design_scores_gemma":[0.0017712541,0.00006280469,0.00011449535,0.00023091954,0.00010328244,0.0000010255989,0.00013036244,0.0012112845,0.99526393,0.00066275615,0.00008851405,0.00035935754],"about_ca_topic_score_codex":0.00014442691,"about_ca_topic_score_gemma":0.000012496966,"teacher_disagreement_score":0.095068894,"about_ca_system_score_codex":0.0001398999,"about_ca_system_score_gemma":0.0001700449,"threshold_uncertainty_score":0.99990875},"labels":[],"label_agreement":null},{"id":"W2125598411","doi":"10.1373/clinchem.2010.155705","title":"Improving the Biomarker Pipeline","year":2010,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Biomarker; Pipeline (software); Computer science; Computational biology; Chemistry; Biology; Biochemistry","score_opus":0.0382626853548671,"score_gpt":0.34682489615853646,"score_spread":0.30856221080366936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125598411","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053504813,0.00039391767,0.005882468,0.92206264,0.00042441726,0.00043256822,0.000538872,0.0010547338,0.06385991],"genre_scores_gemma":[0.0041844086,0.0003727018,0.016036535,0.7746657,0.041448418,0.0010425297,0.003016206,0.00044322893,0.15879023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973723,0.000015772217,0.0010076277,0.0008664697,0.00026944565,0.00046832624],"domain_scores_gemma":[0.99611944,0.000794681,0.00067786383,0.0021717565,0.0001289327,0.00010735114],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00038537092,0.00043688156,0.00047558904,0.000008825748,0.00020047194,0.000080154736,0.0014196031,0.0050028367,0.0023111056],"category_scores_gemma":[0.00065646775,0.0003216564,0.0005248047,0.000087804474,0.0005689829,0.000032112373,0.00041863308,0.014130396,0.000092421134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007348505,0.00003718267,0.0001309469,0.0002706794,0.000026402027,0.000030233552,0.0000012275384,5.443427e-8,0.040238284,0.0000038575276,0.94529575,0.013958048],"study_design_scores_gemma":[0.00016217552,0.0000016627067,9.609323e-7,0.000048038557,0.00007070192,0.000027163294,0.0000030695678,0.00026429232,0.11217834,0.0009156068,0.8859548,0.000373217],"about_ca_topic_score_codex":0.000008677896,"about_ca_topic_score_gemma":5.4378955e-7,"teacher_disagreement_score":0.14739689,"about_ca_system_score_codex":0.000045088203,"about_ca_system_score_gemma":0.00013848189,"threshold_uncertainty_score":0.9999235},"labels":[],"label_agreement":null},{"id":"W2125851915","doi":"10.1002/pmic.200600112","title":"High‐coverage quantitative proteomics using amine‐specific isotopic labeling","year":2006,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Proteomics; Quantitative proteomics; Label-free quantification; Chemistry; Peptide; Computational biology; Chromatography; Isobaric labeling; Biochemistry; Biology","score_opus":0.02291258630831817,"score_gpt":0.27825807643962214,"score_spread":0.255345490131304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125851915","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5438593,0.00015443306,0.45325732,0.00008988003,0.00004195153,0.0007342601,0.000089218855,0.00027549829,0.0014981162],"genre_scores_gemma":[0.20443307,0.00011946638,0.7935394,0.000048651607,0.00038334721,0.00054037105,0.000103338396,0.000090454065,0.00074190367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980739,0.00001837436,0.00059206394,0.0005976395,0.00022163539,0.00049640285],"domain_scores_gemma":[0.9987043,0.000058214388,0.00036710573,0.00063438935,0.00015683385,0.00007916152],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014724409,0.00035592398,0.00035109455,0.00008896816,0.00034240514,0.00011915275,0.00038762265,0.00024422185,0.00014082661],"category_scores_gemma":[0.000034168166,0.00038510677,0.00012444035,0.00026342334,0.000116445204,0.00023031687,0.00014643124,0.0004823361,0.000038682403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043827466,0.000107464286,0.00065539853,0.00007407369,0.000014448579,0.000005656403,0.00003129119,0.002906313,0.939825,0.05585081,0.00006741521,0.00041827714],"study_design_scores_gemma":[0.000584291,0.00002632645,0.0000332702,0.000080874874,0.00001777744,0.0000159091,0.000031339612,0.0052237078,0.9116853,0.077430606,0.0043635354,0.00050708366],"about_ca_topic_score_codex":0.00026801674,"about_ca_topic_score_gemma":0.000011892069,"teacher_disagreement_score":0.34028208,"about_ca_system_score_codex":0.0003002802,"about_ca_system_score_gemma":0.000069331385,"threshold_uncertainty_score":0.9998601},"labels":[],"label_agreement":null},{"id":"W2126421513","doi":"10.1002/pmic.201300079","title":"High pH reversed‐phase chromatography as a superior fractionation scheme compared to off‐gel isoelectric focusing for complex proteome analysis","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada); Public Health Agency of Canada; University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Fractionation; Chromatography; Isoelectric focusing; Peptide; Chemistry; Shotgun proteomics; Proteomics; Resolution (logic); Shotgun; Two-dimensional gel electrophoresis; Fraction (chemistry); Biochemistry; Enzyme","score_opus":0.020703627411906674,"score_gpt":0.3088294056669477,"score_spread":0.28812577825504104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126421513","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5675572,0.000021862714,0.42782593,0.0007081078,0.000013517036,0.0032008882,0.00014909104,0.00028817554,0.00023518362],"genre_scores_gemma":[0.449713,0.000017586286,0.5410651,0.00019674496,0.00012352897,0.008270421,0.00039649848,0.000050163722,0.0001669717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979479,0.000017139886,0.00060581835,0.0006660158,0.00027164645,0.00049151445],"domain_scores_gemma":[0.9982537,0.00006935568,0.00034821674,0.0006422806,0.00046931245,0.00021712626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014868389,0.0003394456,0.0005102086,0.00047081013,0.000442569,0.00017647154,0.00038447374,0.00020071909,0.00082241267],"category_scores_gemma":[0.000115294024,0.00037269856,0.0003277529,0.001504527,0.000061850194,0.00035414315,0.000089854,0.000269346,0.00008203585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011126469,0.00025483157,0.00032735628,0.0000814343,0.00022443991,4.582854e-7,0.00006765187,0.00024328593,0.99451,0.0009390924,0.00062998914,0.0026102287],"study_design_scores_gemma":[0.0018314427,0.00012732457,0.00026643364,0.00004245209,0.00024051582,0.000009020794,0.000086558204,0.044662155,0.9287319,0.009962323,0.013337414,0.0007024603],"about_ca_topic_score_codex":0.00041352765,"about_ca_topic_score_gemma":0.000015463696,"teacher_disagreement_score":0.11784425,"about_ca_system_score_codex":0.00025924196,"about_ca_system_score_gemma":0.00008487635,"threshold_uncertainty_score":0.9998725},"labels":[],"label_agreement":null},{"id":"W2127066954","doi":"10.1002/pmic.200900627","title":"A ubiquitin and ubiquitin‐like protein spectral library","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Ubiquitin; Computational biology; Proteomics; Chemistry; Cell biology; Biology; Biochemistry","score_opus":0.007862528649154108,"score_gpt":0.23577313492769345,"score_spread":0.22791060627853935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127066954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9344707,0.00022178893,0.02269917,0.0040153204,0.000012690109,0.0012829099,0.00007289067,0.0010527446,0.036171794],"genre_scores_gemma":[0.56497276,0.00010540989,0.4305876,0.00052503735,0.00023880374,0.0005160713,0.00004356231,0.00004868813,0.0029621022],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987955,0.000009248586,0.0002881472,0.00042181928,0.000116647425,0.00036865703],"domain_scores_gemma":[0.9992741,0.0000147032215,0.00013345903,0.0004106872,0.000022091514,0.00014495662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006719525,0.00023077296,0.00020575232,0.000046110832,0.00015846848,0.00009792184,0.00026904966,0.00016506136,0.0002646368],"category_scores_gemma":[0.000018053977,0.0002385091,0.00006445289,0.00012258123,0.00008005862,0.000279487,0.00010401205,0.0003697205,0.000018249117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006556526,0.000095273695,0.0002037914,0.00006779955,0.000007999924,0.000008888118,0.00008178811,0.000003031714,0.92744756,0.06299322,0.00035866967,0.008666422],"study_design_scores_gemma":[0.00029081973,0.000058981877,0.00009324683,0.00006748267,0.00000711788,0.000030323197,0.000026056705,0.00026721306,0.8836291,0.10644005,0.008789708,0.00029990633],"about_ca_topic_score_codex":0.0000053690806,"about_ca_topic_score_gemma":7.180995e-7,"teacher_disagreement_score":0.4078884,"about_ca_system_score_codex":0.00003547409,"about_ca_system_score_gemma":0.0000502504,"threshold_uncertainty_score":0.9726119},"labels":[],"label_agreement":null},{"id":"W2127112630","doi":"10.1186/1477-5956-6-21","title":"Deciphering animal development through proteomics: requirements and prospects","year":2008,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Proteome; Proteomics; Computational biology; Morphogenesis; Gastrulation; Embryonic stem cell; Neuroscience; Bioinformatics; Genetics; Gene","score_opus":0.04015645436505585,"score_gpt":0.30168449945862347,"score_spread":0.26152804509356764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127112630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95911,0.000067212415,0.032365657,0.00010191988,0.000012413672,0.00076744694,0.0000024693977,0.00022887204,0.007343978],"genre_scores_gemma":[0.5603591,0.00003123319,0.4385832,0.000025550436,0.00002905534,0.0007027237,9.233732e-7,0.000012104177,0.0002560841],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983175,0.0000029333169,0.0002659861,0.0005952472,0.00037936057,0.0004389744],"domain_scores_gemma":[0.999298,0.000008258098,0.00012742543,0.0003453984,0.000099703924,0.000121220335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020992165,0.00017037783,0.00013878015,0.000041064617,0.0009348982,0.000060285096,0.00043927692,0.0000524501,0.000057420617],"category_scores_gemma":[0.00006933667,0.00016278536,0.000018725876,0.00037017578,0.0006540366,0.00058644183,0.00034198823,0.00016823331,0.000018424216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012837475,0.00003651917,0.0036133896,0.000038270144,0.0000025506406,0.0000043157297,0.000537336,0.0000030588492,0.99294615,0.0017455689,0.0000059824124,0.0010540118],"study_design_scores_gemma":[0.00018701238,0.000024232539,0.0011842045,0.000053333595,0.0000016253407,0.000056599816,0.00002825954,0.00013207522,0.99217397,0.0032929208,0.0026323756,0.00023340619],"about_ca_topic_score_codex":0.0000101728065,"about_ca_topic_score_gemma":0.0000011133793,"teacher_disagreement_score":0.40621752,"about_ca_system_score_codex":0.00018208975,"about_ca_system_score_gemma":0.00023600888,"threshold_uncertainty_score":0.71905756},"labels":[],"label_agreement":null},{"id":"W2127325419","doi":"10.1093/bioinformatics/bti439","title":"pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry","year":2005,"lang":"en","type":"article","venue":"Computer applications in the biosciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Usability; Software; XML; Database; Tandem mass spectrometry; Proteomics; Identification (biology); Database search engine; Tandem mass tag; Data mining; Mass spectrometry; Information retrieval; Quantitative proteomics; Programming language; Operating system; Chemistry; Search engine; Chromatography; Biology","score_opus":0.01994045347924747,"score_gpt":0.2977135505692231,"score_spread":0.27777309708997566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127325419","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040917017,0.000071438524,0.95677346,0.0003884483,0.00001059525,0.0011753188,0.00009885269,0.00043626424,0.0001285992],"genre_scores_gemma":[0.44440582,0.0000063399816,0.55337656,0.00002745415,0.00011078741,0.0019681146,0.000055595145,0.000008906731,0.00004040328],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987743,0.000014364432,0.00031753333,0.00047098045,0.00019096749,0.0002318756],"domain_scores_gemma":[0.9990196,0.00016262913,0.00017314938,0.00054545456,0.000054064683,0.000045087723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527897,0.00013494659,0.000121676065,0.00011275682,0.00048710656,0.00016817957,0.0007846344,0.00005738823,0.0000025269546],"category_scores_gemma":[0.000017861246,0.00010620231,0.000035492914,0.00049063296,0.00016662208,0.00019700921,0.00010303238,0.00014208465,0.0000042077186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050052963,0.00019416121,0.0007010991,0.00021139083,0.000008925666,1.976033e-7,0.00032960842,0.00033055554,0.9520794,0.032227796,0.0002059554,0.013705904],"study_design_scores_gemma":[0.00065204815,0.00004653412,0.0016137498,0.00024073606,0.000033360353,0.000050657607,0.0008353201,0.6595482,0.30703732,0.009716451,0.019561362,0.0006642634],"about_ca_topic_score_codex":0.000013176151,"about_ca_topic_score_gemma":0.0000069015327,"teacher_disagreement_score":0.65921766,"about_ca_system_score_codex":0.00010236259,"about_ca_system_score_gemma":0.000033291202,"threshold_uncertainty_score":0.43308043},"labels":[],"label_agreement":null},{"id":"W2127896250","doi":"10.1586/epr.09.97","title":"Isolation of cell surface proteins for mass spectrometry-based proteomics","year":2010,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Biotinylation; Proteomics; Cell; Glycoprotein; Chemistry; Ultracentrifuge; Mass spectrometry; Biomolecule; Cell membrane; Computational biology; Chromatography; Nanotechnology; Cell biology; Biochemistry; Biology; Materials science","score_opus":0.011869245239827318,"score_gpt":0.30366129146250914,"score_spread":0.29179204622268184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127896250","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023360787,0.002028253,0.9682731,0.0004923814,0.000045346085,0.004541411,0.00018030277,0.00009746232,0.0009809495],"genre_scores_gemma":[0.015934661,0.0026500004,0.97863173,0.00012360586,0.00013850279,0.0021975252,0.000107002576,0.00007097461,0.00014598684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814177,0.000017853406,0.00089273165,0.00041660812,0.0002374671,0.00029359545],"domain_scores_gemma":[0.9975323,0.000083846375,0.0009741093,0.0009414081,0.0003789951,0.00008931005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004488286,0.00029077087,0.0006066592,0.000056806195,0.00008515818,0.0000126890145,0.0005180008,0.00023376128,0.00019698434],"category_scores_gemma":[0.00023105218,0.0002778887,0.00030710292,0.00026567627,0.00012398064,0.000107734886,0.00005340517,0.00038114286,0.0000030874135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056832952,0.00015818291,0.000063982574,0.006483387,0.000010055318,1.3168038e-7,0.000021830141,0.000015037883,0.9913582,0.0016034018,0.00014880137,0.0000801338],"study_design_scores_gemma":[0.00045491126,0.00009671928,0.0000018564234,0.0013507899,0.000023592453,0.0000015701842,0.000009089464,0.0014575493,0.9923934,0.0020930686,0.0018342545,0.00028320728],"about_ca_topic_score_codex":0.000020531284,"about_ca_topic_score_gemma":0.0000030168446,"teacher_disagreement_score":0.010358634,"about_ca_system_score_codex":0.00006501851,"about_ca_system_score_gemma":0.0002032711,"threshold_uncertainty_score":0.99996734},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2128381498","doi":"10.1186/s12916-014-0156-8","title":"Towards identification of true cancer biomarkers","year":2014,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Medicine; Identification (biology); Cancer; Computational biology; Internal medicine","score_opus":0.021719623916721758,"score_gpt":0.32750148863544043,"score_spread":0.30578186471871865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128381498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18763654,0.0004854701,0.77360183,0.0012496756,0.00008575508,0.00018758498,0.000029233584,0.00016530506,0.036558613],"genre_scores_gemma":[0.9800416,0.00019808885,0.018476281,0.00005603572,0.00021243574,0.0001620618,0.00003094145,0.000013240064,0.0008092908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938935,0.0000061761025,0.00026514614,0.00014765546,0.00011292698,0.000078722915],"domain_scores_gemma":[0.99934936,0.000041343126,0.00016864885,0.00034213043,0.00005865389,0.000039872408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017485852,0.00006532869,0.00012462563,0.000028816026,0.000027915667,0.0000017715538,0.0001411517,0.00004757671,0.0004789765],"category_scores_gemma":[0.00013706439,0.000053430555,0.000026100426,0.00009604099,0.00009684437,0.000022553404,0.000018087288,0.00004897203,0.000003612315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014355913,0.000016820624,0.0015065054,0.00016192529,0.000010461864,4.6039403e-8,0.000055733966,0.000015454516,0.9495655,0.0072897207,0.0013196438,0.040043868],"study_design_scores_gemma":[0.00039709243,0.000020053865,0.00088571955,0.00012676368,0.00003276283,0.0000013659139,0.00006606532,0.0014816952,0.9665283,0.012521031,0.017848121,0.00009102971],"about_ca_topic_score_codex":0.00014495908,"about_ca_topic_score_gemma":0.000012183188,"teacher_disagreement_score":0.79240507,"about_ca_system_score_codex":0.000025528228,"about_ca_system_score_gemma":0.000023025135,"threshold_uncertainty_score":0.52444565},"labels":[],"label_agreement":null},{"id":"W2128605720","doi":"10.1016/j.celrep.2014.04.009","title":"High-Resolution Mapping of Protein Concentration Reveals Principles of Proteome Architecture and Adaptation","year":2014,"lang":"en","type":"article","venue":"Cell Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Weizmann Institute of Science","keywords":"Proteome; Adaptation (eye); Cell biology; Biology; Cytosol; Proteomics; Protein subcellular localization prediction; Computational biology; Chemistry; Biophysics; Biochemistry; Gene; Enzyme","score_opus":0.015588272233439254,"score_gpt":0.22998809612907267,"score_spread":0.21439982389563342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128605720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77266985,0.00006450889,0.2244941,0.000034830915,0.000006497954,0.000462813,0.00000454488,0.00003954021,0.0022233226],"genre_scores_gemma":[0.8380064,0.000010172515,0.16149682,0.000002903952,0.00002736348,0.00014985469,0.00003044218,0.000009287539,0.00026679493],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990967,0.000013106859,0.00048163984,0.00019766511,0.00011718559,0.0000936901],"domain_scores_gemma":[0.9988148,0.000019192918,0.0007775957,0.00026818362,0.00008825312,0.000031960746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019451861,0.0000839954,0.00015287963,0.000023566468,0.00004123834,0.0000056799727,0.000040603747,0.000080280275,0.00001386763],"category_scores_gemma":[0.00008130204,0.00008231078,0.000027712882,0.000063368985,0.0000614541,0.000043153348,0.000027552765,0.00008436585,1.4981174e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007906118,0.000024776373,0.00047944035,0.00035681622,0.000003838201,8.5386256e-7,0.00012159791,0.00084829144,0.9929865,0.0025972424,0.0000022216236,0.002570508],"study_design_scores_gemma":[0.000097085016,0.000022082708,0.00024631794,0.00015582403,0.000007538959,0.000010965554,0.000025530928,0.0014071645,0.9814939,0.015092411,0.0013592856,0.000081919454],"about_ca_topic_score_codex":0.000027798756,"about_ca_topic_score_gemma":0.0000016700183,"teacher_disagreement_score":0.065336525,"about_ca_system_score_codex":0.000019343566,"about_ca_system_score_gemma":0.000024294855,"threshold_uncertainty_score":0.3356536},"labels":[],"label_agreement":null},{"id":"W2128789834","doi":"10.1373/clinchem.2009.127019","title":"The Bottleneck in the Cancer Biomarker Pipeline and Protein Quantification through Mass Spectrometry–Based Approaches: Current Strategies for Candidate Verification","year":2009,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Biomarker discovery; Analyte; Selected reaction monitoring; Biomarker; Multiplex; Quantitative proteomics; Computer science; Chromatography; Mass spectrometry; Computational biology; Chemistry; Proteomics; Tandem mass spectrometry; Bioinformatics; Biology","score_opus":0.21371482141653472,"score_gpt":0.4544571271764846,"score_spread":0.2407423057599499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128789834","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012098111,0.9419975,0.053713404,0.00079302466,0.00003635961,0.0020233942,0.00037197553,0.00009011507,0.00085319096],"genre_scores_gemma":[0.0008529932,0.9820646,0.008038624,0.000025434723,0.00039346743,0.0073113246,0.0010341374,0.000056484845,0.00022295577],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970521,0.00008110448,0.001383215,0.0009123518,0.00020805841,0.0003632226],"domain_scores_gemma":[0.99679494,0.0007975297,0.0009703261,0.0012961964,0.000076759905,0.00006423745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010736459,0.00045172832,0.00080192194,0.000019115098,0.00026054078,0.00020878468,0.0009376413,0.0005374089,0.000018060395],"category_scores_gemma":[0.00026821924,0.0002830273,0.00036637494,0.00031859032,0.0003233747,0.00007640753,0.00004431579,0.00099724,0.0000020454067],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006446371,0.00032692004,0.000013065432,0.01280611,0.00005208671,7.0436244e-7,0.000017445553,0.0000034063473,0.0008921262,0.003074815,0.0010248626,0.98172396],"study_design_scores_gemma":[0.00033061256,0.000010955339,0.000002151788,0.0026059232,0.00023634236,0.0000025325605,0.00009080364,0.0009559844,0.0024101753,0.007126084,0.985807,0.00042143924],"about_ca_topic_score_codex":0.000009001766,"about_ca_topic_score_gemma":0.000006124814,"teacher_disagreement_score":0.98478216,"about_ca_system_score_codex":0.00015226958,"about_ca_system_score_gemma":0.00047046284,"threshold_uncertainty_score":0.9999622},"labels":[],"label_agreement":null},{"id":"W2129351949","doi":"10.1186/1477-5956-10-68","title":"A feedback framework for protein inference with peptides identified from tandem mass spectra","year":2012,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatoon City Hospital; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inference; Identification (biology); Computer science; Tandem mass spectrometry; Iterative and incremental development; Proteomics; Peptide; Computational biology; Data mining; Machine learning; Artificial intelligence; Mass spectrometry; Biology; Chemistry; Biochemistry; Chromatography","score_opus":0.023788838285567247,"score_gpt":0.3071759030604714,"score_spread":0.2833870647749041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129351949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34974417,0.000044767916,0.64704204,0.00019182518,0.000019436604,0.0010900826,0.0000403884,0.00019171626,0.0016356012],"genre_scores_gemma":[0.52749324,0.000003381172,0.4701471,0.000022111539,0.00012253677,0.0018996741,0.0000049114547,0.000015713575,0.00029131363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981776,0.000005852665,0.00023607234,0.00053131033,0.00039231684,0.0006568596],"domain_scores_gemma":[0.99868816,0.00008029423,0.00021030921,0.0006423912,0.00015829848,0.00022053422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029860783,0.00020649469,0.00018539635,0.000056131004,0.0004420221,0.00017771029,0.00075141585,0.00010684962,0.00019849447],"category_scores_gemma":[0.0003162568,0.00017219175,0.000047029687,0.00050968013,0.0005146551,0.00067682774,0.00010755792,0.00029909314,0.00003869335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025019292,0.000049299266,0.0023311656,0.000033708788,0.0000051705397,2.808411e-7,0.000154046,0.0000062167014,0.96113163,0.035359375,0.0000064767155,0.0008976195],"study_design_scores_gemma":[0.00014456901,0.000025614738,0.00047215732,0.00015572262,0.000007869213,0.0000015453116,0.00008201928,0.00015151837,0.8088433,0.18924588,0.00062524603,0.00024452308],"about_ca_topic_score_codex":0.000029777095,"about_ca_topic_score_gemma":0.00000339708,"teacher_disagreement_score":0.1777491,"about_ca_system_score_codex":0.00012906035,"about_ca_system_score_gemma":0.00014126378,"threshold_uncertainty_score":0.7021776},"labels":[],"label_agreement":null},{"id":"W2129585389","doi":"10.1373/clinchem.2009.136283","title":"Nipple Aspirate Fluid Proteome of Healthy Females and Patients with Breast Cancer","year":2010,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Proteome; Breast cancer; Cancer; Blood proteins; Proteomics; Biology; Membrane protein; Chemistry; Bioinformatics; Medicine; Biochemistry; Internal medicine; Gene; Membrane","score_opus":0.021831398331297047,"score_gpt":0.34039558512173645,"score_spread":0.3185641867904394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129585389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978851,0.000031559048,0.00007370659,0.0004023263,0.000013899049,0.00016849033,0.0003600935,0.00006916795,0.0009956385],"genre_scores_gemma":[0.99236065,0.00006520331,0.006789175,0.000082444596,0.00017016288,0.00021552303,0.000054939323,0.000026587266,0.00023529155],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998905,0.0000039442025,0.00043754114,0.0003512282,0.00011880397,0.00018346192],"domain_scores_gemma":[0.99890894,0.000068220295,0.00026876948,0.00043052572,0.00015357816,0.00016994614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000860949,0.00014542937,0.00025591566,0.0000057197767,0.0000657723,0.00001089287,0.00018483211,0.00022656645,0.00040363922],"category_scores_gemma":[0.00005163206,0.00012021648,0.000051609553,0.000063058906,0.00032265758,0.000048115893,0.00008479666,0.0004966918,0.000001792836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019387707,0.00031467478,0.79160994,0.0003664178,0.000020659298,5.8210156e-7,0.000006112655,7.9219507e-7,0.20294863,0.000057007033,0.00010612326,0.004375178],"study_design_scores_gemma":[0.0019615456,0.00007936515,0.054326348,0.0001610712,0.000045691537,0.000014191485,0.000016895267,0.000059947022,0.9346937,0.0010229517,0.007155405,0.00046288877],"about_ca_topic_score_codex":0.000014482113,"about_ca_topic_score_gemma":0.000005056934,"teacher_disagreement_score":0.7372836,"about_ca_system_score_codex":0.000012783145,"about_ca_system_score_gemma":0.00007990061,"threshold_uncertainty_score":0.49022856},"labels":[],"label_agreement":null},{"id":"W2129668934","doi":"10.1093/bioinformatics/btt274","title":"A combinatorial approach to the peptide feature matching problem for label-free quantification","year":2013,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bipartite graph; Matching (statistics); Computer science; Feature (linguistics); Set (abstract data type); Function (biology); Software; Graph; Feature matching; Data mining; Pattern recognition (psychology); Algorithm; Artificial intelligence; Theoretical computer science; Feature extraction; Mathematics; Statistics","score_opus":0.019295810854236137,"score_gpt":0.26114302299562014,"score_spread":0.241847212141384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129668934","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061546834,0.000019883792,0.9457263,0.0036831058,0.00006999106,0.002424648,0.00014975553,0.00031051342,0.041461132],"genre_scores_gemma":[0.02381947,0.00000824032,0.9712358,0.00028871844,0.00017046722,0.0030811005,0.00018989212,0.000025949052,0.0011803373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992573,0.0000033271,0.00027099988,0.000119831806,0.0001374625,0.00021107981],"domain_scores_gemma":[0.99892026,0.000053256346,0.00016317867,0.0006752726,0.0001242922,0.00006371004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013631237,0.00013025715,0.00011366266,0.000023424536,0.00025770362,0.00013825927,0.00055128505,0.00010968158,0.0000110722885],"category_scores_gemma":[0.00005045469,0.0000932367,0.00004833007,0.0001190689,0.000023991355,0.00019189387,0.00011730921,0.00016459641,0.000057359404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032983186,0.0002565872,0.000030147432,0.0009419435,0.00004568462,3.4162984e-8,0.0033793023,0.00044004654,0.025396409,0.7038449,0.24638171,0.019250207],"study_design_scores_gemma":[0.0016920179,0.00007647418,0.00003108496,0.0001308875,0.00005999515,0.000015261758,0.002812174,0.10927071,0.057452686,0.3504748,0.47716668,0.00081721495],"about_ca_topic_score_codex":0.00001843786,"about_ca_topic_score_gemma":0.0000014642277,"teacher_disagreement_score":0.35337013,"about_ca_system_score_codex":0.000047743193,"about_ca_system_score_gemma":0.000024407256,"threshold_uncertainty_score":0.38020822},"labels":[],"label_agreement":null},{"id":"W2130706354","doi":"10.1093/bioinformatics/bth092","title":"TANDEM: matching proteins with tandem mass spectra","year":2004,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2606,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; University of Chicago","keywords":"Tandem; Matching (statistics); Tandem repeat; Tandem mass spectrometry; Computer science; Computational biology; Chemistry; Biology; Genetics; Mass spectrometry; Chromatography; Mathematics; Genome; Statistics; Materials science","score_opus":0.01073187936705139,"score_gpt":0.2430020231674446,"score_spread":0.2322701438003932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130706354","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04117195,0.00001851368,0.9030672,0.00026425542,0.00000871055,0.00031819675,0.00001761064,0.00041368633,0.05471988],"genre_scores_gemma":[0.20126976,0.00003572869,0.7980249,0.00010493494,0.000060548013,0.00012557243,0.000027391605,0.000024240564,0.00032692408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991833,0.0000011921636,0.0002802607,0.0001103555,0.00017966873,0.00024523152],"domain_scores_gemma":[0.99935037,0.000010050002,0.00016460878,0.00035701852,0.000037108806,0.00008084349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056710847,0.00015900235,0.000138786,0.000029187368,0.00015731037,0.000057891742,0.00020560644,0.0000939029,0.00008316615],"category_scores_gemma":[0.0000066971415,0.0001285405,0.000040588628,0.00011919249,0.00005266445,0.0002144014,0.00003402944,0.00021886977,0.000050272276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012974865,0.00069815083,0.003965604,0.0018313112,0.00032132553,0.00006755292,0.007887445,0.012988905,0.44106695,0.50614864,0.00082827575,0.0240661],"study_design_scores_gemma":[0.0017049923,0.000115287214,0.00005613579,0.00039184798,0.00004413615,0.00012377741,0.0012195965,0.0017980867,0.83830535,0.13858072,0.016823936,0.0008360979],"about_ca_topic_score_codex":0.00001173502,"about_ca_topic_score_gemma":0.0000065872614,"teacher_disagreement_score":0.39723843,"about_ca_system_score_codex":0.00013299387,"about_ca_system_score_gemma":0.00007424059,"threshold_uncertainty_score":0.52417296},"labels":[],"label_agreement":null},{"id":"W2131947487","doi":"10.1098/rstb.2012.0078","title":"Protein abundance is key to distinguish promiscuous from functional phosphorylation based on evolutionary information","year":2012,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Phosphorylation; Biology; Protein phosphorylation; Evolutionary biology; Function (biology); Protein function; Conserved sequence; Abundance (ecology); Saccharomyces cerevisiae; Posttranslational modification; Computational biology; Genetics; Ecology; Biochemistry; Gene; Protein kinase A; Peptide sequence; Enzyme","score_opus":0.0334075626095113,"score_gpt":0.2606116993403046,"score_spread":0.2272041367307933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131947487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51186895,0.000084498104,0.45623618,0.023383314,0.0001601921,0.000968837,0.00073119806,0.00027768742,0.006289108],"genre_scores_gemma":[0.9595371,0.0000036067822,0.039232384,0.00069757336,0.0001650267,0.00028205957,0.000024255449,0.0000045407405,0.00005345012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987824,0.000025494082,0.00030195282,0.00024522617,0.00038782656,0.00025711613],"domain_scores_gemma":[0.9992765,0.00013752448,0.0001520578,0.000233273,0.0000831411,0.000117484204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019833175,0.00015084847,0.00013999926,0.000014407965,0.0007183173,0.000024506453,0.0003729132,0.0001802282,0.0006285814],"category_scores_gemma":[0.000101215795,0.000095775504,0.00025429713,0.0003370984,0.0004723204,0.00015776453,0.00003088678,0.00029361577,0.000020317359],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025533596,0.011484457,0.15625961,0.0005495666,0.000502512,4.772731e-7,0.004644666,0.3039007,0.2459933,0.19226544,0.007596023,0.07424989],"study_design_scores_gemma":[0.0014622994,0.0008344693,0.061603796,0.0004897704,0.00011757301,0.0000025507336,0.00036979557,0.20036659,0.3628437,0.34296066,0.027260887,0.0016879292],"about_ca_topic_score_codex":0.00006856232,"about_ca_topic_score_gemma":3.3795786e-7,"teacher_disagreement_score":0.4476681,"about_ca_system_score_codex":0.00011161656,"about_ca_system_score_gemma":0.000043959804,"threshold_uncertainty_score":0.6882525},"labels":[],"label_agreement":null},{"id":"W2131950744","doi":"10.1074/mcp.h900006-mcp200","title":"Report on the Barbados Workshop","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"MEDLINE; Chemistry; Biochemistry","score_opus":0.011098861683777711,"score_gpt":0.2526060434827529,"score_spread":0.24150718179897518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131950744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60120845,0.00013073634,0.36310458,0.006147856,0.000025388572,0.0008438926,0.0000083825735,0.000347129,0.02818362],"genre_scores_gemma":[0.9290722,0.000026030244,0.0662992,0.0015097404,0.00011956274,0.00043177741,0.00006447486,0.000057947764,0.0024190466],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850494,0.000022076585,0.0003533688,0.00049334083,0.00027223886,0.0003540106],"domain_scores_gemma":[0.9981745,0.000035186527,0.00019692341,0.0014319534,0.00006429583,0.00009714613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023417031,0.0002640484,0.00018632479,0.000034424716,0.00023016741,0.00007583677,0.00053021964,0.00019441023,0.00019045295],"category_scores_gemma":[0.00011853022,0.00021255929,0.00017785867,0.00018590818,0.000070116854,0.000042728872,0.00007155451,0.0005599887,0.000056638604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017364333,0.00008168192,0.000013167444,0.0000066315242,0.000012902808,0.00020036979,0.00001848934,0.00016493686,0.9611971,0.036355257,0.0003367191,0.001595422],"study_design_scores_gemma":[0.00012606586,0.000022352015,0.0000037432592,0.00003569789,0.000015727383,0.00005172253,0.000015286614,0.0005158527,0.9505969,0.034796532,0.013567353,0.00025276118],"about_ca_topic_score_codex":0.000003543067,"about_ca_topic_score_gemma":2.5879714e-7,"teacher_disagreement_score":0.3278638,"about_ca_system_score_codex":0.000084199484,"about_ca_system_score_gemma":0.000044786186,"threshold_uncertainty_score":0.86679167},"labels":[],"label_agreement":null},{"id":"W2132098080","doi":"10.1186/gm460","title":"Novel approaches for the identification of biomarkers of aggressive prostate cancer","year":2013,"lang":"en","type":"review","venue":"Genome Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Prostate cancer; Identification (biology); Biomarker discovery; Computational biology; Epigenetics; Medicine; Bioinformatics; Proteomics; Disease; Omics; Biomarker; Cancer; Human genetics; Biology; Pathology; Internal medicine; Gene; Genetics","score_opus":0.09875800309770022,"score_gpt":0.36224489801040327,"score_spread":0.26348689491270305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132098080","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006792002,0.96908444,0.027711954,0.0001681661,0.000032008422,0.002026847,0.000769584,0.000019218345,0.00018099423],"genre_scores_gemma":[0.000041752748,0.9870373,0.0044158488,0.0000046299,0.00016649712,0.006949931,0.00041717125,0.000041847918,0.00092503463],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985575,0.0000065223435,0.0008901111,0.00026901258,0.00013733932,0.00013948555],"domain_scores_gemma":[0.99572426,0.00019810542,0.0032992521,0.0005955996,0.00015042406,0.00003238439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023336557,0.00021293673,0.00078778405,0.00006303271,0.000054549448,0.0000035676849,0.0004451789,0.00013952429,0.000100435005],"category_scores_gemma":[0.000112429785,0.00012182138,0.00016678241,0.000189676,0.00030902956,0.000020438207,0.00005748573,0.00013494943,0.0000011515119],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057012953,0.000028525976,6.4601886e-7,0.021469431,0.00027042703,4.9691767e-8,0.000121140336,0.000006107274,0.01584055,0.00042629044,0.00017754373,0.9616536],"study_design_scores_gemma":[0.0002472014,0.000020368854,0.0000013223855,0.005972756,0.0010523823,0.000005768995,0.00013399546,0.00008930715,0.004734916,0.00051849737,0.9870465,0.00017698186],"about_ca_topic_score_codex":0.00006400559,"about_ca_topic_score_gemma":0.0000013018571,"teacher_disagreement_score":0.986869,"about_ca_system_score_codex":0.00006117584,"about_ca_system_score_gemma":0.00009598638,"threshold_uncertainty_score":0.49677318},"labels":[],"label_agreement":null},{"id":"W2132744522","doi":"10.1016/j.cell.2015.04.051","title":"Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis","year":2015,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":297,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Biology; Computational biology; Proteomics; Protein subcellular localization prediction; Pipeline (software); Genomics; Genome; Genetics; Computer science; Gene","score_opus":0.010012473720695414,"score_gpt":0.2430906649104264,"score_spread":0.233078191189731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132744522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8720063,0.00023711035,0.08428467,0.0001070513,0.000012939833,0.00015827408,0.00020992428,0.0008548707,0.04212884],"genre_scores_gemma":[0.9272362,0.0000084266185,0.07122326,0.000024099627,0.00003273755,0.000048684833,0.00023728117,0.000020731897,0.0011686012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938935,0.0000050320677,0.00013861524,0.0002463922,0.0000789042,0.00014171598],"domain_scores_gemma":[0.9994319,0.000011804037,0.00009141494,0.00030746055,0.000048783095,0.00010861806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003717301,0.00010685639,0.00013488387,0.000041672618,0.00004792819,0.000043959677,0.00012270683,0.00005557906,0.0000618904],"category_scores_gemma":[0.000005808631,0.0001117503,0.000042523785,0.00018666605,0.000038774746,0.000059509122,0.000078257115,0.000101420985,0.000019559551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008922947,0.00013916285,0.004357043,0.000032345677,0.000029355175,0.0000057763755,0.0001545813,0.00026542638,0.9934909,0.00003573433,0.0005594703,0.0009212919],"study_design_scores_gemma":[0.00024358458,0.000005004662,0.00005927424,0.0000066789785,0.0001181076,9.615676e-7,0.00019968383,0.22036183,0.7745809,0.0019381196,0.0023036387,0.00018221728],"about_ca_topic_score_codex":0.00012740778,"about_ca_topic_score_gemma":0.0000129334,"teacher_disagreement_score":0.2200964,"about_ca_system_score_codex":0.00008979357,"about_ca_system_score_gemma":0.000017607344,"threshold_uncertainty_score":0.4557045},"labels":[],"label_agreement":null},{"id":"W2132987046","doi":"10.1002/pmic.200700088","title":"Development of BIATECH‐54 standard mixtures for assessment of protein identification and relative expression","year":2007,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences","keywords":"Shewanella oneidensis; Proteome; Chromatography; Chemistry; Protein expression; Proteomics; Biological system; Computational biology; Analytical Chemistry (journal); Biochemistry; Biology; Bacteria; Genetics","score_opus":0.06781586949519171,"score_gpt":0.4079833855218864,"score_spread":0.3401675160266947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132987046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036197004,0.31369781,0.68128395,0.0000043038685,0.000010106533,0.0040308326,0.0003822818,0.000049233673,0.00017947902],"genre_scores_gemma":[0.0000688414,0.3508814,0.6450462,5.9235117e-7,0.00002151443,0.0035947652,0.00022143702,0.000044097815,0.00012115026],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978652,0.000018831472,0.00127118,0.00043397842,0.0002245039,0.00018630686],"domain_scores_gemma":[0.9973441,0.000095003415,0.0018526254,0.0004325436,0.00022361736,0.000052140855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005852644,0.00031173474,0.0009366011,0.00013462793,0.00011088111,0.0000165757,0.00025864207,0.0004451183,0.000010719655],"category_scores_gemma":[0.00007920442,0.00027494854,0.00017177347,0.00014168136,0.000089105066,0.00008021864,0.00013683818,0.00032027505,2.9239e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037213962,0.000085622734,0.0000023448115,0.03750451,0.00008827875,1.7652266e-7,0.0001263672,8.2225745e-7,0.2442057,0.005288711,0.000009544528,0.7126507],"study_design_scores_gemma":[0.00017496316,0.000022154121,4.630079e-7,0.008595491,0.000099570214,0.0000014999395,0.00001318404,0.0000157026,0.7020294,0.004520277,0.28427306,0.00025425543],"about_ca_topic_score_codex":0.000001696022,"about_ca_topic_score_gemma":9.626518e-7,"teacher_disagreement_score":0.71239644,"about_ca_system_score_codex":0.00022689767,"about_ca_system_score_gemma":0.00037707906,"threshold_uncertainty_score":0.99997026},"labels":[],"label_agreement":null},{"id":"W2133554582","doi":"10.1186/1471-2105-13-326","title":"A computational pipeline for the development of multi-marker bio-signature panels and ensemble classifiers","year":2012,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; Institute of Infection and Immunity; St. Paul's Hospital; Simon Fraser University; University of British Columbia; Prevention of Organ Failure","funders":"Astellas Pharma; Genome British Columbia; St. Paul's Foundation; Novartis Pharma; Genome Canada","keywords":"Pipeline (software); Computer science; Ensemble learning; Artificial intelligence; Machine learning; Random subspace method; Biomarker discovery; DNA microarray; Biomarker; Data mining; Big data; Receiver operating characteristic; Pattern recognition (psychology); Support vector machine; Proteomics; Biology; Gene","score_opus":0.04168584868854552,"score_gpt":0.2975414227229967,"score_spread":0.2558555740344512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133554582","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003764235,0.00013221959,0.9951841,0.000045003602,0.000015663178,0.00026895662,0.00005525063,0.000035093995,0.000499428],"genre_scores_gemma":[0.11628142,0.000013700429,0.8832306,0.000051245,0.000024802523,0.000109778084,0.00006564082,0.000008557554,0.00021421516],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993756,0.0000021305536,0.0003292778,0.00005283843,0.00008865293,0.00015151368],"domain_scores_gemma":[0.9993646,0.00020568859,0.00017489026,0.0001365516,0.000070115995,0.000048163765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659798,0.00009307176,0.000096753014,0.00001984544,0.00013783154,0.0000118330645,0.000102886326,0.000088771485,0.000014340838],"category_scores_gemma":[0.000038964325,0.00006530493,0.000034849916,0.00005204252,0.0000592266,0.00009304008,0.000050933468,0.00008701538,0.0000026059288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005076181,0.0013785783,0.023267904,0.008559163,0.00051857956,1.667881e-7,0.039138693,0.01406033,0.059389714,0.058486585,0.013578021,0.78111464],"study_design_scores_gemma":[0.00059915986,0.000005033359,0.0006685424,0.000045247943,0.000029902778,0.0000049381442,0.0014336242,0.90521175,0.062180225,0.0008114743,0.028817102,0.00019303053],"about_ca_topic_score_codex":4.359994e-7,"about_ca_topic_score_gemma":0.000001194008,"teacher_disagreement_score":0.89115137,"about_ca_system_score_codex":0.000021158046,"about_ca_system_score_gemma":0.000051455096,"threshold_uncertainty_score":0.26630577},"labels":[],"label_agreement":null},{"id":"W2133673374","doi":"10.1002/pmic.200701170","title":"Assessment of ProteoExtract subcellular fractionation kit reveals limited and incomplete enrichment of nuclear subproteome from frozen liver and heart tissue","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Cell fractionation; Proteome; Fractionation; Proteomics; Western blot; Cell nucleus; Nuclear protein; Subcellular localization; Biology; Centrifugation; Quantitative proteomics; Molecular biology; Chemistry; Biochemistry; Cell biology; Nucleus; Chromatography; Enzyme; Cytoplasm","score_opus":0.01406216900046784,"score_gpt":0.28191764613338505,"score_spread":0.2678554771329172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133673374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577518,0.0002349562,0.03930984,0.00046905616,0.0000083738005,0.0014114195,0.00014699371,0.000077112694,0.0005904452],"genre_scores_gemma":[0.64563566,0.00021606257,0.35385934,0.000047110938,0.000036975314,0.000099128825,0.00005347462,0.00001866319,0.00003358527],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865305,0.000028196524,0.00051784527,0.0003898423,0.00023436159,0.00017672378],"domain_scores_gemma":[0.99885416,0.000068199035,0.00046724788,0.00038092147,0.00014020584,0.000089276386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020048743,0.00020316629,0.0003682786,0.000077562225,0.00009629678,0.000028151973,0.00014826724,0.00018316226,0.00012586547],"category_scores_gemma":[0.000043127453,0.00021365217,0.00004833243,0.00011499592,0.00009310689,0.00017694921,0.000085520995,0.00027528594,0.000001923949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004034539,0.00014902027,0.0025667548,0.000103701044,0.000020566353,0.0000010730896,0.000083043065,0.000018611787,0.9918467,0.0025803968,0.000021865313,0.0025679697],"study_design_scores_gemma":[0.00069272594,0.00022627045,0.054010835,0.00016355443,0.000047677513,0.0000110031115,0.00004274118,0.00399553,0.912877,0.024981668,0.0026213515,0.00032963924],"about_ca_topic_score_codex":0.00017371273,"about_ca_topic_score_gemma":0.0000017927275,"teacher_disagreement_score":0.31454948,"about_ca_system_score_codex":0.000085345215,"about_ca_system_score_gemma":0.000036064474,"threshold_uncertainty_score":0.87124825},"labels":[],"label_agreement":null},{"id":"W2134472681","doi":"10.1093/bfgp/eln017","title":"Analysis of iTRAQ data using Mascot and Peaks quantification algorithms","year":2008,"lang":"en","type":"article","venue":"Briefings in Functional Genomics and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"National Science Foundation","keywords":"Mascot; Mass spectrometry; Software; Proteomics; Quantitative proteomics; Field (mathematics); Computer science; Peptide; Biology; Computational biology; Algorithm; Biological system; Chromatography; Chemistry; Biochemistry; Mathematics","score_opus":0.08991167801736605,"score_gpt":0.2938022252463098,"score_spread":0.20389054722894373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134472681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8108295,0.00030756203,0.18810484,0.00013588957,0.000011554362,0.0001687632,0.00028500115,0.000021333793,0.00013556468],"genre_scores_gemma":[0.6783492,0.0019188214,0.318736,0.00010963051,0.000070051196,0.00005089942,0.00064059556,0.00002992387,0.0000948833],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988708,0.000008015173,0.00039738632,0.00046618658,0.00011003198,0.00014758749],"domain_scores_gemma":[0.99912345,0.000056784458,0.00023387645,0.0004631196,0.00007039556,0.00005238075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020625789,0.0001386553,0.00026125793,0.00015980637,0.0001659234,0.000022461123,0.00017388666,0.00012019815,0.000029418556],"category_scores_gemma":[0.00003612933,0.00015849127,0.000041680094,0.00030451457,0.00016730864,0.00012967875,0.00019673498,0.00017288097,3.2599507e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019958123,0.00019824914,0.05398031,0.00015116429,0.00047840376,0.000004574444,0.00038171402,0.0079674,0.9177808,0.01193343,0.00008259325,0.006841751],"study_design_scores_gemma":[0.001208982,0.000038272996,0.03252492,0.000067255285,0.0006701396,0.00018634899,0.00014686523,0.8446691,0.10015479,0.009599785,0.009858519,0.00087499747],"about_ca_topic_score_codex":0.00046849056,"about_ca_topic_score_gemma":0.000023762428,"teacher_disagreement_score":0.83670175,"about_ca_system_score_codex":0.000055153472,"about_ca_system_score_gemma":0.000076978424,"threshold_uncertainty_score":0.64630866},"labels":[],"label_agreement":null},{"id":"W2134563544","doi":"10.1109/csb.2004.1332434","title":"SPIDER: software for protein identification from sequence tags with de novo sequencing error","year":2004,"lang":"en","type":"article","venue":"Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004.","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Software; Identification (biology); Sequence (biology); Computer science; Computational biology; Protein sequencing; DNA sequencing; Sequence assembly; Peptide sequence; Biology; Genetics; Programming language; DNA; Gene; Transcriptome","score_opus":0.03549132856981759,"score_gpt":0.2753646704719921,"score_spread":0.2398733419021745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134563544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11092666,0.00016772858,0.883888,0.00019881857,0.000081587124,0.0021153004,0.0008897309,0.00069342705,0.001038732],"genre_scores_gemma":[0.5757914,0.000007499173,0.42111483,0.00009013346,0.00021228733,0.0016646922,0.0006309094,0.00006907307,0.00041918116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996388,0.0000075506236,0.00143119,0.00066157954,0.0007390354,0.00077263],"domain_scores_gemma":[0.99592906,0.00007501566,0.0013286798,0.00036088325,0.0019991938,0.0003071423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039299627,0.0006028618,0.00057123,0.00021528009,0.0006004092,0.00060331536,0.0007156718,0.00038081614,0.000040307215],"category_scores_gemma":[0.00017501037,0.00058721507,0.00013163775,0.0005585771,0.00023113943,0.0011167654,0.00005536058,0.0004623245,0.00006974686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034130496,0.0006240064,0.0015430046,0.005684847,0.00047315794,0.000017846653,0.0053108125,0.7151078,0.16582075,0.0994555,0.0019301925,0.0036907939],"study_design_scores_gemma":[0.0065450803,0.0004650761,0.0001266928,0.0058798557,0.00031464052,0.00062067073,0.0042498005,0.5761903,0.21911815,0.1781784,0.004721899,0.0035894534],"about_ca_topic_score_codex":0.00026320535,"about_ca_topic_score_gemma":0.00002638099,"teacher_disagreement_score":0.46486473,"about_ca_system_score_codex":0.001516228,"about_ca_system_score_gemma":0.0014730226,"threshold_uncertainty_score":0.9996579},"labels":[],"label_agreement":null},{"id":"W2134708698","doi":"10.1161/circgenetics.110.957761","title":"Clinical Proteomics","year":2012,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Computer science; Computational biology; Chemistry; Biology","score_opus":0.03784715286279775,"score_gpt":0.31278860332201125,"score_spread":0.2749414504592135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134708698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43042597,0.0041218414,0.5576705,0.000020485586,0.00011976688,0.00029437733,0.000009237529,0.000217872,0.007119976],"genre_scores_gemma":[0.8715355,0.00047165697,0.12676555,0.000043838474,0.0009006524,0.00014217375,0.000044688957,0.000040092178,0.000055858163],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987684,0.000032740605,0.00038149886,0.00026396642,0.00025597634,0.00029741492],"domain_scores_gemma":[0.9986855,0.000027620155,0.000094898845,0.0009338102,0.00009438641,0.00016381641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049855653,0.00014474196,0.0002461206,0.000028254919,0.0001157766,0.000028317609,0.00016910663,0.0002080521,0.000107645734],"category_scores_gemma":[0.000047360125,0.0001599979,0.0005933884,0.00011981234,0.00006588355,0.000114923525,0.00006778804,0.00020946312,0.0000758523],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001620522,0.00038603338,0.61549914,0.00018800887,0.0013988616,0.0000029975265,0.00019696676,0.016051156,0.07248349,0.009093124,0.00035051347,0.28433347],"study_design_scores_gemma":[0.0014739165,0.00001743043,0.07913515,0.000049029502,0.0007239132,0.000119547345,0.00011810813,0.0069994577,0.20052627,0.0060499306,0.70343125,0.0013560202],"about_ca_topic_score_codex":0.00000213473,"about_ca_topic_score_gemma":1.1847307e-7,"teacher_disagreement_score":0.7030807,"about_ca_system_score_codex":0.00006190846,"about_ca_system_score_gemma":0.000027952012,"threshold_uncertainty_score":0.6524525},"labels":[],"label_agreement":null},{"id":"W2134773344","doi":"10.1093/bioinformatics/btn385","title":"An integrated approach for automating validation of extracted ion chromatographic peaks","year":2008,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; National Center for Research Resources; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Computer science; Data mining; Software; Chromatography; Chemistry; Programming language","score_opus":0.023520908674632343,"score_gpt":0.27449157440997285,"score_spread":0.2509706657353405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134773344","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3727931,0.0000065756362,0.6246712,0.0000040997847,0.0000061057594,0.00023756213,0.0000660782,0.00025510052,0.001960167],"genre_scores_gemma":[0.4577435,0.000014676038,0.54137045,0.000006130443,0.000017772907,0.00011379503,0.0007026693,0.000011311428,0.000019703464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991629,0.0000043258947,0.00047925036,0.00009586823,0.000116273746,0.00014139203],"domain_scores_gemma":[0.99908036,0.000030280175,0.00036814876,0.00032510023,0.00014761223,0.00004851033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101410085,0.00011851829,0.00015499945,0.000073562,0.00014691772,0.00001468959,0.00018155345,0.00012756222,0.000019526457],"category_scores_gemma":[0.00003813397,0.00011078418,0.00006737535,0.00019911308,0.00006250424,0.0002827382,0.000016478007,0.00009927488,0.0000010937381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007857374,0.00088226364,0.003340939,0.0024331973,0.00008850359,5.575815e-7,0.0040765,0.0031440894,0.9450697,0.007003265,0.0007476889,0.033134736],"study_design_scores_gemma":[0.00026782122,0.00003744459,0.000078418096,0.000036141468,0.00001380037,0.00001846047,0.00042786865,0.41036096,0.58765036,0.000282859,0.00067084876,0.00015499031],"about_ca_topic_score_codex":0.000007773719,"about_ca_topic_score_gemma":1.84441e-7,"teacher_disagreement_score":0.40721688,"about_ca_system_score_codex":0.000025908648,"about_ca_system_score_gemma":0.00004066019,"threshold_uncertainty_score":0.4517648},"labels":[],"label_agreement":null},{"id":"W2134774224","doi":"10.1155/2004/965261","title":"Heart Disease, Clinical Proteomics and Mass Spectrometry","year":2004,"lang":"en","type":"review","venue":"Disease Markers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute; Johns Hopkins University","keywords":"Proteomics; Mass spectrometry; Disease; Medicine; MEDLINE; Computational biology; Chemistry; Biology; Internal medicine; Chromatography; Biochemistry","score_opus":0.030920585388455806,"score_gpt":0.36518136709214793,"score_spread":0.3342607817036921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134774224","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024271661,0.9928535,0.0030312184,0.00016454144,0.00004655124,0.0012958494,0.001101147,0.00030033352,0.001182545],"genre_scores_gemma":[0.000015176664,0.9556408,0.040959444,0.00009112977,0.0002890319,0.0014276843,0.0007312763,0.00013835213,0.0007071253],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975222,0.000054097563,0.00080181425,0.00097206474,0.0002299615,0.00041990617],"domain_scores_gemma":[0.99731326,0.00019674486,0.00036082452,0.0010778537,0.000035842844,0.0010154984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020158183,0.00056432636,0.0011245023,0.000101445425,0.0001455171,0.00008616941,0.0004041543,0.00030454382,0.00028292404],"category_scores_gemma":[0.00026616748,0.00053235417,0.00075201574,0.00023112202,0.00025237183,0.000073537725,0.00019471436,0.00075483945,0.00004774069],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000983659,0.0014264577,0.004019246,0.21964736,0.0010886107,0.0004280606,0.000008397928,0.000008033677,0.0000347654,0.010022063,0.0083609605,0.7539724],"study_design_scores_gemma":[0.00025880185,0.000011909471,0.00005195928,0.010997434,0.001061288,0.0000059387257,0.0000035227054,0.000019995729,0.0000024157514,0.011531941,0.9753189,0.0007358825],"about_ca_topic_score_codex":0.0000025712118,"about_ca_topic_score_gemma":1.0679364e-7,"teacher_disagreement_score":0.9669579,"about_ca_system_score_codex":0.00025724704,"about_ca_system_score_gemma":0.00073318946,"threshold_uncertainty_score":0.9997128},"labels":[],"label_agreement":null},{"id":"W2135078307","doi":"10.1074/mcp.m111.010587","title":"PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo; Bioinformatics Solutions (Canada)","funders":"","keywords":"Computational biology; Identification (biology); Biology; Chemistry; Computer science","score_opus":0.043655124025719035,"score_gpt":0.28469057818430626,"score_spread":0.24103545415858724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135078307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4961626,0.00003543657,0.5024247,0.00003638332,0.0000068171835,0.0005929589,0.00010659105,0.00009102059,0.00054348353],"genre_scores_gemma":[0.6496008,0.00003042311,0.34918687,0.000060408198,0.000034045737,0.0005439689,0.00028469804,0.000059550217,0.00019925296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998473,0.00004044653,0.00035997547,0.00056852715,0.0001509335,0.00040713925],"domain_scores_gemma":[0.9987505,0.00003595826,0.00019136805,0.00066436006,0.00020915053,0.0001486706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043521464,0.00023828716,0.00019933113,0.00006711909,0.00024146405,0.00007532845,0.00025045875,0.00017673793,0.000023138953],"category_scores_gemma":[0.000076590215,0.00027499103,0.00009550723,0.00012816543,0.00011750376,0.00015319091,0.00016088392,0.0003112657,0.000007716238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055305034,0.000041353014,0.000057553643,0.00015032105,0.000032320753,0.000043377346,0.00035446027,0.000031573967,0.9951345,0.0033730073,0.000007230068,0.0007190512],"study_design_scores_gemma":[0.0003658108,0.000020824655,0.000026011874,0.00005599858,0.000057031546,0.000071329225,0.00025068814,0.005552317,0.98973113,0.0034155864,0.00014480538,0.000308436],"about_ca_topic_score_codex":0.00009021889,"about_ca_topic_score_gemma":0.000005402852,"teacher_disagreement_score":0.15343818,"about_ca_system_score_codex":0.00021166344,"about_ca_system_score_gemma":0.00013171845,"threshold_uncertainty_score":0.9999702},"labels":[],"label_agreement":null},{"id":"W2135281636","doi":"10.1002/iub.1081","title":"Quantitative proteomics: A strategic ally to map protein interaction networks","year":2012,"lang":"en","type":"review","venue":"IUBMB Life","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"Instituto de Salud Carlos III","keywords":"Proteomics; Computational biology; Protein–protein interaction; Quantitative proteomics; Mass spectrometry; Workflow; Chemistry; Computer science; Biology; Biochemistry; Chromatography; Gene","score_opus":0.11345753920922193,"score_gpt":0.39004916269846973,"score_spread":0.2765916234892478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135281636","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028689816,0.92234224,0.06775363,0.00009715327,0.000112797,0.003882024,0.00015482977,0.00042402485,0.0052046254],"genre_scores_gemma":[0.000112168826,0.8340596,0.14488946,0.000098567434,0.0011991111,0.016797561,0.0004901658,0.00023389854,0.0021194944],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977481,0.000055968554,0.000835395,0.0006429772,0.00018484762,0.0005327451],"domain_scores_gemma":[0.9979387,0.00008816105,0.0007355286,0.0007755827,0.0001102813,0.0003517544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021016422,0.0005932808,0.0010890866,0.00011093804,0.00013337268,0.00011060318,0.000565004,0.00057548605,0.00039474663],"category_scores_gemma":[0.000048310616,0.0005419382,0.0003564815,0.0002623433,0.000046374305,0.00016345835,0.00019674246,0.0010870434,0.0005175315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021530958,0.0007342338,0.0000023069972,0.046497706,0.00086737465,0.000018891864,0.00024111343,0.00020896734,0.0020747765,0.10814186,0.0024268588,0.8385706],"study_design_scores_gemma":[0.000075220785,0.00004924757,2.163097e-8,0.0068096104,0.00022391864,0.000012190868,0.000053550073,0.00012001885,0.000294462,0.0013958645,0.99031204,0.0006538674],"about_ca_topic_score_codex":0.00002843474,"about_ca_topic_score_gemma":0.00000889154,"teacher_disagreement_score":0.9878852,"about_ca_system_score_codex":0.00031349662,"about_ca_system_score_gemma":0.00025221793,"threshold_uncertainty_score":0.9997032},"labels":[],"label_agreement":null},{"id":"W2135925746","doi":"10.1002/rcm.1892","title":"An algorithm for interpretation of low‐energy collision‐induced dissociation product ion spectra for <i>de novo</i> sequencing of peptides","year":2005,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Prairie; Genome Canada","keywords":"Chemistry; Ion; Collision-induced dissociation; Collision; Dissociation (chemistry); Spectral line; Interpretation (philosophy); Algorithm; Mass spectrometry; Physical chemistry; Tandem mass spectrometry; Chromatography; Organic chemistry; Physics; Quantum mechanics","score_opus":0.01908186045979701,"score_gpt":0.3152042556501233,"score_spread":0.2961223951903263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135925746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14876544,0.0003470495,0.84863704,0.00048374193,0.000015175392,0.0005864631,0.00021278756,0.00008720644,0.0008651066],"genre_scores_gemma":[0.5265607,0.0003464788,0.47226983,0.000011380815,0.000055755056,0.0004992199,0.00021111536,0.00002153314,0.000023982702],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986298,0.00004562646,0.00066489185,0.0002873812,0.0001358204,0.00023648729],"domain_scores_gemma":[0.9974298,0.00040091755,0.0005409289,0.0013270098,0.00025827237,0.000043064818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049115013,0.00015778204,0.000300646,0.0002458764,0.00013891191,0.000019422145,0.00077892677,0.000120979166,0.000015677915],"category_scores_gemma":[0.00016287953,0.0001852158,0.00012748741,0.00051985483,0.0000806306,0.00024337943,0.000058869733,0.00018302538,2.5620346e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035767374,0.0003119174,0.00014809813,0.00008494101,0.000024376313,2.6083434e-8,0.0003064746,0.0007310832,0.93986934,0.017056676,0.000012376182,0.041418917],"study_design_scores_gemma":[0.0004122067,0.00009168789,0.000059687874,0.000102611295,0.000022577426,0.000001812324,0.00034600985,0.16070522,0.821388,0.01648111,0.00023405717,0.00015498204],"about_ca_topic_score_codex":0.000038979157,"about_ca_topic_score_gemma":0.000053595435,"teacher_disagreement_score":0.37779525,"about_ca_system_score_codex":0.00065557513,"about_ca_system_score_gemma":0.00011970011,"threshold_uncertainty_score":0.7552881},"labels":[],"label_agreement":null},{"id":"W2135976131","doi":"10.1074/mcp.o111.015446","title":"Recommendations for Mass Spectrometry Data Quality Metrics for Open Access Data (Corollary to the Amsterdam Principles)","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute","keywords":"Computer science; Data science; Data quality; Quality (philosophy); Data sharing; Service (business); World Wide Web; Medicine; Business","score_opus":0.33354315529447637,"score_gpt":0.43051080660177,"score_spread":0.09696765130729362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135976131","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074271816,0.00015298225,0.9738501,0.0032495898,0.00008105845,0.006438263,0.007088501,0.00013898812,0.0015733645],"genre_scores_gemma":[0.019786878,0.000072362236,0.96554303,0.00082302646,0.00016072772,0.004107799,0.008731746,0.00013496805,0.00063947594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969825,0.00006388244,0.0007817051,0.0013785913,0.00024343612,0.00054985215],"domain_scores_gemma":[0.9918222,0.00017628158,0.0004983355,0.0070922677,0.00022212302,0.00018882805],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0019285175,0.00035056975,0.000404328,0.00011957398,0.0005032659,0.00056035287,0.014131193,0.0002008492,0.00012348773],"category_scores_gemma":[0.00077029126,0.0003200881,0.000117690404,0.0006467389,0.00006191649,0.00079023745,0.009105783,0.00033952302,0.000012041145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039142853,0.00051310804,0.00033703964,0.00037033358,0.00030144438,0.000005609081,0.00014083995,0.00008126426,0.94468385,0.038055733,0.008857622,0.006261701],"study_design_scores_gemma":[0.00055153633,0.000043270233,0.000008513038,0.000026607257,0.000108043336,0.0000028802517,0.00006378131,0.006088737,0.8132273,0.018524067,0.16092655,0.0004287303],"about_ca_topic_score_codex":0.00015814157,"about_ca_topic_score_gemma":0.000044828907,"teacher_disagreement_score":0.15206893,"about_ca_system_score_codex":0.00013974642,"about_ca_system_score_gemma":0.00019245996,"threshold_uncertainty_score":0.99992514},"labels":[],"label_agreement":null},{"id":"W2136035880","doi":"10.1002/rcm.2105","title":"Formation of phosphopeptide‐metal ion complexes in liquid chromatography/electrospray mass spectrometry and their influence on phosphopeptide detection","year":2005,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Phosphopeptide; Chemistry; Chromatography; Mass spectrometry; Elution; Electrospray; Protonation; Detection limit; Peptide; Ion; Organic chemistry; Biochemistry","score_opus":0.011344609813570501,"score_gpt":0.2619406745384031,"score_spread":0.2505960647248326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136035880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576061,0.0023889963,0.033306077,0.00053564506,0.000013494404,0.00054544926,0.000056898698,0.00020996796,0.005337384],"genre_scores_gemma":[0.86915195,0.0067433715,0.12352682,0.00006173739,0.000032889864,0.00034698445,0.0000709695,0.000046162306,0.000019127076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976951,0.00009821119,0.0009767804,0.0004851214,0.0002519513,0.00049283623],"domain_scores_gemma":[0.9970316,0.0003467708,0.0005127202,0.0019227548,0.00009753322,0.00008857988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005092546,0.00039112574,0.0005232651,0.001003866,0.0002322636,0.000053010543,0.0010585234,0.00023207197,0.00012247461],"category_scores_gemma":[0.000097674,0.00041237602,0.00014883114,0.002210093,0.00031760902,0.00057598116,0.00022253534,0.0009911229,0.00001076422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012327358,0.00031561195,0.0015284934,0.000059431568,0.000026625494,4.1062236e-7,0.00018429972,0.00022870419,0.98667836,0.0068270816,0.000007346512,0.0040203887],"study_design_scores_gemma":[0.00071912276,0.0002467382,0.0023764353,0.0001912974,0.000014372456,0.000017617147,0.00035416445,0.003296635,0.9831893,0.008179341,0.0010272526,0.0003877581],"about_ca_topic_score_codex":0.000120708544,"about_ca_topic_score_gemma":0.00024235187,"teacher_disagreement_score":0.09022074,"about_ca_system_score_codex":0.0005679381,"about_ca_system_score_gemma":0.000040448296,"threshold_uncertainty_score":0.9998328},"labels":[],"label_agreement":null},{"id":"W2136359150","doi":"10.1093/bioinformatics/btp610","title":"Methods for combining peptide intensities to estimate relative protein abundance","year":2009,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Canadian Institutes of Health Research; Genome Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Intensity (physics); Peptide; Mass spectrometry; Abundance (ecology); Biological system; Detector; Chemistry; Algorithm; Analytical Chemistry (journal); Mathematics; Physics; Biology; Chromatography; Optics","score_opus":0.025978251458796814,"score_gpt":0.37441554503384433,"score_spread":0.3484372935750475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136359150","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056968485,0.000019443622,0.97716045,0.0006634945,0.000012059354,0.0005832855,0.000026814298,0.000275654,0.01556195],"genre_scores_gemma":[0.013656316,0.000002976176,0.98408777,0.00037708308,0.00002565375,0.0003423321,0.000029589135,0.000014333413,0.0014639576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992292,0.000004313486,0.000358426,0.000112012465,0.00006691254,0.00022915588],"domain_scores_gemma":[0.99924594,0.00008303844,0.00017032611,0.0002912853,0.00013072265,0.000078715646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018355655,0.0001430365,0.00018143975,0.000039293718,0.00016252334,0.00004577251,0.00018308409,0.000078092904,0.00001009655],"category_scores_gemma":[0.00021865862,0.0001378087,0.00006143956,0.000099894845,0.00003421107,0.00022870506,0.000045501027,0.00013752627,0.000015463665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014754794,0.00010684087,0.000027666783,0.0005063085,0.00005120982,8.8379505e-7,0.005508943,0.00069801323,0.2510966,0.4194335,0.0029862477,0.31943622],"study_design_scores_gemma":[0.0003792831,0.00017121133,0.000016387428,0.00033420054,0.000021458534,0.000009804566,0.00063748285,0.08774798,0.70651674,0.14051692,0.06320147,0.00044707194],"about_ca_topic_score_codex":0.0000015845611,"about_ca_topic_score_gemma":5.3017544e-7,"teacher_disagreement_score":0.45542014,"about_ca_system_score_codex":0.00006889203,"about_ca_system_score_gemma":0.000026299213,"threshold_uncertainty_score":0.56196755},"labels":[],"label_agreement":null},{"id":"W2136644649","doi":"10.1186/1476-511x-13-8","title":"The application of multiple reaction monitoring and multi-analyte profiling to HDL proteins","year":2014,"lang":"en","type":"article","venue":"Lipids in Health and Disease","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; National Institute of Environmental Health Sciences; Genome Canada; National Heart, Lung, and Blood Institute; University of Arizona; Genome British Columbia; University of Arizona Cancer Center","keywords":"Analyte; Selected reaction monitoring; Quantitative proteomics; Proteomics; Computational biology; Chemistry; Immunoassay; Mass spectrometry; Bioinformatics; Chromatography; Biology; Biochemistry; Tandem mass spectrometry; Antibody; Immunology","score_opus":0.020024156259091288,"score_gpt":0.32966241614610686,"score_spread":0.3096382598870156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136644649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8884789,0.00052249455,0.10857595,0.0012186173,0.00002123238,0.00102417,0.000021505255,0.000069128764,0.00006800563],"genre_scores_gemma":[0.9603715,0.00020866987,0.0384213,0.000049874667,0.00009473787,0.0008032175,0.000008319771,0.000008470066,0.000033900888],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993818,0.000017178492,0.00022417413,0.00018314808,0.000060048063,0.0001336873],"domain_scores_gemma":[0.99927336,0.00008728135,0.00010500825,0.00022288221,0.000025221281,0.00028627398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019974775,0.00006503315,0.00008804206,0.000023441748,0.00018154834,0.000010925052,0.000055485194,0.000027463822,2.393651e-7],"category_scores_gemma":[0.00030866996,0.000054389286,0.000013427245,0.00007218987,0.000028373452,0.000036493057,0.000033945973,0.00009909676,3.7223214e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044310815,0.00021999965,0.52779526,0.0019498782,0.0000075635007,1.50883e-7,0.00042979253,0.00021331609,0.13271475,0.009962406,0.000015092855,0.3262487],"study_design_scores_gemma":[0.0067309556,0.0004030927,0.12612055,0.001698108,0.00007125089,0.0000044021886,0.0031701839,0.37204206,0.3565333,0.04865632,0.08297566,0.0015941398],"about_ca_topic_score_codex":0.00020301506,"about_ca_topic_score_gemma":0.000016199423,"teacher_disagreement_score":0.4016747,"about_ca_system_score_codex":0.000029472287,"about_ca_system_score_gemma":0.00004041461,"threshold_uncertainty_score":0.22179307},"labels":[],"label_agreement":null},{"id":"W2136895615","doi":"10.1002/prca.200780043","title":"Proteomics‐based investigations of animal models of disease","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Heart and Stroke Foundation; Canadian Heart Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Proteomics; Proteome; Computational biology; Disease; Human disease; Proteogenomics; Biology; Bioinformatics; Genomics; Computer science; Genome; Medicine; Pathology; Gene; Genetics","score_opus":0.08958939109423843,"score_gpt":0.3594973543475266,"score_spread":0.2699079632532882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136895615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34075192,0.00006465011,0.65343636,0.00080971955,0.000008135228,0.0020663035,0.00060938834,0.00019674489,0.0020567817],"genre_scores_gemma":[0.5463158,0.00013074934,0.4487494,0.00008426282,0.00007605523,0.004394132,0.00012880875,0.000039392216,0.00008140851],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971879,0.00003506593,0.0016062983,0.00060586503,0.0002822897,0.00028255756],"domain_scores_gemma":[0.9966495,0.00030597948,0.00095805654,0.0013095575,0.00041560578,0.00036128634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029616978,0.00025973786,0.00051672215,0.00009545469,0.00024417177,0.00000864111,0.00070083706,0.0002436647,0.000086137086],"category_scores_gemma":[0.00021289331,0.0002767092,0.00035228606,0.00043750633,0.0010750963,0.00015299006,0.0001580005,0.00046367582,0.000014651851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067196885,0.0034899279,0.026835343,0.00072957546,0.00011637831,0.00000168021,0.000098963115,0.004021785,0.6365279,0.3256219,0.00040607114,0.001478486],"study_design_scores_gemma":[0.0012613881,0.00015391856,0.0011796788,0.00011744227,0.00013339936,0.000004009182,0.000020101203,0.04575148,0.6755415,0.27238122,0.002861135,0.0005947376],"about_ca_topic_score_codex":0.000026835205,"about_ca_topic_score_gemma":0.000001758426,"teacher_disagreement_score":0.20556387,"about_ca_system_score_codex":0.000051692423,"about_ca_system_score_gemma":0.0005575635,"threshold_uncertainty_score":0.9999685},"labels":[],"label_agreement":null},{"id":"W2137575882","doi":"10.1155/2004/579363","title":"Advancement of Biomarker Discovery and Validation through the HUPO Plasma Proteome Project","year":2004,"lang":"en","type":"article","venue":"Disease Markers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; Abbott Fund; Bristol-Myers Squibb Canada; National Institute of Environmental Health Sciences; University of Michigan; National Institutes of Health; Michigan Economic Development Corporation; Procter and Gamble; National Cancer Institute; National Institute on Alcohol Abuse and Alcoholism; Johnson Family Foundation; Bristol-Myers Squibb; Novartis; Pfizer","keywords":"Biomarker; Proteome; Biomarker discovery; Computational biology; Data science; Library science; Proteomics; Political science; Bioinformatics; Biology; Computer science; Genetics","score_opus":0.017928522143729888,"score_gpt":0.29094725526167686,"score_spread":0.273018733117947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137575882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91996515,0.0002798987,0.07117329,0.0020430305,0.000024540814,0.0014584346,0.00025420598,0.00012342524,0.0046780533],"genre_scores_gemma":[0.9880299,0.00031144658,0.010104824,0.000054781656,0.000023442555,0.00095663435,0.00010151765,0.00002156817,0.00039591198],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924093,0.000010807883,0.00020134271,0.0002441209,0.00015318269,0.00014958135],"domain_scores_gemma":[0.9993962,0.00003148472,0.00013631857,0.00036153197,0.000031042102,0.00004343756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063484666,0.00012965407,0.000100647405,0.000019269357,0.00011525366,0.00003128017,0.00013693362,0.000033738834,0.000029924466],"category_scores_gemma":[0.00003685078,0.00009633123,0.00006106591,0.00011854521,0.0001477103,0.00024022396,0.00007871094,0.000068117646,0.0000012853966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006663714,0.0022601925,0.016033186,0.0037969726,0.00073965726,0.000037047117,0.0019571101,0.0041963,0.7333548,0.16916703,0.0016647016,0.06012931],"study_design_scores_gemma":[0.0039898967,0.00011011289,0.0056264037,0.0007505405,0.0003349843,0.0000112639245,0.0016552003,0.0010927338,0.8119994,0.10605327,0.06723858,0.001137638],"about_ca_topic_score_codex":0.000049094713,"about_ca_topic_score_gemma":0.0000015897638,"teacher_disagreement_score":0.078644596,"about_ca_system_score_codex":0.00006189211,"about_ca_system_score_gemma":0.00007890971,"threshold_uncertainty_score":0.39282733},"labels":[],"label_agreement":null},{"id":"W2138108049","doi":"10.1016/j.ajpath.2010.08.004","title":"Innovative Proteomics for the Discovery of Systemically Accessible Cancer Biomarkers Suitable for Imaging and Targeted Therapies","year":2011,"lang":"en","type":"review","venue":"American Journal Of Pathology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Seventh Framework Programme; Université de Liège; Fonds De La Recherche Scientifique - FNRS","keywords":"Proteomics; Cancer; Medicine; Biomarker discovery; Computational biology; Bioinformatics; Data science; Biology; Computer science; Internal medicine","score_opus":0.03121420165555764,"score_gpt":0.3559879076048909,"score_spread":0.32477370594933325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138108049","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000409993,0.82176024,0.17636573,0.00008857141,0.000042753134,0.0008715119,0.00042481208,0.000009145091,0.00002722807],"genre_scores_gemma":[0.00076060946,0.9083328,0.08920254,0.00003756178,0.00011913498,0.0014287981,0.000013202614,0.000054165706,0.000051158153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858797,0.000045818266,0.00086406537,0.00021594521,0.000059419548,0.00022679927],"domain_scores_gemma":[0.99543566,0.00058690907,0.0032509621,0.00025019812,0.000445038,0.0000312588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042067753,0.00024429764,0.0012639005,0.00011116844,0.00009118865,0.000023747694,0.00047624574,0.00009883312,0.0000061672067],"category_scores_gemma":[0.00011132611,0.00014978579,0.00025730158,0.00026062725,0.0005566446,0.00012272193,0.00007796935,0.0002922914,4.2690786e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019374098,0.000053813063,0.0001389934,0.007660049,0.0007972345,0.0000040107348,0.00025648324,0.0000010992298,0.012761671,0.0022800276,0.00023195552,0.9756209],"study_design_scores_gemma":[0.001497384,0.00082627503,0.000014094968,0.017108046,0.002946961,0.0014897998,0.0026788528,0.000060239647,0.020211577,0.010997485,0.940928,0.0012412813],"about_ca_topic_score_codex":0.000024745415,"about_ca_topic_score_gemma":0.0000012824044,"teacher_disagreement_score":0.97437966,"about_ca_system_score_codex":0.00007307694,"about_ca_system_score_gemma":0.0003292887,"threshold_uncertainty_score":0.61080873},"labels":[],"label_agreement":null},{"id":"W2138143711","doi":"10.5603/18762","title":"Secretomic analysis of large cell lung cancer cell lines using two-dimensional gel electrophoresis coupled to mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Folia Histochemica et Cytobiologica","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences; Shiraz University; Shiraz University of Medical Sciences","keywords":"Lung cancer; Vimentin; Cancer; Gel electrophoresis; Proteome; Cancer cell; Two-dimensional gel electrophoresis; Biology; Proteomics; Molecular biology; Chemistry; Cell culture; Biochemistry; Cancer research; Pathology; Immunology; Medicine; Immunohistochemistry; Genetics; Gene","score_opus":0.01207434365685223,"score_gpt":0.3068396429703917,"score_spread":0.29476529931353945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138143711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090315,0.0027689834,0.013785986,0.00005820071,0.000031452848,0.0003014495,0.0006453095,0.00014619334,0.0013593022],"genre_scores_gemma":[0.8888178,0.00015750641,0.10975743,0.00021710408,0.00012370538,0.00023600654,0.00033201466,0.00004013123,0.00031829978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980322,0.000024742176,0.00051682594,0.0005413324,0.00018324748,0.0007016183],"domain_scores_gemma":[0.9984723,0.000113729715,0.0004295357,0.0006125056,0.00015245631,0.00021950783],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019770398,0.00034881665,0.0006407581,0.00017713822,0.00014204906,0.0000103693255,0.00042376888,0.00025913407,0.0019354913],"category_scores_gemma":[0.000034295183,0.0003241857,0.00033936845,0.00081378437,0.00006560513,0.000077687466,0.00018725765,0.00030338133,0.0000073183073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082067796,0.00022386972,0.00354084,0.000048385748,0.00017020282,5.890017e-7,0.0000686525,0.00070242374,0.99433786,0.00012485546,0.0006965684,0.0000036875167],"study_design_scores_gemma":[0.00035560806,0.000021820917,0.000105845684,0.000020768834,0.00070994353,0.0000016424095,0.000029529292,0.007560288,0.99004096,0.00013604877,0.0006077924,0.0004097806],"about_ca_topic_score_codex":0.00027878222,"about_ca_topic_score_gemma":0.0000127042795,"teacher_disagreement_score":0.09597144,"about_ca_system_score_codex":0.0007574097,"about_ca_system_score_gemma":0.00008989456,"threshold_uncertainty_score":0.999921},"labels":[],"label_agreement":null},{"id":"W2138616250","doi":"10.1109/iembs.2010.5626766","title":"Accurate samples for testing mass spectrometry based peptide quantification algorithms","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Calibration; Algorithm; Set (abstract data type); Computer science; Mass spectrometry; Noise (video); Envelope (radar); Data set; Quantitative proteomics; Proteomics; Data mining; Chemistry; Mathematics; Artificial intelligence; Statistics; Chromatography","score_opus":0.05557987754729865,"score_gpt":0.3250148174039379,"score_spread":0.26943493985663924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138616250","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024931746,0.000003996842,0.96670985,0.00035436207,0.000024135881,0.00023917823,0.000090205234,0.00042648506,0.0072200582],"genre_scores_gemma":[0.26780537,0.0000014707331,0.7307631,0.00004457866,0.00011761656,0.00035767083,0.00009924208,0.000022305898,0.0007887099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921685,0.000002125278,0.00021063355,0.00029121287,0.00007684868,0.00020232052],"domain_scores_gemma":[0.9989527,0.00031686728,0.00012635003,0.00042248395,0.0001248471,0.000056751647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012824751,0.00011751301,0.00010285387,0.000039810868,0.00016240681,0.000050542232,0.00020952085,0.00007826956,0.0003363619],"category_scores_gemma":[0.00027731428,0.00011324168,0.00005442405,0.0001571237,0.000037248148,0.00007638477,0.000016889378,0.00019414233,0.000012666374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044411922,0.000027344411,0.00039495146,0.000026388148,0.00000313976,1.3103121e-7,0.0000020059783,0.000032258373,0.9855401,0.010902537,0.00016756255,0.002899174],"study_design_scores_gemma":[0.00016300843,0.0000096057365,0.000092708884,0.000008079691,0.000008363291,0.000002209597,0.00002233982,0.04314141,0.93007976,0.017316252,0.008991658,0.00016461659],"about_ca_topic_score_codex":0.000027605316,"about_ca_topic_score_gemma":0.000009609901,"teacher_disagreement_score":0.24287361,"about_ca_system_score_codex":0.000022844164,"about_ca_system_score_gemma":0.000037441034,"threshold_uncertainty_score":0.46178618},"labels":[],"label_agreement":null},{"id":"W2138782665","doi":"10.1093/database/bap026","title":"PhosphoGRID: a database of experimentally verified in vivo protein phosphorylation sites from the budding yeast Saccharomyces cerevisiae","year":2010,"lang":"en","type":"article","venue":"Database","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Biotechnology and Biological Sciences Research Council; National Center for Research Resources; Directorate for Biological Sciences; National Institutes of Health; Scottish Funding Council","keywords":"Phosphorylation; Saccharomyces cerevisiae; Protein phosphorylation; Proteome; Biology; Proteomics; Phosphatase; Computational biology; Function (biology); Kinase; Biochemistry; Signal transduction; Yeast; Cell biology; Gene; Protein kinase A","score_opus":0.015524813481317587,"score_gpt":0.2758113290470898,"score_spread":0.26028651556577226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138782665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895946,0.00029938147,0.0019262374,0.000102360675,0.000023814522,0.0004545464,0.006825733,0.00008259439,0.00069077284],"genre_scores_gemma":[0.91863227,0.00007306309,0.07818242,0.000046216228,0.00009763709,0.0004582186,0.00242249,0.000029455821,0.00005825272],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890465,0.000012750531,0.0003403082,0.0003714373,0.00017880466,0.00019205995],"domain_scores_gemma":[0.9986346,0.00007973699,0.00020985294,0.0009812689,0.000034778306,0.000059773058],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015535421,0.00017675341,0.00017402091,0.000028893523,0.00009939379,0.00003352382,0.0004475064,0.000075064694,0.0020836787],"category_scores_gemma":[0.00008401188,0.00014975823,0.000048347458,0.00016586776,0.000095576135,0.0002746721,0.00022449417,0.00035992748,0.000014110987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058045145,0.00011261157,0.0018280888,0.00003125828,0.000008416888,0.0000027735573,0.00014526254,0.0000016271707,0.99469376,0.0019927495,0.0004973572,0.00062804937],"study_design_scores_gemma":[0.00038401238,0.0000066307443,0.00008643069,0.00015341441,0.000010606512,0.0000014211644,0.00037079916,0.0002858089,0.9892261,0.00026012334,0.009042222,0.00017243766],"about_ca_topic_score_codex":0.0014152775,"about_ca_topic_score_gemma":0.0002940149,"teacher_disagreement_score":0.076256186,"about_ca_system_score_codex":0.000027826653,"about_ca_system_score_gemma":0.00003884786,"threshold_uncertainty_score":0.99882853},"labels":[],"label_agreement":null},{"id":"W2139015356","doi":"10.1002/mas.20291","title":"Mass spectrometry of peptides and proteins from human blood","year":2010,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chemistry; Mass spectrometry; Chromatography; Human blood; Proteomics; Tandem mass tag; Biochemistry; Quantitative proteomics","score_opus":0.037178582810586315,"score_gpt":0.33223904894007306,"score_spread":0.2950604661294867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139015356","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001069458,0.9793347,0.004687165,0.000022677805,0.000039384595,0.0022206798,0.00063164503,0.00021238101,0.012744387],"genre_scores_gemma":[0.000012567248,0.7130364,0.28379744,0.000008755143,0.0004719864,0.0011519785,0.00036834637,0.0001517449,0.0010007584],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953432,0.00010224426,0.002211876,0.0013300165,0.00037430247,0.00063832605],"domain_scores_gemma":[0.99479073,0.00019527075,0.0023843884,0.0023051507,0.00006771271,0.00025673164],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053630257,0.0011138245,0.00453984,0.00045877797,0.00019762931,0.00010014737,0.0012151164,0.000947585,0.0022114613],"category_scores_gemma":[0.00019760955,0.0009396119,0.0011108726,0.0010527461,0.00026659988,0.00012212545,0.00028063596,0.002236532,0.000078910234],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004994153,0.00037480614,0.00008658831,0.054365054,0.0004903074,0.000023605278,0.000018615667,1.6354718e-8,0.43054783,0.009780938,0.00030651607,0.5040007],"study_design_scores_gemma":[0.00020029707,0.000074348194,0.0000012944058,0.010348016,0.0014724318,0.0000392352,0.00000527158,3.5361666e-7,0.023289246,0.014822502,0.94885963,0.0008873424],"about_ca_topic_score_codex":0.000044617853,"about_ca_topic_score_gemma":0.000008842719,"teacher_disagreement_score":0.94855314,"about_ca_system_score_codex":0.0001511014,"about_ca_system_score_gemma":0.000095387375,"threshold_uncertainty_score":0.9993054},"labels":[],"label_agreement":null},{"id":"W2139564441","doi":"10.1074/mcp.r400007-mcp200","title":"Mass Spectrometry as a Diagnostic and a Cancer Biomarker Discovery Tool","year":2004,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":631,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Prostate cancer; Proteomics; Breast cancer; Medicine; Cancer biomarkers; Biomarker; Mass spectrometry; Computational biology; Profiling (computer programming); Oncology; Cancer; Bioinformatics; Internal medicine; Computer science; Biology; Chemistry; Chromatography","score_opus":0.014171222099937793,"score_gpt":0.2951488462402526,"score_spread":0.2809776241403148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139564441","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009945895,0.844559,0.15103266,0.00004381342,0.000042389343,0.002073463,0.00032907125,0.00019355825,0.00073141436],"genre_scores_gemma":[0.0001185989,0.91646296,0.07680066,0.000046352405,0.00011947648,0.004948199,0.00038478253,0.00028912394,0.00082987425],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99690855,0.00005068435,0.00082093664,0.0012205497,0.00034106206,0.0006582463],"domain_scores_gemma":[0.99778223,0.00013139461,0.00059999264,0.0012425354,0.00005695745,0.00018685989],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016370001,0.0009379435,0.001444747,0.0002007567,0.00017622366,0.00026881494,0.0006471697,0.00080509344,0.00018585024],"category_scores_gemma":[0.00018616403,0.0009067612,0.0006376137,0.0004623277,0.00019387624,0.00015065783,0.0003679067,0.0009869629,0.000051183073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034773562,0.00034934882,0.000012077986,0.062419515,0.0011349756,0.0011784064,0.000041176867,0.000027547823,0.48595655,0.020627728,0.000056192268,0.42816168],"study_design_scores_gemma":[0.0005202948,0.000044741322,1.5960546e-7,0.016898153,0.0014821274,0.00019882448,0.000008266865,0.000025353576,0.44344908,0.025734998,0.50966185,0.001976185],"about_ca_topic_score_codex":0.000091917434,"about_ca_topic_score_gemma":0.0000011811164,"teacher_disagreement_score":0.50960565,"about_ca_system_score_codex":0.00065544655,"about_ca_system_score_gemma":0.00061334256,"threshold_uncertainty_score":0.9993383},"labels":[],"label_agreement":null},{"id":"W2139574601","doi":"10.1074/mcp.m100015-mcp200","title":"2D Differential In-gel Electrophoresis for the Identification of Esophageal Scans Cell Cancer-specific Protein Markers","year":2002,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":388,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Gel electrophoresis; Molecular biology; Proteomics; Cancer cell; Difference gel electrophoresis; Two-dimensional gel electrophoresis; Laser capture microdissection; Cancer; Biology; Biochemistry; Gene expression; Gene","score_opus":0.008907768747219987,"score_gpt":0.22393168475809608,"score_spread":0.2150239160108761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139574601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62506115,0.0015716314,0.3708425,0.00021972296,0.000022791392,0.001956181,0.00009301543,0.00004944986,0.00018356316],"genre_scores_gemma":[0.97282726,0.00057080516,0.02058277,0.000017686305,0.00007303755,0.004974773,0.00005560407,0.000083471576,0.00081459363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980944,0.00003337106,0.000684085,0.0005144132,0.0002553257,0.00041844576],"domain_scores_gemma":[0.998544,0.000039129896,0.00043283775,0.0008074384,0.000113440066,0.00006315736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018423198,0.0002755238,0.00027280865,0.00008506663,0.00017440884,0.000055281755,0.0006134202,0.00019794947,0.00021981652],"category_scores_gemma":[0.000023059769,0.0002579511,0.00021875896,0.00028176053,0.0001305735,0.000057715464,0.00008082465,0.00033460974,0.0000054100246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007731842,0.00016615374,0.00005595664,0.00015945296,0.000025349604,0.0000035403646,0.00006900475,0.0004630665,0.99545735,0.0013651353,0.00007596683,0.0020817232],"study_design_scores_gemma":[0.00058973656,0.000027649674,0.000020914737,0.000036688638,0.000041015,0.0000012094233,0.000029986979,0.016207123,0.97993153,0.0018692396,0.000995305,0.0002495699],"about_ca_topic_score_codex":0.0000678695,"about_ca_topic_score_gemma":0.0000074468194,"teacher_disagreement_score":0.35025972,"about_ca_system_score_codex":0.00018456687,"about_ca_system_score_gemma":0.000037017635,"threshold_uncertainty_score":0.99998724},"labels":[],"label_agreement":null},{"id":"W2139681830","doi":"10.1021/pr100821m","title":"Platform for Establishing Interlaboratory Reproducibility of Selected Reaction Monitoring-Based Mass Spectrometry Peptide Assays","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reproducibility; Mass spectrometry; Chromatography; Selected reaction monitoring; Triple quadrupole mass spectrometer; Quantitative proteomics; Transferability; Chemistry; Proteomics; Computational biology; Computer science; Tandem mass spectrometry; Biology; Biochemistry","score_opus":0.05585829618730244,"score_gpt":0.3853350862858667,"score_spread":0.3294767900985643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139681830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95429534,0.000045846093,0.0439372,0.00033669022,0.00009022964,0.0006258555,0.000034352914,0.000045437424,0.0005890656],"genre_scores_gemma":[0.73151326,0.000016575725,0.26755264,0.000001452422,0.0005942245,0.00015314289,0.000005296729,0.00003068934,0.00013274547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99758697,0.000044979977,0.00077008107,0.000468343,0.0007340523,0.00039560487],"domain_scores_gemma":[0.99408674,0.0005099838,0.00069683715,0.001094913,0.0034561476,0.00015539203],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00749315,0.00013871436,0.00031882522,0.00041712675,0.00017824725,0.00007487084,0.0005760666,0.00022520997,0.000061988816],"category_scores_gemma":[0.0074354117,0.00012718262,0.00013694391,0.00094313617,0.00014330434,0.00045542774,0.00006263274,0.0023272494,0.0000012801072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035237413,0.00016841729,0.0038320674,0.00028524958,0.00002614308,0.0000027616056,0.000038482453,0.0000091837655,0.9937219,0.00015517918,0.00016327851,0.0012449654],"study_design_scores_gemma":[0.00045822223,0.00024269675,0.00060068676,0.00015353545,0.000011192172,0.0000147507535,0.00014228767,0.00019432057,0.9896187,0.007174223,0.0012789923,0.000110356414],"about_ca_topic_score_codex":0.000027124881,"about_ca_topic_score_gemma":0.0000051214843,"teacher_disagreement_score":0.22361544,"about_ca_system_score_codex":0.0003523298,"about_ca_system_score_gemma":0.0006171539,"threshold_uncertainty_score":0.9999744},"labels":[],"label_agreement":null},{"id":"W2140163842","doi":"10.1093/bioinformatics/btu178","title":"rTANDEM, an R/Bioconductor package for MS/MS protein identification","year":2014,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bioconductor; R package; Computer science; Pipeline (software); Identification (biology); JavaScript; Interface (matter); Software; Data mining; Operating system; Programming language; Biology","score_opus":0.02169888587174565,"score_gpt":0.28549764496068214,"score_spread":0.26379875908893646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140163842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16669068,0.000008333807,0.8242201,0.00012806754,0.000029638655,0.00084389583,0.00015271966,0.00038202727,0.0075445105],"genre_scores_gemma":[0.5291407,0.000008643942,0.46692574,0.00011440228,0.00023034346,0.0012470927,0.00055928313,0.000041243133,0.0017325656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991021,0.000004580157,0.00043044653,0.00014426914,0.00011512687,0.00020346351],"domain_scores_gemma":[0.99889666,0.000027726797,0.0002700674,0.0006194557,0.000097701806,0.00008841322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019645125,0.00013713111,0.00013566273,0.00003328458,0.00016625067,0.00008293966,0.0002809458,0.00013033887,0.00008576999],"category_scores_gemma":[0.00008823034,0.0001296111,0.000060206286,0.00007034083,0.0000459282,0.00034871633,0.00003407489,0.00009807648,0.000046923262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001913849,0.00010242547,0.00007015794,0.00051983906,0.000014457022,5.768619e-8,0.0003420857,0.000008639863,0.89526385,0.07545745,0.0011408313,0.027061047],"study_design_scores_gemma":[0.0003170666,0.000042481126,0.000021668542,0.000033354885,0.000013437228,0.0000022371178,0.00009581744,0.020868724,0.8857942,0.01622706,0.076338306,0.00024563776],"about_ca_topic_score_codex":0.0000045885945,"about_ca_topic_score_gemma":0.0000032144187,"teacher_disagreement_score":0.36245003,"about_ca_system_score_codex":0.000044288034,"about_ca_system_score_gemma":0.00002325452,"threshold_uncertainty_score":0.52853876},"labels":[],"label_agreement":null},{"id":"W2140380519","doi":"10.1109/e-science.2009.21","title":"An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data acquisition; Heuristics; Data collection; Sampling (signal processing); Big data; Data mining; Real-time computing","score_opus":0.01839124147304057,"score_gpt":0.32049661742093194,"score_spread":0.3021053759478914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140380519","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03395518,0.00003975777,0.96266943,0.0009777641,0.000002000721,0.00039869468,0.0008439561,0.00026996114,0.0008432289],"genre_scores_gemma":[0.24912769,0.000022603685,0.7472832,0.00016053798,0.00030061693,0.00005047179,0.0027895903,0.000017995759,0.000247305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991611,0.0000026621071,0.00016463717,0.00041153122,0.000069572634,0.00019049311],"domain_scores_gemma":[0.9993836,0.000041830637,0.000085450985,0.0003847661,0.00004810081,0.000056195495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000749535,0.00012902866,0.0001449788,0.0000259687,0.0001556475,0.000051359468,0.0002498886,0.000105277104,0.000075429736],"category_scores_gemma":[0.0000057331754,0.000115711846,0.00002204403,0.00006709371,0.000027757378,0.00018074633,0.000029468632,0.000091594564,3.4758867e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060312603,0.000097049895,0.000012647861,0.000046096706,0.000006191633,2.5199515e-7,0.000012370346,0.000017291468,0.9417614,0.0034416586,0.00031874736,0.05422603],"study_design_scores_gemma":[0.0009537251,0.00034074753,0.00009837284,0.000056462388,0.00006221239,0.000015643694,0.000059238508,0.04523233,0.5397636,0.4102085,0.0027986367,0.00041051727],"about_ca_topic_score_codex":0.0000046879227,"about_ca_topic_score_gemma":0.0000027511428,"teacher_disagreement_score":0.40676683,"about_ca_system_score_codex":0.000033857006,"about_ca_system_score_gemma":0.000025518595,"threshold_uncertainty_score":0.47185922},"labels":[],"label_agreement":null},{"id":"W2140506762","doi":"10.1002/rcm.2435","title":"RT‐PSM, a real‐time program for peptide‐spectrum matching with statistical significance","year":2006,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Saskatchewan","funders":"","keywords":"Chemistry; Tandem mass spectrometry; Electrospray ionization; Mass spectrometry; Mass spectrum; Analytical Chemistry (journal); Chromatography","score_opus":0.012144359041079975,"score_gpt":0.30084729105871,"score_spread":0.28870293201763003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140506762","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0677804,0.00054265006,0.7773262,0.0036735826,0.000016391792,0.002983484,0.00070310355,0.0018730799,0.14510107],"genre_scores_gemma":[0.37488446,0.00028364322,0.6209358,0.000013998934,0.000052822073,0.0027432002,0.00043196295,0.0000544479,0.0005996877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982457,0.000041656676,0.00052651356,0.0004695751,0.00019979909,0.00051674753],"domain_scores_gemma":[0.9969272,0.0005687834,0.00024229291,0.0021198574,0.00006826816,0.00007359134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025760898,0.00026894748,0.00033937086,0.00019075876,0.00033291554,0.00009571723,0.0011619304,0.00013442391,0.00027321375],"category_scores_gemma":[0.000029988962,0.00027567448,0.000079293844,0.000688624,0.0002816461,0.00013035248,0.00015470709,0.00053534406,0.00001826368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016120754,0.0017425325,0.004387832,0.00019504994,0.00007652445,0.0000052520986,0.000090121444,0.00040367764,0.31607643,0.6684521,0.0009945509,0.0074147596],"study_design_scores_gemma":[0.002623004,0.0005205267,0.0040560863,0.0003164025,0.00013024658,0.00004990983,0.00046891303,0.019344568,0.100817285,0.82505524,0.04484176,0.0017760757],"about_ca_topic_score_codex":0.00032664364,"about_ca_topic_score_gemma":0.00015779256,"teacher_disagreement_score":0.30710405,"about_ca_system_score_codex":0.00039921183,"about_ca_system_score_gemma":0.0000955821,"threshold_uncertainty_score":0.99996954},"labels":[],"label_agreement":null},{"id":"W2140572608","doi":"10.1186/1471-2105-11-s1-s4","title":"Better score function for peptide identification with ETD MS/MS spectra","year":2010,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Electron-transfer dissociation; Tandem mass spectrometry; Proteomics; Peptide; Mass spectrometry; Database search engine; Computer science; Computational biology; Tandem mass tag; Bioinformatics; Chemistry; Chromatography; Quantitative proteomics; Search engine; Biology; Information retrieval; Biochemistry","score_opus":0.015368112956873332,"score_gpt":0.25119998308449154,"score_spread":0.23583187012761822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140572608","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08586935,0.0000035756545,0.9042176,0.00012535931,0.00004821312,0.00041697174,0.000066842964,0.00022784126,0.00902423],"genre_scores_gemma":[0.062204495,0.000007001179,0.93522996,0.0001542543,0.0002537995,0.00051302026,0.00036316298,0.00003353634,0.0012407457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991905,0.0000013329527,0.00034469634,0.00013917251,0.00013057416,0.00019372725],"domain_scores_gemma":[0.9990347,0.0000401458,0.00025506827,0.000506344,0.00010509194,0.00005864034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102136466,0.00014153728,0.000109497916,0.00004127904,0.00016478683,0.000079477606,0.00018233918,0.00013354827,0.00014077795],"category_scores_gemma":[0.000025810115,0.000121120895,0.000060136925,0.00009427451,0.00006282588,0.00029007747,0.000025459707,0.00023450892,0.000052649713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047610936,0.0003893487,0.016854981,0.0031017594,0.0001343317,7.073864e-7,0.0011187211,0.00054863276,0.7960458,0.10770978,0.018871807,0.054748055],"study_design_scores_gemma":[0.0013346084,0.00012256333,0.002349605,0.00011132852,0.0001485452,0.0000443405,0.0003180641,0.103595056,0.7310668,0.02650104,0.13354743,0.0008605824],"about_ca_topic_score_codex":0.0000041411627,"about_ca_topic_score_gemma":0.000055365494,"teacher_disagreement_score":0.11467561,"about_ca_system_score_codex":0.000028609704,"about_ca_system_score_gemma":0.000040179508,"threshold_uncertainty_score":0.49391666},"labels":[],"label_agreement":null},{"id":"W2141415922","doi":"10.1093/bioinformatics/btr017","title":"Computational refinement of post-translational modifications predicted from tandem mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Cluster analysis; Database search engine; Noise (video); Tandem mass spectrometry; Posttranslational modification; Proteome; Data mining; Algorithm; Artificial intelligence; Pattern recognition (psychology); Bioinformatics; Mass spectrometry; Search engine; Chemistry; Biology","score_opus":0.02368803982480069,"score_gpt":0.2529056610913337,"score_spread":0.22921762126653303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141415922","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051434454,0.000025894813,0.9069249,0.00010580894,0.000016170057,0.00016347096,0.00162357,0.00015021228,0.039555494],"genre_scores_gemma":[0.35671455,0.00001290468,0.64223874,0.00002960149,0.000020587584,0.000034794517,0.00088440423,0.000007840981,0.00005660785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990735,0.000002964342,0.0004995302,0.00009706695,0.00020977546,0.00011714944],"domain_scores_gemma":[0.99921495,0.000048280213,0.00025217654,0.00026428656,0.0001665799,0.000053753465],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000044764474,0.00010535026,0.00012269604,0.00006369161,0.000072325005,0.000008646281,0.00019567586,0.00008321649,0.0011699124],"category_scores_gemma":[0.000017111826,0.0001057807,0.00005826614,0.0001405844,0.00006572972,0.000121560835,0.000024394829,0.00010582574,0.000016149368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002757956,0.002047196,0.033019695,0.0007399924,0.0008706704,0.0000030324263,0.0125452755,0.0068006706,0.37067404,0.55195534,0.00344276,0.017625486],"study_design_scores_gemma":[0.0019747016,0.00013441933,0.024542479,0.0001749526,0.00017859048,0.000009999882,0.0015227938,0.31423402,0.3956272,0.25643927,0.004247343,0.0009142714],"about_ca_topic_score_codex":0.00002729106,"about_ca_topic_score_gemma":0.0000017776631,"teacher_disagreement_score":0.30743334,"about_ca_system_score_codex":0.000031917978,"about_ca_system_score_gemma":0.000060549013,"threshold_uncertainty_score":0.99974316},"labels":[],"label_agreement":null},{"id":"W2141618567","doi":"10.1142/s012905410500311x","title":"AN AUTOMATA APPROACH TO MATCH GAPPED SEQUENCE TAGS AGAINST PROTEIN DATABASE","year":2005,"lang":"en","type":"article","venue":"International Journal of Foundations of Computer Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Substring; Sequence (biology); Sequence database; String (physics); Computer science; Protein sequencing; Database; Computational biology; Peptide sequence; Biology; Genetics; Mathematics; Data structure; Programming language","score_opus":0.028705751240357107,"score_gpt":0.34873401197349724,"score_spread":0.3200282607331401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141618567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2422123,0.0000050800477,0.7547562,0.0012551467,0.0000699268,0.00010904762,0.000042642052,0.0000357158,0.0015139121],"genre_scores_gemma":[0.4926895,0.000005552207,0.5069438,0.00010702873,0.00018974581,0.000012828702,0.000015279173,0.000005188604,0.000031065592],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820274,0.0000106194,0.0005558846,0.00025292372,0.00081569277,0.0001621332],"domain_scores_gemma":[0.9975354,0.000027211916,0.00047672528,0.00046787717,0.0013294592,0.00016329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005256522,0.00011066453,0.00013942219,0.00029104907,0.0001277727,0.0001873672,0.0023098367,0.00003024347,0.000032467768],"category_scores_gemma":[0.000067168054,0.00010626208,0.00005794328,0.00035099278,0.00023792294,0.0015038498,0.00022419024,0.000167752,0.0000091194115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023613811,0.00048155768,0.00007323172,0.000010982391,0.000019306819,0.0000026150253,0.0002356623,0.014910568,0.8763298,0.020266784,0.00017570828,0.087470174],"study_design_scores_gemma":[0.0006318503,0.0001058796,0.00016685325,0.00026859838,0.000011181194,0.00021563187,0.000064548105,0.28240985,0.69445175,0.00412661,0.017213043,0.00033421928],"about_ca_topic_score_codex":0.000009222045,"about_ca_topic_score_gemma":0.0000014460469,"teacher_disagreement_score":0.2674993,"about_ca_system_score_codex":0.00019647091,"about_ca_system_score_gemma":0.00034325683,"threshold_uncertainty_score":0.4333242},"labels":[],"label_agreement":null},{"id":"W2141933676","doi":"10.1039/c2mb25151e","title":"Large scale phosphoproteome analysis of LNCaP human prostate cancer cells","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Institutes of Health; National Cancer Institute; National Institute for Health and Care Research; Canadian Institutes of Health Research; Cedars-Sinai Medical Center","keywords":"LNCaP; Phosphorylation; Androgen receptor; Prostate cancer; Biology; Proteomics; Kinase; Signal transduction; Phosphoprotein; Phosphoproteomics; Protein kinase B; Cancer cell; Protein phosphorylation; Cancer research; Cancer; Chemistry; Cell biology; Biochemistry; Protein kinase A; Genetics","score_opus":0.006685658010769681,"score_gpt":0.2744052578980515,"score_spread":0.2677195998872818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141933676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98810565,0.0010027696,0.007963875,0.000029846286,0.000029853767,0.00034088115,0.00046394,0.00010814977,0.001955009],"genre_scores_gemma":[0.99627453,0.00003615852,0.0023659065,0.000030569532,0.00004609716,0.00048309154,0.000081109974,0.000034893885,0.0006476211],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988045,0.000015104707,0.00035949817,0.00025398098,0.00019992412,0.000366986],"domain_scores_gemma":[0.9989411,0.0000064208843,0.00026314115,0.0005946024,0.00008117409,0.000113551745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001565323,0.00016734313,0.0003380956,0.0001031939,0.00009065153,0.000015423208,0.00021654708,0.00012193537,0.00037361306],"category_scores_gemma":[0.0000030237538,0.00016340127,0.00021480476,0.0005482633,0.00003752363,0.00005569134,0.00007854605,0.000116707066,0.000009866215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042442184,0.00010581203,0.0054799314,0.00012182645,0.00023203826,8.162366e-7,0.00028176786,0.000052937903,0.9928589,0.0007493901,0.000056077628,0.000056262572],"study_design_scores_gemma":[0.00015300044,0.0000065957925,0.000065845976,0.000042671836,0.00028014224,6.597701e-7,0.00015429096,0.00022490116,0.9933227,0.000057183403,0.005500333,0.00019171997],"about_ca_topic_score_codex":0.00020781803,"about_ca_topic_score_gemma":0.000024772178,"teacher_disagreement_score":0.008168877,"about_ca_system_score_codex":0.00006950401,"about_ca_system_score_gemma":0.000013949478,"threshold_uncertainty_score":0.66633105},"labels":[],"label_agreement":null},{"id":"W2142079394","doi":"10.1186/1477-5956-11-s1-s10","title":"Peptide identification based on fuzzy classification and clustering","year":2013,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China; National Institutes of Health; National Science Foundation","keywords":"Identification (biology); Cluster analysis; Computer science; Fuzzy logic; Data mining; Artificial intelligence; Data science; Machine learning; Computational biology; Biology","score_opus":0.019882325595366623,"score_gpt":0.2804297074045817,"score_spread":0.26054738180921505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142079394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7642725,0.000015366642,0.20478758,0.0021404626,0.000030153651,0.0010985375,0.0000085094525,0.0003609615,0.027285945],"genre_scores_gemma":[0.94444656,0.000007563735,0.053990904,0.000074375406,0.000030605574,0.0009262779,0.0000045501856,0.000009720623,0.0005094463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989862,0.0000045039833,0.0001760098,0.00040826204,0.00022916247,0.00019587732],"domain_scores_gemma":[0.9992192,0.000023313683,0.0001176953,0.0004402247,0.000110956054,0.000088610555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023459477,0.00009183287,0.00006365171,0.000083663275,0.0003252018,0.00017509442,0.00029729088,0.00004037664,0.000091279435],"category_scores_gemma":[0.000090047484,0.000087205226,0.000016061083,0.0002918404,0.000277741,0.00036777204,0.00006208688,0.0001173387,0.000081297505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022226482,0.000011316265,0.00065338024,0.000022549388,3.3532876e-7,5.7100074e-8,0.000021909322,0.00010651459,0.9867266,0.0017557628,0.000015784553,0.010683606],"study_design_scores_gemma":[0.00013954572,0.000018570257,0.013341301,0.0000526552,0.000002965954,0.00000279365,0.00006242036,0.20079027,0.7717723,0.013001268,0.00060301425,0.00021287502],"about_ca_topic_score_codex":0.000019454796,"about_ca_topic_score_gemma":9.102083e-7,"teacher_disagreement_score":0.21495424,"about_ca_system_score_codex":0.000083019055,"about_ca_system_score_gemma":0.000039113784,"threshold_uncertainty_score":0.35561258},"labels":[],"label_agreement":null},{"id":"W2142766872","doi":"10.1373/clinchem.2005.050708","title":"Analytical and Preanalytical Biases in Serum Proteomic Pattern Analysis for Breast Cancer Diagnosis","year":2005,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"","keywords":"Breast cancer; Mammography; Medicine; Protein chip; Disease; Cancer; Oncology; Internal medicine; Computational biology; Pathology; Bioinformatics; Biology","score_opus":0.05204954793637195,"score_gpt":0.3954623477659331,"score_spread":0.34341279982956113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142766872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917192,0.00009596462,0.0023739198,0.0039666696,0.0000055394844,0.00023778962,0.0010961234,0.00009487429,0.0004099352],"genre_scores_gemma":[0.993794,0.0004209818,0.0027006755,0.00021893391,0.0004428642,0.0017691278,0.00006609023,0.000029414316,0.00055788225],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99799615,0.000010909873,0.00077816466,0.0006948385,0.00012750855,0.0003924431],"domain_scores_gemma":[0.99844563,0.00057846785,0.0001641058,0.00047253844,0.00007285508,0.0002663945],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026727203,0.00022553474,0.0005289299,0.000038823917,0.00006327914,0.00003877678,0.00025368054,0.00033536644,0.0015022635],"category_scores_gemma":[0.00028481198,0.0002180128,0.0003208621,0.00028544443,0.00020952254,0.000070337264,0.00012272687,0.00041969918,0.000003658981],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048091646,0.00032363337,0.961059,0.00010685246,0.00019453262,0.00000209998,0.000005271374,0.0001685276,0.00043424938,0.000017934366,0.00028784634,0.037352014],"study_design_scores_gemma":[0.0050453916,0.000058994206,0.24040678,0.00058177375,0.0030681249,0.00003926024,0.0000908368,0.32075608,0.4135397,0.0017631354,0.012557292,0.0020926364],"about_ca_topic_score_codex":0.000027004797,"about_ca_topic_score_gemma":0.00004900498,"teacher_disagreement_score":0.72065216,"about_ca_system_score_codex":0.000112409616,"about_ca_system_score_gemma":0.00006157476,"threshold_uncertainty_score":0.9994105},"labels":[],"label_agreement":null},{"id":"W2143047857","doi":"10.1186/1741-7015-10-39","title":"Bioinformatic identification of proteins with tissue-specific expression for biomarker discovery","year":2012,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; University Health Network","funders":"","keywords":"Biomarker discovery; Medicine; Biomarker; Cancer biomarkers; Computational biology; Prostate cancer; Cancer; Bioinformatics; Disease; Identification (biology); Proteomics; Pancreatic cancer; Pathology; Gene; Biology; Internal medicine; Genetics","score_opus":0.03350617698275909,"score_gpt":0.3095005000655001,"score_spread":0.275994323082741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143047857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09185171,0.00033712818,0.9058559,0.0000824184,0.000023327913,0.0006431509,0.000031708478,0.00006070707,0.0011139772],"genre_scores_gemma":[0.89587104,0.000045296263,0.10194934,0.000010971505,0.00015031591,0.0008216784,0.00013808376,0.000018970106,0.0009942973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992215,0.000004165592,0.0003608402,0.00011752167,0.00014442259,0.00015157522],"domain_scores_gemma":[0.999118,0.00006673636,0.0002956238,0.00040627486,0.000057934205,0.00005544631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018899706,0.0001002008,0.00015206127,0.000042967844,0.00005722022,0.0000061402443,0.00012450849,0.00005293073,0.0000777149],"category_scores_gemma":[0.000045915956,0.000066267035,0.000022745156,0.00009875298,0.000098722805,0.00026645148,0.000022295417,0.00004734695,0.0000033914305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068881716,0.000051984738,0.0006236254,0.00039756176,0.0000042606107,2.881272e-8,0.00019549121,0.000002387063,0.99356776,0.0018509635,0.0007123522,0.0025247186],"study_design_scores_gemma":[0.00046666665,0.000035613597,0.0002793062,0.0002833644,0.000016795466,0.00000389764,0.00028476966,0.00012447288,0.9848355,0.00052373804,0.013054082,0.000091773094],"about_ca_topic_score_codex":0.0000029546661,"about_ca_topic_score_gemma":6.394776e-7,"teacher_disagreement_score":0.80401933,"about_ca_system_score_codex":0.000024806042,"about_ca_system_score_gemma":0.000014234984,"threshold_uncertainty_score":0.27022913},"labels":[],"label_agreement":null},{"id":"W2143534453","doi":"10.1074/mcp.m600465-mcp200","title":"Proteomics Analysis of Conditioned Media from Three Breast Cancer Cell Lines","year":2007,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Proteomics; Extracellular; Chemistry; Quantitative proteomics; Cell culture; Molecular biology; Biology; Biochemistry; Gene","score_opus":0.007914282021153575,"score_gpt":0.24771291998393208,"score_spread":0.2397986379627785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143534453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56538594,0.00040246375,0.4319576,0.00007127216,0.000023237495,0.00047110973,0.0011381905,0.00010749444,0.00044269898],"genre_scores_gemma":[0.7868001,0.00012151242,0.21124324,0.000077572724,0.00013714732,0.0004061712,0.00107398,0.00008492574,0.00005536271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99758035,0.00001959854,0.0008333066,0.00067566254,0.00040725654,0.00048379766],"domain_scores_gemma":[0.9977115,0.000077741875,0.0006360064,0.0010581197,0.00031642607,0.00020024311],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027440692,0.0004003841,0.0006274357,0.00017970773,0.00013388724,0.00003878713,0.0006003431,0.00039412212,0.0008997609],"category_scores_gemma":[0.000028055452,0.00043029955,0.00043484697,0.00073684927,0.00017869842,0.00012115294,0.0001742585,0.00037811958,0.000008721457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009396022,0.0001796884,0.004008648,0.00005694148,0.0004421828,0.000020306443,0.000102889324,0.00085109007,0.9926715,0.0010220914,0.000011503429,0.0005392133],"study_design_scores_gemma":[0.00050738134,0.000010990155,0.00078925403,0.000040776293,0.0008842167,0.000002192628,0.000068821435,0.0037585653,0.98796034,0.0054229335,0.000099394354,0.00045515384],"about_ca_topic_score_codex":0.0010832454,"about_ca_topic_score_gemma":0.0006080213,"teacher_disagreement_score":0.22141416,"about_ca_system_score_codex":0.00021560525,"about_ca_system_score_gemma":0.00010660639,"threshold_uncertainty_score":0.99981487},"labels":[],"label_agreement":null},{"id":"W2143602686","doi":"10.1002/mas.20296","title":"Mass spectrometry‐based clinical proteomics: Head‐and‐neck cancer biomarkers and drug‐targets discovery","year":2010,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; York University","funders":"Canadian Institutes of Health Research; All-India Institute of Medical Sciences; Ontario Institute for Cancer Research","keywords":"Biomarker discovery; Proteomics; Drug discovery; Cancer; Biomarker; Cancer biomarkers; Computational biology; Chemistry; Bioinformatics; Medicine; Internal medicine; Biology; Biochemistry","score_opus":0.04882885376299376,"score_gpt":0.3844149647428366,"score_spread":0.3355861109798428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143602686","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010020895,0.97506624,0.016405504,0.00028279825,0.0002130762,0.0038061256,0.000665313,0.00028187333,0.0031788587],"genre_scores_gemma":[0.000004186458,0.6896182,0.30488932,0.00009910882,0.00069903,0.0029956556,0.0002430371,0.00020668106,0.0012447956],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99311006,0.00026513022,0.0028660535,0.002266184,0.00041389832,0.0010786892],"domain_scores_gemma":[0.9945194,0.0004896215,0.002226715,0.002143961,0.000072400144,0.0005478728],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0014784012,0.0015565592,0.0052039423,0.0005340766,0.00030690077,0.00034168974,0.0010780138,0.0011547009,0.0008256824],"category_scores_gemma":[0.00039141136,0.0012697618,0.001464173,0.0012384786,0.00050603895,0.000282304,0.00034194827,0.003189808,0.0000741595],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006219242,0.0003729941,0.0010477479,0.058956824,0.0006605369,0.00003999098,0.00000934868,1.2365756e-7,0.008405084,0.0019890354,0.0027138037,0.9257423],"study_design_scores_gemma":[0.00050078117,0.00006852043,0.000007078594,0.010522996,0.0009916706,0.000042665863,0.0000039212578,0.000014996389,0.0011687832,0.001986697,0.98331136,0.0013805527],"about_ca_topic_score_codex":0.000043037868,"about_ca_topic_score_gemma":0.000024875155,"teacher_disagreement_score":0.98059756,"about_ca_system_score_codex":0.00049693865,"about_ca_system_score_gemma":0.00036950747,"threshold_uncertainty_score":0.99971825},"labels":[],"label_agreement":null},{"id":"W2144369203","doi":"10.1021/pr5013009","title":"Quest for Missing Proteins: Update 2015 on Chromosome-Centric Human Proteome Project","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"National Institute of Environmental Health Sciences; Seventh Framework Programme; Biotechnology and Biological Sciences Research Council; Ministry of Health and Welfare; Cancer Prevention and Research Institute of Texas; University of Texas Medical Branch; National Institutes of Health; Cancer Research Institute","keywords":"Human proteome project; Proteome; Computational biology; Identification (biology); Data science; Computer science; Biology; Bioinformatics; Proteomics; Genetics; Gene","score_opus":0.15979057806121116,"score_gpt":0.46709149081097673,"score_spread":0.30730091274976556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144369203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75350803,0.0036320204,0.12930575,0.03358804,0.00037168735,0.047826957,0.0005805623,0.0008584226,0.030328525],"genre_scores_gemma":[0.49539146,0.0002812243,0.48028737,0.00012611691,0.0044852532,0.011565333,0.00009485497,0.00038300507,0.0073853913],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99618983,0.00014886529,0.00092898775,0.0004519795,0.0014249327,0.0008554149],"domain_scores_gemma":[0.99590135,0.00012710884,0.0007054933,0.0006510152,0.0021679,0.00044714182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040365034,0.0002879156,0.0004899757,0.0006464995,0.00048692376,0.00023138913,0.0009673097,0.00026212653,0.00010188798],"category_scores_gemma":[0.0010888247,0.00023867442,0.00020679549,0.0007623111,0.0002090815,0.00039704412,0.00019055043,0.0015779847,0.000034978657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086518726,0.00093734585,0.000095377574,0.0007247114,0.00008182102,0.000066951055,0.00024897975,0.000033059936,0.96892446,0.0031654288,0.020456145,0.0044005564],"study_design_scores_gemma":[0.002350264,0.0015825082,0.000007650565,0.00081021275,0.000019455636,0.00013808721,0.00017212627,0.00020769719,0.7715617,0.034907024,0.1878728,0.0003705183],"about_ca_topic_score_codex":0.00003681024,"about_ca_topic_score_gemma":0.0000029401385,"teacher_disagreement_score":0.35098162,"about_ca_system_score_codex":0.0009098955,"about_ca_system_score_gemma":0.0011781761,"threshold_uncertainty_score":0.973286},"labels":[],"label_agreement":null},{"id":"W2144435513","doi":"10.1109/bibmw.2010.5703778","title":"Speed improvements of peptide-spectrum matching using SIMD instructions","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"SIMD; Computer science; Speedup; Parallel computing; Matching (statistics); Computation; Tandem mass spectrometry; Algorithm; Mass spectrometry; Mathematics; Chemistry","score_opus":0.01322919648711105,"score_gpt":0.28392508812543177,"score_spread":0.2706958916383207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144435513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9283396,0.0000015405767,0.047134962,0.00005361005,0.000038839647,0.00008888769,0.000017432978,0.00012413693,0.02420101],"genre_scores_gemma":[0.7858143,0.0000030666472,0.21330357,0.000017269222,0.000058398524,0.000008091123,0.0000062056133,0.00001475591,0.0007743796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941957,0.0000011912243,0.00020949452,0.0001558558,0.000078483914,0.00013541337],"domain_scores_gemma":[0.99947256,0.000011408081,0.0001160089,0.0003275423,0.000030239707,0.000042250427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003630581,0.000086295484,0.00009698272,0.000030515157,0.000100184894,0.000012972605,0.00014547523,0.00007161261,0.000675904],"category_scores_gemma":[0.0000072918456,0.0000856655,0.000049436538,0.000080372796,0.000047061083,0.00009007397,0.000071996146,0.00023022499,0.000004167047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018952625,0.000027134443,0.00052712345,0.000014609486,0.000006621766,7.583192e-8,0.000019500669,0.000053876043,0.9831544,0.015393288,0.000014980826,0.000786499],"study_design_scores_gemma":[0.00011921607,0.000004562315,0.00005468501,0.0000084900985,0.000007910846,0.0000073297533,0.00008135154,0.00079105474,0.95743877,0.040554456,0.00083350105,0.00009870293],"about_ca_topic_score_codex":0.00028968495,"about_ca_topic_score_gemma":0.000050797164,"teacher_disagreement_score":0.16616862,"about_ca_system_score_codex":0.000020978507,"about_ca_system_score_gemma":0.000021338865,"threshold_uncertainty_score":0.7400675},"labels":[],"label_agreement":null},{"id":"W2144601868","doi":"10.1109/iccabs.2011.5729882","title":"Parallelizing Peptide-Spectrum scoring using modern graphics processing units","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Speedup; CUDA; Computer science; Tandem mass spectrometry; Parallel computing; Instruction set; Software; Peptide; Mass spectrometry; Algorithm; Chemistry; Chromatography; Operating system","score_opus":0.09177548051723143,"score_gpt":0.29176489038109776,"score_spread":0.19998940986386632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144601868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2973672,0.00012156014,0.6524797,0.00002592563,0.000008160072,0.00009465377,0.0000027496737,0.00051391055,0.04938616],"genre_scores_gemma":[0.786426,0.000039591563,0.2130162,0.00004655515,0.000048155507,0.000035676254,0.0000040999726,0.00003411914,0.00034956448],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910283,0.0000033766528,0.00022001048,0.00028299305,0.000103828934,0.00028697104],"domain_scores_gemma":[0.99942935,0.0000090418525,0.00011015421,0.00030677117,0.000069576614,0.00007511902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005962158,0.000153377,0.00012417891,0.000050860777,0.00025795464,0.0000333365,0.00021337577,0.000092818744,0.00014658898],"category_scores_gemma":[0.000010227462,0.00015434323,0.000038754897,0.0002493227,0.00005036662,0.00020850751,0.00008990925,0.00022675114,0.000003758969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056009303,0.00021356356,0.011294036,0.0004229471,0.0000534196,0.000020854279,0.002500594,0.0006243991,0.78439754,0.1775037,0.000053500615,0.02285944],"study_design_scores_gemma":[0.00018798842,0.000009350601,0.000038093687,0.00017925704,0.000025862471,0.00003162967,0.00026916782,0.07292407,0.78770906,0.13743004,0.0007275338,0.00046793566],"about_ca_topic_score_codex":0.00012811362,"about_ca_topic_score_gemma":0.000016455642,"teacher_disagreement_score":0.48905885,"about_ca_system_score_codex":0.00004485241,"about_ca_system_score_gemma":0.00004872622,"threshold_uncertainty_score":0.6293934},"labels":[],"label_agreement":null},{"id":"W2145503040","doi":"10.1373/clinchem.2012.199786","title":"Quantification of a Proteotypic Peptide from Protein C Inhibitor by Liquid Chromatography–Free SISCAPA-MALDI Mass Spectrometry: Application to Identification of Recurrence of Prostate Cancer","year":2013,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of Victoria","funders":"Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"Prostate cancer; Biomarker; Peptide; Analyte; Chemistry; Label-free quantification; Internal medicine; Prostate; Cancer; Medicine; Immunoassay; Chromatography; Proteomics; Quantitative proteomics; Immunology; Biochemistry; Antibody","score_opus":0.01465315560189495,"score_gpt":0.3102232490054989,"score_spread":0.29557009340360396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145503040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758235,0.00023521052,0.020382736,0.00051369454,0.000016639073,0.0016026922,0.0011099078,0.00008835723,0.00022721074],"genre_scores_gemma":[0.9661379,0.00014112759,0.029070213,0.000009639152,0.00009821709,0.0038826922,0.00036922857,0.000038746308,0.00025222715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968193,0.000027024851,0.0018737842,0.0007107861,0.00033285658,0.0002362405],"domain_scores_gemma":[0.9959436,0.00013373123,0.0018056316,0.0014441927,0.00051671814,0.00015612222],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002859102,0.00024176807,0.0005216712,0.00004752516,0.000046279507,0.000017163073,0.0007624182,0.0003051404,0.00021268596],"category_scores_gemma":[0.0004543267,0.00025507793,0.00019877838,0.00055534183,0.00031604563,0.00013648497,0.00012875216,0.00032896004,0.000008791414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013219043,0.0003650526,0.0055372575,0.00061050535,0.00003861081,4.779199e-8,0.000027645649,0.000008974933,0.9911415,0.000112251786,0.00058315543,0.0014428197],"study_design_scores_gemma":[0.0003400153,0.00006404412,0.00071989774,0.00034462693,0.00003692753,2.3340506e-7,0.000052565934,0.00020504232,0.99307364,0.00453297,0.00039665928,0.00023336062],"about_ca_topic_score_codex":0.00019969592,"about_ca_topic_score_gemma":0.0000027122387,"teacher_disagreement_score":0.009685642,"about_ca_system_score_codex":0.000059552443,"about_ca_system_score_gemma":0.00011480722,"threshold_uncertainty_score":0.99999017},"labels":[],"label_agreement":null},{"id":"W2145606406","doi":"10.1227/01.neu.0000317302.85837.61","title":"PROTEOMICS","year":2008,"lang":"en","type":"review","venue":"Neurosurgery","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; York University; University of Toronto","funders":"","keywords":"Proteomics; Proteome; Computational biology; Systems biology; Organism; Function (biology); Genome; Biology; Bioinformatics; Medicine; Cell biology; Genetics; Gene","score_opus":0.05268313131537158,"score_gpt":0.3258674703686986,"score_spread":0.27318433905332706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145606406","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000026569705,0.9902768,0.0006952172,0.000008379526,0.00007703087,0.00038446454,0.00012106085,0.00046930564,0.007965093],"genre_scores_gemma":[2.0174222e-7,0.9889765,0.0065597,0.000043159413,0.00031832836,0.0014714941,0.00015451972,0.00014774031,0.002328357],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984324,0.000016476632,0.0005850298,0.0005242316,0.00014185804,0.00030001553],"domain_scores_gemma":[0.99845594,0.00014780718,0.00042632906,0.0008471638,0.000026919704,0.00009585095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003162039,0.00041291013,0.0010878926,0.00008649188,0.00013054554,0.000026828899,0.0003652082,0.00039953823,0.00017554052],"category_scores_gemma":[0.000061466664,0.0003772764,0.0006505942,0.00020810848,0.00007197118,0.000045779703,0.00012487495,0.00071560295,0.00015535572],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011774582,0.000045278535,0.00000206631,0.0052179904,0.00001603713,0.000034086675,0.0000017161672,4.8314223e-7,0.000056234327,0.00024061544,0.0061952504,0.98818904],"study_design_scores_gemma":[0.000018750135,0.000002118104,2.2370234e-8,0.0017198116,0.00004186119,0.00032297132,1.6934914e-7,0.0000022466504,0.000297104,0.00014661915,0.9971163,0.00033201982],"about_ca_topic_score_codex":0.0000016011994,"about_ca_topic_score_gemma":6.4271084e-8,"teacher_disagreement_score":0.9909211,"about_ca_system_score_codex":0.00006970626,"about_ca_system_score_gemma":0.00018477615,"threshold_uncertainty_score":0.9998679},"labels":[],"label_agreement":null},{"id":"W2145657056","doi":"10.1161/hh0801.090193","title":"Cardiovascular Proteomics","year":2001,"lang":"en","type":"review","venue":"Circulation Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Proteomics; Proteome; Identification (biology); Computational biology; Disease; Flexibility (engineering); Biology; Posttranslational modification; Bioinformatics; Medicine; Pathology; Biochemistry","score_opus":0.19735808689795376,"score_gpt":0.4525022184205882,"score_spread":0.25514413152263443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145657056","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000042008382,0.9592293,0.015018077,0.000012305037,0.000016370941,0.0013355681,0.00004134327,0.00021380017,0.024129054],"genre_scores_gemma":[0.000013025126,0.98914444,0.004764516,0.000002178816,0.00044040816,0.003521837,0.00038415272,0.00011700903,0.0016124565],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997386,0.00012022096,0.0005256044,0.0007099969,0.0007518778,0.00050630706],"domain_scores_gemma":[0.9976531,0.0001634662,0.00014734056,0.0015954234,0.00030575017,0.00013489428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092944683,0.0002932431,0.0009457007,0.00028062513,0.00033737218,0.00011449568,0.00063146534,0.00061757135,0.0006102146],"category_scores_gemma":[0.00014474159,0.00028404887,0.0008540369,0.0009958046,0.00013417935,0.000081212136,0.00020947262,0.0014109378,0.00037051723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.356899e-7,0.00002818074,0.0000042600245,0.0067789876,0.00014701826,0.000009033645,0.0000060498055,0.00007025105,0.000016249633,0.0014595658,0.00021523963,0.99126434],"study_design_scores_gemma":[0.00006050648,0.0000026492173,2.9407047e-7,0.0022734026,0.00011888379,0.00004291415,0.0000054527145,0.00009688109,0.00003181717,0.0027001856,0.99438983,0.0002771886],"about_ca_topic_score_codex":0.000041048523,"about_ca_topic_score_gemma":0.0000010747198,"teacher_disagreement_score":0.9941746,"about_ca_system_score_codex":0.00050839415,"about_ca_system_score_gemma":0.00032238165,"threshold_uncertainty_score":0.99996114},"labels":[],"label_agreement":null},{"id":"W2145866894","doi":"10.1186/1477-5956-5-8","title":"PrestOMIC, an open source application for dissemination of proteomic datasets by individual laboratories","year":2007,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Open source; Data science; Computer science; Computational biology; Biology; Software","score_opus":0.014172883633742849,"score_gpt":0.35279637295894084,"score_spread":0.338623489325198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145866894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48046622,0.00002001429,0.5145188,0.0000917978,0.000009995055,0.0028725576,0.0015941702,0.00010949525,0.0003169758],"genre_scores_gemma":[0.8224289,0.0000040215787,0.17384624,0.000019824914,0.00004145838,0.0028429,0.0006519544,0.000023088087,0.00014164955],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845666,0.000005922806,0.00034581806,0.00054744637,0.00032640024,0.00031776083],"domain_scores_gemma":[0.9985146,0.00006122982,0.00036850097,0.00068609137,0.00024349656,0.00012607076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411568,0.00013658377,0.0001490519,0.0000734056,0.0003640199,0.00013089781,0.0017376938,0.000081918944,0.000017278522],"category_scores_gemma":[0.0002498696,0.0001371759,0.000015911812,0.0005603598,0.00042269877,0.0010092489,0.000351575,0.00011382614,0.0000020026512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041766583,0.00011149365,0.00037374377,0.000050679675,0.0000021864694,3.359778e-8,0.000136561,0.0000057401003,0.9809011,0.0032174152,0.00019666574,0.014962615],"study_design_scores_gemma":[0.00015069678,0.000059533828,0.00019037549,0.000030009278,0.000007731822,0.0000014000996,0.00008765163,0.00044610963,0.9864255,0.0040821186,0.008344997,0.00017388524],"about_ca_topic_score_codex":0.000047109592,"about_ca_topic_score_gemma":0.0000070220144,"teacher_disagreement_score":0.34196264,"about_ca_system_score_codex":0.00008456606,"about_ca_system_score_gemma":0.00014826926,"threshold_uncertainty_score":0.5593871},"labels":[],"label_agreement":null},{"id":"W2146499600","doi":"10.1016/j.ecoenv.2011.09.020","title":"DIGE and iTRAQ as biomarker discovery tools in aquatic toxicology","year":2011,"lang":"en","type":"review","venue":"Ecotoxicology and Environmental Safety","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"National Institute of Environmental Health Sciences; University of Florida","keywords":"Ecotoxicology; Proteomics; Proteome; Biology; Quantitative proteomics; Bioindicator; Biomarker discovery; Computational biology; Proteogenomics; Biomarker; Aquatic toxicology; Toxicology; Chemistry; Bioinformatics; Toxicity; Biochemistry; Ecology; Genomics; Genome","score_opus":0.03204021757897586,"score_gpt":0.29569780914975835,"score_spread":0.2636575915707825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146499600","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054560644,0.98443395,0.00016405642,0.000034402397,0.000038688046,0.0008438646,0.0003362743,0.000051004416,0.008641698],"genre_scores_gemma":[0.003419353,0.99312407,0.00069315213,0.00009027424,0.000032665586,0.0007751104,0.0003882028,0.000049121547,0.0014280668],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983034,0.00006109188,0.00057384046,0.00065294973,0.000048345053,0.00036034908],"domain_scores_gemma":[0.9990465,0.00024851543,0.00024985432,0.00034772066,6.4099794e-7,0.00010676847],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013314343,0.00041816084,0.00095338846,0.00007514908,0.00013153857,0.0000208877,0.00020253763,0.0008256345,0.0011318902],"category_scores_gemma":[0.000017875282,0.00038507025,0.00015611007,0.000054395794,0.00044977997,0.00016973873,0.00034815448,0.00053809053,0.00005185445],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005092851,0.00028420775,0.00037001708,0.0014258976,0.000109934816,0.00002878699,0.000058452293,1.2559693e-7,0.0008627506,0.0016968517,0.000040321713,0.9950717],"study_design_scores_gemma":[0.0003446985,0.00007452311,0.0003163888,0.000593004,0.0001879943,0.00023487912,0.000036342142,0.000007263112,0.00026341222,0.0029900742,0.9944287,0.0005227365],"about_ca_topic_score_codex":0.0000123289565,"about_ca_topic_score_gemma":0.00003194689,"teacher_disagreement_score":0.994549,"about_ca_system_score_codex":0.00021885261,"about_ca_system_score_gemma":0.00003358625,"threshold_uncertainty_score":0.9998601},"labels":[],"label_agreement":null},{"id":"W2146862750","doi":"10.1002/1615-9861(200207)2:7<928::aid-prot928>3.0.co;2-p","title":"Identification of proteins from two-dimensional polyacrylamide gels using a novel acid-labile surfactant","year":2002,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Chromatography; Bottom-up proteomics; Chemistry; Mass spectrometry; Peptide mass fingerprinting; Matrix-assisted laser desorption/ionization; Protein mass spectrometry; Gel electrophoresis; Polyacrylamide gel electrophoresis; Peptide; Trypsin; Sample preparation; Pulmonary surfactant; Two-dimensional gel electrophoresis; Biochemistry; Proteomics; Tandem mass spectrometry; Desorption; Adsorption; Enzyme","score_opus":0.028395813901378335,"score_gpt":0.27355250702969586,"score_spread":0.24515669312831753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146862750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83231217,0.00015096532,0.16588147,0.00010865221,0.00002195705,0.00069224084,0.0004892174,0.0001333222,0.00020998897],"genre_scores_gemma":[0.647172,0.000013339364,0.35229838,0.000018996532,0.00008049245,0.00020287912,0.00003875099,0.00003690841,0.00013826729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99839634,0.0000105642,0.0006388228,0.00043613426,0.0002525561,0.0002655809],"domain_scores_gemma":[0.998544,0.000040190036,0.0005220928,0.0006587963,0.00015358775,0.00008136108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260367,0.0002157998,0.00025845668,0.000053208958,0.00015075922,0.00003452375,0.00031472422,0.00014906688,0.00052452926],"category_scores_gemma":[0.000073102674,0.00022905949,0.00010640998,0.00017612596,0.00011041251,0.00017595796,0.00012651885,0.00025438462,0.000021850625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021115116,0.00016097684,0.00028762856,0.000033455606,0.000022393488,5.682361e-7,0.00008154247,0.0014388557,0.99642044,0.0008057992,0.000007300138,0.00071994885],"study_design_scores_gemma":[0.00043995032,0.000010000803,0.000020209489,0.00005776589,0.000022564802,0.0000072457146,0.000016528167,0.05868753,0.93381476,0.006560218,0.00013027499,0.00023294239],"about_ca_topic_score_codex":0.00023790543,"about_ca_topic_score_gemma":0.000006634506,"teacher_disagreement_score":0.18641691,"about_ca_system_score_codex":0.00015219969,"about_ca_system_score_gemma":0.00004079694,"threshold_uncertainty_score":0.9340775},"labels":[],"label_agreement":null},{"id":"W2147679417","doi":"10.1109/iembs.2005.1615452","title":"A novel approach to speed up peptide sequencing via MS/MS spectra analysis","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence; Chromatography; Chemistry","score_opus":0.02515619008736522,"score_gpt":0.28007984383061574,"score_spread":0.25492365374325054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147679417","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043386362,0.000007176541,0.72902554,0.00025842857,0.0000030730348,0.00014012704,0.000016486994,0.00028861713,0.22687417],"genre_scores_gemma":[0.39993784,0.0000045618226,0.5883044,0.00023327365,0.00014455181,0.00006531151,0.000039446204,0.000020506886,0.011250095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881625,0.0000025354595,0.00028214592,0.0004448804,0.00015761562,0.00029658433],"domain_scores_gemma":[0.9990958,0.000018334023,0.00007870588,0.0006076172,0.00005105398,0.00014851682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000856445,0.00017864327,0.00023275739,0.00010635975,0.000101362515,0.000039152143,0.00029806557,0.00009220954,0.00090118573],"category_scores_gemma":[0.0000117414065,0.00017221205,0.00016940072,0.0006208935,0.000024522644,0.0000909955,0.000079841826,0.00018958138,0.000076597564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006858213,0.00008488978,0.0001400642,0.000012404985,0.00010971255,3.2170496e-7,0.00014400962,0.006819105,0.9850908,0.005804881,0.0004205799,0.0013663754],"study_design_scores_gemma":[0.00019091247,0.0000066049615,0.00005020256,0.00000651792,0.00015081682,0.000015460377,0.00013441873,0.053691022,0.933271,0.00096445996,0.0111523345,0.0003662825],"about_ca_topic_score_codex":0.00033214787,"about_ca_topic_score_gemma":0.00008706252,"teacher_disagreement_score":0.35655147,"about_ca_system_score_codex":0.00026839634,"about_ca_system_score_gemma":0.000026581392,"threshold_uncertainty_score":0.98673517},"labels":[],"label_agreement":null},{"id":"W2147849606","doi":"10.1093/bioinformatics/btq171","title":"PepC: proteomics software for identifying differentially expressed proteins based on spectral counting","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Pipeline (software); Computer science; Software; Proteomics; Java; MIT License; False discovery rate; Computational biology; Biology; Programming language; Biochemistry; Gene","score_opus":0.01931066443580819,"score_gpt":0.2745229701509697,"score_spread":0.2552123057151615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147849606","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13742502,0.0000015119805,0.8590798,0.00010234156,0.00007118233,0.0012062886,0.00023102282,0.00044597517,0.0014368624],"genre_scores_gemma":[0.1643492,0.0000022562112,0.83381724,0.00008827624,0.00018862798,0.0011358083,0.00019089958,0.00004619982,0.00018147475],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998733,0.0000025774393,0.00046817894,0.00019999869,0.00022954248,0.00036672715],"domain_scores_gemma":[0.9987453,0.00008935805,0.0003383034,0.000586508,0.00014862062,0.00009186536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013811335,0.00023545387,0.00019774199,0.000064418455,0.00031716237,0.00017166836,0.00038854388,0.00020022593,0.00011569456],"category_scores_gemma":[0.00024352442,0.00022623735,0.000119285505,0.000098736644,0.000058862675,0.00020609656,0.000061526254,0.00041539926,0.000016265793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009468036,0.00019410305,0.00040527663,0.0012496297,0.000019941266,7.5140656e-7,0.0002383695,0.00023180012,0.98451746,0.006868746,0.00041204752,0.005767199],"study_design_scores_gemma":[0.00070390076,0.00003902513,0.00003936786,0.00012804878,0.000021202886,0.0000024658393,0.000057505313,0.11016942,0.88019836,0.004030977,0.004241046,0.00036865904],"about_ca_topic_score_codex":0.0000038847156,"about_ca_topic_score_gemma":0.000007460222,"teacher_disagreement_score":0.10993762,"about_ca_system_score_codex":0.00005123331,"about_ca_system_score_gemma":0.00010008864,"threshold_uncertainty_score":0.9225691},"labels":[],"label_agreement":null},{"id":"W2148077003","doi":"10.3109/10715762.2012.684244","title":"SNO spectral counting (SNOSC), a label-free proteomic method for quantification of changes in levels of protein S-nitrosation","year":2012,"lang":"en","type":"article","venue":"Free Radical Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Peking Union Medical College; National Natural Science Foundation of China; Canadian Institute for Theoretical Astrophysics","keywords":"Nitrosation; Biotinylation; Chemistry; Quantitative proteomics; Proteomics; Biochemistry; Endogeny; Reagent; Computational biology; Biophysics; Biology","score_opus":0.14470104452185525,"score_gpt":0.4397737444255369,"score_spread":0.2950726999036817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148077003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6263862,0.00024341219,0.3664729,0.0024719147,0.000014623729,0.0028813651,0.0004943791,0.000065676824,0.0009695059],"genre_scores_gemma":[0.60313225,0.000018276018,0.39465478,0.0000040587133,0.00012562059,0.0018222302,0.000027612059,0.000025581936,0.00018958565],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981112,0.000102077676,0.0004461891,0.00028014823,0.00053137715,0.0005290115],"domain_scores_gemma":[0.998226,0.0004360461,0.00021848742,0.0007527904,0.00027079956,0.00009589699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00293958,0.000117890886,0.0002611056,0.00019822661,0.000102062164,0.000014132505,0.00064092904,0.00020085044,0.0001277522],"category_scores_gemma":[0.0025519659,0.00011769538,0.000052495663,0.00044401476,0.00024106284,0.00012499576,0.00017181363,0.0004384739,0.0000021736382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102638485,0.0002337946,0.0006651233,0.000459321,0.000008442148,1.2785483e-7,0.00013225718,0.0000031273541,0.93695205,0.054868765,0.00012277211,0.006451603],"study_design_scores_gemma":[0.00071689923,0.000072347066,0.0006808665,0.00015679623,0.0000052593423,0.0000011659059,0.000060024788,0.0025616179,0.9475023,0.046955988,0.001181267,0.00010543352],"about_ca_topic_score_codex":0.00022223528,"about_ca_topic_score_gemma":0.00007017195,"teacher_disagreement_score":0.028181873,"about_ca_system_score_codex":0.00017151934,"about_ca_system_score_gemma":0.00011726919,"threshold_uncertainty_score":0.47994784},"labels":[],"label_agreement":null},{"id":"W2148342716","doi":"10.1074/mcp.r600004-mcp200","title":"Discovery of Urinary Biomarkers","year":2006,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":403,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institutes of Health","keywords":"Urinary system; Proteomics; Biomarker discovery; Biomarker; Urine; Chemistry; Proteome; Exosome; Medicine; Internal medicine; Microvesicles; Biochemistry","score_opus":0.01631311989694141,"score_gpt":0.28531933137895055,"score_spread":0.26900621148200915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148342716","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00059594924,0.88186556,0.112447046,0.000007145952,0.000030532094,0.0013257819,0.0003667356,0.00015192862,0.0032093155],"genre_scores_gemma":[0.000091332106,0.9098553,0.085966825,0.000007632147,0.0000947345,0.0012475043,0.0013634559,0.0002474252,0.0011257537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99726534,0.000054748987,0.0011206385,0.0008086583,0.0003002882,0.00045034144],"domain_scores_gemma":[0.99740297,0.000038843536,0.0008578618,0.0015533587,0.000068603294,0.000078351964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016146935,0.0007244758,0.0015478664,0.00017650695,0.00008788654,0.00005996366,0.0009074707,0.000762273,0.000036915073],"category_scores_gemma":[0.000024383296,0.00071483554,0.0011334188,0.00035943324,0.00020074111,0.0000990146,0.00038527272,0.000648709,0.000020248995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039921557,0.0010756803,0.000004471238,0.08702602,0.0011055098,0.00047387337,0.00001607756,0.000052353735,0.5920889,0.010737904,0.0004811025,0.30689824],"study_design_scores_gemma":[0.00012213722,0.000023110426,1.6792624e-8,0.0032009692,0.00047660642,0.000059020782,0.0000024044157,0.000025746993,0.5425907,0.001177598,0.45170662,0.000615091],"about_ca_topic_score_codex":0.000042999083,"about_ca_topic_score_gemma":4.8437334e-7,"teacher_disagreement_score":0.45122552,"about_ca_system_score_codex":0.00021199616,"about_ca_system_score_gemma":0.00026717674,"threshold_uncertainty_score":0.99953026},"labels":[],"label_agreement":null},{"id":"W2148346685","doi":"10.1182/blood-2005-12-4995","title":"Quantitative proteomics reveals posttranslational control as a regulatory factor in primary hematopoietic stem cells","year":2006,"lang":"en","type":"article","venue":"Blood","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Christie (Canada)","funders":"Directorate for Biological Sciences; Wellcome Trust","keywords":"Proteome; Biology; Stem cell; Proteomics; Haematopoiesis; Isobaric labeling; Quantitative proteomics; Transcriptome; Cell biology; Biochemistry; Computational biology; Gene expression; Gene","score_opus":0.010987654769448546,"score_gpt":0.24733490181651435,"score_spread":0.2363472470470658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148346685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835524,0.00024816988,0.009795175,0.00014170275,0.000008002131,0.0006365467,0.00028319884,0.0001337153,0.0052010673],"genre_scores_gemma":[0.9585487,0.000010357079,0.040103648,0.0000752005,0.000048126996,0.0004226135,0.000050960494,0.00003568169,0.00070469227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884784,0.000018180694,0.0004042725,0.0003152766,0.0001824991,0.00023195264],"domain_scores_gemma":[0.9993247,0.00009902372,0.0001716103,0.00030228813,0.00005472635,0.00004765842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008266616,0.0001757348,0.0002416918,0.00005047827,0.00006494558,0.0000219466,0.0001698337,0.00014896649,0.000095620875],"category_scores_gemma":[0.0000041931457,0.00018672466,0.00007924006,0.00011096146,0.000058963305,0.00009077433,0.000020466921,0.00021106891,0.00002580121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004148002,0.0003453567,0.0049223443,0.00009934549,0.000014917239,0.000006703421,0.00007776867,0.00006865939,0.979709,0.014624612,0.000036951395,0.000052827043],"study_design_scores_gemma":[0.001945041,0.00003616407,0.0018248642,0.000097576165,0.000027541013,0.000018051938,0.0000373642,0.000080943995,0.97130835,0.024042051,0.00028616327,0.00029590743],"about_ca_topic_score_codex":0.000033210854,"about_ca_topic_score_gemma":0.0000073443084,"teacher_disagreement_score":0.030308474,"about_ca_system_score_codex":0.00006792939,"about_ca_system_score_gemma":0.000082433544,"threshold_uncertainty_score":0.76144105},"labels":[],"label_agreement":null},{"id":"W2148810272","doi":"10.1002/pmic.200400970","title":"Increased quantitative proteome coverage with <sup>13</sup>C/<sup>12</sup>C‐based, acid‐cleavable isotope‐coded affinity tag reagent and modified data acquisition scheme","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute","keywords":"Chemistry; Reagent; Chromatography; Proteome; Mass spectrometry; Tandem mass spectrometry; Electrospray ionization; Biochemistry; Organic chemistry","score_opus":0.03443276875391796,"score_gpt":0.28303459313966267,"score_spread":0.2486018243857447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148810272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6991311,0.00014100467,0.29148036,0.00083701214,0.0000053995777,0.0033797973,0.0015407184,0.0005812944,0.002903348],"genre_scores_gemma":[0.53635764,0.00013205402,0.45971167,0.00033347786,0.00014260708,0.0017602287,0.0012443962,0.000108577544,0.00020936318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964159,0.00009411675,0.0007713262,0.0014423569,0.00050346553,0.00077284523],"domain_scores_gemma":[0.996478,0.00014966077,0.0005327288,0.0022243995,0.00025891335,0.00035629695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064562645,0.0006847849,0.0006507241,0.00014172372,0.00058860483,0.00025508492,0.0010284701,0.00036003767,0.00034605866],"category_scores_gemma":[0.0002080372,0.00066488405,0.00009836411,0.00033859996,0.0003143334,0.0010241796,0.0006153215,0.0008622252,0.00005552572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005818025,0.0022953413,0.004310771,0.0013913999,0.0004515145,0.00005587282,0.0013472162,0.07503356,0.8902269,0.013277451,0.0015434206,0.004248535],"study_design_scores_gemma":[0.0030271683,0.0001908294,0.000054889417,0.0002407797,0.000090901485,0.000029795945,0.0001530709,0.44501638,0.54399854,0.004081144,0.0021911324,0.0009253257],"about_ca_topic_score_codex":0.00032340648,"about_ca_topic_score_gemma":0.00003752836,"teacher_disagreement_score":0.36998284,"about_ca_system_score_codex":0.00031831014,"about_ca_system_score_gemma":0.00029813967,"threshold_uncertainty_score":0.99958026},"labels":[],"label_agreement":null},{"id":"W2149313980","doi":"10.1681/asn.2013030233","title":"Global Analysis Reveals the Complexity of the Human Glomerular Extracellular Matrix","year":2014,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Biotechnology and Biological Sciences Research Council; Wellcome Trust; Vanderbilt University; Directorate for Biological Sciences; American Heart Association; U.S. Department of Veterans Affairs","keywords":"Extracellular matrix; Proteome; Proteomics; Laminin; Glomerular basement membrane; Biology; Cell biology; Renal glomerulus; Quantitative proteomics; Glomerulus; Computational biology; Chemistry; Glomerulonephritis; Biochemistry; Kidney; Endocrinology; Gene","score_opus":0.020625678813003413,"score_gpt":0.312862538823332,"score_spread":0.29223686001032856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149313980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97065645,0.00029549844,0.01959017,0.009151079,0.00001230808,0.00008531994,0.0000331186,0.000008261978,0.000167819],"genre_scores_gemma":[0.9784841,0.00007830519,0.020310951,0.0008708383,0.000114514245,0.0000041243065,9.914312e-7,0.000008444083,0.00012771357],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986988,0.00014153862,0.00059561926,0.000120458666,0.0002670525,0.0001765508],"domain_scores_gemma":[0.9962795,0.000104382365,0.002614602,0.00078896404,0.00017465207,0.00003789242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005267,0.00012219847,0.00052666035,0.000010543427,0.00022332142,0.0000066636685,0.0012351663,0.000067067274,0.00005301094],"category_scores_gemma":[0.000027017082,0.0000643975,0.0011890732,0.0006374549,0.0025188539,0.000026866714,0.00022355084,0.00033040592,3.1630947e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030385481,0.00013143542,0.03150239,0.000030907766,0.0011556655,1.7953508e-7,0.00016713473,0.0011030608,0.9485809,0.010502759,0.0061983014,0.00059683225],"study_design_scores_gemma":[0.0015474093,0.00046560087,0.400443,0.0001058666,0.006143832,0.00024958898,0.002533376,0.004872685,0.13131802,0.33964205,0.11202259,0.00065598666],"about_ca_topic_score_codex":0.00012525279,"about_ca_topic_score_gemma":0.000009885802,"teacher_disagreement_score":0.81726295,"about_ca_system_score_codex":0.00006262359,"about_ca_system_score_gemma":0.000037798378,"threshold_uncertainty_score":0.9280822},"labels":[],"label_agreement":null},{"id":"W2149613372","doi":"10.1002/prca.201400126","title":"Impact of allele‐specific peptides in proteome quantification","year":2015,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute","keywords":"Proteome; Biomarker discovery; Computational biology; Biomarker; Proteomics; Biology; Human proteome project; Bioinformatics; Genetics; Gene","score_opus":0.19213102453010147,"score_gpt":0.49304093242192976,"score_spread":0.30090990789182825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149613372","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022313328,0.91748685,0.06701412,0.00005731871,0.000026619859,0.01074454,0.0012949215,0.00035194625,0.0028005608],"genre_scores_gemma":[0.00010860458,0.8636623,0.10560177,0.0000051384554,0.00031845813,0.02834469,0.0015303663,0.00016570184,0.00026298358],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936625,0.0001351228,0.003894574,0.0013977047,0.0003664933,0.00054363377],"domain_scores_gemma":[0.9935834,0.00049984583,0.0026365356,0.0025030938,0.0004500158,0.0003271196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013923105,0.000761807,0.0027652455,0.00031883753,0.00011522115,0.000061327984,0.0015755845,0.0012404275,0.00015700057],"category_scores_gemma":[0.0002040275,0.0006804108,0.0014453769,0.0011052208,0.0004394999,0.00014244282,0.00032514165,0.0017521288,0.00023300905],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038118895,0.0016873982,0.00029383722,0.005570881,0.00019930296,0.0000012826691,0.000023960216,0.000028843811,0.00050051336,0.009454064,0.0007816363,0.98142016],"study_design_scores_gemma":[0.00040896775,0.00007757214,0.000023584696,0.0015814233,0.00019200661,0.000013238963,0.000008225547,0.000062870655,0.0001639877,0.017154222,0.979613,0.0007009002],"about_ca_topic_score_codex":0.000058125293,"about_ca_topic_score_gemma":0.000007637235,"teacher_disagreement_score":0.98071927,"about_ca_system_score_codex":0.000648504,"about_ca_system_score_gemma":0.0010419223,"threshold_uncertainty_score":0.9995647},"labels":[],"label_agreement":null},{"id":"W2150160398","doi":"10.1158/0008-5472.can-05-3466","title":"Discovering Clinical Biomarkers of Ionizing Radiation Exposure with Serum Proteomic Analysis","year":2006,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Proteomics; Ionizing radiation; Blood proteins; Biomarker; Surface-enhanced laser desorption/ionization; Biomarker discovery; Cancer; Chemistry; Medicine; Mass spectrometry; Chromatography; Tandem mass spectrometry; Internal medicine; Irradiation; Biochemistry; Protein mass spectrometry","score_opus":0.0483729673986435,"score_gpt":0.41514205389060205,"score_spread":0.36676908649195855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150160398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880587,0.00023755082,0.00976916,0.00025167727,0.000005844874,0.00026058208,0.00005934189,0.000045680696,0.0013114581],"genre_scores_gemma":[0.99175483,0.00020379658,0.0069636893,0.000003525548,0.00012674209,0.00048847066,0.00003299564,0.000019639057,0.00040628167],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987962,0.00003549231,0.00031205558,0.00030559776,0.00029680037,0.00025385665],"domain_scores_gemma":[0.9992005,0.00007710346,0.00012966616,0.00038995047,0.0001516487,0.00005109897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045380674,0.00008463582,0.00018978828,0.0001412373,0.00013045837,0.000028949235,0.00020848526,0.00008699559,0.00015807146],"category_scores_gemma":[0.000023758203,0.000073203024,0.00008985424,0.00087674876,0.00017525622,0.00008986571,0.00006350015,0.00029234038,0.0000017289258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016317103,0.00009053399,0.5574755,0.00012363849,0.00030301342,0.0000024704068,0.000037001868,0.0027526615,0.42887378,0.00080772466,0.00021485961,0.009155638],"study_design_scores_gemma":[0.00047430396,0.000048087815,0.026511062,0.00008683558,0.00008432824,7.992993e-7,0.000091315094,0.00093112304,0.9695193,0.001057639,0.0010336107,0.00016157803],"about_ca_topic_score_codex":0.000712659,"about_ca_topic_score_gemma":0.00015554934,"teacher_disagreement_score":0.54064554,"about_ca_system_score_codex":0.0001528221,"about_ca_system_score_gemma":0.00013047374,"threshold_uncertainty_score":0.2985133},"labels":[],"label_agreement":null},{"id":"W2150204892","doi":"10.1074/mcp.m110.001420","title":"An Isotopically Coded CID-cleavable Biotinylated Cross-linker for Structural Proteomics","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":142,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Chemistry; Linker; Cleavage (geology); Peptide; Mass spectrometry; Bottom-up proteomics; Tandem mass spectrometry; Combinatorial chemistry; Proteomics; Computational biology; Chromatography; Biochemistry; Protein mass spectrometry; Biology; Computer science","score_opus":0.007167221099260603,"score_gpt":0.28623276190533514,"score_spread":0.27906554080607454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150204892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6532142,0.000030024223,0.34352592,0.00011557928,0.000081241444,0.0019486942,0.00014153613,0.00039870435,0.00054407434],"genre_scores_gemma":[0.5209312,0.0000074949276,0.47672847,0.00014278316,0.00019239176,0.0011225323,0.00040946592,0.00013851654,0.00032719632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99711466,0.00002464511,0.0007206481,0.0010124957,0.00031119108,0.00081635604],"domain_scores_gemma":[0.9972678,0.000029771101,0.0003783273,0.0015980004,0.00038990309,0.0003362178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030091818,0.0005324348,0.00044029194,0.00008208471,0.0004884296,0.0003465292,0.0011010687,0.00077802426,0.00026120408],"category_scores_gemma":[0.0001273099,0.0005598155,0.00029126124,0.00020781436,0.00028189222,0.00025210727,0.0002451829,0.0010486527,0.000022453785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012915207,0.000101441314,0.00050841406,0.000115754796,0.00003732228,0.000011252489,0.000036281843,0.00031820807,0.9869749,0.010944515,0.000026283049,0.0007964776],"study_design_scores_gemma":[0.0010836659,0.00009079968,0.000029006073,0.000020220681,0.00003977574,0.000021750238,0.000010877828,0.023428017,0.945307,0.025857527,0.0034244303,0.00068693474],"about_ca_topic_score_codex":0.000042930074,"about_ca_topic_score_gemma":0.000012036885,"teacher_disagreement_score":0.13320255,"about_ca_system_score_codex":0.00010227984,"about_ca_system_score_gemma":0.0001747333,"threshold_uncertainty_score":0.99968535},"labels":[],"label_agreement":null},{"id":"W2150813246","doi":"10.1002/rcm.6462","title":"Combination of Edman degradation of peptides with liquid chromatography/mass spectrometry workflow for peptide identification in bottom‐up proteomics","year":2012,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Chemistry; Edman degradation; Chromatography; Mass spectrometry; Proteomics; Bottom-up proteomics; Peptide; Identification (biology); Top-down proteomics; Protein mass spectrometry; Tandem mass spectrometry; Peptide sequence; Biochemistry","score_opus":0.020258705577953676,"score_gpt":0.28984409447597054,"score_spread":0.26958538889801686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150813246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7617996,0.0010302386,0.23322089,0.00035095372,0.000031189044,0.0013541097,0.00008833729,0.000115624905,0.0020091103],"genre_scores_gemma":[0.58128065,0.00076766557,0.41662815,0.0000049540654,0.00002160094,0.000932953,0.00026184454,0.00003941454,0.00006274489],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975806,0.00009476031,0.0011714025,0.00036916137,0.0003219478,0.00046211897],"domain_scores_gemma":[0.9960755,0.00041167557,0.0010216597,0.0021635308,0.00024873324,0.000078919344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095558836,0.00029438536,0.00051121827,0.0011464118,0.00014730371,0.000030007244,0.0011634275,0.000229407,0.000049498187],"category_scores_gemma":[0.00016685919,0.00032611415,0.00015653332,0.0024241416,0.0003139137,0.0005213788,0.00012264172,0.0005564686,0.000002113606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018408398,0.00087419036,0.04245004,0.0002780642,0.000054349104,8.750372e-8,0.00021977026,0.00005227054,0.90356785,0.05168105,0.00002000916,0.0006182337],"study_design_scores_gemma":[0.0013355158,0.00020764016,0.010205183,0.00034496267,0.00005733285,0.000005466644,0.00084663904,0.0016713095,0.96767235,0.017127814,0.00011355133,0.00041221455],"about_ca_topic_score_codex":0.00005323277,"about_ca_topic_score_gemma":0.000049041377,"teacher_disagreement_score":0.18340726,"about_ca_system_score_codex":0.00039534524,"about_ca_system_score_gemma":0.00008508551,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W2150952405","doi":"10.1002/pmic.200900266","title":"Experimental and computational tools useful for (re)construction of dynamic kinase–substrate networks","year":2009,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Effector; Context (archaeology); Phosphorylation; Kinase; Computational biology; Computer science; Throughput; Proteomics; Systems biology; Biology; Cell biology; Biochemistry; Gene","score_opus":0.03615357643868291,"score_gpt":0.3369595672903739,"score_spread":0.300805990851691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150952405","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030847758,0.65071774,0.34662896,0.000010127432,0.00002315755,0.0016960239,0.00036417585,0.0000850698,0.00016630978],"genre_scores_gemma":[0.00020480176,0.5630308,0.43460962,0.0000064809237,0.000070690025,0.0012844164,0.00071788224,0.00004549036,0.00002983387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862206,0.000012028133,0.00063431973,0.0004269787,0.000093641735,0.00021099782],"domain_scores_gemma":[0.9988311,0.00010115083,0.00065758167,0.00027808285,0.00006898176,0.00006312159],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008456569,0.00033901847,0.000787656,0.0000593351,0.00010925291,0.000047316375,0.00020379508,0.00038279855,0.000021674341],"category_scores_gemma":[0.000014412499,0.0003467956,0.00024047468,0.00009525659,0.00012268382,0.00009296016,0.000058300095,0.0002987034,8.022214e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022445705,0.00008836258,0.000001961997,0.00483604,0.000073833515,6.819449e-7,0.000015095201,0.00027017988,0.001113391,0.0062573324,0.00002001367,0.98730063],"study_design_scores_gemma":[0.0032825456,0.0005561725,0.000008080979,0.02683452,0.0017961316,0.0006224819,0.00022340889,0.0696592,0.049504712,0.11045257,0.73234713,0.004713049],"about_ca_topic_score_codex":0.0000015194785,"about_ca_topic_score_gemma":3.954082e-7,"teacher_disagreement_score":0.98258764,"about_ca_system_score_codex":0.0001445005,"about_ca_system_score_gemma":0.00009560466,"threshold_uncertainty_score":0.99989843},"labels":[],"label_agreement":null},{"id":"W2151131844","doi":"10.1016/j.ygyno.2005.04.002","title":"Proteomic analysis of a preneoplastic phenotype in ovarian surface epithelial cells derived from prophylactic oophorectomies","year":2005,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Phenotype; Epithelial ovarian cancer; Pathology; Cancer research; Ovarian cancer; Internal medicine; Gene; Biology; Genetics; Cancer","score_opus":0.012155281039317524,"score_gpt":0.27322800200128183,"score_spread":0.2610727209619643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151131844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99131286,0.000048972975,0.0053880266,0.00023871599,0.000044504675,0.000518134,0.00016076588,0.0000936328,0.0021943755],"genre_scores_gemma":[0.89501727,0.000056808807,0.10427964,0.000056821762,0.000056233355,0.00032210228,0.000059104812,0.000018378629,0.0001336611],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835473,0.00008146945,0.00059218874,0.0005040492,0.00010823706,0.0003593128],"domain_scores_gemma":[0.9983294,0.00064951275,0.0004370306,0.00043691814,0.00007602,0.000071109935],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017151397,0.00022427249,0.0007101823,0.00015263245,0.000065299995,0.000010370418,0.00036184044,0.00039045568,0.0019041041],"category_scores_gemma":[0.00018614244,0.00021021916,0.00013778178,0.0005733061,0.00016553179,0.0000672365,0.0001303294,0.0003481104,0.00004112371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001633448,0.0004515063,0.0061385515,0.000022117123,0.00017544086,0.000007375242,0.00024476068,0.015467056,0.97372985,0.00018655286,0.000009356658,0.0034041053],"study_design_scores_gemma":[0.0009287339,0.00018638106,0.012666672,0.000007775367,0.0004425372,0.0000011844118,0.0000736962,0.007559763,0.97381693,0.0032643462,0.0007737629,0.00027819508],"about_ca_topic_score_codex":0.00034917958,"about_ca_topic_score_gemma":0.0008781486,"teacher_disagreement_score":0.098891616,"about_ca_system_score_codex":0.0004901842,"about_ca_system_score_gemma":0.00022004978,"threshold_uncertainty_score":0.9990083},"labels":[],"label_agreement":null},{"id":"W2151797643","doi":"10.1016/j.mrgentox.2010.06.016","title":"Recent developments in quantitative proteomics","year":2010,"lang":"en","type":"review","venue":"Mutation Research/Genetic Toxicology and Environmental Mutagenesis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences","keywords":"Proteomics; Context (archaeology); Shotgun proteomics; Computational biology; Quantitative proteomics; Mass spectrometry; Tandem mass spectrometry; Data science; Profiling (computer programming); Chemistry; Computer science; Chromatography; Biology; Biochemistry","score_opus":0.08063634607613136,"score_gpt":0.39645852482307825,"score_spread":0.3158221787469469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151797643","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018802734,0.97767174,0.0004581789,0.000052632196,0.00004388201,0.0017431554,0.00022087396,0.000049599752,0.00095723063],"genre_scores_gemma":[0.0005010489,0.94752306,0.047318377,0.000019461504,0.00003317998,0.0036203372,0.00039308012,0.000076202195,0.00051522814],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974471,0.00021310175,0.00069406227,0.0008101942,0.00029294772,0.0005425966],"domain_scores_gemma":[0.9988246,0.00036078625,0.00024523653,0.00038872924,0.000018356126,0.00016229041],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004442414,0.00038631083,0.0007076495,0.00034757704,0.00029885423,0.000039082282,0.0003563858,0.00084116374,0.0006002449],"category_scores_gemma":[0.00010280963,0.00038441768,0.00008769511,0.00029656274,0.0005550763,0.000056462002,0.0003175911,0.0011829673,0.00009378792],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001688221,0.00017271082,0.00011012672,0.00086687517,0.000034917735,0.00004487486,0.00011526701,0.00000795931,0.0028976519,0.00018752334,0.000011057132,0.9955342],"study_design_scores_gemma":[0.00030046146,0.00007845497,0.00024224044,0.0005834401,0.000064352884,0.000090150315,0.00020333464,0.000046601952,0.0035762286,0.000924125,0.99341464,0.00047598637],"about_ca_topic_score_codex":0.000010917948,"about_ca_topic_score_gemma":0.000040876246,"teacher_disagreement_score":0.9950582,"about_ca_system_score_codex":0.00046680946,"about_ca_system_score_gemma":0.00017585223,"threshold_uncertainty_score":0.99986076},"labels":[],"label_agreement":null},{"id":"W2151862334","doi":"10.1373/clinchem.2011.165969","title":"Searching for New Biomarkers of Renal Diseases through Proteomics","year":2011,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Biomarker discovery; Biomarker; Nephrology; Medicine; Bioinformatics; The Renaissance; Intensive care medicine; Data science; Computational biology; Computer science; Internal medicine; Biology","score_opus":0.17277252814855523,"score_gpt":0.462969325184376,"score_spread":0.2901967970358208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151862334","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000032256783,0.9775874,0.014177207,0.000023416871,0.000035908928,0.0010978335,0.00097461446,0.00019725028,0.005874085],"genre_scores_gemma":[0.0000036672816,0.8906528,0.10490309,0.000010808737,0.00077694026,0.00081487896,0.00069533946,0.00011034671,0.0020321482],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970831,0.000019411515,0.0016266872,0.000781245,0.000130466,0.0003590755],"domain_scores_gemma":[0.9965885,0.00074220175,0.0012020022,0.0011052369,0.00008750335,0.00027452444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021156779,0.00045673063,0.0016580538,0.000014702834,0.000081282196,0.000019745748,0.0009310053,0.0008817771,0.0002977788],"category_scores_gemma":[0.0006843653,0.0004099965,0.0015023823,0.00012815767,0.00031430897,0.000054883647,0.0002780704,0.000786613,0.0000069854864],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069693946,0.00026081433,0.000019858855,0.041318614,0.00042376158,0.0000017859309,0.000007065632,1.800237e-7,0.00024584882,0.000705116,0.0029468634,0.9540004],"study_design_scores_gemma":[0.00029080934,0.000017607606,5.6935278e-8,0.006561307,0.00069514255,0.000007638742,0.000004076892,0.0000066240264,0.010066134,0.011027266,0.9708991,0.0004242434],"about_ca_topic_score_codex":0.000007918235,"about_ca_topic_score_gemma":1.6886305e-7,"teacher_disagreement_score":0.96795225,"about_ca_system_score_codex":0.00007450633,"about_ca_system_score_gemma":0.0007562688,"threshold_uncertainty_score":0.9998352},"labels":[],"label_agreement":null},{"id":"W2153658751","doi":"10.1016/j.jprot.2011.11.002","title":"Identification and quantification of peptides and proteins secreted from prostate epithelial cells by unbiased liquid chromatography tandem mass spectrometry using goodness of fit and analysis of variance","year":2011,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chemistry; Chromatography; Tandem mass spectrometry; Mass spectrometry; Analysis of variance; Liquid chromatography–mass spectrometry; Peptide; Ion trap; Analytical Chemistry (journal); Biochemistry; Mathematics","score_opus":0.022261494539533123,"score_gpt":0.2625931767831489,"score_spread":0.24033168224361579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153658751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6825596,0.00019334829,0.31656113,0.000010469729,0.0000066439334,0.0002796155,0.00037681233,0.0000061102564,0.00000625214],"genre_scores_gemma":[0.7772465,0.00046342815,0.22222441,0.0000018029857,0.000012910147,0.000015118658,0.000016243841,0.000014345244,0.0000052774826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985047,0.00003386365,0.0009407799,0.00022310077,0.00018487903,0.0001126993],"domain_scores_gemma":[0.9969144,0.00005223328,0.0023891232,0.00026289801,0.00031194196,0.00006941828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035944715,0.00014878654,0.0005035923,0.0002746858,0.00005493337,0.0000198439,0.00015197182,0.00012773577,0.000013611996],"category_scores_gemma":[0.00004610072,0.00014427934,0.00010068182,0.00050182024,0.00022599255,0.00020352183,0.000036295183,0.00016474955,3.0907973e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000257832,0.000100246725,0.0069069467,0.00018434649,0.00031823112,5.099604e-7,0.0003583079,0.000045096294,0.9915279,0.00019144878,8.7576126e-7,0.000108244814],"study_design_scores_gemma":[0.00042901342,0.00013532072,0.0028868814,0.00014161327,0.00054693414,0.0000043921773,0.000182616,0.003805994,0.9887831,0.0029559096,0.0000023413604,0.00012586851],"about_ca_topic_score_codex":0.00011179967,"about_ca_topic_score_gemma":0.0000036332447,"teacher_disagreement_score":0.09468685,"about_ca_system_score_codex":0.00002610934,"about_ca_system_score_gemma":0.000048870934,"threshold_uncertainty_score":0.5883541},"labels":[],"label_agreement":null},{"id":"W2153670686","doi":"10.1039/b503916a","title":"Precise proteomic identification using mass spectrometry coupled with stable isotope labeling","year":2005,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Mass spectrometry; Chemistry; Isotope; Identification (biology); Stable isotope ratio; Characterization (materials science); Throughput; Proteomics; Chromatography; Tandem mass spectrometry; Computational biology; Analytical Chemistry (journal); Computer science; Nanotechnology; Biochemistry; Materials science; Biology","score_opus":0.015567077630151378,"score_gpt":0.2741188871076687,"score_spread":0.2585518094775173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153670686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6548283,0.00009719417,0.34336734,0.00027995283,0.0000033686779,0.0002647252,0.000011107194,0.00011316038,0.0010348281],"genre_scores_gemma":[0.8107615,0.00005110756,0.18713361,0.000025789546,0.00013666392,0.00014248243,0.00002286758,0.000028139475,0.0016978412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991061,0.000010169083,0.00025432638,0.00025313345,0.00016499577,0.00021125482],"domain_scores_gemma":[0.9989906,0.000022967497,0.00021650638,0.0006486836,0.0000809065,0.000040334413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021169179,0.00012874321,0.00014654247,0.000051148567,0.00027062083,0.00007796582,0.00031329223,0.000050761337,0.00028259243],"category_scores_gemma":[0.000010549566,0.00009288592,0.000047098012,0.00036010437,0.000051332423,0.00015042457,0.000037965667,0.00019355975,0.00003256076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002223377,0.000028583167,0.00032517675,0.000015222458,0.000035502628,4.1817475e-7,0.000036335983,0.0054883645,0.9932218,0.00053277455,0.00001974714,0.0002738507],"study_design_scores_gemma":[0.00018329483,0.000006351288,0.000029755907,0.00003494784,0.00009921239,0.000008075662,0.00008313156,0.078823715,0.9180414,0.0015737283,0.0009526756,0.0001636908],"about_ca_topic_score_codex":0.00007802203,"about_ca_topic_score_gemma":0.000017980174,"teacher_disagreement_score":0.15623373,"about_ca_system_score_codex":0.0001523455,"about_ca_system_score_gemma":0.000036058358,"threshold_uncertainty_score":0.3787778},"labels":[],"label_agreement":null},{"id":"W2153796162","doi":"10.1016/j.jpba.2011.02.012","title":"Proteomics by mass spectrometry—Go big or go home?","year":2011,"lang":"en","type":"review","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Proteome; Chemistry; Mass spectrometry; Proteomics; Computational biology; Data science; Biochemical engineering; Chromatography; Computer science; Biochemistry; Engineering; Biology","score_opus":0.06246275439921232,"score_gpt":0.3849406659658751,"score_spread":0.3224779115666628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153796162","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031773794,0.89577526,0.10290708,0.00026119233,0.0000599346,0.00020444399,0.000360147,0.000041152794,0.00035904362],"genre_scores_gemma":[0.000029578638,0.95825714,0.039460395,0.0000713357,0.00067127007,0.00005108597,0.000105197556,0.000044241136,0.0013097435],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967663,0.000068551744,0.0016786185,0.00047795204,0.0005307667,0.00047778522],"domain_scores_gemma":[0.9971756,0.00023243998,0.0012222221,0.0003277738,0.00013488585,0.0009070784],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005195872,0.0005297707,0.002544237,0.0006535063,0.00011297421,0.00007121203,0.0007492817,0.000638728,0.0030493774],"category_scores_gemma":[0.00009760732,0.00031057707,0.0013865393,0.0020319112,0.0004434405,0.00007468327,0.00018287725,0.0016746247,0.000023233355],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008890857,0.00050838635,0.0000149242505,0.0046155234,0.004636713,0.00009530494,0.00000889281,4.3019902e-8,0.0032204906,0.00015012882,0.0024277673,0.9842329],"study_design_scores_gemma":[0.00034535566,0.00009768046,1.9780842e-7,0.00091567344,0.012770072,0.00022642153,0.0000068343147,0.00005952839,0.0012448597,0.0008858727,0.9830289,0.00041861946],"about_ca_topic_score_codex":0.0000041117373,"about_ca_topic_score_gemma":5.832384e-7,"teacher_disagreement_score":0.9838143,"about_ca_system_score_codex":0.0001619342,"about_ca_system_score_gemma":0.00021202785,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W2154059754","doi":"10.1002/pmic.201100296","title":"Peptide arrays for kinome analysis: New opportunities and remaining challenges","year":2011,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Kinome; Phosphorylation; Computational biology; Biology; Kinase; Protein phosphorylation; Function (biology); Protein kinase A; Cell biology","score_opus":0.22533155834532567,"score_gpt":0.35532580263432756,"score_spread":0.1299942442890019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154059754","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000014875118,0.9064162,0.087394245,0.000081917286,0.000013958927,0.0011982142,0.00019708881,0.00020926108,0.00448764],"genre_scores_gemma":[6.307438e-7,0.71951264,0.2753591,0.000014306965,0.00025155238,0.0024945831,0.00022037275,0.00008616916,0.002060645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821484,0.000015808273,0.0006556091,0.00066922564,0.00008347328,0.00036102207],"domain_scores_gemma":[0.9981536,0.00011190462,0.0007141778,0.00075456966,0.0000669222,0.00019878845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022308035,0.0005059493,0.0015199126,0.00021277065,0.00015279111,0.000055057655,0.00043397298,0.00047070446,0.00006798007],"category_scores_gemma":[0.000049488073,0.0004801567,0.0005602018,0.00014598342,0.000079812344,0.00011866484,0.00016479165,0.00039480967,0.0000039022148],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008760675,0.000024284327,5.8186265e-7,0.013235316,0.00077535916,0.0000016531712,0.0001505384,9.2215515e-7,0.000022154389,0.06031247,0.00009079379,0.9253772],"study_design_scores_gemma":[0.000097350545,0.000018707262,5.1989602e-8,0.0020257465,0.0022201424,0.000015509333,0.00008191063,0.000026740065,0.00017425633,0.013213931,0.9815977,0.0005279597],"about_ca_topic_score_codex":0.00001702043,"about_ca_topic_score_gemma":0.000007635357,"teacher_disagreement_score":0.9815069,"about_ca_system_score_codex":0.00008695578,"about_ca_system_score_gemma":0.00024838408,"threshold_uncertainty_score":0.99976504},"labels":[],"label_agreement":null},{"id":"W2154511147","doi":"10.1074/mcp.r800015-mcp200","title":"A Human Proteome Detection and Quantitation Project","year":2009,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Cancer Institute; National Institutes of Health","keywords":"Proteome; Human proteome project; Computational biology; Chemistry; Chromatography; Proteomics; Biology; Biochemistry; Gene","score_opus":0.030585864548016824,"score_gpt":0.33241032115209884,"score_spread":0.301824456604082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154511147","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014257175,0.8825749,0.10941263,0.000013809748,0.00002006592,0.0049652825,0.000056932724,0.0004635915,0.0010670441],"genre_scores_gemma":[0.0002982578,0.911797,0.08322638,0.00002225008,0.00015348288,0.003351593,0.00042316155,0.00024015659,0.00048771565],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99730045,0.00008374513,0.00085661217,0.0010185495,0.00027785136,0.0004628222],"domain_scores_gemma":[0.9980614,0.000017544082,0.00077387097,0.0009395301,0.00009361829,0.000114003844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002529382,0.0007501467,0.001179935,0.00026840687,0.00032494738,0.00017103889,0.00043153763,0.00084968685,0.000019864456],"category_scores_gemma":[0.00004511903,0.0007586504,0.000447672,0.00038932584,0.00010750041,0.000115344636,0.00016067953,0.000997937,0.00001956835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062698477,0.00010391458,1.5775936e-7,0.011040215,0.0000934534,0.00004245819,0.000035910263,0.0000024316973,0.48744053,0.002449241,0.000010184964,0.49877524],"study_design_scores_gemma":[0.00025350763,0.00010468851,6.3498646e-8,0.0034679086,0.0005255367,0.00009982306,0.000011777581,0.00008953154,0.4758503,0.0046650907,0.51388943,0.0010423358],"about_ca_topic_score_codex":0.000035811954,"about_ca_topic_score_gemma":0.0000039290708,"teacher_disagreement_score":0.51387924,"about_ca_system_score_codex":0.00025622285,"about_ca_system_score_gemma":0.00016237074,"threshold_uncertainty_score":0.99948645},"labels":[],"label_agreement":null},{"id":"W2155897878","doi":"10.1021/pr070025y","title":"Determining the Overall Merit of Protein Identification Data Sets: <i>rho-</i>Diagrams and<i>rho-</i>Scores","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute","keywords":"Plot (graphics); Set (abstract data type); Scatter plot; Sequence (biology); Correctness; Identification (biology); Computer science; Data set; Algorithm; Diagram; Figure of merit; Mathematics; Statistics; Chemistry; Biology","score_opus":0.10874799151770072,"score_gpt":0.4259747304332191,"score_spread":0.3172267389155184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155897878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98140043,0.00058656227,0.015112733,0.001124021,0.00002065143,0.0010013191,0.00006411864,0.000025436517,0.0006647064],"genre_scores_gemma":[0.9588083,0.0003795485,0.04014187,0.00001681607,0.00023216731,0.00008992702,0.00002050125,0.000033394233,0.00027746605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974391,0.00008296105,0.0008918921,0.0002839691,0.00090428465,0.0003977862],"domain_scores_gemma":[0.99708253,0.00032500655,0.00070976716,0.0009770544,0.0007684969,0.00013716712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005465531,0.00013925215,0.00025402405,0.00017441703,0.00026760413,0.00010674076,0.0013527352,0.00012392661,0.00004657172],"category_scores_gemma":[0.0008305961,0.00010008247,0.00006839703,0.00033568192,0.00034983494,0.00042378544,0.00051607465,0.0010154184,0.0000033692802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013322142,0.00014167753,0.00233305,0.00022706087,0.000036390553,0.000009105336,0.00015376792,0.0000028396048,0.9670454,0.0009002837,0.00029788128,0.028719269],"study_design_scores_gemma":[0.00061680336,0.00016242,0.0024168498,0.0003895621,0.000021748121,0.00006838548,0.00024553045,0.0003109047,0.96944827,0.016376168,0.009767149,0.00017622641],"about_ca_topic_score_codex":0.000032590662,"about_ca_topic_score_gemma":0.000011310143,"teacher_disagreement_score":0.028543042,"about_ca_system_score_codex":0.00008652532,"about_ca_system_score_gemma":0.00014199542,"threshold_uncertainty_score":0.44115442},"labels":[],"label_agreement":null},{"id":"W2156332606","doi":"10.1109/bibmw.2010.5703779","title":"An adaptive approach to denoising tandem mass spectra","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Linear discriminant analysis; Pattern recognition (psychology); Noise (video); Noise reduction; Computer science; Tandem; Artificial intelligence; Set (abstract data type); Training set; Discriminant; Resolution (logic); Mathematics; Image (mathematics); Materials science","score_opus":0.016321980834032367,"score_gpt":0.278681239947794,"score_spread":0.2623592591137616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156332606","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08185872,0.0000018852783,0.67862236,0.00006389376,0.0000068582917,0.000102210965,0.0000051084753,0.0002562305,0.23908272],"genre_scores_gemma":[0.49889013,8.4354264e-7,0.5001502,0.00006144527,0.00008627167,0.00006466398,0.0000061570486,0.000012521697,0.00072775205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939775,0.0000019660379,0.00010321476,0.00025695295,0.000075048374,0.00016508912],"domain_scores_gemma":[0.9994005,0.000010280375,0.00002946212,0.0004066692,0.000031931453,0.00012113985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005022431,0.00009377388,0.00008096667,0.000018992821,0.00009239957,0.00003277529,0.00022070033,0.00008745871,0.00028821715],"category_scores_gemma":[0.0000063850507,0.00008794712,0.000027157841,0.000079755504,0.00002355691,0.000075594544,0.000024211084,0.00024746906,0.000023507637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043165765,0.000046325495,0.00012231326,0.0000020690418,0.000002620987,2.7190725e-7,0.0000328438,0.000029017367,0.9154973,0.0825345,0.00009281337,0.00163562],"study_design_scores_gemma":[0.00006439275,0.000015322054,0.000031537216,0.0000026027792,0.000004261574,0.0000059781682,0.00014720792,0.0018774879,0.96995145,0.022738844,0.0049927444,0.000168192],"about_ca_topic_score_codex":0.000018712763,"about_ca_topic_score_gemma":0.000010007685,"teacher_disagreement_score":0.4170314,"about_ca_system_score_codex":0.000023860746,"about_ca_system_score_gemma":0.0000146371,"threshold_uncertainty_score":0.35863793},"labels":[],"label_agreement":null},{"id":"W2156355974","doi":"10.1016/j.cell.2006.03.022","title":"A Mammalian Organelle Map by Protein Correlation Profiling","year":2006,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":585,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Organelle; Protein subcellular localization prediction; Organelle biogenesis; Biogenesis; Subcellular localization; Proteomics; Computational biology; Cell biology; Genomics; Gene expression profiling; Membrane protein; Gene; Genome; Genetics; Gene expression","score_opus":0.0050782670119603095,"score_gpt":0.21464252549522264,"score_spread":0.20956425848326232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156355974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54530895,0.0002826375,0.29592487,0.0003530639,0.000027016822,0.00072973216,0.00007432794,0.00060875237,0.15669063],"genre_scores_gemma":[0.8756368,0.0000021298347,0.061127994,0.000016435173,0.00008851353,0.000232693,0.00026611294,0.000027652468,0.06260164],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994882,0.000002842014,0.00013623018,0.00017472525,0.000063079264,0.00013492015],"domain_scores_gemma":[0.99966717,0.000006659485,0.000075435804,0.00019992182,0.000023951592,0.00002683631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027604357,0.000083217856,0.000060974493,0.00001073479,0.00008355313,0.000016188313,0.00009439255,0.00008420267,0.000373895],"category_scores_gemma":[0.0000023390492,0.00008842386,0.000024514406,0.000054379878,0.000018985766,0.000039747018,0.000024027104,0.00012094983,0.000120389384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003134606,0.000045411,0.00031104684,0.000044728462,5.4437845e-7,6.627576e-7,0.0000060816647,0.000030012825,0.9942889,0.0011439588,0.00400128,0.00012423814],"study_design_scores_gemma":[0.00011547484,0.000004252317,0.0000023708278,0.000009692797,0.0000031631976,8.0827687e-7,0.000015629295,0.00053570257,0.94269836,0.006331039,0.050177462,0.000106050655],"about_ca_topic_score_codex":0.000033692657,"about_ca_topic_score_gemma":9.258776e-7,"teacher_disagreement_score":0.33032787,"about_ca_system_score_codex":0.000040067356,"about_ca_system_score_gemma":0.000012139936,"threshold_uncertainty_score":0.40938878},"labels":[],"label_agreement":null},{"id":"W2156824433","doi":"10.1109/iembs.2005.1615546","title":"Elimination of Redundant Protein Identifications in High Throughput Proteomics","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Redundancy (engineering); Proteomics; Computer science; Tandem mass spectrometry; Computational biology; Throughput; Identification (biology); Mass spectrometry; Set (abstract data type); Chemistry; Biology; Chromatography; Biochemistry; Gene","score_opus":0.0119221859505688,"score_gpt":0.2775342445020165,"score_spread":0.2656120585514477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156824433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8014449,0.000024041163,0.1829165,0.0024062973,0.0000057310185,0.0007277964,0.000027689306,0.00015067325,0.012296349],"genre_scores_gemma":[0.6545895,0.000016671072,0.34249175,0.000012218012,0.000029029785,0.0006301103,0.00002812156,0.000011278367,0.0021913867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914885,0.0000058731684,0.00038414518,0.00021856783,0.00010994776,0.000132593],"domain_scores_gemma":[0.9993246,0.000014450656,0.00016339823,0.0003898382,0.00008174626,0.000025925647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103153485,0.00009107077,0.00011826256,0.000058619975,0.000046926427,0.000012888926,0.00018988061,0.000085373744,0.00030079857],"category_scores_gemma":[0.000034709083,0.000092745046,0.00003538713,0.00017916987,0.000054082277,0.00015811269,0.00004365872,0.00012761778,0.00001740172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069582748,0.00014055667,0.00008992375,0.000031750897,0.0000026594769,1.2753816e-7,0.000065533975,0.00013213653,0.8574984,0.13824987,0.000050373346,0.00373167],"study_design_scores_gemma":[0.00018944936,0.0000065105273,0.00020108072,0.000041321007,0.0000035878356,0.0000013377723,0.000052355463,0.0010026118,0.97522056,0.02126645,0.0019106638,0.000104068844],"about_ca_topic_score_codex":0.00010071375,"about_ca_topic_score_gemma":0.00007124261,"teacher_disagreement_score":0.15957522,"about_ca_system_score_codex":0.000103733255,"about_ca_system_score_gemma":0.000035462886,"threshold_uncertainty_score":0.37820333},"labels":[],"label_agreement":null},{"id":"W2156830760","doi":"10.1109/iembs.2007.4352517","title":"Quantification of uncertainty of peptide retention time predictions from a sequence-based model in LC-MS/MS proteomics experiments","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University","funders":"","keywords":"Peptide; Mass spectrometry; Proteomics; Identification (biology); Set (abstract data type); Chromatography; Sequence (biology); Peptide fragment; Bottom-up proteomics; Computer science; Retention time; Chemistry; Computational biology; Biological system; Tandem mass spectrometry; Protein mass spectrometry; Biology; Biochemistry","score_opus":0.058579654371146664,"score_gpt":0.3090262901331679,"score_spread":0.25044663576202125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156830760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73196185,0.000010895395,0.26427084,0.000056569803,0.0000060557427,0.00040685222,0.0001264185,0.00008529291,0.0030751924],"genre_scores_gemma":[0.9170716,0.000018756826,0.082235605,0.000008592489,0.000018629911,0.00030741462,0.00015117598,0.000018236424,0.00017001816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859446,0.0000027868193,0.00061488507,0.00036782117,0.00021128863,0.00020878224],"domain_scores_gemma":[0.9987355,0.00002879426,0.0005030942,0.00022621661,0.00044442172,0.00006197766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002340456,0.00016028315,0.00023740661,0.00011195401,0.000055313296,0.000017842915,0.0002818486,0.0001820542,0.000099738696],"category_scores_gemma":[0.00007881836,0.00017549585,0.000064754815,0.00023698753,0.00016852566,0.00019000328,0.000043542324,0.00020156286,0.0000029974165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098445635,0.0001321611,0.0024525872,0.00008347285,0.000007343976,1.17559736e-7,0.00043845773,0.0010066847,0.991333,0.0041150823,0.000022583592,0.00031007582],"study_design_scores_gemma":[0.00027543114,0.000021363287,0.00020077592,0.0002382136,0.000011967296,3.6842374e-7,0.00018267018,0.28536418,0.7028674,0.010698255,0.000022554024,0.00011681718],"about_ca_topic_score_codex":0.00026177958,"about_ca_topic_score_gemma":0.000015533915,"teacher_disagreement_score":0.28846556,"about_ca_system_score_codex":0.00015271304,"about_ca_system_score_gemma":0.00013706929,"threshold_uncertainty_score":0.71565133},"labels":[],"label_agreement":null},{"id":"W2157085323","doi":"10.4137/cin.s385","title":"Comparison of a Label-Free Quantitative Proteomic Method Based on Peptide Ion Current Area to the Isotope Coded Affinity Tag Method","year":2008,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; Canadian Institute for Theoretical Astrophysics","keywords":"Label-free quantification; Peptide; Quantitative proteomics; Chromatography; Isotope; Chemistry; Isotope dilution; Mass spectrometry; Analytical Chemistry (journal); Proteomics; Computer science; Data mining; Computational biology; Biology; Biochemistry","score_opus":0.10891920174752828,"score_gpt":0.4296092979863048,"score_spread":0.32069009623877653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157085323","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06974664,0.00007984265,0.92454565,0.00050209835,0.00004849293,0.0010516305,0.00046857208,0.00010922385,0.0034478554],"genre_scores_gemma":[0.05682397,0.000083546285,0.9409112,0.0003069029,0.00004476509,0.0016757356,0.000045323643,0.000025600542,0.0000829926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985032,0.00004478729,0.00072503573,0.00015889444,0.000319916,0.00024816053],"domain_scores_gemma":[0.9978577,0.00032768562,0.0006006506,0.00087498967,0.00024298854,0.00009596925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036081852,0.00022741916,0.0003955868,0.00007010769,0.00023146963,0.000017863933,0.0006464531,0.000092390816,0.0000874424],"category_scores_gemma":[0.00024784874,0.00017358125,0.000092503506,0.0003188313,0.0000774414,0.00010879873,0.0001458113,0.00045590955,0.000013436518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019161198,0.0021535421,0.0060060234,0.0034914035,0.00024826007,0.0000021859046,0.04582877,0.52832836,0.16128823,0.03487321,0.08653263,0.12933126],"study_design_scores_gemma":[0.0006710877,0.00011740068,0.000046601777,0.0002475815,0.00003553961,0.0000018497176,0.000612465,0.30544442,0.6678605,0.0010152085,0.023685776,0.00026156488],"about_ca_topic_score_codex":0.000051494564,"about_ca_topic_score_gemma":0.000022124108,"teacher_disagreement_score":0.5065723,"about_ca_system_score_codex":0.00018818276,"about_ca_system_score_gemma":0.00018725937,"threshold_uncertainty_score":0.7078438},"labels":[],"label_agreement":null},{"id":"W2157343878","doi":"10.1586/epr.11.55","title":"Quantitative proteomics of complex mixtures","year":2011,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"","keywords":"Isobaric labeling; Tandem mass tag; Proteome; Proteomics; Quantitative proteomics; Mass spectrometry; Computational biology; Stable isotope labeling by amino acids in cell culture; Tandem mass spectrometry; Chemistry; Label-free quantification; Isotopic labeling; Chromatography; Protein mass spectrometry; Biology; Biochemistry","score_opus":0.10044863224122891,"score_gpt":0.4200810835350273,"score_spread":0.3196324512937984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157343878","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.9253946e-7,0.95654094,0.033007447,0.000026718692,0.000037833142,0.0043180794,0.0005337281,0.00010005583,0.005434498],"genre_scores_gemma":[7.956395e-8,0.5529159,0.4438719,0.000044360684,0.00006990861,0.002593047,0.00026351272,0.00009427491,0.00014703145],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960102,0.000108642074,0.002492047,0.0007210286,0.00028402414,0.00038406823],"domain_scores_gemma":[0.9941148,0.00015297264,0.0035705813,0.0016497882,0.00038593734,0.00012588839],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042002302,0.0008254788,0.0041028885,0.00013611423,0.00007793724,0.000010638345,0.0014068262,0.0005496334,0.0007919264],"category_scores_gemma":[0.0003038685,0.00067519996,0.0013291222,0.000403606,0.000371194,0.00009531754,0.00035973807,0.0007129602,0.000026235099],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033219792,0.00031116544,3.010147e-7,0.5761391,0.0003203489,0.000002165754,0.00011780325,1.09802244e-7,0.013016518,0.022148227,0.0027954674,0.3851156],"study_design_scores_gemma":[0.00009407444,0.00008289821,1.2657915e-8,0.16988975,0.00028979068,0.000022151647,0.000009082996,0.0000036522947,0.022581613,0.0011157156,0.80536354,0.00054774847],"about_ca_topic_score_codex":0.000054552198,"about_ca_topic_score_gemma":0.0000013801796,"teacher_disagreement_score":0.802568,"about_ca_system_score_codex":0.00014407819,"about_ca_system_score_gemma":0.0003991021,"threshold_uncertainty_score":0.9995699},"labels":[],"label_agreement":null},{"id":"W2157440617","doi":"10.1093/bfgp/elp006","title":"Quantitative proteomics for drug toxicity","year":2009,"lang":"en","type":"review","venue":"Briefings in Functional Genomics and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Oak Ridge Institute for Science and Education; Canadian Institute for Theoretical Astrophysics","keywords":"Drug development; Drug; Biology; Toxicity; Proteomics; Drug toxicity; Quantitative proteomics; Drug discovery; Computational biology; Pharmacology; Bioinformatics; Medicine; Internal medicine","score_opus":0.0551293660799528,"score_gpt":0.3272106499530751,"score_spread":0.2720812838731223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157440617","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040618432,0.8979882,0.094525404,0.00033428788,0.00008026243,0.004586412,0.0010857228,0.00016266304,0.00083086354],"genre_scores_gemma":[0.0000024628746,0.6854595,0.30961877,0.00019070787,0.00022949632,0.0032611098,0.0005146016,0.00010943781,0.0006139137],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970258,0.000028884602,0.0011433854,0.0010879365,0.00017088169,0.0005431499],"domain_scores_gemma":[0.9980126,0.00036296138,0.0008374115,0.0004963333,0.00014415065,0.00014656974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047324784,0.0007345187,0.0014938675,0.0002109369,0.00032330852,0.00014581907,0.0004026547,0.0006483572,0.000035486933],"category_scores_gemma":[0.00015357992,0.00076144404,0.00044915607,0.00024014722,0.00015484434,0.00012984949,0.00018290643,0.00092411845,0.0000080152495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049829594,0.00042079226,0.000007303981,0.018633964,0.0002662554,0.000007110145,0.00017962845,0.00017326279,0.003283735,0.14491941,0.0025102473,0.8291],"study_design_scores_gemma":[0.0004831129,0.000063582775,8.1804205e-7,0.0021134776,0.00016807395,0.000056285327,0.000016502181,0.00046145494,0.0011217196,0.048604388,0.94603163,0.0008789279],"about_ca_topic_score_codex":0.0000491453,"about_ca_topic_score_gemma":0.000021266984,"teacher_disagreement_score":0.9435214,"about_ca_system_score_codex":0.00055782887,"about_ca_system_score_gemma":0.0005181833,"threshold_uncertainty_score":0.99948364},"labels":[],"label_agreement":null},{"id":"W2158135404","doi":"10.1186/1477-5956-10-s1-s12","title":"An unsupervised machine learning method for assessing quality of tandem mass spectra","year":2012,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Computer science; Quality (philosophy); Unsupervised learning; Tandem; Artificial intelligence; Machine learning; Data science; Materials science; Physics","score_opus":0.05629761092202229,"score_gpt":0.417450446373047,"score_spread":0.3611528354510247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158135404","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15799358,0.000052417425,0.83914924,0.000068407324,0.000013385722,0.0003399061,0.0000145639715,0.00012323263,0.0022452616],"genre_scores_gemma":[0.4932157,0.0000033022263,0.5065043,0.000009392545,0.000041857624,0.00015758064,0.000005439865,0.000008942415,0.00005347859],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986957,0.000031127758,0.0002941495,0.00031589548,0.00026956463,0.00039356822],"domain_scores_gemma":[0.9990003,0.00009983479,0.00023885457,0.000379863,0.00013761895,0.00014354073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019613253,0.0001153421,0.00018555335,0.000055575496,0.00036424288,0.000057871108,0.00046668525,0.000058371497,0.00007950402],"category_scores_gemma":[0.00028387495,0.000106767395,0.00005393285,0.0003682792,0.00019839212,0.0006975664,0.000054118787,0.00020008479,0.0000013182917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058665632,0.000050042065,0.007076073,0.000058952595,0.000001696313,2.5572769e-8,0.000102160135,0.00006450176,0.98100686,0.0069870483,3.2619474e-7,0.004646474],"study_design_scores_gemma":[0.00015342726,0.000018262692,0.0008672005,0.000018013101,0.000005412433,0.0000016072896,0.00008861699,0.01413778,0.972648,0.01150708,0.00040153717,0.00015303782],"about_ca_topic_score_codex":0.000038674516,"about_ca_topic_score_gemma":8.6693285e-7,"teacher_disagreement_score":0.33522213,"about_ca_system_score_codex":0.00007940281,"about_ca_system_score_gemma":0.00007105672,"threshold_uncertainty_score":0.4353848},"labels":[],"label_agreement":null},{"id":"W2158139747","doi":"10.1111/j.1365-2443.2012.01615.x","title":"Mass spectrum sequential subtraction speeds up searching large peptide <scp>MS</scp>/<scp>MS</scp> spectra datasets against large nucleotide databases for proteogenomics","year":2012,"lang":"en","type":"article","venue":"Genes to Cells","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministrstvo za visoko šolstvo, znanost in tehnologijo; Ministry of Education, Science and Technology; Japan Science and Technology Agency; Ministère de la Santé et des Services sociaux; Japan Society for the Promotion of Science; Uddannelses- og Forskningsministeriet","keywords":"Proteogenomics; Sequence database; Peptide; Database search engine; Biology; Subtraction; Computational biology; Database; Set (abstract data type); Identification (biology); Computer science; Genome; Gene; Genetics; Genomics; Biochemistry; Search engine; Mathematics","score_opus":0.028999618392793573,"score_gpt":0.30062073768532804,"score_spread":0.27162111929253446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158139747","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64381987,0.00033790804,0.32434776,0.000117126285,0.00038568658,0.0025341897,0.02277573,0.0005144969,0.005167229],"genre_scores_gemma":[0.36531857,0.0020129762,0.573225,0.0011351366,0.007996832,0.002478801,0.03056662,0.0008614303,0.016404642],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958132,0.000056166333,0.0007547796,0.0010042927,0.00043803037,0.0019335414],"domain_scores_gemma":[0.99696016,0.00037392252,0.00045354752,0.0015000183,0.00008755003,0.00062477996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087509,0.00062702765,0.0005223294,0.00018837328,0.0007048339,0.00020984822,0.00082724774,0.00023764482,0.00015499892],"category_scores_gemma":[0.00019507285,0.00070568465,0.00028323694,0.0003000047,0.00006999546,0.0007310859,0.000511069,0.0006422027,0.00039841208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018815594,0.00032313794,0.0007103804,0.00022141148,0.000077815144,0.0000084635,0.00026649502,0.0002549299,0.97473574,0.0027000653,0.020152517,0.0005302518],"study_design_scores_gemma":[0.00039788368,0.000026359108,0.000032738735,0.00003297752,0.000051983836,0.000011444636,0.00027447927,0.00040989992,0.557109,0.00041273792,0.44110006,0.0001404235],"about_ca_topic_score_codex":0.000086539934,"about_ca_topic_score_gemma":0.00009033562,"teacher_disagreement_score":0.42094752,"about_ca_system_score_codex":0.00035828486,"about_ca_system_score_gemma":0.00013252972,"threshold_uncertainty_score":0.99953943},"labels":[],"label_agreement":null},{"id":"W2158395929","doi":"10.1186/1477-5956-4-15","title":"Phosphoprotein analysis: from proteins to proteomes.","year":2006,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Phosphorylation; Protein phosphorylation; Proteomics; Serine; Computational biology; Identification (biology); Phosphoproteomics; Threonine; Phosphorylation cascade; Tyrosine phosphorylation; Biochemistry; Chemistry; Posttranslational modification; Biology; Protein kinase A; Enzyme; Gene","score_opus":0.007300134920316518,"score_gpt":0.2597404916226313,"score_spread":0.2524403567023148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158395929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6503378,0.00007818239,0.32848227,0.00085700094,0.000022112143,0.00279795,0.00019464547,0.0007283244,0.016501706],"genre_scores_gemma":[0.7031439,0.0000019161655,0.29022017,0.000083602055,0.0001326074,0.005174574,0.000023363185,0.000024900846,0.0011949625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969379,0.000008956091,0.00046096294,0.0011325565,0.00075632,0.00070333283],"domain_scores_gemma":[0.9980691,0.0000190345,0.00021174422,0.0011997148,0.00023462274,0.00026577964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040059767,0.00028899318,0.0003238801,0.0003430483,0.0005381081,0.00022845331,0.0012908601,0.00010520803,0.0012904955],"category_scores_gemma":[0.00010587535,0.00027261372,0.00013833611,0.0037066236,0.00039377142,0.00034397378,0.0003492695,0.00028630128,0.00023904127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013792718,0.00009027661,0.001430824,0.0000121345,0.000018122813,0.0000028419502,0.000038924765,0.00037558188,0.99285614,0.0030360254,0.000047240508,0.0020780833],"study_design_scores_gemma":[0.00015348589,0.000021892487,0.0013137095,0.000032221345,0.00004478054,8.872447e-7,0.000019663512,0.0009946593,0.96756303,0.023290876,0.006167006,0.00039779904],"about_ca_topic_score_codex":0.0019128729,"about_ca_topic_score_gemma":0.000049831233,"teacher_disagreement_score":0.052806098,"about_ca_system_score_codex":0.00025837342,"about_ca_system_score_gemma":0.00018686919,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null},{"id":"W2158576281","doi":"10.1093/bioinformatics/bti829","title":"Quality classification of tandem mass spectrometry data","year":2005,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Mascot; Identification (biology); Computer science; Bottleneck; Tandem mass spectrometry; Process (computing); Data mining; Replicate; Quality (philosophy); Mass spectrometry; Artificial intelligence; Information retrieval; Chemistry; Chromatography; Mathematics; Biology; Statistics","score_opus":0.0656602963842446,"score_gpt":0.34696959766278473,"score_spread":0.28130930127854015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158576281","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027491214,0.000058291625,0.8567832,0.00039652735,0.000012529307,0.00014130758,0.00035354582,0.00018873002,0.11457461],"genre_scores_gemma":[0.32696941,0.00007906086,0.672326,0.000033817243,0.0000621594,0.00001080943,0.00028413752,0.000007173056,0.00022742397],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914175,0.0000031493,0.00048634483,0.000100086814,0.00015167428,0.0001170028],"domain_scores_gemma":[0.9985254,0.000039263974,0.0003252402,0.0010239239,0.00004679633,0.000039373397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019341131,0.000079707715,0.00012474896,0.00003210988,0.000044600092,0.000013641555,0.0004700772,0.00008148352,0.0001686294],"category_scores_gemma":[0.000057264755,0.00007660992,0.00002865412,0.00012279932,0.00004685287,0.00026911072,0.000099325545,0.00010741829,0.0000333924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021291075,0.0002425453,0.006298449,0.0005540263,0.000057624413,1.5924215e-7,0.00030577907,0.000052869982,0.7458137,0.113736674,0.005941709,0.12697512],"study_design_scores_gemma":[0.0006644401,0.000023190205,0.002317916,0.000066426444,0.000038636488,0.0000075012035,0.0007196927,0.14771181,0.69583416,0.012762168,0.13929851,0.00055551744],"about_ca_topic_score_codex":0.0000027228891,"about_ca_topic_score_gemma":0.000002041432,"teacher_disagreement_score":0.2994782,"about_ca_system_score_codex":0.000053363266,"about_ca_system_score_gemma":0.000030390094,"threshold_uncertainty_score":0.31240618},"labels":[],"label_agreement":null},{"id":"W2159308908","doi":"10.1016/j.jasms.2010.09.001","title":"The extent and effects of peptide sequence scrambling via formation of macrocyclic <i>b</i> ions in model proteins","year":2010,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; York University; Deutsches Krebsforschungszentrum","keywords":"Chemistry; Scrambling; Peptide; Tandem mass spectrometry; Mass spectrometry; Proteomics; Peptide sequence; Sequence (biology); Peptide mass fingerprinting; Ion; Chromatography; Bottom-up proteomics; Biochemistry; Protein mass spectrometry; Organic chemistry","score_opus":0.009435841194204318,"score_gpt":0.2779671098633543,"score_spread":0.26853126866915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159308908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7434883,0.00008620218,0.255546,0.0005610853,0.000012358873,0.00023536065,0.000012201804,0.0000059794424,0.000052485462],"genre_scores_gemma":[0.73878914,0.00033268597,0.26072973,0.000044956076,0.000030767493,0.000036895504,4.5331603e-7,0.00001042798,0.000024904417],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914366,0.0000086470445,0.00041520403,0.0000851713,0.00018477102,0.00016256399],"domain_scores_gemma":[0.9981682,0.00020613833,0.0012252383,0.00025517857,0.00010738348,0.000037891947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029712255,0.00009468004,0.00023424809,0.000032836266,0.00013100004,0.000013418643,0.00034129512,0.000040894807,8.5485186e-7],"category_scores_gemma":[0.0000903901,0.00006120335,0.0003277239,0.00030434335,0.00030676427,0.00010758529,0.000060517425,0.00044064215,3.513267e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025784515,0.000038068658,0.00022647332,0.00010436931,0.00002347185,9.4395084e-8,0.00011008511,0.00020236809,0.99703956,0.00079297175,0.00003405062,0.0014027247],"study_design_scores_gemma":[0.00030349745,0.00007803449,0.00014353194,0.00008825079,0.0000386853,0.000023937018,0.00032947757,0.01592701,0.95659864,0.026295839,0.00009797686,0.00007511264],"about_ca_topic_score_codex":0.000016199921,"about_ca_topic_score_gemma":0.0000053239214,"teacher_disagreement_score":0.04044089,"about_ca_system_score_codex":0.000082228275,"about_ca_system_score_gemma":0.000045694775,"threshold_uncertainty_score":0.24958003},"labels":[],"label_agreement":null},{"id":"W2159403112","doi":"10.1016/j.jala.2005.04.007","title":"Design and Automated Control of the Electron Microscopy Proteomic Organellar Preparation Robot","year":2005,"lang":"en","type":"article","venue":"JALA Journal of the Association for Laboratory Automation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Modular design; Throughput; Computer science; Robot; Instrument control; Sample preparation; Computer hardware; Artificial intelligence; Chemistry; Chromatography","score_opus":0.00463212533375335,"score_gpt":0.26867550918724964,"score_spread":0.2640433838534963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159403112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8796167,0.00012263925,0.11725883,0.0017730014,0.00006657468,0.00097473565,0.000047823803,0.00010810101,0.000031613323],"genre_scores_gemma":[0.97043693,0.000021495642,0.029148255,0.0000798353,0.00009637462,0.00006577172,0.0000032533114,0.000017260321,0.00013083204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989131,0.00011080663,0.0005257182,0.00009580174,0.00023070627,0.00012387976],"domain_scores_gemma":[0.99679846,0.00014783627,0.0021662835,0.000190127,0.00067284016,0.000024441975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082668586,0.00010367892,0.00017969447,0.000034021057,0.00020792204,0.000042312964,0.00022212876,0.0001452821,0.0000052951905],"category_scores_gemma":[0.00037101872,0.00007173668,0.00008382719,0.00020105371,0.000025299387,0.000271031,0.000018448973,0.0001682549,7.8111776e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006527226,0.000043364173,0.0017367846,0.000027325392,0.000052180203,1.3592277e-8,0.00013446162,0.0102967145,0.9865059,0.00033080264,0.0006963557,0.000110794805],"study_design_scores_gemma":[0.0007926009,0.00003972633,0.0017248263,0.000052395822,0.00009161357,0.000003192356,0.000009113129,0.040556416,0.95437574,0.00080474897,0.0014759427,0.00007370795],"about_ca_topic_score_codex":6.48979e-7,"about_ca_topic_score_gemma":8.9670925e-7,"teacher_disagreement_score":0.090820245,"about_ca_system_score_codex":0.00047483438,"about_ca_system_score_gemma":0.00019209774,"threshold_uncertainty_score":0.2925337},"labels":[],"label_agreement":null},{"id":"W2160379034","doi":"10.1074/mcp.r113.032862","title":"The Coming of Age of Phosphoproteomics—from Large Data Sets to Inference of Protein Functions","year":2013,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Inference; Computational biology; Computer science; Biology; Cell biology; Artificial intelligence; Protein phosphorylation","score_opus":0.04469948088129011,"score_gpt":0.3280556884752417,"score_spread":0.2833562075939516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160379034","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064444602,0.63652736,0.34492454,0.000029933473,0.000043473898,0.0066034743,0.004994269,0.00007693502,0.00035555384],"genre_scores_gemma":[0.002215646,0.65149516,0.3347797,0.000015441885,0.000076335,0.005233717,0.0053225947,0.000314303,0.00054709037],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959742,0.000118149655,0.0019471424,0.0009538274,0.00047737037,0.00052930875],"domain_scores_gemma":[0.99244714,0.00019724139,0.002135521,0.004741855,0.00031538346,0.00016287861],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005669237,0.0006845365,0.0018790251,0.00012960251,0.00018512279,0.000055088454,0.0031315703,0.0006201239,0.00010797069],"category_scores_gemma":[0.00039099023,0.00057378376,0.00052133674,0.00052347867,0.00027471388,0.000103874736,0.0020108295,0.00089237426,0.0000226038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027071786,0.00025780438,0.0000042852444,0.008503611,0.00039726583,0.000010043221,0.000059528084,0.000020141482,0.85435486,0.0028371282,0.00006938421,0.1334589],"study_design_scores_gemma":[0.0001819968,0.000037099562,1.0144739e-7,0.0044626086,0.0003489414,0.0000021853384,0.00002863218,0.00015375827,0.7040675,0.0020373089,0.28824595,0.0004338726],"about_ca_topic_score_codex":0.00035242285,"about_ca_topic_score_gemma":0.000015177177,"teacher_disagreement_score":0.28817657,"about_ca_system_score_codex":0.0001208268,"about_ca_system_score_gemma":0.0004487695,"threshold_uncertainty_score":0.99967134},"labels":[],"label_agreement":null},{"id":"W2160547833","doi":"10.1373/clinchem.2013.211714","title":"Peptidomics of Urine and Other Biofluids for Cancer Diagnostics","year":2013,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Toronto General Hospital; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Urine; Cancer; Medicine; Internal medicine","score_opus":0.11523984867408262,"score_gpt":0.4584114372168175,"score_spread":0.3431715885427349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160547833","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030665015,0.99604183,0.0004275874,0.000028815628,0.000029734352,0.0005215439,0.001443103,0.00006729604,0.001133464],"genre_scores_gemma":[0.0000056491353,0.9830372,0.011750896,0.00003424029,0.00067083247,0.0019646746,0.00014946524,0.00009468937,0.0022923835],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801874,0.0000069126577,0.001171222,0.0005099581,0.0000765875,0.00021655785],"domain_scores_gemma":[0.9972629,0.0011507996,0.00070209306,0.000636193,0.0001005053,0.00014749155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014095414,0.00034496875,0.0013987914,0.0000105823665,0.000040313873,0.000015512476,0.00038002583,0.0008762027,0.00041522295],"category_scores_gemma":[0.00044906038,0.0002976556,0.00049445324,0.000060576836,0.0002965578,0.000017326842,0.00018063764,0.0005095262,0.0000044887797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000886926,0.00019216802,0.00028025865,0.054534063,0.00019010941,5.488721e-7,0.0000026459422,1.097004e-7,0.0002965813,0.00026652863,0.0047962037,0.9394319],"study_design_scores_gemma":[0.00021513278,0.000009160706,8.7467e-8,0.0037252975,0.0004213575,0.000004392958,0.0000027554574,0.000009391899,0.0072542443,0.0006976325,0.98735285,0.00030769693],"about_ca_topic_score_codex":0.0000058669825,"about_ca_topic_score_gemma":3.0043674e-7,"teacher_disagreement_score":0.98255664,"about_ca_system_score_codex":0.000043427346,"about_ca_system_score_gemma":0.00014695471,"threshold_uncertainty_score":0.99994755},"labels":[],"label_agreement":null},{"id":"W2160853918","doi":"10.1186/1471-2105-10-s1-s49","title":"Quality assessment of tandem mass spectra using support vector machine (SVM)","year":2009,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Université Laval; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Tandem; Computer science; Data mining; Quality (philosophy); Pattern recognition (psychology); Quality assurance; DNA microarray; Artificial intelligence; Machine learning; Computational biology; Biology; Materials science; Engineering; Physics; Genetics; Gene expression; External quality assessment; Operations management","score_opus":0.04707407499927428,"score_gpt":0.3609859428142803,"score_spread":0.313911867815006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160853918","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018969841,0.000013485511,0.93843144,0.000051137675,0.000014907235,0.00017495875,0.00011517668,0.00013069033,0.04209838],"genre_scores_gemma":[0.22112902,0.000020854688,0.77855855,0.000061010058,0.00003240561,0.0000076010865,0.00006544572,0.000008709201,0.000116383635],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988154,0.0000061102382,0.0006572578,0.00010314277,0.000217578,0.00020050105],"domain_scores_gemma":[0.9989675,0.000035573048,0.0004153563,0.00045303264,0.000060017523,0.00006850134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020304655,0.00014559802,0.00024198441,0.000035291218,0.000073313066,0.00002185693,0.00021066792,0.000103984,0.00024472972],"category_scores_gemma":[0.000021500031,0.00013741624,0.00009705607,0.00011772081,0.000039801966,0.0001414804,0.000032269334,0.00017511379,0.0000042562706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006596859,0.00082190905,0.05340512,0.0019834796,0.00010440668,0.0000037575949,0.0006784398,0.0040690396,0.7351836,0.18314514,0.0007314056,0.019807735],"study_design_scores_gemma":[0.0010194089,0.00012867976,0.0057252743,0.00010409073,0.00006197871,0.00002570217,0.00028916076,0.6037364,0.36010024,0.025084162,0.0030035316,0.0007213429],"about_ca_topic_score_codex":0.000008051784,"about_ca_topic_score_gemma":0.000002319994,"teacher_disagreement_score":0.5996674,"about_ca_system_score_codex":0.00011750639,"about_ca_system_score_gemma":0.00011530783,"threshold_uncertainty_score":0.56036717},"labels":[],"label_agreement":null},{"id":"W2161098464","doi":"10.1074/mcp.m111.008599","title":"Integrated Proteomic Profiling of Cell Line Conditioned Media and Pancreatic Juice for the Identification of Pancreatic Cancer Biomarkers","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University Health Network; University of Toronto","funders":"","keywords":"Pancreatic cancer; Pancreatic juice; Proteome; Cell culture; Chemistry; Cancer; Biology; Cancer research; Molecular biology; Computational biology; Pancreas; Biochemistry; Genetics","score_opus":0.01786516396331976,"score_gpt":0.25101292261484065,"score_spread":0.23314775865152088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161098464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6397752,0.0007385534,0.3572738,0.000035846533,0.000015736427,0.0018264084,0.00022604916,0.000040972423,0.00006742303],"genre_scores_gemma":[0.80258137,0.00030554886,0.19382372,0.000012775843,0.000019572231,0.002980286,0.00017911819,0.00005307713,0.000044509357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998402,0.000036019606,0.0007865726,0.00037716486,0.00016645681,0.00023176675],"domain_scores_gemma":[0.99823797,0.000095606476,0.0007070239,0.00059688644,0.0003001408,0.00006238432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036763653,0.0002435382,0.00034715107,0.00007480923,0.000122004814,0.000017414724,0.00033825016,0.00017125519,0.00004024823],"category_scores_gemma":[0.00013653448,0.00020440485,0.00012794083,0.00021967418,0.00027271654,0.000071466326,0.00006918423,0.00018265827,9.2185326e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014495844,0.00009491121,0.00029813906,0.0006201414,0.00012713716,9.274179e-7,0.00026644304,0.000054974695,0.99665457,0.0013861259,0.0000029257421,0.00034874637],"study_design_scores_gemma":[0.00057145517,0.000040923565,0.000038904353,0.00012124732,0.00036540558,0.0000022577608,0.0001846778,0.010207457,0.982276,0.005973122,0.000013385733,0.00020512808],"about_ca_topic_score_codex":0.00021231586,"about_ca_topic_score_gemma":0.0000049943574,"teacher_disagreement_score":0.16345006,"about_ca_system_score_codex":0.000055693185,"about_ca_system_score_gemma":0.00011091165,"threshold_uncertainty_score":0.8335388},"labels":[],"label_agreement":null},{"id":"W2161120506","doi":"10.1111/j.1365-294x.2012.05632.x","title":"Ecological proteomics: Finding molecular markers that matter","year":2012,"lang":"en","type":"letter","venue":"Molecular Ecology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Proteomics; Ecology; Molecular ecology; Evolutionary biology; Computational biology; Population; Genetics; Gene","score_opus":0.013239117216379857,"score_gpt":0.25786246544654784,"score_spread":0.244623348230168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161120506","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13814141,0.0006669228,0.090322465,0.67071223,0.0006493975,0.003873329,0.00044246725,0.0012686031,0.093923196],"genre_scores_gemma":[0.06300562,0.00006675063,0.117472894,0.8014225,0.001375538,0.006468488,0.0020140351,0.00051601656,0.0076581924],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99685705,0.00010440979,0.0005102001,0.0010065205,0.00026815172,0.0012536617],"domain_scores_gemma":[0.9980133,0.00012210762,0.0004787738,0.0011850534,0.00006379234,0.000136935],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.00017421969,0.0006908669,0.0007251541,0.00015830112,0.00017026604,0.00006399641,0.0009392635,0.002959533,0.0088551],"category_scores_gemma":[0.000043170246,0.0007236622,0.00041666947,0.000114885035,0.00023758142,0.000071122115,0.0005050503,0.0029995018,0.0009052674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035139397,0.00018296122,0.0055896197,0.0005227801,0.00035883897,0.0022013537,0.00002415598,0.00003127413,0.22124532,0.00077491516,0.76864105,0.00039261035],"study_design_scores_gemma":[0.00037092718,0.000047265035,0.00021261425,0.000050971692,0.00019231887,0.00024505795,0.000008564413,0.000028008111,0.22348839,0.008115916,0.76609063,0.0011493376],"about_ca_topic_score_codex":0.000009535385,"about_ca_topic_score_gemma":0.0000017665187,"teacher_disagreement_score":0.13071026,"about_ca_system_score_codex":0.00041089565,"about_ca_system_score_gemma":0.00008270066,"threshold_uncertainty_score":0.9998726},"labels":[],"label_agreement":null},{"id":"W2162220799","doi":"10.1002/rcm.2615","title":"<i>In vacuo</i> isotope coded alkylation technique (IVICAT); an N‐terminal stable isotopic label for quantitative liquid chromatography/mass spectrometry proteomics","year":2006,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; University of Ottawa","keywords":"Chemistry; Mass spectrometry; Chromatography; Isobaric labeling; Proteome; Tandem mass spectrometry; Selected reaction monitoring; Dissociation (chemistry); Analytical Chemistry (journal); Protein mass spectrometry; Organic chemistry; Biochemistry","score_opus":0.02356553107889914,"score_gpt":0.31823878287944496,"score_spread":0.2946732518005458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162220799","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16296321,0.0015791267,0.81543285,0.0014830123,0.00003918604,0.004192889,0.00047259443,0.0005772298,0.013259901],"genre_scores_gemma":[0.3637515,0.0008014843,0.6290141,0.000051762974,0.00006755454,0.005536444,0.000504755,0.00008301603,0.00018941812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967431,0.00015178992,0.0011797631,0.0008344624,0.00029713893,0.00079375703],"domain_scores_gemma":[0.99552673,0.00050355325,0.0005826179,0.003083236,0.0001917951,0.00011205204],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078456185,0.0005017159,0.00064951595,0.0013579678,0.00045835396,0.00012218885,0.0020173988,0.00041991944,0.00021994702],"category_scores_gemma":[0.00010162422,0.0005983851,0.00018835778,0.002909094,0.00030715668,0.00069747545,0.00023977923,0.0010074334,0.00000974969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001541226,0.00095819106,0.0020704735,0.0001391506,0.000025154062,0.0000027168599,0.00006401744,0.00006398655,0.86746997,0.12887205,0.000078990386,0.000101174104],"study_design_scores_gemma":[0.0017864937,0.0005079149,0.0005218869,0.00020845555,0.000043806966,0.000026036741,0.00031061124,0.008508169,0.8350149,0.14800753,0.0041279327,0.00093628874],"about_ca_topic_score_codex":0.0003135866,"about_ca_topic_score_gemma":0.00038166848,"teacher_disagreement_score":0.20078829,"about_ca_system_score_codex":0.0006962812,"about_ca_system_score_gemma":0.00014360777,"threshold_uncertainty_score":0.9996468},"labels":[],"label_agreement":null},{"id":"W2162311651","doi":"10.1074/mcp.m300021-mcp200","title":"Mass Spectrometric Analysis of Protein Mixtures at Low Levels Using Cleavable 13C-Isotope-coded Affinity Tag and Multidimensional Chromatography","year":2003,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":295,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; U.S. Public Health Service; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Chromatography; Chemistry; Isotope; Isotope analysis; Mass spectrometry; Stable isotope ratio; Biology","score_opus":0.011907829987741663,"score_gpt":0.2399977323381399,"score_spread":0.22808990235039822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162311651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76415926,0.0005563556,0.23394524,0.000014010508,0.00000774068,0.0008132213,0.0001031115,0.00007593812,0.00032513964],"genre_scores_gemma":[0.6136133,0.00002233384,0.38599133,0.000018401244,0.000008321047,0.00014996459,0.000054425753,0.000048123762,0.000093785886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977585,0.0000808684,0.0005895851,0.00071691046,0.00038456044,0.00046958914],"domain_scores_gemma":[0.9983307,0.000038306018,0.00046414297,0.00083946553,0.00015692874,0.00017044297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031412754,0.00039311225,0.0006229401,0.00056758954,0.0002518481,0.000039786097,0.0002583013,0.00029820646,0.00023257967],"category_scores_gemma":[0.000104463164,0.000422724,0.00037581494,0.0018557067,0.00018745205,0.00008544974,0.00015601174,0.00033615675,0.000002895171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003211297,0.00014973826,0.0011039111,0.00013534892,0.00039834855,0.00002001954,0.00002967974,0.0015565035,0.9935492,0.002988849,0.0000025116922,0.00003371967],"study_design_scores_gemma":[0.0005256235,0.00003041204,0.000051345716,0.000048267375,0.00039836587,0.0000105093595,0.000017726883,0.007172597,0.98810613,0.003046518,0.0001518547,0.0004406539],"about_ca_topic_score_codex":0.000051257673,"about_ca_topic_score_gemma":0.0000031212485,"teacher_disagreement_score":0.1520461,"about_ca_system_score_codex":0.00015227798,"about_ca_system_score_gemma":0.0000767713,"threshold_uncertainty_score":0.99982244},"labels":[],"label_agreement":null},{"id":"W2162640412","doi":"10.1038/msb.2013.47","title":"Protein synthesis rate is the predominant regulator of protein expression during differentiation","year":2013,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":237,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Biology; Proteome; Protein biosynthesis; Proteomics; Protein degradation; Gene expression; Protein expression; Cell biology; Systems biology; Regulator; Regulation of gene expression; Translation (biology); Transcription (linguistics); Transcription factor; Messenger RNA; Gene; Computational biology; Biochemistry","score_opus":0.005759248320309556,"score_gpt":0.22092173393280978,"score_spread":0.21516248561250023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162640412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969149,0.00023400498,0.02862108,0.00022583667,0.000013033082,0.0014456317,0.000025312134,0.000067538036,0.00021854765],"genre_scores_gemma":[0.9910993,0.000005727298,0.0018417917,0.00000657436,0.00003264822,0.0063872207,0.0000104171095,0.000024035882,0.00059228187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898887,0.00009722613,0.00036087152,0.00028575884,0.00007264174,0.00019464384],"domain_scores_gemma":[0.9988892,0.000025169657,0.00034303317,0.0006193982,0.00008789121,0.000035286506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036259,0.0001493871,0.00022217273,0.000031214557,0.0001046623,0.00001992978,0.0002649434,0.00017940495,0.00013174948],"category_scores_gemma":[0.000057635825,0.000098678334,0.00007899916,0.000068331894,0.000076015,0.000036859674,0.00010239292,0.000109337445,0.000015017305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011517132,0.00002462339,0.00009532083,0.00019190968,0.000017837438,4.1364382e-7,0.000032573345,0.000005751717,0.9970186,0.0023066448,0.00001298561,0.00028183346],"study_design_scores_gemma":[0.00011714232,0.000011747414,0.0000905299,0.00026110676,0.000009166849,0.0000033266256,0.000036261332,0.00049925374,0.99699724,0.0015576314,0.0003015989,0.00011501312],"about_ca_topic_score_codex":0.00011754292,"about_ca_topic_score_gemma":4.352779e-7,"teacher_disagreement_score":0.026779287,"about_ca_system_score_codex":0.00003530079,"about_ca_system_score_gemma":0.0000135728815,"threshold_uncertainty_score":0.4023986},"labels":[],"label_agreement":null},{"id":"W2164488920","doi":"10.1109/iembs.2008.4650030","title":"A Bayesian approach to peptide identification using Accurate Mass and Time tags from LC-FTICR-MS proteomics experiments","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University","funders":"","keywords":"Retention time; Bayesian probability; Mass spectrometry; Computer science; Correctness; Chromatography; Identification (biology); Proteomics; Chemistry; Algorithm; Artificial intelligence","score_opus":0.032680589353979626,"score_gpt":0.28907117569959245,"score_spread":0.25639058634561285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164488920","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42568678,0.000016635797,0.5662222,0.000047155077,0.000005112645,0.0004271362,0.000037774615,0.00015226037,0.007404959],"genre_scores_gemma":[0.45097408,0.000014758151,0.5460504,0.000058252182,0.000055422133,0.0003705908,0.0000754036,0.00003129562,0.0023697603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988111,0.00000960271,0.00032069226,0.00049475714,0.0001390748,0.00022477483],"domain_scores_gemma":[0.9991523,0.000017848713,0.00013492558,0.00050315616,0.00005248955,0.00013925687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005680703,0.00019057904,0.00017939306,0.00004204591,0.00024142586,0.00006297158,0.00021658755,0.00011662789,0.00015763311],"category_scores_gemma":[0.00001804126,0.00019575379,0.00004041289,0.00012259222,0.00006366056,0.00018862683,0.00009971218,0.0001283651,0.00003851532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016023185,0.00006177512,0.00025548012,0.000011065773,0.000013034886,8.648646e-7,0.00024535507,0.00011924296,0.9986798,0.00028445083,0.0001868024,0.00012608206],"study_design_scores_gemma":[0.00020526748,0.0000059728286,0.00006705592,0.000018243558,0.000012829463,0.000013295073,0.00010413951,0.040403977,0.9557509,0.002585403,0.0005576382,0.0002753125],"about_ca_topic_score_codex":0.000152017,"about_ca_topic_score_gemma":6.013586e-7,"teacher_disagreement_score":0.042928956,"about_ca_system_score_codex":0.00009787634,"about_ca_system_score_gemma":0.000028784594,"threshold_uncertainty_score":0.7982608},"labels":[],"label_agreement":null},{"id":"W2164584673","doi":"10.1039/c2mb05440j","title":"Global analysis of protein phosphorylation networks in insulin signaling by sequential enrichment of phosphoproteins and phosphopeptides","year":2012,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research","keywords":"Phosphorylation; Phosphopeptide; Proteome; Chemistry; Protein phosphorylation; Biochemistry; Phosphoprotein; Cell fractionation; Chromatography; Protein kinase A; Enzyme","score_opus":0.00612682625556974,"score_gpt":0.24436801974556047,"score_spread":0.23824119348999073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164584673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475744,0.0067124376,0.044928137,0.00001005594,0.0000090865915,0.000477874,0.00007419171,0.000020687898,0.00019317072],"genre_scores_gemma":[0.9953007,0.000064895525,0.0042947265,0.0000064327255,0.000009996742,0.00022177715,0.000077353274,0.000013612483,0.000010471753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987096,0.000030113955,0.000593031,0.00024277913,0.00017948948,0.0002449947],"domain_scores_gemma":[0.9992771,0.000012844879,0.00033073683,0.00027271328,0.000045335593,0.00006126063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028863968,0.0001572133,0.0003780534,0.00007755422,0.0000200905,0.000009768488,0.00012522224,0.00015873474,0.00003456392],"category_scores_gemma":[0.000013842484,0.00016808395,0.00009269876,0.00092277565,0.000047204358,0.00006494129,0.000062794694,0.00009747851,2.2593841e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036976762,0.0001984567,0.07549862,0.00010106865,0.0001266919,0.0000012839885,0.00007865254,0.003642023,0.918071,0.0011759418,0.0000020830598,0.0010672319],"study_design_scores_gemma":[0.00034010483,0.000017117916,0.0009448508,0.00014522207,0.00009502429,8.061248e-7,0.00007876841,0.006991222,0.991019,0.00013023426,0.00007325348,0.00016440575],"about_ca_topic_score_codex":0.001410671,"about_ca_topic_score_gemma":0.000054372405,"teacher_disagreement_score":0.07455377,"about_ca_system_score_codex":0.00012787142,"about_ca_system_score_gemma":0.000018601164,"threshold_uncertainty_score":0.6854264},"labels":[],"label_agreement":null},{"id":"W2164931020","doi":"10.1517/17530059.2.5.475","title":"Secretory vesicle analysis for discovery of low abundance plasma biomarkers","year":2008,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Biomarker discovery; Secretory protein; Biomarker; Secretion; Biology; Secretory pathway; Proteomics; Computational biology; Signal peptide; Cell biology; Prostate cancer; Bioinformatics; Cancer; Biochemistry; Peptide sequence; Gene; Golgi apparatus; Endoplasmic reticulum; Genetics","score_opus":0.022556250793268548,"score_gpt":0.31321342915997874,"score_spread":0.2906571783667102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164931020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25068805,0.0018632298,0.742538,0.0017398341,0.00030921132,0.0004778356,0.00049267453,0.00023786558,0.0016533234],"genre_scores_gemma":[0.94291997,0.023962637,0.030649662,0.000651791,0.00048508614,0.00065874174,0.00043747338,0.000048321515,0.00018634004],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986511,0.00001193526,0.0003840452,0.00031689438,0.00041483968,0.00022117181],"domain_scores_gemma":[0.9979903,0.001194983,0.00016032018,0.00041672142,0.00006791512,0.00016973236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097101445,0.00015627893,0.00028995692,0.000074054355,0.00012766455,0.000008015706,0.0003073763,0.00019783665,0.00022143549],"category_scores_gemma":[0.0012024327,0.00014642379,0.00020556618,0.00026577868,0.000273264,0.00006866816,0.00005483173,0.000154632,0.000005103643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029321199,0.012787591,0.09117836,0.0019074776,0.006113968,0.00017895913,0.004965598,0.0038346963,0.19621313,0.15164489,0.396404,0.13183922],"study_design_scores_gemma":[0.0020545698,0.0002534479,0.0020408717,0.0006048518,0.000045091423,0.000012752771,0.00023085494,0.027622137,0.81843096,0.0015761269,0.1463527,0.0007756566],"about_ca_topic_score_codex":0.000021289503,"about_ca_topic_score_gemma":0.0000023097994,"teacher_disagreement_score":0.7118883,"about_ca_system_score_codex":0.00005660803,"about_ca_system_score_gemma":0.00009778749,"threshold_uncertainty_score":0.5970989},"labels":[],"label_agreement":null},{"id":"W2165291553","doi":"10.1002/9780470571224.pse256","title":"Protein Biomarker Discovery Using Mass Spectrometry–Based Proteomics","year":2010,"lang":"en","type":"other","venue":"Pharmaceutical Sciences Encyclopedia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Biomarker discovery; Mass spectrometry; Biomarker; Computational biology; Chemistry; Chromatography; Biology; Biochemistry","score_opus":0.043036611367364495,"score_gpt":0.3596903409314128,"score_spread":0.3166537295640483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165291553","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015605834,0.0003004896,0.22302009,0.00020450649,0.00016142913,0.0010777734,0.00025499327,0.0005944532,0.77282566],"genre_scores_gemma":[0.0018325623,0.00029482934,0.83023936,0.00014612598,0.0008592611,0.0006107678,0.000047547976,0.0004139797,0.1655556],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971766,0.00002789531,0.0004023247,0.0010154165,0.0005910237,0.00078675634],"domain_scores_gemma":[0.9986838,0.00006513308,0.00034924832,0.00057961856,0.000030310115,0.00029187673],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003059336,0.0005196145,0.00040185978,0.00025411596,0.00025330487,0.00019256836,0.0010594804,0.0005640621,0.009420134],"category_scores_gemma":[0.00009131206,0.00045224448,0.00017252524,0.00068150356,0.0009599074,0.00018375361,0.00018626705,0.0010480789,0.00006342794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016410891,0.00012421177,0.0001882809,0.00020988248,0.000019439967,0.000009785307,0.0000028142426,0.000007988996,0.9916572,0.0026775603,0.0032368004,0.0018496277],"study_design_scores_gemma":[0.00034401772,0.000015556216,0.000002143666,0.00025335167,0.000072721654,0.000006346113,0.00000678254,0.006943845,0.28587866,0.003234903,0.70235145,0.0008902231],"about_ca_topic_score_codex":0.00008984668,"about_ca_topic_score_gemma":0.000012649976,"teacher_disagreement_score":0.70577854,"about_ca_system_score_codex":0.00013317757,"about_ca_system_score_gemma":0.00032095192,"threshold_uncertainty_score":0.99979293},"labels":[],"label_agreement":null},{"id":"W2165316988","doi":"10.1158/1078-0432.ccr-07-0946","title":"Is There a Human Homologue to the Murine Proteolysis-Inducing Factor?","year":2007,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteolysis; Antibody; Monoclonal antibody; Biology; Cancer; Molecular biology; Skeletal muscle; Cancer research; Immunology; Biochemistry; Endocrinology","score_opus":0.2962211129013626,"score_gpt":0.572158495960484,"score_spread":0.27593738305912136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165316988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791067,0.0002492089,0.004217134,0.007142701,0.000029688008,0.0007879208,0.00006164209,0.000121207144,0.008283747],"genre_scores_gemma":[0.9895358,0.0001514851,0.0026450672,0.0004732159,0.0008677563,0.0010604161,0.0000066789744,0.00003789944,0.0052216575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99779546,0.000065153064,0.0005205606,0.0005513966,0.00046236865,0.00060508447],"domain_scores_gemma":[0.9978249,0.00054546195,0.00008764688,0.0010241276,0.00027739067,0.00024046194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022774641,0.00013244101,0.00021222982,0.00005856612,0.0005433344,0.000052439147,0.0008749606,0.00020497612,0.0020946362],"category_scores_gemma":[0.0003057567,0.00009251436,0.00013899196,0.00044940892,0.0002607587,0.000040049086,0.00043458483,0.0015488965,0.00012762038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006573709,0.0011503539,0.122496575,0.0003558576,0.00028990422,0.000112406946,0.001907774,0.000042788477,0.42091098,0.009249074,0.040507022,0.40231988],"study_design_scores_gemma":[0.0004935637,0.00016983609,0.013832759,0.00013159226,0.000012281304,0.0000035077976,0.00030478262,0.000032050615,0.5895759,0.008983169,0.3861249,0.00033563608],"about_ca_topic_score_codex":0.00075128645,"about_ca_topic_score_gemma":0.0005698975,"teacher_disagreement_score":0.40198424,"about_ca_system_score_codex":0.00017287717,"about_ca_system_score_gemma":0.00011221869,"threshold_uncertainty_score":0.99881756},"labels":[],"label_agreement":null},{"id":"W2165372342","doi":"10.1517/17530059.1.3.325","title":"Lost in translation: five grand challenges for proteomic biomarker discovery","year":2007,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Biomarker discovery; Profiling (computer programming); Disease; Medicine; Data science; Computational biology; Translational research; Bioinformatics; Computer science; Proteomics; Biology; Pathology","score_opus":0.0468280847069817,"score_gpt":0.35669250736296915,"score_spread":0.30986442265598746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165372342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03384151,0.020670056,0.8920302,0.033171877,0.0008043293,0.0032037974,0.00029948237,0.0003913504,0.0155874],"genre_scores_gemma":[0.62818515,0.2563071,0.10164699,0.0037564589,0.0035596788,0.004643815,0.0009809835,0.00025922293,0.0006605881],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985773,0.000011730534,0.00040330327,0.00036108127,0.0003321256,0.00031443525],"domain_scores_gemma":[0.99802685,0.0014124865,0.00008070482,0.00027360686,0.00003766434,0.00016868842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032762295,0.00018286232,0.00020454449,0.00007028539,0.00007204243,0.000017706494,0.00022619021,0.00030628144,0.00015575007],"category_scores_gemma":[0.0007781266,0.0001668709,0.000081656995,0.00007794856,0.00011561084,0.00008692515,0.000029689567,0.00025586574,0.000011718633],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001336093,0.002554032,0.0012320944,0.0004966109,0.000072751805,0.00006143601,0.0026472828,0.000036629175,0.013839041,0.06995997,0.015303818,0.8924602],"study_design_scores_gemma":[0.0054365564,0.00030811457,0.0019403176,0.0018434614,0.000006291802,0.00001972232,0.0005851524,0.0028529505,0.16768412,0.017033232,0.8012482,0.0010418758],"about_ca_topic_score_codex":0.000013015759,"about_ca_topic_score_gemma":0.00002777189,"teacher_disagreement_score":0.89141834,"about_ca_system_score_codex":0.00007832858,"about_ca_system_score_gemma":0.00005757205,"threshold_uncertainty_score":0.68047976},"labels":[],"label_agreement":null},{"id":"W2165384556","doi":"10.1074/mcp.r400004-mcp200","title":"HUPO Initiatives Relevant to Clinical Proteomics","year":2004,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proteomics; Computational biology; Library science; Data science; Computer science; Biology; Genetics","score_opus":0.04134999662326405,"score_gpt":0.37014891190208105,"score_spread":0.328798915278817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165384556","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029582434,0.6783772,0.3117169,0.00009697471,0.00012862882,0.0060784174,0.00035678604,0.00055664673,0.0023926098],"genre_scores_gemma":[0.000021306021,0.62294215,0.37033585,0.000111840935,0.00035350447,0.00489194,0.00057616725,0.00040123623,0.00036600206],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935121,0.00020431902,0.0025871939,0.0020647135,0.0005555202,0.001076165],"domain_scores_gemma":[0.9949461,0.00012958384,0.0013838095,0.0026671423,0.00023039819,0.000642945],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0007241178,0.001441484,0.0029389854,0.000284535,0.00029303945,0.00019561891,0.0018586345,0.0017722644,0.000158356],"category_scores_gemma":[0.00041525575,0.0014299199,0.0017721107,0.0006838346,0.00026820734,0.00014674265,0.000940974,0.002684853,0.00053730886],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017520726,0.002183331,0.000011910118,0.07804755,0.0018227911,0.0013974013,0.00028319773,0.00025905896,0.100658506,0.04440195,0.0003322155,0.77042687],"study_design_scores_gemma":[0.00041844443,0.0001115903,7.258645e-8,0.010742953,0.0005746315,0.000064076215,0.000010708945,0.000016669444,0.24259347,0.0059821596,0.73786336,0.0016218775],"about_ca_topic_score_codex":0.0000172294,"about_ca_topic_score_gemma":0.0000015241267,"teacher_disagreement_score":0.768805,"about_ca_system_score_codex":0.00080004806,"about_ca_system_score_gemma":0.0012720964,"threshold_uncertainty_score":0.9998335},"labels":[],"label_agreement":null},{"id":"W2166538692","doi":"10.1186/1477-5956-9-s1-s3","title":"Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation","year":2011,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Tandem; Tandem mass spectrometry; Mass spectrum; Spectral line; Collision-induced dissociation; Mass spectrometry; Chemistry; False positive paradox; Dissociation (chemistry); Collision; Gaussian; Analytical Chemistry (journal); Atomic physics; Computer science; Computational physics; Physics; Artificial intelligence; Materials science; Computational chemistry; Chromatography; Physical chemistry","score_opus":0.02345625172092494,"score_gpt":0.27294457632651703,"score_spread":0.2494883246055921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166538692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8278354,0.000008530458,0.16729045,0.000030474508,0.00002518929,0.00040651468,0.000053178,0.0000975113,0.0042527653],"genre_scores_gemma":[0.8738791,0.000019432653,0.12567618,0.0000074790296,0.000028011684,0.00018842447,0.000014814764,0.000010941353,0.00017566292],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986757,0.000010466004,0.0003050486,0.00037362688,0.0003810984,0.00025402915],"domain_scores_gemma":[0.99899024,0.00002233135,0.00038636042,0.00032922003,0.0001954857,0.000076364704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034102192,0.00011775035,0.00013432947,0.000085464635,0.00022402043,0.000027939841,0.0003895837,0.000073676725,0.00014460177],"category_scores_gemma":[0.00012678257,0.000117241456,0.000039377042,0.00045961217,0.00016686242,0.00046266674,0.00007150472,0.0001443636,0.000016764969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011950522,0.00004758309,0.0011049261,0.0000125231545,0.0000012849584,3.7966996e-7,0.00036260454,0.0000023173263,0.9958124,0.0006793739,0.0000018131582,0.0019628205],"study_design_scores_gemma":[0.00014419545,0.000027360973,0.0028398123,0.00005693165,0.0000049825217,4.406435e-7,0.000026543654,0.003494379,0.9606231,0.03263003,0.000019275336,0.00013294184],"about_ca_topic_score_codex":0.00012969895,"about_ca_topic_score_gemma":0.000007211836,"teacher_disagreement_score":0.046043668,"about_ca_system_score_codex":0.00022684409,"about_ca_system_score_gemma":0.00008981616,"threshold_uncertainty_score":0.47809678},"labels":[],"label_agreement":null},{"id":"W2167244585","doi":"10.1158/1078-0432.ccr-1167-3","title":"Serum Diagnosis of Pancreatic Adenocarcinoma Using Surface-Enhanced Laser Desorption and Ionization Mass Spectrometry","year":2004,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":284,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Pancreatic cancer; CA19-9; Medicine; Pancreatic disease; Internal medicine; Adenocarcinoma; Gastroenterology; Pancreas; Cancer; Pathology","score_opus":0.1290911887960914,"score_gpt":0.4591416555298894,"score_spread":0.330050466733798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167244585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97239447,0.0010461592,0.025511699,0.0003508625,0.000019499004,0.0002791468,0.00004942835,0.000049457216,0.00029927396],"genre_scores_gemma":[0.95784605,0.004743742,0.036955167,0.000019947884,0.00013981218,0.0001440879,0.000011255322,0.00002958029,0.00011034382],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984155,0.000063789135,0.00047530103,0.00040976238,0.0003245021,0.00031110627],"domain_scores_gemma":[0.99870074,0.00037124872,0.00014635586,0.00037114357,0.00027932654,0.00013119163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006361024,0.00011337669,0.00026224673,0.00006856329,0.00015558212,0.000028940582,0.0001902124,0.00018989398,0.0003477745],"category_scores_gemma":[0.0002823396,0.00011329058,0.000065611115,0.0005535941,0.0003175677,0.00010760286,0.00011178805,0.00050458557,0.000005897736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020497291,0.00029624914,0.5287197,0.00040352307,0.00006544939,0.0000044236385,0.00009030712,0.002854609,0.46001357,0.0017913831,0.000042082,0.005513716],"study_design_scores_gemma":[0.00087911397,0.0001046944,0.010587996,0.00028483663,0.00003292392,0.0000017910585,0.00010840759,0.0008202048,0.9658015,0.021142041,0.00006700459,0.00016951127],"about_ca_topic_score_codex":0.00025145468,"about_ca_topic_score_gemma":0.000022362707,"teacher_disagreement_score":0.51813173,"about_ca_system_score_codex":0.0002583324,"about_ca_system_score_gemma":0.00016838145,"threshold_uncertainty_score":0.4619856},"labels":[],"label_agreement":null},{"id":"W2167328524","doi":"10.1373/clinchem.2004.041087","title":"Identification of Serum Amyloid A as a Biomarker to Distinguish Prostate Cancer Patients with Bone Lesions","year":2005,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"Health Canada; Genome British Columbia; University of Victoria","keywords":"Prostate cancer; Bone metastasis; Biomarker discovery; Medicine; Biomarker; Proteomics; Prostate; Metastasis; Pathology; Serum amyloid A; Cancer; Cancer research; Internal medicine; Chemistry; Biochemistry","score_opus":0.019400398984618553,"score_gpt":0.3523290013713301,"score_spread":0.33292860238671157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167328524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958927,0.000047534926,0.0003284949,0.0007224803,0.000012906208,0.00024423216,0.0004189898,0.000115149036,0.002217537],"genre_scores_gemma":[0.99137884,0.000048995822,0.003840587,0.00011376911,0.0001332596,0.00034039066,0.00007478026,0.000033797874,0.004035549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836284,0.0000062891136,0.0007735909,0.0004495117,0.00019206817,0.00021571432],"domain_scores_gemma":[0.9985089,0.00008214779,0.00041120982,0.0005429108,0.00026450015,0.000190384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014076706,0.00016159512,0.00024306147,0.000012357886,0.00008252061,0.000019057496,0.00024267694,0.00015301537,0.00045428367],"category_scores_gemma":[0.00027669666,0.0001468383,0.00009037199,0.00017220643,0.00013607409,0.000052654403,0.000110958325,0.00023155582,0.000020868341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045701495,0.0019977475,0.40012118,0.000489217,0.00010421255,0.0000029406992,0.00012433642,0.000044740744,0.48303542,0.00007604104,0.0033137936,0.110233374],"study_design_scores_gemma":[0.0008517345,0.000028732478,0.011812948,0.00020447759,0.00005195902,0.000001746105,0.000030965777,0.00017342057,0.9661779,0.00035330773,0.0199833,0.00032953327],"about_ca_topic_score_codex":0.000008625079,"about_ca_topic_score_gemma":0.0000042461497,"teacher_disagreement_score":0.48314247,"about_ca_system_score_codex":0.0000668965,"about_ca_system_score_gemma":0.00007738415,"threshold_uncertainty_score":0.5987892},"labels":[],"label_agreement":null},{"id":"W2167443016","doi":"10.1074/mcp.m400061-mcp200","title":"Informatics Platform for Global Proteomic Profiling and Biomarker Discovery Using Liquid Chromatography-Tandem Mass Spectrometry","year":2004,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Biomarker discovery; Profiling (computer programming); Shotgun proteomics; Proteomics; Computer science; Computational biology; Shotgun; Label-free quantification; Biomarker; Chemistry; Quantitative proteomics; Pattern recognition (psychology); Data mining; Bioinformatics; Artificial intelligence; Biology; Biochemistry","score_opus":0.012766424030527431,"score_gpt":0.25866728446384796,"score_spread":0.24590086043332052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167443016","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50472206,0.00021449894,0.49320158,0.000028599834,0.00001758418,0.0013431796,0.000081866856,0.00013680547,0.00025383037],"genre_scores_gemma":[0.44324383,0.000047038364,0.5559038,0.000047592184,0.00004551408,0.00052794546,0.00011210875,0.0000621291,0.000010074142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978165,0.000009095698,0.0007202316,0.00050048315,0.00028424663,0.0006694398],"domain_scores_gemma":[0.99863154,0.000015116889,0.00043022478,0.00064476836,0.00009902777,0.00017931052],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023917198,0.00047780076,0.00042224023,0.000120752185,0.00033738546,0.000228146,0.00037854668,0.00036814023,0.000005375421],"category_scores_gemma":[0.00004377905,0.00050483824,0.00026616675,0.00040954264,0.00018760827,0.00046095176,0.0001912552,0.0003123383,0.0000020938594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116716445,0.00006774168,0.00029547221,0.00037156753,0.00009791945,0.000010639207,0.00003630231,0.00055589894,0.9823931,0.01593062,9.0412374e-7,0.00012314411],"study_design_scores_gemma":[0.0012541717,0.000101969315,0.0000053848644,0.00014709451,0.000095197734,0.0000519356,0.00008861009,0.0041566486,0.95067745,0.04274784,0.00009451684,0.0005791479],"about_ca_topic_score_codex":0.00001800578,"about_ca_topic_score_gemma":0.0000011308389,"teacher_disagreement_score":0.06270219,"about_ca_system_score_codex":0.00044788088,"about_ca_system_score_gemma":0.00020119202,"threshold_uncertainty_score":0.9997403},"labels":[],"label_agreement":null},{"id":"W2167844024","doi":"10.1038/nmeth.2557","title":"The CRAPome: a contaminant repository for affinity purification–mass spectrometry data","year":2013,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1804,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Université de Montréal; Montreal Clinical Research Institute; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Drug Abuse; National Cancer Institute; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Computational biology; Mass spectrometry; Tandem affinity purification; Chemistry; Protein purification; Proteome; Chromatography; Affinity chromatography; Biology; Biochemistry; Enzyme","score_opus":0.028347478881402946,"score_gpt":0.39094476486220503,"score_spread":0.3625972859808021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167844024","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001758529,0.002303375,0.982827,0.0018662392,0.00015373477,0.00069892936,0.000096136544,0.00021117365,0.0100848805],"genre_scores_gemma":[0.018497158,0.00015724191,0.97552603,0.000112505775,0.00030612672,0.0011155641,0.00010680635,0.000029647532,0.004148908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883395,0.00006111724,0.00028348842,0.00044362605,0.000124867,0.0002529638],"domain_scores_gemma":[0.99641603,0.0011268297,0.00021421995,0.001995196,0.00018031425,0.00006739314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081722793,0.00014758315,0.00016558495,0.000027054239,0.000483719,0.00011074586,0.001137454,0.00033999977,0.00005220613],"category_scores_gemma":[0.0007740139,0.00010385995,0.00007167215,0.00017939112,0.00009263693,0.00014222114,0.00014819448,0.0007303248,0.000005340549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013770973,0.000035838922,0.000060111026,0.000033381224,0.00003060023,2.8748946e-7,0.000013521464,4.8844225e-7,0.9317422,0.01926312,0.008094177,0.0407125],"study_design_scores_gemma":[0.00012238076,0.0000095302885,0.00014689578,0.000008739044,0.000022447366,0.0000069478965,0.000052856893,0.0009229359,0.67895854,0.041608624,0.27800584,0.00013426803],"about_ca_topic_score_codex":0.000012586472,"about_ca_topic_score_gemma":0.0000014681784,"teacher_disagreement_score":0.26991165,"about_ca_system_score_codex":0.00006477764,"about_ca_system_score_gemma":0.000047662987,"threshold_uncertainty_score":0.42352858},"labels":[],"label_agreement":null},{"id":"W2168137110","doi":"10.1002/pmic.201400353","title":"Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada); Onex (Canada)","funders":"Yale Center for Clinical Investigation, Yale School of Medicine; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; National Institute on Drug Abuse; U.S. Public Health Service","keywords":"Proteome; Postsynaptic density; Chemistry; Normalization (sociology); Chromatography; Proteomics; Computer science; Label-free quantification; Computational biology; Data mining; Quantitative proteomics; Bioinformatics; Biology; Biochemistry; Postsynaptic potential","score_opus":0.011518595810816913,"score_gpt":0.2606538216383402,"score_spread":0.24913522582752332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168137110","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52100015,0.00007229453,0.47440252,0.00048529802,0.000010234816,0.0033481282,0.000064316824,0.00053696544,0.00008011991],"genre_scores_gemma":[0.34933564,0.000010467155,0.64690197,0.000038044018,0.00003313163,0.0034354106,0.000066423454,0.000042049964,0.00013687453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850017,0.00002418455,0.00056460284,0.00046348353,0.00012997696,0.00031756717],"domain_scores_gemma":[0.9989017,0.0001368761,0.00034446537,0.000340775,0.00015267031,0.00012346983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005291526,0.0002684158,0.00037014796,0.00007094635,0.00020219183,0.00003533727,0.00018051232,0.00020467697,0.000010757033],"category_scores_gemma":[0.000419163,0.00025787193,0.000044648867,0.00010061528,0.00012412167,0.00009016759,0.0001407675,0.0001788017,0.000001503257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009627325,0.00007424238,0.000121413555,0.0005551055,0.000027665803,2.036307e-7,0.00019585447,0.0000144406795,0.99276394,0.000964313,0.00008977168,0.0050968044],"study_design_scores_gemma":[0.0011539649,0.00005001019,0.000038104066,0.000104013016,0.000016702264,0.0000066452762,0.000028239243,0.06893518,0.92012846,0.0026577082,0.0065695946,0.0003113909],"about_ca_topic_score_codex":0.0000101330825,"about_ca_topic_score_gemma":0.000010589292,"teacher_disagreement_score":0.17249946,"about_ca_system_score_codex":0.0000605144,"about_ca_system_score_gemma":0.0000852155,"threshold_uncertainty_score":0.99998736},"labels":[],"label_agreement":null},{"id":"W2168299655","doi":"10.1186/1477-5956-9-24","title":"Evaluation of three high abundance protein depletion kits for umbilical cord serum proteomics","year":2011,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Science and Technology Planning Project of Guangdong Province; Ministry of Education of the People's Republic of China","keywords":"Umbilical cord; Proteomics; Blood proteins; Albumin; Chemistry; Andrology; Spots; Chromatography; Biology; Biochemistry; Immunology; Medicine","score_opus":0.07734710023325907,"score_gpt":0.3249898883572474,"score_spread":0.24764278812398832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168299655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73623675,0.000019830462,0.25756097,0.00013044666,0.000027197913,0.004167585,0.00005815834,0.00013109791,0.0016679569],"genre_scores_gemma":[0.7009174,0.0000021744117,0.29215616,0.000009420893,0.000041505555,0.006794728,0.000005294614,0.000019399322,0.000053876774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975529,0.000018484214,0.00043634375,0.0006505806,0.00092611584,0.00041560727],"domain_scores_gemma":[0.9974719,0.000020824667,0.0003993428,0.0007064514,0.0012883039,0.000113166505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023003363,0.00018498093,0.00020859743,0.00009212119,0.00031249668,0.00003156373,0.00076935324,0.00012073797,0.0002287771],"category_scores_gemma":[0.0006098685,0.00018045936,0.00006945244,0.0005353936,0.0006290129,0.00039482655,0.00014634574,0.0001819748,0.000008524446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090109934,0.00012161166,0.00041418875,0.0001043049,0.0000051084,9.404791e-8,0.0000669755,0.000022737202,0.9623161,0.017636081,0.0000034892398,0.01921918],"study_design_scores_gemma":[0.00038450048,0.00012195706,0.001310682,0.00007529115,0.000024345976,0.0000030888489,0.0000121047415,0.006618503,0.80361164,0.18759139,0.000063466585,0.00018301928],"about_ca_topic_score_codex":0.00006645383,"about_ca_topic_score_gemma":0.000020859361,"teacher_disagreement_score":0.16995531,"about_ca_system_score_codex":0.00024324637,"about_ca_system_score_gemma":0.0004451186,"threshold_uncertainty_score":0.73589194},"labels":[],"label_agreement":null},{"id":"W2168447402","doi":"10.1016/s1535-9476(20)31954-x","title":"What Has Proteomics Accomplished?","year":2007,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Proteomics; Computational biology; Computer science; Chemistry; Biology; Biochemistry","score_opus":0.01567782660482321,"score_gpt":0.25929620595906777,"score_spread":0.24361837935424457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168447402","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46358016,0.0003673218,0.53090835,0.00042901962,0.00009277003,0.0009429972,0.000012438656,0.0003812026,0.0032857682],"genre_scores_gemma":[0.49485916,0.00012903006,0.50229347,0.00043050942,0.0002538906,0.00061691424,0.00017904471,0.00019229828,0.0010456993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970526,0.000021944676,0.00073430955,0.00087316456,0.0004261077,0.00089188264],"domain_scores_gemma":[0.9976809,0.00003961113,0.00035302265,0.0014353655,0.00018997349,0.0003011194],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005673424,0.00051107624,0.0004052185,0.00013165946,0.00039490283,0.0005103688,0.00088143535,0.00046407254,0.00025816637],"category_scores_gemma":[0.00006482547,0.00056844077,0.00029053516,0.00034682354,0.00025332865,0.00048544092,0.0003493608,0.00079019775,0.00011048598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057243928,0.0001341681,0.00009963821,0.000080021295,0.000036212066,0.000089972105,0.00010110879,0.00009710895,0.9900433,0.0064401957,0.000084894564,0.0027361289],"study_design_scores_gemma":[0.0004916422,0.000029004796,0.000007131878,0.00009383031,0.000034502842,0.000042472333,0.00015816517,0.00048292175,0.9618218,0.017958004,0.01823918,0.0006413506],"about_ca_topic_score_codex":0.000029233135,"about_ca_topic_score_gemma":0.000007561683,"teacher_disagreement_score":0.031279016,"about_ca_system_score_codex":0.0002592848,"about_ca_system_score_gemma":0.00011876379,"threshold_uncertainty_score":0.9996767},"labels":[],"label_agreement":null},{"id":"W2169098847","doi":"10.1186/1559-0275-11-23","title":"Deciphering the peptidome of urine from ovarian cancer patients and healthy controls","year":2014,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; University Health Network; Mount Sinai Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urine; Biomarker discovery; Biomarker; Proteomics; Proteome; Ovarian cancer; Medicine; Mass spectrometry; Cancer; Bioinformatics; Internal medicine; Chemistry; Chromatography; Biology; Biochemistry","score_opus":0.026090094274307966,"score_gpt":0.3441636455547068,"score_spread":0.3180735512803988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169098847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592474,0.00007195649,0.03832793,0.0010300801,0.000044588513,0.00048002167,0.00009348519,0.00005113236,0.0006533967],"genre_scores_gemma":[0.93918973,0.00028850744,0.059292205,0.0005244891,0.00027986531,0.00032379347,0.00001731011,0.000023852213,0.000060259183],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988031,0.000033539436,0.0006156824,0.00028503803,0.00009645993,0.00016618114],"domain_scores_gemma":[0.9985729,0.000492565,0.00035464618,0.00040165143,0.00007898883,0.00009926292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029607213,0.00012037734,0.00029621425,0.000007859345,0.000102352446,0.000015807938,0.00025218408,0.00014332806,0.00007198717],"category_scores_gemma":[0.00034789706,0.0000901281,0.00007649311,0.00004391361,0.00019175025,0.00003905256,0.000142267,0.00033746872,0.0000029614782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018677994,0.00142205,0.64471304,0.00032548222,0.0002737821,7.8451177e-7,0.00031625,0.0002082985,0.1436845,0.019617446,0.00072328554,0.18684728],"study_design_scores_gemma":[0.026711088,0.0014947471,0.16976757,0.0008118448,0.0004246306,0.0000034978166,0.0001365916,0.03419208,0.2869387,0.35419342,0.12304601,0.0022798243],"about_ca_topic_score_codex":0.00015226028,"about_ca_topic_score_gemma":0.000018639805,"teacher_disagreement_score":0.47494546,"about_ca_system_score_codex":0.00002454494,"about_ca_system_score_gemma":0.000030940202,"threshold_uncertainty_score":0.36753175},"labels":[],"label_agreement":null},{"id":"W2169240844","doi":"10.1586/14789450.4.3.351","title":"Computational prediction of proteotypic peptides","year":2007,"lang":"en","type":"letter","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Bottom-up proteomics; Computational biology; Peptide; Chemistry; Mass spectrometry; Quantitative proteomics; Biochemistry; Tandem mass spectrometry; Biology; Chromatography; Protein mass spectrometry; Gene","score_opus":0.021077787649284124,"score_gpt":0.3177761640914966,"score_spread":0.2966983764422125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169240844","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002244255,0.08607262,0.7174728,0.17378308,0.00019622895,0.008253373,0.0021713509,0.00048615877,0.011339971],"genre_scores_gemma":[0.000026831418,0.03344052,0.8838431,0.07664772,0.0014975555,0.0017747532,0.0020000276,0.00010655291,0.0006628967],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747896,0.00002838408,0.0012858267,0.0004461917,0.0004946387,0.00026600552],"domain_scores_gemma":[0.9973279,0.00009118506,0.0013532677,0.00074527727,0.0004391325,0.000043230026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030368834,0.00036998224,0.0008339508,0.000102140715,0.00005706349,0.000007632932,0.0005199764,0.0006449417,0.00037670272],"category_scores_gemma":[0.00011782629,0.00035297268,0.00035270926,0.00019267891,0.00020287544,0.00007606977,0.000112005066,0.0011041065,0.000008704133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029202514,0.0001259495,0.000029701521,0.054783054,0.00012099572,0.000008555199,0.000064028034,0.00002379771,0.05552601,0.0007297416,0.88522536,0.003333638],"study_design_scores_gemma":[0.00021895737,0.00007055668,0.0000025819609,0.024776775,0.000066092216,0.000032172018,0.000006990279,0.00014284758,0.21295036,0.005483638,0.7558472,0.00040181613],"about_ca_topic_score_codex":0.000018153238,"about_ca_topic_score_gemma":2.4536845e-7,"teacher_disagreement_score":0.16637035,"about_ca_system_score_codex":0.00013442425,"about_ca_system_score_gemma":0.00021640114,"threshold_uncertainty_score":0.99989223},"labels":[],"label_agreement":null},{"id":"W2169267498","doi":"10.1109/iembs.2004.1403864","title":"Modeling protein tandem mass spectrometry data with an extended linear regression strategy","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Overfitting; Computer science; Robustness (evolution); Linear regression; Support vector machine; Singular value decomposition; Eigenvalues and eigenvectors; Regression analysis; Algorithm; Artificial intelligence; Machine learning; Chemistry; Artificial neural network","score_opus":0.040354238195594805,"score_gpt":0.32965199743498563,"score_spread":0.28929775923939083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169267498","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19543855,0.000047089037,0.79276276,0.0002139846,0.0000014611383,0.00022526381,0.00003153735,0.00043005685,0.010849336],"genre_scores_gemma":[0.48554054,0.00001901006,0.51292527,0.000018093284,0.00012671243,0.000049924252,0.00014029561,0.000022843651,0.0011572781],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888885,0.0000062005984,0.00020720476,0.00049524655,0.0001708933,0.00023158161],"domain_scores_gemma":[0.99850535,0.0000058818146,0.00006828998,0.0012692478,0.000048519574,0.00010268294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009602935,0.0001655222,0.00013752768,0.00003196127,0.00012071086,0.00003834068,0.0005278682,0.000107542386,0.0005323108],"category_scores_gemma":[0.000007650105,0.000121682846,0.000017588633,0.00012367469,0.000027128985,0.00040277955,0.0001045441,0.00027453087,0.000010728528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006929786,0.0001824853,0.000042624393,0.000026418102,0.000015153624,0.0000046217415,0.000010885193,0.00646016,0.9730991,0.006724673,0.000043863263,0.013320707],"study_design_scores_gemma":[0.00021969332,0.00004169863,9.0154583e-7,0.00004693067,0.000007747982,0.000008245497,0.00008346513,0.55870813,0.4352132,0.004915476,0.0005588207,0.00019565133],"about_ca_topic_score_codex":0.000023248407,"about_ca_topic_score_gemma":0.000028208153,"teacher_disagreement_score":0.552248,"about_ca_system_score_codex":0.000050606934,"about_ca_system_score_gemma":0.000048775397,"threshold_uncertainty_score":0.582843},"labels":[],"label_agreement":null},{"id":"W2169558190","doi":"10.1093/bioinformatics/btl326","title":"Difference detection in LC-MS data for protein biomarker discovery","year":2007,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biomarker discovery; Computer science; Task (project management); SIGNAL (programming language); Biomarker; Class (philosophy); Data mining; Artificial intelligence; Pattern recognition (psychology); Proteomics; Chemistry","score_opus":0.0337800281231293,"score_gpt":0.30226955595067095,"score_spread":0.26848952782754165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169558190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14629664,0.000014264111,0.85017776,0.000028920384,0.000015383186,0.0004531214,0.0002073629,0.000089965106,0.0027165888],"genre_scores_gemma":[0.7033265,0.000016901386,0.2953038,0.00003791573,0.00005601695,0.00022646718,0.00036040603,0.00001800749,0.0006539463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991904,0.0000014229199,0.0003683982,0.00013334994,0.0000897209,0.00021671789],"domain_scores_gemma":[0.9991021,0.000042131942,0.00014197319,0.00065124035,0.000024907162,0.000037624795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022541205,0.00010585842,0.00010142155,0.000051945328,0.00006576702,0.000043369793,0.0003453937,0.00010285647,0.000011355444],"category_scores_gemma":[0.00008052863,0.00009687888,0.000026091748,0.00012210598,0.0000343288,0.00036659534,0.00014292642,0.000104091305,0.000004800387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014066923,0.00013841417,0.0005259476,0.00063672435,0.000015860056,9.2992843e-7,0.00013838963,0.0000057060743,0.65970707,0.0032760731,0.00022545736,0.33518875],"study_design_scores_gemma":[0.00058275886,0.000026378237,0.0006671163,0.00013119334,0.000010452788,0.0000062042263,0.00021859976,0.071178526,0.89820844,0.005799949,0.0228221,0.00034830303],"about_ca_topic_score_codex":0.000019757623,"about_ca_topic_score_gemma":0.000066283355,"teacher_disagreement_score":0.5570299,"about_ca_system_score_codex":0.00006546731,"about_ca_system_score_gemma":0.000021393576,"threshold_uncertainty_score":0.3950606},"labels":[],"label_agreement":null},{"id":"W2169791190","doi":"10.1074/mcp.m700383-mcp200","title":"Combined Enzymatic and Data Mining Approaches for Comprehensive Phosphoproteome Analyses","year":2007,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Phosphatase; Dephosphorylation; Chemistry; Alkaline phosphatase; Phosphorylation; Enzyme; Biochemistry; Cell; Chromatography","score_opus":0.11672597685623981,"score_gpt":0.34514372095259493,"score_spread":0.22841774409635512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169791190","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4504857,0.0005342281,0.5472607,0.0000876616,0.00001086401,0.0009859196,0.00007897533,0.0001594948,0.00039641958],"genre_scores_gemma":[0.4691095,0.000026309439,0.5296269,0.00008057028,0.000045310037,0.000361892,0.00059004716,0.00006885574,0.00009061509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979271,0.00001700557,0.0005302428,0.00082083215,0.00021083016,0.00049396924],"domain_scores_gemma":[0.9978585,0.00011797641,0.00029920807,0.0014540394,0.0001043127,0.00016593668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038371983,0.00035296672,0.00041030598,0.000087263106,0.00025070945,0.00009064198,0.0007137943,0.00022522209,0.000017791417],"category_scores_gemma":[0.000094318224,0.00037424988,0.00010678584,0.00019665995,0.00016829182,0.00013366659,0.0004892701,0.00025598909,0.0000030147476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009235978,0.00008319164,0.0000708806,0.00028671586,0.00009227021,0.000015397427,0.000092495284,0.00008383372,0.99343127,0.0022074713,0.000053716023,0.003490421],"study_design_scores_gemma":[0.0007447131,0.000046832978,0.000010612391,0.000053729185,0.00010666088,0.000012067531,0.0003230372,0.024061555,0.9689466,0.0039034353,0.001367029,0.0004237626],"about_ca_topic_score_codex":0.00001840328,"about_ca_topic_score_gemma":0.0000025346953,"teacher_disagreement_score":0.024484683,"about_ca_system_score_codex":0.000060795865,"about_ca_system_score_gemma":0.000045308498,"threshold_uncertainty_score":0.99987096},"labels":[],"label_agreement":null},{"id":"W2169821086","doi":"10.5539/ijc.v4n5p1","title":"A Laborsaving, Timesaving, and More Reliable Strategy for Separation of Low-Molecular-Mass Phosphoproteins in Phos-tag Affinity Electrophoresis","year":2012,"lang":"en","type":"article","venue":"International Journal of Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Science and Technology Agency; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Chemistry; Tris; Tricine; Phos; Polyacrylamide gel electrophoresis; Gel electrophoresis; TCEP; Chromatography; Electrophoresis; Sodium dodecyl sulfate; Affinity electrophoresis; Phosphate; Biochemistry; Affinity chromatography; Enzyme","score_opus":0.007569787904232115,"score_gpt":0.3073064953752159,"score_spread":0.2997367074709838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169821086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980016,0.0007675817,0.0076172813,0.00017763991,0.000025259656,0.00009050144,0.000052649844,0.0000122109595,0.0014567487],"genre_scores_gemma":[0.98285383,0.00021484624,0.016447984,0.00002868105,0.00015033716,0.000040732422,0.000026387028,0.000019019719,0.00021820325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989789,0.000004144109,0.00047091447,0.000121761215,0.00024576214,0.00017848374],"domain_scores_gemma":[0.99878347,0.00004849804,0.0005503434,0.0001357648,0.00040130527,0.00008060579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018763918,0.00012705299,0.00019392368,0.00004401512,0.000024090512,0.000024197683,0.00028652183,0.00012637989,0.000164317],"category_scores_gemma":[0.00011749623,0.0001317217,0.00008862141,0.00007760151,0.000050879273,0.00018828282,0.000036563666,0.00024181986,3.5129017e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015899097,0.00015222162,0.0030586123,0.000092584305,0.000050286922,0.000004047303,0.00007187282,0.0002452567,0.9951721,0.0003147537,0.0001344031,0.0005449021],"study_design_scores_gemma":[0.000577551,0.00001884547,0.0001567185,0.00016073241,0.000017086373,0.00003768823,0.00007419322,0.00024796804,0.9949503,0.0025509603,0.0010901517,0.00011781157],"about_ca_topic_score_codex":0.000018696604,"about_ca_topic_score_gemma":9.272637e-7,"teacher_disagreement_score":0.008830702,"about_ca_system_score_codex":0.00013946147,"about_ca_system_score_gemma":0.000108843604,"threshold_uncertainty_score":0.5371455},"labels":[],"label_agreement":null},{"id":"W2169898809","doi":"10.1002/pmic.201100438","title":"Resolving protein interactions and complexes by affinity purification followed by label‐based quantitative mass spectrometry","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Mass spectrometry; Quantitative proteomics; Chemistry; Orbitrap; Chromatography; Quantitative analysis (chemistry); Resolution (logic); Immunoprecipitation; Computational biology; Tandem mass tag; Proteomics; Isobaric labeling; Computer science; Tandem mass spectrometry; Biochemistry; Protein mass spectrometry; Biology; Artificial intelligence","score_opus":0.06718569003689918,"score_gpt":0.3590962764138767,"score_spread":0.29191058637697753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169898809","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017785763,0.78050834,0.213203,0.00013338124,0.000029299628,0.0028931682,0.0018303054,0.00033427734,0.00089035346],"genre_scores_gemma":[0.00009802001,0.5064081,0.48584613,0.0000149606885,0.000079907004,0.005080895,0.0015675826,0.00013330353,0.00077107415],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767363,0.00009387006,0.00080237654,0.00073859433,0.00021266624,0.00047884783],"domain_scores_gemma":[0.99765754,0.00025183798,0.0010560201,0.0007492629,0.00010249682,0.00018284051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029341693,0.000611717,0.0010543138,0.00015117269,0.00035831082,0.0001470513,0.00047173095,0.00043115014,0.00016149768],"category_scores_gemma":[0.00014011822,0.0006140852,0.00021325858,0.0003763138,0.00015695282,0.00024373225,0.00012376554,0.0011492367,0.00003487371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062424064,0.00070782343,0.000018833016,0.017067013,0.00027011687,0.000001467806,0.00006597304,5.593618e-7,0.86923665,0.007402534,0.0031530806,0.10201353],"study_design_scores_gemma":[0.00026831875,0.00003719411,1.1194291e-7,0.0025969818,0.0003108764,0.000007852493,0.00002099475,0.00010760999,0.10805374,0.001650767,0.8861625,0.00078304857],"about_ca_topic_score_codex":0.000034682438,"about_ca_topic_score_gemma":0.00000379925,"teacher_disagreement_score":0.88300943,"about_ca_system_score_codex":0.0004065361,"about_ca_system_score_gemma":0.00012543498,"threshold_uncertainty_score":0.99963105},"labels":[],"label_agreement":null},{"id":"W2170617762","doi":"10.25011/cim.v32i2.6025","title":"An alternative kinase activity assay for primary cultures derived from clinical isolates","year":2009,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Hand and Upper Limb Clinic; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Biotinylation; Protein kinase B; Peptide; Kinase; Mass spectrometry; Phosphorylation; Chemistry; Streptavidin; Biochemistry; Proteome; Lysis; Biology; Chromatography; Biotin","score_opus":0.11438742970524116,"score_gpt":0.41537675727785306,"score_spread":0.3009893275726119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170617762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438651,0.00024923863,0.041235793,0.012891105,0.00008612786,0.0003683988,0.00011445085,0.00014892712,0.0010408537],"genre_scores_gemma":[0.9359498,0.0005555332,0.056931682,0.0044625355,0.0015905619,0.00009343152,0.00023631462,0.000017917087,0.00016222993],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982001,0.00011792753,0.0006969634,0.00066450366,0.0001126753,0.00020782636],"domain_scores_gemma":[0.9977833,0.0009069904,0.00035050648,0.00037071866,0.00015256062,0.00043591743],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006123009,0.0002388742,0.00061361585,0.000018476398,0.00016231573,0.00001657633,0.00025213772,0.00025418669,0.0000684758],"category_scores_gemma":[0.0015901317,0.00016993376,0.000114478134,0.00006697089,0.00382255,0.00020431193,0.000048130325,0.00057901815,0.0000022574031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042613206,0.00083047716,0.028321512,0.00004365709,0.00013251684,0.000005840741,0.00041618073,0.000002993879,0.76064456,0.011494282,0.002855559,0.19482628],"study_design_scores_gemma":[0.0026101826,0.0014638432,0.06309919,0.0002460135,0.00012773114,0.0000016034069,0.00012906932,0.00197946,0.18248089,0.7389816,0.008482414,0.00039798205],"about_ca_topic_score_codex":0.00004878293,"about_ca_topic_score_gemma":0.000006481875,"teacher_disagreement_score":0.7274873,"about_ca_system_score_codex":0.000020146961,"about_ca_system_score_gemma":0.000045999535,"threshold_uncertainty_score":0.9988885},"labels":[],"label_agreement":null},{"id":"W2170798895","doi":"10.1021/pr900767j","title":"Analysis of the Subcellular Phosphoproteome Using a Novel Phosphoproteomic Reactor","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Phosphoproteomics; Phosphopeptide; Phosphorylation; Subcellular localization; Organelle; Protein phosphorylation; Proteomics; Protein subcellular localization prediction; Proteome; Cell biology; Biology; Biochemistry; Chemistry; Computational biology; Cytoplasm; Protein kinase A","score_opus":0.0604349977037536,"score_gpt":0.37656642646825744,"score_spread":0.31613142876450384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170798895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828569,0.000112531845,0.015230632,0.0003502343,0.00006344133,0.0006696551,0.000056453682,0.000018503797,0.0006416448],"genre_scores_gemma":[0.90601367,0.000037460046,0.09327227,0.000009426533,0.00019730309,0.00009280411,0.0000021051974,0.00004374752,0.00033123288],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967436,0.000056929694,0.001010159,0.00031069844,0.001357557,0.00052105705],"domain_scores_gemma":[0.99595445,0.00018211393,0.0010939405,0.0011449937,0.0014243192,0.00020018408],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026147037,0.00021280634,0.0005901331,0.00060293474,0.00027128943,0.00006799844,0.0015012565,0.00029044214,0.0009303036],"category_scores_gemma":[0.0007024863,0.00014978898,0.00064544764,0.0026399808,0.0004803415,0.000207672,0.00035714835,0.002745986,0.0000033698727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010838909,0.00022634714,0.0036182415,0.00006784206,0.00032989334,0.0000040354807,0.000106868225,0.00011048104,0.99413264,0.0009350448,0.000015200977,0.00034501855],"study_design_scores_gemma":[0.00042919564,0.00005048085,0.00063963304,0.00010001772,0.00022755151,0.00006154128,0.00010219411,0.0023521506,0.991329,0.0025852586,0.0019602394,0.00016272989],"about_ca_topic_score_codex":0.00021477937,"about_ca_topic_score_gemma":0.00002058056,"teacher_disagreement_score":0.078041635,"about_ca_system_score_codex":0.0002085682,"about_ca_system_score_gemma":0.00052665843,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W2171913440","doi":"10.1074/mcp.d500006-mcp200","title":"Localization, Annotation, and Comparison of the Escherichia coli K-12 Proteome under Two States of Growth","year":2005,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; ORFS; Periplasmic space; Escherichia coli; Isoelectric focusing; Biochemistry; Biology; Bacterial outer membrane; Gel electrophoresis; Tandem mass spectrometry; Membrane protein; Proteomics; Isoelectric point; Cell fractionation; Inner membrane; Chemistry; Peptide sequence; Mass spectrometry; Gene; Open reading frame; Chromatography; Enzyme; Membrane","score_opus":0.008542608919887281,"score_gpt":0.25600235911653885,"score_spread":0.24745975019665156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171913440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5707372,0.00018228916,0.42798573,0.0002662551,0.0000057098696,0.0005681884,0.000022107142,0.00003340642,0.00019913197],"genre_scores_gemma":[0.8844387,0.00003325869,0.11500804,0.00009585144,0.00002326302,0.00021599513,0.00004897357,0.00004209833,0.0000937952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866575,0.000040022995,0.00056422595,0.0002902656,0.00024045918,0.00019929673],"domain_scores_gemma":[0.9986789,0.000021563186,0.00048763904,0.00049350347,0.00025811454,0.000060284092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013607925,0.00020085709,0.00028042085,0.000040165647,0.00012832874,0.000021770424,0.00030780563,0.000119957265,0.000030809086],"category_scores_gemma":[0.00004013559,0.00017899384,0.000084953266,0.0002360898,0.0002520471,0.00007923248,0.0001420223,0.00021582155,0.0000013457501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019804902,0.00013266767,0.0024382574,0.00015211041,0.000028569591,2.6336062e-7,0.0002970274,0.010971897,0.97668344,0.0090581775,0.000025992891,0.00019178902],"study_design_scores_gemma":[0.00043876775,0.000023123946,0.000047320536,0.000053119045,0.000037937312,0.000001363675,0.00009301456,0.016694417,0.96974874,0.01194855,0.0007314481,0.00018223091],"about_ca_topic_score_codex":0.000055119253,"about_ca_topic_score_gemma":0.000008858002,"teacher_disagreement_score":0.31370154,"about_ca_system_score_codex":0.00005365848,"about_ca_system_score_gemma":0.00006720455,"threshold_uncertainty_score":0.7299157},"labels":[],"label_agreement":null},{"id":"W2171987425","doi":"10.6000/1929-6037.2013.02.01.1","title":"On-Membrane Digestion Technology for Muscle Proteomics","year":2013,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Higher Education Authority","keywords":"Proteomics; Chemistry; Calsequestrin; Two-dimensional gel electrophoresis; Membrane protein; Bottom-up proteomics; Digestion (alchemy); Gel electrophoresis; Integral membrane protein; Biochemistry; Chromatography; Mass spectrometry; Endoplasmic reticulum; Protein mass spectrometry; Ryanodine receptor; Tandem mass spectrometry; Membrane","score_opus":0.009023702216364811,"score_gpt":0.2809910196977456,"score_spread":0.27196731748138075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171987425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9190061,0.00013884381,0.07203447,0.0074119316,0.000037746962,0.0005142523,0.000009453013,0.00017054517,0.00067666866],"genre_scores_gemma":[0.9268469,0.00038374178,0.07175735,0.00011085732,0.00008466945,0.00041129816,0.00000853397,0.000023629078,0.00037298424],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990195,0.00000541849,0.00048478166,0.00019410816,0.00010061749,0.00019556186],"domain_scores_gemma":[0.99884206,0.00007565478,0.00046374477,0.00025179188,0.00031379837,0.000052950276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012036565,0.00014952183,0.00028153925,0.0003978142,0.0001432508,0.000029421706,0.00022335764,0.0004293579,0.00008705213],"category_scores_gemma":[0.00017798702,0.0001319833,0.000064961474,0.00022210255,0.00013100245,0.00018384669,0.0000344956,0.00038322044,0.000009816402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044327226,0.000082975595,0.00006154339,0.00004743684,0.000019862075,0.000001376199,0.000017724991,0.000084574436,0.92775553,0.052723173,0.0003358848,0.018825604],"study_design_scores_gemma":[0.00069245277,0.00028199432,0.000011884402,0.00005123589,0.000020067142,0.00011644624,0.00009081875,0.0007704049,0.82873887,0.16079302,0.008298129,0.000134663],"about_ca_topic_score_codex":0.000001984632,"about_ca_topic_score_gemma":8.25415e-7,"teacher_disagreement_score":0.108069845,"about_ca_system_score_codex":0.00004688085,"about_ca_system_score_gemma":0.000036859947,"threshold_uncertainty_score":0.53821224},"labels":[],"label_agreement":null},{"id":"W2172080431","doi":"10.1074/mcp.m111.013854","title":"Interlaboratory Evaluation of Automated, Multiplexed Peptide Immunoaffinity Enrichment Coupled to Multiple Reaction Monitoring Mass Spectrometry for Quantifying Proteins in Plasma","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":182,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Argonne National Laboratory; National Cancer Institute; National Institutes of Health; Genome British Columbia; Entertainment Industry Foundation; National Heart, Lung, and Blood Institute; Genome Canada","keywords":"Chromatography; Chemistry; Mass spectrometry; Selected reaction monitoring; Peptide; Tandem mass spectrometry; Biochemistry","score_opus":0.05114284591955586,"score_gpt":0.3075388129444055,"score_spread":0.2563959670248496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172080431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76960313,0.000066620916,0.22671032,0.0000123888585,0.000053510983,0.0031482459,0.00003440248,0.00024530504,0.00012604521],"genre_scores_gemma":[0.59012103,0.0000075269286,0.40672353,0.0000037937903,0.000024759518,0.003007929,0.000048505637,0.000053369014,0.00000956495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99774164,0.00007031296,0.000755636,0.0005862236,0.0004292495,0.00041696138],"domain_scores_gemma":[0.99819016,0.00005096126,0.00046135276,0.00073119596,0.0004634668,0.00010284419],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010203073,0.00031910275,0.00037216235,0.0002641975,0.00011114227,0.000027829432,0.00036930092,0.00024351405,0.0000202699],"category_scores_gemma":[0.00042140554,0.00037976983,0.0001446136,0.00044644976,0.00004244997,0.00014416676,0.00010797801,0.00033919257,0.000006248065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026733885,0.0002677464,0.0016121411,0.00017127444,0.000046493373,0.000004032875,0.00038815438,0.0009504424,0.99570256,0.00017295926,0.0000013774927,0.0004154861],"study_design_scores_gemma":[0.0014503958,0.000089281035,0.00026924218,0.00017433037,0.000055147946,0.0000017253817,0.0002979622,0.093838885,0.9028426,0.00062501966,0.000021345557,0.0003341047],"about_ca_topic_score_codex":0.00024194713,"about_ca_topic_score_gemma":0.00002143999,"teacher_disagreement_score":0.18001321,"about_ca_system_score_codex":0.00067969086,"about_ca_system_score_gemma":0.00015223447,"threshold_uncertainty_score":0.9998654},"labels":[],"label_agreement":null},{"id":"W2173466864","doi":"10.1074/mcp.m115.048967","title":"Prediction of Recurrence and Survival for Triple-Negative Breast Cancer (TNBC) by a Protein Signature in Tissue Samples","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Cancer Research","keywords":"Triple-negative breast cancer; Breast cancer; Oncology; Signature (topology); Internal medicine; Medicine; Cancer research; Cancer; Mathematics","score_opus":0.020543463976079708,"score_gpt":0.2678030960104018,"score_spread":0.2472596320343221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173466864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6289178,0.00082518725,0.36507496,0.00027894563,0.00002549266,0.0024038784,0.00226468,0.00006388888,0.00014514444],"genre_scores_gemma":[0.8814519,0.00008415843,0.11403267,0.000019956347,0.0000569127,0.0037650792,0.00028080735,0.00006148295,0.0002470103],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871397,0.00003626222,0.00036251917,0.0004403799,0.00019131774,0.00025553317],"domain_scores_gemma":[0.9991105,0.000026955571,0.00024426123,0.00030574898,0.0002000386,0.0001124615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484204,0.00022321535,0.00029196907,0.000053790183,0.00005096019,0.00002253386,0.0002082481,0.00024638392,0.000016730446],"category_scores_gemma":[0.00010539094,0.00023716965,0.000050891926,0.00018687584,0.00011256451,0.00009449393,0.00007821537,0.0002926691,4.9361955e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014162713,0.00010321293,0.00023282276,0.00016879,0.000015696696,0.000002421725,0.00013355303,0.00007973022,0.9964972,0.0007758041,0.000092980816,0.0017561435],"study_design_scores_gemma":[0.0011038219,0.00006150711,0.000013216439,0.00015187134,0.00001902209,0.000003882265,0.00008401739,0.0010372053,0.9841624,0.011784798,0.0013690058,0.00020925103],"about_ca_topic_score_codex":0.0002829497,"about_ca_topic_score_gemma":0.000020886153,"teacher_disagreement_score":0.25253412,"about_ca_system_score_codex":0.00012672716,"about_ca_system_score_gemma":0.00012139154,"threshold_uncertainty_score":0.96714973},"labels":[],"label_agreement":null},{"id":"W2175663749","doi":"10.1016/j.mex.2015.11.001","title":"Sequential fractionation and isolation of subcellular proteins from tissue or cultured cells","year":2015,"lang":"en","type":"article","venue":"MethodsX","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Organelle; Cell fractionation; Cytosol; Cellular compartment; Membrane; Protein subcellular localization prediction; Cell biology; Compartment (ship); Subcellular localization; Biochemistry; Lysis; Fractionation; Cell disruption; Cytoplasm; Chemistry; Biology; Cell; Chromatography; Enzyme","score_opus":0.05841554664994641,"score_gpt":0.3632509166487629,"score_spread":0.3048353699988165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175663749","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06903426,0.00009115036,0.9294311,0.00008865504,0.000025920419,0.00020233043,0.00005240139,0.000065543594,0.0010086646],"genre_scores_gemma":[0.09401201,0.000022874936,0.9046285,0.000011017968,0.00009918277,0.00008643247,0.000083380415,0.000012332799,0.001044263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943745,0.00003257936,0.0001776626,0.00017227887,0.000110634755,0.00006942005],"domain_scores_gemma":[0.99947053,0.000050880128,0.00015175059,0.00017570483,0.00010045466,0.000050704206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015895981,0.00007882666,0.00011553268,0.000020468888,0.000040864317,0.000012611349,0.00006624405,0.00011150742,0.00015419874],"category_scores_gemma":[0.00007257961,0.00006919606,0.000018487275,0.00007191289,0.000038633465,0.00010165299,0.000030803458,0.00009501574,0.000003722728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039559116,0.000024847695,0.000047912596,0.000014714141,0.0000073343535,4.965504e-7,0.00022715775,0.00003623306,0.99255824,0.00049245043,0.00007725677,0.00647379],"study_design_scores_gemma":[0.00021507723,0.00001759815,0.000009004247,0.000010482469,0.000017158807,0.000001439951,0.00006845917,0.0014937823,0.95343006,0.021397626,0.023258192,0.000081121645],"about_ca_topic_score_codex":0.00020831246,"about_ca_topic_score_gemma":0.000006292718,"teacher_disagreement_score":0.039128188,"about_ca_system_score_codex":0.000038282582,"about_ca_system_score_gemma":0.000028715276,"threshold_uncertainty_score":0.28217334},"labels":[],"label_agreement":null},{"id":"W2177955357","doi":"10.1007/978-3-540-35488-8_31","title":"Feature Extraction for Classification of Proteomic Mass Spectra: A Comparative Study","year":2008,"lang":"en","type":"book-chapter","venue":"Studies in fuzziness and soft computing","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; University of Alberta","keywords":"Dimensionality reduction; Feature selection; Feature extraction; Pattern recognition (psychology); Computer science; Classifier (UML); Artificial intelligence; Curse of dimensionality; Data mining; Centroid; Machine learning","score_opus":0.08623122658132852,"score_gpt":0.3712713361300693,"score_spread":0.28504010954874076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177955357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38388076,0.02112176,0.28060266,0.0010903877,0.0007978321,0.020559572,0.0006690327,0.0010522573,0.29022574],"genre_scores_gemma":[0.93449444,0.0018293652,0.04715803,0.000008134381,0.00043221586,0.0006099385,0.00007554953,0.00007544259,0.015316906],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987771,0.0000074318395,0.00043183618,0.00048422406,0.00013041392,0.00016899759],"domain_scores_gemma":[0.99866277,0.00022384731,0.0005908124,0.0002536699,0.00024449127,0.000024399142],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013272272,0.0003104958,0.00069160946,0.000088778885,0.00024213135,0.00001088173,0.00013208594,0.00019363003,0.0000029026774],"category_scores_gemma":[0.000029642059,0.00030076026,0.000083129235,0.00004594575,0.00020140682,0.00004301087,0.00009355656,0.00041730443,4.3603225e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035686684,0.0039896043,0.027152622,0.027362674,0.0076558506,0.00016571821,0.09370998,0.003308202,0.3323221,0.30354682,0.01806372,0.17915404],"study_design_scores_gemma":[0.02866032,0.0037457685,0.014578058,0.02687268,0.0030456972,0.00042794907,0.09960427,0.07716496,0.088370316,0.429932,0.21142016,0.016177826],"about_ca_topic_score_codex":0.0000038437397,"about_ca_topic_score_gemma":0.000012671182,"teacher_disagreement_score":0.55061364,"about_ca_system_score_codex":0.00012633487,"about_ca_system_score_gemma":0.000030793366,"threshold_uncertainty_score":0.99994445},"labels":[],"label_agreement":null},{"id":"W2179906156","doi":"10.1074/mcp.o115.049791","title":"QuantFusion: Novel Unified Methodology for Enhanced Coverage and Precision in Quantifying Global Proteomic Changes in Whole Tissues","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute","keywords":"Stable isotope labeling by amino acids in cell culture; Label-free quantification; Quantitative proteomics; Proteome; Peptide; Computational biology; Quantitative analysis (chemistry); Biology; Proteomics; Bioinformatics; Chemistry; Biochemistry; Chromatography; Gene","score_opus":0.08666380207549894,"score_gpt":0.3525517767235272,"score_spread":0.26588797464802827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179906156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5313369,0.00027579872,0.46642318,0.00031324514,0.000022751607,0.0013800769,0.000046002242,0.000056852838,0.00014519453],"genre_scores_gemma":[0.574094,0.000057846235,0.4241424,0.000059416947,0.000034983983,0.0014055994,0.0000894755,0.00004303778,0.000073270945],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997986,0.000086084634,0.00049867836,0.00075003464,0.00019635886,0.00048279657],"domain_scores_gemma":[0.99890596,0.000081114544,0.00024118833,0.0005234855,0.00010653917,0.00014173935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085754157,0.00033132016,0.0004927391,0.000115069306,0.00007517539,0.000057160367,0.00033751232,0.0003893707,0.000008152405],"category_scores_gemma":[0.00033758162,0.0003632047,0.000067087574,0.0003070513,0.000086953834,0.00010278306,0.00025470575,0.0003262209,0.0000035204757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002797844,0.00011870677,0.00030942162,0.0001294717,0.000008844066,0.000015426296,0.00023664536,0.0005576612,0.9913308,0.0038851842,0.0000056688336,0.0031223842],"study_design_scores_gemma":[0.0020317256,0.00010622391,0.000025822948,0.00014653694,0.000013398607,0.000013502751,0.00014032629,0.003697611,0.96532,0.026901653,0.0012185235,0.00038466678],"about_ca_topic_score_codex":0.00015986842,"about_ca_topic_score_gemma":0.00020341937,"teacher_disagreement_score":0.042757086,"about_ca_system_score_codex":0.00027600778,"about_ca_system_score_gemma":0.00010856588,"threshold_uncertainty_score":0.999882},"labels":[],"label_agreement":null},{"id":"W2180283910","doi":"10.1186/1471-2105-9-s6-s13","title":"Quality assessment of peptide tandem mass spectra","year":2008,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrum; Tandem; Computer science; Tandem mass spectrometry; Quality (philosophy); Spectral line; Classifier (UML); Pattern recognition (psychology); Linear discriminant analysis; Artificial intelligence; Data mining; Mass spectrometry; Biological system; Chemistry; Biology; Chromatography; Materials science; Physics","score_opus":0.04926022827379116,"score_gpt":0.3350040443686998,"score_spread":0.2857438160949086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180283910","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03891439,0.000010940093,0.8289358,0.000025501498,0.000009549181,0.000118233715,0.000048354694,0.0001238362,0.13181338],"genre_scores_gemma":[0.12044617,0.00009019766,0.87869996,0.000029571509,0.00002882947,0.000035233457,0.0000347382,0.000009576936,0.000625731],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990202,0.000004742456,0.0005395696,0.00008161587,0.00019878516,0.00015506208],"domain_scores_gemma":[0.999077,0.000058394664,0.0003182074,0.00043098108,0.000060652426,0.00005471695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012506853,0.00010872623,0.00018729526,0.00002535725,0.0000908981,0.0000074244836,0.00019600274,0.00008381778,0.00016444759],"category_scores_gemma":[0.00002558506,0.000102182144,0.00008650542,0.0000920262,0.0000865006,0.0001110089,0.00004382643,0.00014657919,0.000011319037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053711607,0.00087127247,0.44334838,0.0039175977,0.00017410784,0.0000066282937,0.0022379134,0.0035519432,0.22197309,0.30828997,0.007895811,0.0076795616],"study_design_scores_gemma":[0.0021086177,0.00011180153,0.026644936,0.00019920687,0.000057128836,0.00009714478,0.0019183642,0.25863773,0.6391822,0.037244946,0.032368083,0.0014298583],"about_ca_topic_score_codex":0.0000075052635,"about_ca_topic_score_gemma":0.0000025957142,"teacher_disagreement_score":0.41720912,"about_ca_system_score_codex":0.000067168025,"about_ca_system_score_gemma":0.00010053961,"threshold_uncertainty_score":0.4166867},"labels":[],"label_agreement":null},{"id":"W2183117764","doi":"10.1016/j.eururo.2015.10.053","title":"The Proteome of Primary Prostate Cancer","year":2015,"lang":"en","type":"article","venue":"European Urology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Novo Nordisk Fonden","keywords":"Medicine; Prostate cancer; Proteome; Primary (astronomy); Prostate; Oncology; Gynecology; Internal medicine; Cancer; Bioinformatics","score_opus":0.019486643359062618,"score_gpt":0.2646833325421228,"score_spread":0.24519668918306017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183117764","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4514858,0.00203868,0.004122439,0.004991284,0.00009443532,0.00061957235,0.00006687398,0.00035569785,0.5362252],"genre_scores_gemma":[0.9858183,0.0003296962,0.0061283032,0.0004278403,0.00017985552,0.00025228527,0.000015769352,0.00005177978,0.006796146],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994542,0.0000350394,0.0001666405,0.00013626987,0.00006279873,0.00014507279],"domain_scores_gemma":[0.999417,0.000031965392,0.00012326306,0.00031466119,0.000066822315,0.00004628866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019563561,0.00006796927,0.00008264796,0.000009450008,0.000058820333,0.0000062221,0.0002526614,0.000022946302,0.000027018754],"category_scores_gemma":[0.00003924707,0.000048474543,0.000023746505,0.000049008537,0.00014044723,0.000021426371,0.00012020574,0.00014022611,0.000027891361],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005612487,0.00018009904,0.0071681053,0.00011465593,0.00008079605,0.00003148833,0.0011203856,0.00051345973,0.8433727,0.019093018,0.018188678,0.10957537],"study_design_scores_gemma":[0.00036843892,0.000066210574,0.00052733556,0.0000058445657,0.000011940336,0.000012884401,0.000026340884,0.000050402683,0.07694472,0.006472432,0.9153928,0.000120661614],"about_ca_topic_score_codex":0.000009088203,"about_ca_topic_score_gemma":0.0000020027162,"teacher_disagreement_score":0.8972041,"about_ca_system_score_codex":0.000022446096,"about_ca_system_score_gemma":0.000043265354,"threshold_uncertainty_score":0.19767345},"labels":[],"label_agreement":null},{"id":"W21843527","doi":"10.1016/j.jacc.2006.06.063","title":"Cardiovascular Proteomics","year":2006,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto; Heart and Stroke Foundation; Canadian Institutes of Health Research","funders":"National Heart, Lung, and Blood Institute","keywords":"Proteomics; Medicine; Computational biology; Systems biology; Proteome; Bioinformatics; Disease; Biology; Pathology; Genetics; Gene","score_opus":0.01950713962186633,"score_gpt":0.30101841895852555,"score_spread":0.2815112793366592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W21843527","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008544736,0.9900802,0.005582824,0.000045554985,0.00010713676,0.0004086756,0.00046884088,0.000014656329,0.0032066791],"genre_scores_gemma":[0.0001084847,0.98040944,0.01811061,0.000010467623,0.0008236032,0.00008061158,0.0000050453673,0.00005987947,0.0003918449],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791145,0.00018053598,0.0011744554,0.00021625582,0.0002853842,0.00023190513],"domain_scores_gemma":[0.9950815,0.00016366864,0.0034157413,0.0010463112,0.00023734441,0.00005547498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040632667,0.00031918794,0.0039483733,0.00011994726,0.00006922848,0.000004200282,0.0012154629,0.00020824683,0.0000062623362],"category_scores_gemma":[0.00009641516,0.00020374013,0.004308306,0.00042654888,0.0005299367,0.000027677292,0.00021763472,0.0008272213,0.0000017980085],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012011328,0.00010990074,0.000113559174,0.012578853,0.011756855,0.00034259097,0.000006553682,0.002378262,0.0007115073,0.0020143639,0.03556017,0.9343073],"study_design_scores_gemma":[0.000110332134,0.00004630624,8.2020733e-7,0.0011820006,0.0017076982,0.002268589,0.000007815432,0.0000012590016,0.00025849152,0.0005324857,0.993699,0.0001851849],"about_ca_topic_score_codex":0.000007030328,"about_ca_topic_score_gemma":2.618757e-7,"teacher_disagreement_score":0.9581388,"about_ca_system_score_codex":0.00021812809,"about_ca_system_score_gemma":0.00048061344,"threshold_uncertainty_score":0.83082813},"labels":[],"label_agreement":null},{"id":"W2184974509","doi":"10.7554/elife.09579","title":"Determining composition of micron-scale protein deposits in neurodegenerative disease by spatially targeted optical microproteomics","year":2015,"lang":"en","type":"article","venue":"eLife","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"Consortium canadien en neurodégénérescence associée au vieillissement; ALS Society of Canada","keywords":"Proteomics; Ex vivo; Confocal; Amyloid (mycology); In vivo; In situ; Chemistry; Confocal microscopy; Fluorescence; Molecular biology; Mass spectrometry; Pathology; Biology; Biophysics; Biochemistry; Cell biology; Chromatography; Medicine; Gene; Genetics","score_opus":0.012022026892549685,"score_gpt":0.2533177760673381,"score_spread":0.24129574917478838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184974509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9457243,0.000120575874,0.05311702,0.00016632926,0.000010600627,0.00040772712,0.000104055674,0.00006547449,0.00028389684],"genre_scores_gemma":[0.85596126,0.000009091489,0.14342341,0.000062775056,0.00004318922,0.00026098185,0.00014801911,0.000026984864,0.00006426891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897677,0.00002176687,0.00035130628,0.000288041,0.00016541034,0.0001967078],"domain_scores_gemma":[0.9992778,0.000015126491,0.00014764759,0.00026315296,0.00011147965,0.00018484768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007531091,0.00015352538,0.00019078235,0.00003410389,0.00004502156,0.000018600978,0.0001798418,0.00008870578,0.000008728501],"category_scores_gemma":[0.000032085583,0.00016688765,0.000044009525,0.00009689364,0.000073687435,0.00008095679,0.00008407841,0.00019354247,0.0000047719755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091793794,0.00014324166,0.0022895064,0.000030221521,0.000003631995,0.000005101196,0.00008366899,0.0002330779,0.99633193,0.00009705291,0.000117869895,0.00057291496],"study_design_scores_gemma":[0.0004820075,0.000032805932,0.00019039196,0.00007144478,0.00000846416,0.0000027923645,0.000018785928,0.0020167108,0.9966272,0.0001767888,0.00019919693,0.0001734109],"about_ca_topic_score_codex":0.000026687027,"about_ca_topic_score_gemma":0.000015744425,"teacher_disagreement_score":0.090306394,"about_ca_system_score_codex":0.00008122552,"about_ca_system_score_gemma":0.000090903864,"threshold_uncertainty_score":0.6805481},"labels":[],"label_agreement":null},{"id":"W2193169293","doi":"10.12688/f1000research.6529.2","title":"Amicon-adapted enhanced FASP: an in-solution digestion-based alternative sample preparation method to FASP","year":2015,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Mitacs; Université de Sherbrooke","keywords":"Chromatography; Proteome; Sample preparation; Trypsin; Sample (material); Chemistry; Sodium dodecyl sulfate; Digestion (alchemy); Computational biology; Biology; Enzyme; Biochemistry","score_opus":0.08343363931518878,"score_gpt":0.4464955371363363,"score_spread":0.3630618978211475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193169293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12451231,0.00004068908,0.8685454,0.000521046,0.00004903854,0.0017504888,0.00071465154,0.00037867238,0.0034876934],"genre_scores_gemma":[0.59921443,0.000030513522,0.39331475,0.00005379096,0.00023087507,0.0042165904,0.0023814586,0.00008355297,0.0004740363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965875,0.00024766233,0.0006026569,0.0012039652,0.00076154916,0.0005966561],"domain_scores_gemma":[0.99677974,0.00044512446,0.00025412955,0.0013328143,0.0008293575,0.00035885035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011734986,0.0003879242,0.00044488435,0.00039282622,0.00015292408,0.00014914088,0.0010003444,0.0005209178,0.00029174157],"category_scores_gemma":[0.00059872004,0.00043883556,0.00010165499,0.00042243733,0.00008330996,0.00017314835,0.0007081076,0.0013449598,0.000054030075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006898363,0.0005057386,0.00035046553,0.00023929226,0.000043368178,0.0000056758563,0.0010302854,0.1257534,0.8446431,0.0034931428,0.0005875791,0.022658095],"study_design_scores_gemma":[0.00045699265,0.000118055425,0.00008234322,0.00022664007,0.0000123983245,8.317534e-7,0.00008964214,0.18968698,0.7620501,0.04372458,0.0030621071,0.00048931286],"about_ca_topic_score_codex":0.0036861468,"about_ca_topic_score_gemma":0.0006272838,"teacher_disagreement_score":0.47523066,"about_ca_system_score_codex":0.0012789787,"about_ca_system_score_gemma":0.000706288,"threshold_uncertainty_score":0.99980634},"labels":[],"label_agreement":null},{"id":"W2194477621","doi":"10.1038/nmeth.3655","title":"MSPLIT-DIA: sensitive peptide identification for data-independent acquisition","year":2015,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Spinal Cord Injury BC; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Identification (biology); Computational biology; Peptide; Chemistry; Biology; Biochemistry","score_opus":0.05070079411617558,"score_gpt":0.4229341241777745,"score_spread":0.3722333300615989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194477621","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017116769,0.00069260265,0.8969375,0.09141976,0.0003821192,0.0009588728,0.003684199,0.00038693871,0.0055209063],"genre_scores_gemma":[0.00010557887,0.0000701336,0.87527287,0.07149022,0.0055519016,0.0008742272,0.03701947,0.0001493219,0.00946625],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971549,0.00015066819,0.00055463857,0.001275757,0.00045049962,0.00041356237],"domain_scores_gemma":[0.99541277,0.0006166254,0.0006747323,0.0025136794,0.0006995747,0.000082601604],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0016849962,0.00045043955,0.0005191411,0.00011677885,0.00017619427,0.000115722825,0.0010486151,0.0036025033,0.00006330606],"category_scores_gemma":[0.0005064196,0.00045936665,0.00018604218,0.0001624013,0.00007338611,0.00021108915,0.00034966384,0.0042388286,0.000021560296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025783942,0.000020936011,8.046727e-7,0.0002613636,0.00007912942,0.000012002201,0.000027305578,0.0000019099323,0.076744914,0.00059066433,0.9076573,0.014577893],"study_design_scores_gemma":[0.00018922666,0.000008197032,0.0000015424088,0.000062996696,0.00018649272,0.00002909586,0.000019194063,0.0004960125,0.18582907,0.026994843,0.7857871,0.00039620005],"about_ca_topic_score_codex":0.000011535176,"about_ca_topic_score_gemma":0.0000027416447,"teacher_disagreement_score":0.12187017,"about_ca_system_score_codex":0.00038090444,"about_ca_system_score_gemma":0.00015164322,"threshold_uncertainty_score":0.9997858},"labels":[],"label_agreement":null},{"id":"W2195245771","doi":"10.1515/cclm-2015-0773","title":"Glypican-1 as a highly sensitive and specific pancreatic cancer biomarker","year":2015,"lang":"en","type":"letter","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Pancreatic cancer; Biomarker; Glypican 3; Medicine; Cancer; Cancer research; Internal medicine; Chemistry; Biochemistry","score_opus":0.04552850159656697,"score_gpt":0.3584794137303498,"score_spread":0.31295091213378284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2195245771","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31255504,0.030158943,0.00031038112,0.60750264,0.00056276773,0.0011272152,0.003095228,0.0009491225,0.043738674],"genre_scores_gemma":[0.06439306,0.09825687,0.008193185,0.69062275,0.069208525,0.0021441393,0.0055690208,0.00097343605,0.06063904],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99676675,0.000070909104,0.0010316079,0.0012429723,0.0004084253,0.0004793587],"domain_scores_gemma":[0.99674684,0.0007832797,0.0006056575,0.000903703,0.00046784073,0.0004926593],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005373333,0.000656088,0.0012082598,0.000022812894,0.00015514207,0.000038733575,0.00030300746,0.0017912557,0.0007060321],"category_scores_gemma":[0.00054629234,0.0005627838,0.00010136487,0.00023074001,0.0016488114,0.00006963976,0.00019248007,0.0028984328,0.000015432874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012731508,0.000046695994,0.00032730168,0.00090350426,0.00017931729,0.00035321625,0.000055308246,1.084903e-7,0.040891223,0.000025554215,0.9549314,0.0021590777],"study_design_scores_gemma":[0.0011458608,0.000053391377,0.00003998859,0.0008924685,0.00030095433,0.00005865994,0.00013922226,0.000014133599,0.021824032,0.0012757413,0.97361493,0.0006406433],"about_ca_topic_score_codex":0.000045079236,"about_ca_topic_score_gemma":0.000001130738,"teacher_disagreement_score":0.24816197,"about_ca_system_score_codex":0.00012257001,"about_ca_system_score_gemma":0.00035978926,"threshold_uncertainty_score":0.99968237},"labels":[],"label_agreement":null},{"id":"W2195864334","doi":"10.1016/j.compbiolchem.2015.12.001","title":"Deceptive responsive genes in gel-based proteomics","year":2015,"lang":"en","type":"article","venue":"Computational Biology and Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Proteome; Proteomics; Two-dimensional gel electrophoresis; Gel electrophoresis; Gene; Protein expression; Computational biology; Gene expression; Biology; Chemistry; Chromatography; Molecular biology; Biochemistry","score_opus":0.02010112075595443,"score_gpt":0.30721658191579787,"score_spread":0.28711546115984343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2195864334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547782,0.00031365396,0.041955303,0.00036745626,0.0000072722355,0.000086763706,0.000054066288,0.000061830855,0.0023754698],"genre_scores_gemma":[0.9026788,0.000013306332,0.096582405,0.000110221066,0.00005234373,0.00014994924,0.00026845472,0.000008561076,0.00013598624],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994397,0.0000093343915,0.0001528845,0.00023618,0.000040747465,0.00012115227],"domain_scores_gemma":[0.9995623,0.00010251697,0.00006834521,0.000101943224,0.00009462274,0.00007026215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071594724,0.000101462276,0.00011039572,0.000017382803,0.000047004116,0.0000073406054,0.00009674354,0.00016075381,0.000046521567],"category_scores_gemma":[0.00006125963,0.00010413512,0.000020692065,0.00006327575,0.00016222357,0.00002272538,0.000046395035,0.00015153435,0.0000042354636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004374615,0.00018087328,0.062657245,0.000103431266,0.000027815404,0.000011321959,0.0001442233,0.010309858,0.9152094,0.0061862594,0.00024912338,0.004482976],"study_design_scores_gemma":[0.0012383497,0.00002135545,0.000460048,0.000038021957,0.0000074644618,0.000027173257,0.00019178343,0.010349742,0.83951455,0.14437687,0.0034518184,0.0003228283],"about_ca_topic_score_codex":0.0000039793367,"about_ca_topic_score_gemma":7.5458985e-7,"teacher_disagreement_score":0.13819061,"about_ca_system_score_codex":0.00005554165,"about_ca_system_score_gemma":0.00013595616,"threshold_uncertainty_score":0.4246507},"labels":[],"label_agreement":null},{"id":"W2196213277","doi":"10.1007/978-1-61779-885-6_31","title":"MSQuant: A Platform for Stable Isotope-Based Quantitative Proteomics","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quantitative proteomics; Stable isotope labeling by amino acids in cell culture; Proteomics; Computer science; Protein expression; Computational biology; Data science; Chemistry; Biology; Biochemistry","score_opus":0.058196044881210704,"score_gpt":0.4416440570197036,"score_spread":0.3834480121384929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2196213277","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017459823,0.00033404294,0.9798908,0.000115159535,0.000032453572,0.00068463915,0.00006562516,0.00007688566,0.0013405693],"genre_scores_gemma":[0.008295442,0.000012790838,0.98885465,0.00020481346,0.000029447743,0.0024255493,0.000074205964,0.000035545007,0.00006753672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988755,0.00007101618,0.00029075207,0.0002773678,0.000035639692,0.00044972874],"domain_scores_gemma":[0.99906075,0.00033131643,0.00013616888,0.00035593,0.00005166107,0.0000641751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078363466,0.00016549535,0.00025937485,0.000072629606,0.00006733618,0.000008163882,0.00021957113,0.00024078795,0.000053972126],"category_scores_gemma":[0.0003466099,0.00015945677,0.00009296087,0.00014457233,0.00009123185,0.000047697104,0.00006246414,0.00021103228,0.000003058503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058766258,0.00007317737,0.00059841684,0.000042549815,0.000010080053,3.2933167e-7,0.000042155396,0.000059537866,0.8481197,0.14761126,0.0000072738944,0.0033767642],"study_design_scores_gemma":[0.00038340947,0.00005438157,0.000004331375,0.000014312226,0.000009422195,0.0000018692756,0.000040877207,0.002808065,0.8983053,0.078442566,0.019747935,0.00018756234],"about_ca_topic_score_codex":0.000020216894,"about_ca_topic_score_gemma":0.0000024978146,"teacher_disagreement_score":0.06916869,"about_ca_system_score_codex":0.00008389852,"about_ca_system_score_gemma":0.000041557494,"threshold_uncertainty_score":0.65024585},"labels":[],"label_agreement":null},{"id":"W2212194594","doi":"10.1016/j.chroma.2015.09.042","title":"Comparison of sodium dodecyl sulfate depletion techniques for proteome analysis by mass spectrometry","year":2015,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Mass spectrometry; Sodium dodecyl sulfate; Acetone; Protein precipitation; Proteome; Protein purification; Precipitation; Sample preparation; Gel electrophoresis; Biochemistry","score_opus":0.02109615696811128,"score_gpt":0.3249774520198159,"score_spread":0.30388129505170464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212194594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27481094,0.0005736664,0.7232813,0.0001722304,0.000014394554,0.0002627221,0.00008413798,0.0000741212,0.0007264515],"genre_scores_gemma":[0.677153,0.00006493305,0.3225723,0.000008787948,0.00006548911,0.00007561002,0.000023232982,0.000018098837,0.000018554589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99843335,0.000016172175,0.0008479462,0.00016616104,0.00033540986,0.00020097339],"domain_scores_gemma":[0.9977057,0.0000514559,0.0013528966,0.00029248005,0.0004530289,0.00014442377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039555138,0.00016699244,0.00061482546,0.0005245749,0.000054282027,0.000029315494,0.00033808645,0.00014691913,0.00002816652],"category_scores_gemma":[0.000042623215,0.00015028477,0.00057193707,0.0009870185,0.00008553695,0.00015092618,0.000024422894,0.00023499988,3.3092476e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015047658,0.00026314743,0.020496586,0.00010690975,0.0004725682,9.847718e-7,0.000060527876,0.000013567215,0.97474235,0.00040023768,0.0029215415,0.00037109674],"study_design_scores_gemma":[0.00046563116,0.00022771358,0.00009631293,0.00005452663,0.00039793487,0.00001306078,0.0001356252,0.00027994,0.9809717,0.010773065,0.0064244005,0.0001600995],"about_ca_topic_score_codex":0.0000084209905,"about_ca_topic_score_gemma":0.000001257713,"teacher_disagreement_score":0.40234205,"about_ca_system_score_codex":0.00006391232,"about_ca_system_score_gemma":0.000050322677,"threshold_uncertainty_score":0.6128435},"labels":[],"label_agreement":null},{"id":"W2216389216","doi":"10.1016/j.jprot.2015.12.015","title":"Protein species as diagnostic markers","year":2015,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Proteomics; Biology; Disease; Glycated hemoglobin; Glycosylation; Computational biology; Bioinformatics; Diabetes mellitus; Medicine; Pathology; Type 2 diabetes; Biochemistry; Gene; Endocrinology","score_opus":0.043194898626960604,"score_gpt":0.3422704803118348,"score_spread":0.29907558168487425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216389216","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004606425,0.98446995,0.00648939,0.0000720622,0.00007683835,0.0013292216,0.0000921318,0.000055897217,0.007368457],"genre_scores_gemma":[0.0000019801366,0.8649418,0.13006242,0.000011296272,0.0007856114,0.00043804062,0.00002363592,0.00010345777,0.00363178],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99751794,0.00004842129,0.0014032226,0.00027542768,0.0004401586,0.0003148286],"domain_scores_gemma":[0.99591863,0.0002035148,0.002658547,0.0005653005,0.00039005437,0.00026397075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005813088,0.00048114368,0.001664692,0.00017325398,0.00008038386,0.000088486115,0.00093064894,0.0005119498,0.00032239826],"category_scores_gemma":[0.0009772476,0.00038301398,0.00071637856,0.00022054069,0.0001099577,0.000152794,0.00017425364,0.0014529381,0.000075742166],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094182506,0.00031975942,0.000003943873,0.023339087,0.0005362516,0.00027428212,0.000057316785,0.00000830896,0.0017220041,0.0050849626,0.008114728,0.96044517],"study_design_scores_gemma":[0.0001922043,0.000086445034,3.7987025e-8,0.012106081,0.00037440658,0.00058082124,0.000022108417,0.0000013449898,0.0017545902,0.007717697,0.9767822,0.00038207418],"about_ca_topic_score_codex":0.000003423762,"about_ca_topic_score_gemma":4.3614537e-7,"teacher_disagreement_score":0.96866745,"about_ca_system_score_codex":0.0006045889,"about_ca_system_score_gemma":0.0011417327,"threshold_uncertainty_score":0.9998622},"labels":[],"label_agreement":null},{"id":"W2219318606","doi":"10.1016/j.biochi.2015.10.018","title":"Positional proteomics in the era of the human proteome project on the doorstep of precision medicine","year":2015,"lang":"en","type":"review","venue":"Biochimie","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteases; Proteome; Computational biology; Protease; Proteomics; Bioinformatics; Crosstalk; Drug discovery; Biology; Human proteome project; Biomarker discovery; Biochemistry; Gene; Enzyme; Engineering","score_opus":0.0800586627358061,"score_gpt":0.3828734167209551,"score_spread":0.302814753985149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219318606","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004935347,0.940749,0.0004318505,0.0034489783,0.000099739154,0.024603162,0.0012533139,0.000105121006,0.02437351],"genre_scores_gemma":[0.002941372,0.9757778,0.0074535604,0.00019577124,0.00071695534,0.011716527,0.00042851138,0.0001419672,0.00062750175],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804646,0.0001493928,0.000802339,0.00031757235,0.0005150754,0.00016917524],"domain_scores_gemma":[0.9974309,0.00024374704,0.0009605287,0.0012304427,0.00011330212,0.000021075743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008453853,0.00031187164,0.0007071991,0.000060767572,0.0001325585,0.000010762985,0.0014169847,0.0002735553,0.000045218334],"category_scores_gemma":[0.00014267383,0.0001251754,0.00026538983,0.00043575585,0.00032519936,0.000021757087,0.00018752414,0.00093820516,0.0000024670032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026341193,0.0030850503,0.00004554342,0.052514393,0.0005692572,0.000007961115,0.0028233565,0.000021994116,0.056137078,0.2927874,0.030710908,0.5610336],"study_design_scores_gemma":[0.0005782818,0.00029299824,0.000020859969,0.044385627,0.00039025687,0.00005619867,0.0001411153,0.000009822646,0.027485525,0.03162893,0.8944458,0.0005645863],"about_ca_topic_score_codex":0.000047276073,"about_ca_topic_score_gemma":0.000004729821,"teacher_disagreement_score":0.8637349,"about_ca_system_score_codex":0.000117097785,"about_ca_system_score_gemma":0.00027975152,"threshold_uncertainty_score":0.5104505},"labels":[],"label_agreement":null},{"id":"W2223021894","doi":"","title":"Protéomique tissulaire : développements et applications pour la recherche de biomarqueurs du cancer de l’ovaire","year":2012,"lang":"fr","type":"article","venue":"ORBi (University of Liège)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Medicine","score_opus":0.09962119650247256,"score_gpt":0.35086166383168466,"score_spread":0.2512404673292121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223021894","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118432544,0.0021733276,0.8094487,0.050242767,0.00003583237,0.0010321836,0.00033645795,0.00022526548,0.018072894],"genre_scores_gemma":[0.38901427,0.0061980244,0.57987416,0.00017177078,0.00016405481,0.00009881777,0.000042762764,0.00004986526,0.024386259],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987593,0.00020261032,0.00016115047,0.00028751086,0.000114665105,0.0004747151],"domain_scores_gemma":[0.99872136,0.00019052892,0.00026003222,0.00042420367,0.00014285828,0.0002610105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007562304,0.00020856175,0.00022186806,0.000058319583,0.00025663254,0.000015314792,0.00047656856,0.0006071831,0.0007797823],"category_scores_gemma":[0.000019675746,0.00029859174,0.00012271933,0.0003073567,0.00024063722,0.0002898005,0.00021396487,0.0005672163,0.000054619497],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001354631,0.002383021,0.19075598,0.0017728099,0.00047491884,0.000032147986,0.011195319,0.00012578828,0.43588424,0.13225347,0.023096848,0.20188999],"study_design_scores_gemma":[0.0013753001,0.000037997655,0.013592571,0.0008811542,0.00038594156,0.00012629939,0.0033178583,0.0012580046,0.20374992,0.03205409,0.7421988,0.0010220114],"about_ca_topic_score_codex":0.0029416354,"about_ca_topic_score_gemma":0.00015880076,"teacher_disagreement_score":0.719102,"about_ca_system_score_codex":0.0010457932,"about_ca_system_score_gemma":0.0005995992,"threshold_uncertainty_score":0.9999466},"labels":[],"label_agreement":null},{"id":"W2225315140","doi":"10.69645/rcut3673","title":"A concept for multi-marker approaches in clinical proteomics","year":2013,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Computational biology; Proteomics; Computer science; Biology; Genetics","score_opus":0.08926317175909636,"score_gpt":0.35664581851302163,"score_spread":0.26738264675392526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225315140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08691289,0.00028446052,0.8941074,0.008743678,0.00035187937,0.0041337474,0.000057374335,0.00035069193,0.005057879],"genre_scores_gemma":[0.54908484,0.000068016736,0.43533808,0.00096133474,0.00054455805,0.00830126,0.000028008346,0.000031194486,0.0056427093],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809057,0.000047443205,0.0006441258,0.000529311,0.00028667465,0.0004018693],"domain_scores_gemma":[0.99880326,0.00042430064,0.00019257636,0.0002957661,0.00007251712,0.00021157607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094267004,0.0001581881,0.00023518433,0.00008060114,0.00061337947,0.000078433535,0.0006439894,0.00022104714,0.00031745076],"category_scores_gemma":[0.00042106936,0.000109376415,0.00013141597,0.00091410964,0.0016548408,0.00014709868,0.00012526305,0.00038058293,0.00002378844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008232431,0.012618693,0.08820246,0.0007407682,0.00047915246,0.00000825369,0.0048104855,0.0014817535,0.06458981,0.04785346,0.4983117,0.28008023],"study_design_scores_gemma":[0.0039809085,0.00042685392,0.0035030355,0.00010760217,0.00003913279,0.000026645557,0.0021859626,0.78819966,0.0064715846,0.032871656,0.16125019,0.0009367634],"about_ca_topic_score_codex":0.00013946358,"about_ca_topic_score_gemma":0.00004715339,"teacher_disagreement_score":0.7867179,"about_ca_system_score_codex":0.00008202693,"about_ca_system_score_gemma":0.00034008012,"threshold_uncertainty_score":0.609733},"labels":[],"label_agreement":null},{"id":"W2233364338","doi":"10.1016/j.jprot.2015.12.029","title":"Homogenization of tissues via picosecond-infrared laser (PIRL) ablation: Giving a closer view on the in-vivo composition of protein species as compared to mechanical homogenization","year":2016,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Homogenization (climate); Proteome; In vivo; Chemistry; Biochemistry; Biophysics; Enzyme; Proteomics; Biology","score_opus":0.015915427258880708,"score_gpt":0.2618242378457177,"score_spread":0.24590881058683697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233364338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7490196,0.000033611137,0.24877313,0.00078705285,0.000021314483,0.0007661831,0.000046772555,0.000016993536,0.0005353104],"genre_scores_gemma":[0.9407306,0.0000651033,0.058571234,0.000054416498,0.000109359826,0.00009705936,0.000005936669,0.000027438595,0.00033886416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836373,0.00005864847,0.0009438363,0.00016902544,0.00031427687,0.0001504998],"domain_scores_gemma":[0.99801207,0.00011251522,0.0010252908,0.00032027456,0.00046518957,0.00006464841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035789207,0.00016274706,0.00036176728,0.00014002135,0.000069199654,0.000020884267,0.000320723,0.00012391231,0.0004677306],"category_scores_gemma":[0.00014924658,0.00011327094,0.000109200446,0.00031028435,0.00005682189,0.00019916237,0.000064621265,0.0001824342,0.000005078905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002157882,0.00016086252,0.00037572766,0.00007981263,0.00002583622,0.0000015720138,0.00018771758,0.00037262405,0.99143887,0.006096261,0.000059443766,0.0009854854],"study_design_scores_gemma":[0.0005302908,0.00015674123,0.00015159909,0.00081299857,0.000018912437,0.0000124573835,0.00006852275,0.00024310885,0.98304623,0.013943471,0.0008836209,0.0001320703],"about_ca_topic_score_codex":0.0000089363475,"about_ca_topic_score_gemma":0.000008642904,"teacher_disagreement_score":0.19171095,"about_ca_system_score_codex":0.00016345337,"about_ca_system_score_gemma":0.000072861956,"threshold_uncertainty_score":0.5121322},"labels":[],"label_agreement":null},{"id":"W2234991979","doi":"10.1021/acs.jproteome.5b00499","title":"Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; Seventh Framework Programme; Knut och Alice Wallenbergs Stiftelse; Kommission für Technologie und Innovation","keywords":"Proteome; Human proteome project; Identification (biology); Proteomics; Computational biology; Human proteins; Human Protein Atlas; Biology; Annotation; Data science; Bioinformatics; Protein expression; Computer science; Genetics; Gene","score_opus":0.330962740838762,"score_gpt":0.5190132405580241,"score_spread":0.18805049971926213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234991979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6801009,0.0029028784,0.1574533,0.08608159,0.00013717575,0.07242166,0.0003257229,0.0002393773,0.00033739538],"genre_scores_gemma":[0.79665804,0.00014276696,0.12771797,0.00008263281,0.0020772014,0.06739723,0.000033139953,0.0001796426,0.0057113697],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99569696,0.00018361918,0.0013369232,0.0005352853,0.0015515451,0.00069568993],"domain_scores_gemma":[0.99048525,0.00060451234,0.0012092144,0.0009747629,0.0065227207,0.0002035325],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011616179,0.00032519267,0.00043664433,0.00046241513,0.0014407258,0.000522734,0.0015932836,0.00024226122,0.000019873733],"category_scores_gemma":[0.0048787273,0.0001877526,0.00018759526,0.0008578885,0.00061118504,0.0003729827,0.00025965384,0.0012429076,0.0000042735064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004336136,0.00033963975,0.00008898043,0.00074140605,0.00012953272,0.0000042320153,0.00033512514,0.00001764171,0.9339127,0.047660816,0.0122715635,0.0040647388],"study_design_scores_gemma":[0.0014369154,0.0011895333,0.00006583813,0.0006389738,0.000050010207,0.00004159223,0.0007006098,0.0005153344,0.82008344,0.15573022,0.019220686,0.00032682036],"about_ca_topic_score_codex":0.00007912905,"about_ca_topic_score_gemma":0.000007664684,"teacher_disagreement_score":0.116557136,"about_ca_system_score_codex":0.00032974075,"about_ca_system_score_gemma":0.00053384894,"threshold_uncertainty_score":0.9998593},"labels":[],"label_agreement":null},{"id":"W2239472375","doi":"","title":"Remotely Activated Protein-Producing Nanoparticles","year":2012,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Computer science; Chemistry","score_opus":0.01770945183263041,"score_gpt":0.26745504678132326,"score_spread":0.24974559494869286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239472375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98628026,0.0005760535,0.0037637863,0.0030920361,0.0000911033,0.0004903373,0.00005017457,0.0014240568,0.0042322073],"genre_scores_gemma":[0.8483747,0.00003842402,0.15051414,0.000029830568,0.0000962186,0.00023485337,0.000017465702,0.000049612718,0.00064470497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809045,0.000008573092,0.00047750227,0.0004922602,0.00024146425,0.00068974256],"domain_scores_gemma":[0.9980216,0.000014572299,0.00040074412,0.0012916072,0.00013609749,0.00013535892],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014452897,0.00033021375,0.00039468126,0.0002788398,0.00023704933,0.000018434532,0.00064257183,0.0004987269,0.00010569516],"category_scores_gemma":[0.00030716058,0.00032950548,0.00011112441,0.0007903879,0.00048488536,0.00052384794,0.00029386513,0.00057933264,0.00003865021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023599428,0.00020083909,0.0026944848,0.000091432004,0.000057092115,0.0000031515758,0.000093053,0.000014737902,0.96510684,0.01535494,0.00023919591,0.016120601],"study_design_scores_gemma":[0.0002842007,0.000023553337,0.00009746735,0.00014655957,0.000030115656,0.000019097639,0.000056237845,0.000020255753,0.86985296,0.003467097,0.12569141,0.000311046],"about_ca_topic_score_codex":0.000030714586,"about_ca_topic_score_gemma":0.000006681541,"teacher_disagreement_score":0.14675035,"about_ca_system_score_codex":0.00014993975,"about_ca_system_score_gemma":0.00006549706,"threshold_uncertainty_score":0.9999157},"labels":[],"label_agreement":null},{"id":"W2243224310","doi":"","title":"Une méthode d’identification des produits de clivage des protéases dans des échantillons complexes","year":2010,"lang":"fr","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Identification (biology); Biology","score_opus":0.03186228435356013,"score_gpt":0.2760244483867214,"score_spread":0.24416216403316127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243224310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94511616,0.0010626,0.04484483,0.0002840779,0.000054502536,0.000818875,0.00019708871,0.000091789465,0.007530058],"genre_scores_gemma":[0.78016925,0.0045744097,0.21022399,0.0000067720466,0.00005106281,0.000015983002,0.000027350845,0.000020465808,0.004910727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985618,0.00010035667,0.00027443358,0.0005528797,0.00014855001,0.00036199827],"domain_scores_gemma":[0.9983501,0.000092338334,0.00039577772,0.00061789935,0.00031810533,0.00022576647],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0004239812,0.00024347354,0.00030112726,0.0012330582,0.0020047438,0.0002857412,0.0008528083,0.0002631857,0.00007093559],"category_scores_gemma":[0.0000024263566,0.00030476236,0.00018428576,0.005083255,0.0033703041,0.0011233275,0.00044425266,0.0003690223,0.0000023895932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006646148,0.00035933443,0.33424315,0.0005349135,0.00008139715,0.000020238393,0.0013564843,0.0000032571152,0.65804964,0.0030819206,0.00062247494,0.0015807317],"study_design_scores_gemma":[0.0004330199,0.000115588206,0.27349037,0.0005435001,0.000274921,0.00019665838,0.003155639,0.000112167494,0.69040674,0.02919546,0.0016466676,0.00042928595],"about_ca_topic_score_codex":0.013977935,"about_ca_topic_score_gemma":0.0008378002,"teacher_disagreement_score":0.16537917,"about_ca_system_score_codex":0.000027246344,"about_ca_system_score_gemma":0.00006426828,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W2248095606","doi":"10.1007/978-1-4939-3341-9_13","title":"Simple and Effective Affinity Purification Procedures for Mass Spectrometry-Based Identification of Protein-Protein Interactions in Cell Signaling Pathways","year":2015,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mass spectrometry; Intracellular; Chemistry; Protein–protein interaction; Identification (biology); Computational biology; Proteomics; Signal transduction; Cell function; Function (biology); Protein purification; Cell; Biochemistry; Chromatography; Cell biology; Biology","score_opus":0.029613977701967862,"score_gpt":0.38310499887378036,"score_spread":0.35349102117181247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248095606","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32601133,0.000078314726,0.6728012,0.000038174545,0.0000058921178,0.0009283749,0.000028404615,0.00002484453,0.00008349522],"genre_scores_gemma":[0.4852971,0.0000012174783,0.5127192,0.0000059193603,0.000006780431,0.0019147446,0.00003862661,0.000010472728,0.000005921266],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988087,0.00021273698,0.00040653438,0.00036035292,0.00004612668,0.0001655402],"domain_scores_gemma":[0.99908704,0.00020063015,0.00029126846,0.00026850056,0.000113797185,0.00003874689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009703972,0.00012664497,0.00021722695,0.0001844942,0.000031581192,0.000010391083,0.00014131486,0.0001242349,0.0000055721475],"category_scores_gemma":[0.00093417655,0.00013523844,0.00004549195,0.0002669361,0.00007213389,0.00003644469,0.000030538362,0.00019397028,3.6359557e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006532339,0.00009912248,0.00038642,0.000159734,0.0000045281845,4.7017645e-7,0.0000526489,0.00024629416,0.9926037,0.004817472,4.1539562e-7,0.0015638501],"study_design_scores_gemma":[0.00039111884,0.000052462445,0.000047427566,0.000029136176,0.000006299382,6.1722835e-7,0.00006766948,0.0015819467,0.8189111,0.17876455,0.0000442498,0.0001034322],"about_ca_topic_score_codex":0.000030077124,"about_ca_topic_score_gemma":0.0000075942194,"teacher_disagreement_score":0.17394708,"about_ca_system_score_codex":0.00010736762,"about_ca_system_score_gemma":0.000066784465,"threshold_uncertainty_score":0.5514864},"labels":[],"label_agreement":null},{"id":"W2262864248","doi":"10.1002/pmic.201500366","title":"Preventing <i>N</i>‐ and <i>O</i>‐formylation of proteins when incubated in concentrated formic acid","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Formylation; Formic acid; Chemistry; Threonine; Lysine; Serine; Biochemistry; Amino acid; Phosphorylation; Catalysis","score_opus":0.010018449192213688,"score_gpt":0.24036475283733857,"score_spread":0.23034630364512487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262864248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.927439,0.000075999764,0.070173614,0.00019858968,0.0000056408953,0.0009230334,0.000042386288,0.00009624106,0.0010454982],"genre_scores_gemma":[0.89552873,0.00012476083,0.10365575,0.000014167897,0.000019018169,0.00048096196,0.000013890615,0.0000217164,0.00014098916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990557,0.000010548161,0.00039676012,0.00023263603,0.00008794856,0.0002164295],"domain_scores_gemma":[0.9993796,0.000026674079,0.00026164894,0.00022368113,0.00006334373,0.00004508904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015178621,0.00013006348,0.000176965,0.000045511817,0.000046192465,0.000011259511,0.00013349406,0.00012244588,0.00005309458],"category_scores_gemma":[0.000062640735,0.00010438895,0.000029301798,0.000103995575,0.00007899324,0.0002200748,0.000079853664,0.000121550285,0.000001996792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004350801,0.00003615904,0.0077216816,0.000084140476,0.000005640461,3.9771575e-7,0.00010281373,0.0000021332824,0.98019004,0.0017454745,0.000004959859,0.01006308],"study_design_scores_gemma":[0.00072618056,0.000020439444,0.00013747903,0.0002273972,0.000004904866,0.000004032588,0.000018605737,0.00038039027,0.97134674,0.02664674,0.00034591046,0.00014118513],"about_ca_topic_score_codex":0.00003209739,"about_ca_topic_score_gemma":0.0000154417,"teacher_disagreement_score":0.033482134,"about_ca_system_score_codex":0.00007378199,"about_ca_system_score_gemma":0.00004501509,"threshold_uncertainty_score":0.42568576},"labels":[],"label_agreement":null},{"id":"W2264357120","doi":"10.1158/1557-3125.myc15-a12","title":"Abstract A12: Identifying MYC post-translational modifications using a mass spectrometry-based approach","year":2015,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Phosphorylation; SUMO protein; Acetylation; Threonine; Ubiquitin; Serine; Mutant; Immunoprecipitation; HEK 293 cells; Biology; Carcinogenesis; Chemistry; Cell biology; Proteasome; Cancer research; Biochemistry; Gene","score_opus":0.16799921847020974,"score_gpt":0.4334811883265067,"score_spread":0.2654819698562969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264357120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17111647,0.00069969974,0.815179,0.0007184059,0.000014077924,0.00037955662,0.00014896193,0.00013087345,0.011612974],"genre_scores_gemma":[0.7368114,0.000015002661,0.26224205,0.000035694593,0.00007338238,0.00052453275,0.00012347595,0.00004598808,0.0001285023],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99782753,0.000037607697,0.00026625596,0.000495069,0.00088701025,0.00048651098],"domain_scores_gemma":[0.99844193,0.00004851447,0.00007884926,0.00059882534,0.00060841907,0.00022347228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051915203,0.00015792814,0.00014947262,0.00025368168,0.0002748662,0.0001298628,0.00046020735,0.00013584203,0.0002684044],"category_scores_gemma":[0.00007145263,0.00017582478,0.00009871684,0.0007102965,0.00014897331,0.00012071171,0.000058482405,0.0006391847,0.00002052938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003271515,0.00009195685,0.00017577254,0.00007976013,0.000023208027,0.000007821856,0.00006293895,0.013025403,0.98208237,0.0039803777,0.00006489231,0.0003727874],"study_design_scores_gemma":[0.00053640525,0.000012521419,0.00008769651,0.00006449799,0.000017348024,0.0000057174766,0.00021252235,0.03062146,0.9528436,0.013919855,0.0013756569,0.00030270164],"about_ca_topic_score_codex":0.00057017023,"about_ca_topic_score_gemma":0.000008425486,"teacher_disagreement_score":0.5656949,"about_ca_system_score_codex":0.00043503405,"about_ca_system_score_gemma":0.00064995454,"threshold_uncertainty_score":0.7169926},"labels":[],"label_agreement":null},{"id":"W2264756960","doi":"10.1021/acs.analchem.5b04567","title":"3D HPLC-MS with Reversed-Phase Separation Functionality in All Three Dimensions for Large-Scale Bottom-Up Proteomics and Peptide Retention Data Collection","year":2016,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Formic acid; Peptide; Orthogonality; Mass spectrometry; Analytical Chemistry (journal); Biochemistry","score_opus":0.04575563296339913,"score_gpt":0.3401440297090933,"score_spread":0.29438839674569417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264756960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6326133,0.000017916758,0.36394346,0.00088618614,0.000011014346,0.0004936567,0.00049935636,0.00011145572,0.0014236565],"genre_scores_gemma":[0.83739775,0.00013078125,0.14773205,0.00012889452,0.0002581084,0.000970825,0.002163688,0.00006584551,0.011152059],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858844,0.000007379293,0.0003347617,0.00063457096,0.00016573878,0.00026908255],"domain_scores_gemma":[0.9988396,0.00010633079,0.00014248063,0.000674697,0.000119558914,0.000117317664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002567633,0.00017986735,0.00020609854,0.000022416996,0.00016421793,0.000030049083,0.00016526511,0.00020753914,0.00017077805],"category_scores_gemma":[0.00012911035,0.00014290425,0.000045666424,0.00015054896,0.000091861904,0.00022862828,0.0001144023,0.00020759324,0.000003005785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011903452,0.00059962284,0.009567584,0.00032657784,0.00010563707,0.0000038440935,0.00003381743,0.000017518776,0.9799333,0.0017914195,0.005508464,0.0009218685],"study_design_scores_gemma":[0.011200672,0.00019699991,0.00080848206,0.00052424107,0.0004934995,0.00008071689,0.00015366045,0.20384803,0.70964193,0.02690046,0.044900026,0.0012512485],"about_ca_topic_score_codex":0.000024838188,"about_ca_topic_score_gemma":0.00008507772,"teacher_disagreement_score":0.27029136,"about_ca_system_score_codex":0.00016366482,"about_ca_system_score_gemma":0.00007670441,"threshold_uncertainty_score":0.58274657},"labels":[],"label_agreement":null},{"id":"W2265324137","doi":"10.1586/14789450.2015.1062370","title":"Synopsis of the 4th Biannual Proteomic Forum: PhD student’s insight","year":2015,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Russian Academy of Sciences; Genome British Columbia","keywords":"Computational biology; Biology","score_opus":0.03015259510095817,"score_gpt":0.33772883647541263,"score_spread":0.30757624137445444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265324137","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54029024,0.22253789,0.10448033,0.021021044,0.0008137883,0.02800232,0.0007858485,0.0008995939,0.08116896],"genre_scores_gemma":[0.16792051,0.057490934,0.76068145,0.0025302316,0.00049949373,0.007583576,0.00007145054,0.00021669151,0.0030056653],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810547,0.00004864952,0.0008374972,0.00033210585,0.00042040923,0.0002558936],"domain_scores_gemma":[0.9976011,0.000028368308,0.000751103,0.0011737203,0.00033441748,0.00011129441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368134,0.00025925937,0.0005705786,0.00003475639,0.00007559198,0.000011389517,0.0009963099,0.00013544009,0.000092752634],"category_scores_gemma":[0.00025587872,0.0001817151,0.00026776912,0.00029856546,0.00018704867,0.00012651847,0.00040100876,0.00027916458,0.000008932703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008567002,0.0006570007,0.002203153,0.0061046868,0.00013089259,0.0000018594803,0.0012735267,0.000014699454,0.947809,0.0099441,0.025436264,0.0063391686],"study_design_scores_gemma":[0.00039395184,0.000059640104,0.000018638128,0.004551141,0.000033713735,0.000012454129,0.00017035435,0.000028257207,0.9188653,0.0016296542,0.07397707,0.000259782],"about_ca_topic_score_codex":0.00006001242,"about_ca_topic_score_gemma":0.0000040284367,"teacher_disagreement_score":0.6562011,"about_ca_system_score_codex":0.00013887095,"about_ca_system_score_gemma":0.00022064734,"threshold_uncertainty_score":0.7410127},"labels":[],"label_agreement":null},{"id":"W2266315862","doi":"10.1007/978-1-59745-188-8_17","title":"Quantitative Protein Profiling by Mass Spectrometry Using Label-Free Proteomics","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Proteomics; Profiling (computer programming); Mass spectrometry; Quantitative proteomics; Computational biology; Chemistry; Chromatography; Computer science; Biology; Biochemistry","score_opus":0.046995703619074757,"score_gpt":0.41572991430049216,"score_spread":0.36873421068141743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266315862","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19937861,0.00036398013,0.7985165,0.00009100223,0.000012794148,0.0005273798,0.00004586274,0.000096162046,0.0009676758],"genre_scores_gemma":[0.0024987953,0.000041073727,0.9966185,0.00006778843,0.000021855958,0.00054719485,0.000038579143,0.000049300757,0.000116894254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983528,0.00023265969,0.00039835158,0.0005320407,0.00007715474,0.00040696922],"domain_scores_gemma":[0.9989585,0.000092284456,0.00020144867,0.00063028064,0.000059880334,0.00005759882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048520177,0.00023086382,0.00034028725,0.00011795785,0.00011376763,0.000008412754,0.0004712888,0.000305738,0.000039295046],"category_scores_gemma":[0.00050310255,0.00023985944,0.00006896838,0.00038948434,0.00023323235,0.0000395727,0.0001774574,0.00050888234,0.0000021897515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030858373,0.000059604477,0.0004280315,0.000028999975,0.000017339991,0.000014277792,0.000020251517,0.000020812293,0.9755183,0.023546876,0.0000047975705,0.00030987104],"study_design_scores_gemma":[0.00035359745,0.000059299324,7.9559607e-7,0.0000217385,0.0000061261626,0.00002198117,0.000026741944,0.0023819155,0.88484883,0.11181853,0.0002191199,0.00024134948],"about_ca_topic_score_codex":0.000037138147,"about_ca_topic_score_gemma":6.919032e-7,"teacher_disagreement_score":0.19810198,"about_ca_system_score_codex":0.00014985072,"about_ca_system_score_gemma":0.00006564922,"threshold_uncertainty_score":0.97811836},"labels":[],"label_agreement":null},{"id":"W2269102739","doi":"10.1373/clinchem.2015.247858","title":"Proteogenomics: Opportunities and Caveats","year":2016,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"Prostate Cancer Canada","keywords":"Proteogenomics; Computational biology; Biology; Proteome; Proteomics; Ensembl; Genomics; Pseudogene; Genome; Identification (biology); Druggability; Human proteome project; Exome; Exome sequencing; DNA sequencing; Genetics; Gene; Phenotype","score_opus":0.08803035209775073,"score_gpt":0.35269744245394313,"score_spread":0.2646670903561924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269102739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603819,0.00015275228,0.0016020706,0.0021756545,0.000013528919,0.00009439143,0.000076740434,0.0002324044,0.035270553],"genre_scores_gemma":[0.9627704,0.0028745974,0.009493321,0.00018808625,0.000467223,0.00023475938,0.000016608616,0.00004034494,0.023914684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990763,0.000004585378,0.00036044433,0.00032322854,0.000062111176,0.00017332827],"domain_scores_gemma":[0.9990968,0.00016803338,0.000119211414,0.0004043872,0.00004023384,0.00017133937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009792022,0.00012386685,0.00017094871,0.0000044824747,0.00006447403,0.000014852204,0.00017455082,0.00019472759,0.0006456118],"category_scores_gemma":[0.00013616616,0.00009132595,0.00006894685,0.00001692373,0.00029529046,0.000047169524,0.00012509912,0.0001492183,0.0000118811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064058644,0.00014969295,0.026911533,0.00021463001,0.000046150522,0.000017858922,0.000013497672,8.8802196e-8,0.77355725,0.0029652088,0.0020062444,0.19405377],"study_design_scores_gemma":[0.00043063567,0.000009257034,0.00005825245,0.00008059119,0.000013173811,0.000020896165,0.000034202185,0.000007972825,0.81747127,0.009539034,0.17210303,0.00023167618],"about_ca_topic_score_codex":8.87633e-7,"about_ca_topic_score_gemma":1.3372257e-7,"teacher_disagreement_score":0.19382209,"about_ca_system_score_codex":0.000026353595,"about_ca_system_score_gemma":0.00004237295,"threshold_uncertainty_score":0.70689964},"labels":[],"label_agreement":null},{"id":"W2271889926","doi":"10.1038/ncomms9648","title":"Discovery of protein acetylation patterns by deconvolution of peptide isomer mass spectra","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Acetylation; Histone; Peptide; Proteomics; Chemistry; Computational biology; Chromatin; Mass spectrometry; Epigenetics; Tandem mass spectrometry; Posttranslational modification; Peptide mass fingerprinting; Biochemistry; Biology; Chromatography; Enzyme","score_opus":0.01783828900326293,"score_gpt":0.2987924488820215,"score_spread":0.28095415987875855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271889926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74312294,0.0066732066,0.2181389,0.0033919783,0.000039255523,0.0010340854,0.0013322526,0.00024930984,0.026018046],"genre_scores_gemma":[0.92026395,0.0002801545,0.07818369,0.000018765182,0.000018780614,0.00017085276,0.00045278168,0.000017778588,0.000593239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922496,0.00002582352,0.00033693016,0.00014670622,0.00015585237,0.00010972893],"domain_scores_gemma":[0.99787515,0.000059937654,0.00034312546,0.0014708474,0.00020978432,0.000041177245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012430733,0.00010646328,0.00015753729,0.000044422868,0.000063310596,0.000010972225,0.0006861752,0.00023026743,0.000017787135],"category_scores_gemma":[0.00008460844,0.00011020314,0.00006743806,0.00016858915,0.00011502078,0.00021950742,0.00014541928,0.0005018243,0.0000026593168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001665527,0.000181872,0.0057987473,0.000046874018,0.000022934786,4.1023544e-8,0.00010450564,0.00001586008,0.95702547,0.035038944,0.0012451115,0.00050298416],"study_design_scores_gemma":[0.00030262236,0.000021494998,0.00035842313,0.00009283352,0.000024686871,0.0000013115982,0.00021820102,0.00053709996,0.97424024,0.010930374,0.013113297,0.00015938656],"about_ca_topic_score_codex":0.000059285037,"about_ca_topic_score_gemma":0.000055463628,"teacher_disagreement_score":0.177141,"about_ca_system_score_codex":0.0000949382,"about_ca_system_score_gemma":0.00006004863,"threshold_uncertainty_score":0.44939536},"labels":[],"label_agreement":null},{"id":"W2272694003","doi":"10.1385/1-59745-214-9:365","title":"A Rapid, Economical, and Reproducible Method for Human Serum Delipidation and Albumin and IgG Removal for Proteomic Analysis","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute; Johns Hopkins University","keywords":"Chemistry; Chromatography; Albumin; Bovine serum albumin; Centrifugation; Proteome; Blood proteins; Human serum albumin; Serum albumin; Antibody; Proteomics; Biochemistry; Biology; Immunology","score_opus":0.042556015376311825,"score_gpt":0.32603820750438145,"score_spread":0.28348219212806963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272694003","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73813957,0.0010551031,0.2541356,0.0001230914,0.000008308414,0.002160717,0.00023716457,0.00017922219,0.003961215],"genre_scores_gemma":[0.29200542,0.00012724024,0.69757175,0.000058640668,0.00033231586,0.0038413596,0.0002287532,0.00007004211,0.005764471],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873316,0.000012747777,0.00032162818,0.0006944197,0.000040036386,0.00019802815],"domain_scores_gemma":[0.9991852,0.00006997164,0.00018952673,0.00044947577,0.000053606895,0.000052203122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932628,0.00016738138,0.00027996252,0.00007491871,0.00032871615,0.000097387965,0.000092178096,0.0001106312,0.000008463166],"category_scores_gemma":[0.000018310637,0.00017836315,0.000071678616,0.000016763883,0.000085920794,0.00006653763,0.000080003636,0.00008004586,6.887814e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019550814,0.00008094001,0.0001755815,0.00085414835,0.00041018907,7.915206e-7,0.00024677167,0.00011108281,0.70993906,0.14776173,0.0009341593,0.13929],"study_design_scores_gemma":[0.0011190925,0.0000552582,0.0001189962,0.000023874049,0.00054499455,0.00000999783,0.000025274225,0.01226164,0.85078657,0.07530084,0.059374705,0.00037878306],"about_ca_topic_score_codex":0.0002687264,"about_ca_topic_score_gemma":0.00008330795,"teacher_disagreement_score":0.44613415,"about_ca_system_score_codex":0.00002508374,"about_ca_system_score_gemma":0.000008670371,"threshold_uncertainty_score":0.7273438},"labels":[],"label_agreement":null},{"id":"W2286981208","doi":"10.1021/acs.analchem.5b04148","title":"Peptide-Centric Approaches Provide an Alternative Perspective To Re-Examine Quantitative Proteomic Data","year":2016,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Genomics Institute; Genome Canada","keywords":"Proteomics; Quantitative proteomics; Chemistry; Peptide; Inference; Computational biology; Quantitative analysis (chemistry); Computer science; Artificial intelligence; Chromatography; Biochemistry; Biology","score_opus":0.10167552006853951,"score_gpt":0.352242133285573,"score_spread":0.2505666132170335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286981208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7733014,0.00008139552,0.13244425,0.0062384894,0.000016819367,0.0011470044,0.0011998467,0.00058825867,0.084982514],"genre_scores_gemma":[0.9355835,0.000028694185,0.055649057,0.000100700556,0.00032664256,0.00044281356,0.00019004202,0.00006935672,0.007609196],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975554,0.000018294837,0.00039375972,0.001247934,0.0003090505,0.0004755729],"domain_scores_gemma":[0.99735785,0.00017724623,0.00017289224,0.0016972244,0.00020758511,0.00038722073],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020306824,0.00032583025,0.00033218198,0.00004050448,0.00012591304,0.000057784895,0.0012269638,0.00016707307,0.0007196859],"category_scores_gemma":[0.00079659256,0.0002503978,0.000079350255,0.00028916646,0.00022879233,0.0003609215,0.00055857905,0.00030454266,0.00008287583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038406058,0.00091258663,0.0015103471,0.00018771352,0.0002665568,0.000034900433,0.00045412415,0.00004647633,0.9570515,0.031808876,0.0026445664,0.0046982486],"study_design_scores_gemma":[0.00064923125,0.000077056,0.000045692632,0.00013742503,0.00009031026,0.000014450342,0.0012124641,0.0070367795,0.97115004,0.013933841,0.0049888585,0.00066384836],"about_ca_topic_score_codex":0.00007002419,"about_ca_topic_score_gemma":0.000008551181,"teacher_disagreement_score":0.16228208,"about_ca_system_score_codex":0.00043865107,"about_ca_system_score_gemma":0.0001231778,"threshold_uncertainty_score":0.9999948},"labels":[],"label_agreement":null},{"id":"W2290509472","doi":"10.1096/fasebj.22.1_supplement.1162.3","title":"Proteomic validation: Searching for a heart of gold","year":2008,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Diabetes Canada; University of British Columbia","funders":"","keywords":"VDAC1; Isobaric labeling; Proteome; Proteomics; Chemistry; Tandem mass tag; Quantitative proteomics; Computational biology; Biochemistry; Biology","score_opus":0.034825945536105,"score_gpt":0.30606356792909867,"score_spread":0.27123762239299365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290509472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90783066,0.000027658723,0.08994475,0.0007806673,0.000009724547,0.0002061657,0.00001984013,0.000027038752,0.0011534976],"genre_scores_gemma":[0.9272069,0.000047475787,0.07157083,0.000039307062,0.00019292973,0.00008727601,0.0000040604014,0.0000125853585,0.00083869236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995034,0.000010443369,0.00018561435,0.00006909517,0.00010609424,0.0001253907],"domain_scores_gemma":[0.9995253,0.0000518878,0.00013013223,0.00018073668,0.00007115037,0.000040780043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020981944,0.000057644633,0.00008811588,0.000019341625,0.0002641984,0.000012483251,0.00019723707,0.000029441506,0.000079832134],"category_scores_gemma":[0.000032942728,0.000041060834,0.000086138,0.00004867318,0.00006546116,0.000057232985,0.000026955971,0.00022543964,0.000003019557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024930625,0.000019530758,0.00034152705,0.000014375829,0.000009103193,5.762293e-7,0.00011126778,0.00014412084,0.99741924,0.00073756475,0.0007021803,0.0004755744],"study_design_scores_gemma":[0.00020236826,0.00001898893,0.000041054926,0.00002684032,0.000006905647,0.00034641303,0.000028705617,0.00029365197,0.98825604,0.00871634,0.0020123122,0.00005037775],"about_ca_topic_score_codex":0.0000037776929,"about_ca_topic_score_gemma":9.1849174e-8,"teacher_disagreement_score":0.01937619,"about_ca_system_score_codex":0.000027928538,"about_ca_system_score_gemma":0.00005784211,"threshold_uncertainty_score":0.20320272},"labels":[],"label_agreement":null},{"id":"W2291697536","doi":"10.1007/978-1-0716-4502-4","title":"Activity-Based Proteomics","year":2025,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Oncode Institute; Universiteit Antwerpen; University of Hong Kong; King Saud University; Universiteit Leiden; Durham University; University of Oxford; University of Ottawa; Helsinki Institute of Life Science, Helsingin Yliopisto; Alfaisal University; Jordan University of Science and Technology; King Faisal Specialist Hospital and Research Centre; Texas Woman's University; Chinese Academy of Medical Sciences; Helsingin Yliopisto; Universitetet i Tromsø; Stony Brook University; University of Minnesota; College of Medicine, King Saud University; University of Jordan; Boston College; Massachusetts General Hospital","keywords":"Lung cancer; Disease; Proteomics; Medicine; Stage (stratigraphy); Oncology; Clinical significance; Cancer; Internal medicine; Biology","score_opus":0.020488432639461682,"score_gpt":0.40660634681690483,"score_spread":0.3861179141774431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291697536","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012674817,0.00019494513,0.7379167,0.00013984516,0.000033256518,0.00037114762,0.000077604316,0.00011303538,0.2611408],"genre_scores_gemma":[0.0000028253535,0.000046817695,0.84653974,0.00027035858,0.000042179858,0.00093100825,0.00019625323,0.000048960268,0.15192187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984468,0.00016359308,0.00033991024,0.0006846556,0.000054497006,0.0003104931],"domain_scores_gemma":[0.99848205,0.0002663433,0.00024758684,0.0009093534,0.000051095867,0.000043596425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040388986,0.0003548963,0.00056017394,0.00019734945,0.00004395071,0.000010844421,0.0005229357,0.0012367342,0.00013703802],"category_scores_gemma":[0.00018046173,0.00038544703,0.00019682833,0.000117014955,0.00016201922,0.000009252902,0.0002073601,0.0011039891,0.0000044258627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023290959,0.000038849073,0.000008966519,0.00018994873,0.00002620148,0.000009817176,0.0000023991222,0.000034716486,0.9293724,0.043822225,0.00021451089,0.026256695],"study_design_scores_gemma":[0.00015132569,0.0000110422825,1.1071262e-7,0.0000977245,0.00001952544,0.0000012467844,3.631611e-7,0.00019399272,0.6286679,0.20013306,0.1704768,0.0002469268],"about_ca_topic_score_codex":0.000010167746,"about_ca_topic_score_gemma":0.0000025300858,"teacher_disagreement_score":0.30070448,"about_ca_system_score_codex":0.00032703282,"about_ca_system_score_gemma":0.00052120915,"threshold_uncertainty_score":0.99985975},"labels":[],"label_agreement":null},{"id":"W2297777977","doi":"10.5281/zenodo.11763","title":"seqware ls1.1.0-alpha.3","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ontario Institute for Cancer Research","funders":"","keywords":"Alpha (finance); Computer science; Mathematics; Statistics","score_opus":0.023191687480063533,"score_gpt":0.25561936955917614,"score_spread":0.2324276820791126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297777977","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024449915,0.00004494374,0.16938071,0.0011899929,0.000032073942,0.0003178704,0.00025592142,0.0037471198,0.80058146],"genre_scores_gemma":[0.98367846,0.00007162464,0.008632776,0.00021677732,0.00027355025,2.4114743e-7,0.0017873055,0.0016889748,0.0036502848],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989964,0.0000445252,0.00017774143,0.0003330136,0.00018212291,0.0002662237],"domain_scores_gemma":[0.9989678,0.0000173417,0.00008279983,0.0005574126,0.00024403918,0.00013058423],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023370572,0.00011503569,0.00010370749,0.00006338653,0.0014347207,0.00026713547,0.000773997,0.000070394824,0.016706953],"category_scores_gemma":[0.00024434063,0.00012543233,0.000044376462,0.00021410901,0.00009557455,0.00012050024,0.0006069847,0.00024219368,0.0040896563],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049824157,0.0002252208,0.000012014687,0.00017934838,0.00003921627,0.000004667391,0.00048363223,0.00008050042,0.22604343,0.09504725,0.19479348,0.4830414],"study_design_scores_gemma":[0.00020005021,0.00003490842,0.000021031283,0.000018498818,0.0000057551883,0.00003562416,0.000055153825,0.000526853,0.0258074,0.0028519274,0.970295,0.0001478112],"about_ca_topic_score_codex":0.000004808801,"about_ca_topic_score_gemma":6.778984e-8,"teacher_disagreement_score":0.9592286,"about_ca_system_score_codex":0.000085986394,"about_ca_system_score_gemma":0.0000013794912,"threshold_uncertainty_score":0.9998653},"labels":[],"label_agreement":null},{"id":"W2299305480","doi":"10.1096/fasebj.24.1_supplement.523.1","title":"Decoding proline‐rich sequence recognition by epitope‐based proteomics","year":2010,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada); Mount Sinai Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Stable isotope labeling by amino acids in cell culture; Epitope; Spliceosome; Context (archaeology); Chemistry; Computational biology; Proteomics; Cell biology; Biochemistry; Biology; RNA splicing; RNA; Genetics; Antibody; Gene","score_opus":0.029827220273592064,"score_gpt":0.2925653480336286,"score_spread":0.2627381277600365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299305480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8962458,0.000027458827,0.09957497,0.001230975,0.00005319079,0.00023422309,0.00007452537,0.00010777313,0.0024510901],"genre_scores_gemma":[0.8196832,0.000075143646,0.1791636,0.00022718411,0.0003869329,0.00015851768,0.00003864671,0.000027884435,0.00023891353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916685,0.000016426875,0.00026341368,0.00015821762,0.00015240317,0.00024271806],"domain_scores_gemma":[0.999157,0.00006281393,0.0002588871,0.00029936503,0.000120813784,0.00010109929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521829,0.00013152747,0.00010312814,0.000026284539,0.00046758764,0.00010107575,0.00039013452,0.00010832493,0.0004805002],"category_scores_gemma":[0.00009294613,0.000096982105,0.00006468921,0.00009852979,0.00008584119,0.00012973118,0.00003455017,0.001133561,0.000030714302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018399855,0.000031941774,0.00021975132,0.000008323756,0.000005787,0.00000189325,0.000022939315,0.000014609789,0.9877026,0.00011663325,0.000352297,0.011504793],"study_design_scores_gemma":[0.00022369665,0.00001047578,0.0000018970165,0.000031854644,0.000013753289,0.0002024462,0.000024068924,0.0023535332,0.98077893,0.01401555,0.0021996845,0.0001441167],"about_ca_topic_score_codex":0.00000587716,"about_ca_topic_score_gemma":0.000004063072,"teacher_disagreement_score":0.079588644,"about_ca_system_score_codex":0.000053247975,"about_ca_system_score_gemma":0.000087320266,"threshold_uncertainty_score":0.526114},"labels":[],"label_agreement":null},{"id":"W2312431474","doi":"10.1016/j.cjca.2012.07.346","title":"368 Cell Surface Proteomics in Primary Cardiomyocytes Reveals Ventricle-Specific Cardiomyocyte Maturation Markers","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Proteomics; Cell biology; Cell; Computational biology; Proteome; Medicine; Biology; Bioinformatics; Biochemistry; Gene","score_opus":0.011891624687269037,"score_gpt":0.2226663537242038,"score_spread":0.21077472903693475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312431474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9187084,0.007408901,0.03314131,0.0003165246,0.0004237543,0.00043004498,0.00010496814,0.00002993624,0.039436165],"genre_scores_gemma":[0.9764976,0.0005459898,0.021654291,0.00005009717,0.0010106303,0.000027648632,0.0000261312,0.000036493813,0.00015110054],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983991,0.000092265174,0.0005837241,0.00018663403,0.0001347486,0.000603547],"domain_scores_gemma":[0.99857104,0.000080980375,0.00034827797,0.00036412018,0.00016456917,0.00047100056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006598163,0.00019997105,0.0005711335,0.00019564712,0.00010304663,0.00002956164,0.0003260434,0.00026535435,0.000035192443],"category_scores_gemma":[0.000044073982,0.00020890331,0.0002493551,0.00023529817,0.000111830166,0.00023917541,0.0000269554,0.0005523617,0.000011159366],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005255752,0.000023448732,0.3000049,0.00029893694,0.00030272733,0.00029145597,0.0005627626,0.024586685,0.63170755,0.0012676042,0.03257732,0.007851047],"study_design_scores_gemma":[0.0020995457,0.00010458266,0.054393575,0.00018690676,0.00014743369,0.0017214807,0.0005079125,0.00003419417,0.15289474,0.002239841,0.78460604,0.0010637682],"about_ca_topic_score_codex":0.00014880355,"about_ca_topic_score_gemma":0.000021702232,"teacher_disagreement_score":0.7520287,"about_ca_system_score_codex":0.0009312769,"about_ca_system_score_gemma":0.00043809522,"threshold_uncertainty_score":0.85188293},"labels":[],"label_agreement":null},{"id":"W2313624651","doi":"10.1021/pr300893w","title":"Standardized Protocols for Quality Control of MRM-based Plasma Proteomic Workflows","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Genome British Columbia; University of Victoria; Genome Canada","keywords":"Quality (philosophy); Workflow; Control (management); Computational biology; Computer science; Chemistry; Biology; Database; Artificial intelligence","score_opus":0.12926672134180212,"score_gpt":0.48116407385255044,"score_spread":0.35189735251074833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313624651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38076398,0.00013973129,0.5802574,0.0011321565,0.00003351753,0.036362536,0.00033429964,0.00005733356,0.00091904524],"genre_scores_gemma":[0.69772995,0.000008873559,0.26613912,0.000011251761,0.0004409754,0.03538652,0.0000044345293,0.000050122308,0.00022877759],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965485,0.00021678038,0.0012083632,0.00020315906,0.0011075546,0.0007156889],"domain_scores_gemma":[0.9956201,0.00071975717,0.0010166019,0.00053387985,0.0018115282,0.0002981368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076306085,0.00019028429,0.00063859095,0.00024343384,0.00020533308,0.000047028792,0.00064388633,0.00022392086,0.00022501206],"category_scores_gemma":[0.001506818,0.00015533982,0.0003409233,0.0003267957,0.00023641906,0.0002619476,0.00006616733,0.0009454461,0.000004143096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00433071,0.000564425,0.0026602244,0.0010504216,0.00007634465,0.0000012868741,0.00007025794,0.000069831905,0.9842783,0.0020225164,0.00034465385,0.0045310343],"study_design_scores_gemma":[0.0049502547,0.00039877061,0.00008994359,0.00051510974,0.000017491864,0.0000109618795,0.00005418547,0.00040265406,0.96784776,0.006508312,0.019025512,0.00017903795],"about_ca_topic_score_codex":0.000008096041,"about_ca_topic_score_gemma":6.840071e-7,"teacher_disagreement_score":0.31696594,"about_ca_system_score_codex":0.00033427853,"about_ca_system_score_gemma":0.0006575782,"threshold_uncertainty_score":0.63345736},"labels":[],"label_agreement":null},{"id":"W2313634730","doi":"10.1158/1538-7445.am2011-4870","title":"Abstract 4870: High-throughput proteomics using stable isotope labelling with amino acids in cell culture (SILAC) reveals potential modulators of androgen-independent prostate cancers","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"LNCaP; Stable isotope labeling by amino acids in cell culture; Prostate cancer; Androgen; Androgen receptor; Cancer research; Biology; Androgen deprivation therapy; Internal medicine; Proteomics; Endocrinology; Chemistry; Cancer; Biochemistry; Medicine; Hormone; Genetics","score_opus":0.051014096698436706,"score_gpt":0.33634538264546493,"score_spread":0.2853312859470282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313634730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941502,0.00044703833,0.002852475,0.000019733481,0.00002086237,0.0012009843,0.00019795558,0.000050939387,0.0010597673],"genre_scores_gemma":[0.95850754,0.0008197268,0.03892615,0.000007588245,0.00007188221,0.0007948998,0.00002241934,0.00007044621,0.0007793259],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99762523,0.000031950272,0.00045689024,0.0006103421,0.0005520052,0.00072355533],"domain_scores_gemma":[0.99859935,0.000015716812,0.00025096087,0.00057621574,0.0004097358,0.0001480322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004221205,0.00024431513,0.00033776948,0.0001291121,0.00020449386,0.00004037852,0.00045351608,0.00022163767,0.00027222795],"category_scores_gemma":[0.0000101996075,0.00021953085,0.00005286164,0.0005121767,0.00023094712,0.00024416487,0.0001636654,0.0008804553,0.000002890927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040057933,0.00013428919,0.010494053,0.0005308478,0.00003170105,0.000026569423,0.0010645506,0.006472277,0.9801917,0.00019831875,0.000043169814,0.00041195462],"study_design_scores_gemma":[0.000792493,0.000065992186,0.00029286163,0.0003483794,0.000013812012,0.000004252955,0.00047337302,0.00058586395,0.994966,0.0019678718,0.00021606674,0.00027307993],"about_ca_topic_score_codex":0.0077991164,"about_ca_topic_score_gemma":0.00027251113,"teacher_disagreement_score":0.036073674,"about_ca_system_score_codex":0.0009099503,"about_ca_system_score_gemma":0.0006526197,"threshold_uncertainty_score":0.998808},"labels":[],"label_agreement":null},{"id":"W2314125988","doi":"10.1021/pr300379m","title":"Proteomic Analysis of Differences in Ectoderm and Mesoderm Membranes by DiGE","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Ectoderm; Mesoderm; Cell biology; Biology; Xenopus; NODAL; Cytoskeleton; Proteomics; Embryonic stem cell; Embryo; Embryogenesis; Cell; Anatomy; Biochemistry; Gene","score_opus":0.05839082364967411,"score_gpt":0.3817076275974427,"score_spread":0.32331680394776857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314125988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962377,0.0012706553,0.0012243364,0.00028979025,0.000005131962,0.00032787657,0.000023459947,0.000008124792,0.000612904],"genre_scores_gemma":[0.9919341,0.0011570367,0.006476295,0.0000034063723,0.00005787391,0.00013653959,0.0000032604546,0.000014285565,0.00021720266],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823964,0.00008362411,0.00057820376,0.0001513409,0.000551766,0.0003954118],"domain_scores_gemma":[0.9988044,0.00021431937,0.00033874108,0.00023748973,0.00024285601,0.00016222485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014596677,0.000119236254,0.00047034636,0.00061156513,0.00007915792,0.000030234001,0.00034105152,0.00012331131,0.00017958309],"category_scores_gemma":[0.00021366868,0.00009365867,0.000111892274,0.00088233146,0.00019021022,0.00025251094,0.00011296241,0.00066166726,9.2407896e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007831278,0.00023050774,0.12846132,0.00023320153,0.00016942249,0.0000020903033,0.00033383595,0.0000045495976,0.8692504,0.0002217077,0.00004055477,0.000974074],"study_design_scores_gemma":[0.00045795017,0.00009030993,0.012628794,0.00015217315,0.00008988068,0.000019249463,0.00022909162,0.00036255756,0.98291093,0.0025967949,0.00031081334,0.00015145948],"about_ca_topic_score_codex":0.00007027604,"about_ca_topic_score_gemma":0.00000823756,"teacher_disagreement_score":0.11583252,"about_ca_system_score_codex":0.00009334421,"about_ca_system_score_gemma":0.00008103223,"threshold_uncertainty_score":0.38192898},"labels":[],"label_agreement":null},{"id":"W2314534292","doi":"10.1016/j.dib.2016.03.035","title":"Mass spectrometry analysis of PPIP5K1 interactions and data on cell motility of PPIP5K1-deficient cells","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Inositol; Phosphatase; Motility; HeLa; Kinase; Chemistry; Cell biology; Biochemistry; Cell; Enzyme; Biology; Receptor","score_opus":0.03339521828948072,"score_gpt":0.32460603445729747,"score_spread":0.29121081616781674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314534292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.807655,0.0001312123,0.13530879,0.00041073145,0.000029410836,0.00023705864,0.049307976,0.00005734291,0.006862506],"genre_scores_gemma":[0.9667725,0.00030076748,0.0309864,0.000017404458,0.000013850198,0.00001067799,0.0017496721,0.00001073122,0.00013798113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987768,0.000013759743,0.0003821707,0.0005480688,0.00014033422,0.00013887946],"domain_scores_gemma":[0.996216,0.00021216391,0.00023243291,0.0032615433,0.000034537923,0.000043339645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022985614,0.00010802403,0.00026518636,0.00016601328,0.000026159592,0.000009289639,0.0009368825,0.00005453089,0.00035194083],"category_scores_gemma":[0.00007852016,0.00009024848,0.00003367249,0.0004793863,0.00010540048,0.000184728,0.000692768,0.00014052771,0.000003194117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002522766,0.00034424968,0.0069542574,0.00006767669,0.00007493253,9.440624e-7,0.000018540904,0.000021312235,0.9882326,0.0007231947,0.0009729799,0.002564056],"study_design_scores_gemma":[0.0003096339,0.00002103582,0.003374787,0.00008482884,0.00021933095,7.35271e-7,0.00006626402,0.003500285,0.9780916,0.0009043456,0.013271369,0.00015581437],"about_ca_topic_score_codex":0.00026452943,"about_ca_topic_score_gemma":0.00008687882,"teacher_disagreement_score":0.15911755,"about_ca_system_score_codex":0.000040104653,"about_ca_system_score_gemma":0.000018984825,"threshold_uncertainty_score":0.38535053},"labels":[],"label_agreement":null},{"id":"W2315053466","doi":"10.1021/ac401101j","title":"Assays Using a NIMS Chip: Loosely Bound but Highly Selective","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Chemistry; Enzyme; Peptide; Substrate (aquarium); Phosphorylation; Combinatorial chemistry; Cysteine; IC50; Kinase; Protein kinase A; Chip; Biochemistry; In vitro","score_opus":0.016502230380666737,"score_gpt":0.27723943500294734,"score_spread":0.2607372046222806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315053466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8812289,0.000059224025,0.008281429,0.0002875238,0.000007255784,0.00012920988,0.000031729636,0.0002816979,0.10969303],"genre_scores_gemma":[0.98094976,0.000014396187,0.011560943,0.0001243552,0.0002544009,0.00012367178,0.000044726658,0.000044977132,0.0068827453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985234,0.0000049823375,0.00032396166,0.00048902154,0.00021397961,0.0004446322],"domain_scores_gemma":[0.9988946,0.000077320045,0.00011897136,0.00050951913,0.0001622163,0.00023742752],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000056345314,0.0002522726,0.00026318547,0.000017049962,0.0001753109,0.00010023272,0.00031702977,0.00027709364,0.0019643866],"category_scores_gemma":[0.000090184505,0.00025292413,0.00014359815,0.00021360352,0.00016923796,0.00013684826,0.00011772329,0.00049873255,0.00011160476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008192707,0.00011074611,0.000947012,0.00007901624,0.000060462888,0.000005250443,0.000013155959,0.000026363292,0.99609303,0.00082283316,0.0013456112,0.0004883395],"study_design_scores_gemma":[0.00020650495,0.0000059948725,0.00004648391,0.00003323464,0.000060787766,0.000034754077,0.00005426619,0.015377308,0.9647236,0.016842945,0.0022506295,0.00036347946],"about_ca_topic_score_codex":0.00014435669,"about_ca_topic_score_gemma":7.935092e-7,"teacher_disagreement_score":0.10281028,"about_ca_system_score_codex":0.00021247005,"about_ca_system_score_gemma":0.000086600645,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W2315523603","doi":"10.1021/ac402310t","title":"Unifying Expression Scale for Peptide Hydrophobicity in Proteomic Reversed Phase High-Pressure Liquid Chromatography Experiments","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Chemistry; Chromatography; Peptide; Phase (matter); Reversed-phase chromatography; Scale (ratio); High-performance liquid chromatography; Liquid phase; Hydrophilic interaction chromatography; Biochemistry; Organic chemistry","score_opus":0.01394761053834914,"score_gpt":0.2984186723357564,"score_spread":0.2844710617974073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315523603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912724,0.000046792095,0.004478901,0.00014039608,0.000007404689,0.00057976536,0.00006216569,0.00017381195,0.0032383525],"genre_scores_gemma":[0.9693761,0.000016983042,0.027287608,0.000054821558,0.00010880709,0.0018204069,0.00012914583,0.000044724417,0.001161398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983518,0.000007759856,0.00044498759,0.0005778824,0.0001821075,0.00043547645],"domain_scores_gemma":[0.99890715,0.000052119623,0.00014975447,0.0006111516,0.00007909495,0.00020071346],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007617648,0.00027206627,0.00033601507,0.000037305133,0.0001283011,0.00004536066,0.00036988498,0.0002891431,0.0013201097],"category_scores_gemma":[0.000048399364,0.00027295886,0.00016895313,0.00019143429,0.00012306722,0.00016420009,0.00012873791,0.00034037637,0.000014658023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010354294,0.00031157068,0.00026249685,0.0002453273,0.000016163898,0.0000018135281,0.000024736275,0.000021841592,0.99813515,0.000031809006,0.0008017064,0.000043862157],"study_design_scores_gemma":[0.001408037,0.000027176608,0.000011925507,0.00017167849,0.000029268247,0.000002930813,0.00007634824,0.0031284369,0.991699,0.0016331319,0.0014951881,0.00031689228],"about_ca_topic_score_codex":0.00008090714,"about_ca_topic_score_gemma":4.770397e-7,"teacher_disagreement_score":0.022808706,"about_ca_system_score_codex":0.00008164419,"about_ca_system_score_gemma":0.00003487759,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W2316496582","doi":"10.1021/ac203141d","title":"Protein Quantitation Using Ru-NHS Ester Tagging and Isotope Dilution High-Pressure Liquid Chromatography–Inductively Coupled Plasma Mass Spectrometry Determination","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Isotope dilution; Inductively coupled plasma mass spectrometry; Chromatography; Mass spectrometry; Dilution; Liquid chromatography–mass spectrometry; Analytical Chemistry (journal)","score_opus":0.017474440217505816,"score_gpt":0.2832734983933386,"score_spread":0.26579905817583277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316496582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92528754,0.00011193786,0.073225684,0.00012210218,0.000012115196,0.00019429802,0.000026174292,0.00015312963,0.0008670261],"genre_scores_gemma":[0.9276019,0.00001712493,0.071747266,0.000018139715,0.00021838449,0.00008610463,0.00006699481,0.000035377114,0.00020873833],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986123,0.000012091923,0.00033396963,0.00039692532,0.00024059,0.00040413378],"domain_scores_gemma":[0.99913996,0.00005427621,0.00021172916,0.0003224451,0.00009398522,0.00017761027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001579556,0.00025065878,0.0002518878,0.000060931565,0.00019628416,0.000065501314,0.00014998906,0.00028265474,0.00022130136],"category_scores_gemma":[0.00009561802,0.00026604062,0.000086360655,0.00027135893,0.00014706005,0.00040853547,0.00007829458,0.00034592344,0.000004646818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047306556,0.00008287237,0.0012367115,0.000243546,0.000040221687,0.0000015380823,0.000026256546,0.000023720406,0.99645936,0.0017301333,0.000005073057,0.000103260594],"study_design_scores_gemma":[0.00030847406,0.000018534118,0.00020216362,0.00010420658,0.00013567085,0.00002629923,0.00008601698,0.042078115,0.9554189,0.0010213127,0.00026099905,0.00033931984],"about_ca_topic_score_codex":0.000024991481,"about_ca_topic_score_gemma":3.9993208e-7,"teacher_disagreement_score":0.042054396,"about_ca_system_score_codex":0.00010830821,"about_ca_system_score_gemma":0.000026989226,"threshold_uncertainty_score":0.9999792},"labels":[],"label_agreement":null},{"id":"W2316611509","doi":"10.1021/ac503352h","title":"N-Capping Motifs Promote Interaction of Amphipathic Helical Peptides with Hydrophobic Surfaces and Drastically Alter Hydrophobicity Values of Individual Amino Acids","year":2014,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Chemistry; Amphiphile; Amino acid; Hydrophobic effect; Peptide; Helix (gastropod); Stereochemistry; Hydrophilic interaction chromatography; Crystallography; Biochemistry; Chromatography; Organic chemistry; High-performance liquid chromatography; Copolymer; Polymer","score_opus":0.016941279139000554,"score_gpt":0.2679097695705969,"score_spread":0.25096849043159636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316611509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853751,0.00007625859,0.0044481214,0.006793322,0.000010801695,0.00021499912,0.00017540934,0.000118166165,0.0027878073],"genre_scores_gemma":[0.9882604,0.000051783838,0.0069008516,0.003015869,0.0005491441,0.00006578085,0.00040938295,0.000092670285,0.0006541178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971171,0.00003120317,0.0008851985,0.0008537119,0.0006503883,0.00046242087],"domain_scores_gemma":[0.99783564,0.00035785104,0.00066243217,0.00076755485,0.00022522514,0.00015130384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022444302,0.0005609874,0.0009786024,0.00006417304,0.00008455432,0.00006050152,0.0005554995,0.0010743566,0.00022496871],"category_scores_gemma":[0.00014138491,0.00049445895,0.00020608414,0.00018166202,0.00093210407,0.00009392831,0.00027567783,0.0021019212,0.0000040913337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014636616,0.00028286068,0.0015941017,0.0076106736,0.00052755023,0.000061189654,0.0001730734,0.00010800948,0.9838447,0.000053463653,0.005044905,0.0005531091],"study_design_scores_gemma":[0.00042056933,0.00011988637,0.000053412572,0.0012209117,0.0006396076,0.00013439413,0.000052455107,0.009654688,0.9805171,0.0021026377,0.004341506,0.0007428455],"about_ca_topic_score_codex":0.000027512426,"about_ca_topic_score_gemma":5.8702716e-7,"teacher_disagreement_score":0.009546678,"about_ca_system_score_codex":0.00008605215,"about_ca_system_score_gemma":0.00009365624,"threshold_uncertainty_score":0.99975073},"labels":[],"label_agreement":null},{"id":"W2319839518","doi":"10.4172/2155-9872.1000213","title":"A New Enhanced, Rapid and Precise Sample Preparation Protocol for Label-free Protein Quantification","year":2014,"lang":"en","type":"article","venue":"Journal of Analytical & Bioanalytical Techniques","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Sample preparation; Chromatography; Lysis; Chemistry; Sample (material); Protocol (science); Extraction (chemistry); Mass spectrometry; Solid phase extraction; Workflow; Computer science; Biochemistry; Database","score_opus":0.0323497384025647,"score_gpt":0.36829115777875554,"score_spread":0.3359414193761908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319839518","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066074176,0.000009888798,0.9785342,0.0016503498,0.000005766196,0.016582154,0.000030149418,0.00016673059,0.0023599896],"genre_scores_gemma":[0.0406509,0.000020696074,0.9318987,0.00008636256,0.0005044514,0.025928458,0.000009791668,0.000051118972,0.0008495165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99778146,0.00003752255,0.001092596,0.00039882926,0.00037619297,0.00031341988],"domain_scores_gemma":[0.99748206,0.00040874095,0.00065636035,0.0006129233,0.000507183,0.0003327159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077394664,0.00026962504,0.00052632723,0.00016539653,0.00012239275,0.00012450042,0.0004900822,0.0002752137,0.00020539116],"category_scores_gemma":[0.0018628332,0.00022037693,0.00022541574,0.0002505261,0.0001703251,0.0002734988,0.00010374585,0.00037181395,0.0000018831244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021964759,0.00073249626,0.0000891627,0.00058671157,0.00018094036,0.0000016248623,0.00004931079,0.0000057787224,0.421439,0.26094398,0.008514398,0.30526012],"study_design_scores_gemma":[0.0009882075,0.00078097143,0.000007990739,0.00024961837,0.00011713707,0.000015643356,0.000009334548,0.008582274,0.70685005,0.20197532,0.08014891,0.00027454595],"about_ca_topic_score_codex":0.000010875907,"about_ca_topic_score_gemma":0.000004038454,"teacher_disagreement_score":0.30498558,"about_ca_system_score_codex":0.00010793756,"about_ca_system_score_gemma":0.00012534745,"threshold_uncertainty_score":0.89867103},"labels":[],"label_agreement":null},{"id":"W2321491009","doi":"10.1038/nprot.2008.88","title":"Protease subsite profiling with proteome-derived peptide libraries (PICS)","year":2008,"lang":"en","type":"article","venue":"Protocol Exchange","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteome; Peptide; Profiling (computer programming); Protease; Computational biology; Chemistry; Combinatorial chemistry; Biochemistry; Biology; Computer science; Programming language; Enzyme","score_opus":0.028222342443394176,"score_gpt":0.27606954717546245,"score_spread":0.24784720473206828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321491009","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083129935,0.00004443743,0.068132244,0.000712211,0.000012575782,0.7999079,0.0001323726,0.0030485813,0.04487973],"genre_scores_gemma":[0.0085984655,0.000004543159,0.20750235,0.000079365025,0.00019127403,0.78081036,0.000034320197,0.00008281921,0.0026965127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983035,0.000019535693,0.00033429207,0.0005650934,0.00029320517,0.0004844224],"domain_scores_gemma":[0.99869674,0.000023225724,0.00026777416,0.00069594366,0.00013504637,0.0001812377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008905847,0.00034368865,0.0002818836,0.00007044702,0.00046079655,0.000062391955,0.0003779334,0.00015582333,0.00067408296],"category_scores_gemma":[0.00003247253,0.00028957336,0.00007591813,0.00027144482,0.0002469601,0.000405869,0.00017134837,0.0004003141,0.000050577255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019430118,0.0010281312,0.023146799,0.0044449656,0.00010325435,0.00023050659,0.0019650052,0.000043995788,0.95619816,0.0042787967,0.0015851313,0.0050322725],"study_design_scores_gemma":[0.0011265333,0.00012701763,0.00009078961,0.00016992177,0.000008977159,0.000076098506,0.00004920561,0.00015242302,0.9317521,0.0019065375,0.06407446,0.00046595617],"about_ca_topic_score_codex":0.00002629133,"about_ca_topic_score_gemma":0.000005054954,"teacher_disagreement_score":0.13937011,"about_ca_system_score_codex":0.00007180446,"about_ca_system_score_gemma":0.00015582236,"threshold_uncertainty_score":0.99995565},"labels":[],"label_agreement":null},{"id":"W2321587245","doi":"10.1158/1538-7445.am2011-5103","title":"Abstract 5103: Mining the pancreatic cancer ascites fluid proteome with mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Ascites; Pancreatic cancer; Tandem mass spectrometry; Cancer; Chromatography; Chemistry; Proteome; Orbitrap; Mass spectrometry; Medicine; Internal medicine; Biochemistry","score_opus":0.08228712580276014,"score_gpt":0.38020059389988886,"score_spread":0.2979134680971287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321587245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96428347,0.0014227411,0.0015006227,0.0007160467,0.00001654802,0.00072254316,0.00008672519,0.00015990519,0.031091416],"genre_scores_gemma":[0.9667562,0.0011240804,0.0222996,0.000046607896,0.000300892,0.0066139093,0.0000082807155,0.00006808269,0.0027823069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99821025,0.000023073862,0.00020683344,0.00043416393,0.00049314834,0.0006325522],"domain_scores_gemma":[0.9986975,0.00014042099,0.000090379486,0.0007164648,0.00022817201,0.00012701757],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040334204,0.0001788269,0.00018483041,0.00009373352,0.00041015408,0.00006846323,0.00067137944,0.000095730014,0.004666072],"category_scores_gemma":[0.00004456629,0.00011770153,0.000049579627,0.0005903103,0.00036069952,0.00012270024,0.000106296895,0.0007036965,0.000029174807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013802634,0.00005372427,0.0055527147,0.00016356268,0.000070512746,0.000011172387,0.0004906903,0.000012805129,0.9885594,0.0009345147,0.0007875289,0.0032253382],"study_design_scores_gemma":[0.0002345481,0.00006149512,0.0015891017,0.0002620292,0.000016862696,0.000004780202,0.0005463276,0.00003474644,0.9887702,0.0037795207,0.004481126,0.0002192706],"about_ca_topic_score_codex":0.0013550872,"about_ca_topic_score_gemma":0.00011895761,"teacher_disagreement_score":0.02830911,"about_ca_system_score_codex":0.0003225806,"about_ca_system_score_gemma":0.00029207068,"threshold_uncertainty_score":0.9962438},"labels":[],"label_agreement":null},{"id":"W2321625187","doi":"10.1158/0008-5472.sabcs12-p6-05-09","title":"Abstract P6-05-09: Unravelling the global effect of estrogen on breast cancer cell proteome using quantitative proteomics.","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Estrogen receptor; Estrogen; Proteome; Biology; Proteomics; Breast cancer; Estrogen receptor alpha; Estrogen receptor beta; Quantitative proteomics; Cell growth; Cancer research; Cancer; Cell biology; Bioinformatics; Endocrinology; Biochemistry; Gene; Genetics","score_opus":0.07675593350037878,"score_gpt":0.4409968428916955,"score_spread":0.3642409093913167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321625187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242675,0.0014294519,0.0014768727,0.00026930057,0.000049818835,0.0015610945,0.00063738687,0.000054108525,0.0020952204],"genre_scores_gemma":[0.9917114,0.00038992087,0.0048915828,0.000014151289,0.00037141834,0.002465855,0.000009251503,0.000049014772,0.00009744608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99800044,0.00008318075,0.00029960406,0.00035383934,0.0005315591,0.0007313999],"domain_scores_gemma":[0.9985803,0.00023549389,0.00020522697,0.0005543488,0.00026208546,0.0001625419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008782788,0.0002263203,0.000260988,0.000037444137,0.00034550249,0.000041101794,0.0005342607,0.00014853601,0.00040766678],"category_scores_gemma":[0.00004223676,0.00016266391,0.00011019318,0.00037837718,0.000303751,0.00016507188,0.00015246111,0.00066906353,0.000016315556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004855854,0.000119542325,0.0064094122,0.00049689895,0.000053159903,0.000001356892,0.00023765268,0.0010230612,0.98639244,0.002253357,0.000087999004,0.002439548],"study_design_scores_gemma":[0.00032952498,0.000061545965,0.00041524804,0.00029943456,0.000020406933,0.0000056382823,0.00012937128,0.00031593328,0.9969771,0.0006876829,0.0005786937,0.00017941593],"about_ca_topic_score_codex":0.0043632463,"about_ca_topic_score_gemma":0.000040850282,"teacher_disagreement_score":0.010584678,"about_ca_system_score_codex":0.0010545311,"about_ca_system_score_gemma":0.0002633337,"threshold_uncertainty_score":0.6633242},"labels":[],"label_agreement":null},{"id":"W2322356970","doi":"10.1021/pr200273r","title":"Validation of Peptide MS/MS Spectra Using Metabolic Isotope Labeling for Spectral Matching-Based Shotgun Proteome Analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Chemistry; Mass spectrometry; Bottom-up proteomics; Tandem mass spectrometry; Peptide; Shotgun; Shotgun proteomics; Database search engine; Peptide sequence; Sequence database; Chromatography; Mascot; Sequence (biology); Computational biology; Proteomics; Protein mass spectrometry; Biology; Biochemistry; Computer science; Search engine","score_opus":0.11503992262868426,"score_gpt":0.3957715380543391,"score_spread":0.28073161542565483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322356970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6769026,0.0001573202,0.3211041,0.00011903031,0.000012455246,0.0010136681,0.000043799533,0.00002650218,0.000620544],"genre_scores_gemma":[0.5261964,0.000053624513,0.47314978,0.0000049631894,0.00021521193,0.00020093682,0.000008265488,0.000041009604,0.00012980106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970405,0.00010621946,0.0010680925,0.00033015918,0.0008802651,0.0005747432],"domain_scores_gemma":[0.99693626,0.00015596735,0.00091575866,0.00052882626,0.0012731348,0.00019007301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002881969,0.00021913159,0.00064436527,0.000933252,0.0002586616,0.000067145615,0.00069399003,0.00016954615,0.00066957844],"category_scores_gemma":[0.00025648213,0.0001960329,0.00051120186,0.001335772,0.0001497243,0.0003159043,0.00008585087,0.00089933426,0.0000026938376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033788438,0.00027187902,0.0013828542,0.00027390535,0.00035232384,0.0000068411046,0.0002650361,0.0018762118,0.9939917,0.0010116121,0.0000121567045,0.00021761777],"study_design_scores_gemma":[0.00060162117,0.00018205332,0.00018179973,0.00015761172,0.00026807256,0.000017372096,0.00011699578,0.0036911159,0.9716088,0.022737954,0.00024378745,0.00019281964],"about_ca_topic_score_codex":0.00023820228,"about_ca_topic_score_gemma":0.0000096894555,"teacher_disagreement_score":0.15204568,"about_ca_system_score_codex":0.00021523393,"about_ca_system_score_gemma":0.00038067435,"threshold_uncertainty_score":0.7993989},"labels":[],"label_agreement":null},{"id":"W2322890871","doi":"10.1109/tcbb.2015.2407401","title":"An Approach for Peptide Identification by De Novo Sequencing of Mixture Spectra","year":2015,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; China Sponsorship Council","keywords":"Bottleneck; Spectral line; Mass spectrum; Fragmentation (computing); Computer science; Identification (biology); Mass spectrometry; Algorithm; Biological system; Chemistry; Chromatography; Physics; Biology","score_opus":0.026448401874157198,"score_gpt":0.30357315536693397,"score_spread":0.27712475349277677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322890871","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043127194,0.00002195295,0.95560247,0.00011114995,0.000020041525,0.00018356531,0.0006037581,0.00006820199,0.00026164518],"genre_scores_gemma":[0.4304174,0.000015439278,0.5689016,0.000063122345,0.000019292042,0.00007166566,0.000470117,0.000006382591,0.000034981134],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931145,0.00001078551,0.00033562048,0.00014086158,0.00006919263,0.000132114],"domain_scores_gemma":[0.9993096,0.00011437914,0.00016143588,0.00019196587,0.00014146876,0.000081150356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017523894,0.00011247674,0.00013031242,0.00005818072,0.00013685791,0.000017399316,0.00016039198,0.00015785388,0.000006587973],"category_scores_gemma":[0.000016581014,0.000107345295,0.000044008942,0.000084906555,0.00011195881,0.00013304502,0.0000023755829,0.0001382941,0.000001137783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005011065,0.0011167165,0.00067856547,0.00096344325,0.00028414463,5.13492e-7,0.003993707,0.35725313,0.53489757,0.017105317,0.0009864795,0.0822193],"study_design_scores_gemma":[0.00084374944,0.00019675063,0.000016855663,0.000023273566,0.000054410062,0.000060029128,0.00097139017,0.6095153,0.3091724,0.07830992,0.0005438608,0.000292072],"about_ca_topic_score_codex":0.0000065407753,"about_ca_topic_score_gemma":0.0000010095129,"teacher_disagreement_score":0.3872902,"about_ca_system_score_codex":0.00007149639,"about_ca_system_score_gemma":0.00008810247,"threshold_uncertainty_score":0.4377414},"labels":[],"label_agreement":null},{"id":"W2323669177","doi":"10.1093/annonc/mdt083.5","title":"Unravelling the Effect of Estrogen on Breast Cancer Cell Proteome Using Quantitative Proteomics","year":2013,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Estrogen; Estrogen receptor; Proteome; Estrogen receptor beta; Proteomics; Estrogen receptor alpha; Quantitative proteomics; GPER; Biology; Cell biology; Cancer research; Breast cancer; Biochemistry; Cancer; Endocrinology; Gene; Genetics","score_opus":0.05287605181403237,"score_gpt":0.3868050271640458,"score_spread":0.3339289753500134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323669177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911007,0.00014862584,0.0038950813,0.000892816,0.00001696504,0.0010093834,0.00008863178,0.00002477754,0.002822964],"genre_scores_gemma":[0.96933377,0.00019934772,0.029266346,0.00008941079,0.00006363311,0.0009483056,0.00000533462,0.000025859685,0.00006800507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991487,0.00004829755,0.00031060266,0.00018759951,0.00009786192,0.00020692346],"domain_scores_gemma":[0.99877983,0.0002391718,0.00045768224,0.0002938655,0.00018898085,0.000040448143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019026954,0.00013940493,0.00029838295,0.000023932804,0.00007307236,0.0000057637767,0.0002543687,0.0001365759,0.00020043136],"category_scores_gemma":[0.000024681307,0.00009719433,0.000097500386,0.00009272477,0.00016796275,0.000065727625,0.000057363046,0.00019360152,0.0000059922427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016536264,0.00010079841,0.00075528707,0.00015655786,0.000043767956,5.2278597e-7,0.00013163804,0.0013330042,0.9897005,0.0015667762,0.0000998693,0.0059459014],"study_design_scores_gemma":[0.0002405685,0.0005759194,0.000053574266,0.000070682465,0.000019961115,0.0000052739856,0.00007203054,0.0016556034,0.9947407,0.0019185516,0.0005529025,0.000094179835],"about_ca_topic_score_codex":0.0009338851,"about_ca_topic_score_gemma":0.0000067937294,"teacher_disagreement_score":0.025371265,"about_ca_system_score_codex":0.00005199283,"about_ca_system_score_gemma":0.000079317535,"threshold_uncertainty_score":0.396347},"labels":[],"label_agreement":null},{"id":"W2325289331","doi":"10.1158/1538-7445.am2012-lb-293","title":"Abstract LB-293: High-throughput proteomic analysis identifies protein s as a modulator of high grade and castrate-resistant prostate cancer","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"DU145; LNCaP; Prostate cancer; Prostate; Cancer research; Androgen; Cancer; Androgen deprivation therapy; Internal medicine; Medicine; Oncology; Biology; Hormone","score_opus":0.04305049356946446,"score_gpt":0.38898561716855434,"score_spread":0.3459351235990899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325289331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99557215,0.0016159489,0.00017001935,0.0005070779,0.000020351954,0.001268626,0.0005664125,0.0000788915,0.00020051749],"genre_scores_gemma":[0.98787916,0.00074702443,0.0027243393,0.000008445045,0.00017441783,0.0063007134,0.00004239667,0.000054458967,0.0020690388],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99753386,0.00004350977,0.0004735729,0.00055757904,0.00061845087,0.0007730412],"domain_scores_gemma":[0.99842334,0.000052886604,0.00024542902,0.0006791386,0.00034827495,0.00025095805],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051835045,0.00024457026,0.0004285228,0.00022487596,0.0002824028,0.000088172834,0.0003539055,0.00016914462,0.0009975213],"category_scores_gemma":[0.00004625351,0.00022582481,0.000104646,0.00084272405,0.00043136498,0.0003130616,0.00020419732,0.0005953481,0.00001035689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001812174,0.00012436455,0.0024729476,0.0005314281,0.0002682484,0.0000036793488,0.0002947676,0.00014942473,0.9921729,0.002675598,0.00013501919,0.0009904354],"study_design_scores_gemma":[0.00036815857,0.000027970073,0.0060304683,0.00017918088,0.00009162751,0.000001395848,0.00015831663,0.000034148718,0.98499256,0.007324455,0.00054264616,0.0002490736],"about_ca_topic_score_codex":0.023692418,"about_ca_topic_score_gemma":0.000613184,"teacher_disagreement_score":0.023079235,"about_ca_system_score_codex":0.00035060607,"about_ca_system_score_gemma":0.00028209898,"threshold_uncertainty_score":0.9999157},"labels":[],"label_agreement":null},{"id":"W2325429075","doi":"10.1021/pr500317d","title":"Multiplexed MRM with Internal Standards for Cerebrospinal Fluid Candidate Protein Biomarker Quantitation","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Biomarker discovery; Cerebrospinal fluid; Biomarker; Quantitative proteomics; Peptide; Chromatography; Apolipoprotein B; Albumin; Selected reaction monitoring; Chemistry; Proteomics; Computational biology; Biology; Mass spectrometry; Biochemistry; Tandem mass spectrometry; Medicine; Cholesterol; Pathology","score_opus":0.04889087324074291,"score_gpt":0.406964083029326,"score_spread":0.3580732097885831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325429075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5424329,0.00007680282,0.45397294,0.00086500734,0.0000189252,0.0012796337,0.00009647132,0.000036855075,0.0012204784],"genre_scores_gemma":[0.7682781,0.000022098417,0.23007685,0.0000075984367,0.00022639756,0.00060036377,0.000009262336,0.000042929805,0.0007363898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99773395,0.0000724739,0.00051778293,0.00023737091,0.0010154832,0.0004229632],"domain_scores_gemma":[0.99680406,0.00014052598,0.0003888735,0.00030230582,0.0021896835,0.00017457147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002871662,0.00015296893,0.0002663223,0.0002417655,0.0002658203,0.00012273357,0.00044439087,0.00011078517,0.00016049267],"category_scores_gemma":[0.000674357,0.00011421103,0.00010812949,0.00025413377,0.00017483623,0.00023681455,0.00007263879,0.0006116688,0.000003641152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020212464,0.00009327365,0.00033310364,0.00029405902,0.00004983951,0.00000413483,0.000054732605,0.00001772645,0.9877657,0.0021175887,0.0005521315,0.00669642],"study_design_scores_gemma":[0.0022001846,0.0012034934,0.00013972077,0.0007172211,0.000013951942,0.00007123125,0.00010869542,0.0026206423,0.94072753,0.0086691985,0.043322887,0.00020523209],"about_ca_topic_score_codex":0.000051887644,"about_ca_topic_score_gemma":0.000016176917,"teacher_disagreement_score":0.22584523,"about_ca_system_score_codex":0.00033303563,"about_ca_system_score_gemma":0.00040228709,"threshold_uncertainty_score":0.46573904},"labels":[],"label_agreement":null},{"id":"W2325891760","doi":"10.1021/ac502572a","title":"Pyridoxamine-5-phosphate Enzyme-Linked Immune Mass Spectrometric Assay Substrate for Linear Absolute Quantification of Alkaline Phosphatase to the Yoctomole Range Applied to Prostate Specific Antigen","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Alkaline phosphatase; Pyridoxamine; Chromatography; Linear range; Enzyme; Substrate (aquarium); Prostate-specific antigen; Phosphate; Biochemistry; Prostate cancer; Detection limit","score_opus":0.01974106018158894,"score_gpt":0.2767836775960352,"score_spread":0.2570426174144463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325891760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31928536,0.00055298023,0.6692952,0.0018485087,0.00004605074,0.0015032185,0.0011180835,0.00031720343,0.0060333996],"genre_scores_gemma":[0.9648839,0.00015789407,0.030853784,0.000117211915,0.00031756348,0.0006151053,0.0008041493,0.000078170175,0.0021721835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975037,0.000009581191,0.00084726035,0.0007394794,0.0003389588,0.00056104566],"domain_scores_gemma":[0.99757224,0.0002690088,0.00032901895,0.0012971894,0.00025293176,0.00027961557],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006684444,0.00035668202,0.000510018,0.00007262453,0.00017183172,0.000061485756,0.00075321004,0.00019658329,0.00036171929],"category_scores_gemma":[0.00022916164,0.00030890256,0.00020969374,0.0008915054,0.000116290124,0.00005391559,0.00011427915,0.00030909924,0.00007436429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032173592,0.00015412872,0.000052848376,0.00022295331,0.00005851315,0.0000012584234,0.000035960576,0.0011029791,0.9924487,0.0034065146,0.00072491093,0.0014695068],"study_design_scores_gemma":[0.0005800847,0.00003493546,0.00006899009,0.000043493976,0.00005953406,0.0000018381953,0.00004701711,0.01281498,0.9357442,0.00092818966,0.049314346,0.00036236254],"about_ca_topic_score_codex":0.000026623246,"about_ca_topic_score_gemma":0.0000018541319,"teacher_disagreement_score":0.6455986,"about_ca_system_score_codex":0.00009661145,"about_ca_system_score_gemma":0.00004220404,"threshold_uncertainty_score":0.9999363},"labels":[],"label_agreement":null},{"id":"W2325985016","doi":"10.1158/1538-7445.am2011-5075","title":"Abstract 5075: An integrated <i>in silico</i> and proteomic approach towards the identification of novel cancer biomarkers based on tissue specificity","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Prostate cancer; Cancer; In silico; Cancer biomarkers; Computational biology; Biology; Biomarker discovery; Human proteome project; Human Protein Atlas; Proteomics; Proteome; UniGene; Bioinformatics; Cancer research; Gene; Transcriptome; Gene expression; Genetics; Protein expression","score_opus":0.1384541497044062,"score_gpt":0.39791125999257626,"score_spread":0.2594571102881701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325985016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98702615,0.00014633182,0.006042128,0.00027451164,0.000015332856,0.0010741742,0.00030707108,0.000049881502,0.0050644083],"genre_scores_gemma":[0.99211115,0.00025006064,0.004863779,0.000017188693,0.00004452577,0.0024866743,0.00004059872,0.000029217346,0.00015679376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985772,0.00003820569,0.00034400576,0.00044210276,0.00031389427,0.00028463078],"domain_scores_gemma":[0.99892473,0.00004788933,0.00013775693,0.00060265,0.0002102595,0.0000767296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084022136,0.00013649545,0.00015478987,0.00011726776,0.00012932028,0.000032733027,0.00045074415,0.00012271498,0.00024348823],"category_scores_gemma":[0.000046650537,0.0001041868,0.000027545504,0.00044124873,0.00036289162,0.0001085673,0.000054142223,0.000508866,0.0000013113802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023611914,0.00031351967,0.0005661997,0.00013052998,0.000009748736,5.7249116e-7,0.0002467355,0.00017832432,0.98120564,0.00050410157,0.00006448481,0.016544014],"study_design_scores_gemma":[0.00033455776,0.000028115628,0.0045035416,0.00009029656,0.000004290622,6.2087173e-7,0.0002775353,0.0044452893,0.9891229,0.00030910506,0.00076183473,0.00012188697],"about_ca_topic_score_codex":0.0055772597,"about_ca_topic_score_gemma":0.00018108309,"teacher_disagreement_score":0.016422128,"about_ca_system_score_codex":0.00024571648,"about_ca_system_score_gemma":0.00023205868,"threshold_uncertainty_score":0.84311855},"labels":[],"label_agreement":null},{"id":"W2326104976","doi":"10.1021/pr4001256","title":"Combining Percolator with X!Tandem for Accurate and Sensitive Peptide Identification","year":2013,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tandem; Tandem mass spectrometry; Shotgun proteomics; Set (abstract data type); Computer science; Identification (biology); Tandem repeat; Pattern recognition (psychology); Artificial intelligence; Chemistry; Proteomics; Chromatography; Mass spectrometry; Biology; Materials science","score_opus":0.05397242721055872,"score_gpt":0.37915312537099205,"score_spread":0.3251806981604333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326104976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93673646,0.000053995987,0.06051972,0.0011920192,0.0000058576384,0.00093506905,0.000007917698,0.000018014242,0.00053095556],"genre_scores_gemma":[0.9334676,0.000075483105,0.06504728,0.00000894736,0.000110202855,0.0004685437,0.000002730703,0.000021581069,0.0007975974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989448,0.0000300007,0.00031403205,0.00015253482,0.0003229528,0.00023563429],"domain_scores_gemma":[0.9979096,0.00021562932,0.00025808098,0.00016250665,0.0013328126,0.00012138561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000914616,0.0000832734,0.00015963227,0.000112207155,0.00024327071,0.00014090151,0.0001557967,0.00007026392,0.000038641276],"category_scores_gemma":[0.00019753836,0.00006330752,0.000038553826,0.00014649442,0.00012539898,0.00033495965,0.000050000508,0.00047821147,0.0000055039472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007672148,0.00003964226,0.0005517899,0.000084749096,0.000028825118,0.0000030430479,0.00020706006,0.000006822605,0.9957812,0.0009068187,0.0002799729,0.002033346],"study_design_scores_gemma":[0.0010022201,0.00034357677,0.0016140221,0.00029708052,0.000017445978,0.00018498841,0.0016932283,0.0019047622,0.9672472,0.023536503,0.0019780428,0.00018091899],"about_ca_topic_score_codex":0.000013554219,"about_ca_topic_score_gemma":0.0000015486133,"teacher_disagreement_score":0.028533999,"about_ca_system_score_codex":0.0000956733,"about_ca_system_score_gemma":0.00010331056,"threshold_uncertainty_score":0.25816056},"labels":[],"label_agreement":null},{"id":"W2326414500","doi":"10.1021/pr200153k","title":"PeaksPTM: Mass Spectrometry-Based Identification of Peptides with Unspecified Modifications","year":2011,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Identification (biology); Tandem mass spectrometry; Database search engine; Mass spectrometry; Sequence (biology); Software; Posttranslational modification; Data mining; Computational biology; Combinatorial chemistry; Chemistry; Information retrieval; Search engine; Chromatography; Programming language; Biochemistry; Biology","score_opus":0.1126874813581207,"score_gpt":0.36592877347380176,"score_spread":0.253241292115681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326414500","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32895193,0.00014742845,0.65327305,0.00064892595,0.000014246565,0.00069287256,0.000042421267,0.000050228824,0.016178891],"genre_scores_gemma":[0.7259152,0.000059190552,0.2732289,0.0000020224256,0.00006779585,0.00012413964,0.0000037111643,0.000023536815,0.00057550543],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792254,0.00006015759,0.0007334185,0.00020843626,0.0007862519,0.0002891893],"domain_scores_gemma":[0.9969305,0.00009695039,0.00072416273,0.0005933005,0.0015227391,0.00013237682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013620963,0.00012088216,0.00024135328,0.0004961758,0.00015424985,0.00003493626,0.0006565804,0.0000968027,0.00044629606],"category_scores_gemma":[0.00018153636,0.0000976037,0.00010478574,0.0007925189,0.00029713963,0.0001898389,0.000035640962,0.0007057769,0.00001593113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022350792,0.00025753697,0.0005565058,0.00012060331,0.000033936685,0.0000073855094,0.00012545651,0.00003772773,0.99253213,0.0057368376,0.00009643671,0.00027190548],"study_design_scores_gemma":[0.0003752669,0.00020798108,0.00074213557,0.0001146452,0.000016216096,0.000026327032,0.00028647576,0.00020879501,0.9789759,0.018658226,0.00028360277,0.00010442684],"about_ca_topic_score_codex":0.000020847636,"about_ca_topic_score_gemma":0.0000015193234,"teacher_disagreement_score":0.39696327,"about_ca_system_score_codex":0.00016615282,"about_ca_system_score_gemma":0.00027399915,"threshold_uncertainty_score":0.4886629},"labels":[],"label_agreement":null},{"id":"W2326621994","doi":"10.1158/0008-5472.sabcs12-p2-05-11","title":"Abstract P2-05-11: Proteomic identification and in-silico verification of subtype-specific signatures in breast cancer.","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Proteome; Breast cancer; Proteomics; In silico; Computational biology; Biology; Cancer; Transcriptome; Cancer research; Identification (biology); Disease; Tandem mass spectrometry; Bioinformatics; Gene; Mass spectrometry; Genetics; Medicine; Chemistry; Gene expression; Pathology","score_opus":0.04736532092677527,"score_gpt":0.3804393904858434,"score_spread":0.33307406955906815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326621994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565244,0.0024454007,0.00008747052,0.0007344303,0.000024887224,0.00053236063,0.000113370486,0.000027309634,0.00038231927],"genre_scores_gemma":[0.99413,0.0032308407,0.0003462734,0.000007503939,0.00012425022,0.0019317808,0.00002029467,0.000025096133,0.00018397016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986774,0.00002866967,0.00033819917,0.00031424096,0.00026490356,0.00037660295],"domain_scores_gemma":[0.99916404,0.000061333245,0.0001288611,0.0003930858,0.00015338662,0.000099304685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058444793,0.00010973372,0.00015479924,0.00018825955,0.00007425869,0.000026812353,0.00025218417,0.00015433224,0.00041258457],"category_scores_gemma":[0.000030316414,0.000114605566,0.000023454684,0.00045098393,0.00017401266,0.0002263402,0.00006287008,0.00049018173,0.0000045823217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089921596,0.00010184627,0.04584479,0.00017522444,0.0000031717868,4.0440398e-7,0.00019270662,0.00007374554,0.9454271,0.0011717705,0.0005684237,0.006350901],"study_design_scores_gemma":[0.0002578249,0.0000029700996,0.2268722,0.00016327953,0.0000018235329,0.0000012771849,0.00011615202,0.000051996954,0.76922923,0.0010820737,0.0020964963,0.00012464385],"about_ca_topic_score_codex":0.0011620218,"about_ca_topic_score_gemma":0.00025507924,"teacher_disagreement_score":0.18102741,"about_ca_system_score_codex":0.00039092865,"about_ca_system_score_gemma":0.00013135186,"threshold_uncertainty_score":0.46734795},"labels":[],"label_agreement":null},{"id":"W2327815421","doi":"10.1021/pr5010955","title":"Qualis-SIS: Automated Standard Curve Generation and Quality Assessment for Multiplexed Targeted Quantitative Proteomic Experiments with Labeled Standards","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Western Economic Diversification Canada; Genome British Columbia; Genome Canada","keywords":"Computer science; Multiplexing; Software; Data mining; Analyte; Process (computing); Chemistry","score_opus":0.14228185917977004,"score_gpt":0.498438787362431,"score_spread":0.356156928182661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327815421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7347136,0.00012313265,0.2623982,0.00044626583,0.00001559512,0.001800034,0.00027443448,0.00009707383,0.00013165711],"genre_scores_gemma":[0.5450419,0.000049763297,0.45354533,0.00000833128,0.00009069816,0.0011163518,0.00003075955,0.00003833207,0.00007851901],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99655455,0.00041775787,0.0008323088,0.00036901006,0.0013767459,0.00044960045],"domain_scores_gemma":[0.9951917,0.00032564302,0.0007131225,0.0003452535,0.0032158867,0.00020838925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006554938,0.00022311562,0.0005165772,0.00021483388,0.0004498281,0.00017809181,0.00029417174,0.00015548129,0.000054300854],"category_scores_gemma":[0.0010245135,0.00017252719,0.00008470711,0.0002770975,0.00021574832,0.00032908373,0.00008569315,0.0006600026,6.2529546e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013657138,0.0001438769,0.00050807226,0.00025480794,0.00010665047,0.0000015385003,0.00034287485,0.000072102404,0.992024,0.004162465,0.000326813,0.0006910907],"study_design_scores_gemma":[0.0037242668,0.0016201271,0.0001883706,0.0002364317,0.000018988563,0.000009995954,0.0005285143,0.014892546,0.97419775,0.0027879453,0.0015359021,0.00025915343],"about_ca_topic_score_codex":0.000044290304,"about_ca_topic_score_gemma":0.000016456863,"teacher_disagreement_score":0.1911471,"about_ca_system_score_codex":0.000639413,"about_ca_system_score_gemma":0.0006301301,"threshold_uncertainty_score":0.70354545},"labels":[],"label_agreement":null},{"id":"W2328919628","doi":"10.1021/ac400158u","title":"Absolute Quantification of Peptides by Isotope Dilution Liquid Chromatography–Inductively Coupled Plasma Mass Spectrometry and Gas Chromatography/Mass Spectrometry","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Chemistry; Chromatography; Mass spectrometry; Isotope dilution; Inductively coupled plasma mass spectrometry; Gas chromatography; Sample preparation in mass spectrometry; Ion-mobility spectrometry–mass spectrometry; Gas chromatography–mass spectrometry; Analytical Chemistry (journal); Electrospray ionization","score_opus":0.01035308306902044,"score_gpt":0.24860592829481248,"score_spread":0.23825284522579204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328919628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95521235,0.00034114512,0.03767405,0.0003936727,0.000011394756,0.00035102337,0.0001215877,0.00025311208,0.005641641],"genre_scores_gemma":[0.9678318,0.0005630742,0.030552551,0.000019822708,0.00010306025,0.00025781096,0.00020969441,0.000057488116,0.0004047088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975267,0.000013684284,0.0007213142,0.0008017326,0.00039428056,0.00054225745],"domain_scores_gemma":[0.99817544,0.00013423186,0.00042950944,0.00076334557,0.0002059044,0.0002915616],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015688098,0.0004200195,0.00055242237,0.0001364822,0.00017661146,0.000088673936,0.00041816576,0.00039448266,0.0010151124],"category_scores_gemma":[0.00009409723,0.0004366301,0.00026358556,0.0008641447,0.0005656597,0.00026905967,0.00008935207,0.0005123822,0.000022451773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043188345,0.00017917455,0.001457027,0.00030216883,0.0001418627,0.000001532927,0.000010604162,0.000004492667,0.99598175,0.0011761426,0.00061295804,0.000089097084],"study_design_scores_gemma":[0.00041513288,0.00006162126,0.00051819696,0.00008495897,0.00010733905,0.000022512484,0.00014611709,0.0062570428,0.98602587,0.0055334363,0.00035653176,0.00047122943],"about_ca_topic_score_codex":0.000093704184,"about_ca_topic_score_gemma":8.2510763e-7,"teacher_disagreement_score":0.012619417,"about_ca_system_score_codex":0.00010949205,"about_ca_system_score_gemma":0.00004438402,"threshold_uncertainty_score":0.9998981},"labels":[],"label_agreement":null},{"id":"W2329171243","doi":"10.1021/ac201299j","title":"Improvement of the Quantification Accuracy and Throughput for Phosphoproteome Analysis by a Pseudo Triplex Stable Isotope Dimethyl Labeling Approach","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Throughput; Isotope; Stable isotope ratio; Chromatography; Computational biology","score_opus":0.03048046316829694,"score_gpt":0.28061348795560165,"score_spread":0.2501330247873047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329171243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62990016,0.0003995252,0.35749793,0.00025210466,0.0000089997575,0.00087449996,0.00046331194,0.00011778957,0.010485663],"genre_scores_gemma":[0.95574766,0.00009035104,0.04154356,0.00004616281,0.000025662297,0.00048408422,0.00010545008,0.000024171644,0.001932905],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866503,0.0000045163397,0.00045150318,0.00046425642,0.00016742917,0.0002472348],"domain_scores_gemma":[0.99867344,0.00009094783,0.00030166542,0.0007219271,0.00013071802,0.00008130265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019324584,0.00018353589,0.00031522504,0.000016661703,0.00014111922,0.000025484811,0.00036345795,0.00016100072,0.0002128398],"category_scores_gemma":[0.00015308172,0.00014480042,0.00021284903,0.0004135277,0.00014897302,0.000075305674,0.00012642817,0.00019636005,5.090371e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044807108,0.0002323246,0.0010753215,0.0002705586,0.000280889,6.08977e-8,0.00006932745,0.000014624215,0.9956288,0.0011801175,0.00025343779,0.00094975915],"study_design_scores_gemma":[0.00027350144,0.000009787884,0.00002126226,0.000012831771,0.000484611,7.2790493e-7,0.00015609246,0.014964962,0.9803977,0.0023690362,0.0011337487,0.00017571525],"about_ca_topic_score_codex":0.000099745266,"about_ca_topic_score_gemma":7.6203395e-7,"teacher_disagreement_score":0.32584748,"about_ca_system_score_codex":0.000049767987,"about_ca_system_score_gemma":0.000034359888,"threshold_uncertainty_score":0.59047896},"labels":[],"label_agreement":null},{"id":"W2330002864","doi":"10.1021/pr100981r","title":"Characterization of Metaproteomics in Crop Rhizospheric Soil","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Metaproteomics; Microorganism; Rhizosphere; Biology; Crop; Soil water; Soil microbiology; Proteomics; Soil test; Spots; Bacteria; Botany; Agronomy; Biochemistry; Ecology; Gene","score_opus":0.03528083963059319,"score_gpt":0.3616322268442955,"score_spread":0.3263513872137023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330002864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894196,0.000030223213,0.00853011,0.00041128809,0.000027793003,0.00033843456,0.000010653351,0.000011523609,0.0012204029],"genre_scores_gemma":[0.9346084,0.00014885525,0.06435437,0.0000054917464,0.00020016015,0.00012673008,0.000004486699,0.000029167739,0.0005223682],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998276,0.000046328638,0.0006900472,0.00015296471,0.0005447612,0.00028988],"domain_scores_gemma":[0.9982537,0.000070619055,0.00048529243,0.0003464808,0.0007407299,0.00010320088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016945412,0.00010393322,0.00028296353,0.00022720807,0.00006992632,0.000033263444,0.0005137932,0.00017486794,0.00039970689],"category_scores_gemma":[0.0003439517,0.00009167926,0.00009480549,0.0005822697,0.00015878247,0.00023189491,0.00010675093,0.0016323057,0.0000054507673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008945222,0.00014890503,0.0010487931,0.00009843053,0.000010648673,0.000006921424,0.0000732611,0.000013267575,0.99474275,0.00084969006,0.000010388161,0.0029074992],"study_design_scores_gemma":[0.0003542622,0.000068072084,0.00062752207,0.00008690916,0.000004010087,0.000033494896,0.000032847347,0.00030231822,0.9894953,0.0068979543,0.0020119925,0.00008534358],"about_ca_topic_score_codex":0.000031509855,"about_ca_topic_score_gemma":0.000012900635,"teacher_disagreement_score":0.05582426,"about_ca_system_score_codex":0.00008119677,"about_ca_system_score_gemma":0.00024613354,"threshold_uncertainty_score":0.7091647},"labels":[],"label_agreement":null},{"id":"W2330098631","doi":"10.1021/ac301169q","title":"Microwave-Assisted Protein Solubilization for Mass Spectrometry-Based Shotgun Proteome Analysis","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Mass spectrometry; Proteome; Reagent; Homogenization (climate); Shotgun proteomics; Sample preparation; Trypsin; Tandem mass spectrometry; Solubilization; Proteomics; Biochemistry; Organic chemistry; Enzyme","score_opus":0.020360624034643855,"score_gpt":0.29092292189334185,"score_spread":0.270562297858698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330098631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16115919,0.000055081207,0.8287984,0.00024148471,0.000005980725,0.00046839402,0.00011231161,0.0002684539,0.008890697],"genre_scores_gemma":[0.7590762,0.0000017931264,0.23654242,0.00005059628,0.00020246005,0.0008846984,0.0005310868,0.00004217446,0.0026685859],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814767,0.000008242992,0.0004652783,0.0004975595,0.00024999073,0.0006312547],"domain_scores_gemma":[0.99855024,0.00008434211,0.00020737668,0.0007086276,0.0001589526,0.00029044933],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002128968,0.00029161997,0.00040075232,0.0000834971,0.00017144118,0.00005462251,0.0003163502,0.00030986886,0.0013739341],"category_scores_gemma":[0.00017354547,0.0002976244,0.00043216295,0.0009346403,0.00011132428,0.0001100949,0.000045394256,0.00027598304,0.000013827809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004396684,0.00023908752,0.0026399388,0.00026911308,0.00021900151,6.710656e-7,0.0000068042104,0.00005390138,0.9954884,0.0007944092,0.00010524893,0.00013944066],"study_design_scores_gemma":[0.00036035635,0.000010356056,0.00007045282,0.000025071036,0.0005540288,0.000002164071,0.000025446867,0.014567841,0.9803466,0.0014917451,0.0021686638,0.00037724414],"about_ca_topic_score_codex":0.000005932288,"about_ca_topic_score_gemma":0.000001352122,"teacher_disagreement_score":0.597917,"about_ca_system_score_codex":0.0002345311,"about_ca_system_score_gemma":0.000065448636,"threshold_uncertainty_score":0.9999476},"labels":[],"label_agreement":null},{"id":"W2330545498","doi":"10.1021/ac402802a","title":"In-Gel Microwave-Assisted Acid Hydrolysis of Proteins Combined with Liquid Chromatography Tandem Mass Spectrometry for Mapping Protein Sequences","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sanofi Pasteur; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Chromatography; Trifluoroacetic acid; Mass spectrometry; Gel electrophoresis; Tandem mass spectrometry; Bovine serum albumin; Two-dimensional gel electrophoresis; Proteomics; Biochemistry","score_opus":0.011141088012495996,"score_gpt":0.24381601261030986,"score_spread":0.23267492459781386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330545498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95429474,0.00006076383,0.037637975,0.0005274065,0.00000229009,0.00085109955,0.00003500119,0.00011693212,0.0064738174],"genre_scores_gemma":[0.8835109,0.000009153286,0.114062786,0.00003242736,0.00004527849,0.0016335745,0.000052984717,0.000036819212,0.0006161154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820095,0.000007369855,0.00057763985,0.00052734575,0.00023885058,0.00044786863],"domain_scores_gemma":[0.9987895,0.00005548891,0.00029658354,0.00054625387,0.00016306315,0.00014912125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110128356,0.0002978458,0.00050531625,0.000087983964,0.00008480572,0.000039373615,0.00039954062,0.00025444932,0.00045400535],"category_scores_gemma":[0.000058644866,0.00026690718,0.0002078985,0.0007358129,0.00026556588,0.00014408896,0.00005856963,0.00032350587,0.0000040953696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009052355,0.00017728253,0.001021734,0.0005089767,0.0000993736,0.0000042850493,0.000016622376,0.0000039473107,0.997586,0.00039396936,0.00003548258,0.00006181275],"study_design_scores_gemma":[0.0007028291,0.00010520201,0.00005668254,0.00022663006,0.00004428759,0.000010781369,0.00013741899,0.0010632284,0.9916913,0.0054750955,0.0001506553,0.0003359136],"about_ca_topic_score_codex":0.00004756189,"about_ca_topic_score_gemma":0.00000387344,"teacher_disagreement_score":0.07642481,"about_ca_system_score_codex":0.00010794128,"about_ca_system_score_gemma":0.000079339494,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W2330743671","doi":"10.1021/ac200857t","title":"Analytical Aspects of Proteomics: 2009–2010","year":2011,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Library science; China; Chinese academy of sciences; Web of science; Citation; Impact factor; Chemistry; Computer science; MEDLINE; Political science","score_opus":0.04803587738233232,"score_gpt":0.33841706725840126,"score_spread":0.2903811898760689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330743671","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000019874056,0.7544416,0.0011885753,0.000016223355,0.000015845519,0.000344972,0.0003288822,0.00019250065,0.24345149],"genre_scores_gemma":[0.000056551668,0.98304784,0.0071021128,0.000011709129,0.00033207718,0.00031417533,0.00029776877,0.00012886953,0.008708904],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969668,0.00001320943,0.0012784521,0.0008991349,0.00028116663,0.00056128734],"domain_scores_gemma":[0.9970881,0.00015004889,0.00069639826,0.0015629985,0.0001519869,0.00035051533],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015575055,0.00069197017,0.0021086016,0.00006498019,0.000068274014,0.000029050501,0.0010625622,0.001195146,0.004323784],"category_scores_gemma":[0.00020746137,0.0006172083,0.0011059328,0.00042409482,0.00042014074,0.000054963333,0.0003180564,0.0013710561,0.00011774845],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008884785,0.0025254372,0.000055163346,0.20502469,0.0029990426,0.00017416589,0.000043447388,0.0000026108996,0.0032258725,0.12474416,0.013125998,0.6479906],"study_design_scores_gemma":[0.00013398183,0.000011884131,8.187742e-8,0.0038772963,0.0013684902,0.00007306412,0.0000057648294,0.00015234234,0.018152678,0.0050368854,0.9704447,0.00074286415],"about_ca_topic_score_codex":0.000016530113,"about_ca_topic_score_gemma":4.3429645e-7,"teacher_disagreement_score":0.95731866,"about_ca_system_score_codex":0.00018165736,"about_ca_system_score_gemma":0.00041581105,"threshold_uncertainty_score":0.99962795},"labels":[],"label_agreement":null},{"id":"W2330777353","doi":"10.1158/1538-7445.am10-2256","title":"Abstract 2256: Identifying the molecular signature of melanoma metastasis via a personalized quantitative proteomics approach","year":2010,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Quantitative proteomics; Proteomics; Melanoma; Metastasis; Proteome; Cancer research; Cancer; Biology; Epithelial–mesenchymal transition; Computational biology; Bioinformatics; Genetics; Gene","score_opus":0.07848430003314107,"score_gpt":0.4206133860303326,"score_spread":0.34212908599719155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330777353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9172199,0.0016178382,0.074253015,0.0005839273,0.000023576224,0.0010205399,0.00017383437,0.000067673136,0.0050397203],"genre_scores_gemma":[0.90365183,0.00014832603,0.09375885,0.000018695102,0.000058501155,0.002018984,0.000025552528,0.00004078221,0.00027847444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984436,0.000045784174,0.0002474745,0.0003728749,0.00052883127,0.0003614092],"domain_scores_gemma":[0.99856544,0.00017763588,0.0001470156,0.00061002944,0.00041835403,0.0000815301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007975294,0.00014750662,0.00020531224,0.00007856515,0.00026889486,0.00005589065,0.0007110092,0.00016888723,0.00054271566],"category_scores_gemma":[0.00013390183,0.00011078964,0.00012641834,0.00040274073,0.0005182864,0.00009057746,0.00016399709,0.0015939262,0.0000065355352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006990588,0.000060023693,0.00003690952,0.00018332528,0.00006518135,0.000002530417,0.0004273366,0.000031339856,0.96850055,0.029096067,0.00012631729,0.0014004802],"study_design_scores_gemma":[0.00022106928,0.000012535032,0.000031521296,0.000038078582,0.000017245105,0.0000042933,0.00060012576,0.0003490105,0.9845872,0.01150536,0.0025038735,0.0001296693],"about_ca_topic_score_codex":0.0002683686,"about_ca_topic_score_gemma":0.000014504543,"teacher_disagreement_score":0.019505836,"about_ca_system_score_codex":0.00007113883,"about_ca_system_score_gemma":0.00016239296,"threshold_uncertainty_score":0.69249046},"labels":[],"label_agreement":null},{"id":"W2331665610","doi":"10.1021/pr5007685","title":"Proteomic Analysis of Human Fetal Atria and Ventricle","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Department of Medical Biophysics, University of Toronto; Canadian Institutes of Health Research; Canada Research Chairs; U.S. Department of Energy; Heart and Stroke Foundation of Canada; University of Toronto","keywords":"MYH7; Ventricle; Myosin; Myosin light-chain kinase; Atrial natriuretic peptide; Proteome; Cardiac Ventricle; MYH6; Gene isoform; Chemistry; Biology; Internal medicine; Biochemistry; Endocrinology; Medicine; Gene","score_opus":0.047707158422339,"score_gpt":0.4069615160005141,"score_spread":0.35925435757817514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331665610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905308,0.00009504864,0.0078032105,0.00023967277,0.0000042422494,0.0002646966,0.000008553434,0.000011090498,0.0010426877],"genre_scores_gemma":[0.9783339,0.000068160356,0.02112138,0.0000027800193,0.00012289353,0.00004994353,0.000002708406,0.00001467293,0.0002835957],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998432,0.00008138694,0.00053518504,0.00016237739,0.00053987856,0.00024916418],"domain_scores_gemma":[0.9985438,0.000107105625,0.0004113509,0.00030651898,0.0004974418,0.0001337766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001970218,0.000089894114,0.00036640995,0.00056736585,0.00015728745,0.000035191373,0.00034507687,0.0000953169,0.00020597389],"category_scores_gemma":[0.00025683254,0.000076284006,0.00017380538,0.0008582806,0.00017368075,0.00010787311,0.00013063724,0.0005926916,0.0000022051481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057952584,0.00008563658,0.005259814,0.000094881034,0.00019251453,0.0000030476958,0.000058751724,0.000027162807,0.9897542,0.0016075092,0.000054385488,0.0028041706],"study_design_scores_gemma":[0.00071003276,0.00033837263,0.003538629,0.00009233112,0.00018091773,0.000023977034,0.00006268438,0.0015410186,0.9759338,0.016512485,0.0009334628,0.0001322782],"about_ca_topic_score_codex":0.000031106814,"about_ca_topic_score_gemma":0.0000018003518,"teacher_disagreement_score":0.014904976,"about_ca_system_score_codex":0.000079051424,"about_ca_system_score_gemma":0.000058518337,"threshold_uncertainty_score":0.31107715},"labels":[],"label_agreement":null},{"id":"W2333593079","doi":"10.1021/pr400198e","title":"Displacement of N/Q-rich Peptides on TiO<sub>2</sub>Beads Enhances the Depth and Coverage of Yeast Phosphoproteome Analyses","year":2013,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Phosphorylation; Phosphopeptide; Yeast; Chemistry; Stable isotope labeling by amino acids in cell culture; Asparagine; Peptide; Biochemistry; Amino acid; Protein phosphorylation; Proteomics; Chromatography; Protein kinase A","score_opus":0.05835220551411394,"score_gpt":0.38893737203165807,"score_spread":0.3305851665175441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333593079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993794,0.00038290716,0.0030780805,0.0005454856,0.000009037558,0.0007167529,0.000018268394,0.000008244578,0.0014471872],"genre_scores_gemma":[0.9938512,0.0014920293,0.004047261,0.000011326311,0.00009302096,0.00029355497,0.0000020268733,0.00002162047,0.0001879626],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99782044,0.00008843219,0.0006701254,0.00019742848,0.0009162549,0.00030729652],"domain_scores_gemma":[0.99775153,0.00026795486,0.00063961995,0.0004020837,0.0008203335,0.00011848714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010974652,0.00015543718,0.0003535054,0.00019864817,0.00016197054,0.000057444595,0.00048584424,0.000095114134,0.00012646198],"category_scores_gemma":[0.0002617686,0.00009970181,0.00012136306,0.0004174066,0.00036007466,0.00019527263,0.0001659305,0.0007051481,0.000008710153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012579456,0.00016830115,0.0005722207,0.00019231105,0.00007499521,0.0000020685025,0.00012806935,0.000045601755,0.9919248,0.00032864118,0.00023503778,0.006202118],"study_design_scores_gemma":[0.0003130812,0.00036138674,0.0016726917,0.00031847495,0.000017877497,0.000015129411,0.00035502145,0.00007481173,0.9919635,0.0046512224,0.00016123857,0.000095569754],"about_ca_topic_score_codex":0.000093433824,"about_ca_topic_score_gemma":0.0000095930955,"teacher_disagreement_score":0.006106548,"about_ca_system_score_codex":0.00012463673,"about_ca_system_score_gemma":0.00012880936,"threshold_uncertainty_score":0.40657216},"labels":[],"label_agreement":null},{"id":"W2333768537","doi":"10.1021/pr100795z","title":"Modeling Contaminants in AP-MS/MS Experiments","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Contamination; False positive paradox; Context (archaeology); Tandem mass spectrometry; Computer science; Identification (biology); False discovery rate; Chromatography; False positives and false negatives; Chemistry; Mass spectrometry; Artificial intelligence; Biology","score_opus":0.08629879655477381,"score_gpt":0.43743766671128403,"score_spread":0.35113887015651024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333768537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870542,0.00011219794,0.007723855,0.00030022094,0.000030507937,0.00030463564,0.0000037666318,0.000015130808,0.0044554486],"genre_scores_gemma":[0.9559324,0.00010805339,0.04302265,0.000006689875,0.00024239722,0.00016932136,0.0000010785734,0.000025211131,0.00049221586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982657,0.000033310633,0.0005160651,0.00017810048,0.00060442206,0.00040239637],"domain_scores_gemma":[0.99888384,0.00006070259,0.00014016248,0.00032764947,0.0004340934,0.0001535217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014831141,0.0001052673,0.00021662215,0.00025750988,0.00012231927,0.000052970398,0.00054946984,0.00016165122,0.0003839982],"category_scores_gemma":[0.00024782988,0.00009144194,0.00007194125,0.0002542902,0.0000833475,0.00020850053,0.00014245446,0.0020119257,0.0000154987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006839792,0.00014388932,0.000729211,0.000034020704,0.000007060538,0.000027537439,0.00014166094,0.0000753871,0.99666953,0.00045680572,0.00004538259,0.0016011166],"study_design_scores_gemma":[0.0007298419,0.00007363693,0.000060295082,0.00017427126,0.0000021584888,0.00007487181,0.00020377191,0.007513861,0.97864765,0.010075317,0.0023109133,0.00013342456],"about_ca_topic_score_codex":0.00009800235,"about_ca_topic_score_gemma":0.000022033302,"teacher_disagreement_score":0.035298795,"about_ca_system_score_codex":0.00013195603,"about_ca_system_score_gemma":0.00016655511,"threshold_uncertainty_score":0.8740928},"labels":[],"label_agreement":null},{"id":"W2335770517","doi":"10.1021/pr400738a","title":"Dual LC–MS Platform for High-Throughput Proteome Analysis","year":2013,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Proteome; Throughput; Chemistry; Column (typography); Retention time; Analytical Chemistry (journal); Computer science; Biochemistry","score_opus":0.0699910467914675,"score_gpt":0.39825118511440694,"score_spread":0.32826013832293943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335770517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7960625,0.00021619056,0.19272645,0.0041680727,0.000041131116,0.003556579,0.000093980445,0.000094983174,0.0030400988],"genre_scores_gemma":[0.7042478,0.00013356243,0.28739,0.000025284815,0.00083956163,0.0031079217,0.000021781558,0.000061637686,0.0041724886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970117,0.000037538077,0.00088254595,0.00034237414,0.0010026769,0.0007231698],"domain_scores_gemma":[0.9964448,0.00029179637,0.00053154497,0.00059707765,0.0018403794,0.00029439],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017022985,0.00021058349,0.00053167966,0.0006151687,0.0003706859,0.0001963904,0.0006974918,0.00024356037,0.0019152809],"category_scores_gemma":[0.00040621,0.00016931022,0.00037445378,0.0011541855,0.00019387944,0.0005803344,0.00019705384,0.001172057,0.00005807353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024288613,0.0003867743,0.0005660098,0.00036306426,0.0008155668,0.000017332099,0.00018223899,0.00015492445,0.9787454,0.006007087,0.0054578176,0.007060876],"study_design_scores_gemma":[0.0012436789,0.00051934336,0.00041037943,0.00012172812,0.000154177,0.00006560562,0.0002475868,0.0010621855,0.82446194,0.15458742,0.01675471,0.00037125556],"about_ca_topic_score_codex":0.00017728067,"about_ca_topic_score_gemma":0.00000763203,"teacher_disagreement_score":0.15428348,"about_ca_system_score_codex":0.0003345907,"about_ca_system_score_gemma":0.0002447882,"threshold_uncertainty_score":0.9989971},"labels":[],"label_agreement":null},{"id":"W2335848240","doi":"10.1039/9781849734363-00271","title":"Discovery and Validation Case Studies, Recommendations: A Pipeline that Integrates the Discovery and Verification Studies of Urinary Protein Biomarkers Reveals Candidate Markers for Bladder Cancer","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Biomarker discovery; Biomarker; Bladder cancer; Mass spectrometry; Cancer; Computational biology; Proteomics; Cancer biomarkers; Medicine; Internal medicine; Chemistry; Biology; Chromatography; Gene","score_opus":0.05372447051847075,"score_gpt":0.338869154083354,"score_spread":0.28514468356488326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335848240","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44197038,0.23766887,0.12687889,0.05110764,0.00087925524,0.05394732,0.031644817,0.0012589982,0.05464383],"genre_scores_gemma":[0.16307028,0.16178292,0.043104764,0.0002489632,0.0002975375,0.01659601,0.00173635,0.0002527973,0.6129104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984052,0.000022643995,0.00066821446,0.0005841891,0.00012917345,0.00019056114],"domain_scores_gemma":[0.997813,0.000459654,0.00084416947,0.0005282572,0.00031201038,0.000042943575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033294677,0.00042976486,0.0005213956,0.000087039756,0.0003266227,0.000101724865,0.00014662654,0.00019929164,0.00006787304],"category_scores_gemma":[0.0001180462,0.00029256966,0.00009801107,0.000044265307,0.000491032,0.0005144575,0.00020175839,0.00022152462,6.095489e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029325727,0.0006199993,0.0008492562,0.019643454,0.019142622,0.00007198976,0.0046678185,0.000029858336,0.19279286,0.3429274,0.18699233,0.22932982],"study_design_scores_gemma":[0.0035323387,0.00060325273,0.000027552931,0.011030116,0.003825576,0.00071941933,0.030898316,0.0011052145,0.3940906,0.41936442,0.13068601,0.0041171717],"about_ca_topic_score_codex":0.00023819838,"about_ca_topic_score_gemma":0.00009617497,"teacher_disagreement_score":0.5582666,"about_ca_system_score_codex":0.00017260911,"about_ca_system_score_gemma":0.00006246853,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W2336550165","doi":"10.1021/acs.analchem.5b04230","title":"Bottom-Up Proteomics (2013–2015): Keeping up in the Era of Systems Biology","year":2015,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Citation; Library science; Altmetrics; Phone; Computer science; World Wide Web; Philosophy","score_opus":0.05363246845834079,"score_gpt":0.3755753914210339,"score_spread":0.3219429229626931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336550165","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014186348,0.98793,0.0012403813,0.00012546685,0.000049780152,0.00079318223,0.0002783555,0.00009262005,0.009348368],"genre_scores_gemma":[0.0005829001,0.9942253,0.0016355864,0.000023022703,0.00038491678,0.0011142236,0.0005638179,0.00007527173,0.0013949575],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746865,0.000050720755,0.0011741854,0.00061909086,0.00024033163,0.00044701126],"domain_scores_gemma":[0.9975119,0.00025638664,0.00065888144,0.0012899123,0.00014989205,0.0001329875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005695495,0.00047906846,0.0016894923,0.000035710724,0.000053327305,0.000039524813,0.0011908858,0.0010265374,0.00009905252],"category_scores_gemma":[0.0001841103,0.00035196755,0.00040926086,0.00038216924,0.00025914956,0.000038410537,0.00020850412,0.0019289898,0.000021155276],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013273628,0.0015291662,0.0001916731,0.33440092,0.0018579963,0.00011174284,0.000480633,0.000077393546,0.009049989,0.038822643,0.03571414,0.577631],"study_design_scores_gemma":[0.00019323702,0.000009333566,3.036497e-8,0.004675394,0.00036706062,0.000081891725,0.000076712364,0.0004971649,0.0016235043,0.0016040277,0.9903795,0.00049211096],"about_ca_topic_score_codex":0.00008719689,"about_ca_topic_score_gemma":0.0000010650568,"teacher_disagreement_score":0.9546654,"about_ca_system_score_codex":0.00025081335,"about_ca_system_score_gemma":0.00039480557,"threshold_uncertainty_score":0.99989325},"labels":[],"label_agreement":null},{"id":"W2339886882","doi":"10.1016/b978-0-12-394446-7.00002-9","title":"Proteomic and Mass Spectrometry Technologies for Biomarker Discovery","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Mass spectrometry; Biomarker; Proteomics; Computational biology; Chemistry; Data science; Chromatography; Computer science; Biology; Biochemistry","score_opus":0.013782047253015661,"score_gpt":0.2524183951344377,"score_spread":0.23863634788142205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339886882","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031989187,0.0010398378,0.005494164,0.00019311582,0.00002849784,0.0018642857,0.00033168812,0.0006568287,0.9900717],"genre_scores_gemma":[0.00065929734,0.0004987171,0.12170874,0.0000296159,0.000097014134,0.0023751922,0.000064289205,0.0001384253,0.8744287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851334,0.0000018757005,0.00038065735,0.0006533939,0.00012818034,0.00032253747],"domain_scores_gemma":[0.9987202,0.00005243042,0.00032248723,0.00079241913,0.000060173887,0.000052242664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000068775254,0.00046774303,0.00047115164,0.00013379248,0.00014118393,0.000109523644,0.0003642845,0.00066283497,0.00014700335],"category_scores_gemma":[0.000021118918,0.00042917638,0.0001882509,0.000012305509,0.00028688082,0.00008416947,0.00021192746,0.0004637383,0.000028973387],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018547751,0.000006303428,0.000005471289,0.0004104948,0.000095104995,0.0000021794756,0.0000066032776,3.6076067e-8,0.13960508,0.042541083,0.00022585016,0.81708324],"study_design_scores_gemma":[0.00015972744,0.000020510148,6.7768224e-7,0.0002442847,0.000057382855,0.000011036367,0.0000071254485,0.00001253351,0.07851627,0.36060694,0.559927,0.00043651104],"about_ca_topic_score_codex":2.554102e-7,"about_ca_topic_score_gemma":4.2761684e-7,"teacher_disagreement_score":0.81664675,"about_ca_system_score_codex":0.00011491525,"about_ca_system_score_gemma":0.000044204076,"threshold_uncertainty_score":0.999816},"labels":[],"label_agreement":null},{"id":"W2341719468","doi":"10.1039/9781849734363-00334","title":"Discovery and Validation Case Studies, Recommendations: Bottlenecks in Biomarker Discovery and Validation by Using Proteomic Technologies","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Biomarker; Risk analysis (engineering); Computer science; Government (linguistics); Data science; Plan (archaeology); Bench to bedside; Engineering; Medicine; Proteomics; Biology; Medical physics","score_opus":0.04192069942056894,"score_gpt":0.3133877067613484,"score_spread":0.2714670073407795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341719468","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.782231,0.0146463895,0.11204806,0.0047081937,0.00021879326,0.009442545,0.0031241698,0.0023233844,0.071257494],"genre_scores_gemma":[0.36075824,0.062806934,0.19217978,0.00015147659,0.00018172,0.004129183,0.003675326,0.000521672,0.37559566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982671,0.00001215096,0.00062338915,0.00073918264,0.00012509727,0.00023308748],"domain_scores_gemma":[0.99879485,0.00012535688,0.00045982932,0.0005062498,0.00007973734,0.000033970457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015723894,0.00045477354,0.00044173672,0.00020311085,0.00021235686,0.00025372417,0.00013240609,0.00053691305,0.000072882984],"category_scores_gemma":[0.000066646564,0.00042808786,0.000052975643,0.000061889536,0.0002573325,0.0010851776,0.00036372239,0.00041124207,0.0000034992704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014280243,0.0003069535,0.0011727687,0.0025379006,0.0008471064,0.00016433277,0.00036075446,0.00003084417,0.6310931,0.13116607,0.012237737,0.21993963],"study_design_scores_gemma":[0.001440915,0.000080925136,0.0000043699642,0.0023869302,0.000364186,0.0012358204,0.0018040843,0.0013298778,0.65012926,0.3089836,0.029482521,0.0027575484],"about_ca_topic_score_codex":0.00014133724,"about_ca_topic_score_gemma":0.000018701241,"teacher_disagreement_score":0.42147273,"about_ca_system_score_codex":0.00030284587,"about_ca_system_score_gemma":0.000040253548,"threshold_uncertainty_score":0.9998171},"labels":[],"label_agreement":null},{"id":"W2342570428","doi":"10.1074/mcp.o115.055020","title":"Proteomics in India: A Report on a Brainstorming Meeting at Hyderabad, India","year":2016,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Tata Institute of Fundamental Research","keywords":"Proteomics; Attendance; Brainstorming; Identification (biology); Biotechnology; Data science; Psychology; Computer science; Political science; Biology; Ecology; Biochemistry; Artificial intelligence","score_opus":0.006778636074183794,"score_gpt":0.23361433015659822,"score_spread":0.2268356940824144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342570428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91809916,0.00010083415,0.07205829,0.00040308863,0.000038860715,0.0015518216,0.0000356504,0.00028607104,0.007426221],"genre_scores_gemma":[0.8760365,0.000050658084,0.11984623,0.00022070661,0.000105685824,0.002067079,0.0000750825,0.00018357717,0.0014144495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99675244,0.000056788565,0.0008872219,0.0010838377,0.0004332583,0.0007864629],"domain_scores_gemma":[0.99773633,0.00007342802,0.000587833,0.0013109379,0.0000855576,0.0002059184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005571783,0.0005099019,0.0004643625,0.00021694686,0.0002490964,0.00005607033,0.00050970935,0.00047756778,0.00009139294],"category_scores_gemma":[0.0003278989,0.00046052533,0.00022736433,0.0003246843,0.00013830765,0.00014641124,0.00039996486,0.0005939434,0.00006791733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007786964,0.00012603585,0.0027824622,0.00006757886,0.000026208163,0.0008865902,0.00008799374,0.000051141848,0.99233013,0.002054167,0.000019303,0.0014905272],"study_design_scores_gemma":[0.0009864707,0.00004544123,0.000098389835,0.0003908461,0.000016055857,0.00020177811,0.000017689075,0.00014460017,0.99117327,0.004206885,0.0020891787,0.00062939146],"about_ca_topic_score_codex":0.00003492258,"about_ca_topic_score_gemma":0.000005699887,"teacher_disagreement_score":0.047787942,"about_ca_system_score_codex":0.0009338703,"about_ca_system_score_gemma":0.00015284453,"threshold_uncertainty_score":0.99978465},"labels":[],"label_agreement":null},{"id":"W2342644652","doi":"10.1016/j.jprot.2016.04.042","title":"Data Independent Acquisition analysis in ProHits 4.0","year":2016,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Institute for Research in Immunology and Cancer; Sinai Health System; Université de Montréal; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Genome Canada; Canadian Institutes of Health Research; National Institutes of Health; Government of Canada; Ministry of Education - Singapore","keywords":"Computer science; Data science","score_opus":0.0265448720886555,"score_gpt":0.3123517120773499,"score_spread":0.2858068399886944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342644652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54291934,0.000053479547,0.45544004,0.00084996724,0.00001534181,0.00014166159,0.0001224648,0.000018177245,0.00043952308],"genre_scores_gemma":[0.81017494,0.00017734201,0.18926336,0.000028304607,0.00013859647,0.000022845661,0.000014710071,0.000013262693,0.00016662732],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989337,0.00001308197,0.00052537094,0.00018011054,0.00020180445,0.00014598141],"domain_scores_gemma":[0.9986862,0.000036980113,0.0005438805,0.00055060704,0.00011806668,0.00006427864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041496067,0.00009436621,0.00022630235,0.00018943076,0.000028816547,0.000020691128,0.0006095296,0.00009979837,0.00018998282],"category_scores_gemma":[0.00007196114,0.00006497952,0.000084355066,0.0002833745,0.000028369584,0.00034533424,0.00015400398,0.00020574237,0.000004660753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011288831,0.00015071819,0.02166156,0.000021830576,0.00015801017,0.0000193812,0.00003314233,0.000108819586,0.9700032,0.0008288251,0.00016261356,0.0067390073],"study_design_scores_gemma":[0.0018973948,0.000075981596,0.004620173,0.0003029609,0.00035747746,0.00011096985,0.00007972395,0.0011694191,0.95634216,0.030369328,0.004273228,0.00040116988],"about_ca_topic_score_codex":0.00000520004,"about_ca_topic_score_gemma":0.000018474575,"teacher_disagreement_score":0.26725563,"about_ca_system_score_codex":0.00015499601,"about_ca_system_score_gemma":0.00008056907,"threshold_uncertainty_score":0.2649788},"labels":[],"label_agreement":null},{"id":"W2343022240","doi":"10.1002/pmic.201500499","title":"SAINTq: Scoring protein‐protein interactions in affinity purification – mass spectrometry experiments with fragment or peptide intensity data","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Ontario Genomics Institute","keywords":"Interactome; Fragment (logic); Computer science; Scoring algorithm; Data mining; Computational biology; Artificial intelligence; Chemistry; Algorithm; Biology","score_opus":0.05298087605866401,"score_gpt":0.31530626000655465,"score_spread":0.2623253839478906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343022240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64483136,0.000015437416,0.3516292,0.000652958,0.000017426823,0.0014577402,0.000099191,0.00020758987,0.0010891242],"genre_scores_gemma":[0.6000815,0.000023406956,0.396662,0.000019609088,0.00008373409,0.001847807,0.0000430343,0.000042472937,0.0011964089],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99797946,0.000024818506,0.0004856921,0.0008338405,0.0002497089,0.00042647187],"domain_scores_gemma":[0.9976797,0.000042166546,0.00033882595,0.0016993628,0.00011593721,0.000123978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027213068,0.00030490395,0.00029403294,0.0001363566,0.00016444505,0.00006839459,0.0007891643,0.00010367451,0.00032139377],"category_scores_gemma":[0.00018537616,0.00021798063,0.000040830586,0.00030384524,0.00011009998,0.0005618417,0.0003825453,0.00044643573,0.00003445521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043021035,0.00020926932,0.0013576647,0.000056326946,0.00002423619,0.0000075005946,0.000045568202,0.000005504945,0.9951509,0.0010765991,0.000023170967,0.001613043],"study_design_scores_gemma":[0.00071472704,0.000051982577,0.0002186632,0.0005758107,0.000009560135,0.000015674636,0.00013974657,0.00016877832,0.9926073,0.0034663696,0.0016625236,0.00036888794],"about_ca_topic_score_codex":0.0001397823,"about_ca_topic_score_gemma":0.00008949342,"teacher_disagreement_score":0.045032803,"about_ca_system_score_codex":0.0006513447,"about_ca_system_score_gemma":0.00014709192,"threshold_uncertainty_score":0.8888992},"labels":[],"label_agreement":null},{"id":"W2344455108","doi":"10.1007/978-1-59745-281-6_1","title":"Two-Dimensional Electrophoresis: An Overview","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Isoelectric point; Proteome; Chemistry; Isoelectric focusing; Electrophoresis; Two-dimensional gel electrophoresis; Gel electrophoresis; Chromatography; Molecular mass; Fractionation; Gel electrophoresis of nucleic acids; Mass spectrometry; Gel electrophoresis of proteins; Immobilized pH gradient; Proteomics; Biochemistry; Polyacrylamide gel electrophoresis; Enzyme","score_opus":0.03169583531837501,"score_gpt":0.44052630405811083,"score_spread":0.40883046873973583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344455108","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046495676,0.0034098914,0.94641507,0.00034499128,0.000013563944,0.0001183355,0.0000059661224,0.00011863128,0.0030778905],"genre_scores_gemma":[0.010537379,0.00013439413,0.988163,0.0009751499,0.000029277546,0.00007183691,0.00003573337,0.000013053052,0.000040195824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900186,0.00015883979,0.0002119271,0.0003406202,0.00003888804,0.0002478695],"domain_scores_gemma":[0.9994044,0.00004452722,0.000061273204,0.00041280568,0.000025694822,0.000051311166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031235567,0.00012758888,0.00019104616,0.000051122828,0.00003633709,0.0000058238124,0.00022711669,0.0001441911,0.00013324847],"category_scores_gemma":[0.000055980247,0.00012373565,0.00005762575,0.00014788353,0.000043282922,0.00001897642,0.000039279847,0.00023397058,0.000003074127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010517597,0.00004928363,0.000038784994,0.0000027815477,0.0000034714178,0.0000053631625,0.000004086275,0.00006246014,0.88522816,0.07711468,0.0000053420695,0.037475053],"study_design_scores_gemma":[0.00013038715,0.000044459684,0.000017759643,0.000006762038,0.0000041382095,0.000010327453,0.0000017099569,0.00032944485,0.67541164,0.32213587,0.0017996514,0.000107830216],"about_ca_topic_score_codex":0.000014853885,"about_ca_topic_score_gemma":0.0000018292376,"teacher_disagreement_score":0.24502118,"about_ca_system_score_codex":0.000041021533,"about_ca_system_score_gemma":0.000023107907,"threshold_uncertainty_score":0.5045793},"labels":[],"label_agreement":null},{"id":"W2345627546","doi":"10.1101/051508","title":"System-wide quantitative proteomics of the metabolic syndrome in mice: genotypic and dietary effects","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"European Commission","keywords":"Compendium; Proteomics; Proteome; Systems biology; Metabolomics; Biology; Computational biology; Mass spectrometry; Bioinformatics; Biochemistry; Chemistry; Gene; Chromatography","score_opus":0.010147421387083752,"score_gpt":0.23232109276925267,"score_spread":0.22217367138216892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345627546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98834133,0.0033221638,0.005939841,0.00014427098,0.00013224347,0.0015271833,0.00036311834,0.00020780553,0.000022054388],"genre_scores_gemma":[0.96222734,0.00045757525,0.03567986,0.000026473668,0.00004831872,0.0014545803,2.0935789e-7,0.00009997453,0.0000056903277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99797267,0.00008261156,0.00059885904,0.0007579438,0.00021806247,0.00036987464],"domain_scores_gemma":[0.99760693,0.00019119648,0.00069295237,0.0012169926,0.00018493195,0.00010700915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003106551,0.00045641846,0.0007187437,0.00012766299,0.000112053116,0.000040480165,0.00067489984,0.0004823101,0.0000048507663],"category_scores_gemma":[0.00019349912,0.00035973947,0.00014028947,0.00028107472,0.00022337124,0.000088398534,0.0007077362,0.0007082523,0.0000053532694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002494406,0.0000558104,0.007495555,0.0023090865,0.00009384043,0.00001196062,0.0000097793445,0.000013674866,0.9802658,0.009711669,0.00000604958,0.000001818435],"study_design_scores_gemma":[0.00036519743,0.000015480362,0.042084657,0.002399563,0.0001082818,8.2956035e-8,0.000003897993,0.00013372158,0.9541371,0.00012392353,0.00017825303,0.00044986687],"about_ca_topic_score_codex":0.00005327734,"about_ca_topic_score_gemma":0.0000026247872,"teacher_disagreement_score":0.0345891,"about_ca_system_score_codex":0.00020317765,"about_ca_system_score_gemma":0.0002334372,"threshold_uncertainty_score":0.99988544},"labels":[],"label_agreement":null},{"id":"W2347007040","doi":"10.1186/s12014-016-9111-3","title":"Identification of brain-enriched proteins in the cerebrospinal fluid proteome by LC-MS/MS profiling and mining of the Human Protein Atlas","year":2016,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Cerebrospinal fluid; Proteome; Human Protein Atlas; Proteomics; Cerebrospinal fluid proteins; Human brain; Human proteome project; Biomarker discovery; Pathology; 14-3-3 protein; Central nervous system; Biology; Computational biology; Bioinformatics; Medicine; Cell biology; Biochemistry; Neuroscience; Gene","score_opus":0.027986754097918818,"score_gpt":0.334362353300586,"score_spread":0.30637559920266716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347007040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97833043,0.000048871072,0.014234429,0.0024587188,0.000016720891,0.0045022895,0.0000985844,0.000050637867,0.00025931696],"genre_scores_gemma":[0.9767076,0.00002217754,0.01984776,0.000059156122,0.000102683734,0.002737108,0.0000146329085,0.000041767973,0.00046711418],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99686074,0.00016994294,0.0017483128,0.0005738599,0.00033212162,0.00031501337],"domain_scores_gemma":[0.99714625,0.00030559787,0.001253729,0.0010676603,0.00016012767,0.000066607616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018027222,0.00025106914,0.0004285675,0.0000435629,0.00020168758,0.00003287507,0.0009116031,0.00032234582,0.000024305265],"category_scores_gemma":[0.0012576602,0.00014569449,0.00017885775,0.00028515642,0.0007450068,0.00014834975,0.00026211917,0.0005030677,0.0000020849045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057887206,0.00024236651,0.009082227,0.00021238203,0.000014386781,2.7947462e-7,0.00010195552,0.0000019150111,0.9855857,0.0036397493,0.000080764825,0.0009804117],"study_design_scores_gemma":[0.00095307344,0.000134735,0.0025128743,0.00036195337,0.000019305502,0.0000033426443,0.000083921834,0.00013551726,0.97852826,0.01667055,0.00037581864,0.00022065733],"about_ca_topic_score_codex":0.000030878182,"about_ca_topic_score_gemma":0.000009959405,"teacher_disagreement_score":0.013030799,"about_ca_system_score_codex":0.00006196503,"about_ca_system_score_gemma":0.00010257324,"threshold_uncertainty_score":0.59412485},"labels":[],"label_agreement":null},{"id":"W2357032787","doi":"","title":"Comparison of Methods for the Extraction and Concentration Determination of Total Protein in Maize","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Acetone; Chromatography; Protein purification; Chemistry; Bradford protein assay; Phosphate buffered saline; Tris; Plant protein; Biochemistry; Food science","score_opus":0.026462603190823025,"score_gpt":0.4166201427869894,"score_spread":0.3901575395961664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357032787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60143536,0.000017995142,0.39801118,0.000053511052,0.0000076755605,0.00028794107,0.000004411132,0.000007523607,0.00017439575],"genre_scores_gemma":[0.68228275,0.0000020982886,0.31753182,8.756874e-7,0.000008737885,0.00013818264,0.000004282403,0.0000026292369,0.000028626411],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971724,0.0000058362575,0.00015169359,0.00006201825,0.000023422132,0.000039775314],"domain_scores_gemma":[0.999616,0.00011325965,0.00013730291,0.000088603425,0.000037705504,0.0000071313007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012955196,0.00003223077,0.00006889917,0.000008357776,0.000022368666,0.0000033896683,0.00003138259,0.000051215855,0.000006384292],"category_scores_gemma":[0.00005784999,0.000026770029,0.000014253827,0.000031911342,0.000037026595,0.000038914204,0.0000074337386,0.00008136862,3.4987163e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018583429,0.000022961241,0.0011380216,0.00003062247,9.576382e-7,3.9098405e-9,0.000077095094,0.0000030143585,0.9633583,0.0030041756,3.5882385e-7,0.03234595],"study_design_scores_gemma":[0.00015574391,0.00001122735,0.002395385,0.00000961861,0.0000049859996,6.2823176e-7,0.00007727089,0.023974586,0.96933633,0.0038733375,0.00013415405,0.000026760496],"about_ca_topic_score_codex":0.000015178551,"about_ca_topic_score_gemma":0.000011557455,"teacher_disagreement_score":0.08084736,"about_ca_system_score_codex":0.0000066010375,"about_ca_system_score_gemma":0.000009658374,"threshold_uncertainty_score":0.10916501},"labels":[],"label_agreement":null},{"id":"W2385693881","doi":"10.1039/9781782626985-00316","title":"MRM-based Protein Quantification with Labeled Standards for Biomarker Discovery, Verification, and Validation in Human Plasma","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Biomarker discovery; Biomarker; Computational biology; Selected reaction monitoring; Proteomics; Computer science; Mass spectrometry; Chemistry; Biology; Chromatography; Tandem mass spectrometry; Biochemistry","score_opus":0.022177852671959424,"score_gpt":0.28849881009814055,"score_spread":0.2663209574261811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385693881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018999495,0.000037393424,0.90738183,0.00046174545,0.000009153281,0.0028992153,0.0009652767,0.00027560434,0.06897026],"genre_scores_gemma":[0.6061694,0.000044450044,0.08480548,0.00004435336,0.00009281485,0.0047142776,0.005784532,0.00024620566,0.2980985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99855614,0.0000066587036,0.00043898032,0.00060220103,0.00023246673,0.00016353998],"domain_scores_gemma":[0.9986301,0.00005523053,0.00040954744,0.0005991571,0.0002583041,0.00004764898],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025723863,0.00030580838,0.00029333206,0.00011647778,0.00014885746,0.00010202514,0.0001590778,0.00032306576,0.00012359252],"category_scores_gemma":[0.000023693361,0.00027952372,0.000050007602,0.000037573842,0.0001184894,0.000103395825,0.000021571104,0.00017437329,0.0000018229846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025283446,0.00004461771,0.000053805506,0.00054701953,0.00003066674,3.3149635e-7,0.000012543503,0.000030251382,0.29334182,0.7009364,0.00030944913,0.0044402536],"study_design_scores_gemma":[0.0014597133,0.0000907962,0.000011497762,0.00059610716,0.00005739138,0.0000014766306,0.000008043128,0.0017720211,0.7933146,0.028546516,0.17348872,0.0006531162],"about_ca_topic_score_codex":0.000021364416,"about_ca_topic_score_gemma":0.00007009237,"teacher_disagreement_score":0.82257634,"about_ca_system_score_codex":0.00018960438,"about_ca_system_score_gemma":0.00012896859,"threshold_uncertainty_score":0.99996567},"labels":[],"label_agreement":null},{"id":"W2395825039","doi":"10.1021/acs.jproteome.5b00579","title":"The Human Dental Pulp Proteome and N-Terminome: Levering the Unexplored Potential of Semitryptic Peptides Enriched by TAILS to Identify Missing Proteins in the Human Proteome Project in Underexplored Tissues","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Michael Smith Health Research BC; Canada Foundation for Innovation","keywords":"Proteome; Human proteome project; Proteomics; Biology; Computational biology; Biochemistry; Chemistry; Gene","score_opus":0.1283904736359805,"score_gpt":0.4391713997982353,"score_spread":0.3107809261622548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395825039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900129,0.00056224206,0.0010564558,0.0024381846,0.0000149720145,0.005674397,0.0000133714575,0.000024663694,0.00020284083],"genre_scores_gemma":[0.99122524,0.000088943176,0.005042352,0.000012879075,0.00020060362,0.0030664692,0.000006715698,0.00006141638,0.00029536532],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9952197,0.00057464157,0.0013230931,0.00044001587,0.0016096358,0.00083292805],"domain_scores_gemma":[0.99762577,0.00022897107,0.00067571667,0.0007361413,0.0005349917,0.00019839044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062990175,0.00032630004,0.0005055546,0.00046450825,0.00077334576,0.0005140689,0.0017512848,0.00019354683,0.000011022869],"category_scores_gemma":[0.00068538234,0.00019463956,0.00013335502,0.0010969226,0.0005957939,0.00051316404,0.00053703575,0.0019483068,0.0000028099994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015747974,0.00023485467,0.0010852265,0.00023582052,0.000035401208,0.000056507703,0.003538492,0.000026926968,0.9931996,0.00023580999,0.00016545084,0.0010284618],"study_design_scores_gemma":[0.0026114585,0.0009502513,0.0032497458,0.0013476731,0.00003470793,0.00039755832,0.027173163,0.00018873884,0.9218388,0.040337108,0.0013148575,0.0005559201],"about_ca_topic_score_codex":0.0005023256,"about_ca_topic_score_gemma":0.00010523594,"teacher_disagreement_score":0.07136075,"about_ca_system_score_codex":0.00047297,"about_ca_system_score_gemma":0.00034894684,"threshold_uncertainty_score":0.8464532},"labels":[],"label_agreement":null},{"id":"W2399364539","doi":"10.1007/978-1-60327-058-8","title":"Structural Proteomics","year":2008,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Institute for Molecular Bioscience, University Of Queensland; University of Oxford; Centre National de la Recherche Scientifique; Macquarie University; Magyar Tudományos Akadémia; University of New South Wales; National Research Council Canada; University of Rochester; Weizmann Institute of Science; University of Toronto; Institut National de la Santé et de la Recherche Médicale; University of Washington; Rutgers, The State University of New Jersey","keywords":"Proteomics; Computational biology; Computer science; Biology; Biochemistry","score_opus":0.02511419222627342,"score_gpt":0.3945200920860125,"score_spread":0.3694058998597391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399364539","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013476204,0.0006673684,0.78879523,0.000041936873,0.000044037337,0.00033463733,0.000061973165,0.00011629619,0.20980376],"genre_scores_gemma":[0.0000042140964,0.000292155,0.891451,0.0001228857,0.00010393582,0.00039054285,0.00030130052,0.00007881969,0.107255146],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984282,0.000100705685,0.00045064665,0.0006229945,0.00006099409,0.0003364196],"domain_scores_gemma":[0.9987734,0.00010042012,0.00026782457,0.0007555053,0.00004669508,0.000056135763],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019146173,0.00035952544,0.0005315042,0.00011610423,0.00005701499,0.000007246981,0.000526621,0.0011124751,0.00016649027],"category_scores_gemma":[0.000106777545,0.00036555092,0.00017214123,0.00007010096,0.00025328618,0.000012436444,0.00023139427,0.0010299727,0.0000083500345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014285842,0.000010373045,0.000033789813,0.00007440151,0.00003446233,0.000039631457,0.000021557,0.00002077421,0.89019287,0.09180901,0.00027476012,0.017474087],"study_design_scores_gemma":[0.00015628399,0.000017211602,5.209248e-7,0.000040699557,0.000012757722,0.00005835144,0.0000012849976,0.0001197607,0.42692232,0.40871012,0.16356827,0.0003924166],"about_ca_topic_score_codex":0.000008873864,"about_ca_topic_score_gemma":0.0000015918002,"teacher_disagreement_score":0.46327057,"about_ca_system_score_codex":0.00024845978,"about_ca_system_score_gemma":0.0001888831,"threshold_uncertainty_score":0.99987966},"labels":[],"label_agreement":null},{"id":"W2399912172","doi":"10.1074/mcp.m115.056887","title":"Identification of Maturation-Specific Proteins by Single-Cell Proteomics of Human Oocytes","year":2016,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Proteomics; Identification (biology); Chemistry; Computational biology; Proteome; Cell biology; Cell; Biochemistry; Biology; Gene","score_opus":0.008890333161255218,"score_gpt":0.22350019762358667,"score_spread":0.21460986446233143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399912172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56666553,0.00023389298,0.43115783,0.00010242527,0.0000124988655,0.0011306768,0.00014564177,0.00008673139,0.00046475092],"genre_scores_gemma":[0.9033959,0.0000798296,0.09457033,0.000010168516,0.00004247309,0.0008772886,0.00013853292,0.00009973856,0.00078571646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99749994,0.000043993787,0.0011328163,0.00059873343,0.00038091623,0.00034362098],"domain_scores_gemma":[0.99720937,0.000030815685,0.0011597974,0.0011765976,0.00032563118,0.00009776771],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025495,0.00034063228,0.00040457645,0.000107137246,0.00013145719,0.000039162784,0.0006233531,0.0003059044,0.00010718574],"category_scores_gemma":[0.000044612723,0.00030825433,0.00021179712,0.00023828886,0.00027694038,0.00017386244,0.0001397197,0.00021716346,0.000014484635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005531471,0.00037663226,0.00005286124,0.00023570294,0.000022820414,0.0000020207633,0.00005557862,0.000012700876,0.9939934,0.004463796,0.00007845414,0.0006507132],"study_design_scores_gemma":[0.000628204,0.00008734101,0.0000031345521,0.00012914783,0.000026673715,0.0000029494197,0.000026229569,0.000060794075,0.9900618,0.007821682,0.0007933911,0.0003586119],"about_ca_topic_score_codex":0.000013219591,"about_ca_topic_score_gemma":7.404214e-7,"teacher_disagreement_score":0.33673036,"about_ca_system_score_codex":0.0001588866,"about_ca_system_score_gemma":0.000057098503,"threshold_uncertainty_score":0.99993694},"labels":[],"label_agreement":null},{"id":"W2401504254","doi":"10.1016/j.bbrc.2016.05.114","title":"Proteomic analysis of minute amount of colonic biopsies by enteroscopy sampling","year":2016,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Colorectal cancer; Western blot; Cancer; Proteomics; Blot; Pathology; Biology; Medicine; Cancer research; Internal medicine; Gene; Biochemistry","score_opus":0.07143606467972993,"score_gpt":0.3991223209470145,"score_spread":0.32768625626728454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401504254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99504304,0.00032935222,0.002276044,0.0012965589,0.0000015396125,0.0001905481,0.00061196415,0.000029919207,0.00022104365],"genre_scores_gemma":[0.9821011,0.0017308902,0.015642729,0.0000054359416,0.000011051692,0.00026168837,0.000095303105,0.000010156974,0.00014163661],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988411,0.00004271407,0.00035618554,0.00026201416,0.00025934304,0.00023862909],"domain_scores_gemma":[0.997718,0.000594099,0.00013663192,0.0011644241,0.00027902104,0.00010787603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021372481,0.00010883257,0.0002915867,0.00012332169,0.00013358271,0.000012008118,0.0008003573,0.00011036477,0.000047098158],"category_scores_gemma":[0.0002093001,0.00007747115,0.00012747935,0.0007272085,0.0018543071,0.000048697937,0.0005368287,0.00021843486,0.0000025413055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003474963,0.00029290275,0.00071517995,0.000044586173,0.00012030396,2.5564562e-8,0.000028222285,9.0659164e-8,0.99332464,0.0042279735,0.00015878772,0.0010525231],"study_design_scores_gemma":[0.00015431571,0.00004171558,0.00032584876,0.000091030524,0.0000749732,1.9857588e-7,0.000029166727,0.00023199101,0.9954372,0.0023248482,0.0011969627,0.00009174019],"about_ca_topic_score_codex":0.00010702012,"about_ca_topic_score_gemma":0.0000027964365,"teacher_disagreement_score":0.013366684,"about_ca_system_score_codex":0.000059829832,"about_ca_system_score_gemma":0.000041201612,"threshold_uncertainty_score":0.6832272},"labels":[],"label_agreement":null},{"id":"W2403879291","doi":"10.1385/1-59745-214-9:87","title":"Subfractionation of Heart Tissue: The \"In Sequence\" Myofilament Protein Extraction of Myocardial Tissue","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Myofilament; Fractionation; Chemistry; Proteomics; Extraction (chemistry); Chromatography; Biochemistry; Biology; Actin","score_opus":0.037403054739780714,"score_gpt":0.32532567141406626,"score_spread":0.28792261667428554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403879291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7790967,0.0010202222,0.022986867,0.00036595084,0.00007865995,0.0028140466,0.0001325358,0.00024977865,0.19325522],"genre_scores_gemma":[0.9908848,0.000016848355,0.0054507977,0.0000070691444,0.00009709788,0.0005538626,0.00002608353,0.000014994751,0.0029484506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991751,0.000019038962,0.00033510194,0.00016955895,0.00018610613,0.00011514555],"domain_scores_gemma":[0.99933743,0.000032712833,0.000235023,0.00031093383,0.000070174734,0.000013749718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011437053,0.00009504506,0.0001381171,0.000035101817,0.000063661246,0.0000107109545,0.00013094263,0.000080827886,0.0000434747],"category_scores_gemma":[0.000008027464,0.000085794156,0.000039154525,0.00002286109,0.00008989116,0.000058682446,0.000029966352,0.00014761972,0.0000010200423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016530823,0.00004683217,0.000014987052,0.00005336737,0.0000051318743,5.4318457e-7,0.000050047012,0.00023629329,0.9565285,0.035510913,0.00015000212,0.007386842],"study_design_scores_gemma":[0.00013409744,0.000015205992,0.00015599836,0.00003984066,0.000009119428,0.0000029847095,0.000017413271,0.000080754806,0.9172995,0.0085249655,0.07364491,0.00007519075],"about_ca_topic_score_codex":0.0017180686,"about_ca_topic_score_gemma":0.000064449836,"teacher_disagreement_score":0.21178807,"about_ca_system_score_codex":0.00006265096,"about_ca_system_score_gemma":0.00002258354,"threshold_uncertainty_score":0.3498584},"labels":[],"label_agreement":null},{"id":"W2409010323","doi":"10.1007/978-1-4939-3524-6_1","title":"Increased Depth and Breadth of Plasma Protein Quantitation via Two-Dimensional Liquid Chromatography/Multiple Reaction Monitoring-Mass Spectrometry with Labeled Peptide Standards","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"","keywords":"Chromatography; Chemistry; Mass spectrometry; Selected reaction monitoring; Quantitative proteomics; Biomarker discovery; Label-free quantification; Proteomics; Liquid chromatography–mass spectrometry; Sample preparation; Tandem mass spectrometry; Biochemistry","score_opus":0.012154219885223548,"score_gpt":0.3496978858859672,"score_spread":0.33754366600074365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409010323","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50971764,0.000056510442,0.4898815,0.000024752087,0.000006515387,0.00016046461,0.000026432954,0.000038544684,0.000087640474],"genre_scores_gemma":[0.4609756,0.000012200029,0.5388283,0.0000032968483,0.000011598165,0.00013598938,0.000010734531,0.000016258171,0.00000600351],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987719,0.00018961786,0.0003119337,0.00038421902,0.00012452895,0.000217775],"domain_scores_gemma":[0.9990261,0.00024159605,0.00023795369,0.00029901086,0.00013858595,0.000056729783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056414853,0.00017775233,0.0002859986,0.00017052364,0.000045902867,0.000004889312,0.000111330104,0.00016154126,0.000012082665],"category_scores_gemma":[0.00023419537,0.00013441469,0.000047659618,0.00025923553,0.0001825717,0.000049177113,0.00004557582,0.00015790979,3.3427315e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046332538,0.000050756433,0.008999927,0.00003525639,0.000037936104,0.0000038924895,0.000009049306,0.000008781706,0.9858386,0.0014181712,3.8399278e-7,0.0031339212],"study_design_scores_gemma":[0.0011886532,0.0002836089,0.0003768204,0.0001298843,0.000016994949,0.000018484156,0.000012312286,0.00015684713,0.99070895,0.0068645105,0.000067280715,0.00017568213],"about_ca_topic_score_codex":0.00016299526,"about_ca_topic_score_gemma":0.000022314578,"teacher_disagreement_score":0.048946846,"about_ca_system_score_codex":0.00009087512,"about_ca_system_score_gemma":0.00005636232,"threshold_uncertainty_score":0.5481272},"labels":[],"label_agreement":null},{"id":"W2409067338","doi":"10.1074/mcp.e116.061689","title":"On Strengthening the MCP Editorial Leadership","year":2016,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chemistry","score_opus":0.0178525962544216,"score_gpt":0.23740180277348785,"score_spread":0.21954920651906626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409067338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4739337,0.00012461723,0.5140481,0.0042320513,0.0012004527,0.00083540165,0.000051981486,0.00044919844,0.00512449],"genre_scores_gemma":[0.9633845,0.000023994804,0.02805506,0.00031679822,0.005525842,0.00073291035,0.000023819639,0.00011603017,0.001821061],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985073,0.00003338525,0.00028369974,0.00043069292,0.00033663414,0.00040824924],"domain_scores_gemma":[0.99865717,0.000114597606,0.00016441364,0.00090630946,0.00006800641,0.00008952357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021884232,0.0002508929,0.00016017129,0.000032442185,0.00022567488,0.000052982145,0.0005688938,0.00023113794,0.00017099857],"category_scores_gemma":[0.00015386178,0.00015752565,0.00015369174,0.00010148029,0.00013864381,0.000058123806,0.00010984173,0.0003958919,0.000096077034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003977678,0.00003637815,0.00001029747,0.0000139286385,0.000018522833,0.0000067595424,0.00003243897,0.00003557721,0.9756763,0.020200565,0.0016459798,0.0022834586],"study_design_scores_gemma":[0.00039686114,0.000029128492,4.5876357e-7,0.000068136964,0.000016559057,0.0000029784114,0.000030439647,0.00006555216,0.9381915,0.023284715,0.03767459,0.00023911096],"about_ca_topic_score_codex":0.0000063043967,"about_ca_topic_score_gemma":6.8141185e-7,"teacher_disagreement_score":0.48945078,"about_ca_system_score_codex":0.00011131383,"about_ca_system_score_gemma":0.000048419704,"threshold_uncertainty_score":0.64237094},"labels":[],"label_agreement":null},{"id":"W2409147217","doi":"10.1385/1-59745-026-x:217","title":"Using the Global Proteome Machine for Protein Identification","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Proteome; Identification (biology); Interface (matter); Informatics; Computer science; Computational biology; Human proteome project; Proteomics; Bioinformatics; Chemistry; Biology; Engineering; Biochemistry; Operating system","score_opus":0.05931914504854944,"score_gpt":0.3313004226434186,"score_spread":0.2719812775948691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409147217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049157854,0.0007338333,0.8779941,0.00010061801,0.000025324096,0.00377918,0.0003284648,0.0005011084,0.06737952],"genre_scores_gemma":[0.9213591,0.0000032085427,0.0640934,0.00002825742,0.00032672015,0.0053431983,0.0000765812,0.000040699688,0.008728799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922025,0.000007791867,0.00024395646,0.00023957073,0.00010607898,0.0001823628],"domain_scores_gemma":[0.999273,0.000008280237,0.00017392737,0.00046034652,0.00006316065,0.000021305928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008731268,0.00012093919,0.000090273825,0.000009214577,0.00033180232,0.00007743084,0.00028711732,0.00006708952,0.000012361759],"category_scores_gemma":[0.0000075332323,0.00009827341,0.00006523028,0.000014680055,0.000072894414,0.00004103321,0.000060726445,0.00009138846,9.686513e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027807153,0.00004376967,0.0000113462975,0.00013039648,0.000014228857,4.8704464e-7,0.000023119796,0.00016629457,0.5187852,0.4742561,0.0001483071,0.0063929628],"study_design_scores_gemma":[0.00021413164,0.000005513079,0.000009333243,0.00002728407,0.000025018408,0.0000036793228,0.0000047794933,0.0039212373,0.7768246,0.16561167,0.053196084,0.00015667855],"about_ca_topic_score_codex":0.00044048985,"about_ca_topic_score_gemma":0.000041153537,"teacher_disagreement_score":0.87220126,"about_ca_system_score_codex":0.00007981051,"about_ca_system_score_gemma":0.000014688643,"threshold_uncertainty_score":0.40074733},"labels":[],"label_agreement":null},{"id":"W2409948793","doi":"10.1007/978-1-62703-386-2_1","title":"Large-Scale Characterization of the Murine Cardiac Proteome","year":2013,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Biology; Computational biology; Cardiac muscle; Cardiac function curve; Western blot; Bioinformatics; Cell biology; Heart failure; Medicine; Internal medicine; Genetics; Endocrinology; Gene","score_opus":0.02729502359719004,"score_gpt":0.4106868931999021,"score_spread":0.38339186960271204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409948793","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041674488,0.3979358,0.6003483,0.00001602388,0.00004893919,0.0010033284,0.00016344448,0.000028783423,0.0004136783],"genre_scores_gemma":[2.576508e-7,0.52095956,0.47660542,0.000011563106,0.00003217428,0.0019459265,0.00018869783,0.000033147306,0.00022324707],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824405,0.0004920128,0.0005885633,0.0003897689,0.000050818984,0.00023481614],"domain_scores_gemma":[0.9984366,0.00007127436,0.00053960737,0.00087989133,0.000045686786,0.000026894146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044519422,0.00026248884,0.0010432013,0.000069709575,0.00003383134,0.0000055595756,0.00053802243,0.0005630163,0.00010098612],"category_scores_gemma":[0.00009359441,0.00018135399,0.0003858996,0.00029128088,0.00009727451,0.000013164917,0.00033603408,0.00048328744,0.000003986903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.227635e-7,0.00002975342,0.000009319622,0.0021852371,0.000029308982,2.4812854e-7,0.000010891633,1.4138008e-7,0.6116626,0.0014355482,0.0000015217546,0.38463476],"study_design_scores_gemma":[0.00004038436,0.000005769365,7.8033594e-7,0.00074577954,0.000069407564,0.000002133135,0.0000020302623,0.0000065031404,0.21108635,0.0028070998,0.78506744,0.00016633127],"about_ca_topic_score_codex":0.0000050284348,"about_ca_topic_score_gemma":2.6760318e-7,"teacher_disagreement_score":0.7850659,"about_ca_system_score_codex":0.00005907313,"about_ca_system_score_gemma":0.00006028697,"threshold_uncertainty_score":0.7395401},"labels":[],"label_agreement":null},{"id":"W2410277158","doi":"10.1007/978-1-61779-231-1_16","title":"Emerging Mass Spectrometry-Based Technologies for Analyses of Chromatin Changes: Analysis of Histones and Histone Modifications","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Fourier transform ion cyclotron resonance; Mass spectrometry; Proteomics; Chemistry; Histone; Top-down proteomics; Computational biology; Posttranslational modification; Acetylation; Tandem mass spectrometry; Chromatin; Electron-capture dissociation; Fragmentation (computing); Biochemistry; Chromatography; Protein mass spectrometry; Biology; DNA","score_opus":0.07467374269624248,"score_gpt":0.45027663230734954,"score_spread":0.37560288961110705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410277158","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038602155,0.0010190727,0.9597009,0.00009282295,0.0000047151852,0.00014388881,0.00006282424,0.00006039258,0.0003132337],"genre_scores_gemma":[0.1898417,0.000076834935,0.809745,0.0000068507907,0.0000015227716,0.00027850174,0.000031750733,0.000009330245,0.000008511756],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991696,0.00005299858,0.00033635309,0.00027141214,0.000032102733,0.00013752222],"domain_scores_gemma":[0.9989987,0.00015921211,0.00031904134,0.00044132813,0.000067713736,0.000013995739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029504247,0.00011195847,0.0004312228,0.0006554368,0.000027395015,0.0000011658775,0.00021296341,0.00015729581,0.000030804717],"category_scores_gemma":[0.00024946948,0.00010987268,0.00010861143,0.0008256471,0.00027308238,0.00000902912,0.000042128944,0.00007964945,3.3301138e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014482072,0.00004781185,0.000595988,0.00006162512,0.00015071979,2.3816601e-7,0.000051384075,0.00006076213,0.98320574,0.010785123,4.7091328e-7,0.0050256713],"study_design_scores_gemma":[0.00011674696,0.000048414175,0.00006677332,0.000009871564,0.0002878488,2.84462e-7,0.00013003561,0.0043312316,0.96285564,0.03198657,0.00006946751,0.00009711013],"about_ca_topic_score_codex":0.000092397415,"about_ca_topic_score_gemma":0.000011010594,"teacher_disagreement_score":0.15123954,"about_ca_system_score_codex":0.000039091516,"about_ca_system_score_gemma":0.00001404204,"threshold_uncertainty_score":0.44804776},"labels":[],"label_agreement":null},{"id":"W2410909795","doi":"","title":"Organelle proteomics: looking at less to see more.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Proteomics; Computational biology; Organelle; Biology; Genome; Alternative splicing; Realization (probability); Cell; Human genome; Gene; Bioinformatics; Computer science; Cell biology; Genetics; Mathematics","score_opus":0.016823908776446694,"score_gpt":0.24094181839156814,"score_spread":0.22411790961512146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410909795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9347856,0.000035912864,0.045813248,0.0022426944,0.000023996528,0.0011719042,0.000029805698,0.00044067984,0.015456173],"genre_scores_gemma":[0.93337345,0.0000147775745,0.051963966,0.0003583056,0.00014993604,0.009870447,0.000017189204,0.00004798797,0.0042039366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99905664,0.0000020194605,0.00017091651,0.00030402595,0.000112532616,0.00035387144],"domain_scores_gemma":[0.99931985,0.000010618428,0.00006457223,0.00041333155,0.000035102537,0.00015652894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006663548,0.00012942421,0.00012142841,0.000030399446,0.00014183825,0.00002562507,0.00025607727,0.00008558031,0.00007313342],"category_scores_gemma":[0.000031883566,0.00013422414,0.000043832213,0.00012982088,0.0000327703,0.00005360739,0.00018786573,0.00013367212,0.00006186477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015069393,0.00035862532,0.0053083887,0.00024550807,0.00007540532,0.000031800933,0.0010153898,0.0028712947,0.8743375,0.016499467,0.0020182596,0.09708768],"study_design_scores_gemma":[0.00028079905,0.000002526412,0.0007917327,0.000012488874,0.000007001677,0.000012732072,0.0000495684,0.0000061771743,0.9753872,0.005811027,0.017430956,0.0002077763],"about_ca_topic_score_codex":0.00004257324,"about_ca_topic_score_gemma":0.000015774303,"teacher_disagreement_score":0.10104973,"about_ca_system_score_codex":0.00035005301,"about_ca_system_score_gemma":0.000017895032,"threshold_uncertainty_score":0.54735017},"labels":[],"label_agreement":null},{"id":"W2410940540","doi":"10.1016/j.jprot.2016.05.037","title":"Quantitative proteomics analysis using 2D-PAGE to investigate the effects of cigarette smoke and aerosol of a prototypic modified risk tobacco product on the lung proteome in C57BL/6 mice","year":2016,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Canada; Philip Morris International","keywords":"Proteomics; Proteome; Quantitative proteomics; Computational biology; Bioinformatics; Chemistry; Biology; Biochemistry","score_opus":0.02662091596381898,"score_gpt":0.29871938144368243,"score_spread":0.27209846547986344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410940540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9367907,0.00012555074,0.05646421,0.0011774198,0.000021138201,0.0053180433,0.000063659376,0.000014623408,0.000024674351],"genre_scores_gemma":[0.89276874,0.00014420103,0.1059338,0.00006139833,0.000062197316,0.000962199,8.791178e-7,0.00004102144,0.000025579711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99750173,0.00020736759,0.001158322,0.0003826497,0.0004192185,0.00033068855],"domain_scores_gemma":[0.9959873,0.000572687,0.0021933394,0.0007171435,0.00041086948,0.00011868932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013881578,0.00032368617,0.0007160396,0.00030077135,0.00015699412,0.000038138147,0.0006722981,0.00014970284,0.000006456997],"category_scores_gemma":[0.0018348085,0.00017458004,0.00024239448,0.00089985627,0.0003375331,0.00020289898,0.00017193056,0.00071355235,3.1682484e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006989602,0.00012748547,0.007581799,0.0002807653,0.00035379102,0.0000034684344,0.00078695064,0.001216808,0.98749334,0.0011062432,0.000011888489,0.00033852248],"study_design_scores_gemma":[0.0007732124,0.00034963817,0.0010732971,0.0010646933,0.00036590808,0.000010858626,0.00011194804,0.0017824228,0.98990387,0.0043311603,0.000005602541,0.0002273951],"about_ca_topic_score_codex":0.000096461314,"about_ca_topic_score_gemma":0.000017174623,"teacher_disagreement_score":0.04946959,"about_ca_system_score_codex":0.0001975813,"about_ca_system_score_gemma":0.00019630554,"threshold_uncertainty_score":0.71191674},"labels":[],"label_agreement":null},{"id":"W2412015180","doi":"10.1007/978-1-4939-1142-4_18","title":"Protein Correlation Profiling-SILAC to Study Protein-Protein Interactions","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interactome; Stable isotope labeling by amino acids in cell culture; Computational biology; Protein–protein interaction; Chemistry; Proteomics; Mass spectrometry; Quantitative proteomics; Biology; Biochemistry; Chromatography","score_opus":0.021873349783379743,"score_gpt":0.41472366169708447,"score_spread":0.39285031191370473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412015180","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29897213,0.000012569614,0.6968983,0.00020503637,0.000021708425,0.0018981339,0.000005312052,0.0001337156,0.0018530986],"genre_scores_gemma":[0.28790736,2.5842618e-7,0.70605814,0.000062446634,0.00003797493,0.0054274825,0.000020446361,0.000032481505,0.0004533881],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979436,0.000532348,0.00048459612,0.00063012604,0.00008334756,0.00032598546],"domain_scores_gemma":[0.998848,0.00007527638,0.00018181656,0.0007216134,0.000087430104,0.00008587144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009343458,0.00023474332,0.00030110104,0.00015257657,0.00010772471,0.00002007392,0.00034605153,0.00019045494,0.00011078252],"category_scores_gemma":[0.0007761829,0.00023613509,0.000073349096,0.00034202854,0.00005492472,0.000039714098,0.00020264054,0.0005203382,0.000024369281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034856337,0.00020640121,0.00053888495,0.000017118775,0.000013639476,0.0000020255884,0.00006100529,0.00010134875,0.9491699,0.023081915,0.000001121376,0.026771786],"study_design_scores_gemma":[0.00031321598,0.00016997686,0.000020712669,0.000043454434,0.000008858367,0.0000030380177,0.00005825871,0.0012589695,0.9222495,0.07238162,0.00324551,0.00024688407],"about_ca_topic_score_codex":0.000051940784,"about_ca_topic_score_gemma":0.000010608962,"teacher_disagreement_score":0.049299702,"about_ca_system_score_codex":0.00010012074,"about_ca_system_score_gemma":0.000026773987,"threshold_uncertainty_score":0.962931},"labels":[],"label_agreement":null},{"id":"W2412361894","doi":"10.1007/978-1-59745-398-1_22","title":"Toward High-Throughput and Reliable Peptide Identification via MS/MS Spectra","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Tandem mass spectrometry; Identification (biology); Mass spectrometry; Computational biology; Peptide; Tandem; Throughput; Computer science; Software; Chemistry; Chromatography; Biology; Engineering; Biochemistry","score_opus":0.026581197520733575,"score_gpt":0.36949171561712013,"score_spread":0.34291051809638656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412361894","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06821246,0.0003816998,0.9285191,0.00028484387,0.000030822714,0.00014657828,0.000008105937,0.00009408923,0.0023222987],"genre_scores_gemma":[0.055470202,0.00055306306,0.94321215,0.00011920956,0.000040623378,0.00018871951,0.00004615831,0.000023979706,0.00034591064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988583,0.00008451133,0.00031795813,0.0004569815,0.000046039935,0.00023626474],"domain_scores_gemma":[0.99927783,0.00006907332,0.00011901202,0.00045414653,0.00003489052,0.000045019417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032813384,0.00014546444,0.00022279784,0.00005868591,0.00008014004,0.000007921768,0.00019743676,0.00021685261,0.00009029693],"category_scores_gemma":[0.000095516334,0.00015152595,0.000045277837,0.00015634701,0.0001850868,0.000034460147,0.0001013402,0.00025205564,0.000007126485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007602942,0.000028134522,0.00066261203,0.00001704241,0.000008202679,0.000010328772,0.000049671118,0.000020569498,0.9824757,0.013037134,0.00003603652,0.0036469535],"study_design_scores_gemma":[0.00015831232,0.00001664123,0.00016893583,0.000007084558,0.0000070010296,0.00005696766,0.0000079539095,0.00023579778,0.83988756,0.1523287,0.006976572,0.00014848188],"about_ca_topic_score_codex":0.00019262667,"about_ca_topic_score_gemma":0.0000034147693,"teacher_disagreement_score":0.14258815,"about_ca_system_score_codex":0.0000568612,"about_ca_system_score_gemma":0.000019012115,"threshold_uncertainty_score":0.6179049},"labels":[],"label_agreement":null},{"id":"W2413403500","doi":"10.1007/978-1-60327-003-8_8","title":"Cell-Based Identification of Natural Substrates and Cleavage Sites for Extracellular Proteases by SILAC Proteomics","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Proteolysis; Protease; Proteases; Biochemistry; Proteome; Biology; Proteomics; Extracellular; Chemistry; Cell biology; Enzyme","score_opus":0.013724000288207437,"score_gpt":0.36589681026661625,"score_spread":0.35217280997840883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2413403500","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22322084,0.0017540714,0.77417207,0.00012042089,0.000005285888,0.0006055111,0.000048365033,0.000034009685,0.00003941954],"genre_scores_gemma":[0.35449094,0.000022764443,0.6449708,0.000030330022,0.000006196531,0.00031720518,0.000108632616,0.00001031718,0.000042873104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900347,0.000082413026,0.00037172687,0.0003301056,0.00003470948,0.00017757001],"domain_scores_gemma":[0.9992858,0.00013234594,0.0002314163,0.00027005587,0.00005132872,0.000029044468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004016519,0.00013892853,0.00020932005,0.000052444768,0.000041723328,0.000011268737,0.00016033018,0.00017923556,0.0000052401374],"category_scores_gemma":[0.00016446727,0.00013957084,0.00005833815,0.00009642315,0.00010740232,0.000024741737,0.000017438933,0.00014981817,1.7040314e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040479685,0.00008496169,0.0002582712,0.0000765494,0.0000035073165,4.7184383e-7,0.000011482931,0.000025385641,0.9935569,0.0019562764,0.0000129796235,0.003972701],"study_design_scores_gemma":[0.00029260645,0.000062057334,0.000019838853,0.000011580279,0.000011375927,0.000001105789,0.000014277262,0.0027055277,0.9590411,0.037448112,0.00025335595,0.00013906285],"about_ca_topic_score_codex":0.0000047925487,"about_ca_topic_score_gemma":3.7486092e-7,"teacher_disagreement_score":0.1312701,"about_ca_system_score_codex":0.000020746473,"about_ca_system_score_gemma":0.000019217012,"threshold_uncertainty_score":0.56915337},"labels":[],"label_agreement":null},{"id":"W2415591279","doi":"10.4103/1008-682x.183570","title":"Phenotypic plasticity in prostate cancer: role of intrinsically disordered proteins","year":2016,"lang":"en","type":"review","venue":"Asian Journal of Andrology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Phenotype; SNAI1; Biology; Phenotypic switching; Phenotypic plasticity; Epithelial–mesenchymal transition; Prostate cancer; Cancer; Intrinsically disordered proteins; Genetics; Computational biology; Gene; Metastasis","score_opus":0.01004663371221091,"score_gpt":0.2956252927523487,"score_spread":0.2855786590401378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415591279","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006992797,0.9953758,0.0018263595,0.00025536903,0.000030755495,0.00046337536,0.00015424246,0.0000147352675,0.0011800826],"genre_scores_gemma":[0.003574243,0.9926727,0.0033395612,0.0000058669916,0.00014086535,0.00015735676,0.0000059161143,0.000035108824,0.00006837235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834824,0.00004505563,0.0010524904,0.00020011821,0.00010733446,0.00024677953],"domain_scores_gemma":[0.9979891,0.0000754943,0.0015472064,0.00019578036,0.00011015931,0.00008221216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000974373,0.00023705895,0.0013285944,0.00015792767,0.000026490043,0.0000057654966,0.00041555788,0.00027144208,0.00016803037],"category_scores_gemma":[0.000070895236,0.00016725039,0.00024736288,0.00014024104,0.00013270232,0.00005593105,0.00007444137,0.00065212685,0.0000032507285],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008188802,0.00010030126,0.00008101417,0.0017364873,0.00008062952,0.00001536432,0.00005732374,0.0000015518135,0.0004891697,0.00086108386,0.000014633521,0.9964805],"study_design_scores_gemma":[0.0007295025,0.00024090959,0.0000067955143,0.009290198,0.00018652208,0.00024081787,0.000024055897,0.0000018631375,0.0014622826,0.01606549,0.9714767,0.00027491216],"about_ca_topic_score_codex":0.0000072305857,"about_ca_topic_score_gemma":0.000021897855,"teacher_disagreement_score":0.9962056,"about_ca_system_score_codex":0.00009439607,"about_ca_system_score_gemma":0.0004042323,"threshold_uncertainty_score":0.6820273},"labels":[],"label_agreement":null},{"id":"W2416648886","doi":"","title":"Proteomics discovery of biomarkers.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BioPhage Pharma (Canada)","funders":"","keywords":"Proteomics; Computational biology; Biomarker discovery; Computer science; Chemistry; Biology; Biochemistry","score_opus":0.013822317115414266,"score_gpt":0.23628754679002054,"score_spread":0.22246522967460627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416648886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85258067,0.00019435653,0.062353957,0.0015492415,0.000019761386,0.0010280622,0.00010782131,0.00026566288,0.08190045],"genre_scores_gemma":[0.9279959,0.000042015632,0.06667857,0.000048586455,0.00008949037,0.0032950873,0.000010322167,0.000014445041,0.001825569],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994749,0.0000020341756,0.00016431342,0.00013278246,0.00006683812,0.0001591507],"domain_scores_gemma":[0.999574,0.000014431212,0.00009314472,0.00026339816,0.00001960488,0.00003539336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060534403,0.00006727967,0.0000865431,0.000020497613,0.000025693016,0.000011424165,0.00014919824,0.000053151354,0.000024928502],"category_scores_gemma":[0.00002191458,0.000064730564,0.00004862042,0.00006790526,0.00004765386,0.00012731082,0.000046255038,0.000066170396,0.0000028465988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008378741,0.00027393398,0.0037212821,0.00013242658,0.00007492305,8.1088984e-7,0.00004398454,0.000043709286,0.36092407,0.017210018,0.001754329,0.6157367],"study_design_scores_gemma":[0.00013349242,0.0000012355436,0.0008656286,0.000004414546,0.0000066105135,0.0000012891018,0.0000075637095,0.000051616345,0.9795624,0.0038116234,0.015466549,0.000087546614],"about_ca_topic_score_codex":0.0000061354426,"about_ca_topic_score_gemma":0.0000017415047,"teacher_disagreement_score":0.61863834,"about_ca_system_score_codex":0.000042575753,"about_ca_system_score_gemma":0.000008989724,"threshold_uncertainty_score":0.26396358},"labels":[],"label_agreement":null},{"id":"W2417586353","doi":"10.1007/978-1-59745-548-0_7","title":"Proteomic Analysis of Neuroendocrine Peptidergic System Disruption Using the AtT20 Pituitary Cell Line as a Model","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Proteome; Proteomics; Chemistry; Cell culture; Gel electrophoresis; Biochemistry; Biology; Cell biology; Gene","score_opus":0.03644560647333867,"score_gpt":0.39528006787405273,"score_spread":0.35883446140071407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417586353","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43912762,0.00008626832,0.56030846,0.000035968613,0.00000548,0.00016613754,0.000013948556,0.000031046762,0.00022505788],"genre_scores_gemma":[0.43115795,0.00005203058,0.5685401,0.00003582337,0.000009215455,0.00012722914,0.000023116543,0.000014591878,0.000039962095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867225,0.00023791315,0.00044171026,0.00035966808,0.000066377834,0.00022210396],"domain_scores_gemma":[0.99898094,0.00007787197,0.00024599352,0.000610366,0.000051295472,0.000033506625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000254535,0.00016336236,0.00038474155,0.00016384116,0.00008482938,0.000003086189,0.0002941375,0.000087255816,0.000014701313],"category_scores_gemma":[0.00005739171,0.00013143243,0.00019482248,0.00055332616,0.0001466774,0.000019686528,0.00014027856,0.0002621857,6.246023e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018206354,0.00004071845,0.00048659756,0.000039143586,0.00005322408,0.000025197256,0.000035155026,0.09199495,0.90522444,0.001901849,4.5586205e-7,0.00018008394],"study_design_scores_gemma":[0.00011142089,0.000016158796,0.000008534828,0.000008481135,0.00012882033,0.000064277745,0.000022703718,0.37696594,0.62033325,0.0022386033,0.000015131398,0.00008671262],"about_ca_topic_score_codex":0.00013670766,"about_ca_topic_score_gemma":0.000002016992,"teacher_disagreement_score":0.28497097,"about_ca_system_score_codex":0.000073711715,"about_ca_system_score_gemma":0.000040604016,"threshold_uncertainty_score":0.5359659},"labels":[],"label_agreement":null},{"id":"W2418562037","doi":"10.1007/978-1-4939-2253-6_13","title":"Extracting, Enriching, and Identifying Nuclear Body Sub-Complexes Using Label-Based Quantitative Mass Spectrometry","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Stable isotope labeling by amino acids in cell culture; Proteome; Mass spectrometry; Chemistry; Isotope; Nuclear protein; Function (biology); Computational biology; Proteomics; Biochemistry; Chromatography; Biology; Cell biology; Nuclear physics","score_opus":0.044503419644226265,"score_gpt":0.43332965308386057,"score_spread":0.3888262334396343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418562037","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2753328,0.00020868088,0.72361803,0.00003928831,0.000018621315,0.000078885154,0.0000043204577,0.00006841702,0.0006309315],"genre_scores_gemma":[0.10020565,0.000023381455,0.8995508,0.00012142264,0.000021093034,0.000023316881,0.000009814417,0.00003688061,0.000007671655],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861866,0.0003172503,0.00028588125,0.00044121433,0.000051416624,0.00028560375],"domain_scores_gemma":[0.9990042,0.0003961223,0.000198692,0.00031894364,0.000031841642,0.000050210398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008055423,0.00017646527,0.00027998083,0.00014847422,0.00012155603,0.000031094474,0.00020123478,0.00018405402,0.000043886655],"category_scores_gemma":[0.00049332314,0.00018850424,0.000050393606,0.00020008374,0.00014646759,0.00003866678,0.00009071465,0.0003794977,0.0000016022857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011188486,0.000027996775,0.00080370606,0.000035671965,0.000011954402,0.0000033029644,0.000028856015,0.000036588674,0.9529596,0.0437446,7.062721e-7,0.0023358094],"study_design_scores_gemma":[0.00025774856,0.000035056404,0.000031228596,0.000030633833,0.000015394555,0.00000841475,0.000049537874,0.021427354,0.89029574,0.08697834,0.0006682324,0.0002022877],"about_ca_topic_score_codex":0.000045746685,"about_ca_topic_score_gemma":0.0000020657826,"teacher_disagreement_score":0.17593274,"about_ca_system_score_codex":0.000056847293,"about_ca_system_score_gemma":0.000013516198,"threshold_uncertainty_score":0.768698},"labels":[],"label_agreement":null},{"id":"W2418599318","doi":"10.1385/1-59259-356-9:99","title":"Kinetworks&lt;sup&gt;TM&lt;/sup&gt; Protein Kinase Multiblot Analysis","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kinexus Bioinformatics Corporation (Canada); University of British Columbia","funders":"","keywords":"Kinase; Phosphorylation; Signal transduction; Gel electrophoresis; Chemistry; Proteomics; Biochemistry; Molecular biology; Protein phosphorylation; Protein kinase C; Biology; Protein kinase A; Gene","score_opus":0.028877877850181814,"score_gpt":0.2755246881607891,"score_spread":0.2466468103106073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418599318","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24167107,0.0048049768,0.15117672,0.000077441306,0.000055131324,0.003243027,0.00028423674,0.0023638716,0.59632355],"genre_scores_gemma":[0.920236,0.00011647432,0.04493836,0.00009459523,0.00024171363,0.0024023554,0.00012037185,0.00012371405,0.031726398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975343,0.000057503843,0.00059268426,0.0008316146,0.00034093953,0.0006429679],"domain_scores_gemma":[0.9977751,0.00005495444,0.0003036753,0.0014937567,0.0001456718,0.00022686477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001992872,0.00045235862,0.0005056044,0.0001527153,0.00039435,0.00012238743,0.00060379284,0.00029532544,0.0005274474],"category_scores_gemma":[0.000048852413,0.00047042867,0.0003427873,0.00015506314,0.00017101031,0.00009233975,0.00016889551,0.0004605407,0.000021888129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019769589,0.00092681084,0.00016242728,0.00066610647,0.002191817,0.00015604697,0.0012467061,0.015603286,0.4434823,0.47700858,0.0050092544,0.05334897],"study_design_scores_gemma":[0.0008130152,0.00003247787,0.000015986294,0.00009775055,0.00057146786,0.0000070815327,0.000029695233,0.008907664,0.49286193,0.0070798732,0.48867905,0.0009040157],"about_ca_topic_score_codex":0.00010701709,"about_ca_topic_score_gemma":0.00007733689,"teacher_disagreement_score":0.67856497,"about_ca_system_score_codex":0.00010145372,"about_ca_system_score_gemma":0.00003446568,"threshold_uncertainty_score":0.99977475},"labels":[],"label_agreement":null},{"id":"W2419437825","doi":"10.1007/978-1-59745-188-8_16","title":"Quantitative Protein Profiling by Mass Spectrometry Using Isotope-Coded Affinity Tags","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Chemistry; Mass spectrometry; Proteomics; Quantitative proteomics; Tandem mass spectrometry; Tandem mass tag; Chromatography; Computational biology; Biology; Biochemistry","score_opus":0.048176009361804224,"score_gpt":0.41716663520929637,"score_spread":0.36899062584749215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419437825","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26148853,0.00028110534,0.73653173,0.000048212652,0.000011536881,0.0003159875,0.000028060029,0.0000819313,0.0012129276],"genre_scores_gemma":[0.017759902,0.000036900165,0.9816177,0.00006794593,0.000017259372,0.000312579,0.00004093659,0.000036528567,0.00011024932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984255,0.0002839285,0.0003633944,0.0004980708,0.00006589543,0.000363249],"domain_scores_gemma":[0.9991756,0.000123525,0.00018089314,0.00041376025,0.0000521746,0.000054052103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004852074,0.00020873018,0.00033347384,0.000103929626,0.00011373799,0.000007298429,0.00029235226,0.000276248,0.000074610376],"category_scores_gemma":[0.00036567487,0.00021530357,0.000084657084,0.00036633556,0.00020429342,0.000035582543,0.000106615655,0.00047371374,0.0000031309244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026378311,0.000052691365,0.00062509434,0.00002060474,0.000015026223,0.000013122141,0.000026085218,0.00002905781,0.9857088,0.013149251,0.0000032948174,0.0003305955],"study_design_scores_gemma":[0.00021800525,0.00004579134,0.0000023047276,0.000016668935,0.0000060107977,0.00001671158,0.000040004466,0.0017371386,0.946864,0.050445747,0.000376651,0.00023097919],"about_ca_topic_score_codex":0.000050799154,"about_ca_topic_score_gemma":7.5930865e-7,"teacher_disagreement_score":0.24508598,"about_ca_system_score_codex":0.000117108866,"about_ca_system_score_gemma":0.000053437165,"threshold_uncertainty_score":0.8779825},"labels":[],"label_agreement":null},{"id":"W2421831709","doi":"10.1021/acs.jproteome.5b00404","title":"Sample Collection Method Bias Effects in Quantitative Phosphoproteomics","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phosphoproteomics; Phosphorylation; Phosphopeptide; Protein phosphorylation; Quantitative proteomics; Proteomics; Proteome; Sample preparation; Chemistry; Biochemistry; Biology; Chromatography","score_opus":0.2021600302478485,"score_gpt":0.4795608120692456,"score_spread":0.2774007818213971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2421831709","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29591304,0.00043751363,0.6992563,0.00084660965,0.00005244528,0.0010494973,0.000012124103,0.000036120313,0.0023963673],"genre_scores_gemma":[0.09546414,0.000146721,0.903368,0.00001281431,0.00013230612,0.0004027491,0.0000028678767,0.000036274265,0.0004341477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977515,0.000270211,0.00057601905,0.00022007742,0.0007816036,0.0004006021],"domain_scores_gemma":[0.99691004,0.0011265029,0.00035160396,0.0002737997,0.001104631,0.00023340729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005065657,0.00013625453,0.0003391395,0.00047564236,0.000122012054,0.00006402807,0.00040501374,0.0001684366,0.00005409769],"category_scores_gemma":[0.0045015235,0.000120046214,0.000097943564,0.0010979727,0.00009754797,0.00023619823,0.00012436192,0.00137261,0.0000131815805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020332232,0.0007543628,0.00686739,0.000494933,0.00009495887,0.00012242282,0.0022319213,0.0009743728,0.9486283,0.024763232,0.0025513642,0.010483496],"study_design_scores_gemma":[0.0014401247,0.00059853157,0.000114911905,0.0002605098,0.0000074587806,0.00008127727,0.00065064785,0.0039609824,0.78740823,0.20099893,0.0043070335,0.0001713717],"about_ca_topic_score_codex":0.00046235498,"about_ca_topic_score_gemma":0.000025767407,"teacher_disagreement_score":0.20411168,"about_ca_system_score_codex":0.0007440961,"about_ca_system_score_gemma":0.00053461536,"threshold_uncertainty_score":0.5963384},"labels":[],"label_agreement":null},{"id":"W2426772027","doi":"10.1007/978-1-60761-780-8_10","title":"Basic Design of MRM Assays for Peptide Quantification","year":2010,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Lundbeckfonden","keywords":"Selected reaction monitoring; Workflow; Proteomics; Chemistry; Computational biology; Computer science; Mass spectrometry; Quantitative proteomics; Nanotechnology; Chromatography; Tandem mass spectrometry; Biology; Biochemistry; Database; Materials science","score_opus":0.047273248967561174,"score_gpt":0.4293972055458553,"score_spread":0.3821239565782941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2426772027","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007435675,0.000036922098,0.99139893,0.00010921912,0.00003097631,0.00026858828,0.000017120885,0.000036285157,0.00066629704],"genre_scores_gemma":[0.017622568,0.000013361742,0.9816472,0.000033927106,0.0000197758,0.00055262545,0.000034517994,0.000016979677,0.00005904342],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992549,0.00008523989,0.00025082697,0.00024362284,0.000023406905,0.00014203352],"domain_scores_gemma":[0.9990354,0.0003417488,0.00013502942,0.00040685083,0.00005958382,0.000021341812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008256171,0.000085816384,0.000163397,0.000051241866,0.00002527017,0.0000030550543,0.00021271568,0.00020999143,0.000040462568],"category_scores_gemma":[0.00046255463,0.00008624171,0.00005584266,0.00009139263,0.000092119044,0.000011146979,0.000032741686,0.00018826444,8.7668866e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012544356,0.000028447157,0.00016972225,0.000017182616,0.000004823985,1.6085657e-7,0.000008858957,0.000049919294,0.9110516,0.07011141,0.000009574688,0.018535784],"study_design_scores_gemma":[0.00011881355,0.000017535811,0.000007630572,0.0000041291896,0.000006136136,0.0000017246989,0.0000058720357,0.0019656133,0.8454125,0.14771552,0.0046687345,0.00007580038],"about_ca_topic_score_codex":0.000009515959,"about_ca_topic_score_gemma":0.0000021685412,"teacher_disagreement_score":0.07760411,"about_ca_system_score_codex":0.000011977975,"about_ca_system_score_gemma":0.000023575085,"threshold_uncertainty_score":0.35168347},"labels":[],"label_agreement":null},{"id":"W2426916527","doi":"10.1093/neuonc/now076.42","title":"MB-44SUBGROUP-SPECIFIC QUANTITATIVE PROTEOMIC ANALYSIS OF MEDULLOBLASTOMA","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medulloblastoma; Computational biology; Biology; Cancer research","score_opus":0.024396137609051693,"score_gpt":0.31828356214749126,"score_spread":0.2938874245384396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2426916527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92085767,0.00005755291,0.06799521,0.0013449187,0.000044388657,0.00031901352,0.00014800172,0.00018531404,0.009047951],"genre_scores_gemma":[0.95322627,0.00031090114,0.04556547,0.000121521,0.000056745303,0.00050078944,0.000017971297,0.000036020556,0.00016430258],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986085,0.000049638864,0.00046402798,0.00045980763,0.00014336807,0.00027463477],"domain_scores_gemma":[0.99828774,0.0005202568,0.00039803877,0.0005733895,0.00013062234,0.00008997855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012065302,0.00017691801,0.0004891386,0.00019954842,0.000069359754,0.0000059267454,0.00035738663,0.0002011808,0.0009072336],"category_scores_gemma":[0.00010513067,0.00013663255,0.00020608795,0.0005319819,0.0002611204,0.000077231925,0.00011122529,0.00018666706,0.000050248254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012225412,0.00012557935,0.000882047,0.000010485641,0.0001373407,0.000007452688,0.00008749434,0.000018685847,0.9699377,0.015532244,0.0004085943,0.012730112],"study_design_scores_gemma":[0.00044432713,0.00021255242,0.00019985512,0.000013203037,0.00016040195,0.00000885622,0.000055758483,0.00016266158,0.9319072,0.0029905753,0.063681334,0.00016329298],"about_ca_topic_score_codex":0.000011901729,"about_ca_topic_score_gemma":0.000020007164,"teacher_disagreement_score":0.06327274,"about_ca_system_score_codex":0.00018197211,"about_ca_system_score_gemma":0.00007456208,"threshold_uncertainty_score":0.99335724},"labels":[],"label_agreement":null},{"id":"W2440955830","doi":"10.1385/1-59745-214-9:59","title":"A Solubility Optimization Protocol for Two-Dimensional Gel Electrophoresis of Cardiac Tissue","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Isoelectric focusing; Chromatography; Buffer (optical fiber); Solubilization; Proteome; Two-dimensional gel electrophoresis; Electrophoresis; Extraction (chemistry); Solubility; Chemistry; Isoelectric point; Protein purification; Protocol (science); Computer science; Biochemistry; Proteomics; Enzyme; Medicine; Pathology","score_opus":0.027109459334902577,"score_gpt":0.32184425587156074,"score_spread":0.2947347965366582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2440955830","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012023398,0.00040253057,0.43543556,0.000060661165,0.000046754965,0.34397694,0.0007559686,0.0012094846,0.2060887],"genre_scores_gemma":[0.019837799,0.0000015221658,0.23776595,0.000014404665,0.00024012374,0.73695993,0.00011758112,0.000062531806,0.005000143],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991169,0.000010208272,0.00029580036,0.00026897123,0.000121773635,0.00018632841],"domain_scores_gemma":[0.99923694,0.000038977785,0.00017742733,0.00037752296,0.00014008686,0.000029056671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007257717,0.00012941238,0.00018282027,0.000021125283,0.00012036158,0.000014555909,0.00014666557,0.00007987549,0.000049898714],"category_scores_gemma":[0.000008077204,0.0001318768,0.00008490008,0.000012338966,0.000069627364,0.00002830609,0.000054098,0.000080768616,3.367419e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032768663,0.00027643965,0.000013690765,0.00071736745,0.000053464068,5.147293e-7,0.000043455148,0.03423568,0.8877161,0.055811655,0.0040847454,0.016719198],"study_design_scores_gemma":[0.00038216787,0.000025235488,0.0000026904079,0.000023287444,0.000019753523,4.164396e-7,9.375582e-7,0.00456678,0.9395639,0.008448481,0.046830185,0.00013622097],"about_ca_topic_score_codex":0.00027207588,"about_ca_topic_score_gemma":0.000007697444,"teacher_disagreement_score":0.392983,"about_ca_system_score_codex":0.000044310713,"about_ca_system_score_gemma":0.000029262228,"threshold_uncertainty_score":0.53777796},"labels":[],"label_agreement":null},{"id":"W2460656813","doi":"10.1038/ncomms11906","title":"Targeted proteomics identifies liquid-biopsy signatures for extracapsular prostate cancer","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research; National Cancer Institute; Ontario Institute for Cancer Research; National Institutes of Health; Prostate Cancer Canada; Government of Ontario; Movember Foundation","keywords":"Proteomics; Prostate cancer; Biomarker discovery; Medicine; Biomarker; Liquid biopsy; Computational biology; Personalized medicine; Cancer; Quantitative proteomics; Bioinformatics; Precision medicine; Prostate; Pathology; Internal medicine; Biology","score_opus":0.015397862956980018,"score_gpt":0.3237609145359186,"score_spread":0.30836305157893856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460656813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5368579,0.09613123,0.20502092,0.12130216,0.00063916604,0.011637417,0.012520467,0.0047762273,0.011114513],"genre_scores_gemma":[0.8074519,0.002673153,0.17970018,0.0001939827,0.000115901006,0.006661081,0.00025196298,0.00006362789,0.002888208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885833,0.000019945974,0.0003375071,0.00035051396,0.000135365,0.00029835568],"domain_scores_gemma":[0.99701077,0.0002445364,0.0002468679,0.0020337813,0.00038208996,0.0000819553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014156757,0.00021337472,0.00018858227,0.0000611039,0.0004925908,0.000046309786,0.0013815238,0.0004872171,0.00011227576],"category_scores_gemma":[0.00021443193,0.0001646151,0.00013269098,0.000181679,0.00022113715,0.00020113969,0.00029411458,0.0006595577,0.0000075855687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006406234,0.0000775711,0.00013481526,0.000035750683,0.000037033973,2.1818717e-7,0.000069541435,0.0000059421054,0.9669839,0.028266057,0.0026999367,0.0016251733],"study_design_scores_gemma":[0.00037684658,0.000015278745,0.00004596166,0.00012214849,0.00003558091,0.0000030556,0.000036431135,0.000102416576,0.80220604,0.012713052,0.18405741,0.0002857856],"about_ca_topic_score_codex":0.000014451779,"about_ca_topic_score_gemma":0.00006290987,"teacher_disagreement_score":0.270594,"about_ca_system_score_codex":0.00012837489,"about_ca_system_score_gemma":0.00009251705,"threshold_uncertainty_score":0.6712809},"labels":[],"label_agreement":null},{"id":"W2460825465","doi":"10.1007/978-1-62703-360-2_9","title":"iTRAQ-Labeling for Biomarker Discovery","year":2013,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Canadian Institute for Theoretical Astrophysics","keywords":"Biomarker discovery; Biomarker; Proteomics; Proteome; Computational biology; Mass spectrometry; Computer science; Bioinformatics; Chemistry; Biology; Chromatography; Biochemistry","score_opus":0.029617971083671396,"score_gpt":0.42030306180564075,"score_spread":0.39068509072196933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460825465","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018332459,0.00028845426,0.97913325,0.0002749266,0.000026515228,0.00029142536,0.000014949165,0.00005814659,0.0015798599],"genre_scores_gemma":[0.0057973494,0.00003584782,0.99216974,0.00022652361,0.000020913722,0.0014093674,0.000037849208,0.000023089999,0.0002792918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991686,0.000055675984,0.00022289157,0.0002934049,0.000020538235,0.00023891326],"domain_scores_gemma":[0.9993706,0.00019041164,0.00006573321,0.0003104213,0.00003356963,0.000029310346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026603427,0.000112532485,0.00016452609,0.000046275243,0.000036628044,0.000016659853,0.00019404208,0.00017661274,0.00008988834],"category_scores_gemma":[0.00018065372,0.00010457336,0.00007391348,0.00009162504,0.0000655356,0.000040743555,0.00007251288,0.00012208614,0.0000040291948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004532213,0.000019623445,0.0002466425,0.000015722258,0.000009039227,3.767495e-7,0.000005101185,0.000006438202,0.9377428,0.016643004,0.000023668834,0.045282997],"study_design_scores_gemma":[0.0001535771,0.000009149144,0.000008977889,0.000008075087,0.000004527983,0.0000020424022,0.000010837195,0.0009751032,0.7735112,0.21764408,0.0075573483,0.000115096555],"about_ca_topic_score_codex":0.000034845,"about_ca_topic_score_gemma":0.0000010234037,"teacher_disagreement_score":0.20100108,"about_ca_system_score_codex":0.00002997311,"about_ca_system_score_gemma":0.000013139714,"threshold_uncertainty_score":0.4264378},"labels":[],"label_agreement":null},{"id":"W2462255611","doi":"10.1007/978-1-59745-117-8_11","title":"Analysis of Microdissected Cells by Two-Dimensional LC-MS Approaches","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Laser capture microdissection; Proteome; Chemistry; Stain; Chromatography; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Mass spectrometry; Qualitative analysis; Proteomics; Staining; Molecular biology; Computational biology; Biochemistry; Biology","score_opus":0.03163720720642875,"score_gpt":0.3675941466481492,"score_spread":0.33595693944172045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462255611","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35942286,0.00019802833,0.6394744,0.000023299946,0.0000059736776,0.0000617223,0.00004734112,0.000026632195,0.00073973427],"genre_scores_gemma":[0.0793143,0.000022062646,0.9202135,0.00005034329,0.0000060273806,0.000079003665,0.00020252877,0.000013780195,0.000098451215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989351,0.00015109731,0.00032425887,0.00035672754,0.000045895507,0.00018689467],"domain_scores_gemma":[0.9992533,0.00013226258,0.00014253925,0.0004005487,0.00003467648,0.000036695503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024327156,0.000132751,0.0003647026,0.00014647399,0.00003967591,0.0000015837886,0.00021873723,0.00017543464,0.00013684925],"category_scores_gemma":[0.000047100275,0.00012975125,0.00014544585,0.00056752097,0.0001925754,0.000009027564,0.00008560391,0.00014451206,9.1864575e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010824164,0.00008255682,0.0018726978,0.0000062927083,0.0001325888,0.0000027935096,0.00002489345,0.0007661842,0.99518394,0.0006820505,0.000018250481,0.001216899],"study_design_scores_gemma":[0.00015529206,0.000010526124,0.000045488036,0.0000027491537,0.00007648304,0.0000045287256,0.0000055574315,0.005155148,0.9916536,0.0024119117,0.00034856182,0.00013010664],"about_ca_topic_score_codex":0.00007457798,"about_ca_topic_score_gemma":0.0000028928287,"teacher_disagreement_score":0.2807391,"about_ca_system_score_codex":0.00002921111,"about_ca_system_score_gemma":0.000020839983,"threshold_uncertainty_score":0.52911025},"labels":[],"label_agreement":null},{"id":"W2462419944","doi":"10.1074/mcp.o116.058685","title":"High Sensitivity Crosslink Detection Coupled With Integrative Structure Modeling in the Mass Spec Studio","year":2016,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spec#; Sensitivity (control systems); Studio; Chemistry; Computer science; Engineering; Programming language","score_opus":0.0074421162923076125,"score_gpt":0.21963157879356976,"score_spread":0.21218946250126214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462419944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50094706,0.000022908749,0.49822772,0.00019579429,0.000008245325,0.00046819475,0.000025044605,0.00005705146,0.00004798004],"genre_scores_gemma":[0.9146436,0.000020485892,0.084766924,0.00006685307,0.00006897461,0.00030967893,0.000024444013,0.000052892286,0.000046165176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984995,0.00007443786,0.00029831994,0.0005188395,0.00027011774,0.00033878587],"domain_scores_gemma":[0.9989048,0.00004903657,0.00016752178,0.0006889168,0.00013851104,0.000051209037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002694241,0.00031784808,0.00026761653,0.000051284856,0.0001860848,0.00006826571,0.00026809316,0.00020351811,0.000022724184],"category_scores_gemma":[0.000048408907,0.00018403877,0.00008354111,0.00022212663,0.0001235076,0.00010878853,0.00006618094,0.00051992043,0.0000042011316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008678903,0.00003432754,0.00005735353,0.000018255307,0.00002524841,0.000065465516,0.00014230738,0.004814642,0.9924206,0.0014660578,6.4131297e-7,0.000868321],"study_design_scores_gemma":[0.00062118727,0.000038798713,0.0000045572674,0.00007643008,0.000025183383,0.000025585785,0.00014533364,0.039337754,0.94538057,0.014021684,0.00003944233,0.00028344407],"about_ca_topic_score_codex":0.00014159198,"about_ca_topic_score_gemma":0.00016306915,"teacher_disagreement_score":0.4136965,"about_ca_system_score_codex":0.00022090657,"about_ca_system_score_gemma":0.000055468285,"threshold_uncertainty_score":0.75048834},"labels":[],"label_agreement":null},{"id":"W2462601922","doi":"10.1016/j.dib.2016.06.013","title":"Human lung epithelial cell A549 proteome data after treatment with titanium dioxide and carbon black","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada; University of Ottawa","funders":"Health Canada; Clean Air Regulatory Agenda","keywords":"RefSeq; Proteome; A549 cell; Proteomics; Mass spectrometry; Chemistry; Human lung; Carbon black; Titanium dioxide; Carbon dioxide; Lung; Biochemistry; Cell; Chromatography; Medicine; Internal medicine; Materials science; Gene","score_opus":0.02045914537911959,"score_gpt":0.2796478373803022,"score_spread":0.2591886920011826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462601922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98082656,0.00014213072,0.0048243753,0.00047486112,0.000007964559,0.00072806067,0.009533169,0.0001239176,0.0033389356],"genre_scores_gemma":[0.97580016,0.00021569988,0.020457631,0.00003817415,0.00014312669,0.00039091904,0.0013691386,0.000047498845,0.0015376807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890757,0.0000061614323,0.00017510737,0.00061311136,0.00009409041,0.00020398153],"domain_scores_gemma":[0.997411,0.00002093108,0.000073614996,0.002420715,0.000012897861,0.000060853177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007279945,0.00016006404,0.00015100316,0.000021829024,0.00003766056,0.000025242012,0.0005275259,0.000069655165,0.000080765385],"category_scores_gemma":[0.000006567566,0.00010746583,0.000008035348,0.000049334514,0.00011810969,0.00022604146,0.0005782376,0.000081761325,0.000005205566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010561754,0.00021498205,0.01625286,0.00010224387,0.000025420579,0.00003931714,0.0000585306,4.4994647e-7,0.9799813,0.00018599324,0.00037448894,0.0026588142],"study_design_scores_gemma":[0.0022943304,0.00011943091,0.002029517,0.00026374997,0.000074399926,0.000016588221,0.00003275445,0.0003620817,0.9064693,0.0007606848,0.08699924,0.000577959],"about_ca_topic_score_codex":0.0003704903,"about_ca_topic_score_gemma":0.0002524224,"teacher_disagreement_score":0.08662475,"about_ca_system_score_codex":0.00008081568,"about_ca_system_score_gemma":0.000026832815,"threshold_uncertainty_score":0.43823293},"labels":[],"label_agreement":null},{"id":"W2463198732","doi":"10.1515/cclm-2016-0390","title":"An integrated proteomic and peptidomic assessment of the normal human urinome","year":2016,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; St Joseph's Health Centre; University of Toronto; St. Michael's Hospital; Mount Sinai Hospital","funders":"","keywords":"Proteomics; Proteome; Biomarker discovery; Computational biology; Biology; Biomarker; Tandem mass tag; Urine; Tandem mass spectrometry; Glycomics; Quantitative proteomics; Human proteome project; Bioinformatics; Mass spectrometry; Chemistry; Biochemistry; Chromatography; Gene","score_opus":0.021640614421890053,"score_gpt":0.36765365434935965,"score_spread":0.34601303992746957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463198732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963405,0.00008084875,0.0007590584,0.0007597645,0.00002187248,0.00017721295,0.00009311703,0.00006826285,0.0016993728],"genre_scores_gemma":[0.99687314,0.00017641576,0.0018777933,0.00010472001,0.0003167914,0.000085096915,0.000016471167,0.000020731673,0.0005288144],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998585,0.000041011714,0.0006428194,0.00041004852,0.00014091094,0.00018023148],"domain_scores_gemma":[0.9985462,0.0001516821,0.00033476393,0.00062509126,0.00013993029,0.00020236004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048114828,0.00019378786,0.00035546764,0.000008756812,0.00014177458,0.000008382704,0.00030472063,0.00023104978,0.00042286539],"category_scores_gemma":[0.0001767498,0.00010810363,0.000046346762,0.000106614294,0.001122494,0.000085043546,0.00011007205,0.00043205442,5.3511997e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024431112,0.00009280033,0.03658048,0.000136333,0.00001775558,0.0000012379143,0.000017134362,3.148972e-7,0.9612264,0.0003853099,0.00018614177,0.0013316594],"study_design_scores_gemma":[0.0026682897,0.00016915747,0.017666087,0.00063097413,0.0000891277,0.000012810158,0.00018126123,0.000060094077,0.96594745,0.0016723173,0.010562408,0.00034002878],"about_ca_topic_score_codex":0.000007756319,"about_ca_topic_score_gemma":0.0000011309878,"teacher_disagreement_score":0.018914394,"about_ca_system_score_codex":0.000034633584,"about_ca_system_score_gemma":0.00011621529,"threshold_uncertainty_score":0.46300793},"labels":[],"label_agreement":null},{"id":"W2464297356","doi":"10.1002/9780470015902.a0002686.pub3","title":"Gel‐Staining Techniques – Dyeing to Know It All","year":2016,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Staining; Coomassie Brilliant Blue; Stain; Chromatography; Quantitative proteomics; Chemistry; Proteomics; Computer science; Biochemistry; Pathology; Medicine","score_opus":0.01577875105032954,"score_gpt":0.3212378350383922,"score_spread":0.30545908398806265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464297356","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006664182,0.0005086279,0.009482183,0.0012026443,0.000065186054,0.00028552432,0.000086713146,0.00052729907,0.9877752],"genre_scores_gemma":[0.00035575556,0.006020754,0.27559325,0.00043203754,0.00087559526,0.0003747775,0.000010344858,0.00020885312,0.71612865],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829525,0.000011311776,0.00038577875,0.0005723355,0.00035950466,0.00037582693],"domain_scores_gemma":[0.99879396,0.000100831116,0.0004204432,0.00046782833,0.00004399666,0.00017297061],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027630557,0.00027269323,0.00035457913,0.00023881556,0.000102356695,0.000021098318,0.000980788,0.00024287512,0.0036477868],"category_scores_gemma":[0.00017073627,0.00021741186,0.00008591241,0.00023202006,0.00032149514,0.00008235119,0.0002482565,0.00017265588,0.00010076926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004718285,0.000036536556,0.00041383,0.00014432424,0.000020494788,0.0000018172242,0.00015457637,0.0000014414161,0.009847746,0.004636987,0.95499116,0.029746344],"study_design_scores_gemma":[0.000039100676,0.000025608386,6.959101e-7,0.0005775364,0.000009933902,0.0000010142497,0.0000856888,0.0000025322302,0.016792445,0.001754368,0.9804013,0.00030978766],"about_ca_topic_score_codex":0.00009137711,"about_ca_topic_score_gemma":0.000030256007,"teacher_disagreement_score":0.27164656,"about_ca_system_score_codex":0.00004090125,"about_ca_system_score_gemma":0.00020428393,"threshold_uncertainty_score":0.997263},"labels":[],"label_agreement":null},{"id":"W2467387144","doi":"10.1007/978-1-61779-148-2_2","title":"Metabolic Labeling of Model Organisms Using Heavy Nitrogen (15N)","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Caenorhabditis elegans; Isotopic labeling; Quantitative proteomics; Biochemistry; Biology; Isotopes of nitrogen; Proteomics; Amino acid; Stable isotope ratio; Computational biology; Chemistry; Derivatization; Metabolic pathway; Catabolism; Isotope; Metabolism; Mass spectrometry; Gene; Chromatography; Nitrogen","score_opus":0.0678086298798131,"score_gpt":0.40961644864437174,"score_spread":0.3418078187645586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467387144","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12248235,0.00046946644,0.8756982,0.0000070531814,0.000009555728,0.00008431127,0.000011511483,0.000041196614,0.0011963657],"genre_scores_gemma":[0.031941745,0.00006109952,0.9678431,0.00006108462,0.000008722892,0.000038055496,0.0000067947644,0.00002822578,0.000011155619],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908876,0.00009150509,0.00031199635,0.00026216567,0.00003343942,0.00021212369],"domain_scores_gemma":[0.99935895,0.000032950033,0.0001325036,0.0003911162,0.000049595616,0.00003485485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003368616,0.00012627576,0.00027418445,0.00007121041,0.000029242134,0.0000019645056,0.00025341776,0.00019491027,0.00007218537],"category_scores_gemma":[0.00008235864,0.00012756255,0.00007086081,0.0001692655,0.00009340331,0.000017746459,0.00013099275,0.00018087139,8.269317e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009036878,0.000038932336,0.00058633235,0.000010251139,0.000019138017,0.0000012335427,0.00006632935,0.000233807,0.960727,0.035481837,1.4140821e-7,0.0028259717],"study_design_scores_gemma":[0.000090563764,0.0000066869775,7.0382305e-7,0.000006438286,0.000020096413,0.0000043466266,0.000015096128,0.008894041,0.73797464,0.25284562,0.00004935325,0.0000924054],"about_ca_topic_score_codex":0.00008929079,"about_ca_topic_score_gemma":0.0000016130806,"teacher_disagreement_score":0.22275235,"about_ca_system_score_codex":0.000023189616,"about_ca_system_score_gemma":0.00003640432,"threshold_uncertainty_score":0.520185},"labels":[],"label_agreement":null},{"id":"W2468396337","doi":"10.1021/acs.jproteome.6b00199","title":"Automated SDS Depletion for Mass Spectrometry of Intact Membrane Proteins though Transmembrane Electrophoresis","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Proteome; Chromatography; Membrane protein; Chemistry; Sodium dodecyl sulfate; Transmembrane protein; Lysis; Mass spectrometry; Gel electrophoresis; Two-dimensional gel electrophoresis; Tandem mass spectrometry; Membrane; Proteomics; Biochemistry","score_opus":0.035910611437655074,"score_gpt":0.36506574916169043,"score_spread":0.3291551377240354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468396337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50278187,0.00034488947,0.48998925,0.0035618711,0.000024203086,0.0020662867,0.00011935579,0.00017436568,0.0009378971],"genre_scores_gemma":[0.73396754,0.0008204827,0.26379982,0.0000046947785,0.00026404992,0.0005136724,0.0000042588395,0.000059431517,0.00056603434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731654,0.00009639466,0.0008493255,0.00027724289,0.0008753734,0.000585141],"domain_scores_gemma":[0.99737376,0.00038907214,0.00052924384,0.0004343167,0.0011019207,0.00017168744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019175947,0.00018784133,0.00046188897,0.00050408684,0.000154313,0.00003276825,0.00064714387,0.00022375617,0.00035738735],"category_scores_gemma":[0.00055115763,0.0001279152,0.00027442322,0.0007063826,0.00018091044,0.00023738338,0.00004351796,0.00061513955,0.0000054375873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082408445,0.00017211147,0.00006403146,0.00048657376,0.000080399295,0.0000072732764,0.00003054389,0.000004838139,0.9949083,0.0010271543,0.00020525165,0.0021894386],"study_design_scores_gemma":[0.0012555872,0.0007006247,0.00005159485,0.00041322227,0.000022126844,0.000057039888,0.000031199903,0.00018097922,0.9806106,0.014520716,0.0020044441,0.00015187277],"about_ca_topic_score_codex":0.000012450308,"about_ca_topic_score_gemma":0.000001836901,"teacher_disagreement_score":0.23118569,"about_ca_system_score_codex":0.00036637476,"about_ca_system_score_gemma":0.00032309693,"threshold_uncertainty_score":0.5216231},"labels":[],"label_agreement":null},{"id":"W2468776262","doi":"10.1186/s12014-016-9118-9","title":"A proteomic evaluation of urinary changes associated with cardiopulmonary bypass","year":2016,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Boniface Hospital; University of Manitoba; Health Sciences Centre","funders":"Canadian Institutes of Health Research; Kidney Foundation of Canada; Research Manitoba","keywords":"Proteome; Cardiopulmonary bypass; Population; Urinary system; Proteomics; Chemistry; Computational biology; Medicine; Biology; Bioinformatics; Internal medicine; Biochemistry","score_opus":0.0724892809793645,"score_gpt":0.3660140376906097,"score_spread":0.2935247567112452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468776262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794709,0.000054320877,0.015247857,0.001028139,0.000032346547,0.0015284405,0.0001345129,0.00020243239,0.002301042],"genre_scores_gemma":[0.9708945,0.00012141637,0.026398482,0.000044777044,0.00018399775,0.0018289211,0.000034436616,0.000057351266,0.00043612067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791497,0.00012650019,0.00066624314,0.0005265085,0.00046783802,0.00029794747],"domain_scores_gemma":[0.99773055,0.0002479326,0.0006553986,0.0007514286,0.0004929957,0.000121675665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015857097,0.00022812848,0.00045853114,0.00004634014,0.000088944464,0.000009759991,0.00035741128,0.0003364826,0.00015733417],"category_scores_gemma":[0.00088621536,0.00015540325,0.00015217015,0.00015424682,0.0003457414,0.00010326007,0.0001344897,0.00029632892,0.000012708307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011235054,0.001767555,0.06268964,0.00016592137,0.00048606857,0.000013987499,0.000058644615,0.00008623089,0.8262334,0.0016135775,0.00039227228,0.10536922],"study_design_scores_gemma":[0.007045446,0.00121108,0.013492611,0.0015231817,0.0005936304,0.000043870914,0.00004393134,0.0027103731,0.93595964,0.03458252,0.0016733754,0.0011203528],"about_ca_topic_score_codex":0.000006291019,"about_ca_topic_score_gemma":0.000003895838,"teacher_disagreement_score":0.10972624,"about_ca_system_score_codex":0.00019796437,"about_ca_system_score_gemma":0.00023919734,"threshold_uncertainty_score":0.63371605},"labels":[],"label_agreement":null},{"id":"W2469365140","doi":"10.1385/1-59745-214-9:67","title":"A Method for the Effective Depletion of Albumin From Cellular Extracts: Application to Human Myocardium","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Albumin; Human albumin; Cytoplasm; Bovine serum albumin; Serum albumin; Human serum albumin; Chemistry; Biochemistry; Biology","score_opus":0.01949925124270742,"score_gpt":0.309630977649809,"score_spread":0.2901317264071016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469365140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010556868,0.00037896362,0.97643787,0.000028311948,0.000008616882,0.001564823,0.000119505734,0.000117739866,0.010787279],"genre_scores_gemma":[0.842439,0.0000064969086,0.14596738,0.000055018605,0.00036471625,0.009800441,0.0001674706,0.000053183434,0.0011462716],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991271,0.000018944052,0.0002685874,0.00031714694,0.00011442695,0.00015378441],"domain_scores_gemma":[0.9988684,0.00024723567,0.00019339738,0.00057514466,0.00008547199,0.00003036886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015256875,0.0001391315,0.00017381438,0.000023376904,0.00019851541,0.000022193202,0.0002800307,0.000096793105,0.0000091917655],"category_scores_gemma":[0.000008850232,0.000121446996,0.00010718084,0.000016503096,0.000043703014,0.00002368434,0.00006469391,0.000112474605,0.0000013535947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027308326,0.000035186575,0.0000052691958,0.000043075488,0.000028953857,1.313916e-7,0.00010417256,0.00028503683,0.91722,0.045252353,0.00040166744,0.036596876],"study_design_scores_gemma":[0.00021433046,0.000016023901,0.0000632692,0.00001955974,0.00006249097,2.5543008e-7,0.000017129118,0.00094449986,0.8558145,0.028747734,0.11397834,0.000121857316],"about_ca_topic_score_codex":0.0021968065,"about_ca_topic_score_gemma":0.000069645204,"teacher_disagreement_score":0.8318822,"about_ca_system_score_codex":0.000044937082,"about_ca_system_score_gemma":0.0000057659186,"threshold_uncertainty_score":0.4952465},"labels":[],"label_agreement":null},{"id":"W2472781120","doi":"10.1007/978-1-59745-493-3_14","title":"Integrating Accelerated Tryptic Digestion into Proteomics Workflows","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Proteomics; Digestion (alchemy); Workflow; Computer science; Computational biology; Chemistry; Chromatography; Biology; Biochemistry; Database","score_opus":0.024914653402587302,"score_gpt":0.4093293430470127,"score_spread":0.3844146896444254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472781120","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07050263,0.00012865376,0.9260858,0.00037489086,0.000018979063,0.0002469678,0.0000017684591,0.00014657505,0.0024937133],"genre_scores_gemma":[0.05641284,0.000033754448,0.94292825,0.0002379419,0.00003269882,0.0002457716,0.00004114001,0.000017600025,0.000049976246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988287,0.0001499853,0.00034868615,0.0003758993,0.000037830952,0.00025889257],"domain_scores_gemma":[0.99934345,0.00007656154,0.00012253829,0.00036522173,0.00004668535,0.000045543333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037687525,0.00017543441,0.00023443531,0.00008097035,0.00006573707,0.0000195483,0.00026677284,0.00029939512,0.000046263503],"category_scores_gemma":[0.00035451513,0.00016799157,0.000060353414,0.0002892642,0.000059856917,0.000033138334,0.000054082415,0.00045333288,0.0000028921386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013340274,0.000035277735,0.000178843,0.0000063507982,0.0000038299645,0.0000031868924,0.000041745887,0.0000678355,0.855067,0.019214006,0.0000017456163,0.12536684],"study_design_scores_gemma":[0.00014479051,0.000035725454,0.000018346826,0.000029444864,0.000004546283,0.000005246241,0.000017414472,0.0019704518,0.76201016,0.2349103,0.0007033292,0.00015025646],"about_ca_topic_score_codex":0.000022028033,"about_ca_topic_score_gemma":0.0000031310478,"teacher_disagreement_score":0.21569629,"about_ca_system_score_codex":0.000106250285,"about_ca_system_score_gemma":0.000028960138,"threshold_uncertainty_score":0.6850498},"labels":[],"label_agreement":null},{"id":"W2473178036","doi":"10.1007/978-1-61779-276-2_6","title":"Studying Binding Specificities of Peptide Recognition Modules by High-Throughput Phage Display Selections","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Computational biology; Phage display; Peptide; Profiling (computer programming); Peptide library; Genome; Biology; Gene; Peptide sequence; Computer science; Genetics; Biochemistry","score_opus":0.0561964883321013,"score_gpt":0.37351024086821116,"score_spread":0.3173137525361099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473178036","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25770643,0.00011851214,0.73890865,0.00001109916,0.00002551537,0.000113302296,0.00007763639,0.000056370405,0.002982482],"genre_scores_gemma":[0.11682506,0.00012708067,0.8825577,0.000017598963,0.000018124643,0.00021021739,0.00009975472,0.000023458248,0.0001210115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989193,0.00014968439,0.0003503523,0.0003238572,0.000040870735,0.0002159548],"domain_scores_gemma":[0.99937004,0.00011040449,0.00017364042,0.00027343686,0.00004515965,0.000027299235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032857238,0.00014279284,0.00024263238,0.000094769195,0.000070633294,0.0000048392108,0.00017751579,0.00016510088,0.00017144348],"category_scores_gemma":[0.000095561634,0.00014794634,0.00006254264,0.00020130446,0.00013815108,0.00003752552,0.000077839955,0.0002288453,0.0000029236533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011570378,0.00008503413,0.00054228463,0.000020864782,0.00002203797,0.0000015943702,0.0001436617,0.0000046875607,0.98099464,0.006763492,0.000015507794,0.0113946125],"study_design_scores_gemma":[0.00014789174,0.00003502588,0.000020313797,0.000023859511,0.000015260688,0.0000047380436,0.00020010726,0.00006254322,0.9208929,0.07792953,0.0005249351,0.00014288105],"about_ca_topic_score_codex":0.000163026,"about_ca_topic_score_gemma":0.0000070487877,"teacher_disagreement_score":0.14364904,"about_ca_system_score_codex":0.00005254348,"about_ca_system_score_gemma":0.000009906799,"threshold_uncertainty_score":0.60330766},"labels":[],"label_agreement":null},{"id":"W2473240951","doi":"10.1186/s12864-016-2787-y","title":"Variants in ACPP are associated with cerebrospinal fluid Prostatic Acid Phosphatase levels","year":2016,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Francisco; University of California, San Diego; National Institutes of Health; IXICO; Servier; University of California, Davis; Eisai; Genentech; Erasmus Medisch Centrum; Bundesministerium für Bildung und Forschung; Hjartavernd; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Pennsylvania; University of Southern California; Brigham Young University; Wellcome Trust; Synarc; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health; Medpace; Brigham and Women's Hospital; Alzheimer's Disease Neuroimaging Initiative; Medical Research Council; Meso Scale Diagnostics","keywords":"Cerebrospinal fluid; Biology; Proteomics; Acid phosphatase; DNA microarray; Phosphatase; Prostatic acid phosphatase; Computational biology; Pathology; Biochemistry; Enzyme; Medicine; Gene; Neuroscience; Gene expression","score_opus":0.023841670382632643,"score_gpt":0.2582542572382605,"score_spread":0.23441258685562788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473240951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9345579,0.00012521427,0.06303294,0.00016205516,0.000013895274,0.00038450884,0.0010215687,0.00014946958,0.0005524395],"genre_scores_gemma":[0.9504872,0.000034171368,0.048303176,0.00006358327,0.000032298914,0.00026302238,0.000058635997,0.00004692657,0.0007109795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989603,0.000010493962,0.00026484273,0.00034365788,0.0001044925,0.00031619208],"domain_scores_gemma":[0.99916697,0.000055469314,0.00021485188,0.0004261409,0.000055961595,0.0000806166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010023079,0.00017876073,0.00019763397,0.000030198884,0.00007767147,0.000025158148,0.00024166185,0.000115277144,0.00018537352],"category_scores_gemma":[0.00009344207,0.0001362294,0.00003462081,0.00011986595,0.000059738086,0.0001002545,0.00007257472,0.000120606026,0.00004077994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001986572,0.00028487024,0.049075082,0.00008879853,0.000036478847,0.000019350746,0.00013918805,0.000070941285,0.9442264,0.002741197,0.00034199757,0.0027770277],"study_design_scores_gemma":[0.0018541389,0.00004600303,0.013218188,0.00030018427,0.000022409857,0.0000106393845,0.00008651284,0.00022928498,0.97535056,0.0071967356,0.0012400609,0.00044530898],"about_ca_topic_score_codex":0.0000116703295,"about_ca_topic_score_gemma":0.000104466715,"teacher_disagreement_score":0.035856895,"about_ca_system_score_codex":0.0003328742,"about_ca_system_score_gemma":0.00013256879,"threshold_uncertainty_score":0.5555274},"labels":[],"label_agreement":null},{"id":"W2474506578","doi":"10.1080/14789450.2016.1205950","title":"Clinical translation of MS-based, quantitative plasma proteomics: status, challenges, requirements, and potential","year":2016,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; University of Alberta","funders":"Health Research Board","keywords":"Proteomics; Computational biology; Quantitative proteomics; Translation (biology); Computer science; Medicine; Chemistry; Biology; Biochemistry","score_opus":0.11243671350366176,"score_gpt":0.44231501884724295,"score_spread":0.3298783053435812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474506578","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004854261,0.925425,0.06864598,0.0001769147,0.00006170464,0.004424338,0.00067157694,0.00007147736,0.0005181601],"genre_scores_gemma":[7.7323665e-7,0.5930627,0.40479952,0.000022336877,0.000132378,0.0016888535,0.00018879335,0.000082108025,0.000022568482],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948058,0.0002448957,0.0031567882,0.0009496209,0.00041072894,0.00043218152],"domain_scores_gemma":[0.9948352,0.00033153463,0.0032087856,0.001143863,0.00029449724,0.00018611437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010374435,0.0007204029,0.0032579212,0.00012905514,0.00007948229,0.00001350231,0.0005974412,0.00067852525,0.00018106628],"category_scores_gemma":[0.00029895708,0.0005563816,0.00095804833,0.0001687633,0.00042875952,0.00016337642,0.00015371361,0.0005950577,0.000009698884],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058924867,0.00017327318,9.3528087e-7,0.16874644,0.00016735416,0.0000015166812,0.000024657222,1.6075646e-7,0.0014570302,0.0018118242,0.00012436324,0.8274335],"study_design_scores_gemma":[0.00056306296,0.0001877335,9.746832e-8,0.21194087,0.0003337639,0.000009708401,0.00001004997,0.00003526412,0.003926785,0.00047060451,0.78196275,0.00055929594],"about_ca_topic_score_codex":0.000010421575,"about_ca_topic_score_gemma":0.0000018935394,"teacher_disagreement_score":0.8268742,"about_ca_system_score_codex":0.00014894134,"about_ca_system_score_gemma":0.000567901,"threshold_uncertainty_score":0.99968874},"labels":[],"label_agreement":null},{"id":"W2477755814","doi":"10.1385/1-59259-890-0:407","title":"Mass-Coded Abundance Tagging for Protein Identification and Relative Abundance Determination in Proteomic Experiments","year":2005,"lang":"en","type":"book-chapter","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mass spectrometry; Proteomics; Bottom-up proteomics; Peptide mass fingerprinting; Tandem mass spectrometry; Proteome; Chemistry; Protein mass spectrometry; Computational biology; Isobaric labeling; Electrospray ionization; Sequence database; Peptide; Tandem mass tag; Mass spectrum; Protein sequencing; Chromatography; Quantitative proteomics; Peptide sequence; Biology; Biochemistry","score_opus":0.04451420557326534,"score_gpt":0.3119234489559379,"score_spread":0.2674092433826725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477755814","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064660697,0.0040191296,0.17652097,0.00010731244,0.00006891699,0.01362089,0.0004420162,0.0007402636,0.7980144],"genre_scores_gemma":[0.05455633,0.0003332214,0.105966955,0.00004225946,0.00026581396,0.016537977,0.00023179787,0.00027231063,0.8217933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980517,0.000008859009,0.0006653854,0.0007962703,0.0001963322,0.00028146736],"domain_scores_gemma":[0.99845487,0.0000318824,0.0007667304,0.0005795083,0.00010838508,0.000058642017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014587281,0.00041204414,0.00036825967,0.00011616875,0.00022085627,0.00009863955,0.00030527642,0.00040674297,0.000030359262],"category_scores_gemma":[0.000019023586,0.0004967533,0.000091037284,0.0000070443343,0.00016315957,0.00020787072,0.000088986315,0.000445431,0.0000033161693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010312632,0.00003106259,0.0000010458181,0.00065091386,0.000039438775,0.000003402432,0.00064985466,0.000015282823,0.38560885,0.5473134,0.00004038447,0.06554324],"study_design_scores_gemma":[0.0007679288,0.000026644078,0.000002301749,0.0011697898,0.000043242922,0.0000031413028,0.000010112657,0.0016911773,0.71314293,0.20753297,0.074909754,0.0006999913],"about_ca_topic_score_codex":0.000018867902,"about_ca_topic_score_gemma":0.000019541007,"teacher_disagreement_score":0.33978042,"about_ca_system_score_codex":0.0003109234,"about_ca_system_score_gemma":0.000033852673,"threshold_uncertainty_score":0.9997484},"labels":[],"label_agreement":null},{"id":"W2483133705","doi":"10.1007/978-1-59745-198-7_46","title":"Zn2+-Reverse Staining Technique","year":2009,"lang":"en","type":"book-chapter","venue":"Springer protocols handbooks/Springer protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Institutes of Health Research; Heart and Stroke Foundation","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Staining; Posttranslational modification; Chemistry; Protein detection; Proteomics; Molecular biology; Computational biology; Biochemistry; Biology; Nanotechnology; Materials science; Gene; Enzyme","score_opus":0.035775888012309714,"score_gpt":0.3226940103184475,"score_spread":0.2869181223061378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483133705","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000026171463,0.000049269787,0.018462427,0.00011934505,0.000020435848,0.5170687,0.00013344061,0.0021493982,0.46199438],"genre_scores_gemma":[0.000022449207,0.000023313936,0.07817922,0.00026522143,0.00065345067,0.66706145,0.000057665613,0.00057016726,0.25316703],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9913475,0.00004916888,0.002503665,0.0029028128,0.0013862266,0.0018106473],"domain_scores_gemma":[0.99186784,0.00013440268,0.0022979018,0.0043623312,0.00061644777,0.00072108273],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001023921,0.0024079378,0.0021514995,0.00057544827,0.00068411074,0.0005718716,0.0026369095,0.002436982,0.0040474855],"category_scores_gemma":[0.00010337202,0.0025902095,0.0010743823,0.0001682937,0.00050420035,0.00049479725,0.0011856953,0.0037725696,0.00055038946],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019356798,0.0011598141,0.00026811665,0.00920492,0.00083528925,0.00063480216,0.00050252135,0.00008330125,0.38113084,0.33797765,0.007480505,0.25878656],"study_design_scores_gemma":[0.0011880384,0.00024763867,0.000002198543,0.008513243,0.00006266319,0.000048687445,0.0000056648933,0.000017095486,0.2665483,0.053745575,0.6676467,0.0019742104],"about_ca_topic_score_codex":0.000023063425,"about_ca_topic_score_gemma":0.000010167555,"teacher_disagreement_score":0.6601662,"about_ca_system_score_codex":0.0011016397,"about_ca_system_score_gemma":0.00076261954,"threshold_uncertainty_score":0.9988658},"labels":[],"label_agreement":null},{"id":"W2483254246","doi":"10.1186/s12858-016-0073-x","title":"Avoiding false discovery in biomarker research","year":2016,"lang":"en","type":"article","venue":"BMC Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto; Ted Rogers Centre for Heart Research; Hospital for Sick Children","funders":"","keywords":"Biomarker; Western blot; Recombinant DNA; Cardiac surgery; Medicine; Biology; Pathology; Molecular biology; Internal medicine; Biochemistry; Gene","score_opus":0.06709441636519092,"score_gpt":0.36677676988920754,"score_spread":0.2996823535240166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483254246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96702534,0.00027960778,0.01730483,0.00028896856,0.0000108754175,0.0000960502,0.000058835845,0.00012717501,0.014808311],"genre_scores_gemma":[0.98200876,0.000115579736,0.0066095022,0.000011438355,0.00009174724,0.00024373567,0.000014079179,0.000027118218,0.010878033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987368,0.000023252698,0.00023348664,0.00043232492,0.00019313631,0.00038098043],"domain_scores_gemma":[0.99893606,0.00031131314,0.00005482647,0.00056907965,0.000052640196,0.000076063414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047443595,0.0001313362,0.00011631783,0.00005021314,0.00013735371,0.000038278842,0.0003416956,0.00019249794,0.0002687062],"category_scores_gemma":[0.0003825989,0.00010186444,0.00005928828,0.00022132734,0.00016305973,0.000119176504,0.0001929328,0.00034377188,0.000040767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027137303,0.000050465256,0.006575447,0.0000736734,0.0000028687089,0.0000036511713,0.000008679078,3.367708e-7,0.9893851,0.0006994293,0.00057805673,0.0025951522],"study_design_scores_gemma":[0.0002698997,0.000002138798,0.00015161878,0.00022708981,0.0000015009739,0.000008885412,0.00008958213,0.000018529085,0.9900733,0.005281488,0.003707479,0.00016847401],"about_ca_topic_score_codex":0.000021248456,"about_ca_topic_score_gemma":0.0000071773097,"teacher_disagreement_score":0.014983419,"about_ca_system_score_codex":0.0002108765,"about_ca_system_score_gemma":0.000086130174,"threshold_uncertainty_score":0.41539115},"labels":[],"label_agreement":null},{"id":"W2483323917","doi":"10.1007/978-1-61779-148-2","title":"Gel-Free Proteomics","year":2011,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre for Blood Research, University of British Columbia; Norges Miljø- og Biovitenskapelige Universitet; Technion-Israel Institute of Technology; Universitetet i Oslo; Université de Montréal; Branco Weiss Fellowship – Society in Science; Universiteit Gent; Universiteit van Amsterdam; Institut National de la Santé et de la Recherche Médicale; University of Ottawa","keywords":"Proteomics; Proteome; Mass spectrometry; Two-dimensional gel electrophoresis; Computational biology; Chemistry; Computer science; Biology; Chromatography; Bioinformatics; Biochemistry","score_opus":0.029357246563538855,"score_gpt":0.3844763806380861,"score_spread":0.35511913407454726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483323917","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008486458,0.00049509277,0.61840516,0.000035031502,0.000033872875,0.00029801062,0.00006617287,0.00010545648,0.38055274],"genre_scores_gemma":[7.4853114e-7,0.00022098594,0.8519925,0.00015600756,0.0000885198,0.00079306075,0.00018228256,0.0000993799,0.14646654],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819577,0.00012689971,0.0005103842,0.00072354317,0.000058823443,0.00038457842],"domain_scores_gemma":[0.9977975,0.00010744817,0.00032659704,0.001642688,0.000057203586,0.000068549205],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00047800774,0.00039700852,0.0005786823,0.00014187238,0.000039821272,0.000008594718,0.0011332044,0.0014009699,0.00049157767],"category_scores_gemma":[0.00023818058,0.00041480386,0.00019340444,0.00007389297,0.00023557317,0.0000135061355,0.0005921799,0.001105605,0.000018888291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017329608,0.000034618224,0.000014270118,0.0000977002,0.000039415885,0.000020304951,0.000019831767,0.0000017332746,0.76355755,0.21919967,0.0006265894,0.016370958],"study_design_scores_gemma":[0.000113565555,0.000014382201,1.1894873e-7,0.000036191188,0.000014706026,0.000008355973,9.242911e-7,0.000010113434,0.34679085,0.46704918,0.1857256,0.00023603051],"about_ca_topic_score_codex":0.000017931095,"about_ca_topic_score_gemma":0.000004241891,"teacher_disagreement_score":0.41676673,"about_ca_system_score_codex":0.00021405824,"about_ca_system_score_gemma":0.00018184743,"threshold_uncertainty_score":0.9998954},"labels":[],"label_agreement":null},{"id":"W2484020400","doi":"10.1007/978-1-62703-266-7_7","title":"Proteomic Approaches for the Study of Electrical Synapses and Associated Protein-Interaction Complexes","year":2012,"lang":"en","type":"book-chapter","venue":"Neuromethods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Neuroscience; Computational biology; Protein–protein interaction; Chemistry; Computer science; Biophysics; Biology; Cell biology","score_opus":0.10095647159844405,"score_gpt":0.34326520077162254,"score_spread":0.24230872917317847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484020400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46367696,0.0037916368,0.31123737,0.000970715,0.00029775078,0.053224772,0.0013889618,0.001782381,0.16362946],"genre_scores_gemma":[0.6624555,0.0005183893,0.22222032,0.0000678769,0.00068685244,0.013572969,0.00018682002,0.00053097366,0.09976029],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882126,0.000041720512,0.00039508508,0.00038218588,0.00015908481,0.00020065936],"domain_scores_gemma":[0.9982734,0.0005862085,0.0005753546,0.0004429553,0.00007653141,0.000045601355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031317258,0.0002838064,0.00043236997,0.00006769435,0.00017170912,0.00002582625,0.00025191522,0.0002536573,0.00006026955],"category_scores_gemma":[0.00015931108,0.00022083965,0.00011457173,0.00004206071,0.00009346831,0.0000494574,0.00011386918,0.0005825574,6.924745e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006034657,0.0017111703,0.000289031,0.0008786375,0.0010450222,0.000002298427,0.0005290561,0.00003636478,0.57921576,0.101540275,0.0003417289,0.31380716],"study_design_scores_gemma":[0.003506272,0.0029267715,0.00088065123,0.0006854394,0.0023777373,0.000094034076,0.00026597784,0.0049607796,0.6893482,0.16451564,0.12785868,0.002579759],"about_ca_topic_score_codex":0.000011495231,"about_ca_topic_score_gemma":0.000002024627,"teacher_disagreement_score":0.3112274,"about_ca_system_score_codex":0.00005497799,"about_ca_system_score_gemma":0.000020753198,"threshold_uncertainty_score":0.90055794},"labels":[],"label_agreement":null},{"id":"W2486797327","doi":"10.1074/mcp.o116.058438","title":"Proteoform-Specific Insights into Cellular Proteome Regulation","year":2016,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Computational biology; Proteome; Human proteome project; Proteomics; Biology; Bioinformatics; Gene; Genetics","score_opus":0.007658394315130301,"score_gpt":0.21738649746514133,"score_spread":0.20972810315001103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486797327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46495304,0.0003737635,0.5303659,0.00066127756,0.000035338147,0.0016274714,0.000010813885,0.0004156669,0.0015567816],"genre_scores_gemma":[0.7753108,0.00015409639,0.21794997,0.000074258816,0.00024415285,0.0031288438,0.00011520029,0.00020086799,0.002821799],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966261,0.00006224151,0.0008331217,0.0011476837,0.00057764375,0.00075321714],"domain_scores_gemma":[0.99716634,0.0000329606,0.00047369936,0.0017831959,0.00025646467,0.00028736913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026317933,0.00061810407,0.0004605787,0.00018949836,0.00040374591,0.00011334147,0.0008204915,0.00052243244,0.00052749534],"category_scores_gemma":[0.000059433634,0.00050420885,0.00030029114,0.00040398663,0.00018922203,0.00037536753,0.00032723424,0.00044561282,0.00030082464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006603522,0.000100132,0.000050371767,0.00010888047,0.000033046992,0.00003753543,0.00011542166,0.00003208395,0.98085403,0.013277828,0.00009226213,0.005232357],"study_design_scores_gemma":[0.00079445355,0.000053932326,0.0000053100784,0.00016545755,0.000021896467,0.000009562808,0.000015291023,0.00025041561,0.8792604,0.08158074,0.03713755,0.0007049865],"about_ca_topic_score_codex":0.00002539954,"about_ca_topic_score_gemma":0.0000031224854,"teacher_disagreement_score":0.3124159,"about_ca_system_score_codex":0.0007625298,"about_ca_system_score_gemma":0.00011510995,"threshold_uncertainty_score":0.99974096},"labels":[],"label_agreement":null},{"id":"W2487246039","doi":"10.1016/j.sbi.2016.07.008","title":"Proteomics approaches to decipher new signaling pathways","year":2016,"lang":"en","type":"review","venue":"Current Opinion in Structural Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"DECIPHER; Phosphopeptide; Proteomics; Phosphoproteomics; Computational biology; Phosphorylation; Signal transduction; Protein phosphorylation; Systems biology; Mass spectrometry; Chemistry; Computer science; Biology; Cell biology; Bioinformatics; Biochemistry; Protein kinase A","score_opus":0.27465290714567087,"score_gpt":0.4067277806732981,"score_spread":0.13207487352762726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487246039","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000046236644,0.98187023,0.015121862,0.000053988937,0.0009194985,0.0012372624,0.00040243613,0.00014597861,0.0002025245],"genre_scores_gemma":[0.00002280123,0.96586233,0.030499212,0.000004973136,0.0015255656,0.0012088156,0.00075493637,0.00006427849,0.000057070887],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99768215,0.00004955787,0.0008459683,0.000853142,0.00008122025,0.00048794734],"domain_scores_gemma":[0.99864304,0.00012704608,0.00043795505,0.00058207556,0.000024579278,0.00018532375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009014568,0.0005496023,0.0011064814,0.00014898533,0.000075759264,0.000026560789,0.0007126043,0.0005765363,0.00027646217],"category_scores_gemma":[0.000062985215,0.00038294532,0.0002829387,0.00023518743,0.00007908152,0.000049378457,0.00032777514,0.00063714036,0.00006425405],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059259246,0.000006705252,0.000013371459,0.0029209086,0.000014537483,8.4241954e-8,0.000020415077,0.000001516218,0.00022236878,0.016518481,0.0001518951,0.9801238],"study_design_scores_gemma":[0.00014723915,0.000016753982,3.4647525e-7,0.007879666,0.000016130483,0.00001281696,0.0000036074582,0.0000053344543,0.00038272038,0.02364581,0.9673633,0.0005262929],"about_ca_topic_score_codex":0.0000056798417,"about_ca_topic_score_gemma":5.3409514e-7,"teacher_disagreement_score":0.9795975,"about_ca_system_score_codex":0.00027192806,"about_ca_system_score_gemma":0.00023297139,"threshold_uncertainty_score":0.99986225},"labels":[],"label_agreement":null},{"id":"W2488756161","doi":"10.1016/j.celrep.2016.06.086","title":"TAILS N-Terminomics and Proteomics Show Protein Degradation Dominates over Proteolytic Processing by Cathepsins in Pancreatic Tumors","year":2016,"lang":"en","type":"article","venue":"Cell Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Canadian Institutes of Health Research; Canada Foundation for Innovation; Weill Cornell Medical College; Canada Research Chairs; National Institutes of Health; Centre for Blood Research, University of British Columbia; University of British Columbia; Deutsche Forschungsgemeinschaft; Canadian Cancer Society; Michael Smith Health Research BC; Memorial Sloan-Kettering Cancer Center; American Cancer Society","keywords":"Cathepsin; Cathepsin D; Proteolysis; Carcinogenesis; Cathepsin L; Cathepsin A; Biology; Cathepsin E; Cathepsin B; Ubiquitin; Proteomics; Ubiquitin ligase; Protein degradation; Biochemistry; Cathepsin O; Chemistry; Cell biology; Molecular biology; Enzyme; Gene","score_opus":0.007155887820583793,"score_gpt":0.23354792268931848,"score_spread":0.2263920348687347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488756161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862881,0.00016806046,0.010774066,0.00012348277,0.00000657835,0.0014716566,0.000014720655,0.00012719653,0.0010261824],"genre_scores_gemma":[0.96904486,0.000045553767,0.025050601,0.000013662795,0.00002999276,0.0018929932,0.000024988542,0.000055435834,0.003841916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983459,0.000012374028,0.0005859652,0.0005761535,0.00014672716,0.00033289116],"domain_scores_gemma":[0.9988186,0.000031202875,0.00054009655,0.00045491062,0.000053543878,0.00010167139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020556916,0.00025588274,0.0002767293,0.000061283856,0.00010883697,0.000066958535,0.00011677983,0.00015634875,0.000051770236],"category_scores_gemma":[0.00008957716,0.0002022442,0.00004107637,0.000105043444,0.00012290991,0.0002785257,0.000077181765,0.00017184413,0.0000023035188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018790446,0.00008735505,0.012210515,0.0002526992,0.000002504674,0.000049919687,0.00006752836,0.0000011516081,0.9798243,0.00004619498,0.00003266728,0.007406379],"study_design_scores_gemma":[0.0003307482,0.000019842784,0.00021192667,0.00048693083,0.000013117017,0.0001125694,0.000033118595,0.00023010741,0.9916694,0.0059381784,0.000639514,0.00031452882],"about_ca_topic_score_codex":0.000044186603,"about_ca_topic_score_gemma":0.0000066257394,"teacher_disagreement_score":0.0172432,"about_ca_system_score_codex":0.00021295753,"about_ca_system_score_gemma":0.00012243724,"threshold_uncertainty_score":0.82472795},"labels":[],"label_agreement":null},{"id":"W2499626313","doi":"10.1021/acs.jproteome.6b00392","title":"Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Data science; Comparability; Checklist; Computer science; Proteome; Set (abstract data type); Human proteome project; Data quality; Standardization; Identification (biology); Interpretation (philosophy); Information retrieval; Bioinformatics; Chemistry; Proteomics; Psychology; Biology; Service (business); Business; Ecology","score_opus":0.23320379926542634,"score_gpt":0.5058561635822396,"score_spread":0.2726523643168133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499626313","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23494054,0.0007581682,0.7361093,0.013285469,0.00009517172,0.0031391787,0.00028255716,0.0002283496,0.011161263],"genre_scores_gemma":[0.4261097,0.00046190343,0.5652008,0.000026539421,0.0014806695,0.00040214462,0.000019924464,0.00009245877,0.00620583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968789,0.00010669221,0.0010031428,0.0004165767,0.0010880389,0.0005066515],"domain_scores_gemma":[0.99634767,0.00015242051,0.00057928613,0.0012042415,0.0015696558,0.00014675241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003549938,0.00018374457,0.00032220382,0.00056030764,0.00023264489,0.00010685078,0.0018858663,0.00016017638,0.00050685246],"category_scores_gemma":[0.0015182458,0.000118301854,0.00010763762,0.00059183704,0.0002080223,0.000690112,0.0004963668,0.0008792768,0.000037633094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095517724,0.00007687574,0.0001729844,0.00011128877,0.000041192867,0.000019186342,0.000029322913,0.0000011459421,0.98790675,0.0005759257,0.0043850914,0.0065847086],"study_design_scores_gemma":[0.00087636284,0.0003683111,0.000052641335,0.0010034194,0.000018215165,0.00014388963,0.00014897883,0.00026311495,0.9250837,0.046475872,0.025287662,0.0002778517],"about_ca_topic_score_codex":0.000022640703,"about_ca_topic_score_gemma":0.0000026992125,"teacher_disagreement_score":0.19116916,"about_ca_system_score_codex":0.00033577718,"about_ca_system_score_gemma":0.00036400155,"threshold_uncertainty_score":0.5549679},"labels":[],"label_agreement":null},{"id":"W2506055767","doi":"10.1021/acs.jproteome.6b00511","title":"Metrics for the Human Proteome Project 2016: Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Manitoba","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; Seventh Framework Programme; Knut och Alice Wallenbergs Stiftelse","keywords":"Human proteome project; Proteome; Computational biology; Posttranslational modification; Human proteins; Proteomics; Data science; Computer science; Biology; Bioinformatics; Chemistry; Biochemistry; Enzyme","score_opus":0.22437310984608638,"score_gpt":0.47118196829708325,"score_spread":0.24680885845099687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506055767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88330555,0.0009895088,0.06132223,0.03897528,0.00006533882,0.014244216,0.00028514702,0.0001347796,0.00067792047],"genre_scores_gemma":[0.970109,0.00023749507,0.020261068,0.000032029446,0.0007940329,0.007258179,0.000012223136,0.00008192735,0.0012140382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968063,0.00014908164,0.00087452057,0.0004090974,0.0011488785,0.00061207276],"domain_scores_gemma":[0.99605006,0.0009259862,0.00076809054,0.00062803115,0.0015013446,0.000126487],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0043428247,0.0002512876,0.00030449696,0.00055075693,0.0026509399,0.00036171428,0.0011072481,0.0001705781,0.00004763579],"category_scores_gemma":[0.00065120496,0.00012877512,0.0001930455,0.0006990641,0.0005551525,0.00049338804,0.00024154632,0.0011697883,0.0000045837664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097795906,0.00014700009,0.00042713745,0.00022718325,0.00008262787,0.0000024356527,0.0003613319,0.0000014997668,0.98374027,0.0071303304,0.00018239884,0.0075999903],"study_design_scores_gemma":[0.0018483949,0.000612933,0.0033384592,0.0015948557,0.000075113014,0.00011651711,0.0005856653,0.00019091045,0.9343317,0.03755087,0.019268792,0.00048578804],"about_ca_topic_score_codex":0.000021509122,"about_ca_topic_score_gemma":0.0000036254185,"teacher_disagreement_score":0.08680343,"about_ca_system_score_codex":0.00023893297,"about_ca_system_score_gemma":0.000301105,"threshold_uncertainty_score":0.99864745},"labels":[],"label_agreement":null},{"id":"W2511034642","doi":"10.1002/pmic.201600137","title":"ProteinProcessor: A probabilistic analysis using mass accuracy and the MS spectrum","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Database search engine; Mass spectrometry; Fragmentation (computing); Probabilistic logic; Computer science; Peptide; Identification (biology); Peptide mass fingerprinting; Mass spectrum; Matching (statistics); Data mining; Chemistry; Search engine; Proteomics; Chromatography; Artificial intelligence; Biology; Mathematics; Information retrieval; Statistics; Biochemistry","score_opus":0.014459653856738893,"score_gpt":0.2718344844491218,"score_spread":0.25737483059238286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511034642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27680764,0.00010392561,0.7183398,0.0024065739,0.00000660154,0.0012718503,0.000046535155,0.0001783956,0.00083868037],"genre_scores_gemma":[0.8276462,0.00013157103,0.17031711,0.000046836194,0.000101260055,0.0013570492,0.0000044180924,0.000032451033,0.0003631107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883443,0.000020491883,0.00031079628,0.0004037074,0.0001431866,0.00028736252],"domain_scores_gemma":[0.99884164,0.0001654882,0.00026542429,0.0005931191,0.000063025436,0.0000712874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526529,0.00019457686,0.00027814336,0.000055562316,0.0002363927,0.00007337105,0.00031945726,0.000101297,0.00012286792],"category_scores_gemma":[0.00029477742,0.00010800718,0.00011804627,0.00034625555,0.0003243409,0.00013735644,0.00012346232,0.00017010816,0.0000058297287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033536626,0.000068485715,0.0024775611,0.00020182214,0.00035100916,0.0000023892896,0.00017405339,0.00018460672,0.9269448,0.06475444,0.000009900656,0.0044955476],"study_design_scores_gemma":[0.0013036852,0.000012506092,0.00003058679,0.000076705175,0.00036997884,0.000015597549,0.000026492391,0.014695663,0.6454249,0.33666372,0.0010078946,0.00037227484],"about_ca_topic_score_codex":0.00003636448,"about_ca_topic_score_gemma":0.000011293623,"teacher_disagreement_score":0.5508386,"about_ca_system_score_codex":0.00010370111,"about_ca_system_score_gemma":0.000052632087,"threshold_uncertainty_score":0.4404405},"labels":[],"label_agreement":null},{"id":"W2511139994","doi":"10.1007/978-1-4939-3801-8_23","title":"Sample Preparation for Mass Spectrometry Analysis of Protein–Protein Interactions in Cancer Cell Lines and Tissues","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôtel-Dieu de Québec; York University; Université Laval; PROTEO; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"Protein–protein interaction; Computational biology; Chemistry; Cancer cell; Signal transduction; Mass spectrometry; Biology; Cancer; Cell biology; Genetics; Chromatography","score_opus":0.027541501971705247,"score_gpt":0.45025391343138027,"score_spread":0.42271241145967503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511139994","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16337894,0.0003603405,0.8355612,0.00012358856,0.0000054308002,0.00031624848,0.00009491456,0.000015178075,0.00014413621],"genre_scores_gemma":[0.13154887,0.00009724698,0.86680573,0.000008155216,0.000011752894,0.001330729,0.000021424816,0.000009374313,0.00016673341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992113,0.00008023356,0.0002808427,0.0002735206,0.00002342485,0.00013066262],"domain_scores_gemma":[0.9993624,0.00021028884,0.00014513098,0.0002215864,0.000042087882,0.000018487299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024387497,0.000091594105,0.00025005869,0.00016935573,0.000016567088,0.000003540994,0.00009384192,0.00008930706,0.00012347571],"category_scores_gemma":[0.00020395772,0.00007488033,0.000058567104,0.0002957746,0.000054606957,0.000030622265,0.00003582425,0.00006351548,8.9123624e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000317895,0.000033972352,0.001864698,0.000029057197,0.000038376358,1.5273409e-7,0.000022323802,0.00002430878,0.9854135,0.004138891,4.830193e-7,0.008402428],"study_design_scores_gemma":[0.00017374461,0.000030628784,0.00004072622,0.000028356404,0.000038647762,1.542032e-7,0.000014382587,0.00076199515,0.9489206,0.04893097,0.00097353756,0.000086257256],"about_ca_topic_score_codex":0.00044647802,"about_ca_topic_score_gemma":0.00026180613,"teacher_disagreement_score":0.04479208,"about_ca_system_score_codex":0.00007075947,"about_ca_system_score_gemma":0.000014876566,"threshold_uncertainty_score":0.30535313},"labels":[],"label_agreement":null},{"id":"W2513487313","doi":"10.1038/srep31730","title":"Complete De Novo Assembly of Monoclonal Antibody Sequences","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Key Research and Development Program of China; Scheme for Promotion of Academic and Research Collaboration; Hospital for Sick Children","keywords":"Sequence assembly; Computational biology; Monoclonal antibody; De Bruijn sequence; Genome; Proteomics; Immunoglobulin light chain; De Bruijn graph; Computer science; Biology; Antibody; Graph; Gene; Genetics; Mathematics; Combinatorics; Transcriptome; Theoretical computer science","score_opus":0.02414833861714541,"score_gpt":0.31426645624188493,"score_spread":0.2901181176247395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513487313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94574064,0.000033960663,0.046115708,0.00020415332,0.00017743697,0.00008506577,0.000031590997,0.00009746833,0.0075140023],"genre_scores_gemma":[0.96319866,0.000008217805,0.034153827,0.0000075090484,0.000033240252,0.000032274158,0.000028865099,0.000009205087,0.002528184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988659,0.000005262051,0.0003352884,0.00038307346,0.00021036276,0.00020011113],"domain_scores_gemma":[0.99885774,0.000033588265,0.00029586523,0.0006282094,0.0001178359,0.0000667377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003730809,0.000080831254,0.000118414806,0.000039640447,0.00012727384,0.000034732973,0.00016621058,0.000050796916,0.00028048054],"category_scores_gemma":[0.00005949113,0.000058167785,0.00006344268,0.00013746398,0.00028514792,0.000097339784,0.000061243925,0.00004798561,0.000008060647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018862844,0.000022591752,0.0057954225,0.000013080092,0.00000436923,0.000029575287,0.00001621014,0.000004162455,0.99116373,0.0013054925,0.0004043416,0.0012391304],"study_design_scores_gemma":[0.000039765084,0.000004020684,0.000104546874,0.000054051812,0.0000045432216,0.00017661095,0.000009327579,0.00002938298,0.9072077,0.062222034,0.030062508,0.00008546869],"about_ca_topic_score_codex":0.00001985599,"about_ca_topic_score_gemma":0.000003141224,"teacher_disagreement_score":0.083955996,"about_ca_system_score_codex":0.00004408724,"about_ca_system_score_gemma":0.00011326025,"threshold_uncertainty_score":0.30710652},"labels":[],"label_agreement":null},{"id":"W2514633836","doi":"10.1016/j.dib.2016.07.035","title":"Global proteomics dataset of miR-126 overexpression in acute myeloid leukemia","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Terry Fox Foundation; European Commission; Canadian Cancer Society; Ontario Ministry of Health and Long-Term Care; Ontario Genomics Institute; European Molecular Biology Organization","keywords":"Myeloid leukemia; Proteomics; Haematopoiesis; microRNA; Computational biology; Identifier; Leukemia; Biology; Stem cell; Bioinformatics; Cancer research; Computer science; Cell biology; Immunology; Genetics; Gene","score_opus":0.020905455090004358,"score_gpt":0.31248539388855856,"score_spread":0.2915799387985542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514633836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7250395,0.000060212285,0.02907001,0.00036570476,0.000015785883,0.0005939658,0.24331811,0.00008950812,0.0014472198],"genre_scores_gemma":[0.58414906,0.0009802341,0.35119787,0.00026200098,0.00013353312,0.00052769686,0.062446028,0.00006401278,0.00023955392],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988639,0.0000097531665,0.00037458047,0.0004223501,0.00012418375,0.00020523385],"domain_scores_gemma":[0.99806464,0.00003652494,0.00016329328,0.0016749395,0.000015776708,0.00004484454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013225916,0.0001239477,0.00017407913,0.000026517006,0.000020701069,0.000010172345,0.0009608975,0.0001261596,0.00012392458],"category_scores_gemma":[0.00007237595,0.00010023631,0.000015256414,0.00014988157,0.00007646844,0.00033513762,0.0008001445,0.0001122587,0.00000836368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011517127,0.00010183532,0.008638865,0.00006914843,0.000008922564,0.000008792309,0.00000911893,0.0000055490345,0.95883965,0.0020125837,0.021947598,0.008242788],"study_design_scores_gemma":[0.0016696282,0.000017468317,0.0018419975,0.0009067564,0.000010989305,0.000016778304,0.000013334146,0.00041183725,0.8163815,0.011409094,0.16695327,0.00036730396],"about_ca_topic_score_codex":0.0004369781,"about_ca_topic_score_gemma":0.00008193044,"teacher_disagreement_score":0.32212788,"about_ca_system_score_codex":0.00021863365,"about_ca_system_score_gemma":0.00007998925,"threshold_uncertainty_score":0.40875182},"labels":[],"label_agreement":null},{"id":"W2515542759","doi":"10.1016/j.clinbiochem.2015.07.036","title":"Beyond acetaminophen: Characterization of N-acetyl cysteine (NAC) interference on multiple analytes and implications for assessing liver function","year":2015,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; McMaster University","funders":"","keywords":"Tamoxifen; Medicine; Breast cancer; Internal medicine; Oncology; Maspin; Cancer","score_opus":0.06715691135272783,"score_gpt":0.3622612090370588,"score_spread":0.29510429768433094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515542759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9389087,0.00006929111,0.05950664,0.0002682475,0.000029576708,0.00017125062,0.00019133328,0.00007746323,0.0007775166],"genre_scores_gemma":[0.9883391,0.00007769325,0.010264918,0.00009265392,0.00018904771,0.00016091239,0.00053188077,0.00001869553,0.00032508277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890304,0.000009356279,0.00049064355,0.00040037395,0.00006574562,0.00013086693],"domain_scores_gemma":[0.9985234,0.00033396122,0.0003492463,0.00043235926,0.00022987684,0.00013115811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894397,0.00014109086,0.00023263623,0.00001913773,0.00006845977,0.000029370654,0.00015263863,0.00022177341,0.000011020164],"category_scores_gemma":[0.00061752996,0.00013998295,0.00008246124,0.00008412219,0.00015177067,0.00008677809,0.0000760608,0.00017205361,0.0000017873531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087098684,0.000120436285,0.014278619,0.00010492155,0.000019362496,8.248313e-8,0.00000964024,0.0000014363537,0.97420126,0.00031439294,0.00008764283,0.01077513],"study_design_scores_gemma":[0.0007542093,0.00018563199,0.0026046038,0.00010213316,0.000059430826,0.0000030314216,0.00007114508,0.0010992532,0.99187845,0.0020350926,0.0010077773,0.00019925514],"about_ca_topic_score_codex":0.0000019753488,"about_ca_topic_score_gemma":3.985649e-7,"teacher_disagreement_score":0.049430434,"about_ca_system_score_codex":0.00003922877,"about_ca_system_score_gemma":0.00005741985,"threshold_uncertainty_score":0.5708339},"labels":[],"label_agreement":null},{"id":"W2520961058","doi":"10.1021/acs.jproteome.6b00444","title":"Highlights of the Biology and Disease-driven Human Proteome Project, 2015–2016","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences","keywords":"Human proteome project; Proteome; Human disease; Data science; Resource (disambiguation); Dissemination; Computational biology; Human Protein Atlas; Proteomics; Political science; Library science; Biology; Computer science; Bioinformatics; Protein expression; Genetics","score_opus":0.05788738673601932,"score_gpt":0.4180321461094628,"score_spread":0.3601447593734435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520961058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678428,0.0006484024,0.005047722,0.022183523,0.0000392427,0.002354911,0.00012621481,0.000044411052,0.0017127596],"genre_scores_gemma":[0.9870351,0.00045660522,0.008930723,0.000008960372,0.00030894508,0.0003659823,0.0000010137855,0.00003145793,0.0028612167],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99832463,0.00012915919,0.0005179065,0.00022356484,0.0004538237,0.0003509209],"domain_scores_gemma":[0.9980771,0.00014672222,0.00045818428,0.0005072425,0.0006190408,0.00019173684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083967904,0.00013059267,0.0002559915,0.00019347564,0.0002456016,0.000022394659,0.0007056993,0.00011998082,0.000110313704],"category_scores_gemma":[0.00038858337,0.00006287383,0.000119071854,0.0002483219,0.0006094745,0.00014798791,0.00033782428,0.0004905706,0.000004549703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089469955,0.00008682752,0.0023566196,0.000120767356,0.000026776035,0.0000040798905,0.000036090878,2.1490057e-7,0.98528874,0.0100498,0.0011103847,0.0008302007],"study_design_scores_gemma":[0.00089686696,0.00026215627,0.001142704,0.00088166853,0.00001786151,0.000042888976,0.000029108123,0.000008147485,0.8401048,0.12049255,0.035954032,0.00016717686],"about_ca_topic_score_codex":0.000021297394,"about_ca_topic_score_gemma":0.0000021971994,"teacher_disagreement_score":0.14518392,"about_ca_system_score_codex":0.000118489865,"about_ca_system_score_gemma":0.0004234424,"threshold_uncertainty_score":0.25639203},"labels":[],"label_agreement":null},{"id":"W2521489910","doi":"10.1101/074567","title":"Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Core Research for Evolutional Science and Technology; National Cancer Institute; National Human Genome Research Institute; National Institute of General Medical Sciences; Functional Genomics Center Zurich; SystemsX.ch; National Institutes of Health; Ontario Genomics; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Australian Government; Japan Agency for Medical Research and Development; National Science Foundation; Canadian Institutes of Health Research; Genome Canada; Buck Institute for Research on Aging; Government of Canada","keywords":"Reproducibility; Quantitative proteomics; Proteomics; Proteome; Computer science; Mass spectrometry; Label-free quantification; Data mining; Computational biology; Bioinformatics; Chemistry; Chromatography; Biology","score_opus":0.03172893622031354,"score_gpt":0.33073022279089825,"score_spread":0.2990012865705847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521489910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9423007,0.0008250648,0.05397124,0.000106336425,0.00009246241,0.0006448651,0.0018042686,0.0002071773,0.00004788149],"genre_scores_gemma":[0.6413212,0.0005997205,0.357667,0.000008836109,0.000055069195,0.0002707881,6.177611e-7,0.00007050475,0.00000630334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961193,0.00014424672,0.0011088767,0.0018085476,0.00041631347,0.00040270205],"domain_scores_gemma":[0.9936913,0.0002939331,0.0015965181,0.0030467834,0.0012052808,0.0001661798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001913521,0.00055078295,0.00096509507,0.00023603048,0.00011132771,0.000032848387,0.0006024129,0.0004929745,0.000052834388],"category_scores_gemma":[0.0006133702,0.00053229707,0.00014735683,0.0004365973,0.0006066576,0.00019265834,0.0006099394,0.0008124387,0.0000028222996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039538354,0.00023639962,0.012906209,0.0018631482,0.00015905073,0.0000018672652,0.000072442825,0.000011212776,0.9797552,0.0049406067,0.000012663348,0.0000016396202],"study_design_scores_gemma":[0.00046567325,0.00009887796,0.012962812,0.00091480114,0.000083651554,7.521471e-9,0.000048125778,0.0006276858,0.9840196,0.000097004704,0.00010096229,0.000580849],"about_ca_topic_score_codex":0.000020628371,"about_ca_topic_score_gemma":5.959187e-7,"teacher_disagreement_score":0.30369577,"about_ca_system_score_codex":0.00032761242,"about_ca_system_score_gemma":0.00062569696,"threshold_uncertainty_score":0.9997129},"labels":[],"label_agreement":null},{"id":"W2525241054","doi":"10.1002/pmic.201600097","title":"Multiplexed MRM‐based assays for the quantitation of proteins in mouse plasma and heart tissue","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Genome British Columbia; McGill University Health Centre; Island Health; University of Victoria","funders":"Genome British Columbia; National Research Council Canada; Genome Canada","keywords":"Analyte; Computational biology; Biomarker discovery; Quantitative proteomics; Biology; Biomarker; Proteomics; Chromatography; Chemistry; Molecular biology; Biochemistry; Gene","score_opus":0.024445005717481864,"score_gpt":0.2977358073241121,"score_spread":0.2732908016066302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525241054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5308741,0.000024486522,0.46627882,0.00092850265,0.000005974105,0.0016689738,0.000119703844,0.000050217306,0.00004925221],"genre_scores_gemma":[0.6088758,0.000017704575,0.38936684,0.000015156551,0.000019213498,0.0015493472,0.0000062821196,0.000018480869,0.00013115729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931824,0.00000729358,0.0002550778,0.0001911767,0.00007139135,0.00015681153],"domain_scores_gemma":[0.9991882,0.00031289618,0.00013999174,0.0002662959,0.00006367376,0.0000289603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023963576,0.0001005988,0.0001319436,0.000032453812,0.000067174835,0.000010507644,0.00012827477,0.000090715315,0.000009730604],"category_scores_gemma":[0.0002020455,0.00006685457,0.000031451367,0.000057050052,0.00008085126,0.00006295285,0.000031179752,0.000076224846,0.0000012525921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010175273,0.00004118784,0.0009632272,0.000076662196,0.0000037493628,7.537809e-8,0.00003789237,0.000032611217,0.9918438,0.0028560413,0.000012991899,0.0040299837],"study_design_scores_gemma":[0.000834927,0.000036827427,0.00013328962,0.000053941843,0.000004550026,8.3593727e-7,0.000025210966,0.002906238,0.99100256,0.0030687444,0.0018323555,0.00010049104],"about_ca_topic_score_codex":0.00004854953,"about_ca_topic_score_gemma":0.00007594926,"teacher_disagreement_score":0.07800176,"about_ca_system_score_codex":0.00004242062,"about_ca_system_score_gemma":0.000036150326,"threshold_uncertainty_score":0.27262503},"labels":[],"label_agreement":null},{"id":"W2526195589","doi":"10.1002/pmic.201600210","title":"PeptideTracker: A knowledge base for collecting and storing information on protein concentrations in biological tissues","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Island Health; University of Victoria","funders":"Genome British Columbia; Bundesministerium für Bildung und Forschung; Genome Canada","keywords":"Knowledge base; Base (topology); Computer science; Content (measure theory); Information retrieval; Computational biology; Data science; World Wide Web; Biology; Mathematics","score_opus":0.035000923941285136,"score_gpt":0.3049154659485645,"score_spread":0.2699145420072794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526195589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8822407,0.0000341252,0.114169285,0.00039798586,0.000011384795,0.0015876645,0.00008064515,0.00013656229,0.0013416592],"genre_scores_gemma":[0.8575886,0.000048803828,0.13890201,0.00001966598,0.000059734753,0.0031125685,0.0000149474845,0.000011187152,0.00024250559],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993143,0.000008726207,0.0002513524,0.00017791108,0.000042674183,0.00020501521],"domain_scores_gemma":[0.9995179,0.00011935621,0.00010816196,0.00014049555,0.00006297793,0.00005110314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016310278,0.00011121092,0.000117636875,0.00004970986,0.00013925195,0.000032079104,0.00008318285,0.00010889151,0.00001815068],"category_scores_gemma":[0.00032422843,0.00008546481,0.00002512775,0.00008720591,0.000046350982,0.0002044271,0.00003587577,0.000106490384,0.0000065121485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011313093,0.00007502339,0.0032547172,0.000090814385,0.0000051964194,2.795337e-7,0.00034571922,0.000007863862,0.9433347,0.028619489,0.000051199157,0.024101894],"study_design_scores_gemma":[0.0007994189,0.000075182725,0.00007024244,0.00021800048,0.0000022761621,0.0000021357484,0.00009032427,0.00073624804,0.9772295,0.01106682,0.009527581,0.00018226606],"about_ca_topic_score_codex":0.0000066006655,"about_ca_topic_score_gemma":0.00001073929,"teacher_disagreement_score":0.033894833,"about_ca_system_score_codex":0.00016028296,"about_ca_system_score_gemma":0.00004263304,"threshold_uncertainty_score":0.3485154},"labels":[],"label_agreement":null},{"id":"W252834605","doi":"","title":"Development of Automated SISCAPA Assays for High-Throughput Quantitation of Protein Biomarkers","year":2012,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Polyclonal antibodies; Transferrin; Chemistry; Peptide; Ferritin; Mesothelin; Chromatography; Antibody; Molecular biology; Biochemistry; Biology","score_opus":0.023983477979340563,"score_gpt":0.2676890918853292,"score_spread":0.24370561390598863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W252834605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93456113,0.00015150478,0.062114716,0.000093569404,0.000058912134,0.0010479426,0.00009435237,0.0003427452,0.0015351172],"genre_scores_gemma":[0.6689891,0.000015724334,0.33012664,0.000005622604,0.000035307163,0.0005757867,0.00008714055,0.00003101696,0.00013362418],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985601,0.000017882236,0.0005213941,0.00020875993,0.00016544932,0.0005264438],"domain_scores_gemma":[0.99901545,0.000042514308,0.00039272674,0.0002936348,0.00013209204,0.00012360659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029138193,0.00015487634,0.00020394311,0.000045423476,0.000066774,0.000008203272,0.00020275438,0.00007854562,0.000041469986],"category_scores_gemma":[0.00014082521,0.0001517481,0.000056310793,0.00021539265,0.000059778784,0.00013741458,0.00005409558,0.00007095276,0.0000045982565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073213145,0.000269583,0.0014711549,0.00036362727,0.00008586499,1.8506628e-7,0.0011555626,0.000011756223,0.9721581,0.012210271,0.00031650084,0.011884205],"study_design_scores_gemma":[0.00037314452,0.0000097858165,0.0032911974,0.00006279427,0.000023238252,7.99049e-7,0.00006858258,0.00012504996,0.9763083,0.00028421832,0.019284645,0.00016827628],"about_ca_topic_score_codex":0.000007953105,"about_ca_topic_score_gemma":0.0000015942759,"teacher_disagreement_score":0.26801193,"about_ca_system_score_codex":0.00008978557,"about_ca_system_score_gemma":0.00007250992,"threshold_uncertainty_score":0.6188108},"labels":[],"label_agreement":null},{"id":"W2528481497","doi":"10.1002/pmic.201600314","title":"Subcellular proteomics analysis of different stages of colorectal cancer cell lines","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subcellular localization; Biology; Proteomics; Cell biology; Colorectal cancer; Protein subcellular localization prediction; Cytoplasm; Cell; Signal transduction; Cancer cell; Cancer; Genetics; Gene","score_opus":0.011084442553945542,"score_gpt":0.26558492784013704,"score_spread":0.2545004852861915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528481497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91663647,0.00016607378,0.08139931,0.000095599295,0.000014686711,0.0005701794,0.00065395125,0.000071465176,0.00039226553],"genre_scores_gemma":[0.92054874,0.001014943,0.076998845,0.0000060060343,0.000038923474,0.0008493061,0.000033934113,0.000036871992,0.0004724055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986063,0.000014397384,0.0005830728,0.0003502247,0.00019523702,0.0002507501],"domain_scores_gemma":[0.9985351,0.00007699744,0.000609974,0.0004934956,0.00020786386,0.00007654641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009436846,0.00022996355,0.000541932,0.00009900775,0.000049415878,0.000008219442,0.0003753751,0.00017385889,0.00042169658],"category_scores_gemma":[0.00003459826,0.00016571658,0.00026667945,0.00029118606,0.00015719402,0.000081130434,0.00013577535,0.00011395381,0.000001280441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008681241,0.00017620364,0.03506189,0.00015633971,0.00022256047,3.434925e-7,0.00006525009,0.000090800415,0.96246064,0.00091527164,0.000009109181,0.0007547904],"study_design_scores_gemma":[0.0003613504,0.000038575545,0.0005127858,0.00006262657,0.0003130289,2.94597e-7,0.000024905086,0.0008216493,0.99596953,0.0015954638,0.00008490866,0.00021488665],"about_ca_topic_score_codex":0.00016702857,"about_ca_topic_score_gemma":0.00007999787,"teacher_disagreement_score":0.034549102,"about_ca_system_score_codex":0.00014153059,"about_ca_system_score_gemma":0.00006275372,"threshold_uncertainty_score":0.6757726},"labels":[],"label_agreement":null},{"id":"W2529501230","doi":"10.1038/srep34949","title":"Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia; McGill University; University Health Network; Canada's Michael Smith Genome Sciences Centre","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Proteome; Proteomics; Computational biology; Biomarker discovery; Biology; Transcriptome; Gene expression profiling; Serous ovarian cancer; Bioinformatics; Ovarian cancer; Cancer; Gene; Gene expression; Genetics","score_opus":0.09357900578849497,"score_gpt":0.37933051799932754,"score_spread":0.28575151221083256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529501230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48176667,0.000043308944,0.51475686,0.00047672022,0.00021184489,0.0010494373,0.000090048394,0.00009232675,0.0015127988],"genre_scores_gemma":[0.62416583,0.0000021823982,0.37315407,0.0000014776854,0.000039319184,0.0008246139,0.000053959655,0.000015784644,0.0017427696],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984284,0.000014158543,0.00050096284,0.00045793565,0.00034197688,0.0002565548],"domain_scores_gemma":[0.9982859,0.00018847683,0.0002824214,0.00042790704,0.000762377,0.00005293596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014167465,0.00008524056,0.00012504829,0.00012313038,0.00038587456,0.000046692116,0.00012603507,0.000074692485,0.000052703857],"category_scores_gemma":[0.00039309933,0.00006622813,0.00008975177,0.00030285094,0.00031521343,0.00019670084,0.00003376975,0.000093404524,0.0000025148622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033518336,0.00007915522,0.00022975366,0.0000682407,0.000006537685,0.0000012384819,0.00008101313,0.000026117394,0.9838646,0.014760286,0.00030945128,0.00054006034],"study_design_scores_gemma":[0.00010364481,0.000029066687,0.00000378115,0.00007540436,0.000003776304,0.000014642901,0.00007564284,0.00019434805,0.7935798,0.20253962,0.003306496,0.00007373521],"about_ca_topic_score_codex":0.000005595089,"about_ca_topic_score_gemma":0.000007973182,"teacher_disagreement_score":0.19028479,"about_ca_system_score_codex":0.00006392957,"about_ca_system_score_gemma":0.00018028164,"threshold_uncertainty_score":0.2967874},"labels":[],"label_agreement":null},{"id":"W2529750106","doi":"10.1038/nbt.3685","title":"A multicenter study benchmarks software tools for label-free proteome quantification","year":2016,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":385,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada); Spinal Cord Injury BC","funders":"National Institute of General Medical Sciences; Biotechnology and Biological Sciences Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Computer science; Software; Robustness (evolution); Quantitative proteomics; Proteome; Data mining; Label-free quantification; Proteomics; Bioinformatics; Biology","score_opus":0.017405699683627728,"score_gpt":0.30514907427416255,"score_spread":0.28774337459053484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529750106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49766237,0.00052741717,0.4714977,0.021024726,0.00017786074,0.0053467327,0.0009493917,0.0024163884,0.00039741042],"genre_scores_gemma":[0.79032534,0.000061265666,0.20567937,0.00009291758,0.000093585775,0.0031731254,0.00007919879,0.00004110217,0.0004540887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867135,0.0000084473095,0.0002876478,0.00060034357,0.00011691823,0.00031529536],"domain_scores_gemma":[0.9981096,0.00018931733,0.00018823879,0.001329415,0.00014307558,0.000040345552],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001283971,0.00020146015,0.00020824172,0.00009866258,0.00014289572,0.000027835717,0.0007778284,0.0013109534,0.00012850146],"category_scores_gemma":[0.0012203067,0.00014675409,0.000058828235,0.00016502608,0.00011499595,0.0001395193,0.00021153818,0.0005447462,0.000012239511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009761645,0.00038660932,0.00048156755,0.00004218656,0.000034675322,0.0000015114713,0.000017487244,1.6558509e-7,0.9028048,0.012116308,0.0017695205,0.08224758],"study_design_scores_gemma":[0.0016853283,0.00012448202,0.00009651855,0.000048085036,0.000024656483,0.000003500424,0.00006493505,0.00002002996,0.90180206,0.014463491,0.08141253,0.00025440374],"about_ca_topic_score_codex":0.0000034465563,"about_ca_topic_score_gemma":0.00001632156,"teacher_disagreement_score":0.29266298,"about_ca_system_score_codex":0.000104899475,"about_ca_system_score_gemma":0.000026146126,"threshold_uncertainty_score":0.9999856},"labels":[],"label_agreement":null},{"id":"W2530061417","doi":"10.1021/acs.jproteome.6b00745","title":"Improvement of Quantitative Measurements in Multiplex Proteomics Using High-Field Asymmetric Waveform Spectrometry","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiplex; Mass spectrometry; Proteomics; Quantitative proteomics; Chromatography; Field (mathematics); Waveform; Chemistry; Analytical Chemistry (journal); Computational biology; Computer science; Bioinformatics; Biology; Biochemistry; Mathematics","score_opus":0.15033034594035843,"score_gpt":0.42514547487280974,"score_spread":0.2748151289324513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530061417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91431516,0.00011066478,0.083681606,0.00046226554,0.000022887712,0.00083294394,0.00001675606,0.000010332197,0.0005473914],"genre_scores_gemma":[0.7429977,0.00013984456,0.25657782,0.0000045931292,0.000077030636,0.000088932975,4.816311e-7,0.0000248955,0.00008873852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99702084,0.000059899674,0.0009967429,0.000247079,0.0011709753,0.00050447864],"domain_scores_gemma":[0.99736273,0.00033828258,0.00071836193,0.00037064037,0.0010742038,0.00013577646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027691764,0.0001620464,0.00040499706,0.0010942809,0.00008795605,0.000024758137,0.0005644292,0.00015878362,0.00013375183],"category_scores_gemma":[0.0015117186,0.00011214803,0.00012687528,0.0011528695,0.000120962446,0.00028847065,0.00019148097,0.00075688533,0.0000041889825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033832536,0.00027885108,0.0040688072,0.00015268271,0.00004792815,0.0000063406246,0.00004546737,0.000011138755,0.9867782,0.0006432977,0.000013788766,0.0076151844],"study_design_scores_gemma":[0.0013362255,0.00064327125,0.0003929952,0.000561873,0.00000743022,0.000012768655,0.00013722242,0.0001168657,0.98435575,0.012260152,0.00004510125,0.00013034743],"about_ca_topic_score_codex":0.0001884326,"about_ca_topic_score_gemma":0.0000096250205,"teacher_disagreement_score":0.1728962,"about_ca_system_score_codex":0.0009277768,"about_ca_system_score_gemma":0.00031542813,"threshold_uncertainty_score":0.45732638},"labels":[],"label_agreement":null},{"id":"W2534428619","doi":"10.1017/cjn.2016.369","title":"PS2 - 178 Brevican-Specific Peptides for the Development of Next-Generation Targeted Theranostics for High Grade Gliomas","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Glioma; Peptide library; Peptide; Flow cytometry; Cancer research; Neural stem cell; Biology; Chemistry; Computational biology; Molecular biology; Stem cell; Biochemistry; Cell biology; Peptide sequence; Gene","score_opus":0.07847768330523609,"score_gpt":0.28748697278582347,"score_spread":0.2090092894805874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534428619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698741,0.0012085437,0.022639384,0.005524182,0.0002685338,0.00030857438,0.000062041254,0.00001590025,0.00009874322],"genre_scores_gemma":[0.92432415,0.00052570016,0.07427189,0.0004527375,0.00034385454,0.000042368163,9.177351e-7,0.000012916781,0.00002543598],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99735487,0.00011400054,0.000953462,0.00039035085,0.00039631376,0.0007910043],"domain_scores_gemma":[0.99621207,0.0015181027,0.0009577291,0.0001728205,0.0005713092,0.000567981],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021980812,0.0002451752,0.00034663815,0.00027074374,0.002695269,0.00027826332,0.001781716,0.00014520773,0.0000876347],"category_scores_gemma":[0.0011768859,0.00012536369,0.00019770522,0.00048223106,0.0031928231,0.000479506,0.000038743965,0.00033096952,4.2323762e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006738169,0.00024925178,0.14020753,0.000106891195,0.00017058829,0.00026202408,0.0017980814,0.005237705,0.50452805,0.06853559,0.005458536,0.27277192],"study_design_scores_gemma":[0.0025460455,0.04550544,0.018069044,0.00031244807,0.00020416908,0.005361293,0.00089729053,0.0045087435,0.46266094,0.3172082,0.14095336,0.0017730107],"about_ca_topic_score_codex":0.00010287046,"about_ca_topic_score_gemma":0.009520192,"teacher_disagreement_score":0.2709989,"about_ca_system_score_codex":0.00017229651,"about_ca_system_score_gemma":0.0016520626,"threshold_uncertainty_score":0.99951994},"labels":[],"label_agreement":null},{"id":"W2537447655","doi":"10.1007/978-1-4939-6439-0_14","title":"Cleavable Linkers in Chemical Proteomics Applications","year":2016,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; Javna Agencija za Raziskovalno Dejavnost RS; Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Computational biology; Identification (biology); Mass spectrometry; Chemical biology; Profiling (computer programming); Chemistry; Nanotechnology; Computer science; Biology; Biochemistry; Chromatography; Materials science","score_opus":0.039435571400969656,"score_gpt":0.46575758205056605,"score_spread":0.4263220106495964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537447655","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[5.382239e-7,0.45708346,0.5401231,0.000023392164,0.000009839602,0.00077468297,0.0000420333,0.000055920522,0.0018870188],"genre_scores_gemma":[5.99665e-8,0.48678106,0.50676715,0.000019625732,0.00003967898,0.0061752023,0.00008463022,0.000047074165,0.000085491556],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749887,0.00026294906,0.0008783143,0.00084584695,0.00005066986,0.00046337122],"domain_scores_gemma":[0.9982547,0.000323232,0.00035673374,0.0009646063,0.00002972965,0.000070961534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006030998,0.0004116205,0.0012569068,0.00021527703,0.00002812048,0.000010508258,0.00077176996,0.0012392015,0.00008221139],"category_scores_gemma":[0.00017572557,0.00034926817,0.000288989,0.00042810498,0.00018295279,0.00001739946,0.00029361743,0.0009462044,0.000028176437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026105636,0.000047934063,0.0000031142122,0.0013304843,0.000017895529,0.000003579885,0.0000027639028,4.1734944e-7,0.08635822,0.006132996,0.000008328666,0.90609163],"study_design_scores_gemma":[0.00013318802,0.0000058349165,1.0160564e-8,0.0014601401,0.000031672884,0.000015243133,0.0000017635015,0.0000066311013,0.05419634,0.028929304,0.91484785,0.00037204972],"about_ca_topic_score_codex":0.000010197062,"about_ca_topic_score_gemma":0.0000011144083,"teacher_disagreement_score":0.9148395,"about_ca_system_score_codex":0.00033404698,"about_ca_system_score_gemma":0.0001609615,"threshold_uncertainty_score":0.99989593},"labels":[],"label_agreement":null},{"id":"W2538124207","doi":"10.1016/j.jalz.2016.06.1734","title":"P3‐076: Time‐Resolved Hydrogen Deuterium Exchange Mass Spectrometry Provides a Detailed Picture of the Conformational Bias Shift that Drives TAU Pathogenesis","year":2016,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada); York University","funders":"","keywords":"Hydrogen–deuterium exchange; Hyperphosphorylation; Chemistry; Mass spectrometry; Peptide; Biophysics; Crystallography; Biochemistry; Chromatography; Biology; Phosphorylation","score_opus":0.02106972124211725,"score_gpt":0.24305707942344618,"score_spread":0.22198735818132892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538124207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85829,0.022308143,0.10567738,0.00317776,0.00015017185,0.002223151,0.0013363028,0.0006318921,0.006205212],"genre_scores_gemma":[0.97177255,0.00011651681,0.027339566,0.00012898064,0.000091853944,0.00035188923,0.000055348766,0.000039398357,0.000103900624],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986425,0.000031188127,0.00038763144,0.00031256082,0.00030495075,0.00032115122],"domain_scores_gemma":[0.99868536,0.00008441396,0.00040695549,0.0006757365,0.000070783026,0.00007673358],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013605901,0.00025370708,0.0002380171,0.000058680027,0.00016789902,0.000031515163,0.00057185953,0.0001449771,0.0017406455],"category_scores_gemma":[0.000018335018,0.00016101931,0.00020397597,0.00015645257,0.00015557212,0.00022027921,0.00022080976,0.000105732535,0.000049152586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029397248,0.000054804823,0.00869242,0.000023269748,0.0016103154,9.560839e-7,0.00012981983,0.0000025085371,0.982093,0.00065604935,0.0003948926,0.0063125677],"study_design_scores_gemma":[0.00035863652,0.000018455217,0.0017970228,0.000046620935,0.0012494618,0.0000043170726,0.000026852884,0.000054453394,0.98297167,0.0032808878,0.00995135,0.00024028908],"about_ca_topic_score_codex":0.0000069192283,"about_ca_topic_score_gemma":0.0000068445966,"teacher_disagreement_score":0.11348256,"about_ca_system_score_codex":0.000016188202,"about_ca_system_score_gemma":0.000056229634,"threshold_uncertainty_score":0.9991719},"labels":[],"label_agreement":null},{"id":"W2548501062","doi":"10.1016/bs.mie.2016.09.034","title":"Integrated and Quantitative Proteomics of Human Tumors","year":2016,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Cancer Research; Institut National Du Cancer; Chordoma Foundation","keywords":"Proteomics; Computational biology; Quantitative proteomics; Proteome; Human proteome project; Identification (biology); Biomarker discovery; Proteogenomics; Biomarker; Biology; Bioinformatics; Biochemistry; Genomics; Genome","score_opus":0.06428123239177684,"score_gpt":0.4503767951514624,"score_spread":0.38609556275968554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548501062","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52716124,0.00022021982,0.4684908,0.00035225463,0.00009889602,0.0005506833,0.000051302974,0.00012666041,0.0029479377],"genre_scores_gemma":[0.09802139,0.00015069827,0.90019417,0.00016391253,0.000038496597,0.00087980414,0.000014291652,0.000084400526,0.00045285508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9935077,0.0028090212,0.0015197062,0.0012167889,0.00013518553,0.00081163226],"domain_scores_gemma":[0.99253213,0.005446704,0.0007212238,0.0010135768,0.00015381769,0.00013251837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004511417,0.000564174,0.0014204984,0.00071400654,0.00011411764,0.000010124834,0.000735134,0.0009816652,0.00035246214],"category_scores_gemma":[0.0033836435,0.0004648834,0.00014019445,0.0006655598,0.0015926638,0.00011424473,0.00036139577,0.0011889919,0.0000057891125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023690284,0.0002736477,0.0049761496,0.00006667868,0.000033522447,0.000033466506,0.0003266503,0.0000144438545,0.8407492,0.115934,0.000026370175,0.037328944],"study_design_scores_gemma":[0.0013808082,0.0005443445,0.0054115434,0.00023286253,0.000020610594,0.000109764194,0.00027440503,0.000073751,0.68851876,0.3020062,0.0009487416,0.00047820047],"about_ca_topic_score_codex":0.0002624185,"about_ca_topic_score_gemma":0.00026220316,"teacher_disagreement_score":0.43170333,"about_ca_system_score_codex":0.00029110318,"about_ca_system_score_gemma":0.0001075753,"threshold_uncertainty_score":0.9997803},"labels":[],"label_agreement":null},{"id":"W2550622545","doi":"10.1002/pmic.201600337","title":"Comparison of sample preparation techniques for large‐scale proteomics","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Proteome; Fractionation; Chromatography; Proteomics; Elution; Sample preparation; HeLa; Chemistry; Biochemistry; Cell","score_opus":0.025180803261236166,"score_gpt":0.3550533523585011,"score_spread":0.32987254909726493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550622545","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13813156,0.000021841193,0.8580787,0.00025677963,0.0000135517685,0.0018231563,0.00063023204,0.0003047832,0.0007393471],"genre_scores_gemma":[0.33072782,0.00003083915,0.6652725,0.000016053658,0.00009165478,0.00350679,0.000056837638,0.00003794445,0.00025959333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986242,0.0000096011445,0.0005575469,0.00036803246,0.00013381983,0.00030679788],"domain_scores_gemma":[0.99858314,0.00014688104,0.0004395768,0.00055636757,0.00020892786,0.00006509083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021206008,0.00019316544,0.00032652493,0.000050267532,0.00013526443,0.000017831157,0.0003138712,0.00021475051,0.00007409349],"category_scores_gemma":[0.00017785563,0.00015663207,0.00012610415,0.000090425674,0.00006899875,0.00015165574,0.000096147334,0.000112053734,0.000004123299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017622524,0.00019542436,0.0045845727,0.00014099102,0.000012808974,3.0496263e-8,0.00016788335,0.000003940972,0.98027575,0.009584225,0.00029555045,0.004562625],"study_design_scores_gemma":[0.00039142073,0.00009709066,0.000008939151,0.0000886058,0.000014818791,0.0000011214024,0.000047462054,0.0010999055,0.94034684,0.040952682,0.016736833,0.00021428529],"about_ca_topic_score_codex":0.000009510344,"about_ca_topic_score_gemma":0.000013477709,"teacher_disagreement_score":0.19280627,"about_ca_system_score_codex":0.00011301781,"about_ca_system_score_gemma":0.00006241516,"threshold_uncertainty_score":0.638727},"labels":[],"label_agreement":null},{"id":"W2550959114","doi":"10.1007/978-1-4939-6584-7_14","title":"Large-Scale Interaction Profiling of Protein Domains Through Proteomic Peptide-Phage Display Using Custom Peptidomes","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Computational biology; Phage display; Peptide; Biology; Computer science; Biochemistry; Operating system","score_opus":0.02297253142674514,"score_gpt":0.4033009421261765,"score_spread":0.38032841069943135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550959114","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39353088,0.000048764512,0.6052859,0.00005684553,0.000018623015,0.00043150943,0.000031458,0.000047846126,0.000548185],"genre_scores_gemma":[0.13079552,0.000021363245,0.8684028,0.00002381371,0.000035658184,0.00055538194,0.00001422566,0.000037095328,0.000114156144],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983087,0.0002488403,0.0005151508,0.0004898148,0.000070743095,0.00036671766],"domain_scores_gemma":[0.99893296,0.00011038229,0.00033503157,0.0005208192,0.00006299875,0.00003778147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005696431,0.00021661542,0.0003601584,0.000086890504,0.000065129076,0.0000070368496,0.00027448125,0.00027159252,0.00008308596],"category_scores_gemma":[0.00020690146,0.00016703122,0.000125963,0.00018490947,0.0001690858,0.000094165895,0.00018367177,0.00026465202,0.0000029166063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046211975,0.00008007328,0.0009937701,0.000065901724,0.000017125842,0.0000033228703,0.000099444005,0.00002398462,0.9844573,0.011335247,7.447175e-7,0.002876833],"study_design_scores_gemma":[0.00047274178,0.000034348424,0.0000069438593,0.00016664146,0.000012941437,0.000012917207,0.00010771028,0.0005311928,0.95274544,0.044673976,0.0010350877,0.00020008661],"about_ca_topic_score_codex":0.000028280161,"about_ca_topic_score_gemma":0.0000046050127,"teacher_disagreement_score":0.2631169,"about_ca_system_score_codex":0.00014700378,"about_ca_system_score_gemma":0.000043395386,"threshold_uncertainty_score":0.68113357},"labels":[],"label_agreement":null},{"id":"W2554222525","doi":"10.1039/9781782626732-00015","title":"<i>De novo</i> Peptide Sequencing","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Section (typography); Computational biology; Software; Computer science; Peptide; DNA sequencing; Process (computing); Biology; Genetics; Biochemistry; Programming language; Gene","score_opus":0.019624009679640002,"score_gpt":0.256001965400122,"score_spread":0.23637795572048198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554222525","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018973018,0.00006306581,0.049941152,0.00016190963,0.000008879562,0.000088953195,0.00009794978,0.00043669943,0.9491824],"genre_scores_gemma":[0.0004049738,0.00028012934,0.047106553,0.0002779638,0.00029934853,0.00006835146,0.000025167366,0.00008794452,0.9514496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915123,6.4311325e-7,0.00021850919,0.00031995637,0.000101828475,0.00020781886],"domain_scores_gemma":[0.99914336,0.000037440976,0.00013827087,0.00055163074,0.000047207057,0.00008209346],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003921876,0.00023542727,0.00018999884,0.000025322268,0.000066598455,0.000019785428,0.00024952527,0.00033866978,0.008032403],"category_scores_gemma":[0.0000059856147,0.0001968047,0.00012124385,0.0000059082195,0.000058372043,0.000035837184,0.000090932146,0.00029982947,0.00033009806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002866426,0.0000022001932,0.000002145558,0.000042037027,0.000016664235,0.000008844971,0.000006624868,7.425466e-7,0.120313406,0.8709917,0.002467135,0.006145615],"study_design_scores_gemma":[0.000051448096,0.0000026340063,1.5367675e-8,0.00015476365,0.000012679289,0.000029395203,0.0000018712282,0.0000034177258,0.092889056,0.25200722,0.6546084,0.00023908124],"about_ca_topic_score_codex":0.0000039178612,"about_ca_topic_score_gemma":0.0000026093007,"teacher_disagreement_score":0.6521413,"about_ca_system_score_codex":0.00032955315,"about_ca_system_score_gemma":0.00009660418,"threshold_uncertainty_score":0.9928744},"labels":[],"label_agreement":null},{"id":"W2556595882","doi":"10.1002/pmic.201600360","title":"Protein‐phosphotyrosine proteome profiling by superbinder‐SH2 domain affinity purification mass spectrometry, sSH2‐AP‐MS","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"Canadian Cancer Society Research Institute; Canada Research Chairs","keywords":"SH2 domain; Proteome; Chemistry; Mass spectrometry; Amino acid; Affinity chromatography; Proteomics; HeLa; Biochemistry; Chromatography; Molecular biology; Proto-oncogene tyrosine-protein kinase Src; Biology; Receptor; Cell; Enzyme","score_opus":0.01088427929926784,"score_gpt":0.24213024498585997,"score_spread":0.23124596568659214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556595882","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48454615,0.00014405647,0.5057657,0.0021366922,0.00003286737,0.003409563,0.00038231994,0.00077494996,0.0028077275],"genre_scores_gemma":[0.360271,0.00012517738,0.62925327,0.000057337184,0.00024103522,0.007287712,0.0001415501,0.00014743512,0.0024754386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99664974,0.000044154494,0.0008207691,0.0011133275,0.00048368142,0.00088833703],"domain_scores_gemma":[0.9975743,0.000063189,0.0005182074,0.0013479415,0.00022004107,0.0002762887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050412735,0.0005685153,0.0004768406,0.00012256876,0.00040659434,0.00013961553,0.0008639046,0.00047248154,0.00057633064],"category_scores_gemma":[0.00019768605,0.0004683207,0.00018622412,0.00047882783,0.00024879165,0.0004393239,0.00018492294,0.00061013567,0.00015174314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012544189,0.00020617085,0.00061152707,0.0001392351,0.000029976973,0.0000024882652,0.000035466936,0.0000016908532,0.98754084,0.00998007,0.00021982622,0.0011072777],"study_design_scores_gemma":[0.0009378808,0.00007874903,0.000023212497,0.00015492052,0.000015704618,0.000013629021,0.000035281348,0.000073330535,0.9330521,0.05987054,0.0050771097,0.00066752214],"about_ca_topic_score_codex":0.00004575297,"about_ca_topic_score_gemma":0.0000034795216,"teacher_disagreement_score":0.12427514,"about_ca_system_score_codex":0.00059849245,"about_ca_system_score_gemma":0.00016654037,"threshold_uncertainty_score":0.99977684},"labels":[],"label_agreement":null},{"id":"W2556739841","doi":"10.1039/c6mb00639f","title":"Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer","year":2016,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Triple-negative breast cancer; Proteomics; Mass spectrometry; Breast cancer; Computational biology; Chemistry; Cancer; Computer science; Biology; Medicine; Chromatography; Internal medicine; Biochemistry","score_opus":0.029824587627287364,"score_gpt":0.3305014516303182,"score_spread":0.30067686400303084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556739841","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022622593,0.6749308,0.31890848,0.00034712502,0.00005869658,0.002861349,0.002247772,0.00040679835,0.0002163358],"genre_scores_gemma":[0.00034907606,0.87417287,0.114206225,0.000013518372,0.00007394707,0.010716137,0.000082923245,0.00014876162,0.0002365191],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745077,0.00003689334,0.00092184334,0.0008015734,0.0003364898,0.00045241954],"domain_scores_gemma":[0.9973927,0.000047033747,0.00097071234,0.001312696,0.00018021776,0.00009659639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000117404175,0.00062498427,0.0015551173,0.00031673218,0.00006920751,0.000027963382,0.0008838912,0.0004981567,0.00009605058],"category_scores_gemma":[0.000053494434,0.0004787347,0.00048216103,0.00071979826,0.00009822679,0.000038558686,0.00018441318,0.00031411,0.000026097554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000374219,0.00011884722,0.000002308603,0.025688957,0.00032750607,0.000018044908,0.00001790234,0.00001018881,0.5292786,0.001912213,0.00011751329,0.44247052],"study_design_scores_gemma":[0.00025062205,0.00003558817,1.5988904e-8,0.022060253,0.00014185953,0.00001141135,0.00004824894,0.000007717034,0.59426045,0.00041285667,0.38218808,0.00058291614],"about_ca_topic_score_codex":0.000026656593,"about_ca_topic_score_gemma":0.000001643839,"teacher_disagreement_score":0.44188762,"about_ca_system_score_codex":0.00068685296,"about_ca_system_score_gemma":0.00027101583,"threshold_uncertainty_score":0.9997664},"labels":[],"label_agreement":null},{"id":"W2558477578","doi":"10.1155/2016/9812829","title":"Miniaturized Digestion and Extraction of Surface Proteins from<i>Candida albicans</i>following Treatment with Histatin 5 for Mass Spectrometry Analysis","year":2016,"lang":"en","type":"article","venue":"International Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Proteolysis; Candida albicans; Chromatography; Reagent; Trypsin; Mass spectrometry; Sample preparation; Digestion (alchemy); Proteome; Extraction (chemistry); Chemistry; Microbiology; Biochemistry; Biology; Enzyme","score_opus":0.009004212785363005,"score_gpt":0.2847608438632488,"score_spread":0.2757566310778858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558477578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52040637,0.000036007525,0.4787413,0.00040957512,0.000021862868,0.00017270366,0.00016634222,0.000008445821,0.00003737136],"genre_scores_gemma":[0.5092637,0.00011380904,0.4903369,0.0000044718404,0.000071492315,0.000041585696,0.000016727125,0.0000109677985,0.00014034957],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989932,0.0000119439355,0.00045271445,0.00017771196,0.00025569147,0.000108728156],"domain_scores_gemma":[0.9984836,0.00018555966,0.0008543114,0.00013334531,0.0002827981,0.000060415237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012482074,0.00013650951,0.0002890476,0.00013688643,0.000038039307,0.000028116854,0.0001727052,0.00006985572,0.000049862443],"category_scores_gemma":[0.000054392927,0.000091414535,0.0001888713,0.00010636606,0.000043994936,0.00019718906,0.000013989992,0.0000819281,2.0104166e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007663744,0.000098299635,0.005675615,0.000006778978,0.0009887493,0.0000060733673,0.00005838363,0.00006768945,0.99032825,0.00021953143,0.0000036001948,0.0017806737],"study_design_scores_gemma":[0.0022030426,0.00026138983,0.00050051295,0.00013840004,0.00040329783,0.000017432789,0.000052357158,0.0002362642,0.99087787,0.004673519,0.00050342036,0.00013247669],"about_ca_topic_score_codex":0.000072612165,"about_ca_topic_score_gemma":0.000018585684,"teacher_disagreement_score":0.011595578,"about_ca_system_score_codex":0.0003557547,"about_ca_system_score_gemma":0.00008285036,"threshold_uncertainty_score":0.37277767},"labels":[],"label_agreement":null},{"id":"W2559997330","doi":"10.1016/j.jprot.2016.12.003","title":"NIPTL-Novo: Non-isobaric peptide termini labeling assisted peptide de novo sequencing","year":2016,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Key Scientific Instrument and Equipment Development Projects of China; National Natural Science Foundation of China","keywords":"Peptide; Isobaric labeling; Isotopic labeling; DNA sequencing; Computational biology; Chemistry; Tandem mass tag; Biology; Mass spectrometry; Quantitative proteomics; Tandem mass spectrometry; Biochemistry; Proteomics; Chromatography; Gene; Protein mass spectrometry","score_opus":0.02116315074676257,"score_gpt":0.2820426838688538,"score_spread":0.2608795331220912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559997330","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6551794,0.000045604087,0.34134737,0.0007107597,0.000048197973,0.00019584846,0.000026314357,0.00006669425,0.0023798498],"genre_scores_gemma":[0.45242098,0.00016854872,0.54525846,0.00015654253,0.00047524308,0.00005973621,0.000001989798,0.000059616188,0.0013988614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980623,0.000020751051,0.0009011485,0.00026330422,0.00028586917,0.000466609],"domain_scores_gemma":[0.9977947,0.00011750721,0.0010560523,0.00044996987,0.00035156618,0.00023020769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054261804,0.00026542446,0.000394957,0.00012853337,0.00017877789,0.000068699475,0.0005958514,0.00023105528,0.0001362715],"category_scores_gemma":[0.00030359643,0.0002005117,0.0002312537,0.00017145884,0.00008924663,0.00043232436,0.00012251672,0.0005819359,0.00002268604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061209284,0.00005443664,0.0022282088,0.00005981194,0.000043599874,0.00005994933,0.000110024725,0.000050282397,0.9931407,0.0002066777,0.0002634319,0.0037216847],"study_design_scores_gemma":[0.0011743021,0.000085279724,0.00018105685,0.0007739321,0.00006724934,0.0014943184,0.00011660472,0.00023142449,0.9832813,0.007795641,0.0044255946,0.0003732567],"about_ca_topic_score_codex":0.000010375249,"about_ca_topic_score_gemma":0.0000052158675,"teacher_disagreement_score":0.20391113,"about_ca_system_score_codex":0.00088600756,"about_ca_system_score_gemma":0.00047961486,"threshold_uncertainty_score":0.817663},"labels":[],"label_agreement":null},{"id":"W2561006151","doi":"10.1007/978-3-319-41448-5_24","title":"Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments Through an MRM-with-Standard-Peptides Quantitative Approach","year":2016,"lang":"en","type":"review","venue":"Advances in experimental medicine and biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Protocol (science); Biomarker; Quantitative proteomics; Chemistry; Computational biology; Computer science; Chromatography; Proteomics; Medicine; Biology; Biochemistry; Pathology","score_opus":0.14661045740510653,"score_gpt":0.5254234095990006,"score_spread":0.37881295219389405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561006151","genre_codex":"review","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000057572506,0.6808423,0.2117814,0.000061394654,0.00003705411,0.10385048,0.0005515836,0.00013015237,0.0026881169],"genre_scores_gemma":[0.00005941313,0.28513455,0.25625724,0.000042271786,0.00010957548,0.45809734,0.00018678067,0.00006443962,0.000048387625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742246,0.00008107322,0.000753816,0.0010867137,0.00013897744,0.0005169834],"domain_scores_gemma":[0.9986393,0.00018593822,0.0005303767,0.00043009358,0.00009729566,0.000116999945],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025222808,0.0006256856,0.0015766573,0.000113526185,0.00022104879,0.00002158236,0.00033765988,0.0002912774,0.000043172084],"category_scores_gemma":[0.000042475633,0.00036477734,0.000080056605,0.00019706672,0.00053989474,0.0004141309,0.00013391003,0.00025581216,0.0000010490085],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020864315,0.00038177444,0.000009537032,0.010053446,0.00014575364,0.000006102334,0.00048231505,0.0000014800728,0.026018968,0.05105316,0.00006237298,0.90969867],"study_design_scores_gemma":[0.0019478416,0.0019106675,4.238533e-8,0.01263059,0.000032077725,0.000016127973,0.0006559291,0.0000080838345,0.014442611,0.004877057,0.96292686,0.00055212964],"about_ca_topic_score_codex":0.000025142866,"about_ca_topic_score_gemma":0.000008190607,"teacher_disagreement_score":0.96286446,"about_ca_system_score_codex":0.00035738648,"about_ca_system_score_gemma":0.00011846054,"threshold_uncertainty_score":0.99988043},"labels":[],"label_agreement":null},{"id":"W2562086392","doi":"10.1016/j.copbio.2016.11.004","title":"Digestomics: an emerging strategy for comprehensive analysis of protein catabolism","year":2016,"lang":"en","type":"review","venue":"Current Opinion in Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canada Foundation for Innovation","keywords":"Proteases; Computational biology; Biology; Proteome; Proteomics; In silico; Catabolism; Biochemistry; Enzyme; Gene","score_opus":0.14570123084538167,"score_gpt":0.4510347096470821,"score_spread":0.3053334788017004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562086392","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000058839072,0.97091776,0.025515147,0.000049001064,0.00017445849,0.0013196918,0.001663695,0.00028089358,0.000020536801],"genre_scores_gemma":[0.000053903754,0.99155825,0.003600921,8.0098704e-7,0.0001320719,0.0027688423,0.0018162964,0.00005607365,0.000012821604],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977051,0.000027350801,0.001032467,0.00076696585,0.000095428055,0.00037271006],"domain_scores_gemma":[0.99770355,0.00009103956,0.000970684,0.0010723317,0.000107093394,0.000055278844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008624379,0.0004252152,0.0017816287,0.0010526491,0.00005911876,0.00001088171,0.00079403014,0.0010428135,0.000035097033],"category_scores_gemma":[0.000035324214,0.00036731863,0.00046067568,0.0009659171,0.00021723285,0.00006403511,0.00018427463,0.00058615877,0.0000034288005],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056181248,0.00010795592,0.000001850876,0.008624695,0.00017740241,9.905092e-8,0.000007007626,0.000006439735,0.00046483273,0.04046929,0.000033951215,0.95010084],"study_design_scores_gemma":[0.0001816303,0.000027304046,3.8514565e-7,0.006626114,0.0003063742,0.000001925841,0.000018330973,0.00012788684,0.0015187808,0.0029222022,0.9878784,0.00039067882],"about_ca_topic_score_codex":0.000010759896,"about_ca_topic_score_gemma":0.000003110961,"teacher_disagreement_score":0.9878444,"about_ca_system_score_codex":0.00015359247,"about_ca_system_score_gemma":0.0001385451,"threshold_uncertainty_score":0.99987787},"labels":[],"label_agreement":null},{"id":"W2562519917","doi":"10.1158/1538-7445.am2015-1570","title":"Abstract 1570: Early Detection Research Network (EDRN) validation of circulating ovarian cancer biomarkers","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ovarian cancer; Medicine; Cancer; Serous fluid; Oncology; Internal medicine; Asymptomatic; Disease","score_opus":0.17670933954968127,"score_gpt":0.46052400918555264,"score_spread":0.2838146696358714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562519917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98585314,0.00070534425,0.002961651,0.0003631507,0.00007189924,0.00050206063,0.000044750082,0.000106911975,0.00939107],"genre_scores_gemma":[0.99505293,0.0002736453,0.0021675585,0.0000055672353,0.0006265648,0.0014160783,0.000019150564,0.00005128743,0.00038719998],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99721783,0.00011578128,0.00037986043,0.0004685766,0.0010296246,0.00078830705],"domain_scores_gemma":[0.997413,0.00024775465,0.00014553839,0.0005838004,0.0013818936,0.00022800537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030134725,0.00013258314,0.00018443615,0.00019516012,0.0004413101,0.00008118515,0.00043055785,0.00021264984,0.00045357196],"category_scores_gemma":[0.00026157068,0.00013990114,0.00006108206,0.0012521527,0.0002857487,0.0002018374,0.0002081428,0.000942451,0.00002039925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019549148,0.00004910147,0.0055500516,0.00016839993,0.000059709633,0.0000044449835,0.00034340651,0.0023101785,0.94974107,0.0007020445,0.0013088926,0.03956719],"study_design_scores_gemma":[0.00041673222,0.000039325394,0.0014011635,0.0002727244,0.000007729667,0.0000022279346,0.0003039325,0.00050844916,0.97801346,0.013628958,0.0052210707,0.00018420721],"about_ca_topic_score_codex":0.008645446,"about_ca_topic_score_gemma":0.00022222553,"teacher_disagreement_score":0.039382983,"about_ca_system_score_codex":0.0008554728,"about_ca_system_score_gemma":0.00050967577,"threshold_uncertainty_score":0.9979561},"labels":[],"label_agreement":null},{"id":"W2563051760","doi":"10.1371/journal.pone.0168750","title":"iTRAQ-Based Quantitative Proteomics Identifies Potential Regulatory Proteins Involved in Chicken Eggshell Brownness","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ottawa","keywords":"Proteomics; Eggshell; Quantitative proteomics; Ovotransferrin; Biology; Protoporphyrin; Biochemistry; Protoporphyrin IX; Cell biology; Translocator protein; Chemistry; Gene; Egg white; Immunology","score_opus":0.035058434461267725,"score_gpt":0.2546873959618563,"score_spread":0.21962896150058858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563051760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9656125,0.000058415295,0.031542078,0.0008001597,0.000009574476,0.0010452284,0.000106076,0.0002861647,0.00053980754],"genre_scores_gemma":[0.8729321,0.000039589824,0.12391976,0.00004603329,0.000075007156,0.0017637364,0.000037425198,0.00005606251,0.0011303133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984224,0.000028698718,0.00041410726,0.00048166612,0.00031234612,0.00034081875],"domain_scores_gemma":[0.9988676,0.00006202573,0.00021957986,0.0006189438,0.00014465938,0.00008721162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016166751,0.00022608778,0.00030323802,0.000101608595,0.00010976934,0.000036949637,0.00036178666,0.00019635081,0.00024210193],"category_scores_gemma":[0.00011886631,0.00019393823,0.00008038136,0.00017274277,0.00018554862,0.00021985012,0.000087657194,0.0002505916,0.000051487263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011584235,0.00086624746,0.0019045769,0.00023364642,0.000041028587,0.0000047730805,0.00006456828,0.000014826629,0.9946019,0.0019571662,0.0000202349,0.00017520387],"study_design_scores_gemma":[0.00081997353,0.00003575722,0.0004678547,0.00072172703,0.00003037027,4.5889462e-7,0.0000612774,0.00050926954,0.9825609,0.014448093,0.00003883519,0.0003055329],"about_ca_topic_score_codex":0.000041295058,"about_ca_topic_score_gemma":0.00007073912,"teacher_disagreement_score":0.092680424,"about_ca_system_score_codex":0.0001599429,"about_ca_system_score_gemma":0.00010348617,"threshold_uncertainty_score":0.79085714},"labels":[],"label_agreement":null},{"id":"W2564726982","doi":"10.1093/bib/bbw115","title":"Visualizing and comparing results of different peptide identification methods","year":2016,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Computer science; Tandem mass spectrometry; Workflow; Database search engine; Computational biology; Complementarity (molecular biology); Fragmentation (computing); Sequence database; Search engine; Data mining; Mass spectrometry; Pattern recognition (psychology); Artificial intelligence; Chemistry; Biology; Information retrieval; Genetics; Chromatography","score_opus":0.028882271352824836,"score_gpt":0.3417483070402555,"score_spread":0.31286603568743065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564726982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44322932,0.000034665896,0.55079323,0.00032765808,0.000010970897,0.00013763364,0.000023550578,0.00008763592,0.005355354],"genre_scores_gemma":[0.67913806,0.00019132716,0.320419,0.000031228657,0.000009329412,0.00003184983,0.000011047629,0.000009544962,0.00015856413],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903685,0.000007252879,0.0006392976,0.000106781124,0.00008314101,0.00012669402],"domain_scores_gemma":[0.99919313,0.00013791298,0.00035521472,0.00024499648,0.00003640008,0.00003231604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481242,0.00009253084,0.00016801064,0.000057749825,0.000040800252,0.00001918398,0.00012216676,0.0000614152,0.000005053954],"category_scores_gemma":[0.00016416213,0.00007031623,0.000025305093,0.000073368516,0.000073650495,0.00015484181,0.00009972597,0.00006884542,0.0000013730066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055476554,0.00007501532,0.0049293893,0.0005033923,0.000015948857,2.6487794e-7,0.0015829358,0.000009785542,0.8035989,0.024564983,0.00027627958,0.16438767],"study_design_scores_gemma":[0.0007104061,0.000009272438,0.0011853083,0.00039120618,0.00000883586,0.000005577492,0.00014880813,0.011894187,0.9726466,0.0103029935,0.0025291378,0.00016766507],"about_ca_topic_score_codex":0.00003090344,"about_ca_topic_score_gemma":0.000005007954,"teacher_disagreement_score":0.23590878,"about_ca_system_score_codex":0.00004281801,"about_ca_system_score_gemma":0.000007190489,"threshold_uncertainty_score":0.28674126},"labels":[],"label_agreement":null},{"id":"W2565874974","doi":"10.1186/s12859-016-1330-0","title":"Spectra library assisted de novo peptide sequencing for HCD and ETD spectra pairs","year":2016,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Biology","score_opus":0.025093549680734226,"score_gpt":0.25720118263225245,"score_spread":0.2321076329515182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565874974","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034841117,0.000040488598,0.9319968,0.00036826008,0.000013128298,0.00032628508,0.00019862349,0.00046722704,0.03174807],"genre_scores_gemma":[0.02360672,0.00013522667,0.9740965,0.00015693015,0.000111421505,0.00014034627,0.000034524837,0.000035326284,0.0016830512],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910396,0.0000035975395,0.0003562089,0.00014024961,0.00008498811,0.0003110048],"domain_scores_gemma":[0.99917877,0.00017536843,0.00017025277,0.00033684808,0.000023256176,0.00011553552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092113936,0.00016264038,0.00015641049,0.00004178642,0.00012433562,0.00006182562,0.00018825942,0.00013111463,0.00011764396],"category_scores_gemma":[0.000059855356,0.00012439628,0.00007505693,0.00007597425,0.00007578068,0.0004056716,0.0000697631,0.000104691935,0.000013800275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028427358,0.00019758755,0.013699901,0.0045454917,0.00016097688,0.000014396162,0.0021768538,0.0000840111,0.7111994,0.15078643,0.0102953855,0.10655529],"study_design_scores_gemma":[0.0015063966,0.00007869425,0.0003313423,0.00043961275,0.000059151214,0.00026085653,0.00085950794,0.03523524,0.87535024,0.050845757,0.034256518,0.00077670714],"about_ca_topic_score_codex":0.0000018191349,"about_ca_topic_score_gemma":0.000004445821,"teacher_disagreement_score":0.16415082,"about_ca_system_score_codex":0.00011284615,"about_ca_system_score_gemma":0.00014431821,"threshold_uncertainty_score":0.5072733},"labels":[],"label_agreement":null},{"id":"W2568086282","doi":"10.1016/j.jprot.2016.12.005","title":"Corrigendum to “Introduction to the HUPO 2015 Special Issue” [J. Proteomics (2016) 1–2]","year":2017,"lang":"en","type":"erratum","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Research in Immunology and Cancer; Genome British Columbia; Université de Montréal; University of Victoria","funders":"","keywords":"Library science; Data science; Computational biology; Computer science; Biology","score_opus":0.01851755457194884,"score_gpt":0.3016159881879553,"score_spread":0.2830984336160065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568086282","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012024981,0.0014106429,0.48081556,0.22157122,0.17112494,0.013891524,0.0018510214,0.0004251825,0.10770741],"genre_scores_gemma":[0.000017220913,0.00089803664,0.26430523,0.00048576112,0.24382946,0.0005521861,0.00009417019,0.00021009533,0.48960784],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962321,0.000046539815,0.0014445476,0.00071742653,0.00084868236,0.0007107245],"domain_scores_gemma":[0.9930939,0.00002153849,0.0029972154,0.0022360352,0.0011402636,0.00051103206],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010241409,0.0006982895,0.0010311529,0.0002874273,0.00073717075,0.0004427387,0.0029776741,0.000934407,0.0010557686],"category_scores_gemma":[0.00085918646,0.0005463858,0.00050472806,0.0002177885,0.00013251649,0.00029210068,0.00055782654,0.0035657275,0.00041540354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002717917,0.00009393846,0.0000043200184,0.00010680501,0.00009500729,0.000016538055,0.00019936122,0.00009444401,0.0238485,0.00019459774,0.97078234,0.004292361],"study_design_scores_gemma":[0.00029635045,0.000210054,0.0000058476485,0.00040810608,0.0001290288,0.0002223271,0.000072470924,0.000033441724,0.058292907,0.0023627274,0.9373834,0.00058334606],"about_ca_topic_score_codex":0.000037455873,"about_ca_topic_score_gemma":0.000044463573,"teacher_disagreement_score":0.38190043,"about_ca_system_score_codex":0.0008636382,"about_ca_system_score_gemma":0.0011204502,"threshold_uncertainty_score":0.9998574},"labels":[],"label_agreement":null},{"id":"W2569641810","doi":"10.1021/acs.analchem.6b04544","title":"Predicting Electrophoretic Mobility of Tryptic Peptides for High-Throughput CZE-MS Analysis","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Chemistry; Peptide; Electrophoresis; Capillary electrophoresis; Chromatography; Peptide sequence; Biochemistry","score_opus":0.013945234371079807,"score_gpt":0.3040924283901241,"score_spread":0.2901471940190443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569641810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612134,0.00003572727,0.028694367,0.00019742116,0.0000052860005,0.00013644034,0.0001389886,0.00009523802,0.0094830915],"genre_scores_gemma":[0.9849648,0.000033520202,0.013416892,0.000011522785,0.00014033953,0.00016627465,0.00009701452,0.00002419203,0.0011454846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984582,0.0000035844962,0.00048088952,0.0005206801,0.00019066318,0.00034599873],"domain_scores_gemma":[0.9977215,0.00016109133,0.00039020815,0.0014225597,0.00017723646,0.00012741794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014943059,0.00020565178,0.00047509198,0.000021305175,0.00029980036,0.00005704385,0.00060850626,0.00021415378,0.00042372022],"category_scores_gemma":[0.0005269591,0.00020393789,0.000369193,0.00013844133,0.00036242208,0.000076864984,0.00013568859,0.00025222648,0.0000019782926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012681744,0.00041691246,0.055318207,0.00095459877,0.0011009629,0.000003358418,0.000031407686,0.00023369535,0.9340143,0.0068448964,0.00017619402,0.0007786417],"study_design_scores_gemma":[0.0003055851,0.000019866126,0.0009354395,0.000032575408,0.00093378214,0.0000019895876,0.00002800761,0.021839157,0.95844513,0.0170152,0.00020918321,0.00023406578],"about_ca_topic_score_codex":0.00011307384,"about_ca_topic_score_gemma":0.000004612489,"teacher_disagreement_score":0.054382768,"about_ca_system_score_codex":0.000094016345,"about_ca_system_score_gemma":0.000051568823,"threshold_uncertainty_score":0.8316345},"labels":[],"label_agreement":null},{"id":"W2576921847","doi":"10.1007/978-1-4939-6762-9_25","title":"Using Reciprocal Protein-Peptide Array Screening to Unravel Protein Interaction Networks","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computational biology; Phosphorylation; SH2 domain; Protein–protein interaction; Peptide; Protein phosphorylation; Biology; Tyrosine phosphorylation; DECIPHER; Cell biology; Chemistry; Bioinformatics; Biochemistry; Protein kinase A","score_opus":0.06477070371413267,"score_gpt":0.4544120934419625,"score_spread":0.3896413897278298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576921847","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052757405,0.000030306595,0.94401383,0.00021206235,0.000033792927,0.00062419806,0.0000040779805,0.00007181189,0.002252526],"genre_scores_gemma":[0.06223785,0.0000025679103,0.9366177,0.00008356502,0.00009625811,0.00073831127,0.000010669919,0.00003782778,0.0001752528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857366,0.0001624458,0.00033789416,0.0005142173,0.000053133528,0.00035867465],"domain_scores_gemma":[0.99869955,0.000040167935,0.00027288127,0.000849025,0.000056851262,0.00008151778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063570583,0.00019810644,0.00026433807,0.00007853647,0.00024728576,0.000052376166,0.00049650116,0.00027872663,0.000038289116],"category_scores_gemma":[0.0005442776,0.00020531025,0.00007837383,0.000090592555,0.00010298148,0.00006307998,0.00024436603,0.0005212934,0.0000022681872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043739616,0.000020335236,0.00026859937,0.000012062515,0.000010846147,0.000005243246,0.000014246979,0.0009495513,0.9527448,0.0031236883,0.0000011601927,0.042805716],"study_design_scores_gemma":[0.00016839073,0.000030742,0.000017468854,0.00016398975,0.0000063450075,0.000010103904,0.000020868756,0.006066906,0.97557306,0.013925723,0.0037794502,0.00023696368],"about_ca_topic_score_codex":0.00016463842,"about_ca_topic_score_gemma":0.000011340158,"teacher_disagreement_score":0.042568754,"about_ca_system_score_codex":0.00009854198,"about_ca_system_score_gemma":0.00002287918,"threshold_uncertainty_score":0.8372309},"labels":[],"label_agreement":null},{"id":"W2584164846","doi":"10.1515/cclm-2016-0947","title":"Variant peptide detection utilizing mass spectrometry: laying the foundations for proteogenomic identification and validation","year":2017,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Proteogenomics; Mass spectrometry; Identification (biology); Computational biology; Peptide; Chromatography; Chemistry; Biology; Biochemistry","score_opus":0.05516807748121654,"score_gpt":0.37565801713608976,"score_spread":0.3204899396548732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584164846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8511336,0.00035662975,0.14103661,0.003603693,0.00012938479,0.000772091,0.0001029897,0.00015624722,0.0027087654],"genre_scores_gemma":[0.99103713,0.0004796905,0.0065098642,0.00006934464,0.0009022138,0.0004319473,0.00006747395,0.000026020754,0.00047631242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866754,0.0000222785,0.00055587577,0.00046171114,0.00011373478,0.00017888527],"domain_scores_gemma":[0.9980513,0.0003623344,0.0005873784,0.00071027246,0.0001726013,0.00011613239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010616977,0.0001652125,0.00023028423,0.000013556354,0.0012242161,0.00013357856,0.00026604335,0.00018765962,0.00006272117],"category_scores_gemma":[0.0017226714,0.00013325531,0.000046966295,0.00007203239,0.0005123756,0.00018213755,0.0000702393,0.00036052856,0.000001629432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003951404,0.000026165631,0.0014631286,0.00018551436,0.000030335415,8.8505533e-7,0.000039975243,0.0000015046413,0.99248815,0.0006595697,0.00011100941,0.0049542226],"study_design_scores_gemma":[0.0013687644,0.00005936296,0.0022708967,0.00020136357,0.00022446309,0.000018197225,0.0007855769,0.0012849753,0.95241827,0.016660329,0.024358442,0.0003493553],"about_ca_topic_score_codex":0.000009517726,"about_ca_topic_score_gemma":0.0000015297991,"teacher_disagreement_score":0.13990356,"about_ca_system_score_codex":0.000044677694,"about_ca_system_score_gemma":0.000053692296,"threshold_uncertainty_score":0.9415804},"labels":[],"label_agreement":null},{"id":"W2586979917","doi":"10.1021/acs.jproteome.6b00915","title":"Expanding Proteome Coverage with CHarge Ordered Parallel Ion aNalysis (CHOPIN) Combined with Broad Specificity Proteolysis","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"Wellcome Trust","keywords":"Proteome; Trypsin; Orbitrap; Mass spectrometry; Proteolysis; Computational biology; Chemistry; Proteomics; Biology; Biochemistry; Chromatography; Enzyme; Gene","score_opus":0.05260962194516921,"score_gpt":0.3722427138326244,"score_spread":0.3196330918874552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586979917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8960654,0.0000724649,0.09515253,0.001758625,0.000013759433,0.0025197815,0.00004191177,0.00007218582,0.004303348],"genre_scores_gemma":[0.9327379,0.00026002008,0.06330215,0.000008396796,0.0003066979,0.0011337427,0.000016351347,0.00006960369,0.002165149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.995955,0.00012451837,0.0007963056,0.00058156915,0.0017259946,0.00081659417],"domain_scores_gemma":[0.9948942,0.000102027065,0.0015399164,0.0015834849,0.001507311,0.00037305232],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0018609215,0.0003654791,0.000872498,0.00068365445,0.0015309929,0.0006282216,0.0015066474,0.00022349559,0.00084787724],"category_scores_gemma":[0.00028892644,0.0002559867,0.0002853729,0.0009821685,0.00046535983,0.0007853585,0.00027956985,0.0018471676,0.000018720828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009208254,0.001232759,0.041965794,0.0006739383,0.0024094013,0.0003741106,0.0004104067,0.00061221584,0.9382408,0.0016643653,0.00021338984,0.0029945537],"study_design_scores_gemma":[0.006665061,0.0024715944,0.006868552,0.0010879269,0.0004622497,0.00016022827,0.00029749298,0.0010880445,0.9699599,0.0075829634,0.0023473722,0.0010085991],"about_ca_topic_score_codex":0.0001710362,"about_ca_topic_score_gemma":0.0000454444,"teacher_disagreement_score":0.036672484,"about_ca_system_score_codex":0.00043475124,"about_ca_system_score_gemma":0.00035204715,"threshold_uncertainty_score":0.9999892},"labels":[],"label_agreement":null},{"id":"W2587597817","doi":"10.1074/mcp.e117.067801","title":"New Guidelines for Publication of Manuscripts Describing Development and Application of Targeted Mass Spectrometry Measurements of Peptides and Proteins","year":2017,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Proteomics; Mass spectrometry; Publication; Scopus; Computer science; Computational biology; Data science; Chemistry; MEDLINE; Chromatography; Biology; Political science; Biochemistry","score_opus":0.07137739670215529,"score_gpt":0.2953645119563449,"score_spread":0.2239871152541896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587597817","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36419472,0.00025471943,0.6342425,0.00014397348,0.00000409398,0.0009815138,0.000016670203,0.00001720541,0.00014463562],"genre_scores_gemma":[0.44201285,0.000014288004,0.5575641,0.000006025789,0.000011651544,0.00028616434,0.00004223544,0.000019834983,0.000042843007],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998662,0.00000872856,0.0006242239,0.00033196385,0.00020976855,0.00016330653],"domain_scores_gemma":[0.99769986,0.000008981112,0.000954291,0.00063763774,0.0006269974,0.00007222884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003432423,0.00017238973,0.000284395,0.00008474797,0.00014397726,0.000034273082,0.00031229435,0.00012406183,0.0000037656598],"category_scores_gemma":[0.00028704788,0.00018642253,0.000057968904,0.000065410895,0.000100060526,0.00011589774,0.00012059841,0.00008044807,1.6644634e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031631036,0.00003606616,0.0015900985,0.000406623,0.000043307587,1.3567535e-7,0.000046555084,0.000010001247,0.9874171,0.0017915923,0.000011646001,0.008615257],"study_design_scores_gemma":[0.0004832029,0.00003038122,0.00014586878,0.000111666785,0.00003640175,0.0000012631372,0.000022057911,0.00065367465,0.9929229,0.005235175,0.00019794128,0.00015946657],"about_ca_topic_score_codex":0.00008697123,"about_ca_topic_score_gemma":0.0000041421736,"teacher_disagreement_score":0.07781814,"about_ca_system_score_codex":0.00004376369,"about_ca_system_score_gemma":0.00009221942,"threshold_uncertainty_score":0.760209},"labels":[],"label_agreement":null},{"id":"W2593288693","doi":"10.1021/acs.analchem.6b04169","title":"Bead-Extractor Assisted Ready-to-Use Reagent System (BEARS) for Immunoprecipitation Coupled to MALDI-MS","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; McGill University and Génome Québec Innovation Centre; University of Victoria","funders":"Genome British Columbia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada; Genome Canada","keywords":"Chemistry; Chromatography; Extractor; Reagent; Immunoprecipitation; Immunoassay; Mass spectrometry; Magnetic bead; Process engineering; Biochemistry; Antibody","score_opus":0.041889498434859035,"score_gpt":0.3350319645005442,"score_spread":0.29314246606568517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593288693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90781,0.000017182427,0.07407185,0.0012122211,0.00005459953,0.0008548789,0.00054220896,0.00048627087,0.014950838],"genre_scores_gemma":[0.9557273,0.000006360556,0.035330378,0.00007997814,0.0002111909,0.0008114006,0.0002936741,0.00006251983,0.00747722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823856,0.0000051626084,0.00047981672,0.00061602757,0.00024338381,0.00041703344],"domain_scores_gemma":[0.9973039,0.00020853123,0.0002422747,0.0015673963,0.00029607947,0.00038183905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020831311,0.0002659697,0.00035560754,0.000023829924,0.00042354962,0.0002795644,0.0006723056,0.000269702,0.0001674919],"category_scores_gemma":[0.0007355652,0.00027655266,0.00017075217,0.00007684885,0.00006932036,0.0001487133,0.00017044968,0.00023985495,0.00007140245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020420396,0.00011182853,0.0005007525,0.0004138469,0.00007454889,0.0000073394617,0.000020605263,0.000031396805,0.99380493,0.0022280444,0.0017634699,0.0008390037],"study_design_scores_gemma":[0.0006358911,0.000036809583,0.0022890165,0.0003517744,0.00015359478,0.000018163251,0.00009334255,0.0068845893,0.9546474,0.00033554214,0.03393882,0.0006150437],"about_ca_topic_score_codex":0.00010409664,"about_ca_topic_score_gemma":0.000004086172,"teacher_disagreement_score":0.04791733,"about_ca_system_score_codex":0.00031864233,"about_ca_system_score_gemma":0.000057301797,"threshold_uncertainty_score":0.99996865},"labels":[],"label_agreement":null},{"id":"W2593349649","doi":"10.1074/mcp.m116.066233","title":"Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates","year":2017,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec; Institute for Research in Immunology and Cancer","funders":"National Center for Research Resources; Genome Canada; Canadian Institutes of Health Research; National Institutes of Health; Canada Research Chairs; Fonds de Recherche du Québec - Santé","keywords":"Phosphoproteomics; Autophosphorylation; Phosphorylation; Dephosphorylation; Kinase; Cell biology; Biochemistry; Phosphatase; Substrate-level phosphorylation; Protein phosphorylation; Cyclin-dependent kinase 1; Biology; Chemistry; Protein kinase A; Cell cycle","score_opus":0.013747677087553733,"score_gpt":0.2619846309687603,"score_spread":0.24823695388120656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593349649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96862316,0.000876538,0.022705609,0.00006599945,0.000040707862,0.0007517287,0.00020331665,0.00011602414,0.006616923],"genre_scores_gemma":[0.9412642,0.00017130886,0.05784866,0.000003006449,0.000030641895,0.00031212848,0.0001769173,0.00005488448,0.00013824315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982849,0.000040246963,0.0005396335,0.0004892242,0.0003040969,0.00034190548],"domain_scores_gemma":[0.9976147,0.000030611496,0.0010511011,0.0010316038,0.00018156477,0.000090444606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025413785,0.00033044638,0.0004703583,0.000043839496,0.0003384397,0.00007220246,0.00074651564,0.00023560034,0.000065657354],"category_scores_gemma":[0.00029290165,0.00034566436,0.00022516501,0.000115544266,0.00031016767,0.0001671448,0.00026683402,0.00031679723,0.0000037279192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023738186,0.00014000514,0.0049593104,0.0003322763,0.00007237339,0.0000144602245,0.00004928553,0.0002944334,0.9864733,0.0055870074,0.0000022460476,0.0018379175],"study_design_scores_gemma":[0.00088503613,0.00009618212,0.00017160868,0.0001617069,0.0000890614,0.000002815984,0.00004952973,0.0019534426,0.9925759,0.0035473173,0.00014245172,0.0003249673],"about_ca_topic_score_codex":0.00048711317,"about_ca_topic_score_gemma":0.000022863987,"teacher_disagreement_score":0.03514305,"about_ca_system_score_codex":0.00014143086,"about_ca_system_score_gemma":0.0001047479,"threshold_uncertainty_score":0.9998995},"labels":[],"label_agreement":null},{"id":"W2593453167","doi":"10.1016/j.jprot.2017.03.002","title":"The benefits (and misfortunes) of SDS in top-down proteomics","year":2017,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteomics; Computational biology; Biology; Genetics","score_opus":0.06608432221999927,"score_gpt":0.3666176060971264,"score_spread":0.30053328387712713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593453167","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008105486,0.9956986,0.0013306534,0.00013490494,0.00006894501,0.0012486835,0.00008826497,0.000012229418,0.0006072034],"genre_scores_gemma":[0.00003168088,0.9331606,0.06591701,0.0000051851493,0.00026722526,0.0002744725,0.000006705738,0.00006532236,0.0002718256],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972904,0.000036374382,0.0018229905,0.00026572653,0.00026985427,0.00031466395],"domain_scores_gemma":[0.99412465,0.00019170095,0.004473515,0.00085639325,0.00023336026,0.000120353776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00090240524,0.0004040301,0.0016018164,0.00015019855,0.00022502351,0.00010743634,0.0012462445,0.0005227693,0.000011090685],"category_scores_gemma":[0.00035174948,0.00027177916,0.0005036415,0.000112715774,0.00022744114,0.00015383899,0.00025622622,0.0013671227,0.0000014075683],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005273751,0.00006760359,0.000039973722,0.0052662333,0.0001042411,0.000010150526,0.000035929017,0.000008031603,0.00051498023,0.0028019445,0.000052247407,0.99104595],"study_design_scores_gemma":[0.00044162534,0.000084782434,0.0000023679006,0.015681414,0.0002760823,0.0004005159,0.00002386494,0.000020356903,0.005953669,0.0051916563,0.97152025,0.00040344006],"about_ca_topic_score_codex":0.000013467965,"about_ca_topic_score_gemma":0.000012150846,"teacher_disagreement_score":0.9906425,"about_ca_system_score_codex":0.00019246487,"about_ca_system_score_gemma":0.0005918843,"threshold_uncertainty_score":0.9999734},"labels":[],"label_agreement":null},{"id":"W2594905547","doi":"10.1007/978-1-4939-6857-2_10","title":"Antibody Validation by Immunoprecipitation Followed by Mass Spectrometry Analysis","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Wellcome Trust","keywords":"Immunoprecipitation; Antibody; Mass spectrometry; Chemistry; Computational biology; Antigen; RNA; Molecular biology; Antibody microarray; Biology; Biochemistry; Chromatography; Gene; Immunology","score_opus":0.013700401556982666,"score_gpt":0.42771365420194896,"score_spread":0.4140132526449663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594905547","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044974323,0.00028562304,0.95106673,0.00018719668,0.000026623693,0.000113405586,0.00006238076,0.000052997228,0.0032307112],"genre_scores_gemma":[0.0880612,0.00013261974,0.91023225,0.000036083176,0.000012293085,0.000119293625,0.0011215516,0.000018337063,0.00026639292],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885476,0.00015660608,0.00029303133,0.00041205803,0.000058910962,0.00022466047],"domain_scores_gemma":[0.9986596,0.00009163276,0.00030618985,0.0008695226,0.000038568618,0.000034468096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005629407,0.00014847389,0.0002908864,0.00012872643,0.00015383662,0.00004714806,0.00047038597,0.00023963189,0.00013761778],"category_scores_gemma":[0.0002991866,0.00015799879,0.00013504908,0.00023404448,0.00009740505,0.000057241356,0.00008622752,0.000211219,0.000003168882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008246163,0.000031155105,0.0071423617,0.0000049962514,0.00010029098,9.714075e-7,0.000009828559,0.000010424786,0.98874956,0.0013100598,0.000027269112,0.0026048347],"study_design_scores_gemma":[0.00020293653,0.000016347562,0.000117546064,0.0000038140677,0.00008514285,5.6550067e-7,0.000011637166,0.0004512667,0.96897143,0.027935566,0.0020344092,0.00016935145],"about_ca_topic_score_codex":0.00008322143,"about_ca_topic_score_gemma":0.000001210162,"teacher_disagreement_score":0.04308688,"about_ca_system_score_codex":0.00006941643,"about_ca_system_score_gemma":0.000009990931,"threshold_uncertainty_score":0.6443004},"labels":[],"label_agreement":null},{"id":"W2605025239","doi":"10.1002/pmic.201500522","title":"SWATH‐ID: An instrument method which combines identification and quantification in a single analysis","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Onex (Canada)","funders":"","keywords":"Computer science; Fragmentation (computing); Identification (biology); Peptide; Data acquisition; Window (computing); Fragment (logic); Computational biology; Data mining; Chemistry; Biology; Algorithm; Biochemistry; World Wide Web","score_opus":0.04014432841446118,"score_gpt":0.34442281824555654,"score_spread":0.30427848983109534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605025239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6735175,0.000018744524,0.32480088,0.0005551557,0.000012166019,0.00036176675,0.00003109835,0.000075667514,0.0006269702],"genre_scores_gemma":[0.76661736,0.000059785583,0.23256154,0.000009633007,0.000024063966,0.0004552906,0.00013212733,0.000016126298,0.00012405711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988568,0.00002310834,0.00037431385,0.0004627768,0.00011298353,0.00017005423],"domain_scores_gemma":[0.99828947,0.000022446227,0.00042957457,0.0010881076,0.0001035702,0.00006682029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039430472,0.00014214289,0.00021718765,0.00012345446,0.00034363611,0.00027992655,0.00037508574,0.00012920116,0.000017528393],"category_scores_gemma":[0.00011234134,0.0001540302,0.0000381905,0.00019426778,0.000060151848,0.0003745398,0.000106648,0.00016653641,0.000003662617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026670969,0.0002158508,0.020926906,0.000045488225,0.000041455176,3.8054316e-7,0.00017477927,0.0001754715,0.95405996,0.006944035,0.0000040103855,0.01738499],"study_design_scores_gemma":[0.00034204067,0.00001869505,0.013513584,0.000020482403,0.00009876233,0.0000028200147,0.00009610491,0.03663066,0.9300405,0.018591488,0.00038753016,0.00025733036],"about_ca_topic_score_codex":0.00034840652,"about_ca_topic_score_gemma":0.00045209774,"teacher_disagreement_score":0.09309983,"about_ca_system_score_codex":0.00008417558,"about_ca_system_score_gemma":0.000021322629,"threshold_uncertainty_score":0.62811697},"labels":[],"label_agreement":null},{"id":"W2605644861","doi":"10.1021/acs.jproteome.7b00092","title":"Evaluating the Characteristics of Reporter Ion Signal Acquired in the Orbitrap Analyzer for Isobaric Mass Tag Proteome Quantification Experiments","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Manitoba; Canada's Michael Smith Genome Sciences Centre","funders":"BC Cancer Foundation","keywords":"Orbitrap; Isobaric process; Mass spectrometry; Chemistry; Spectrum analyzer; Detector; Chromatography; Biological system; Analytical Chemistry (journal); Computer science; Physics; Biology","score_opus":0.30100926082878016,"score_gpt":0.524096771400042,"score_spread":0.2230875105712618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605644861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613281,0.000094303294,0.032362103,0.0031618928,0.000033564233,0.002552154,0.00002721713,0.000008504858,0.0004321869],"genre_scores_gemma":[0.97172797,0.00004867157,0.02622634,0.000012510812,0.00029062625,0.0014262078,0.000008310022,0.000023584102,0.00023576217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99723655,0.00017028686,0.001014209,0.00023221124,0.001011667,0.0003350916],"domain_scores_gemma":[0.9958477,0.00027874456,0.0017707959,0.0009639444,0.0010850477,0.00005375717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007580973,0.00013227608,0.00028609732,0.00015445097,0.0006515121,0.00020764199,0.0013235558,0.00012369374,0.00007715166],"category_scores_gemma":[0.0011323198,0.00007955355,0.00015625764,0.00019631172,0.00024539576,0.0002638807,0.00010484377,0.0005473984,0.0000016829306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003002665,0.00014224957,0.0011149741,0.00012988185,0.000029226196,0.0000050992016,0.00037352776,0.000009953534,0.99457437,0.00030669005,0.00007526506,0.0029384901],"study_design_scores_gemma":[0.0006723911,0.0003861465,0.0039488487,0.00028852504,0.000026373276,0.000037917674,0.00044013685,0.003181501,0.97889054,0.0111923665,0.00080324506,0.00013203821],"about_ca_topic_score_codex":0.000019760693,"about_ca_topic_score_gemma":0.0000012973618,"teacher_disagreement_score":0.015683865,"about_ca_system_score_codex":0.0001328336,"about_ca_system_score_gemma":0.0002262032,"threshold_uncertainty_score":0.5010971},"labels":[],"label_agreement":null},{"id":"W2606279906","doi":"10.1016/j.syapm.2017.03.004","title":"Understanding aerobic/anaerobic metabolism in Caldibacillus debilis through a comparison with model organisms","year":2017,"lang":"en","type":"article","venue":"Systematic and Applied Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Biology; Biochemistry; Proteome; Fermentation; Escherichia coli; Thermophile; Metabolic pathway; Methylobacterium; Anaerobic exercise; Metabolism; Gene","score_opus":0.05606850860562298,"score_gpt":0.277712400997781,"score_spread":0.221643892392158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606279906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33595335,0.00035260056,0.65266204,0.00020544989,0.000025313238,0.0013941678,0.00004947326,0.00016047223,0.0091971485],"genre_scores_gemma":[0.94339687,0.00003206311,0.055865988,0.000057934725,0.000017305741,0.0003992083,0.000027470402,0.00003267981,0.00017048516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986471,0.000016284777,0.00049908314,0.00045317042,0.000046134668,0.00033823034],"domain_scores_gemma":[0.9986778,0.00006107437,0.0004561578,0.000729778,0.00002310764,0.000052087482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016464616,0.0002690785,0.00079449563,0.000036507237,0.00040870463,0.00007271848,0.00036422815,0.00022224264,0.000026259253],"category_scores_gemma":[0.00001507955,0.00020373915,0.000037808997,0.00005072202,0.00030430453,0.000077428595,0.00014761173,0.00024473266,0.000008295126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004042714,0.000060298982,0.00010861198,0.0036588637,0.0000602274,0.0000023601585,0.00093307876,0.0005380524,0.8071364,0.18738881,0.000060344868,0.000012500279],"study_design_scores_gemma":[0.005748637,0.00007725872,0.00002416979,0.0053639933,0.00048135046,0.00039358714,0.009090257,0.008164071,0.8488558,0.119373046,0.00033184243,0.0020959754],"about_ca_topic_score_codex":0.000038965518,"about_ca_topic_score_gemma":0.00012095898,"teacher_disagreement_score":0.6074435,"about_ca_system_score_codex":0.00012506978,"about_ca_system_score_gemma":0.00003705679,"threshold_uncertainty_score":0.83082414},"labels":[],"label_agreement":null},{"id":"W2606309635","doi":"10.1074/mcp.m116.066803","title":"Neprosin, a Selective Prolyl Endoprotease for Bottom-up Proteomics and Histone Mapping","year":2017,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trypsin; Proteomics; Peptide; Electron-transfer dissociation; Chemistry; Histone; Biochemistry; Peptide sequence; Proteolysis; Enzyme; Gene","score_opus":0.014743030951274074,"score_gpt":0.27730353088397125,"score_spread":0.2625604999326972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606309635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5435547,0.00029478263,0.45016012,0.00054606807,0.000042742395,0.00424772,0.000097268094,0.00022440641,0.00083214906],"genre_scores_gemma":[0.50057375,0.00005217093,0.48905647,0.000116177485,0.00015575369,0.008281469,0.00008441892,0.00015568566,0.0015240968],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99734396,0.000026212925,0.0005442085,0.00110821,0.00025859088,0.00071881834],"domain_scores_gemma":[0.9970089,0.00002938615,0.00073279726,0.0016893051,0.00028015906,0.00025946175],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00037710334,0.00053440564,0.0005104224,0.000095280404,0.0013466062,0.00036023135,0.00081135257,0.0004099365,0.000019043686],"category_scores_gemma":[0.00032704038,0.00059853535,0.00023527566,0.00008892655,0.00035840002,0.0002730457,0.00040780386,0.00069000165,0.000007825483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015355866,0.00009729485,0.00017604945,0.00032751707,0.00006331746,0.000020536747,0.00018552304,0.000014774892,0.9914658,0.0048872363,0.00006493205,0.0025434797],"study_design_scores_gemma":[0.001497402,0.00007243731,0.000015887157,0.00011593337,0.00006790561,0.000037864913,0.000046230445,0.0030402187,0.9647989,0.026002124,0.0036251047,0.0006799833],"about_ca_topic_score_codex":0.00010432961,"about_ca_topic_score_gemma":0.000004863245,"teacher_disagreement_score":0.042980973,"about_ca_system_score_codex":0.0002591799,"about_ca_system_score_gemma":0.00019261993,"threshold_uncertainty_score":0.9999535},"labels":[],"label_agreement":null},{"id":"W2606624575","doi":"10.71781/11903","title":"Proteomic approaches for the detection of unusual post-translational modifications in simple and complex bacterial protein mixtures","year":2004,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Posttranslational modification; Simple (philosophy); Computational biology; Chemistry; Computer science; Biology; Data science; Nanotechnology; Biochemistry; Materials science","score_opus":0.05637239461230408,"score_gpt":0.3256470243300385,"score_spread":0.2692746297177344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606624575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97798616,0.00007678021,0.013409979,0.00019172237,0.00001963548,0.005632328,0.0010839711,0.0000060477787,0.0015933877],"genre_scores_gemma":[0.94525665,0.000009492128,0.044268038,0.0000021386807,0.00006944726,0.004945168,0.0047653206,0.000034326647,0.0006494393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898994,0.000011919893,0.00039843886,0.000359226,0.00010265691,0.00013781006],"domain_scores_gemma":[0.99922955,0.000059075286,0.00032481668,0.00026427823,0.000095278076,0.000026991349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012881523,0.00018864291,0.00022744587,0.000058275018,0.00018365636,0.00007902685,0.00035744277,0.00024429904,0.00018735504],"category_scores_gemma":[0.000035122594,0.00016530888,0.00006198491,0.00009297613,0.0000651419,0.00010298284,0.00003084864,0.00021250715,0.0000012749823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003722801,0.000090189205,0.0000066498906,0.00014291184,0.000024849454,7.052752e-8,0.00047746493,0.00012622235,0.9395266,0.0006474998,0.0000019109543,0.058583315],"study_design_scores_gemma":[0.00073596026,0.000037181213,0.0007010461,0.00010257839,0.000049703245,0.0000020196524,0.0004408924,0.0010417766,0.98516643,0.008849898,0.0026383838,0.0002341445],"about_ca_topic_score_codex":0.00023897683,"about_ca_topic_score_gemma":0.0009653426,"teacher_disagreement_score":0.058349174,"about_ca_system_score_codex":0.000047551184,"about_ca_system_score_gemma":0.00018769917,"threshold_uncertainty_score":0.67411005},"labels":[],"label_agreement":null},{"id":"W2606647715","doi":"10.1021/acs.jproteome.7b00091","title":"Investigating Acquisition Performance on the Orbitrap Fusion When Using Tandem MS/MS/MS Scanning with Isobaric Tags","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Manitoba; Canada's Michael Smith Genome Sciences Centre","funders":"BC Cancer Foundation","keywords":"Orbitrap; Isobaric process; Isobaric labeling; Ion trap; Chemistry; Mass spectrometry; Quadrupole ion trap; Tandem mass spectrometry; Tandem mass tag; Tandem; Quantitative proteomics; Ion; Analytical Chemistry (journal); Chromatography; Proteomics; Protein mass spectrometry; Materials science; Physics; Biochemistry","score_opus":0.10556965193028817,"score_gpt":0.3839854837583343,"score_spread":0.27841583182804613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606647715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865224,0.000074966556,0.0048529394,0.0024728042,0.000016683412,0.0004731059,0.000003992639,0.000024914389,0.0055581965],"genre_scores_gemma":[0.9462917,0.00010850895,0.052573834,0.00005666918,0.0005393624,0.00009351521,0.0000016519049,0.00003921967,0.00029553036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99778044,0.00007327665,0.00042492166,0.00024133181,0.0010257106,0.00045433352],"domain_scores_gemma":[0.9975672,0.00013570588,0.0007965801,0.0006673709,0.0006708781,0.00016229477],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022915155,0.00017061426,0.0002277101,0.00015869064,0.0023376732,0.00037637725,0.00093335385,0.0001339815,0.00023156678],"category_scores_gemma":[0.00031198928,0.000109575565,0.00007677231,0.00019336696,0.0003674895,0.00053439784,0.000242868,0.0017237518,0.000007960829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009916308,0.000060443886,0.008202763,0.00012912197,0.00003069918,0.000013438314,0.0003401569,0.0002728822,0.98773223,0.0004577906,0.00028833398,0.0023729731],"study_design_scores_gemma":[0.00078142463,0.0005655726,0.0028504052,0.003271821,0.000024287812,0.00022345991,0.0002610688,0.010212774,0.967863,0.011785287,0.0018568668,0.00030398698],"about_ca_topic_score_codex":0.00007020912,"about_ca_topic_score_gemma":0.0000031696038,"teacher_disagreement_score":0.047720894,"about_ca_system_score_codex":0.00031743036,"about_ca_system_score_gemma":0.00028729404,"threshold_uncertainty_score":0.99896115},"labels":[],"label_agreement":null},{"id":"W2607099065","doi":"10.1039/c7ra00827a","title":"Evaluation of serum phosphopeptides as potential biomarkers of gastric cancer","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre","funders":"Tianjin Medical University; National Key Research and Development Program of China; Wuhan University; National Natural Science Foundation of China","keywords":"Phosphopeptide; Biomarker; Cancer; Cancer research; Chemistry; Medicine; Internal medicine; Biochemistry; Peptide","score_opus":0.022444803568336627,"score_gpt":0.3461212912670629,"score_spread":0.3236764876987263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607099065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706225,0.004949649,0.0044716927,0.00017011033,0.000073768104,0.0002796086,0.00021442947,0.00005116012,0.01916713],"genre_scores_gemma":[0.9839327,0.0017521059,0.013900459,0.000005391838,0.000047745056,0.0001389797,0.0000062052254,0.000013237907,0.00020322586],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906474,0.0000094396655,0.00023744645,0.00019443431,0.00036365716,0.00013026473],"domain_scores_gemma":[0.998548,0.000017510492,0.00057552574,0.0004994913,0.00032542855,0.00003407617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023391443,0.00010109134,0.00015934922,0.000028147477,0.0001493977,0.000012958437,0.00032894133,0.00005533183,0.0006999338],"category_scores_gemma":[0.000118489836,0.000097204334,0.00006804309,0.00005296349,0.00016846765,0.0002406872,0.00007128178,0.00006248555,0.0000027368596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042184533,0.00006606963,0.006504713,0.00010511184,0.0000734242,4.763498e-7,0.000029464109,0.0011972573,0.46360898,0.0007067373,0.000046150777,0.5276194],"study_design_scores_gemma":[0.0003825259,0.000018755685,0.001720534,0.000101844234,0.00010790607,0.000002076012,0.00008231484,0.0011489902,0.9751165,0.019418716,0.0017868076,0.00011301607],"about_ca_topic_score_codex":0.00017285698,"about_ca_topic_score_gemma":0.000029253903,"teacher_disagreement_score":0.5275064,"about_ca_system_score_codex":0.000052976986,"about_ca_system_score_gemma":0.00009951391,"threshold_uncertainty_score":0.76637846},"labels":[],"label_agreement":null},{"id":"W2609592944","doi":"10.1101/120873","title":"Multi-omics biomarker pipeline reveals elevated levels of protein-glutamine gamma-glutamyltransferase 4 in seminal plasma of prostate cancer patients","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Rockyview General Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"Prostate Cancer Canada","keywords":"Prostate cancer; Biomarker; PCA3; Prostate; Prostate biopsy; Biomarker discovery; Biopsy","score_opus":0.02121202279532211,"score_gpt":0.2683507881987352,"score_spread":0.2471387654034131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609592944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844501,0.00031710853,0.0031529318,0.00006284257,0.00008322335,0.0020084165,0.0097526945,0.0001658533,0.000006802918],"genre_scores_gemma":[0.9530931,0.0004797285,0.044518344,0.000010792158,0.000061003662,0.0016180715,0.0000075674416,0.0001705902,0.0000407842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99646235,0.000049958733,0.0014853997,0.0010339548,0.0003922395,0.0005760795],"domain_scores_gemma":[0.9952979,0.00004909895,0.0016828115,0.0017744054,0.0010031215,0.00019265526],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043247646,0.00069162203,0.0010516528,0.00026561678,0.00010689923,0.000050433053,0.00095830415,0.0007411116,0.00007571518],"category_scores_gemma":[0.00028395938,0.0007619829,0.00019112878,0.00030661048,0.00028531835,0.00014952268,0.00041693202,0.00085771905,0.0000030459596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019526262,0.0006147703,0.028205847,0.0023266096,0.00008348335,0.000009763253,0.000018241142,0.00007525903,0.96837056,0.000046827434,0.00001398073,0.000039413873],"study_design_scores_gemma":[0.0016952977,0.000024993382,0.024173362,0.0027287933,0.00007889845,1.1391766e-8,0.0000017923606,0.001966365,0.9683657,0.000011333461,0.00024807785,0.0007053562],"about_ca_topic_score_codex":0.00021861766,"about_ca_topic_score_gemma":0.000012855404,"teacher_disagreement_score":0.041365415,"about_ca_system_score_codex":0.00033827167,"about_ca_system_score_gemma":0.00053496775,"threshold_uncertainty_score":0.9994831},"labels":[],"label_agreement":null},{"id":"W2609759393","doi":"10.2174/1573411011666150716163727","title":"Capillary Electrophoretic Peptide Mapping to Probe the Immobilization/ Digestion Conditions of Glutaraldehyde-crosslinked Chymotrypsin","year":2015,"lang":"en","type":"article","venue":"Current Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Glutaraldehyde; Chromatography; Chymotrypsin; Immobilized enzyme; Capillary electrophoresis; Peptide; Electrophoresis; Substrate (aquarium); Aqueous solution; Enzyme; Trypsin; Biochemistry; Organic chemistry","score_opus":0.0372118345734011,"score_gpt":0.31292060696159174,"score_spread":0.27570877238819064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609759393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94312155,0.00054210424,0.049390107,0.0011089692,0.00003827074,0.00041844381,0.00008221696,0.00020907237,0.005089257],"genre_scores_gemma":[0.99657357,0.00006210814,0.0018851504,0.000034497178,0.00019242108,0.00023528688,0.0003299949,0.000028382248,0.00065856596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99856573,0.000010674623,0.00046119298,0.0003637574,0.00028503395,0.0003136144],"domain_scores_gemma":[0.9986976,0.00006538704,0.00016587002,0.0005545291,0.00027218746,0.00024444252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013239442,0.00020894805,0.00023507053,0.000028368187,0.00013596233,0.000029552883,0.00037327255,0.00012185734,0.00021254872],"category_scores_gemma":[0.00027565728,0.0001760113,0.00012047487,0.00038735737,0.00024039616,0.000057179444,0.00012420124,0.0003693655,0.000022406108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006979953,0.00038217605,0.0038676856,0.00043597515,0.000057653357,0.0000020921416,0.00029394522,0.00092359364,0.98175985,0.006754011,0.004632022,0.00082118943],"study_design_scores_gemma":[0.00053719175,0.000029378596,0.00030784198,0.00030170148,0.00011419607,0.000028959203,0.00029940688,0.010161441,0.9382835,0.019449143,0.02995206,0.00053518347],"about_ca_topic_score_codex":0.0000071987943,"about_ca_topic_score_gemma":6.4256653e-7,"teacher_disagreement_score":0.053452034,"about_ca_system_score_codex":0.00018867827,"about_ca_system_score_gemma":0.00014767337,"threshold_uncertainty_score":0.71775323},"labels":[],"label_agreement":null},{"id":"W2615615043","doi":"10.1021/acs.jproteome.7b00094","title":"Multiplexed MRM-Based Protein Quantitation Using Two Different Stable Isotope-Labeled Peptide Isotopologues for Calibration","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University; University of Victoria","funders":"Genome British Columbia; Leading Edge Endowment Fund; Genome Canada","keywords":"Isotopologue; Peptide; Calibration curve; Calibration; Chromatography; Chemistry; Mass spectrometry; Quantitative proteomics; Isotope dilution; Isotope; Computational biology; Biological system; Proteomics; Detection limit; Biology; Biochemistry; Mathematics; Physics; Molecule","score_opus":0.1741212022540128,"score_gpt":0.46001025305680965,"score_spread":0.2858890508027968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615615043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80092686,0.000058096855,0.19587241,0.0010557359,0.000024145284,0.0018732251,0.000042620817,0.000030805375,0.000116089876],"genre_scores_gemma":[0.74538946,0.000014838447,0.25300312,0.0000071693103,0.00025824746,0.0007281932,0.000015533418,0.000038854527,0.0005445858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997948,0.000090476635,0.00062602514,0.00026633844,0.0006060386,0.0004631257],"domain_scores_gemma":[0.9970497,0.00019253806,0.00089867227,0.0006057847,0.0011066173,0.00014671637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013822932,0.00017618222,0.00033318865,0.00021894413,0.0011295795,0.00034294426,0.00069519423,0.00014248598,0.00008766527],"category_scores_gemma":[0.0010981348,0.00014784928,0.00015521685,0.00009828414,0.00021037186,0.0005465374,0.00011720385,0.0006463589,0.0000023059172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042017933,0.00018696437,0.00086354004,0.00024575446,0.000025472069,0.0000039163806,0.000045401284,0.00024353822,0.9956958,0.0015474289,0.000074301606,0.0006476759],"study_design_scores_gemma":[0.0018037562,0.00022518344,0.0000639915,0.00033887912,0.000013898432,0.0000059778736,0.000096867596,0.043570183,0.9413981,0.011417577,0.0009038879,0.00016170285],"about_ca_topic_score_codex":0.0001659171,"about_ca_topic_score_gemma":0.000038514067,"teacher_disagreement_score":0.0571307,"about_ca_system_score_codex":0.00030454225,"about_ca_system_score_gemma":0.00030867034,"threshold_uncertainty_score":0.86879265},"labels":[],"label_agreement":null},{"id":"W2617883666","doi":"10.1039/c6an02537d","title":"Characterization and application studies of ProxyPhos, a chemosensor for the detection of proximally phosphorylated peptides and proteins in aqueous solutions","year":2017,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Celiac Association; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Peptide; Chemistry; Aqueous solution; Phosphorylation; Characterization (materials science); Chromatography; Protein detection; Combinatorial chemistry; Biochemistry; Nanotechnology; Materials science; Organic chemistry","score_opus":0.02442136957940931,"score_gpt":0.2940821442329058,"score_spread":0.26966077465349647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617883666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9323138,0.0006100316,0.06527583,0.00063509215,0.0000025314332,0.001083974,0.000031752497,0.000018147111,0.000028818522],"genre_scores_gemma":[0.99619,0.0007324724,0.0018109424,0.000004878697,0.000015504176,0.0011447008,0.000009508412,0.000008133526,0.0000838379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995329,0.00000615185,0.00020255086,0.00012989448,0.000050251336,0.00007824886],"domain_scores_gemma":[0.99906313,0.00005753711,0.00038662716,0.00036103753,0.00012195939,0.000009701388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019455874,0.000070196926,0.00013699995,0.000020289663,0.00036316254,0.000016119324,0.00013128384,0.000040608727,5.5002977e-7],"category_scores_gemma":[0.00008674888,0.000045405708,0.000025928355,0.00005875421,0.00024758276,0.000060724327,0.00006413532,0.00006358935,8.585849e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039148494,0.000023750656,0.00042211998,0.00010071367,0.000036186895,2.2573152e-8,0.0002519861,0.0000048086245,0.9752287,0.0008996065,4.6801287e-7,0.022992464],"study_design_scores_gemma":[0.00020206363,0.000023541894,0.004033494,0.000050346076,0.00007184989,0.0000020910184,0.00024023367,0.0076632504,0.9838561,0.0034904415,0.00030694628,0.000059681002],"about_ca_topic_score_codex":0.000119048535,"about_ca_topic_score_gemma":0.00015592058,"teacher_disagreement_score":0.063876204,"about_ca_system_score_codex":0.000017905331,"about_ca_system_score_gemma":0.00001120623,"threshold_uncertainty_score":0.27931893},"labels":[],"label_agreement":null},{"id":"W2618922802","doi":"10.1021/acs.jproteome.7b00205","title":"CLMSVault: A Software Suite for Protein Cross-Linking Mass-Spectrometry Data Analysis and Visualization","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Cancer Society Research Institute; Genome Canada; Canadian Institutes of Health Research; National Institutes of Health; Canada Research Chairs; Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie","keywords":"Computer science; Visualization; Software suite; Software; Data mining; Workflow; Leverage (statistics); Suite; Mass spectrometry; Bottleneck; Tandem mass spectrometry; Computational science; Chemistry; Database; Programming language; Artificial intelligence; Embedded system","score_opus":0.12543421304582053,"score_gpt":0.49118946662675683,"score_spread":0.3657552535809363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618922802","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25187707,0.00021494066,0.74638426,0.00040514878,0.00000915845,0.0007774196,0.0001630628,0.000029476423,0.00013943698],"genre_scores_gemma":[0.46656916,0.00019655246,0.53161836,0.0000049138466,0.00036034596,0.00024849625,0.00006777015,0.00003899889,0.0008954074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979423,0.00004101129,0.0005434085,0.00039623262,0.0006744799,0.00040252064],"domain_scores_gemma":[0.99648917,0.00014819033,0.00079026393,0.0013692831,0.0010437305,0.00015935382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032492871,0.0001374545,0.0003426966,0.00048628563,0.001083879,0.0007546413,0.0015439749,0.00017004942,0.000076669945],"category_scores_gemma":[0.0023342026,0.0001217743,0.00012430502,0.00041967633,0.0002497978,0.000752651,0.00055207696,0.00066711847,0.000001619935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021548143,0.000090886766,0.028438393,0.000497825,0.00028565543,0.000012564801,0.000050184837,0.000013630339,0.9638613,0.0015617254,0.000061882645,0.0049105133],"study_design_scores_gemma":[0.0014760506,0.0002743467,0.0033828246,0.00046873707,0.00019297595,0.000039447223,0.00007770253,0.0058579156,0.90761304,0.07498314,0.005257424,0.00037637266],"about_ca_topic_score_codex":0.0000225213,"about_ca_topic_score_gemma":0.000009407714,"teacher_disagreement_score":0.21476592,"about_ca_system_score_codex":0.00013273112,"about_ca_system_score_gemma":0.00016464041,"threshold_uncertainty_score":0.8336431},"labels":[],"label_agreement":null},{"id":"W2619393833","doi":"10.1371/journal.pone.0177569","title":"PGCA: An algorithm to link protein groups created from MS/MS data","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Prevention of Organ Failure; University of British Columbia","funders":"Genome British Columbia; University of Victoria; Jain Foundation","keywords":"Computer science; Identifier; Proteomics; Shotgun proteomics; Algorithm; Tandem mass spectrometry; Set (abstract data type); Workflow; Computational biology; Data mining; Bioinformatics; Mass spectrometry; Biology; Chemistry; Database; Chromatography; Genetics","score_opus":0.08252930448259865,"score_gpt":0.30523211341647827,"score_spread":0.22270280893387961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619393833","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9367951,0.000071244256,0.050826944,0.002312015,0.000008360814,0.0009957132,0.0022211245,0.0006461029,0.006123373],"genre_scores_gemma":[0.2593268,0.000036247835,0.73571825,0.00009335983,0.00073820533,0.0006173309,0.0014766593,0.00006025582,0.0019329231],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883974,0.000006645826,0.0001958101,0.00055011024,0.0001877774,0.0002199305],"domain_scores_gemma":[0.9961618,0.000011880477,0.00015222785,0.0034317255,0.00007403913,0.0001683353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007217229,0.00015416638,0.00020872828,0.00001747683,0.00033565893,0.00013512936,0.0015044156,0.00013929303,0.00031699231],"category_scores_gemma":[0.0001023752,0.00016139552,0.000021161579,0.00003593561,0.00005058987,0.00030393002,0.0006353676,0.00024829357,0.0001144854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016395767,0.0005812856,0.00023670013,0.000027759632,0.000064729604,0.0000049586433,0.000037901806,3.178148e-7,0.98153776,0.00022400614,0.00009950332,0.017168686],"study_design_scores_gemma":[0.00024334402,0.00003166764,0.00019773208,0.00020000356,0.00005124637,4.347175e-7,0.00000834713,0.003326642,0.9858556,0.00751128,0.002316823,0.00025691165],"about_ca_topic_score_codex":0.00073773507,"about_ca_topic_score_gemma":0.00005348982,"teacher_disagreement_score":0.6848913,"about_ca_system_score_codex":0.000036837155,"about_ca_system_score_gemma":0.000021929221,"threshold_uncertainty_score":0.65815187},"labels":[],"label_agreement":null},{"id":"W2619565830","doi":"10.1002/jms.3932","title":"Current trends in quantitative proteomics – an update","year":2017,"lang":"en","type":"review","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Fondation De Famille Alvin Segal; Genome British Columbia; Genome Canada; Segal Family Foundation; Leading Edge Endowment Fund; McGill University","keywords":"Chemistry; Current (fluid); Proteomics; Chromatography; Computational biology; Biochemistry; Oceanography","score_opus":0.09637483988085828,"score_gpt":0.44146506148130094,"score_spread":0.34509022160044267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619565830","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006922166,0.98842627,0.009291229,0.000041502677,0.00010913395,0.00018319109,0.00011370695,0.00002768971,0.0017380781],"genre_scores_gemma":[0.000018563043,0.83679235,0.16249557,0.000002490051,0.00037077256,0.000057430996,0.000056517158,0.00006495675,0.00014137811],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976695,0.00005301234,0.0012865514,0.00034407547,0.00030930885,0.0003375468],"domain_scores_gemma":[0.9955463,0.00006203879,0.0033285036,0.000785272,0.00011402732,0.00016388488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051943655,0.00042809782,0.0018286655,0.001039024,0.00009432882,0.00011035981,0.0012419105,0.00031966687,0.00034577053],"category_scores_gemma":[0.000094714494,0.00035449746,0.0006572754,0.0004206455,0.00007287043,0.00031843514,0.00009288352,0.00206134,0.0000126142295],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022777434,0.0002328161,0.0000128239435,0.0024354416,0.00009728765,0.00005247576,0.000017253298,0.0000015302148,0.00032548158,0.0030833373,0.0001657289,0.99355304],"study_design_scores_gemma":[0.00028102577,0.00012398591,0.0000031465308,0.0067704213,0.00026125877,0.00017781237,0.000015928097,0.000010798224,0.00050177006,0.007946561,0.9834642,0.0004431071],"about_ca_topic_score_codex":0.0000022514885,"about_ca_topic_score_gemma":0.0000038173184,"teacher_disagreement_score":0.99310994,"about_ca_system_score_codex":0.0005465489,"about_ca_system_score_gemma":0.00022795856,"threshold_uncertainty_score":0.9998907},"labels":[],"label_agreement":null},{"id":"W2619745783","doi":"10.1080/14789450.2017.1335200","title":"Recent advances in applying mass spectrometry and systems biology to determine brain dynamics","year":2017,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Deutsches Zentrum für Neurodegenerative Erkrankungen; Deutsche Forschungsgemeinschaft; Horizon 2020 Framework Programme; Helsingin Yliopisto","keywords":"Proteomics; Proteome; Neuroscience; Computational biology; Mass cytometry; Brain function; Systems biology; Computer science; Biology; Bioinformatics; Data science; Biochemical engineering","score_opus":0.05038323367087695,"score_gpt":0.4097694893978564,"score_spread":0.35938625572697946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619745783","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.0589316e-7,0.95642436,0.03732175,0.00017296264,0.00007907579,0.0045256508,0.00021686633,0.000055949047,0.0012024913],"genre_scores_gemma":[1.9558725e-7,0.813266,0.17825371,0.000075273216,0.00016433334,0.007860484,0.00019505493,0.00007712644,0.00010785893],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970581,0.00008127643,0.0014989689,0.0008010883,0.0001463982,0.00041416858],"domain_scores_gemma":[0.99675584,0.00017625095,0.0014986468,0.0013380733,0.00009047662,0.00014074356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006107444,0.0005943008,0.0029616822,0.00020712054,0.000096598334,0.000040574632,0.0009256474,0.00041889487,0.00003456112],"category_scores_gemma":[0.00055194006,0.00051123014,0.00026039052,0.00027971165,0.00011786199,0.00011677882,0.0003252973,0.00057306065,0.000006442089],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035640892,0.000022646434,0.0000026687478,0.102297045,0.000018456829,0.000002921388,0.000005755708,2.5133613e-7,0.00055347255,0.0010812371,0.000051922227,0.89596003],"study_design_scores_gemma":[0.00008030624,0.000033619912,1.9075951e-8,0.12864307,0.000044177566,0.000039905426,0.000007599592,0.00004356919,0.0001881621,0.00035107014,0.8701286,0.00043992006],"about_ca_topic_score_codex":0.000013588931,"about_ca_topic_score_gemma":0.00000883893,"teacher_disagreement_score":0.89552015,"about_ca_system_score_codex":0.0004763089,"about_ca_system_score_gemma":0.00014848396,"threshold_uncertainty_score":0.9997339},"labels":[],"label_agreement":null},{"id":"W2620890793","doi":"10.1016/j.ebiom.2017.06.001","title":"Combined Mass Spectrometry Imaging and Top-down Microproteomics Reveals Evidence of a Hidden Proteome in Ovarian Cancer","year":2017,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Direction Générale de l’offre de Soins; Institut National Du Cancer; Ministère de l'Enseignement Supérieur et de la Recherche; Institut Universitaire de France; Canada Research Chairs; Institut National de la Santé et de la Recherche Médicale","keywords":"Proteome; ORFS; Proteomics; Serous fluid; Western blot; Computational biology; Biology; Ovarian cancer; Mass spectrometry; Ovarian tumor; Molecular biology; Open reading frame; Cancer; Chemistry; Bioinformatics; Peptide sequence; Biochemistry; Genetics; Gene","score_opus":0.0160933048271207,"score_gpt":0.31771126674412353,"score_spread":0.30161796191700285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620890793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97500306,0.001386257,0.00951313,0.011782787,0.00004774966,0.00078064797,0.00004859177,0.0000601354,0.0013776447],"genre_scores_gemma":[0.92260903,0.00065794826,0.0756178,0.00008403147,0.00014924856,0.00028743528,0.0000065367904,0.000023465822,0.00056449237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988137,0.000008565169,0.00039760504,0.0003591844,0.0001569573,0.00026400655],"domain_scores_gemma":[0.9985868,0.00004851221,0.000412039,0.0007951822,0.0000683131,0.00008916313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028758764,0.00017177702,0.00035777982,0.0001281811,0.00013712794,0.00003332572,0.0004403736,0.000082478415,0.00020373729],"category_scores_gemma":[0.000178708,0.00015899642,0.000034563436,0.00014207499,0.0003182455,0.00016812641,0.00016516821,0.00026484544,0.0000013622843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006992667,0.000027249103,0.049397055,0.0002370432,0.000010332386,0.000011299318,0.000077214834,1.9491465e-7,0.9473583,0.00032231104,0.00008633281,0.0024027259],"study_design_scores_gemma":[0.0013793104,0.000057231224,0.01797513,0.0019449755,0.000028139566,0.000015222224,0.000078447185,0.00015103801,0.9573744,0.020479541,0.0002642958,0.00025226094],"about_ca_topic_score_codex":0.0006190705,"about_ca_topic_score_gemma":0.000010542371,"teacher_disagreement_score":0.066104665,"about_ca_system_score_codex":0.000111944566,"about_ca_system_score_gemma":0.00005058015,"threshold_uncertainty_score":0.6483686},"labels":[],"label_agreement":null},{"id":"W2624214787","doi":"10.3390/proteomes5020013","title":"A Routine ‘Top-Down’ Approach to Analysis of the Human Serum Proteome","year":2017,"lang":"en","type":"article","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Cerebral Palsy Alliance; Western Sydney University","keywords":"Proteome; Fractionation; Chromatography; Chemistry; Resolution (logic); Sample preparation; Sodium dodecyl sulfate; Mass spectrometry; Biochemistry; Computer science","score_opus":0.021725062019193286,"score_gpt":0.3078425470587748,"score_spread":0.2861174850395815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624214787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9477675,0.00001626082,0.01233233,0.0009805517,0.000009452809,0.0013748347,0.00013131602,0.00012405448,0.037263684],"genre_scores_gemma":[0.96416104,0.000002706323,0.030679619,0.000044989953,0.00005923241,0.0018708786,0.000012121648,0.00002385044,0.003145588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988126,0.000011641279,0.0003136057,0.00038092452,0.00022584815,0.00025537956],"domain_scores_gemma":[0.99739826,0.000010073328,0.00041946516,0.00199855,0.000094582305,0.00007906644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017716072,0.00017664162,0.00033590497,0.00008714379,0.00065952097,0.00007918939,0.0012649292,0.00009958686,0.00018985751],"category_scores_gemma":[0.000096748954,0.00012789751,0.0002379069,0.00030080182,0.00014128746,0.0000863055,0.0004884688,0.0002143032,0.000008090171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020367734,0.00038711814,0.117276184,0.00027192303,0.0006837062,6.4734405e-7,0.00056747405,0.000597742,0.8567911,0.020320563,0.00018417218,0.0028990167],"study_design_scores_gemma":[0.00021067473,0.000013287676,0.030147301,0.00004122543,0.00024707947,0.0000010996946,0.000045785768,0.0004970571,0.96166664,0.0046768114,0.0022080205,0.00024499168],"about_ca_topic_score_codex":0.00012454246,"about_ca_topic_score_gemma":0.000008853458,"teacher_disagreement_score":0.10487558,"about_ca_system_score_codex":0.00004578611,"about_ca_system_score_gemma":0.000025524869,"threshold_uncertainty_score":0.5215509},"labels":[],"label_agreement":null},{"id":"W271067320","doi":"10.1016/j.ymeth.2015.05.006","title":"Formaldehyde cross-linking and structural proteomics: Bridging the gap","year":2015,"lang":"en","type":"review","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Bridging (networking); Proteomics; Formaldehyde; Biomolecule; Mass spectrometry; Nanotechnology; Chemistry; Structural biology; Computational biology; Biophysics; Biochemical engineering; Computer science; Materials science; Biology; Biochemistry; Chromatography; Engineering","score_opus":0.12184690453893651,"score_gpt":0.49631770052968316,"score_spread":0.3744707959907466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W271067320","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018536892,0.7955881,0.20122755,0.000018086212,0.000040882936,0.00065641827,0.000049899543,0.00015450627,0.0022460641],"genre_scores_gemma":[7.460425e-7,0.52364796,0.4750031,0.000014469227,0.00027613112,0.00055248087,0.00004393328,0.00005056098,0.0004106086],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843717,0.00011707122,0.0005399925,0.00044322715,0.0001329699,0.00032958444],"domain_scores_gemma":[0.99837357,0.00022084921,0.0004944538,0.00074821315,0.000072106435,0.000090815316],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012151708,0.0003908747,0.00086771784,0.000041495325,0.00033398368,0.00019200436,0.0005732786,0.00034363446,0.00004042404],"category_scores_gemma":[0.00010751451,0.0002547645,0.00022650669,0.00014141468,0.0001682407,0.00010513677,0.0004123468,0.0009021918,0.000003917847],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014902629,0.0000017662692,0.000004020053,0.003535565,0.000027106544,7.802313e-7,0.000037976148,0.0000017242735,0.00008923789,0.0010357965,0.000022613931,0.99524194],"study_design_scores_gemma":[0.00006887376,0.000004219313,1.7908037e-7,0.0016305243,0.00016209047,0.00012675498,0.000007727642,0.0003777995,0.0016660116,0.017146397,0.9784789,0.00033051375],"about_ca_topic_score_codex":0.000010490453,"about_ca_topic_score_gemma":5.701e-7,"teacher_disagreement_score":0.99491143,"about_ca_system_score_codex":0.00013308274,"about_ca_system_score_gemma":0.00012220372,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W2729756301","doi":"","title":"Machine learning approaches to refining post-translational modification predictions and protein identifications from tandem mass spectrometry","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Tandem mass spectrometry; Computational biology; Inference; Proteomics; Posttranslational modification; Cluster analysis; Mass spectrometry; Artificial intelligence; Machine learning; Chemistry; Algorithm; Biology; Chromatography; Biochemistry","score_opus":0.04866583711217843,"score_gpt":0.2796053007192827,"score_spread":0.23093946360710427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729756301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22564776,0.0020817774,0.6610425,0.0014836653,0.0001256586,0.0016033445,0.0019300716,0.0015317934,0.10455343],"genre_scores_gemma":[0.6950323,0.0000798047,0.23384163,0.000015664857,0.0002949866,0.002291808,0.028698893,0.00011536554,0.03962957],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979828,0.000025747735,0.00058599346,0.0007527652,0.00033346168,0.00031923276],"domain_scores_gemma":[0.9986889,0.000088057575,0.00037264507,0.00050577417,0.00014035194,0.000204299],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001626778,0.00038255946,0.00031003356,0.00025136388,0.000561365,0.00013127444,0.000274317,0.00046076873,0.0009924617],"category_scores_gemma":[0.00007896005,0.00042140295,0.00010449454,0.00032416085,0.00003636434,0.0002538872,0.000031306747,0.0008305816,0.00004900752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059153444,0.00015041007,0.002804859,0.00014316973,0.00013149915,3.2540808e-7,0.00080836733,0.00034260924,0.95108134,0.039027944,0.000038980226,0.005411327],"study_design_scores_gemma":[0.0015871676,0.0001510058,0.046866,0.0012084029,0.0012650179,0.000021597665,0.0064752293,0.027247077,0.7909305,0.0730481,0.046537004,0.004662889],"about_ca_topic_score_codex":0.00030652393,"about_ca_topic_score_gemma":0.00023531642,"teacher_disagreement_score":0.46938452,"about_ca_system_score_codex":0.00011439372,"about_ca_system_score_gemma":0.000075046715,"threshold_uncertainty_score":0.9999208},"labels":[],"label_agreement":null},{"id":"W2731009140","doi":"10.1074/mcp.m116.066274","title":"Spatiotemporal Proteomic Profiling of Human Cerebral Development","year":2017,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Princess Margaret Cancer Centre; Hospital for Sick Children; University Health Network","funders":"","keywords":"Profiling (computer programming); Computational biology; Human brain; Computer science; Neuroscience; Biology","score_opus":0.01803492200764802,"score_gpt":0.27801436188791984,"score_spread":0.25997943988027183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731009140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87354726,0.000056151606,0.121168435,0.000084508836,0.000020976688,0.001013803,0.000018477445,0.00013037324,0.0039600222],"genre_scores_gemma":[0.65659064,0.0000030854062,0.34244418,0.000011897939,0.00004563227,0.0005105945,0.00008821942,0.000060781716,0.00024497783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809974,0.000017972005,0.00063527253,0.0005434598,0.0002993666,0.00040416277],"domain_scores_gemma":[0.997338,0.0000052771293,0.00083331135,0.0015610228,0.00014119245,0.00012118832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024898894,0.00032352327,0.00036384826,0.00006598175,0.00071270025,0.000113446964,0.000998757,0.00024620834,0.00007683147],"category_scores_gemma":[0.000056311375,0.0003547403,0.00016114736,0.00005053256,0.00021959982,0.00015721368,0.00041357047,0.0003853328,0.000015537493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018592478,0.00009704512,0.0053902534,0.00019244972,0.000041374158,0.000013729262,0.00006456295,0.000023929424,0.98635864,0.0067076483,0.000004449052,0.0010873217],"study_design_scores_gemma":[0.00050111767,0.00002771082,0.00012980054,0.00010144598,0.000024016483,0.0000031419377,0.000014375339,0.00030807836,0.99209195,0.0060781245,0.00032470486,0.00039550322],"about_ca_topic_score_codex":0.0000663234,"about_ca_topic_score_gemma":0.0000042147585,"teacher_disagreement_score":0.22127573,"about_ca_system_score_codex":0.00012351459,"about_ca_system_score_gemma":0.00016719819,"threshold_uncertainty_score":0.99989045},"labels":[],"label_agreement":null},{"id":"W2732144023","doi":"10.1186/s13073-017-0454-9","title":"Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines","year":2017,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Prostate Cancer Canada; Canadian Institutes of Health Research; Government of Ontario; National Cancer Institute; Ontario Institute for Cancer Research; Movember Foundation","keywords":"Mass spectrometry; Human genetics; Proteomics; Computational biology; Cancer cell lines; Cancer; Medicine; Bioinformatics; Biology; Chemistry; Genetics; Chromatography; Internal medicine; Cancer cell; Gene","score_opus":0.03076311847363516,"score_gpt":0.330034622204843,"score_spread":0.2992715037312078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732144023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845495,0.0011245484,0.0072187968,0.00074979087,0.00003193475,0.0008276274,0.00003591232,0.000091047754,0.005370832],"genre_scores_gemma":[0.99053484,0.00016080143,0.006990501,0.0000447153,0.00029448912,0.00069924555,0.00001179849,0.000032013853,0.0012315755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988622,0.000011370926,0.00029734478,0.000378586,0.0001689966,0.0002814797],"domain_scores_gemma":[0.9988163,0.00002667452,0.00028476017,0.00073219865,0.00006250397,0.00007757358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107212065,0.00018198344,0.00030868768,0.00004346222,0.0002683181,0.00002347819,0.000465135,0.00006839223,0.0005646044],"category_scores_gemma":[0.000055556782,0.00016039606,0.00002259939,0.00009306081,0.000086824606,0.00007444666,0.00011661915,0.00027410575,0.000005485695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018228,0.000096519754,0.0028633848,0.000050832135,0.000013405362,0.000013030348,0.00023489722,0.0000044194685,0.99556696,0.000016310252,0.00003428416,0.0010877382],"study_design_scores_gemma":[0.0058440347,0.0005033575,0.014028627,0.0004126446,0.000090215726,0.0000102084,0.0048305104,0.00042553936,0.9593865,0.0044082804,0.009184948,0.0008750987],"about_ca_topic_score_codex":0.0023517022,"about_ca_topic_score_gemma":0.00021406995,"teacher_disagreement_score":0.036180414,"about_ca_system_score_codex":0.00016501563,"about_ca_system_score_gemma":0.000024340161,"threshold_uncertainty_score":0.65407616},"labels":[],"label_agreement":null},{"id":"W2732880523","doi":"10.1002/prca.201700056","title":"Multi‐pronged proteomic analysis to study the glioma pathobiology using cerebrospinal fluid samples","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Council of Scientific and Industrial Research, India; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Glioma; Cerebrospinal fluid; Proteome; Proteomics; Haptoglobin; Biology; Pathology; Clusterin; Vitronectin; Cancer research; Extracellular matrix; Medicine; Immunology; Bioinformatics; Biochemistry; Gene; Fibronectin","score_opus":0.12904191417005323,"score_gpt":0.44137659091038656,"score_spread":0.31233467674033333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732880523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5799199,0.000015866179,0.4146037,0.0008194767,0.000019867945,0.004170709,0.00018155067,0.00016064309,0.00010831816],"genre_scores_gemma":[0.6036793,0.00001962235,0.3834208,0.000113486174,0.00026531547,0.012333721,0.000044144945,0.000045807923,0.00007784267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965153,0.00010614637,0.0013277245,0.0012729141,0.00022871664,0.00054924295],"domain_scores_gemma":[0.994199,0.00023256088,0.000985546,0.003999117,0.00029064735,0.0002931527],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001167247,0.00040285848,0.0006943394,0.00011917026,0.0027148675,0.00029383274,0.002521549,0.00031549192,0.00013763497],"category_scores_gemma":[0.0005160515,0.00032480792,0.0004636491,0.0004879843,0.00051964395,0.0001327809,0.0009771455,0.0007463685,0.00008905595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020554563,0.0028028756,0.18593735,0.000031136664,0.0013719783,0.0000038105716,0.00020464107,0.00042753093,0.79078645,0.0035911968,0.000038807855,0.014598673],"study_design_scores_gemma":[0.0070446385,0.00087894633,0.36251193,0.00007866851,0.0068742926,0.00006906283,0.0010653246,0.045050744,0.5145539,0.04473397,0.012975341,0.004163201],"about_ca_topic_score_codex":0.00033051797,"about_ca_topic_score_gemma":0.00014762711,"teacher_disagreement_score":0.27623257,"about_ca_system_score_codex":0.00012403705,"about_ca_system_score_gemma":0.00012247481,"threshold_uncertainty_score":0.99992037},"labels":[],"label_agreement":null},{"id":"W2735378853","doi":"10.1021/acs.jproteome.7b00324","title":"Integrating Next-Generation Genomic Sequencing and Mass Spectrometry To Estimate Allele-Specific Protein Abundance in Human Brain","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; School of Medicine, Emory University; Weston Brain Institute; Alzheimer’s Research UK; National Institute of Neurological Disorders and Stroke; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research; U.S. Department of Veterans Affairs","keywords":"UniProt; Proteomics; In silico; Biology; Computational biology; Quantitative proteomics; Exome sequencing; Protein sequencing; Peptide mass fingerprinting; Genetics; Gene; Peptide sequence; Phenotype","score_opus":0.13784265236630147,"score_gpt":0.4257351275265887,"score_spread":0.28789247516028726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735378853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95529705,0.00021709352,0.04048791,0.0022307201,0.00000896637,0.0007188525,0.000004157337,0.00001695297,0.0010183203],"genre_scores_gemma":[0.6999106,0.000051098705,0.2991117,0.0000077425275,0.0003080355,0.00018231668,0.0000020329949,0.000028394747,0.00039806467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981253,0.00006811592,0.0005894413,0.00031579402,0.00046124673,0.00044009963],"domain_scores_gemma":[0.99849015,0.000057707224,0.00043987896,0.00052618777,0.00030875634,0.00017730145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024662646,0.00015517368,0.00028020662,0.00036932505,0.0007419859,0.0005682443,0.0007047503,0.000117243144,0.000070408976],"category_scores_gemma":[0.0005684427,0.00014523823,0.00005321257,0.00018617917,0.00014186034,0.00047142088,0.000215671,0.001279296,0.000005009175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034014232,0.000023420129,0.0005992026,0.00007125612,0.0000071033614,0.000035268346,0.0001617778,0.000058011945,0.99445915,0.0022601285,0.000072994575,0.0022176418],"study_design_scores_gemma":[0.0004467016,0.00018438048,0.0005830013,0.00046117618,0.0000017788374,0.000057897,0.00020057683,0.0017590802,0.97595954,0.018937932,0.0012134758,0.00019445039],"about_ca_topic_score_codex":0.000059751754,"about_ca_topic_score_gemma":0.000045503893,"teacher_disagreement_score":0.2586238,"about_ca_system_score_codex":0.00074464286,"about_ca_system_score_gemma":0.00015339743,"threshold_uncertainty_score":0.5922643},"labels":[],"label_agreement":null},{"id":"W2735555702","doi":"10.1002/9781119384434.ch3","title":"Characterizing the Termini of Recombinant Proteins","year":2017,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Edman degradation; Biochemistry; Protein sequencing; Chemistry; Computational biology; Acetylation; Tandem mass spectrometry; Mass spectrometry; Recombinant DNA; Amino acid; Proteomics; Biology; Peptide sequence; Chromatography; Gene","score_opus":0.01775767569959188,"score_gpt":0.2869163445815597,"score_spread":0.2691586688819678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735555702","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031017607,0.000068158704,0.0016939983,0.00023226188,0.000034739387,0.00033168748,0.000039871567,0.00017587566,0.9973924],"genre_scores_gemma":[0.0006602196,0.00035678112,0.015050165,0.000025531415,0.00013028874,0.00042407756,0.000027263792,0.00017738991,0.9831483],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953073,0.0000025389897,0.0001243434,0.00017035515,0.00006474796,0.00010727208],"domain_scores_gemma":[0.9984523,0.000008769073,0.00047668873,0.0010307591,0.000012356939,0.000019135092],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000038384518,0.00013299014,0.00018246468,0.000019851417,0.00006920636,0.000014821105,0.00052474294,0.00017395488,0.002306646],"category_scores_gemma":[0.000012268171,0.00008451299,0.000067329354,0.000012727941,0.00008390532,0.000014058408,0.00010624654,0.000169462,0.00001833364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000953273,0.00014624934,0.00006408562,0.0007508377,0.00009829517,0.000003861177,0.000057173416,1.945468e-8,0.3936803,0.013387771,0.5020404,0.0897615],"study_design_scores_gemma":[0.000042034648,0.0000037669058,0.0000017926604,0.00029760238,0.00000806807,0.0000021454957,0.0000039761976,0.000002065741,0.16673017,0.00071617565,0.8320949,0.00009732652],"about_ca_topic_score_codex":0.00013813649,"about_ca_topic_score_gemma":0.000016842558,"teacher_disagreement_score":0.33005452,"about_ca_system_score_codex":0.000011120455,"about_ca_system_score_gemma":0.000024205241,"threshold_uncertainty_score":0.9986054},"labels":[],"label_agreement":null},{"id":"W2736529643","doi":"10.3390/proteomes5030018","title":"Editorial for Special Issue: Approaches to Top-Down Proteomics: In Honour of Prof. Patrick H. O’Farrell","year":2017,"lang":"en","type":"editorial","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Honour; Library science; Classics; Political science; Computer science; History; Law","score_opus":0.029012770813223183,"score_gpt":0.29258524656313545,"score_spread":0.26357247574991227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736529643","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026317517,0.00015396402,0.0061863605,0.0005884012,0.9692358,0.0123078,0.0030530668,0.00022965168,0.0079818275],"genre_scores_gemma":[0.00004622232,0.00012522354,0.06892421,0.0000038964768,0.9052705,0.018927692,0.00050168484,0.00016604249,0.006034486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961388,0.000031233023,0.0010695619,0.001240423,0.0007796892,0.0007402821],"domain_scores_gemma":[0.99643415,0.00031476322,0.0012208642,0.0014453464,0.00039878773,0.00018610814],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007246448,0.0007154835,0.0012031824,0.0002596633,0.00027643604,0.00015192077,0.0017202372,0.0019716546,0.00025400758],"category_scores_gemma":[0.002148945,0.0007295797,0.00034891977,0.00016772885,0.00014673792,0.00017512604,0.00044299866,0.0015932701,0.00004570313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000377584,0.00021493738,0.000028756182,0.0015204967,0.000044948698,0.0000012187281,0.00024279063,0.000021767217,0.0029660144,0.00017901466,0.9886145,0.00578797],"study_design_scores_gemma":[0.001033782,0.00012749681,7.078206e-7,0.00039991253,0.000046397847,4.766399e-7,0.000042523236,0.000020695126,0.1179968,0.0074831853,0.87215805,0.00068996986],"about_ca_topic_score_codex":0.00013173214,"about_ca_topic_score_gemma":0.000026431026,"teacher_disagreement_score":0.11645644,"about_ca_system_score_codex":0.00035574965,"about_ca_system_score_gemma":0.0007894346,"threshold_uncertainty_score":0.99951553},"labels":[],"label_agreement":null},{"id":"W2736859409","doi":"10.1073/pnas.1705691114","title":"De novo peptide sequencing by deep learning","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":470,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Deep learning; Convolutional neural network; Deep sequencing; Computer science; Artificial intelligence; Computational biology; Artificial neural network; DNA sequencing; Deep neural networks; Genome; Biology; Biochemistry; Gene","score_opus":0.03678936650367517,"score_gpt":0.32972787032807227,"score_spread":0.2929385038243971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736859409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9270106,0.00005214524,0.00009439182,0.0016099686,0.0000020497284,0.000060479982,0.000008050358,0.000026570438,0.07113575],"genre_scores_gemma":[0.9787144,0.000035840636,0.020289974,0.000067275105,0.00004106715,0.000019603822,9.931942e-8,0.0000039417073,0.0008277638],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916315,8.2660154e-7,0.0001654457,0.00015687189,0.00039034488,0.00012335791],"domain_scores_gemma":[0.99927384,0.00004055877,0.0005288467,0.000011349702,0.000120648256,0.000024782436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005031504,0.00005962981,0.00007843651,0.000025349245,0.00066785567,0.000049412032,0.0010543995,0.00006480641,0.000023716802],"category_scores_gemma":[0.00055855943,0.00004553709,0.000043520053,0.00008283347,0.0005772178,0.00031871372,0.00016456336,0.00021137664,5.82857e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017746227,0.000006125481,0.007008863,0.000025934916,0.0000029009957,1.3508009e-9,0.000054687294,0.00007330871,0.96425724,0.027858378,0.00010787735,0.0006029043],"study_design_scores_gemma":[0.000048600625,0.0000044651883,0.00094444834,0.000055620567,0.0000036854826,0.0000058596593,0.00010807925,0.0015940244,0.91187304,0.084235564,0.0010723978,0.000054226413],"about_ca_topic_score_codex":0.000008502332,"about_ca_topic_score_gemma":2.807102e-8,"teacher_disagreement_score":0.070307985,"about_ca_system_score_codex":0.0000629542,"about_ca_system_score_gemma":0.000020679292,"threshold_uncertainty_score":0.51366735},"labels":[],"label_agreement":null},{"id":"W2737623315","doi":"10.1101/168377","title":"Computational proteogenomic identification and functional interpretation of translated fusions and micro structural variations in cancer","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"National Cancer Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Proteogenomics; Computational biology; Proteomics; Genome; Biology; Identification (biology); Transcriptome; Genomics; Breakpoint; Gene; Bioinformatics; Genetics; Chromosome","score_opus":0.013545311577270236,"score_gpt":0.2576800713027842,"score_spread":0.24413475972551396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737623315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9476919,0.0006854534,0.049721736,0.00024095153,0.00007783726,0.0005913864,0.0009048045,0.00008186542,0.0000040305617],"genre_scores_gemma":[0.9725034,0.00021128291,0.026532143,0.000011004246,0.00005771191,0.00063422654,0.000008174194,0.000037429338,0.0000045921324],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986609,0.000022348775,0.00049461273,0.00053618115,0.00013267656,0.00015325556],"domain_scores_gemma":[0.99860597,0.000044792007,0.00058627693,0.00042480338,0.00026907068,0.000069119356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014917967,0.00023525828,0.0002741569,0.00015294565,0.00020273981,0.00009878069,0.00017434733,0.00028495546,0.000041646246],"category_scores_gemma":[0.000047175596,0.0002765035,0.000046128465,0.0000923296,0.00015181537,0.00014406646,0.00013855673,0.00038760316,7.601954e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032771517,0.000033759115,0.007951433,0.0003192984,0.000048686183,6.655781e-7,0.00004319073,0.0019270068,0.9884574,0.0011439724,0.000004852327,0.00003695339],"study_design_scores_gemma":[0.00088950945,0.000013271544,0.37547535,0.0007523842,0.00014890658,9.6263086e-8,0.000004889624,0.08642991,0.53411525,0.0013795616,0.00010632644,0.00068453327],"about_ca_topic_score_codex":0.00014300445,"about_ca_topic_score_gemma":0.000012566888,"teacher_disagreement_score":0.45434216,"about_ca_system_score_codex":0.00013486728,"about_ca_system_score_gemma":0.00025075028,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W2738310092","doi":"10.1007/978-1-4939-7136-7_11","title":"Phosphoproteomics Analysis for Probing Plant Stress Tolerance","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Phosphoproteomics; Phosphorylation; Cell biology; Protein phosphorylation; Abiotic stress; Biology; Computational biology; Chemistry; Protein kinase A; Biochemistry","score_opus":0.029772155898706257,"score_gpt":0.4105673476249718,"score_spread":0.3807951917262656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738310092","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032900933,0.00012237925,0.9655042,0.00013257824,0.000024132029,0.00029221873,0.00015722151,0.00004325157,0.00082304154],"genre_scores_gemma":[0.039705127,0.00004137667,0.9590091,0.000056903693,0.000028188215,0.0009635226,0.000087977074,0.000018091507,0.00008973125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999027,0.000039687697,0.0002493719,0.0004009326,0.000028822747,0.00025416174],"domain_scores_gemma":[0.9987469,0.000085472966,0.00024348291,0.00085194735,0.000037392987,0.000034805766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038494891,0.00013611428,0.00031097108,0.000064651955,0.00018033075,0.000031685133,0.00053233514,0.00019453873,0.000023804052],"category_scores_gemma":[0.00021562292,0.0001352265,0.00014570662,0.00008222378,0.0001048378,0.000025463634,0.00013267362,0.0001745034,4.3915094e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027610951,0.000030211124,0.009362353,0.00003044893,0.0000781735,0.0000025475601,0.000025383488,0.0005332571,0.96343195,0.015350192,0.0000018794367,0.011125975],"study_design_scores_gemma":[0.00022653135,0.00001119747,0.00008170172,0.000015675521,0.000050381812,0.0000012733457,0.000009501022,0.006430871,0.95069283,0.040339176,0.001977923,0.00016296284],"about_ca_topic_score_codex":0.00006714714,"about_ca_topic_score_gemma":0.00002303301,"teacher_disagreement_score":0.024988983,"about_ca_system_score_codex":0.000040690316,"about_ca_system_score_gemma":0.000017978131,"threshold_uncertainty_score":0.5514377},"labels":[],"label_agreement":null},{"id":"W2739004065","doi":"10.1016/j.tibtech.2017.06.006","title":"Microfluidic-Mass Spectrometry Interfaces for Translational Proteomics","year":2017,"lang":"en","type":"review","venue":"Trends in biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University; University of Victoria; Genome British Columbia","funders":"Genome British Columbia; Leading Edge Endowment Fund; Genome Canada","keywords":"Interfacing; Proteomics; Workflow; Microfluidics; Computer science; Posttranslational modification; Microfluidic chip; Nanotechnology; Computational biology; Chemistry; Biology; Materials science; Database; Computer hardware","score_opus":0.08342164776075643,"score_gpt":0.40158114476065987,"score_spread":0.3181594969999034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739004065","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000068430713,0.959248,0.03656321,0.00052633975,0.000053282794,0.0005844438,0.0007476225,0.00036693996,0.0019032924],"genre_scores_gemma":[0.000010562391,0.8481446,0.14788157,0.0000046827768,0.00010677445,0.0019597264,0.0005385615,0.00008505392,0.0012684577],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979041,0.000011037829,0.0007519923,0.00078659796,0.000085010855,0.0004612515],"domain_scores_gemma":[0.99806315,0.000089509864,0.0006210335,0.0011607198,0.000025672483,0.000039887793],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001456203,0.00049935473,0.0013828547,0.00082882354,0.0001494977,0.000039060506,0.001346525,0.0020861488,0.00021127431],"category_scores_gemma":[0.00005036419,0.00048031405,0.0003972142,0.00033584939,0.00030533678,0.00005813812,0.00012143758,0.0011110735,0.0000149953985],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000091403435,0.00004990569,0.0000011627968,0.0021678887,0.000059843176,0.0000026083007,0.0000046688233,8.115391e-8,0.005324352,0.0077694035,0.00045874092,0.9841522],"study_design_scores_gemma":[0.0002356364,0.00002924219,8.454634e-8,0.0015786813,0.00010617894,0.00003136577,0.000003151493,0.0000069283874,0.04719934,0.009354364,0.94102305,0.00043195215],"about_ca_topic_score_codex":0.00000660146,"about_ca_topic_score_gemma":0.0000076945125,"teacher_disagreement_score":0.98372024,"about_ca_system_score_codex":0.00019992625,"about_ca_system_score_gemma":0.00009485627,"threshold_uncertainty_score":0.99976486},"labels":[],"label_agreement":null},{"id":"W2739857744","doi":"10.1016/j.jprot.2017.07.018","title":"An online 2D-reversed-phase – Reversed-phase chromatographic method for sensitive and robust plasma protein quantitation","year":2017,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia; Jewish General Hospital; McGill University","funders":"","keywords":"Chromatography; Fractionation; Chemistry; Reproducibility; Sample preparation; Resolution (logic); Analytical Chemistry (journal); Sample (material); Throughput; Computer science","score_opus":0.052538956828166616,"score_gpt":0.39211776094816225,"score_spread":0.33957880411999564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739857744","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5198899,0.000014303547,0.47870424,0.00039800763,0.000024407285,0.0006624525,0.00024337378,0.000027574368,0.000035765454],"genre_scores_gemma":[0.20222953,0.00007331917,0.7971276,0.000036728925,0.00026231684,0.00010791459,0.000046024692,0.000043574422,0.00007299865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985564,0.00003917272,0.0006446819,0.0003098072,0.00019636376,0.00025358144],"domain_scores_gemma":[0.99693406,0.000076719116,0.0017268289,0.0005609124,0.0004963273,0.00020518496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665543,0.00024578717,0.000427524,0.00013544441,0.0005443371,0.0001700822,0.00038089807,0.00022178485,0.000014828193],"category_scores_gemma":[0.0003448226,0.00023533295,0.00017859085,0.00006694001,0.0001485116,0.00067421916,0.000057627665,0.00044890193,7.0697166e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007664812,0.0005878891,0.000034551478,0.0001505697,0.00007074915,0.000021591322,0.00013549015,0.00016668843,0.98698527,0.0023602778,0.000085851985,0.008634586],"study_design_scores_gemma":[0.007401292,0.0009105715,0.00003238743,0.0003426762,0.00015726627,0.00025975515,0.0004918737,0.044877484,0.93541753,0.008240725,0.0014807674,0.00038764297],"about_ca_topic_score_codex":0.000023638026,"about_ca_topic_score_gemma":0.00002094188,"teacher_disagreement_score":0.31842336,"about_ca_system_score_codex":0.00007865204,"about_ca_system_score_gemma":0.00012975806,"threshold_uncertainty_score":0.95965993},"labels":[],"label_agreement":null},{"id":"W2741677201","doi":"10.1158/1538-7445.am2017-3826","title":"Abstract 3826: Clinical validation of a serum protein panel (FLNA, FLNB and KRT19) for diagnosis and prognosis of prostate cancer","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Medicine; Prostate cancer; Prostate-specific antigen; Oncology; Prostate; Cancer; Internal medicine; Biopsy; Population; Prostate biopsy; FLNA; Pathology; Urology; Filamin; Biology","score_opus":0.22960820517903782,"score_gpt":0.5078346451430792,"score_spread":0.2782264399640414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741677201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955781,0.0006227761,0.00005762291,0.0013107253,0.000009827179,0.001567282,0.0006493783,0.000018190172,0.00018610862],"genre_scores_gemma":[0.9814955,0.0044025225,0.0028772906,0.0000053055173,0.00008753718,0.010799618,0.000008494022,0.00002529598,0.00029843306],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878263,0.00001839572,0.000369568,0.00035600289,0.00021525797,0.00025812845],"domain_scores_gemma":[0.9985453,0.0001862863,0.0003212042,0.00042921922,0.00042263477,0.00009538487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819205,0.000102869664,0.00024337022,0.00004337106,0.0002705062,0.000064254804,0.00026220747,0.00012536145,0.000102756574],"category_scores_gemma":[0.00029606943,0.00009524012,0.00004953699,0.000056857552,0.0005006004,0.00016762174,0.00018095314,0.00026554122,3.205255e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027706998,0.00020737172,0.43899727,0.002539763,0.00007409262,8.5898637e-7,0.00021706063,0.0000053833937,0.33288357,0.00064074696,0.0004127973,0.22374402],"study_design_scores_gemma":[0.00056592276,0.000073904215,0.021561425,0.00049344497,0.000015669191,2.7670364e-7,0.00006391515,0.000047363377,0.97122,0.0034911295,0.00236089,0.00010604364],"about_ca_topic_score_codex":0.0007377644,"about_ca_topic_score_gemma":0.00009528424,"teacher_disagreement_score":0.6383364,"about_ca_system_score_codex":0.000044696928,"about_ca_system_score_gemma":0.00015831791,"threshold_uncertainty_score":0.38837793},"labels":[],"label_agreement":null},{"id":"W2744903816","doi":"10.1016/j.yjmcc.2017.08.001","title":"Exercise-responsive phosphoproteins in the heart","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteome; Phosphorylation; UniProt; VO2 max; Treadmill; Isobaric labeling; Analysis of variance; Chemistry; Medicine; Internal medicine; Bioinformatics; Heart rate; Tandem mass spectrometry; Biology; Biochemistry; Mass spectrometry; Chromatography; Protein mass spectrometry","score_opus":0.009521893234553904,"score_gpt":0.2603799573812307,"score_spread":0.25085806414667683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744903816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789455,0.0034580724,0.013136427,0.0012981765,0.000030751224,0.00010733526,0.0000036438973,0.0000049120663,0.0030151668],"genre_scores_gemma":[0.99642926,0.00039987313,0.0029132213,0.000113186026,0.00007363891,0.000019976116,0.0000011106104,0.000008606524,0.000041151718],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999434,0.000034359702,0.00020603607,0.00010378458,0.000095046154,0.00012680511],"domain_scores_gemma":[0.9992579,0.000027387154,0.00021064475,0.00040892285,0.0000576809,0.000037432328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034244766,0.00008316414,0.00024583176,0.00002903143,0.00013911711,0.000033732354,0.00034628928,0.00009733636,0.000013828615],"category_scores_gemma":[0.00006922136,0.00005939477,0.00014137202,0.000019826995,0.00012016173,0.00004465199,0.00006143685,0.0003068428,0.0000012183742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070987946,0.000016004811,0.0009640519,0.000012407574,0.000024485822,0.00042433987,0.00007826631,0.000041893218,0.9936171,0.001537563,0.00015175634,0.003061141],"study_design_scores_gemma":[0.00044086223,0.00005299525,0.00053915713,0.000053136326,0.00004491848,0.00061607925,0.0002047083,0.000012393706,0.9668195,0.011417639,0.01969106,0.00010749967],"about_ca_topic_score_codex":0.00001282804,"about_ca_topic_score_gemma":8.818118e-7,"teacher_disagreement_score":0.026797552,"about_ca_system_score_codex":0.000012851285,"about_ca_system_score_gemma":0.000026945105,"threshold_uncertainty_score":0.24220483},"labels":[],"label_agreement":null},{"id":"W2745376284","doi":"10.1038/nmeth.4398","title":"Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses","year":2017,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":229,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"National Institute of General Medical Sciences; Institut Mérieux; Eidgenössische Technische Hochschule Zürich; National Science Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"False positive paradox; False discovery rate; Proteome; Computer science; Proteomics; Computational biology; Tandem mass spectrometry; Analyte; Biomarker discovery; Peptide; Scale (ratio); Data mining; Mass spectrometry; Scalability; Bioinformatics; Chemistry; Chromatography; Artificial intelligence; Biology; Biochemistry; Physics; Database","score_opus":0.042156479833656786,"score_gpt":0.46263987149887315,"score_spread":0.42048339166521637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745376284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0717897,0.0006556667,0.92473114,0.00027328834,0.000014547613,0.00033954944,0.0011409561,0.000039869672,0.0010152914],"genre_scores_gemma":[0.49087176,0.000011863965,0.5087766,0.000022653092,0.000025890407,0.00006299148,0.00012260805,0.0000090065705,0.000096628886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898595,0.00008383909,0.0002639113,0.00036175377,0.00012981409,0.00017474916],"domain_scores_gemma":[0.9985134,0.00016440416,0.00025594406,0.00093601143,0.00007441746,0.000055827477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510356,0.00012713006,0.00028953262,0.00004201845,0.00013114349,0.00003794589,0.00041704765,0.00028594962,0.00012999287],"category_scores_gemma":[0.0005394416,0.00011252254,0.000027622338,0.0000460035,0.00009602463,0.00014731089,0.00019158084,0.0005455076,5.7315987e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010313681,0.00009946529,0.0046998295,0.000100233716,0.000030898114,0.000004928494,0.000033766762,0.000008789313,0.9859692,0.0035924204,0.00009892526,0.005258416],"study_design_scores_gemma":[0.001078566,0.000020986989,0.011897572,0.00007592356,0.000058649293,0.0000040293476,0.0000816205,0.01349784,0.94658667,0.023594009,0.0028987098,0.00020544983],"about_ca_topic_score_codex":0.00004196065,"about_ca_topic_score_gemma":0.00004185614,"teacher_disagreement_score":0.41908208,"about_ca_system_score_codex":0.000024328667,"about_ca_system_score_gemma":0.000026599697,"threshold_uncertainty_score":0.4588536},"labels":[],"label_agreement":null},{"id":"W2750298210","doi":"10.1021/acs.jproteome.7b00416","title":"Optimization and Modeling of Quadrupole Orbitrap Parameters for Sensitive Analysis toward Single-Cell Proteomics","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Knowledge Development Fund; Simon Fraser University; Canada Foundation for Innovation","keywords":"Orbitrap; Proteomics; Mass spectrometry; Proteome; Chemistry; Shotgun proteomics; Single-cell analysis; Quantitative proteomics; Chromatography; Ion-mobility spectrometry; Computational biology; Cell; Biology; Biochemistry","score_opus":0.15013377786552987,"score_gpt":0.4033461184827378,"score_spread":0.253212340617208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750298210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34583437,0.000045161025,0.6529051,0.00036108214,0.0000053286253,0.00050318014,0.00002617484,0.0000068530153,0.00031275934],"genre_scores_gemma":[0.5649302,0.00010059402,0.43478468,0.000002140013,0.000039107694,0.00006952474,0.000003312335,0.000014445396,0.00005597581],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985549,0.000038830967,0.00052419666,0.00021232465,0.00039839474,0.00027137718],"domain_scores_gemma":[0.9973237,0.00013908629,0.0007310443,0.00040827048,0.0012760529,0.000121842975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013413865,0.00011702709,0.00037376673,0.00032024516,0.00035133923,0.0001338968,0.00037478306,0.00013498763,0.0000101693495],"category_scores_gemma":[0.00046168017,0.000106028456,0.00019349642,0.00018735294,0.0001971516,0.00025867423,0.00012361002,0.00045629506,2.2609717e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037959026,0.00020167104,0.00034001164,0.00039510618,0.0002590752,0.0000045541665,0.00033590276,0.121162206,0.875833,0.00021678678,0.000010907902,0.000861199],"study_design_scores_gemma":[0.00043204543,0.00015258716,0.0000047686785,0.00008541382,0.000092784976,0.0000076805345,0.00026272496,0.35867622,0.6368966,0.003280223,0.00001501127,0.00009391261],"about_ca_topic_score_codex":0.000054683544,"about_ca_topic_score_gemma":0.000002537828,"teacher_disagreement_score":0.23893635,"about_ca_system_score_codex":0.00010795572,"about_ca_system_score_gemma":0.00012404278,"threshold_uncertainty_score":0.4323715},"labels":[],"label_agreement":null},{"id":"W2750922328","doi":"10.1002/elps.201700190","title":"Coomassie staining provides routine (sub)femtomole in‐gel detection of intact proteoforms: Expanding opportunities for genuine Top‐down Proteomics","year":2017,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Densitometry; Proteome; Coomassie Brilliant Blue; Mass spectrometry; Proteomics; Chromatography; Chemistry; Absorbance; Quantitative proteomics; Resolution (logic); Staining; Computational biology; Biochemistry; Biology; Computer science; Optics; Artificial intelligence","score_opus":0.029701996816549853,"score_gpt":0.29289363917580324,"score_spread":0.2631916423592534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750922328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9342779,0.000117684205,0.06319527,0.0002855284,0.000015271373,0.0012789989,0.000058028712,0.00011436443,0.00065695983],"genre_scores_gemma":[0.97141874,0.00028190532,0.024750154,0.000013344105,0.00011866332,0.003001306,0.000035981422,0.000054469103,0.00032545783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985548,0.000011367413,0.0004691614,0.00035341925,0.00015049681,0.00046071102],"domain_scores_gemma":[0.99849546,0.000052047184,0.0006134302,0.00062968134,0.0001396969,0.00006966234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028099577,0.0002296597,0.00033099655,0.00012468093,0.00046416972,0.000090533715,0.00040105914,0.00016729363,0.000016535523],"category_scores_gemma":[0.00027597533,0.00022704362,0.000109958346,0.00008402639,0.00010954726,0.00026596908,0.00011516373,0.00026058778,4.657912e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030861158,0.00006199833,0.0010850175,0.00022624673,0.000023161041,0.0000030140568,0.00011657653,0.000009902507,0.97580546,0.00060035166,0.000024961548,0.021734703],"study_design_scores_gemma":[0.000595564,0.00019101813,0.0002605809,0.0001389191,0.000021954549,0.000006129639,0.0002568569,0.00083214935,0.99064845,0.0060101645,0.0007823415,0.0002558946],"about_ca_topic_score_codex":0.000110463596,"about_ca_topic_score_gemma":0.00006397653,"teacher_disagreement_score":0.038445123,"about_ca_system_score_codex":0.00025780642,"about_ca_system_score_gemma":0.00012188666,"threshold_uncertainty_score":0.925857},"labels":[],"label_agreement":null},{"id":"W2752077118","doi":"","title":"Developing a Proteomic Prognostic Signature for Breast Cancer Patients","year":2014,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Breast cancer; Signature (topology); Oncology; Medicine; Cancer; Internal medicine; Computational biology; Bioinformatics; Data science; Computer science; Biology; Mathematics","score_opus":0.008463676249282659,"score_gpt":0.26226075315102465,"score_spread":0.25379707690174197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752077118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92914355,0.00068479887,0.028950391,0.00070874544,0.000196655,0.0036039043,0.0024986938,0.00039813554,0.033815138],"genre_scores_gemma":[0.88844466,0.00050390186,0.07796743,0.000020517842,0.0001368748,0.00013608237,0.0029263296,0.00009656943,0.029767653],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99917156,0.000006069837,0.00011310672,0.00036141716,0.00014038141,0.00020747432],"domain_scores_gemma":[0.9988843,0.000028347247,0.00044276688,0.00023863935,0.00034721408,0.000058719183],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003339864,0.00022046616,0.0003014011,0.000022253704,0.00019078892,0.000009175497,0.00033728094,0.00039465656,0.0037044373],"category_scores_gemma":[0.000014103475,0.0002797327,0.00013642467,0.00003325844,0.000032786676,0.00013211883,0.00004159082,0.00017866878,0.0000028606464],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034269318,0.000855444,0.0073607024,0.016860526,0.0010089665,0.000004111202,0.011600512,0.00007928601,0.17617334,0.011587387,0.0065951794,0.7644476],"study_design_scores_gemma":[0.016057529,0.0007831592,0.5398055,0.01750763,0.0037743691,0.000009716598,0.027279163,0.002344407,0.3097486,0.00767507,0.06453024,0.010484661],"about_ca_topic_score_codex":0.009124116,"about_ca_topic_score_gemma":0.01618386,"teacher_disagreement_score":0.75396293,"about_ca_system_score_codex":0.0005040827,"about_ca_system_score_gemma":0.00018728196,"threshold_uncertainty_score":0.9999655},"labels":[],"label_agreement":null},{"id":"W2752987982","doi":"10.1016/j.jprot.2017.08.003","title":"Towards a routine application of Top-Down approaches for label-free discovery workflows","year":2017,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Biomarker discovery; Proteomics; Computational biology; Computer science; Sample size determination; Biomarker; Robustness (evolution); Protein isoform; Statistical power; Bioinformatics; Biology; Gene isoform; Alternative splicing; Mathematics; Biochemistry","score_opus":0.03813718731356096,"score_gpt":0.30481914563658696,"score_spread":0.266681958323026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752987982","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19697042,0.0000852547,0.7997703,0.0011442766,0.000030908577,0.0005164666,0.00010295866,0.000017232773,0.0013621604],"genre_scores_gemma":[0.47148862,0.00006261286,0.5276287,0.0000142720155,0.00031395032,0.00021792173,0.000007864657,0.000023914792,0.00024208277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883693,0.000006205102,0.0006151176,0.00017613958,0.00018449356,0.00018112734],"domain_scores_gemma":[0.9969282,0.000036850433,0.0017731327,0.00097215123,0.0002205181,0.000069132024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000384919,0.0001526053,0.00034350235,0.000046473382,0.00019812459,0.000091909475,0.0010687315,0.00014807972,0.000007323571],"category_scores_gemma":[0.00030943064,0.00013257076,0.00018781374,0.000042404426,0.00011005428,0.00038097423,0.00018465387,0.00026697083,5.268907e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089469,0.0006510764,0.0045631654,0.0005903847,0.00018088048,0.000002213162,0.0002152106,0.00040070375,0.8306447,0.070708595,0.0005780951,0.090570256],"study_design_scores_gemma":[0.0016895994,0.00011025496,0.00023159497,0.0001368589,0.00007874892,0.000027647957,0.00006629451,0.003584897,0.87006736,0.12071412,0.0030724793,0.0002201656],"about_ca_topic_score_codex":0.000016483162,"about_ca_topic_score_gemma":0.0000043883106,"teacher_disagreement_score":0.27451822,"about_ca_system_score_codex":0.00008749662,"about_ca_system_score_gemma":0.00011194396,"threshold_uncertainty_score":0.54060787},"labels":[],"label_agreement":null},{"id":"W2753647018","doi":"10.1002/prca.201600179","title":"Using Public Data for Comparative Proteome Analysis in Precision Medicine Programs","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computer science; Proteomics; Robustness (evolution); Proteome; Precision medicine; Stable isotope labeling by amino acids in cell culture; Data mining; Context (archaeology); Quantitative proteomics; Computational biology; Experimental data; Cluster analysis; Bioinformatics; Artificial intelligence; Medicine; Biology; Gene; Pathology; Statistics; Mathematics","score_opus":0.500801208736831,"score_gpt":0.5448850286792242,"score_spread":0.04408381994239319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753647018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042539123,0.00006522083,0.94570243,0.002820437,0.000021282765,0.006331179,0.0004943601,0.00017475459,0.0018512354],"genre_scores_gemma":[0.38413918,0.00010133523,0.6012338,0.000050884322,0.00035748538,0.012569403,0.0013583937,0.000036780402,0.00015275688],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656355,0.000041588126,0.0014256352,0.0012792571,0.0002431604,0.00044677782],"domain_scores_gemma":[0.9930378,0.0004031335,0.0012499451,0.00475286,0.00032387936,0.00023234455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016524718,0.00029213043,0.0008213466,0.00016450984,0.0008800933,0.0002014313,0.0029398496,0.00032018826,0.000066921384],"category_scores_gemma":[0.00070856273,0.00026863598,0.0002075852,0.0005079142,0.00070388085,0.0004472964,0.00088419154,0.00056047324,0.000011107063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009462802,0.009397264,0.37454212,0.00089655415,0.0028816052,0.0000042771057,0.00047291274,0.00060553616,0.1308542,0.19135717,0.0010942838,0.2869478],"study_design_scores_gemma":[0.0058469735,0.0002767847,0.0074012564,0.00033450793,0.0017191145,0.0000087192575,0.0002805358,0.44281057,0.016662264,0.32843852,0.19424373,0.0019770311],"about_ca_topic_score_codex":0.00016043187,"about_ca_topic_score_gemma":0.00026716015,"teacher_disagreement_score":0.442205,"about_ca_system_score_codex":0.00011507711,"about_ca_system_score_gemma":0.00014534045,"threshold_uncertainty_score":0.9999766},"labels":[],"label_agreement":null},{"id":"W2754233770","doi":"10.1002/prca.201600180","title":"ExSTA: External Standard Addition Method for Accurate High‐Throughput Quantitation in Targeted Proteomics Experiments","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Fondation De Famille Alvin Segal; Genome British Columbia; McGill University; University of Victoria; Jewish General Hospital; Leading Edge Endowment Fund; Genome Canada","keywords":"Nat; Analyte; Quantitative proteomics; Chromatography; Chemistry; Throughput; Proteomics; Computer science; Mathematics; Statistics; Biochemistry","score_opus":0.08633517461077585,"score_gpt":0.471882843429388,"score_spread":0.3855476688186122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754233770","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044078857,0.000054824355,0.94718874,0.0013470564,0.00007653312,0.005156539,0.0012868005,0.00023358593,0.00057704846],"genre_scores_gemma":[0.10716282,0.00025154572,0.8556359,0.00014017872,0.00044578026,0.035483368,0.00054175477,0.00008670132,0.00025199007],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966028,0.000058273723,0.0014869383,0.0010794469,0.00026420227,0.0005083413],"domain_scores_gemma":[0.99588513,0.0004255355,0.0014167755,0.0017153776,0.00035922098,0.00019793022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010519769,0.00037193447,0.0005922774,0.000085902015,0.00095224084,0.00026970284,0.0010980328,0.00046268525,0.0001353708],"category_scores_gemma":[0.0006499664,0.0004037897,0.0002642135,0.00013332814,0.000292186,0.00051998266,0.0002685231,0.0006456302,0.000036716097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001403425,0.0015553439,0.0037528453,0.0003453156,0.00013498156,0.000002926014,0.00016655015,0.00041327838,0.66223353,0.2602234,0.00093773927,0.068830684],"study_design_scores_gemma":[0.0034209932,0.000156292,0.0012233211,0.00014482126,0.00006799539,0.0000044605454,0.000075937285,0.010847465,0.5895667,0.37311682,0.020599486,0.00077569636],"about_ca_topic_score_codex":0.0001325734,"about_ca_topic_score_gemma":0.000046239107,"teacher_disagreement_score":0.11289345,"about_ca_system_score_codex":0.0002635259,"about_ca_system_score_gemma":0.0001910986,"threshold_uncertainty_score":0.9998414},"labels":[],"label_agreement":null},{"id":"W2756284781","doi":"10.1038/s41598-017-11786-w","title":"Digging into the low molecular weight peptidome with the OligoNet web server","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lallemand","keywords":"Computer science; Computational biology; Metabolomics; Web server; Profiling (computer programming); Bioinformatics; Proteome; Metabolome; Peptide; Chemistry; Data mining; Biology; Biochemistry; World Wide Web; The Internet","score_opus":0.006309352354779349,"score_gpt":0.24768623512068144,"score_spread":0.24137688276590208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756284781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97294086,0.000099380246,0.0029424815,0.003102125,0.00025294063,0.0002760295,0.0000020656692,0.00012547628,0.020258617],"genre_scores_gemma":[0.9863246,0.000007872049,0.0026188644,0.000053888438,0.000070691945,0.00019100183,0.000014293242,0.000021460977,0.010697348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874437,0.000007242296,0.00019765062,0.0004931719,0.000327005,0.00023058149],"domain_scores_gemma":[0.9963116,0.000016431348,0.00040255257,0.0031142107,0.0000986946,0.00005647766],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00049281365,0.00013004633,0.00009915272,0.000017452914,0.0020777301,0.0006789335,0.00065288896,0.000047262598,0.00010086085],"category_scores_gemma":[0.000038414342,0.00006746703,0.000067953086,0.000092650356,0.00061800046,0.00015316473,0.0002465662,0.00019559305,0.00001335769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009140593,0.00006725234,0.002741628,0.00005240698,0.000041613952,0.00026513232,0.0006874825,0.0002029951,0.9757343,0.0034042823,0.014483585,0.002310196],"study_design_scores_gemma":[0.00006475112,0.00000373312,0.00006625967,0.00005308891,0.000019419693,0.0000998137,0.00007133393,0.00019564334,0.7006744,0.02410104,0.27448642,0.00016409725],"about_ca_topic_score_codex":0.00003611188,"about_ca_topic_score_gemma":0.000040255163,"teacher_disagreement_score":0.27505988,"about_ca_system_score_codex":0.00003366073,"about_ca_system_score_gemma":0.000075776494,"threshold_uncertainty_score":0.99922144},"labels":[],"label_agreement":null},{"id":"W2759592955","doi":"10.1021/acs.jproteome.7b00467","title":"The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Cancer Institute; National Institute of General Medical Sciences; Knut och Alice Wallenbergs Stiftelse","keywords":"Proteome; Human plasma; Human proteome project; Proteomics; Computational biology; Mass spectrometry; Blood proteins; Bioinformatics; Biology; Chemistry; Biochemistry; Chromatography; Gene","score_opus":0.10047940533557803,"score_gpt":0.4165295949624361,"score_spread":0.31605018962685805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759592955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98814774,0.00008175731,0.000858155,0.0044903015,0.000023268438,0.0010211127,0.000077742065,0.000018827162,0.0052811187],"genre_scores_gemma":[0.971232,0.00017993535,0.027025286,0.000009230891,0.0005094184,0.0002411868,0.0000062892213,0.00004510588,0.0007515634],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996916,0.00015853565,0.00079129305,0.0003360065,0.001220451,0.00057770876],"domain_scores_gemma":[0.99622643,0.0007693955,0.0011313629,0.0012582956,0.00043702277,0.00017751168],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031583789,0.00023962911,0.00039856238,0.00019434253,0.0033975951,0.00044827408,0.0021270798,0.00014268921,0.00029344164],"category_scores_gemma":[0.0004499105,0.00014857977,0.00016822523,0.00013849205,0.0008339606,0.0002464823,0.00059605896,0.0021149104,0.000006926947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009878874,0.000090185495,0.0024916348,0.000059881655,0.00012227551,0.000021070455,0.0000937457,0.0000043783757,0.9853057,0.010250562,0.001010723,0.00045103751],"study_design_scores_gemma":[0.0008509596,0.00034295017,0.001849347,0.0004114766,0.000021800008,0.000032270997,0.00040408736,0.00013457771,0.8990411,0.09265951,0.0040741265,0.00017775052],"about_ca_topic_score_codex":0.00025372152,"about_ca_topic_score_gemma":0.000029925044,"teacher_disagreement_score":0.08626457,"about_ca_system_score_codex":0.00023718429,"about_ca_system_score_gemma":0.0001043439,"threshold_uncertainty_score":0.99789983},"labels":[],"label_agreement":null},{"id":"W2760028537","doi":"10.1373/clinchem.2017.277087","title":"At the Intersection of Proteomics and Big Data Science","year":2017,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Providence Health Care; University of British Columbia","funders":"","keywords":"Intersection (aeronautics); Proteomics; Computational biology; Data science; Computer science; Chemistry; Biology; Geography; Biochemistry; Cartography","score_opus":0.15349707037810026,"score_gpt":0.42649816529864687,"score_spread":0.2730010949205466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760028537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820751,0.000024923314,0.0011266865,0.000452058,0.00003738835,0.00007575284,0.00007017283,0.000026542566,0.016111352],"genre_scores_gemma":[0.99337405,0.000102374834,0.0051352857,0.000018984316,0.00022921099,0.000023866585,0.000017786198,0.0000077095765,0.0010907045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915236,0.0000024323347,0.0002741993,0.0003635962,0.00009815624,0.00010923023],"domain_scores_gemma":[0.9972517,0.00008169287,0.0003371838,0.0022107745,0.000056593883,0.000062059604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004805649,0.00007026742,0.000113240756,0.0000024352614,0.00045412645,0.000046416648,0.0012779661,0.00009251922,0.000042626943],"category_scores_gemma":[0.0009379353,0.000052608073,0.00003098846,0.000025580583,0.0019326957,0.00010696534,0.0017329325,0.00023956022,0.0000016122004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035437115,0.00005621016,0.02941501,0.00008781858,0.000009521634,5.2051314e-7,0.0000098682485,3.1016367e-7,0.944786,0.00022093582,0.00031204108,0.025066342],"study_design_scores_gemma":[0.00015796038,0.0000046799473,0.0006419347,0.000034024542,0.000011480471,0.000008185125,0.000021757394,0.00035026149,0.9911511,0.0017734299,0.005771628,0.00007355504],"about_ca_topic_score_codex":0.000008628977,"about_ca_topic_score_gemma":0.0000029617743,"teacher_disagreement_score":0.046365116,"about_ca_system_score_codex":0.000031689506,"about_ca_system_score_gemma":0.00006978608,"threshold_uncertainty_score":0.7121098},"labels":[],"label_agreement":null},{"id":"W2761115149","doi":"","title":"Abstract 15641: Profiling the Altered Cellular and Secreted Proteome of Cardiac Fibroblasts in Hypoxia Through Label-free Quantitation","year":2016,"lang":"en","type":"article","venue":"Circulation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteome; Cardiac fibrosis; Cell biology; Hypoxia (environmental); Secretion; Medicine; Paracrine signalling; Pathophysiology; Fibrosis; Molecular biology; Biology; Biochemistry; Chemistry; Pathology; Internal medicine; Receptor","score_opus":0.024281614838381406,"score_gpt":0.2708803759627151,"score_spread":0.24659876112433368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761115149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97417706,0.00015244514,0.02434697,0.00022327741,0.000014143561,0.00048576272,0.000041503357,0.000052937885,0.0005058968],"genre_scores_gemma":[0.9854532,0.000046103814,0.014209083,0.0000052894234,0.00004615834,0.00017433024,0.00003598871,0.000016585802,0.0000132813975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992689,0.000014856681,0.0002747723,0.00020541683,0.000115264695,0.00012079517],"domain_scores_gemma":[0.99926585,0.000091699134,0.00019535217,0.00036617112,0.00006278679,0.00001816638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013443778,0.00009532851,0.00012332677,0.000026788806,0.00005806029,0.000012250907,0.000114270595,0.000091818634,0.000019602321],"category_scores_gemma":[0.0000833893,0.00006849708,0.00003179062,0.0001135795,0.0000605751,0.00018774609,0.000037484584,0.00008467108,0.0000023388973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000129265045,0.000013330052,0.005420944,0.00008501384,0.000006846065,1.1599488e-7,0.000119496595,0.000053985976,0.9876014,0.004463967,0.0000050977546,0.0022168634],"study_design_scores_gemma":[0.00035430738,0.000007219895,0.028665872,0.00016749975,0.000009654811,6.8207214e-7,0.00005551986,0.00086898037,0.9295017,0.040131424,0.0001158592,0.00012129169],"about_ca_topic_score_codex":0.000033314664,"about_ca_topic_score_gemma":0.000003684386,"teacher_disagreement_score":0.058099724,"about_ca_system_score_codex":0.000047563735,"about_ca_system_score_gemma":0.000019733516,"threshold_uncertainty_score":0.27932298},"labels":[],"label_agreement":null},{"id":"W2765472463","doi":"10.1186/s12014-017-9170-0","title":"Freeze-dried plasma proteins are stable at room temperature for at least 1 year","year":2017,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fonds National de la Recherche Luxembourg; Integrated BioBank of Luxembourg","keywords":"Chemistry; Liquid nitrogen; Chromatography; Tandem mass spectrometry; Mass spectrometry; Peptide; Liquid chromatography–mass spectrometry; Biochemistry","score_opus":0.05201280303278081,"score_gpt":0.3538286402766936,"score_spread":0.30181583724391275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765472463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98240876,0.00003224513,0.006619223,0.0019833082,0.00013852578,0.0027509106,0.0012020512,0.0003299293,0.004535058],"genre_scores_gemma":[0.56330305,0.00015908791,0.3815625,0.00028141946,0.0015357262,0.004697527,0.0003337896,0.00020792782,0.047918994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99776405,0.00001829312,0.00072283373,0.0008092388,0.00018479352,0.00050081837],"domain_scores_gemma":[0.99654436,0.00015899635,0.0008769401,0.001972819,0.00018625212,0.00026063275],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00036052457,0.00031328687,0.0005159912,0.000019729572,0.0014427485,0.00016230097,0.0010020344,0.0006961129,0.00027989093],"category_scores_gemma":[0.0009961632,0.0003048373,0.00032746725,0.0000362378,0.0002996811,0.00017150723,0.0007525856,0.00068859267,0.00013568376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018962928,0.0006307809,0.047896005,0.0004896722,0.00013705924,0.000012052942,0.000047467154,0.000068102825,0.91238457,0.0049200444,0.029655464,0.0018624978],"study_design_scores_gemma":[0.0022530197,0.00010288728,0.0007193358,0.00014940671,0.000043654654,0.0000075450616,0.000025997238,0.0006452093,0.86832815,0.008576147,0.1185905,0.0005581736],"about_ca_topic_score_codex":0.000015473059,"about_ca_topic_score_gemma":0.00011348302,"teacher_disagreement_score":0.4191057,"about_ca_system_score_codex":0.00024542309,"about_ca_system_score_gemma":0.00009062599,"threshold_uncertainty_score":0.9999404},"labels":[],"label_agreement":null},{"id":"W2765753182","doi":"10.1093/bioinformatics/btx667","title":"DISC: DISulfide linkage Characterization from tandem mass spectra","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Disulfide Linkage; Tandem mass spectrometry; Mass spectrometry; Mass spectrum; Proteome; Matching (statistics); Chemistry; Characterization (materials science); Disulfide bond; Data mining; Biological system; Materials science; Chromatography; Mathematics; Cysteine; Nanotechnology; Statistics; Biochemistry; Biology","score_opus":0.015002807750675909,"score_gpt":0.2652042303954211,"score_spread":0.2502014226447452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765753182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19806845,0.00001062554,0.755066,0.00050112436,0.00007127069,0.00019920981,0.0005446675,0.00030064382,0.045238018],"genre_scores_gemma":[0.6268371,0.0002618791,0.3686773,0.00013932034,0.00044131782,0.00010165048,0.001396278,0.000038873695,0.002106307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931127,0.0000015716096,0.00029479596,0.00010919483,0.000117506155,0.0001656792],"domain_scores_gemma":[0.99867165,0.000017251406,0.0003851785,0.00082936557,0.000028489647,0.00006808829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041642426,0.00012838669,0.00013195472,0.000015355623,0.00038416105,0.00021334359,0.00042687153,0.00011191122,0.00022869666],"category_scores_gemma":[0.000042818283,0.00011823521,0.00005268094,0.000020879908,0.000060724138,0.0004375777,0.0000925617,0.00014555425,0.00009405236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016670216,0.00008140627,0.014928544,0.00014474598,0.000051156105,0.000004156028,0.00068651186,0.000006734584,0.92011577,0.012688368,0.00036246024,0.050913475],"study_design_scores_gemma":[0.00067203824,0.000017099439,0.011254247,0.0001835603,0.00004949912,0.0000031450395,0.000189464,0.033733137,0.86178887,0.024565464,0.06685595,0.0006875131],"about_ca_topic_score_codex":0.000009810502,"about_ca_topic_score_gemma":0.0000025857717,"teacher_disagreement_score":0.42876863,"about_ca_system_score_codex":0.000043929922,"about_ca_system_score_gemma":0.00001846188,"threshold_uncertainty_score":0.4821492},"labels":[],"label_agreement":null},{"id":"W2766218091","doi":"10.1021/acs.analchem.7b04340","title":"Proteomic and Metaproteomic Approaches to Understand Host–Microbe Interactions","year":2017,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Library science; Citation; Social media; World Wide Web; Computer science","score_opus":0.2746462045201429,"score_gpt":0.3892013016686612,"score_spread":0.1145550971485183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766218091","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023200353,0.9277056,0.00664813,0.0006172984,0.000030141611,0.0016706056,0.00055828685,0.00037496793,0.062163003],"genre_scores_gemma":[0.00020893101,0.9664051,0.012399417,0.00003525336,0.00038219,0.0010865229,0.00024470437,0.00015869977,0.019079166],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99752164,0.000013765545,0.00070885423,0.0010933963,0.00017766285,0.00048469327],"domain_scores_gemma":[0.99745995,0.00009517713,0.00047789945,0.0015288722,0.000040567866,0.00039754205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014572137,0.00068997993,0.0015606728,0.00006896509,0.00035526077,0.0002678805,0.0008288113,0.0005628137,0.00052225706],"category_scores_gemma":[0.00015147998,0.0006295967,0.0005106525,0.00013886599,0.0002762958,0.00011143073,0.0005536196,0.0011730825,0.000075520205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071180606,0.0006038003,0.000013841455,0.0929583,0.0023096255,0.000074730575,0.00012985323,0.0000034114566,0.011483373,0.006190032,0.0061239963,0.88003784],"study_design_scores_gemma":[0.00011744447,0.0000068111603,9.3412766e-8,0.003133292,0.00096762547,0.0001338501,0.000026553149,0.00007258388,0.00849506,0.0009519506,0.9853264,0.0007683504],"about_ca_topic_score_codex":0.000014782006,"about_ca_topic_score_gemma":0.0000016738229,"teacher_disagreement_score":0.9792024,"about_ca_system_score_codex":0.00044002887,"about_ca_system_score_gemma":0.00026214172,"threshold_uncertainty_score":0.99961555},"labels":[],"label_agreement":null},{"id":"W2766230678","doi":"10.1016/j.clinms.2017.10.001","title":"Manipulating trypsin digestion conditions to accelerate proteolysis and simplify digestion workflows in development of protein mass spectrometric assays for the clinical laboratory","year":2017,"lang":"en","type":"article","venue":"Clinical mass spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Providence Health Care; University of British Columbia","funders":"","keywords":"Digestion (alchemy); Chemistry; Proteolysis; Trypsin; Chromatography; Bottom-up proteomics; Proteolytic enzymes; Sample preparation; Biochemistry; Mass spectrometry; Tandem mass spectrometry; Protein mass spectrometry; Enzyme","score_opus":0.07889308809816217,"score_gpt":0.40520179490342595,"score_spread":0.3263087068052638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766230678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84954256,0.00008436729,0.14616325,0.001383624,0.000072838135,0.0019395082,0.00008572184,0.00009823535,0.0006299029],"genre_scores_gemma":[0.7223811,0.000070611284,0.2758562,0.00004111594,0.00023328137,0.0012444238,0.00002866624,0.000037645113,0.00010691221],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99674547,0.00007921934,0.0017017439,0.0007540265,0.00026997944,0.00044953907],"domain_scores_gemma":[0.99620444,0.0013289808,0.0010240132,0.0010454132,0.00019357615,0.00020355152],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020509574,0.00028677,0.0006428272,0.00024785614,0.00067050656,0.00016334509,0.0006622282,0.0003888696,0.00008156762],"category_scores_gemma":[0.0038608362,0.00024809837,0.00018828266,0.0006371067,0.00025961857,0.00020304964,0.00021196576,0.000830007,0.000007943046],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050132826,0.0009784198,0.34432685,0.00036224118,0.0002545126,0.000008755077,0.000071950446,0.00012064082,0.5859322,0.013161296,0.0000989246,0.05418287],"study_design_scores_gemma":[0.0034663992,0.0005037729,0.6505927,0.00078715984,0.00019703117,0.0000038613434,0.00022787193,0.0023393712,0.2918404,0.045684386,0.003171003,0.001186073],"about_ca_topic_score_codex":0.000010449417,"about_ca_topic_score_gemma":0.000021575031,"teacher_disagreement_score":0.30626583,"about_ca_system_score_codex":0.00017982587,"about_ca_system_score_gemma":0.00016257181,"threshold_uncertainty_score":0.99999714},"labels":[],"label_agreement":null},{"id":"W2767340200","doi":"10.1021/acs.jproteome.7b00487","title":"Identification of Mature Atherosclerotic Plaque Proteome Signatures Using Data-Independent Acquisition Mass Spectrometry","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Regina Qu'Appelle Health Region; University of Regina","funders":"Saskatchewan Health Research Foundation","keywords":"Proteome; Lumican; Extracellular matrix; Proteomics; Biology; Pathology; Quantitative proteomics; Cell biology; Medicine; Bioinformatics; Biochemistry; Proteoglycan","score_opus":0.10274527265026451,"score_gpt":0.42245536908487036,"score_spread":0.31971009643460585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767340200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8661674,0.00040610094,0.13032493,0.0010340213,0.00007438383,0.0012908172,0.00020786395,0.00003427345,0.0004602005],"genre_scores_gemma":[0.91223884,0.00019662203,0.08667504,0.0000039584174,0.00046513314,0.00006697074,0.000016698632,0.000044365708,0.00029238366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968379,0.000099312805,0.0008981584,0.00039085155,0.0013519918,0.00042174823],"domain_scores_gemma":[0.99501073,0.00009171377,0.001797346,0.0019502185,0.0009993315,0.0001506438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032192452,0.00018439259,0.0003766757,0.00037857617,0.0006165577,0.00030628708,0.0024724267,0.00031596428,0.00022276319],"category_scores_gemma":[0.0005554475,0.00016260773,0.00012673106,0.00024393367,0.00028347573,0.0008749273,0.00051021005,0.0016544735,0.0000080874715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014935178,0.0001361786,0.00041341933,0.0003105982,0.000056487195,0.000017159387,0.000040516454,0.000096514974,0.9978604,0.0005469879,0.00007941745,0.00029300942],"study_design_scores_gemma":[0.00048475582,0.00008442341,0.0013817159,0.0004404223,0.000028582384,0.000064496984,0.00011053031,0.0017475665,0.97466725,0.020675903,0.00015262226,0.00016170854],"about_ca_topic_score_codex":0.000028324139,"about_ca_topic_score_gemma":0.0000014803159,"teacher_disagreement_score":0.046071414,"about_ca_system_score_codex":0.00032174418,"about_ca_system_score_gemma":0.00026859183,"threshold_uncertainty_score":0.7187956},"labels":[],"label_agreement":null},{"id":"W2767715277","doi":"10.1074/mcp.m116.065755","title":"Spatially-Resolved Top-down Proteomics Bridged to MALDI MS Imaging Reveals the Molecular Physiome of Brain Regions","year":2017,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Institut National Du Cancer; Institut Universitaire de France; Canada Research Chairs; Fonds de recherche du Québec – Nature et technologies; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale","keywords":"Proteomics; Proteome; Computational biology; Mass spectrometry imaging; Biology; Chemistry; Bioinformatics; Mass spectrometry; Genetics; Gene","score_opus":0.01004576310731786,"score_gpt":0.26379603876678853,"score_spread":0.25375027565947067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767715277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5232417,0.00012413158,0.46738428,0.005519604,0.000034204884,0.0020147092,0.000077698125,0.00012810343,0.0014756025],"genre_scores_gemma":[0.8074814,0.000026794674,0.18911298,0.000790004,0.00013741592,0.0015501813,0.00008461212,0.0001774404,0.00063918094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967228,0.00009083281,0.00085768884,0.0009855084,0.00054978416,0.00079336617],"domain_scores_gemma":[0.9942026,0.000055429355,0.00097117614,0.004164737,0.0003243956,0.00028162738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005934239,0.0005884311,0.0006252087,0.00011964252,0.00088475924,0.00029839718,0.002463447,0.0002519473,0.000064819695],"category_scores_gemma":[0.00051124266,0.0005541382,0.00045990178,0.00023992702,0.0004235497,0.00019088744,0.0010008493,0.0007078304,0.00003062317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006725258,0.0001113737,0.00019707694,0.00012627798,0.00006628366,0.00006594112,0.00013365151,0.00056207075,0.98326665,0.014204294,0.00022525874,0.00097385334],"study_design_scores_gemma":[0.00059745344,0.000040236217,0.00005421529,0.000198431,0.00007138154,0.000021417603,0.000030843526,0.0015057517,0.9748155,0.018106777,0.003933306,0.0006247005],"about_ca_topic_score_codex":0.0002968257,"about_ca_topic_score_gemma":0.000010055476,"teacher_disagreement_score":0.2842397,"about_ca_system_score_codex":0.00016973249,"about_ca_system_score_gemma":0.0001613451,"threshold_uncertainty_score":0.999691},"labels":[],"label_agreement":null},{"id":"W2768709594","doi":"10.1021/acs.analchem.7b02395","title":"Quantifying Missing (Phospho)Proteome Regions with the Broad-Specificity Protease Subtilisin","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Bundesministerium für Bildung und Forschung; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Subtilisin; Proteome; Chemistry; Trypsin; Protease; In silico; Proteolysis; Peptide; Proteolytic enzymes; Biochemistry; Serine protease; Enzyme; Computational biology; Biology; Gene","score_opus":0.04711638891304788,"score_gpt":0.3174457207972944,"score_spread":0.2703293318842465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768709594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8415212,0.00017011253,0.040111776,0.017159415,0.000013152278,0.0005348222,0.000062582796,0.00046756223,0.09995939],"genre_scores_gemma":[0.98619056,0.000025547712,0.0077414466,0.000090799156,0.00021668694,0.00020030998,0.0000225868,0.00004636005,0.0054656896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984273,0.000006825614,0.0002750779,0.00056388805,0.00029472585,0.00043221973],"domain_scores_gemma":[0.9972641,0.00008250292,0.00030743013,0.0020032118,0.00012398415,0.0002188],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00016184922,0.00027958467,0.00026241888,0.000009757064,0.001431585,0.00035502692,0.0009778179,0.00019379791,0.0004952899],"category_scores_gemma":[0.00020225244,0.00019728094,0.00014432009,0.00009288677,0.0006614858,0.00015609083,0.00020914647,0.0007027376,0.000019147514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032507058,0.00045313532,0.01039745,0.0005804642,0.0001873082,0.00013433189,0.00012357226,0.000042216354,0.96469706,0.013827123,0.0048198947,0.0044123614],"study_design_scores_gemma":[0.0003758608,0.000009506045,0.00037834691,0.00017973321,0.00008408351,0.0000519672,0.00014621274,0.0025177463,0.9608748,0.0038551656,0.031063331,0.00046322081],"about_ca_topic_score_codex":0.00009483458,"about_ca_topic_score_gemma":0.000009534726,"teacher_disagreement_score":0.14466938,"about_ca_system_score_codex":0.00009582674,"about_ca_system_score_gemma":0.00008976889,"threshold_uncertainty_score":0.9998684},"labels":[],"label_agreement":null},{"id":"W2770438042","doi":"10.1109/icci-cc.2017.8109752","title":"NBPMF: Novel network-based inference methods for peptide mass fingerprinting","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Peptide mass fingerprinting; Inference; Matching (statistics); Probability mass function; Probabilistic logic; Data mining; Artificial intelligence; Pattern recognition (psychology); Probability density function; Mathematics; Statistics; Chemistry; Proteomics","score_opus":0.057697253916459405,"score_gpt":0.41705492092917956,"score_spread":0.35935766701272015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770438042","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096867234,0.0000101119,0.95501363,0.00033886338,0.000020268119,0.0001816737,0.000015163742,0.00019550361,0.043256085],"genre_scores_gemma":[0.101473026,0.0000050033514,0.8953881,0.00012210144,0.00014386412,0.00047112536,0.000013273601,0.000022034863,0.002361439],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924046,0.0000033063118,0.00018857772,0.00026392296,0.000045645535,0.00025811297],"domain_scores_gemma":[0.99853015,0.00030980248,0.000228643,0.0007973295,0.00007992224,0.000054170137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027033896,0.00012073948,0.00014494998,0.000010355537,0.000528621,0.00011004412,0.00047830064,0.00009449065,0.0001322979],"category_scores_gemma":[0.00034447428,0.000117276664,0.00008553806,0.00002100569,0.00005633789,0.000080083904,0.00010364889,0.00013970272,0.0000037352486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002060505,0.00003956132,0.003392682,0.00008396601,0.000015915908,1.84352e-7,0.000008671382,0.0015227717,0.8413424,0.084214,0.00032125678,0.06903802],"study_design_scores_gemma":[0.00038955107,0.000008277696,0.00011474864,0.000061729865,0.0000147583,4.8301877e-7,0.000006298388,0.06588617,0.811526,0.04659717,0.075134955,0.0002598719],"about_ca_topic_score_codex":0.00002365545,"about_ca_topic_score_gemma":0.000005409417,"teacher_disagreement_score":0.10050435,"about_ca_system_score_codex":0.000027760496,"about_ca_system_score_gemma":0.000037516416,"threshold_uncertainty_score":0.47824037},"labels":[],"label_agreement":null},{"id":"W2771143151","doi":"10.1186/s12014-017-9176-7","title":"Random and independent sampling of endogenous tryptic peptides from normal human EDTA plasma by liquid chromatography micro electrospray ionization and tandem mass spectrometry","year":2017,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Integrated BioBank of Luxembourg","keywords":"Chemistry; Chromatography; Electrospray ionization; Tandem mass spectrometry; Mass spectrometry; Liquid chromatography–mass spectrometry","score_opus":0.033453248857803985,"score_gpt":0.316959850123537,"score_spread":0.283506601265733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771143151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91108924,0.00030698066,0.087327,0.00008508026,0.000025050762,0.0005284014,0.00013556842,0.00007557096,0.00042712202],"genre_scores_gemma":[0.8554427,0.0010853969,0.14302692,0.000026051664,0.00016411186,0.00008962166,0.0000946553,0.00004034439,0.00003020924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980924,0.000030678297,0.00084698165,0.00056695053,0.00016062564,0.00030237276],"domain_scores_gemma":[0.99798214,0.00024011724,0.00086648605,0.0006707251,0.000081384955,0.00015914312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037499602,0.00025296668,0.0005519023,0.00005122795,0.0006141767,0.00013872085,0.0004143659,0.00036969504,0.000037609316],"category_scores_gemma":[0.00026285375,0.00026008752,0.00013414369,0.000059569258,0.00047018772,0.00016713966,0.00021255744,0.00055411307,0.0000014360708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024253395,0.000112238304,0.03275049,0.00005045439,0.000073330746,0.0000015111692,0.000026297164,0.0000025807547,0.96609485,0.00028778246,0.000016601438,0.0003413546],"study_design_scores_gemma":[0.0027905765,0.00023508919,0.0015874174,0.0000890452,0.00008552294,0.000013494762,0.000027363998,0.0001918587,0.98681796,0.0076935766,0.00015152054,0.00031655858],"about_ca_topic_score_codex":0.00006825381,"about_ca_topic_score_gemma":0.000009276957,"teacher_disagreement_score":0.05569992,"about_ca_system_score_codex":0.000036970243,"about_ca_system_score_gemma":0.000040335137,"threshold_uncertainty_score":0.99998516},"labels":[],"label_agreement":null},{"id":"W2771223656","doi":"10.1186/s12014-017-9174-9","title":"The proteins cleaved by endogenous tryptic proteases in normal EDTA plasma by C18 collection of peptides for liquid chromatography micro electrospray ionization and tandem mass spectrometry","year":2017,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fonds National de la Recherche Luxembourg; Integrated BioBank of Luxembourg","keywords":"Chemistry; Tandem mass spectrometry; Chromatography; Proteome; Mass spectrometry; Electrospray ionization; Blood proteins; Incubation; Proteomics; Biochemistry; Gene","score_opus":0.02239013524629522,"score_gpt":0.3008199798859065,"score_spread":0.27842984463961123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771223656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9237975,0.00026480868,0.07102635,0.00047833004,0.000032618293,0.0037371241,0.00016826583,0.00008511719,0.0004099294],"genre_scores_gemma":[0.8831896,0.0013669644,0.112333074,0.000027249424,0.00012657851,0.002563132,0.000075459844,0.00005864837,0.00025927668],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99799603,0.000046890324,0.00090104964,0.0005020542,0.00015004743,0.00040394615],"domain_scores_gemma":[0.9978248,0.0003177649,0.0009593557,0.00065270194,0.00014080037,0.00010456806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058469694,0.00024611293,0.00041004008,0.000052024,0.0009330623,0.00013082378,0.0005042596,0.00033905832,0.0000072936978],"category_scores_gemma":[0.0008034891,0.00021745029,0.00016167166,0.00015877749,0.00051044545,0.00016504858,0.00010166611,0.0004561702,8.790529e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007166615,0.00026603715,0.008378831,0.00010679882,0.000043350665,4.6726424e-7,0.000018035042,0.000002460033,0.98895866,0.00038819897,0.0004066297,0.0007138768],"study_design_scores_gemma":[0.0015528358,0.00069221394,0.00025395933,0.000081120816,0.000033009954,0.0000087529315,0.00003589149,0.0006508664,0.9911395,0.0039004572,0.0013906694,0.00026073583],"about_ca_topic_score_codex":0.00004568293,"about_ca_topic_score_gemma":0.000025320314,"teacher_disagreement_score":0.041306727,"about_ca_system_score_codex":0.00009120656,"about_ca_system_score_gemma":0.00011124606,"threshold_uncertainty_score":0.8867365},"labels":[],"label_agreement":null},{"id":"W2772469707","doi":"10.4018/ijcini.2017100103","title":"NBPMF","year":2017,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Matching (statistics); Inference; Function (biology); Filter (signal processing); Bipartite graph; Probability mass function; Mass spectrometry; Data mining; Algorithm; Artificial intelligence; Probability density function; Statistics; Chromatography; Theoretical computer science; Mathematics; Chemistry","score_opus":0.019542770425989408,"score_gpt":0.34768188375839076,"score_spread":0.32813911333240137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772469707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69035304,0.0006324525,0.2787901,0.0007876863,0.00055346254,0.00009952438,0.00006635147,0.000025403213,0.028691992],"genre_scores_gemma":[0.982795,0.0011088626,0.015581571,0.00014429651,0.00016179505,0.000003154298,0.0000047415547,0.000004778642,0.00019578598],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921054,0.0000021154817,0.00043034923,0.00004326831,0.00023038345,0.00008335933],"domain_scores_gemma":[0.99804616,0.0001230858,0.00081745605,0.000097566095,0.0008617194,0.00005398831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011850142,0.000084593186,0.000111483285,0.000059324047,0.00013887584,0.00020438863,0.0005537681,0.000043765252,0.000092575574],"category_scores_gemma":[0.00041637124,0.00006798881,0.00006415705,0.000013325162,0.00015291502,0.0006124195,0.00013952988,0.0002867692,0.0000069360176],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028327788,0.00007954138,0.0030731251,0.000037508926,0.0002589283,0.000038402653,0.0010458936,0.000023062954,0.00461419,0.025715744,0.00014493805,0.9646854],"study_design_scores_gemma":[0.0010394792,0.00014748269,0.0021796592,0.0018317886,0.00008873092,0.0013501395,0.003108298,0.01280845,0.8586944,0.09979527,0.018329713,0.00062659517],"about_ca_topic_score_codex":0.0000046166897,"about_ca_topic_score_gemma":0.0000011894142,"teacher_disagreement_score":0.9640588,"about_ca_system_score_codex":0.000023882514,"about_ca_system_score_gemma":0.000026044461,"threshold_uncertainty_score":0.27725032},"labels":[],"label_agreement":null},{"id":"W2773610445","doi":"10.1186/s40168-017-0375-2","title":"MetaLab: an automated pipeline for metaproteomic data analysis","year":2017,"lang":"en","type":"article","venue":"Microbiome","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Genomics; Genome Canada","keywords":"Metaproteomics; Metagenomics; Profiling (computer programming); Biology; Computational biology; Identification (biology); Pipeline (software); Computer science; Software; Bioinformatics; Data mining; Ecology; Genetics","score_opus":0.053551769787103624,"score_gpt":0.383271716526838,"score_spread":0.32971994673973437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773610445","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20672688,0.00017920008,0.7760613,0.0012533168,0.000055076223,0.0009045774,0.0108984625,0.0021461744,0.0017750055],"genre_scores_gemma":[0.4919289,0.000021040996,0.49714595,0.00008033936,0.00012240857,0.00027462837,0.006664949,0.000050999828,0.0037107568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882025,0.0000059793692,0.00027370645,0.0005981263,0.000054283344,0.0002476589],"domain_scores_gemma":[0.99571705,0.000017195433,0.00029918333,0.0038116686,0.00007887912,0.000076002085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022291474,0.00017216307,0.00031027125,0.000091889895,0.0004895476,0.00017946903,0.0017871715,0.00011350752,0.00025665457],"category_scores_gemma":[0.00004827494,0.00016544873,0.00013198223,0.00013216096,0.00009832679,0.00035239226,0.00040031734,0.00009120165,0.000022300172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012734887,0.00006805761,0.000063082385,0.00002409142,0.00024285133,6.8655066e-7,0.000007733365,0.000012944437,0.99540704,0.00020242811,0.00213565,0.001822697],"study_design_scores_gemma":[0.00038658973,0.000007330918,0.00004066733,0.000006023866,0.0008319791,0.0000040574414,0.000007937745,0.08536246,0.84399253,0.0009161913,0.068164065,0.00028015586],"about_ca_topic_score_codex":0.0001249312,"about_ca_topic_score_gemma":0.00005728247,"teacher_disagreement_score":0.28520203,"about_ca_system_score_codex":0.000042367497,"about_ca_system_score_gemma":0.00003068738,"threshold_uncertainty_score":0.67468035},"labels":[],"label_agreement":null},{"id":"W2773943265","doi":"10.1093/bioinformatics/btx807","title":"Computational identification of micro-structural variations and their proteogenomic consequences in cancer","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"National Cancer Institute; National Institutes of Health; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Indiana University","keywords":"Identification (biology); Computer science; Computational biology; Proteogenomics; Artificial intelligence; Biology; Genetics; Genome; Genomics; Gene","score_opus":0.02001339280471797,"score_gpt":0.2992022984635289,"score_spread":0.27918890565881094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773943265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542365,0.00006575264,0.04385004,0.00037881316,0.000019525749,0.0002769761,0.00035927357,0.000027899232,0.00078518613],"genre_scores_gemma":[0.92530775,0.00005204685,0.07445603,0.0000116205665,0.0000118092485,0.000088457804,0.000033441927,0.0000042543647,0.00003458227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994761,0.0000023131731,0.000333535,0.00006858171,0.00004492552,0.000074561154],"domain_scores_gemma":[0.9992485,0.00002261987,0.0004368727,0.0002173986,0.00005488465,0.000019747757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006595809,0.00006847034,0.0000943299,0.000031315536,0.00017818857,0.000052915748,0.0001750141,0.000047646387,0.00002127345],"category_scores_gemma":[0.000028847466,0.000060223385,0.00001772836,0.000024027111,0.00018693443,0.0001932305,0.000049649072,0.00006210293,0.0000012128432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025438283,0.00004731746,0.03300836,0.00062841485,0.000049235106,3.5105373e-7,0.00358634,0.0027189574,0.87237865,0.052890938,0.000047078778,0.034618914],"study_design_scores_gemma":[0.00050048553,0.000009754301,0.017680164,0.00010817674,0.000012284458,0.000013158134,0.00038226685,0.21843448,0.68826157,0.07407603,0.00027067956,0.00025095258],"about_ca_topic_score_codex":0.00008265275,"about_ca_topic_score_gemma":0.000015610542,"teacher_disagreement_score":0.21571553,"about_ca_system_score_codex":0.000033783082,"about_ca_system_score_gemma":0.00005474181,"threshold_uncertainty_score":0.24558383},"labels":[],"label_agreement":null},{"id":"W2773957467","doi":"10.1016/j.jprot.2017.12.004","title":"A mass spectrometry based method and a software tool to assess degradation status of serum samples to be used in proteomics for biomarker discovery","year":2017,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Health, British Columbia","keywords":"Biomarker discovery; Proteomics; Biomarker; Mass spectrometry; Degradation (telecommunications); Chromatography; Chemistry; Computational biology; Biology; Computer science; Biochemistry","score_opus":0.0740549420837858,"score_gpt":0.37297122701011876,"score_spread":0.29891628492633293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773957467","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4504097,0.000009142165,0.5476435,0.00068544643,0.000015916276,0.0008442782,0.00037273398,0.000009343138,0.000009971261],"genre_scores_gemma":[0.20162508,0.000022679955,0.7978476,0.00007786668,0.000052325824,0.00028483072,0.000009374683,0.000036950132,0.00004326632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983441,0.000026823376,0.00073830655,0.00028461334,0.00024507602,0.00036104198],"domain_scores_gemma":[0.9977809,0.00019420609,0.0010499338,0.00054038846,0.00026032285,0.00017421119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078116934,0.00021335566,0.00048464106,0.0002647377,0.00016317697,0.00019118632,0.00044686618,0.00015342848,0.000011146275],"category_scores_gemma":[0.0015498673,0.00020203971,0.00013585284,0.00015123888,0.000044797845,0.00047035035,0.00011885935,0.0002629774,1.6924719e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054363656,0.00009313512,0.026292695,0.00022810017,0.000034721827,0.0000025753707,0.000063009065,0.00030380674,0.96774715,0.00070041185,0.000027202557,0.0039635804],"study_design_scores_gemma":[0.0013766502,0.0002007585,0.008280572,0.00025734602,0.000040972736,0.000011381152,0.00008098308,0.0009943031,0.9757234,0.012351224,0.00040784822,0.00027457566],"about_ca_topic_score_codex":0.00004481284,"about_ca_topic_score_gemma":0.00004068945,"teacher_disagreement_score":0.25020418,"about_ca_system_score_codex":0.00028312695,"about_ca_system_score_gemma":0.00030248685,"threshold_uncertainty_score":0.823894},"labels":[],"label_agreement":null},{"id":"W2774960599","doi":"10.1007/7651_2017_112","title":"Multiple Reaction Monitoring Using Double Isotopologue Peptide Standards for Protein Quantification","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; University of Victoria","funders":"Genome British Columbia; Genome Canada","keywords":"Selected reaction monitoring; Chemistry; Isotopologue; Quantitative proteomics; Mass spectrometry; Chromatography; Tandem mass spectrometry; Proteomics; Spectrum analyzer; Fragmentation (computing); Peptide; Analytical Chemistry (journal); Computer science; Biochemistry","score_opus":0.08689450749584249,"score_gpt":0.4841232885298692,"score_spread":0.3972287810340267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774960599","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18872188,0.000053916017,0.81019205,0.00008980275,0.000056913414,0.00045604806,0.000035669585,0.000052988926,0.0003407497],"genre_scores_gemma":[0.18817405,0.000013675492,0.8107947,0.000004318541,0.00006730429,0.0008305754,0.000026446229,0.000021905962,0.00006700843],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990558,0.000055233228,0.00025504013,0.00036305145,0.000048525773,0.0002223607],"domain_scores_gemma":[0.9988186,0.000053558848,0.00028424413,0.0007005138,0.00011342267,0.000029667257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008175352,0.00012409592,0.00018539654,0.000051232484,0.00029566814,0.000032444637,0.00028993707,0.00023062929,0.0000053197964],"category_scores_gemma":[0.000522817,0.00013189577,0.000067211346,0.000037178004,0.0001109995,0.0000604077,0.000083690225,0.00018397758,3.8939376e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007038427,0.000022157212,0.0020203933,0.000031964082,0.000007766906,6.140021e-7,0.000013409588,0.000039661187,0.98307073,0.0055239187,8.8913356e-7,0.0091981385],"study_design_scores_gemma":[0.00047379688,0.000016270387,0.000038535596,0.000037997223,0.000008063813,0.0000024338538,0.00002818053,0.0018863834,0.9648472,0.027614346,0.0049078534,0.00013893144],"about_ca_topic_score_codex":0.0002794546,"about_ca_topic_score_gemma":0.0000105054905,"teacher_disagreement_score":0.022090426,"about_ca_system_score_codex":0.00016547999,"about_ca_system_score_gemma":0.000048522135,"threshold_uncertainty_score":0.5378553},"labels":[],"label_agreement":null},{"id":"W2775612596","doi":"10.1021/acs.jproteome.7b00734","title":"Progress and Future Direction of Chromosome-Centric Human Proteome Project","year":2017,"lang":"en","type":"editorial","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Human proteome project; Proteome; Computational biology; Human disease; Computer science; Data science; Biology; Bioinformatics; Proteomics; Genetics; Gene","score_opus":0.0399798219330017,"score_gpt":0.42398255907248233,"score_spread":0.38400273713948063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775612596","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21332504,0.069019824,0.0018754648,0.008838801,0.59234595,0.06567815,0.0057389266,0.0010563793,0.042121448],"genre_scores_gemma":[0.0042805523,0.008551019,0.019298526,9.945845e-7,0.9600252,0.002329829,0.00012262445,0.00021555134,0.005175695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99518013,0.00015553224,0.0011064566,0.00053083204,0.0023930848,0.0006339823],"domain_scores_gemma":[0.9931051,0.000214506,0.002482007,0.00093290926,0.0030602305,0.0002052427],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0026764795,0.00039109186,0.00094713725,0.0008163053,0.0006961137,0.00025958935,0.0013469354,0.0012873879,0.0000885969],"category_scores_gemma":[0.0007918068,0.00032618694,0.0002571434,0.00043641863,0.00065287156,0.00035129942,0.00045057034,0.0047299587,0.0000024265055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080288766,0.0010145261,0.00022838109,0.009786921,0.00043318968,0.00014899691,0.00034527393,5.300862e-7,0.34236637,0.00021294496,0.61682427,0.027835708],"study_design_scores_gemma":[0.0009825696,0.0006540977,0.000021909116,0.0015819985,0.00005717997,0.000067360554,0.00006422511,0.0000054145853,0.1028768,0.002037241,0.8913207,0.000330502],"about_ca_topic_score_codex":0.000052069878,"about_ca_topic_score_gemma":0.000005077666,"teacher_disagreement_score":0.36767924,"about_ca_system_score_codex":0.00047526945,"about_ca_system_score_gemma":0.0014091862,"threshold_uncertainty_score":0.999919},"labels":[],"label_agreement":null},{"id":"W2781715841","doi":"10.1016/j.jasms.2007.09.014","title":"Erratum to: Peptide shifter: Enhancing separation reproducibility using correlated expression profiles","year":2007,"lang":"en","type":"erratum","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Library science; Computer science; Chemistry","score_opus":0.018506543415216847,"score_gpt":0.3308799676831816,"score_spread":0.31237342426796477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781715841","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22121763,0.0012435586,0.7639437,0.0015593775,0.0051437495,0.0016374476,0.00032892288,0.00022683499,0.004698799],"genre_scores_gemma":[0.032312237,0.00045333878,0.9271281,0.00061389094,0.0053390153,0.00008381346,0.00009120278,0.00022206105,0.033756364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966758,0.00003717792,0.001226411,0.00085127784,0.0006655319,0.0005438184],"domain_scores_gemma":[0.99340856,0.00016170325,0.0040825447,0.0016753612,0.0004959375,0.000175869],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015200938,0.00045077337,0.00092926563,0.00013233368,0.00042036726,0.00008652955,0.0009599496,0.00039073327,0.000050892242],"category_scores_gemma":[0.00057674065,0.0003521191,0.001711512,0.0010392957,0.00022878876,0.00016672544,0.00022718807,0.0023420104,0.0000014310825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011329974,0.000066584726,0.00012442446,0.00015145108,0.00013817647,0.0000010403203,0.00014211384,0.00009682368,0.7141028,0.000010796839,0.2848705,0.0001819862],"study_design_scores_gemma":[0.00035969762,0.00027829007,0.00015950222,0.001316983,0.00043793602,0.000092775284,0.0011995292,0.0006204161,0.9254462,0.0051290574,0.06420438,0.00075520796],"about_ca_topic_score_codex":0.000023756442,"about_ca_topic_score_gemma":0.000002779835,"teacher_disagreement_score":0.22066613,"about_ca_system_score_codex":0.0014606307,"about_ca_system_score_gemma":0.0004434314,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W2783734426","doi":"10.1074/mcp.ra117.000574","title":"Cross-species Comparison of Proteome Turnover Kinetics","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Institute of General Medical Sciences; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Proteome; Protein turnover; Kinetics; Proteomics; Biology; Biochemistry; Computational biology; Cell biology; Chemistry; Protein biosynthesis; Gene","score_opus":0.016889784934272355,"score_gpt":0.2968825017099803,"score_spread":0.279992716775708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783734426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65929323,0.00012555179,0.33203757,0.00006150467,0.000029212035,0.0005281314,0.000045280143,0.00012946979,0.0077500725],"genre_scores_gemma":[0.81194276,0.000007429669,0.18619291,0.000035779514,0.00015106125,0.00025530718,0.000061488805,0.00007330649,0.0012799497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980481,0.0000203262,0.00066588254,0.0005007014,0.00035126263,0.00041369302],"domain_scores_gemma":[0.9980503,0.000018930523,0.0004278739,0.0010146548,0.0003721192,0.00011612761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013689922,0.0003134774,0.00039810908,0.000071630515,0.00014179134,0.00006803354,0.0006014776,0.00028756348,0.00063537783],"category_scores_gemma":[0.00007509791,0.00033093314,0.00018298853,0.00025195983,0.00056433666,0.000080918326,0.00025656485,0.0003586578,0.000044473745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004396637,0.0002072396,0.0016999634,0.000108822045,0.00002899799,0.00000458961,0.00012349596,0.00007639266,0.9920814,0.0052100867,0.00004463752,0.00037040134],"study_design_scores_gemma":[0.0003726123,0.0001065261,0.00006454903,0.00005259003,0.000025440284,0.0000051710167,0.000023525905,0.0009241373,0.98173606,0.004099167,0.012236905,0.00035330543],"about_ca_topic_score_codex":0.000015691654,"about_ca_topic_score_gemma":0.000003310108,"teacher_disagreement_score":0.15264954,"about_ca_system_score_codex":0.00009240716,"about_ca_system_score_gemma":0.000047884485,"threshold_uncertainty_score":0.9999143},"labels":[],"label_agreement":null},{"id":"W2784012491","doi":"10.1007/978-1-4939-7595-2_2","title":"Identification of Protease Cleavage Sites and Substrates in Cancer by Carboxy-TAILS (C-TAILS)","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Proteases; Cleavage (geology); Protease; Computational biology; Chemistry; Trypsin; Shotgun proteomics; Proteomics; Enzyme; Peptide; Biochemistry; Proteolysis; Biology","score_opus":0.02190985623847888,"score_gpt":0.4150358924394263,"score_spread":0.39312603620094744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784012491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63608956,0.00076395634,0.3625276,0.00008553448,0.00000806614,0.00020822092,0.0000340846,0.00002019779,0.00026277654],"genre_scores_gemma":[0.59401554,0.00016675057,0.40525967,0.00003630776,0.000014416685,0.0004287446,0.000021274012,0.00001357177,0.000043699987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990252,0.00012298887,0.0003394933,0.00031342063,0.000031450294,0.0001674438],"domain_scores_gemma":[0.9994351,0.00006329893,0.000157237,0.000271552,0.000043869848,0.00002890102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042661896,0.00010673429,0.00018694386,0.000065537155,0.000023062727,0.0000064839296,0.00015034617,0.00017131452,0.00003375516],"category_scores_gemma":[0.00014148785,0.00010869997,0.000023171693,0.00017633781,0.00024342177,0.000024832507,0.000055762255,0.00014710042,5.9381034e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013765339,0.000035712885,0.014008616,0.000034780118,0.0000052520836,7.4252097e-7,0.000053733085,0.0000020619896,0.9769367,0.0016229427,0.000007725153,0.0072779567],"study_design_scores_gemma":[0.00015359656,0.000022431623,0.00023678422,0.00001836238,0.000005503124,0.0000011038819,0.000030345831,0.0003691349,0.9721937,0.026546879,0.00031730966,0.0001048327],"about_ca_topic_score_codex":0.00022605184,"about_ca_topic_score_gemma":0.000046167064,"teacher_disagreement_score":0.042732075,"about_ca_system_score_codex":0.000034458197,"about_ca_system_score_gemma":0.000019975447,"threshold_uncertainty_score":0.44326562},"labels":[],"label_agreement":null},{"id":"W2785428883","doi":"10.1016/j.cels.2017.12.004","title":"Unification of Protein Abundance Datasets Yields a Quantitative Saccharomyces cerevisiae Proteome","year":2018,"lang":"en","type":"review","venue":"Cell Systems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":551,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute","keywords":"Proteome; Abundance (ecology); Saccharomyces cerevisiae; Biology; Eukaryote; Proteomics; Computational biology; Protein biosynthesis; Messenger RNA; Function (biology); Yeast; Quantitative proteomics; Cell biology; Genetics; Gene; Ecology; Genome","score_opus":0.05615227228850884,"score_gpt":0.34567317958131555,"score_spread":0.2895209072928067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785428883","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020886018,0.98030233,0.008257333,0.0000057993343,0.00004791018,0.0039092307,0.0028521575,0.000155113,0.0044492353],"genre_scores_gemma":[0.00022004472,0.97509277,0.012961364,0.0000014131389,0.00022344153,0.006809559,0.0023018129,0.00010853617,0.0022810851],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973871,0.00008955901,0.0012346433,0.00073988293,0.00025843276,0.0002903892],"domain_scores_gemma":[0.9959008,0.00010904466,0.0022052266,0.0015237527,0.00016863886,0.0000925435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032673837,0.00048753707,0.0014351908,0.00010740705,0.000119437806,0.000064993306,0.00091886707,0.00051655,0.00009067471],"category_scores_gemma":[0.000053056694,0.00042323026,0.00026276562,0.00035845875,0.0001627992,0.00012281994,0.0001360113,0.00041958352,0.0001486298],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039977032,0.0006564871,0.0000025164472,0.79410475,0.00043267614,0.000010765337,0.0002866124,0.0000066481985,0.030109849,0.03309061,0.0065722135,0.13468689],"study_design_scores_gemma":[0.00007557857,0.00004200118,2.1863698e-8,0.025064005,0.00015276474,0.000009675474,0.000045228287,0.00002714762,0.008258079,0.00018440491,0.9657223,0.0004187819],"about_ca_topic_score_codex":0.00008596933,"about_ca_topic_score_gemma":0.0000016931509,"teacher_disagreement_score":0.9591501,"about_ca_system_score_codex":0.00014971955,"about_ca_system_score_gemma":0.00020381823,"threshold_uncertainty_score":0.99982196},"labels":[],"label_agreement":null},{"id":"W2787709328","doi":"10.1101/247718","title":"Integration and analysis of CPTAC proteomics data in the context of cancer genomics in the cBioPortal","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Human Genome Research Institute; School of Medicine, New York University; York University; Leidos","keywords":"Context (archaeology); Genomics; Proteomics; Biology; Proteogenomics; Epigenomics; Computational biology; Data curation; DNA methylation; Bioinformatics; Genome; Genetics; Computer science; World Wide Web; Gene","score_opus":0.02487294021879934,"score_gpt":0.28506453784247504,"score_spread":0.2601915976236757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787709328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909079,0.0004817378,0.0054655517,0.00024243674,0.000021600757,0.00076483237,0.0020828035,0.000022284157,0.000010871095],"genre_scores_gemma":[0.98428553,0.00105318,0.0139054665,0.00007160635,0.00007696319,0.00056927215,0.000010594646,0.000026806034,5.739394e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983814,0.000053722677,0.0006430448,0.000542531,0.000199695,0.00017963498],"domain_scores_gemma":[0.99692166,0.000081905644,0.0007050305,0.0020725871,0.00019161499,0.000027222715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008308389,0.00024147813,0.00045571162,0.00022848934,0.000047505444,0.0000483528,0.0012959171,0.00028388333,0.000013179856],"category_scores_gemma":[0.00013005441,0.00018026405,0.000073955176,0.0008111396,0.00023500885,0.00008010519,0.00043290155,0.0005470268,2.622916e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003459231,0.00016045907,0.039742973,0.00024282814,0.00023135573,0.0000024060328,0.00019896642,0.000055438566,0.95662385,0.0026554582,0.000022382532,0.000029301364],"study_design_scores_gemma":[0.00033302663,0.000019416982,0.053399455,0.00034741507,0.000627703,1.2968932e-8,0.000175646,0.010075938,0.9336139,0.000072108254,0.0009040178,0.0004313406],"about_ca_topic_score_codex":0.0010499667,"about_ca_topic_score_gemma":0.00037982233,"teacher_disagreement_score":0.023009919,"about_ca_system_score_codex":0.00013147626,"about_ca_system_score_gemma":0.0003242002,"threshold_uncertainty_score":0.7350955},"labels":[],"label_agreement":null},{"id":"W2789506323","doi":"10.1007/978-1-4939-7765-9_9","title":"Proteomics Analysis of Colorectal Cancer Cells","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Colorectal cancer; Proteomics; Cancer; Medicine; Computational biology; Cancer research; Biology; Internal medicine; Genetics; Gene","score_opus":0.01753891654872043,"score_gpt":0.4194195729604585,"score_spread":0.4018806564117381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789506323","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24055007,0.0000601635,0.7578876,0.000028752556,0.000016157634,0.00010128253,0.00003755578,0.000022315951,0.0012960837],"genre_scores_gemma":[0.04163599,0.000043954235,0.9579105,0.00005226741,0.000017554143,0.00027650187,0.000015555703,0.000011659405,0.00003603454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919605,0.00008621188,0.00025646694,0.00026375134,0.000030427407,0.00016710082],"domain_scores_gemma":[0.999428,0.0000647208,0.00014002509,0.00027320592,0.00006814319,0.000025901356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741258,0.00009627266,0.00028740527,0.0001399896,0.000022800346,0.000002493172,0.00021536161,0.00017575546,0.00028516195],"category_scores_gemma":[0.0000564581,0.000093636045,0.00010152714,0.00058058236,0.00022163971,0.000008122329,0.00008587073,0.00012773223,9.516912e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016983908,0.000026285732,0.0021620588,0.0000074386053,0.000115465526,5.416862e-7,0.00003454355,0.00008778591,0.9896954,0.0033999544,0.0000023858531,0.004451121],"study_design_scores_gemma":[0.00008552891,0.000024982533,0.0000464002,0.0000048316792,0.00009490449,3.568697e-7,0.000008230131,0.0029065828,0.9861637,0.009787468,0.00078026816,0.00009677982],"about_ca_topic_score_codex":0.00012153039,"about_ca_topic_score_gemma":0.000035177713,"teacher_disagreement_score":0.20002286,"about_ca_system_score_codex":0.000043289758,"about_ca_system_score_gemma":0.00002730969,"threshold_uncertainty_score":0.3818367},"labels":[],"label_agreement":null},{"id":"W2789873979","doi":"10.1093/jcag/gwy008.257","title":"A256 DETERMINATION OF PROTEOMIC SIGNATURE OF RESPONSE TO NEOADJUVANT RADIO-CHEMOTHERAPY IN COLORECTAL CANCER PATIENTS","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Medicine; Colorectal cancer; Chemotherapy; Oncology; Radiation therapy; Grading (engineering); Lymph node; Concomitant; Stage (stratigraphy); Internal medicine; Biopsy; Cancer; Surgery; Radiology","score_opus":0.004082168437962983,"score_gpt":0.24487572196908566,"score_spread":0.24079355353112267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789873979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624497,0.0000037673135,0.000249723,0.0030281672,0.000073111645,0.00024928735,0.00011898896,0.0000018437679,0.00003013164],"genre_scores_gemma":[0.99609524,0.0000064341675,0.003572775,0.00017685167,0.000048244354,0.000024512072,0.0000018921814,0.000010690295,0.000063360785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998903,0.0001030558,0.00054936344,0.00008364165,0.0001836571,0.00017731245],"domain_scores_gemma":[0.99765676,0.000052789746,0.0015208916,0.00010861967,0.00058426795,0.00007666868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047555202,0.00008052337,0.0002736352,0.00019848965,0.000035527937,0.0000032020705,0.0002905015,0.00014398232,0.000047013473],"category_scores_gemma":[0.0002973843,0.000070387556,0.00009487726,0.00013923662,0.000062511994,0.00004781212,0.000020602545,0.00020895115,2.0918613e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019189593,0.00007326229,0.4489904,0.000014117452,0.00003201274,4.0689918e-7,0.00040118684,0.000054631786,0.54741645,0.0000111095915,0.00043675886,0.000650684],"study_design_scores_gemma":[0.0023472563,0.0010902899,0.40872037,0.00017713003,0.000027850823,0.000005386837,0.000034131222,0.00012406659,0.58634675,0.00045848158,0.00059858005,0.00006971509],"about_ca_topic_score_codex":0.0015090454,"about_ca_topic_score_gemma":0.0470254,"teacher_disagreement_score":0.045516357,"about_ca_system_score_codex":0.0011324299,"about_ca_system_score_gemma":0.00026197173,"threshold_uncertainty_score":0.9703639},"labels":[],"label_agreement":null},{"id":"W2790398313","doi":"10.1016/j.jprot.2018.02.026","title":"SWATH mass spectrometry as a tool for quantitative profiling of the matrisome","year":2018,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Cancer Research; Breast Cancer Now","keywords":"Extracellular matrix; Proteome; Computational biology; Biology; Proteomics; Mass spectrometry; Quantitative proteomics; Chemistry; Cell biology; Bioinformatics; Biochemistry; Chromatography","score_opus":0.01930814074479629,"score_gpt":0.3220978717016603,"score_spread":0.302789730956864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790398313","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53673136,0.000043395117,0.4618251,0.00030704288,0.000043885546,0.00039787928,0.000034142966,0.000011209929,0.00060597353],"genre_scores_gemma":[0.23864712,0.000027833627,0.76076436,0.000029989382,0.00025276243,0.000048563794,8.7526854e-7,0.000020058516,0.0002084141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990063,0.00001088796,0.00052850065,0.00011375912,0.0001785846,0.00016202098],"domain_scores_gemma":[0.9981951,0.00008417108,0.0009795128,0.0002633654,0.00044157045,0.000036248657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033762993,0.00010966374,0.00022932813,0.000058929152,0.00010768488,0.000019199557,0.00040706847,0.00009197854,0.000042354764],"category_scores_gemma":[0.00032460716,0.000077090684,0.0002050808,0.00017415623,0.00012131501,0.000108780725,0.00005228946,0.00027518265,0.0000025935794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017842758,0.000043135748,0.000497684,0.00007364793,0.000036011472,4.5997348e-7,0.00007977305,0.000013465529,0.9739136,0.024980457,0.00007394843,0.00010935297],"study_design_scores_gemma":[0.00035064752,0.00021943466,0.000020666123,0.00008669864,0.00003082494,0.000031782627,0.00014169505,0.00026770448,0.8975803,0.10067004,0.0005156002,0.00008459081],"about_ca_topic_score_codex":0.0000019880795,"about_ca_topic_score_gemma":3.1939058e-7,"teacher_disagreement_score":0.2989393,"about_ca_system_score_codex":0.00009621558,"about_ca_system_score_gemma":0.00015261698,"threshold_uncertainty_score":0.3143667},"labels":[],"label_agreement":null},{"id":"W2790587689","doi":"10.1016/j.jprot.2018.02.021","title":"Advancing translational research and precision medicine with targeted proteomics","year":2018,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Proteomics; Proteome; Computational biology; Biomarker discovery; Precision medicine; Biomarker; Quantitative proteomics; Protein expression; Personalized medicine; Computer science; Biology; Data science; Bioinformatics; Genetics","score_opus":0.07165340923359437,"score_gpt":0.4149091992654233,"score_spread":0.34325579003182893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790587689","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023483997,0.8863611,0.11065388,0.00025980358,0.000045538003,0.0016976444,0.00006164156,0.000038615377,0.0006469039],"genre_scores_gemma":[0.0000078255225,0.6153331,0.3833713,0.000005345229,0.00079816894,0.00018257821,0.000027285263,0.00007836876,0.0001960811],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967347,0.000089655165,0.0014827962,0.00046099152,0.0007893677,0.00044249865],"domain_scores_gemma":[0.9959828,0.00041906186,0.0017203542,0.00049922056,0.0011226924,0.00025586656],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019062693,0.0004534906,0.0014914173,0.00043580084,0.00028874062,0.000060025497,0.0006488869,0.0005177959,0.00012954578],"category_scores_gemma":[0.0003185112,0.00030340417,0.00018795872,0.0004922298,0.0005430272,0.00024612065,0.000118396136,0.0020872517,0.0000044279773],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015864904,0.00061818096,0.000044265562,0.043160535,0.00097075995,0.00012879858,0.00074714865,0.000033980632,0.021231093,0.004587579,0.004360256,0.9225309],"study_design_scores_gemma":[0.0008064735,0.00095977023,4.5764597e-7,0.033577748,0.00032565676,0.0011792992,0.000054745477,0.000050989314,0.0049842917,0.019221105,0.9383554,0.00048407173],"about_ca_topic_score_codex":0.000004584273,"about_ca_topic_score_gemma":0.0000035473572,"teacher_disagreement_score":0.9339951,"about_ca_system_score_codex":0.0002752625,"about_ca_system_score_gemma":0.0007625491,"threshold_uncertainty_score":0.9999418},"labels":[],"label_agreement":null},{"id":"W2790875553","doi":"10.2210/pdb1x9b/pdb","title":"Solution NMR Structure of Protein Ta0354 from Thermoplasma acidophilum. Ontario Center for Structural Proteomics target TA0354_69_121; Northeast Structural Genomics Consortium Target TaT38.","year":2004,"lang":"en","type":"paratext","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermoplasma acidophilum; Structural genomics; Proteomics; Computational biology; Genomics; Center (category theory); Biology; Chemistry; Protein structure; Genetics; Crystallography; Biochemistry; Genome; Gene","score_opus":0.00972200921709369,"score_gpt":0.2431900002519382,"score_spread":0.23346799103484453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790875553","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81988686,0.00055627816,0.082583934,0.0002852263,0.0007527686,0.009220077,0.08082771,0.0003575596,0.0055295615],"genre_scores_gemma":[0.39011908,0.000043357784,0.55250055,0.00009761035,0.0011858414,0.0013589315,0.036907822,0.00039604673,0.01739075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99429697,0.00004409416,0.0019567234,0.0018477683,0.0005867723,0.0012676797],"domain_scores_gemma":[0.9950173,0.000064495616,0.0022540581,0.0017030031,0.0006157556,0.0003453974],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00008660766,0.0016396723,0.0017888149,0.00018684586,0.00055631786,0.00017090164,0.001493669,0.0019220997,0.012467665],"category_scores_gemma":[0.000036306556,0.0015267123,0.0007772482,0.00019519332,0.00051319896,0.00034355873,0.00044061412,0.0019313109,0.00006511095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014286783,0.00014543813,0.00091330183,0.0014286799,0.00090291427,0.0000058830105,0.000874389,0.0073006083,0.97934496,0.0020539945,0.0050772936,0.0005238434],"study_design_scores_gemma":[0.0032717485,0.00015617168,0.00007213779,0.0004228144,0.00018527369,0.00004951671,0.00010819247,0.0021529696,0.88205314,0.055732753,0.05354437,0.0022509429],"about_ca_topic_score_codex":0.008838183,"about_ca_topic_score_gemma":0.0070591276,"teacher_disagreement_score":0.46991664,"about_ca_system_score_codex":0.002051649,"about_ca_system_score_gemma":0.0017380258,"threshold_uncertainty_score":0.99963504},"labels":[],"label_agreement":null},{"id":"W2791920211","doi":"10.1007/7651_2017_75","title":"Identifying Clinically Relevant Proteins for Targeted Analysis in the Development of a Multiplexed Proteomic Biomarker Assay","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomarker discovery; Biomarker; Proteomics; Computational biology; Ranking (information retrieval); Bioinformatics; Medicine; Biology; Computer science; Machine learning; Genetics; Gene","score_opus":0.07208361551455189,"score_gpt":0.47084627276795654,"score_spread":0.39876265725340465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791920211","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13230886,0.000037220565,0.86631304,0.00016129331,0.0000111648205,0.00097144896,0.000016202344,0.000017095233,0.00016366818],"genre_scores_gemma":[0.183925,0.0000073229576,0.81350756,0.000025323248,0.0000065493505,0.002458157,0.000038074955,0.00001373909,0.00001829629],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980452,0.0003597845,0.0008415303,0.0004254258,0.00006805174,0.0002600155],"domain_scores_gemma":[0.9980363,0.0003656104,0.0005875512,0.0009186475,0.00006759517,0.000024243987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042692376,0.00015115217,0.00040801876,0.00015542292,0.00014687963,0.000021821103,0.00081714836,0.00024412207,0.000013605069],"category_scores_gemma":[0.0022181664,0.000117040516,0.00018570872,0.00021577315,0.00015544693,0.000024223067,0.00018511878,0.00023857236,4.1203208e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060279155,0.000084685875,0.007881889,0.000043605636,0.00010346781,0.000001472927,0.00017907172,0.000015345693,0.9720015,0.0007764854,5.3371497e-7,0.018851643],"study_design_scores_gemma":[0.0004900948,0.00001779042,0.0035127394,0.00003151616,0.00005093246,6.976029e-7,0.000042324733,0.0023817362,0.9697599,0.02316965,0.00038571426,0.00015693314],"about_ca_topic_score_codex":0.00005664427,"about_ca_topic_score_gemma":0.00008417776,"teacher_disagreement_score":0.052805513,"about_ca_system_score_codex":0.000050478833,"about_ca_system_score_gemma":0.00007006652,"threshold_uncertainty_score":0.47727737},"labels":[],"label_agreement":null},{"id":"W2792086714","doi":"10.1016/j.ab.2018.02.025","title":"A method for the extraction of the endogenous tryptic peptides (peptidome) from human EDTA plasma","year":2018,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Trypsin; Tandem mass spectrometry; Protein precipitation; Electrospray ionization; Biochemistry; Blood proteins; Mass spectrometry; Enzyme","score_opus":0.03428906792715196,"score_gpt":0.34083667108445986,"score_spread":0.3065476031573079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792086714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8751365,0.00012582881,0.10594386,0.001088118,0.00003827751,0.00042652964,0.00035461984,0.0001306187,0.016755644],"genre_scores_gemma":[0.9602907,0.000012464476,0.037478928,0.00007787459,0.00041141143,0.00013936611,0.000032567226,0.000021487716,0.0015352472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898034,0.000008673875,0.00031834922,0.0003202374,0.00015854082,0.00021383958],"domain_scores_gemma":[0.99835503,0.0004954873,0.00019797252,0.00076834654,0.00012477257,0.000058368052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012239374,0.0001565848,0.00017805761,0.000009606176,0.0003335656,0.000024213994,0.0005221891,0.00017006934,0.00029886048],"category_scores_gemma":[0.00014242761,0.000101309204,0.00022668703,0.00012750487,0.0003442176,0.000026255557,0.000108878914,0.00022728878,0.000006844952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027049784,0.000064937616,0.00013476989,0.00003230066,0.00007604828,2.3457437e-7,0.000028064565,0.0000036000508,0.99609137,0.0011631581,0.0005727268,0.0018057543],"study_design_scores_gemma":[0.0002049651,0.000016857675,0.000028104118,0.000032732525,0.00015902943,0.000011573659,0.00012446802,0.0038914785,0.9845661,0.006386411,0.004452847,0.00012545908],"about_ca_topic_score_codex":0.00011113396,"about_ca_topic_score_gemma":0.000007589096,"teacher_disagreement_score":0.085154146,"about_ca_system_score_codex":0.000056504727,"about_ca_system_score_gemma":0.000042111802,"threshold_uncertainty_score":0.41312695},"labels":[],"label_agreement":null},{"id":"W2792721642","doi":"10.1002/pmic.201700025","title":"Membrane‐Based SDS Depletion Ahead of Peptide and Protein Analysis by Mass Spectrometry","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chromatography; Chemistry; Acetone; Mass spectrometry; Proteomics; Precipitation; Sample preparation; Protein precipitation; Biochemistry","score_opus":0.008991736285802559,"score_gpt":0.2586214926694019,"score_spread":0.24962975638359933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792721642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5091204,0.000029010649,0.48766917,0.00015295629,0.0000030294905,0.00037384027,0.00009311957,0.00009257966,0.0024659059],"genre_scores_gemma":[0.5770668,0.000015056272,0.42202005,0.000025240517,0.00004596865,0.00027381748,0.000057413126,0.000021339278,0.00047434363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989182,0.000013368436,0.00032315622,0.0003608587,0.0001614868,0.0002229457],"domain_scores_gemma":[0.9990656,0.000024110472,0.00024941217,0.00046829812,0.0001123665,0.00008023305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015611468,0.00017125835,0.0002766906,0.00013296885,0.0001069662,0.000025436806,0.0001974995,0.00014500305,0.00024336216],"category_scores_gemma":[0.00004599551,0.0001773402,0.00010007735,0.00051809964,0.00018948838,0.00007132875,0.000046853245,0.00017826322,0.000005552828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004817232,0.000050697778,0.002258572,0.00010645151,0.00006873627,2.9055207e-7,0.000016907738,0.000009846623,0.99650884,0.00071450585,0.00006077833,0.00015617686],"study_design_scores_gemma":[0.0002707519,0.000052558786,0.000052507214,0.000031524378,0.000100758145,0.0000010872914,0.000014678096,0.0047459067,0.9902617,0.003204261,0.0010739331,0.00019038733],"about_ca_topic_score_codex":0.000062546555,"about_ca_topic_score_gemma":0.000010195721,"teacher_disagreement_score":0.06794638,"about_ca_system_score_codex":0.00006549557,"about_ca_system_score_gemma":0.000032760665,"threshold_uncertainty_score":0.72317237},"labels":[],"label_agreement":null},{"id":"W2793709051","doi":"10.1016/j.jprot.2018.02.004","title":"Targeted proteomics analyses of phosphorylation-dependent signalling networks","year":2018,"lang":"en","type":"review","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; PROTEO; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Phosphorylation; Signalling pathways; Computational biology; Signalling; Biology; Signal transduction; Cell biology; Genetics; Gene","score_opus":0.0631082290197335,"score_gpt":0.37182260442405723,"score_spread":0.3087143754043237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793709051","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011885069,0.6512524,0.34742224,0.000006502653,0.00008217662,0.0008260336,0.00007424115,0.000033715554,0.00018387382],"genre_scores_gemma":[0.00008826537,0.69297904,0.30571395,0.0000057597517,0.000781969,0.00015580539,0.000051172938,0.00010574697,0.00011830792],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956531,0.00007432723,0.002967666,0.00041314663,0.0004979304,0.00039382168],"domain_scores_gemma":[0.9907797,0.00019047485,0.007319491,0.00066073827,0.00086215185,0.0001874404],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080964254,0.00061913143,0.0023714106,0.00029832707,0.00014197886,0.00006819314,0.0011315577,0.00083533983,0.00019904095],"category_scores_gemma":[0.0002118748,0.0005158076,0.0012415268,0.00045384656,0.00016662515,0.0001912,0.00018764792,0.0015290699,0.000006498337],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094459753,0.0023610853,0.00006974561,0.07148033,0.008341304,0.00014979197,0.00038032036,0.018057464,0.16005434,0.002015099,0.0021752783,0.73397064],"study_design_scores_gemma":[0.0019230122,0.000595224,6.4532634e-7,0.048689198,0.006912202,0.0006018352,0.000106409265,0.0043789395,0.4895743,0.00924357,0.43513787,0.0028367783],"about_ca_topic_score_codex":0.000012771968,"about_ca_topic_score_gemma":0.0000011757777,"teacher_disagreement_score":0.7311339,"about_ca_system_score_codex":0.00039738367,"about_ca_system_score_gemma":0.00060509884,"threshold_uncertainty_score":0.99972934},"labels":[],"label_agreement":null},{"id":"W2793855301","doi":"10.1007/978-3-319-69682-9_3","title":"Quantitative Gel Electrophoresis","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Proteome; Quantitative proteomics; Resolution (logic); Chromatography; Two-dimensional gel electrophoresis; Proteomics; Gel electrophoresis of proteins; Gel electrophoresis; Chemistry; Stain; Protein detection; Electrophoresis; Polyacrylamide gel electrophoresis; Computer science; Biology; Biochemistry; Staining; Artificial intelligence; Nanotechnology; Materials science; Enzyme","score_opus":0.021062973825403605,"score_gpt":0.2864550764026433,"score_spread":0.26539210257723966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793855301","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000060549733,0.00022087454,0.020377815,0.00006588696,0.000008367518,0.000112040216,0.00008031669,0.0002909001,0.97878325],"genre_scores_gemma":[0.00011201967,0.0006872721,0.11678538,0.00008117008,0.00014733423,0.000068559326,0.00009200382,0.00007634442,0.8819499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915963,8.053347e-7,0.00020521511,0.00035656127,0.00011328861,0.00016451445],"domain_scores_gemma":[0.9991613,0.0000354794,0.00015516799,0.00048506144,0.00010875173,0.000054238117],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000024249777,0.0002407453,0.00021415696,0.000038416725,0.0000773993,0.000017043601,0.00023519395,0.0003245966,0.025960768],"category_scores_gemma":[0.0000076019996,0.00022835261,0.00011933296,0.000012266976,0.00011507902,0.000024164883,0.00007256406,0.0002911366,0.00085885386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017161037,0.0000067086735,4.2340056e-7,0.000024125871,0.000040655083,0.0000018472545,0.000010844032,9.600258e-8,0.028787272,0.9513695,0.018955663,0.0007857083],"study_design_scores_gemma":[0.000035136258,0.000027966627,5.3652332e-8,0.00003695831,0.00002140173,0.0000028029779,0.0000039903584,0.000016951879,0.096256234,0.37537825,0.5279894,0.00023089172],"about_ca_topic_score_codex":0.000007520514,"about_ca_topic_score_gemma":0.000010983442,"teacher_disagreement_score":0.5759913,"about_ca_system_score_codex":0.000082061706,"about_ca_system_score_gemma":0.000038483813,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W2793880089","doi":"10.1074/mcp.tir117.000302","title":"Simple, scalable, and ultrasensitive tip-based identification of protease substrates","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; KU Leuven; Bundesministerium für Bildung und Forschung","keywords":"Chemistry; Chromatography; Ion chromatography; Amine gas treating; Organic chemistry","score_opus":0.007085066424742169,"score_gpt":0.2415727340235628,"score_spread":0.23448766759882064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793880089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7225321,0.000062597246,0.276043,0.00006350545,0.0000067462943,0.0006656812,0.00007527848,0.00008896532,0.0004621146],"genre_scores_gemma":[0.9403114,0.000011098999,0.058960672,0.00005543219,0.000046898098,0.00032253747,0.00015265489,0.000049695773,0.00008961888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998594,0.00002960722,0.00046065365,0.00046483247,0.00018914678,0.0002617749],"domain_scores_gemma":[0.99862856,0.000026096975,0.00033909353,0.0006008357,0.00029613829,0.00010930332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020854575,0.00022584457,0.00022404456,0.00006817649,0.0001486414,0.000046195924,0.0001986168,0.00017270498,0.00006977518],"category_scores_gemma":[0.00008025688,0.00024719647,0.00008121693,0.00020393744,0.00038102415,0.0000789081,0.000055348584,0.00018831804,0.000014290997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004734493,0.000085500375,0.00038737335,0.00012429726,0.000018006926,0.000007495841,0.000033297118,0.00005103531,0.9968719,0.0019077226,0.000011646229,0.00045441397],"study_design_scores_gemma":[0.00035315473,0.000048924463,0.000058624493,0.00004227709,0.000037361533,0.0000053701774,0.00003318549,0.0058023105,0.98537916,0.007823786,0.0001636042,0.00025224854],"about_ca_topic_score_codex":0.00003794432,"about_ca_topic_score_gemma":0.0000023999567,"teacher_disagreement_score":0.2177793,"about_ca_system_score_codex":0.000043809687,"about_ca_system_score_gemma":0.00007693731,"threshold_uncertainty_score":0.99999803},"labels":[],"label_agreement":null},{"id":"W2794635858","doi":"10.1007/978-1-4939-7759-8_12","title":"Global Characterization of Protein Complexes by Biochemical Purification-Mass Spectrometry (BP/MS)","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Mass spectrometry; Chemistry; Chromatography; Tandem mass spectrometry; Protein mass spectrometry; Protein purification; Ion chromatography; Characterization (materials science); Tandem mass tag; Ion exchange; Proteomics; Quantitative proteomics; Biochemistry; Ion; Materials science; Nanotechnology; Organic chemistry","score_opus":0.012905939697075807,"score_gpt":0.3683683157292336,"score_spread":0.3554623760321578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794635858","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2229842,0.00007329518,0.7753077,0.000140283,0.00001138342,0.00017872949,0.00011531947,0.000047604353,0.0011414657],"genre_scores_gemma":[0.11067778,0.000016165392,0.8887286,0.000059680482,0.000039448954,0.00016665619,0.00025834193,0.000013731201,0.000039588038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892735,0.00011158061,0.00034825673,0.00035438198,0.000054565513,0.00020388627],"domain_scores_gemma":[0.9992467,0.00003112078,0.00019729327,0.00040934366,0.000076838,0.000038675455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024556322,0.00013440331,0.00022636619,0.00005136135,0.00003258094,0.0000064257656,0.0003014472,0.00023392942,0.00016693835],"category_scores_gemma":[0.00013564552,0.00014011604,0.00005100864,0.00037281733,0.00028750225,0.000020435786,0.00006841553,0.00011869776,0.0000029114879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016012023,0.00005696038,0.00063566724,0.000018937095,0.000009888655,2.9791957e-7,0.000005842251,1.5500314e-7,0.97955173,0.017148104,0.000010996947,0.0025453863],"study_design_scores_gemma":[0.00012696206,0.00003588836,0.000063914034,0.000014614946,0.0000051958004,0.0000023879034,0.0000042077877,0.00011037904,0.9483525,0.048007388,0.0031494962,0.0001270714],"about_ca_topic_score_codex":0.000020072093,"about_ca_topic_score_gemma":5.4054664e-7,"teacher_disagreement_score":0.11342088,"about_ca_system_score_codex":0.00007016777,"about_ca_system_score_gemma":0.000022332517,"threshold_uncertainty_score":0.5713766},"labels":[],"label_agreement":null},{"id":"W2795502974","doi":"10.1101/271841","title":"Rules for PP2A-controlled phosphosignalling and drug responses","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Protein phosphatase 2; Phosphatase; Suppressor; Computational biology; Phosphorylation; Cancer; Cancer cell; Biology; Cancer research; Cell biology; Genetics","score_opus":0.013266982720198993,"score_gpt":0.24867490412255658,"score_spread":0.23540792140235758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795502974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9459711,0.0028226834,0.047047332,0.00030736017,0.00016559064,0.00165141,0.0010689148,0.0009246606,0.000040962215],"genre_scores_gemma":[0.79190195,0.00084487867,0.20238432,0.00011407509,0.00063437904,0.0038603493,0.0000013378125,0.00018543444,0.00007325717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976112,0.000031277457,0.000601174,0.0010651594,0.00019846486,0.0004927265],"domain_scores_gemma":[0.99729455,0.00030697093,0.00057098316,0.001149514,0.00047053135,0.00020746104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005668102,0.0005588753,0.0007433943,0.00011742372,0.00034108636,0.00022796133,0.0005429723,0.00051137176,0.0000742225],"category_scores_gemma":[0.00031878668,0.00058927416,0.00022225459,0.000103424405,0.00019278862,0.00009260921,0.00041084638,0.0005441948,0.000012985086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005188163,0.00007859047,0.00039695474,0.0005004347,0.0001428849,0.0000036444183,0.00000820593,0.0000075011058,0.9948562,0.0030147259,0.0004676771,0.0000043826153],"study_design_scores_gemma":[0.0015255528,0.000019564692,0.00018223206,0.00046979723,0.00016552955,1.2302541e-8,0.0000027644487,0.00087447686,0.981879,0.00031698873,0.013818868,0.0007452427],"about_ca_topic_score_codex":0.000020203257,"about_ca_topic_score_gemma":7.7395634e-7,"teacher_disagreement_score":0.15533699,"about_ca_system_score_codex":0.00016331616,"about_ca_system_score_gemma":0.0002839411,"threshold_uncertainty_score":0.99965584},"labels":[],"label_agreement":null},{"id":"W2795520574","doi":"10.1371/journal.pone.0195148","title":"Proteomic fingerprinting in HIV/HCV co-infection reveals serum biomarkers for the diagnosis of fibrosis staging","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Infectious Diseases Centre; Ottawa Hospital; McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Fibrosis; Hepatitis C virus; Cirrhosis; Biomarker; Hepatitis C; Liver biopsy; Pathology; Gastroenterology; Internal medicine; Biopsy; Immunology; Virus; Biology","score_opus":0.03925154323437289,"score_gpt":0.29071367492208594,"score_spread":0.25146213168771303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795520574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863738,0.000018822637,0.011328637,0.0006523943,0.0000051109237,0.00083227793,0.00008008772,0.00009077391,0.00061810977],"genre_scores_gemma":[0.9254423,0.000107102016,0.07173957,0.000028611836,0.000095867756,0.002425674,0.000010389181,0.000025066647,0.00012544662],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992255,0.000009342359,0.00026757372,0.00020908329,0.00009957133,0.0001889218],"domain_scores_gemma":[0.9991967,0.00018826102,0.00019906867,0.00031399273,0.00007928455,0.000022679065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021974261,0.000098678225,0.00015745261,0.00004615125,0.00014453795,0.00001296522,0.00014534318,0.00006912218,0.000096076794],"category_scores_gemma":[0.00015256052,0.00008907524,0.000053230604,0.00014631862,0.00006629832,0.00006628876,0.00005290764,0.00010777585,0.0000047778753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027772141,0.00018572038,0.27375817,0.0002978863,0.00005820521,4.2164984e-8,0.00008867865,0.000004239648,0.72314495,0.00014330755,0.00009489178,0.0021961185],"study_design_scores_gemma":[0.00019482292,0.000023404795,0.004785961,0.00047080105,0.000038698025,1.3882571e-7,0.000022274273,0.0011568652,0.99121225,0.0018084857,0.00018156634,0.000104734005],"about_ca_topic_score_codex":0.00007268162,"about_ca_topic_score_gemma":0.000007777519,"teacher_disagreement_score":0.2689722,"about_ca_system_score_codex":0.00007125067,"about_ca_system_score_gemma":0.000014847001,"threshold_uncertainty_score":0.36323828},"labels":[],"label_agreement":null},{"id":"W2796579990","doi":"10.1021/acs.jproteome.8b00100","title":"A Targeted, Differential Top-Down Proteomic Methodology for Comparison of ApoA-I Proteoforms in Individuals with High and Low HDL Efflux Capacity","year":2018,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; American Heart Association","keywords":"Efflux; Differential (mechanical device); Chemistry; Computational biology; Biology; Biochemistry; Physics","score_opus":0.10721122602011719,"score_gpt":0.42172677287665633,"score_spread":0.31451554685653915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796579990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93104714,0.00003812629,0.06589885,0.00038136652,0.000016195085,0.0024823712,0.000060831775,0.000015251551,0.000059889142],"genre_scores_gemma":[0.67940223,0.00001610764,0.3193585,0.0000035717392,0.00020463642,0.00091581815,0.000005433526,0.00002674057,0.00006696201],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973462,0.00019750117,0.00090550253,0.0003316618,0.0006275368,0.00059156393],"domain_scores_gemma":[0.9974264,0.0003749077,0.0007233714,0.00035417482,0.0009547315,0.00016640767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027228433,0.00021066533,0.0007250182,0.00044601297,0.00019793144,0.000048917365,0.00052010175,0.0002711088,0.00012420968],"category_scores_gemma":[0.0006317989,0.00015240438,0.000089377354,0.00040469432,0.0007105443,0.00020135037,0.00019077945,0.0011708848,0.0000014744274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007892659,0.0003732512,0.025619136,0.0007011019,0.000078807294,0.0000013211496,0.0006813674,0.000008416611,0.9684045,0.0009711981,0.00008746944,0.002284166],"study_design_scores_gemma":[0.0020242513,0.0015929635,0.0038538147,0.00038942668,0.00001789687,0.00004453704,0.00019643061,0.00021935331,0.9720436,0.019220144,0.0002252565,0.00017233574],"about_ca_topic_score_codex":0.00011322819,"about_ca_topic_score_gemma":0.000026485395,"teacher_disagreement_score":0.25345963,"about_ca_system_score_codex":0.00015866627,"about_ca_system_score_gemma":0.00025414472,"threshold_uncertainty_score":0.621487},"labels":[],"label_agreement":null},{"id":"W2799293472","doi":"10.1016/j.jprot.2018.04.027","title":"Brain-related proteins as potential CSF biomarkers of Alzheimer's disease: A targeted mass spectrometry approach","year":2018,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Biomarker; Dementia; Cerebrospinal fluid; Medicine; Disease; Alzheimer's disease; Pathology; Amyloid beta; Internal medicine; Amyloid (mycology); Oncology; Biology; Biochemistry","score_opus":0.009667709855789634,"score_gpt":0.26403811508641606,"score_spread":0.25437040523062643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799293472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47731754,0.0009797333,0.5136406,0.0014801869,0.00011541636,0.0012623221,0.00011628844,0.00012196207,0.0049659633],"genre_scores_gemma":[0.5165401,0.000050545386,0.48279005,0.000043108343,0.00029457654,0.000056283945,0.000016826056,0.00004946084,0.0001590096],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978415,0.000038530965,0.0010138192,0.00030111428,0.0004515521,0.00035351462],"domain_scores_gemma":[0.9971932,0.00002584228,0.0014755749,0.0005085489,0.0005090386,0.00028775103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043002635,0.0002717412,0.0004466169,0.00024031766,0.00014568074,0.00004266638,0.0005775658,0.00023324395,0.00040735776],"category_scores_gemma":[0.00021169437,0.00024949186,0.000348822,0.0004577183,0.00033690137,0.00023923314,0.00010149562,0.0005478411,0.000011361138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047666035,0.0002692746,0.00017701129,0.00007467271,0.00042444855,0.000019553849,0.000057936464,0.000059812795,0.9959414,0.0015007404,0.000476948,0.0005215203],"study_design_scores_gemma":[0.0011098498,0.0002579573,0.00017975888,0.00012792088,0.00023032424,0.00015166805,0.00009713701,0.0015932645,0.9651603,0.030091042,0.00068088464,0.0003199059],"about_ca_topic_score_codex":0.00001145296,"about_ca_topic_score_gemma":1.9656693e-7,"teacher_disagreement_score":0.039222576,"about_ca_system_score_codex":0.000119608914,"about_ca_system_score_gemma":0.00031337747,"threshold_uncertainty_score":0.9999957},"labels":[],"label_agreement":null},{"id":"W2802412509","doi":"10.1007/978-1-4939-7695-9_8","title":"A Proteomics Workflow for Dual Labeling Biotin Switch Assay to Detect and Quantify Protein S-Nitroylation","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Cysteine; Proteomics; S-Nitrosylation; Chemistry; Biotin; Quantitative proteomics; Thiol; Moiety; Biochemistry; Combinatorial chemistry; Amino acid; Streptavidin; Computational biology; Biology; Stereochemistry","score_opus":0.02963763294012744,"score_gpt":0.4097876019165646,"score_spread":0.38014996897643716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802412509","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12682204,0.00006850785,0.87149197,0.00031469943,0.00001974441,0.0010339561,0.000016681539,0.000076348464,0.0001560726],"genre_scores_gemma":[0.018260214,0.000005729959,0.9798764,0.00013263364,0.00008573462,0.0015257951,0.000017909248,0.00003525115,0.000060328653],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987309,0.00014652046,0.00030628385,0.00047342567,0.000038976268,0.00030391934],"domain_scores_gemma":[0.9992706,0.0001524318,0.00011033473,0.00031619042,0.00009088605,0.00005953049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010933293,0.00016598398,0.00022814138,0.00009909142,0.00009650128,0.000020071262,0.00014512114,0.0002880512,0.000014123098],"category_scores_gemma":[0.00080306636,0.00016701555,0.000044410102,0.00021697275,0.00009460109,0.000019468236,0.000120762175,0.00019912225,0.0000021253145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005815822,0.000010358874,0.0001258202,0.000024910818,0.000008566792,6.395648e-7,0.000041079908,0.000008088054,0.92731726,0.003990329,0.0000027742904,0.06841198],"study_design_scores_gemma":[0.00026371048,0.00010577033,0.000006616332,0.000039496772,0.0000072730127,0.0000040231366,0.000009384152,0.0014796533,0.8822625,0.112591885,0.0030501795,0.00017949665],"about_ca_topic_score_codex":0.000022146445,"about_ca_topic_score_gemma":0.000014227739,"teacher_disagreement_score":0.108601555,"about_ca_system_score_codex":0.000048312522,"about_ca_system_score_gemma":0.00002744274,"threshold_uncertainty_score":0.6810696},"labels":[],"label_agreement":null},{"id":"W2802536442","doi":"10.1039/c8an00094h","title":"How iMALDI can improve clinical diagnostics","year":2018,"lang":"en","type":"review","venue":"The Analyst","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Genome British Columbia; McGill University; University of Victoria; Jewish General Hospital; Leading Edge Endowment Fund; Genome Canada","keywords":"Computer science","score_opus":0.070021080916411,"score_gpt":0.40230728559440976,"score_spread":0.33228620467799874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802536442","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002883152,0.9942936,0.0020539174,0.0003116768,0.000051244326,0.00031986609,0.00030678534,0.00011921695,0.0025408675],"genre_scores_gemma":[0.0000060870857,0.98919,0.0027885044,0.00006433109,0.0015491488,0.00042049322,0.00023080561,0.00006561028,0.0056850114],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985287,0.000045382596,0.0005763247,0.00045134564,0.00013713598,0.00026110624],"domain_scores_gemma":[0.99711156,0.00049662497,0.00065942184,0.0015711179,0.00006459061,0.00009666254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030056198,0.00032685485,0.0010218249,0.000030020894,0.00017242234,0.00009640629,0.0009958798,0.0003798273,0.0000646943],"category_scores_gemma":[0.00021116351,0.000199635,0.0007663468,0.00020268203,0.0002554019,0.000023410037,0.000251032,0.0007828074,0.00006492642],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015733618,0.000050718176,0.000007457266,0.0018296188,0.0003274389,0.0000050371887,0.0000065991535,2.506692e-8,0.000004955215,0.0014647595,0.015009061,0.9812928],"study_design_scores_gemma":[0.000035035777,0.0000123356385,8.65057e-8,0.00091002876,0.0012942085,0.000007668408,0.000007845294,0.000005558237,0.000070305505,0.0013108419,0.99610305,0.00024302727],"about_ca_topic_score_codex":0.000025433343,"about_ca_topic_score_gemma":0.00002364356,"teacher_disagreement_score":0.981094,"about_ca_system_score_codex":0.00007425165,"about_ca_system_score_gemma":0.00013421733,"threshold_uncertainty_score":0.8140879},"labels":[],"label_agreement":null},{"id":"W2802799838","doi":"10.1021/acs.jproteome.8b00072","title":"Parsing and Quantification of Raw Orbitrap Mass Spectrometer Data Using RawQuant","year":2018,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"BC Cancer Foundation; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Orbitrap; Computer science; Parsing; Isobaric labeling; Isobaric process; Raw data; Metadata; Mass spectrometry; Shotgun proteomics; Proteome; Identification (biology); Data mining; File format; Quantitative proteomics; Database; Chromatography; Proteomics; Chemistry; Artificial intelligence; Bioinformatics; Tandem mass spectrometry; Biology; Programming language","score_opus":0.3041312187879838,"score_gpt":0.48169478545626543,"score_spread":0.1775635666682816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802799838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7530631,0.00026895714,0.24527599,0.00056012714,0.000018741026,0.00027299582,0.000020784946,0.000011250547,0.0005080531],"genre_scores_gemma":[0.7200245,0.00015976996,0.2794181,0.0000028302125,0.0003153608,0.0000063202046,0.0000041272397,0.000016629356,0.00005234854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984527,0.00006081951,0.0005067263,0.00021962426,0.0005016654,0.00025845933],"domain_scores_gemma":[0.9980555,0.0001167533,0.0003961617,0.00065542717,0.00067932974,0.000096832235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021292758,0.000085824446,0.00021436183,0.00022855411,0.00017759136,0.000057003912,0.00057260133,0.00008613319,0.00012309838],"category_scores_gemma":[0.00027257617,0.000073213574,0.000038406135,0.00033030004,0.00036718723,0.00029401618,0.0001987248,0.00052248896,0.0000025423117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087394714,0.000047564976,0.00020341098,0.00010173217,0.000017949302,0.0000033899182,0.000048361202,0.0000023425362,0.99739224,0.0005053531,0.00008678581,0.0015034935],"study_design_scores_gemma":[0.00023565913,0.00012733016,0.000043717457,0.00022018464,0.0000133525455,0.00008388203,0.0001116145,0.0038123925,0.9810102,0.012689423,0.0015738799,0.00007839257],"about_ca_topic_score_codex":0.00001973057,"about_ca_topic_score_gemma":0.0000010446049,"teacher_disagreement_score":0.034142125,"about_ca_system_score_codex":0.00008444764,"about_ca_system_score_gemma":0.000162825,"threshold_uncertainty_score":0.2985563},"labels":[],"label_agreement":null},{"id":"W2803639923","doi":"10.1093/bioinformatics/bty385","title":"MRMAssayDB: an integrated resource for validated targeted proteomics assays","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Fondation De Famille Alvin Segal; Leids Universitair Medisch Centrum; Genome British Columbia; McGill University; University of Victoria; Jewish General Hospital; Leading Edge Endowment Fund; Genome Canada","keywords":"Proteomics; UniProt; KEGG; Computational biology; Quantitative proteomics; Computer science; Resource (disambiguation); Bioinformatics; Biology; Gene ontology; Gene; Biochemistry; Gene expression","score_opus":0.021240597739801293,"score_gpt":0.2857756677972513,"score_spread":0.26453507005745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803639923","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026255751,0.00000795591,0.9550519,0.00014571066,0.000035145462,0.00087022263,0.00051670684,0.0008572183,0.016259413],"genre_scores_gemma":[0.028724238,0.000007716745,0.9678811,0.00026052297,0.00022602608,0.00049274834,0.0014123387,0.000055250614,0.0009400847],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987611,0.000008555016,0.0005267206,0.00019594419,0.00014742179,0.00036023677],"domain_scores_gemma":[0.9985668,0.00004360983,0.0002877772,0.0006586909,0.00030080634,0.0001423389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361764,0.00022448052,0.00020241042,0.00006365946,0.00028709526,0.00009101316,0.0004340352,0.00023799927,0.00016710945],"category_scores_gemma":[0.00012572722,0.0002056869,0.000074917996,0.00021971506,0.00014093882,0.00030387042,0.00007743908,0.00020107249,0.000048213533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064921746,0.0006334985,0.00034960234,0.0009141883,0.00019540061,0.0000018325718,0.0034951395,0.00018207433,0.8300061,0.033523776,0.05335751,0.07669165],"study_design_scores_gemma":[0.00040486327,0.00010774823,0.0000023257849,0.000034555007,0.000019289146,0.000006219685,0.0003827219,0.08988183,0.6174026,0.002273745,0.28919736,0.00028672884],"about_ca_topic_score_codex":0.000009217949,"about_ca_topic_score_gemma":0.0000046286095,"teacher_disagreement_score":0.23583984,"about_ca_system_score_codex":0.00009662916,"about_ca_system_score_gemma":0.00008005246,"threshold_uncertainty_score":0.8387668},"labels":[],"label_agreement":null},{"id":"W2804023205","doi":"10.1186/s12014-018-9194-0","title":"Identification of serum proteins AHSG, FGA and APOA-I as diagnostic biomarkers for gastric cancer","year":2018,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Xi’an Jiaotong University; National Natural Science Foundation of China","keywords":"Cancer; Proteomics; Medicine; Identification (biology); Biomarker; Blood proteins; Cancer biomarkers; Internal medicine; Computational biology; Oncology; Biology; Biochemistry","score_opus":0.033552883973836586,"score_gpt":0.3829836939946741,"score_spread":0.3494308100208375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804023205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8242838,0.00013989542,0.17139266,0.00084529334,0.00008640297,0.0023021405,0.0004003141,0.00012150006,0.00042802247],"genre_scores_gemma":[0.8960986,0.00056957954,0.09955908,0.00009927382,0.00042619428,0.0027368355,0.000022057058,0.000046026606,0.00044233422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827415,0.00001974833,0.00087586266,0.0004785655,0.000109899556,0.00024175369],"domain_scores_gemma":[0.9980691,0.0004903624,0.00056413445,0.00049468625,0.00025778657,0.0001239519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046808898,0.00016501811,0.00028079379,0.000042145854,0.00015229634,0.0000275265,0.00027106356,0.00024577125,0.000119260425],"category_scores_gemma":[0.0017285665,0.00016367994,0.00011776047,0.00015490023,0.00049335614,0.000089125315,0.00010951359,0.0001958019,0.000011114118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004805227,0.0005683563,0.030329406,0.00074786134,0.00019833683,0.0000010308665,0.00009906277,0.000010753716,0.819212,0.005696718,0.0008781652,0.14177775],"study_design_scores_gemma":[0.0009718251,0.0002638248,0.0026659612,0.00011831937,0.0000906876,0.000004946776,0.00003565244,0.001963797,0.9499152,0.0403224,0.0033552458,0.00029217772],"about_ca_topic_score_codex":0.000028376595,"about_ca_topic_score_gemma":0.000010217665,"teacher_disagreement_score":0.14148557,"about_ca_system_score_codex":0.000048030535,"about_ca_system_score_gemma":0.00011136565,"threshold_uncertainty_score":0.6674674},"labels":[],"label_agreement":null},{"id":"W2804471801","doi":"","title":"Detecting Protein Variants within Mass Spectrometry Datasets","year":2018,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mass spectrometry; Computational biology; Computer science; Chemistry; Information retrieval; Chromatography; Biology","score_opus":0.010557387332478699,"score_gpt":0.26367343832322254,"score_spread":0.25311605099074386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804471801","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59473133,0.0004329118,0.030442555,0.000098742305,0.00014917088,0.00090859114,0.0012551525,0.000525317,0.3714562],"genre_scores_gemma":[0.4318508,0.00017025643,0.5226791,0.000005171525,0.00016644751,0.000007666485,0.0030288396,0.00007853895,0.042013235],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989302,0.00001215658,0.000148035,0.0004617144,0.00021640476,0.0002314591],"domain_scores_gemma":[0.99851376,0.000016517906,0.0006009161,0.00067911006,0.000099902165,0.00008981962],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010368185,0.00024089421,0.0003162391,0.000041272568,0.00025246097,0.0000155199,0.0005917902,0.00037907696,0.018378617],"category_scores_gemma":[0.000030580548,0.00033010455,0.000107202315,0.00007574301,0.000062062885,0.000262669,0.00008040887,0.000308952,0.000027090717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023595431,0.000070696246,0.000017942692,0.00051556167,0.0001229827,0.000015570302,0.0022508262,0.0000013626011,0.9869466,0.00096463674,0.0004955956,0.008362263],"study_design_scores_gemma":[0.0009681625,0.00016695258,0.0013691426,0.0010464534,0.0003156564,0.000008321583,0.03173334,0.0004727259,0.95557153,0.0021244136,0.0049364655,0.0012868041],"about_ca_topic_score_codex":0.018096767,"about_ca_topic_score_gemma":0.019096458,"teacher_disagreement_score":0.49223652,"about_ca_system_score_codex":0.00033997677,"about_ca_system_score_gemma":0.00009552806,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W2806365473","doi":"10.1101/332668","title":"Limits for resolving tandem mass tag reporter ions with identical integer mass using phase constrained spectrum deconvolution","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Orbitrap; Tandem mass tag; Mass spectrometry; Chemistry; Deconvolution; Quantitative proteomics; Tandem mass spectrometry; Proteome; Isobaric labeling; Fragmentation (computing); Mass spectrum; Ion; Analytical Chemistry (journal); Proteomics; Chromatography; Computer science; Protein mass spectrometry; Algorithm; Biochemistry","score_opus":0.024580827761669685,"score_gpt":0.28375122343901865,"score_spread":0.25917039567734895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806365473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2994643,0.00010450418,0.6980196,0.00017501842,0.00018205312,0.0009973553,0.00042431452,0.00057985744,0.000052999734],"genre_scores_gemma":[0.6911113,0.00003851143,0.30721936,0.00005254155,0.0006491313,0.00074401475,0.0000037303012,0.0001645757,0.000016807771],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965058,0.000030776115,0.0009951886,0.0013776819,0.00032578057,0.0007647932],"domain_scores_gemma":[0.9963203,0.00010068957,0.0010284407,0.0015855988,0.00065007765,0.00031489594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005009784,0.00066756376,0.0006678097,0.00018170704,0.00041352533,0.00026914498,0.00052786735,0.0007746878,0.00015096624],"category_scores_gemma":[0.00027242952,0.0007018114,0.00023277405,0.0002822941,0.00039056558,0.00019857015,0.00019846567,0.0008137701,0.000007922124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009800463,0.000143483,0.0013786686,0.0003020756,0.00016745298,0.000038104943,0.0000042201327,0.000055684348,0.995326,0.0023521609,0.00013287945,0.0000013109815],"study_design_scores_gemma":[0.0012051545,0.00008174697,0.000113520975,0.00097562996,0.00034164955,4.702082e-7,0.0000075831067,0.013884356,0.9794009,0.00043229837,0.002512351,0.0010443804],"about_ca_topic_score_codex":0.000014598712,"about_ca_topic_score_gemma":0.0000034246348,"teacher_disagreement_score":0.39164704,"about_ca_system_score_codex":0.0006954201,"about_ca_system_score_gemma":0.0007183216,"threshold_uncertainty_score":0.9995433},"labels":[],"label_agreement":null},{"id":"W2806546282","doi":"10.1007/978-1-4939-7804-5_9","title":"Mass Spectrometry-Based Proteomics","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Génome Québec; Genome Canada","keywords":"Proteomics; Bottom-up proteomics; Mass spectrometry; Chemistry; Chromatography; Quantitative proteomics; Proteolytic enzymes; Protein mass spectrometry; Computational biology; Tandem mass spectrometry; Biology; Biochemistry; Enzyme","score_opus":0.019603802914482264,"score_gpt":0.4029376064021088,"score_spread":0.3833338034876265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806546282","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007999469,0.000052082276,0.97972846,0.00022986201,0.000028029182,0.00017648622,0.000010205821,0.000111100926,0.011664291],"genre_scores_gemma":[0.007820784,0.0000069516445,0.9913907,0.00029671617,0.00007261589,0.00027595653,0.000017612118,0.000026618578,0.00009203281],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989694,0.000108655935,0.000231277,0.0003670216,0.000038137296,0.0002855598],"domain_scores_gemma":[0.9992454,0.00007468963,0.000089077,0.0005027353,0.000044751763,0.00004331998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040806766,0.00013888895,0.00019179781,0.0001028398,0.000045816945,0.000008304761,0.00030082988,0.00022605892,0.0003131156],"category_scores_gemma":[0.00018280314,0.00013875708,0.00006302685,0.00027466286,0.00021307335,0.000011331405,0.00006084956,0.00025060214,0.000012832722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013994976,0.000023922206,0.0005210945,0.000008854641,0.0000054517254,0.0000028311576,0.000005199041,0.000006488535,0.9741557,0.022619357,0.0000051948386,0.0026318815],"study_design_scores_gemma":[0.00017568664,0.00003697578,0.0000041214403,0.00000714911,0.000003825152,0.0000025533236,0.0000040449145,0.00079640414,0.8343017,0.16095181,0.0035817716,0.0001339756],"about_ca_topic_score_codex":0.000011485695,"about_ca_topic_score_gemma":0.0000016686611,"teacher_disagreement_score":0.13985404,"about_ca_system_score_codex":0.000071804265,"about_ca_system_score_gemma":0.0000362522,"threshold_uncertainty_score":0.56583494},"labels":[],"label_agreement":null},{"id":"W2807067879","doi":"10.1016/j.scienta.2018.05.041","title":"Tomato proteomics: Tomato as a model for crop proteomics","year":2018,"lang":"en","type":"article","venue":"Scientia Horticulturae","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteomics; Biotechnology; Quantitative proteomics; Biology; Genomics; Computational biology; Abiotic stress; Phenomics; Genome; Genetics; Gene","score_opus":0.016423667372831602,"score_gpt":0.30106743778550066,"score_spread":0.2846437704126691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807067879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7389572,0.000021275551,0.2540947,0.00039193835,0.000057642093,0.0015160439,0.00009827281,0.00048385494,0.0043790434],"genre_scores_gemma":[0.53141135,0.000005388875,0.45904344,0.00017037765,0.00022983295,0.0027142947,0.000055561413,0.00004465076,0.006325091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980612,0.0000057472917,0.00042712965,0.00068896543,0.00025642233,0.00056058244],"domain_scores_gemma":[0.9984182,0.000014839887,0.00022251412,0.00068630074,0.00045749263,0.00020065084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001742323,0.00026983995,0.00023191818,0.00005033316,0.0006136134,0.00020678663,0.0005615331,0.00018078224,0.00019745306],"category_scores_gemma":[0.00010600368,0.00022648495,0.00016331606,0.00026645756,0.00032549162,0.0002588567,0.00017999522,0.00015778319,0.00015598114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050185226,0.00009019658,0.000031074374,0.00006419468,0.00002112478,6.1377216e-7,0.00051190605,0.00019565222,0.98786503,0.008058352,0.0026653311,0.00044634694],"study_design_scores_gemma":[0.0003236622,0.000040155555,0.000005966433,0.00004435293,0.000029345865,0.000020448228,0.000106005806,0.14946418,0.8251195,0.020251509,0.004263943,0.00033091474],"about_ca_topic_score_codex":0.00001686781,"about_ca_topic_score_gemma":0.000023004257,"teacher_disagreement_score":0.20754588,"about_ca_system_score_codex":0.00011818326,"about_ca_system_score_gemma":0.00012840805,"threshold_uncertainty_score":0.9235788},"labels":[],"label_agreement":null},{"id":"W2807202613","doi":"10.1002/rcm.8189","title":"Meet the Editors: Pierre Thibault","year":2018,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chemistry","score_opus":0.020196107853943428,"score_gpt":0.31167143893141314,"score_spread":0.2914753310774697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807202613","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024758982,0.0037700566,0.059489556,0.03792508,0.00045687993,0.0009115726,0.000115796516,0.0011627633,0.8714093],"genre_scores_gemma":[0.766171,0.0010609342,0.22986846,0.00017188386,0.0016684309,0.00046590748,0.000033528126,0.000035763052,0.0005241257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886084,0.00005151906,0.00034763047,0.00026252505,0.00017963164,0.0002978776],"domain_scores_gemma":[0.99565923,0.0002988563,0.0001525463,0.0037416017,0.000097865486,0.000049895913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032733558,0.00016457001,0.00016198351,0.0001315538,0.0004921343,0.00005631702,0.0024146903,0.0001382034,0.0008564604],"category_scores_gemma":[0.000117042444,0.00013805956,0.00007773932,0.0008730337,0.00053776545,0.00011363428,0.0004420896,0.0005841191,0.00008029118],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044680477,0.0007756134,0.0059179044,0.000052309908,0.0001261673,0.0000017171501,0.0009920932,0.0000168193,0.444202,0.46680975,0.06822868,0.012832263],"study_design_scores_gemma":[0.000470354,0.000062731546,0.000602882,0.0000905885,0.000030924442,0.000017120987,0.0009070089,0.0029537901,0.20430422,0.19397959,0.5960582,0.0005226261],"about_ca_topic_score_codex":0.000032641754,"about_ca_topic_score_gemma":0.000032895496,"teacher_disagreement_score":0.8708852,"about_ca_system_score_codex":0.00017446869,"about_ca_system_score_gemma":0.00004464034,"threshold_uncertainty_score":0.9377641},"labels":[],"label_agreement":null},{"id":"W2808428344","doi":"10.1080/14789450.2018.1483340","title":"Detecting post-translational modification signatures as potential biomarkers in clinical mass spectrometry","year":2018,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria; McGill University; Jewish General Hospital","funders":"Genome British Columbia; Genome Canada","keywords":"Proteogenomics; Proteomics; Computational biology; Biomarker discovery; Bioinformatics; Precision medicine; Disease; Biomarker; Quantitative proteomics; Proteome; Transcriptome; Medicine; Biology; Genomics; Genome; Pathology; Genetics; Gene; Gene expression","score_opus":0.020188570069226915,"score_gpt":0.3712323124944158,"score_spread":0.3510437424251889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808428344","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18137151,0.040249936,0.76461524,0.0033099542,0.0001956623,0.002658349,0.00008426146,0.0002649947,0.0072500934],"genre_scores_gemma":[0.26475796,0.013788443,0.72015756,0.00043494164,0.0004209739,0.00030547584,0.000069584414,0.000034083943,0.000030949213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99817216,0.00004974728,0.0009318834,0.00040670572,0.0002235112,0.00021597168],"domain_scores_gemma":[0.99874187,0.00007211301,0.00042990688,0.0004693205,0.00021965445,0.00006712052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921594,0.00018135253,0.00034571683,0.00008498938,0.00008138558,0.000013535597,0.0003443592,0.0002071005,0.00043736867],"category_scores_gemma":[0.0003602207,0.00017662,0.00019984561,0.00029068653,0.00017029082,0.00011321054,0.000045808043,0.00033861902,0.00001845928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008167894,0.00008183955,0.00015909043,0.0005370222,0.000030065527,0.0000012789873,0.00003424542,0.0000029629923,0.987076,0.0010750021,0.00008418041,0.010836645],"study_design_scores_gemma":[0.00044104105,0.00012205534,0.00021044818,0.0022873254,0.000022519256,0.000014200723,0.000057969875,0.0011343744,0.9855984,0.0077999914,0.0019622503,0.0003494283],"about_ca_topic_score_codex":0.000036345406,"about_ca_topic_score_gemma":0.0000039254646,"teacher_disagreement_score":0.08338644,"about_ca_system_score_codex":0.000064086096,"about_ca_system_score_gemma":0.0001007391,"threshold_uncertainty_score":0.72023547},"labels":[],"label_agreement":null},{"id":"W2809161030","doi":"10.1038/s42003-018-0087-6","title":"Molecular phenotyping of laboratory mouse strains using 500 multiple reaction monitoring mass spectrometry plasma assays","year":2018,"lang":"en","type":"article","venue":"Communications Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Genome British Columbia; McGill University; University of Victoria; Jewish General Hospital; Leading Edge Endowment Fund; Genome Canada","keywords":"Computational biology; Biology; Transgene; Genome; CRISPR; Mass spectrometry; Proteomics; Genetics; Gene; Chemistry; Chromatography","score_opus":0.041845967197215894,"score_gpt":0.3345861084840709,"score_spread":0.292740141286855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809161030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83789533,0.00024075765,0.15804198,0.000092508664,0.00003110614,0.00012718828,0.00011611128,0.00017108569,0.0032839072],"genre_scores_gemma":[0.7115919,0.00017269621,0.28803357,0.000007812782,0.000060787715,0.0000453904,0.000055162804,0.000019618501,0.000013055398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991955,0.000050482537,0.00030511385,0.00020992802,0.0000484285,0.00019053867],"domain_scores_gemma":[0.9977751,0.00011275589,0.00025840604,0.001600287,0.0002094159,0.000044079155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013173596,0.00012396446,0.00016840956,0.000097118274,0.00025323813,0.000009283545,0.0006699454,0.00018200139,0.000022879047],"category_scores_gemma":[0.00012182515,0.00014299034,0.00004958274,0.00027833923,0.0003672636,0.000074747484,0.0002281709,0.00028616228,0.0000064349742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058376427,0.00005455173,0.0032994028,0.00001121933,0.000025093306,9.502675e-8,0.000045729674,0.000016621287,0.9873272,0.0080531845,0.0000022428237,0.0011588066],"study_design_scores_gemma":[0.00015932374,0.000015749756,0.000055502253,0.000026814587,0.000017198048,0.0000020804414,0.00017122358,0.0074097104,0.9880735,0.0025788741,0.0013534622,0.00013655201],"about_ca_topic_score_codex":0.000051791543,"about_ca_topic_score_gemma":0.00000806124,"teacher_disagreement_score":0.1299916,"about_ca_system_score_codex":0.00013592477,"about_ca_system_score_gemma":0.000053827876,"threshold_uncertainty_score":0.58309764},"labels":[],"label_agreement":null},{"id":"W2810609953","doi":"10.1016/j.ab.2018.05.012","title":"Coomassie does it (better): A Robin Hood approach to total protein quantification","year":2018,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Brock University; University of Western Sydney","keywords":"Coomassie Brilliant Blue; Chromatography; Quantitative proteomics; Isoelectric focusing; Reproducibility; Proteomics; Chemistry; Two-dimensional gel electrophoresis; Quantitative analysis (chemistry); Staining; Biochemistry; Biology","score_opus":0.01481460954122646,"score_gpt":0.27980133093809884,"score_spread":0.26498672139687235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810609953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79475474,0.000015605232,0.11277632,0.0039649303,0.000017960523,0.00040803858,0.000114636816,0.00039518127,0.08755261],"genre_scores_gemma":[0.9418827,0.0000017058144,0.050342772,0.00026527335,0.00042149652,0.00040463547,0.00013954297,0.000032929034,0.006508908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983135,0.0000068946865,0.0003674582,0.0007028515,0.00022787836,0.00038144607],"domain_scores_gemma":[0.99859935,0.00002469738,0.00010401094,0.0008691159,0.00014968847,0.00025316462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107419335,0.0002427233,0.00021885792,0.000033763085,0.00016193776,0.000077687226,0.000394819,0.00025300065,0.00037169227],"category_scores_gemma":[0.00012791969,0.00020575439,0.000112401576,0.00029825055,0.00021621879,0.000057672565,0.00014495218,0.00026310666,0.00015526247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029617246,0.00021973331,0.000083577346,0.00008284954,0.000026801703,0.0000010699786,0.00002699188,0.0000020888995,0.9925115,0.003433466,0.0024672765,0.0011150273],"study_design_scores_gemma":[0.00015081579,0.000018078712,0.00001106106,0.000050551513,0.000026563916,0.000009916133,0.00009766872,0.0021708547,0.98921967,0.0019360393,0.0059838137,0.00032495515],"about_ca_topic_score_codex":0.00001392512,"about_ca_topic_score_gemma":9.3057497e-7,"teacher_disagreement_score":0.14712802,"about_ca_system_score_codex":0.00011170137,"about_ca_system_score_gemma":0.000057925718,"threshold_uncertainty_score":0.839042},"labels":[],"label_agreement":null},{"id":"W2841277228","doi":"10.1139/bcb-2018-0058","title":"Functional genetic discovery of enzymes using full-scan mass spectrometry metabolomics","year":2018,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Computational biology; Saccharomyces cerevisiae; Metabolic pathway; Biology; Gene; Enzyme; Yeast; Genetic screen; Function (biology); Candidate gene; Mass spectrometry; Biochemistry; Mutant; Genetics; Bioinformatics; Chemistry","score_opus":0.011702450298510629,"score_gpt":0.24628309400584392,"score_spread":0.23458064370733328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2841277228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94450265,0.0015109931,0.048143905,0.000017817722,0.000032000884,0.000039331408,0.00010972106,0.000030888015,0.0056127016],"genre_scores_gemma":[0.94097066,0.00024296012,0.057690397,0.000021119327,0.0003350999,0.000012869248,0.00006133504,0.0000116799665,0.0006538613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926096,0.000005894536,0.0002084645,0.00030523314,0.000040124673,0.00017931356],"domain_scores_gemma":[0.9994664,0.000028393695,0.00014524427,0.00025886024,0.000055019962,0.00004607966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039352097,0.00013647719,0.00017038523,0.000022423435,0.00008234277,0.000009777821,0.00012156768,0.00019646798,0.00030426346],"category_scores_gemma":[0.000013446411,0.00013118748,0.000054483404,0.000081677936,0.00036127408,0.000027022592,0.00007265774,0.00010742135,0.0000018765888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003995618,0.00003004311,0.0009027241,0.00005216755,0.000017279022,2.7957051e-7,0.0000037169316,0.000001947987,0.9977603,0.0007859485,0.000045549616,0.0003601048],"study_design_scores_gemma":[0.0001645575,0.000030079953,0.00005172322,0.0000060692273,0.00002780126,0.000012876602,0.000042408632,0.00013086648,0.99522334,0.0027461825,0.0014198945,0.00014420509],"about_ca_topic_score_codex":0.000007992861,"about_ca_topic_score_gemma":3.7294726e-7,"teacher_disagreement_score":0.00954649,"about_ca_system_score_codex":0.000025634004,"about_ca_system_score_gemma":0.000046138004,"threshold_uncertainty_score":0.534967},"labels":[],"label_agreement":null},{"id":"W2883227587","doi":"10.1074/mcp.ra118.000924","title":"Histone Interaction Landscapes Visualized by Crosslinking Mass Spectrometry in Intact Cell Nuclei","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission","keywords":"Nucleosome; Interactome; Histone; Nucleoprotein; Chemistry; Biophysics; Ran; Protein–protein interaction; Computational biology; Mass spectrometry; Cell biology; Biology; Biochemistry; DNA","score_opus":0.006522903541385094,"score_gpt":0.2865909562050337,"score_spread":0.28006805266364865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883227587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6561478,0.0001835031,0.33776325,0.00007669878,0.000039940063,0.00034721158,0.000019496683,0.00016435065,0.005257752],"genre_scores_gemma":[0.8374072,0.000054897402,0.1613383,0.000104005056,0.00012094452,0.0002201325,0.00015135072,0.00009800536,0.0005052227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813247,0.000036635807,0.0005061646,0.00062198704,0.00023261755,0.00047012378],"domain_scores_gemma":[0.9988751,0.000023336548,0.00029240927,0.00062011834,0.00008210427,0.00010697834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020864556,0.00032552442,0.00031845612,0.00015439614,0.00016687816,0.000108595625,0.00041909105,0.00028266828,0.000453543],"category_scores_gemma":[0.000032323165,0.00037488082,0.00013750682,0.00034690223,0.00009812351,0.00015300173,0.00013613063,0.000581145,0.000077368655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007673233,0.00015055275,0.00023537388,0.000060113893,0.000013707636,0.000022075312,0.00010676472,0.000020296518,0.9984764,0.00043667573,0.00012082237,0.00028048057],"study_design_scores_gemma":[0.0007404328,0.00005974254,0.0000032730002,0.00005955733,0.00001800546,0.000007765203,0.000065328204,0.0025982494,0.9841435,0.0035722705,0.008322236,0.0004096407],"about_ca_topic_score_codex":0.0000775012,"about_ca_topic_score_gemma":0.000007671446,"teacher_disagreement_score":0.18125936,"about_ca_system_score_codex":0.00039097448,"about_ca_system_score_gemma":0.00004299229,"threshold_uncertainty_score":0.9998703},"labels":[],"label_agreement":null},{"id":"W2883681250","doi":"10.2116/analsci.18scp11","title":"Retention Order Reversal of Phosphorylated and Unphosphorylated Peptides in Reversed-Phase LC/MS","year":2018,"lang":"en","type":"article","venue":"Analytical Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Japan Science and Technology Agency; Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Solvation; Trifluoroacetic acid; Chromatography; Reagent; Trypsin; Phosphorylation; Formic acid; Acetic acid; Phase (matter); Reversed-phase chromatography; High-performance liquid chromatography; Organic chemistry; Ion; Biochemistry; Enzyme","score_opus":0.024559270915509926,"score_gpt":0.3296669006319273,"score_spread":0.30510762971641736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883681250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894583,0.00006158989,0.0014652701,0.0004042088,0.0000121728435,0.0000876697,0.0000092931605,0.00004562845,0.008455824],"genre_scores_gemma":[0.9882818,0.00009172867,0.0111239245,0.00003921279,0.000021498565,0.000008424509,0.000005046694,0.000005009022,0.0004233506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990419,0.000008730865,0.00027036184,0.00031325838,0.00016543939,0.00020031081],"domain_scores_gemma":[0.99954325,0.000034498207,0.00009639506,0.0001574988,0.0001005009,0.00006788699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028356403,0.0000920618,0.00015304757,0.000056999274,0.00011203927,0.000021437376,0.00017317453,0.000087301785,0.00020367198],"category_scores_gemma":[0.00013274871,0.00007828724,0.000030475994,0.0007795198,0.0005973343,0.0001300606,0.000062857274,0.00011031674,0.0000063360267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039589778,0.00087948155,0.05025334,0.00015265739,0.00007305999,0.000019379124,0.00066889235,0.000071202456,0.8349137,0.07878202,0.0031565125,0.030633895],"study_design_scores_gemma":[0.0015475509,0.00049994525,0.0017207626,0.00028429975,0.00006994732,0.000012118042,0.0010889183,0.07143173,0.8816031,0.036447152,0.0047508217,0.00054362655],"about_ca_topic_score_codex":0.00030592378,"about_ca_topic_score_gemma":0.000045170713,"teacher_disagreement_score":0.07136053,"about_ca_system_score_codex":0.00002853838,"about_ca_system_score_gemma":0.00004088679,"threshold_uncertainty_score":0.31924608},"labels":[],"label_agreement":null},{"id":"W2884691883","doi":"10.1097/01.tp.0000544012.65450.1b","title":"Analysis of Differentially Expressed Proteins in Hepatocellular Carcinoma","year":2018,"lang":"en","type":"article","venue":"Transplantation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Hepatocellular carcinoma; Proteome; Liver cancer; Liver transplantation; Medicine; Oncology; Proteomics; Biomarker; Carcinoma; Immunohistochemistry; Internal medicine; Pathology; Cancer research; Biology; Transplantation; Bioinformatics; Gene","score_opus":0.014351507156170567,"score_gpt":0.2564898790470839,"score_spread":0.24213837189091336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884691883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8290876,0.000007036967,0.16951531,0.000012649432,0.0000030259885,0.0001131711,0.00007756792,0.0000322714,0.0011513685],"genre_scores_gemma":[0.9923985,0.000035034984,0.0071454174,0.0000050393433,0.000016961703,0.00011437704,0.00023146642,0.000007895552,0.00004529856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994643,0.000007049118,0.00020586015,0.00015037041,0.00008397587,0.00008846881],"domain_scores_gemma":[0.9996723,0.000014402051,0.00007521628,0.00017980319,0.00003897483,0.000019339072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003394623,0.00006772926,0.00013333156,0.00011487758,0.000025663325,0.000004644264,0.00009529404,0.000055641096,0.00024077776],"category_scores_gemma":[0.000001900024,0.00007005147,0.000053918273,0.00029467087,0.000039516246,0.00004335816,0.00000418493,0.000051870986,0.0000019589406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060444298,0.000048596798,0.0958103,0.0000737882,0.00003284715,0.0000016550412,0.00046097676,0.00003056093,0.9023281,0.0007442646,5.6677857e-7,0.00040789432],"study_design_scores_gemma":[0.00027484825,0.000013085431,0.021226808,0.000022371352,0.00018347542,3.7667982e-7,0.000015924417,0.008401446,0.9690474,0.00071765546,0.00002046016,0.00007612266],"about_ca_topic_score_codex":0.00017038315,"about_ca_topic_score_gemma":0.00013144559,"teacher_disagreement_score":0.16331092,"about_ca_system_score_codex":0.00001550898,"about_ca_system_score_gemma":0.000011112605,"threshold_uncertainty_score":0.2856616},"labels":[],"label_agreement":null},{"id":"W2885078229","doi":"10.1371/journal.pone.0202036","title":"Conservation of kinase-phosphorylation site pairings: Evidence for an evolutionarily dynamic phosphoproteome","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinome; Phosphorylation; Biology; Protein phosphorylation; Phosphorylation cascade; Context (archaeology); Kinase; Cell biology; Protein kinase A","score_opus":0.06958166784122508,"score_gpt":0.3047807799425168,"score_spread":0.2351991121012917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885078229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90715545,0.0001611264,0.0912052,0.0002914371,0.0000072887447,0.0006015275,0.00009304848,0.00019820455,0.0002867314],"genre_scores_gemma":[0.78133714,0.000049954626,0.21736266,0.00005080886,0.00006468955,0.00056132535,0.000108488326,0.000022663677,0.0004422856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990755,0.0000067454525,0.00028526358,0.0002864666,0.00018739936,0.00015865393],"domain_scores_gemma":[0.99871516,0.00009629991,0.00024150849,0.00042372567,0.000473584,0.000049714923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014840036,0.000112749054,0.00015901182,0.000033994515,0.00014059832,0.000013467884,0.00016335407,0.000107254724,0.00014897465],"category_scores_gemma":[0.00020855584,0.00012920101,0.00004438355,0.00011169531,0.00012289707,0.00026914888,0.000034321292,0.0000849476,0.00001786495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001281087,0.00034120324,0.0034584515,0.00021038203,0.00002366968,5.2679525e-8,0.00010103138,0.000006138731,0.99404883,0.0010081915,0.000063356325,0.0006105695],"study_design_scores_gemma":[0.00021481334,0.00017756692,0.001269122,0.000430155,0.000055720466,4.2256022e-7,0.000022211068,0.031383026,0.95663923,0.0094656795,0.0001844796,0.00015759512],"about_ca_topic_score_codex":0.0000893254,"about_ca_topic_score_gemma":0.0000410262,"teacher_disagreement_score":0.12615746,"about_ca_system_score_codex":0.00011835975,"about_ca_system_score_gemma":0.000048260357,"threshold_uncertainty_score":0.52686644},"labels":[],"label_agreement":null},{"id":"W2885792532","doi":"10.1109/tcbb.2018.2864647","title":"Adjacent Y-Ion Ratio Distributions and Its Application in Peptide Sequencing","year":2018,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feature (linguistics); Software; Peptide; Identification (biology); Pattern recognition (psychology); Function (biology); Computer science; Mass spectrometry; Data mining; Artificial intelligence; Chemistry; Biology; Genetics; Chromatography","score_opus":0.01793236808282061,"score_gpt":0.2879239176088458,"score_spread":0.26999154952602517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885792532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16741467,0.000030787713,0.83116394,0.00046722707,0.00002974666,0.00020815314,0.00022893219,0.0000802607,0.00037627915],"genre_scores_gemma":[0.91815275,0.0001372784,0.081124134,0.00013683818,0.000046233108,0.00013376311,0.00021960566,0.0000069075754,0.000042506224],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999228,0.000011598308,0.00034497687,0.00018873633,0.000065241875,0.00016145238],"domain_scores_gemma":[0.99942833,0.00014149457,0.00010984478,0.00015441261,0.000103247236,0.00006266623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000971115,0.00013690593,0.00012704177,0.00009282191,0.00034066394,0.00002015163,0.000099665485,0.000146804,0.000029107496],"category_scores_gemma":[0.000016803644,0.0001326907,0.000026548121,0.0001616803,0.00016388937,0.00014750288,0.000008921299,0.00020549643,0.000018434812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005779506,0.0011012575,0.0051046074,0.00096699334,0.0003054156,0.000004040314,0.0049320734,0.04048776,0.26077887,0.24433672,0.00033836017,0.44106597],"study_design_scores_gemma":[0.0012032749,0.00023748644,0.0008241941,0.00013239881,0.000045078963,0.000091025126,0.00047809933,0.745657,0.15615425,0.090838715,0.0037378967,0.0006005528],"about_ca_topic_score_codex":0.000012948523,"about_ca_topic_score_gemma":0.000028831866,"teacher_disagreement_score":0.7507381,"about_ca_system_score_codex":0.000093416114,"about_ca_system_score_gemma":0.000049470098,"threshold_uncertainty_score":0.541097},"labels":[],"label_agreement":null},{"id":"W2886540233","doi":"10.1074/mcp.tir118.000850","title":"gpGrouper: A Peptide Grouping Algorithm for Gene-Centric Inference and Quantitation of Bottom-Up Proteomics Data","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Cancer Institute; Alkek Center for Molecular Discovery, Baylor College of Medicine; Cancer Prevention and Research Institute of Texas; Diana Helis Henry Medical Research Foundation; Baylor College of Medicine; Robert and Janice McNair Foundation","keywords":"Proteomics; Inference; Computational biology; Computer science; Algorithm; Gene; Biology; Genetics; Artificial intelligence","score_opus":0.027948041270183806,"score_gpt":0.30002058642956697,"score_spread":0.2720725451593832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886540233","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40265086,0.00019607987,0.59546965,0.000046912726,0.000026549558,0.0012334754,0.00022393695,0.00007717518,0.00007534167],"genre_scores_gemma":[0.2537838,0.0001228396,0.7447848,0.000047472506,0.00011822143,0.00044308667,0.0005512872,0.000068323476,0.000080178936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979323,0.000028554992,0.0005889352,0.00079621514,0.00023622201,0.0004177325],"domain_scores_gemma":[0.99778676,0.00006143118,0.00042377046,0.0012833178,0.0003229578,0.00012178848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038254305,0.00031384258,0.0003552749,0.00010495538,0.00023139101,0.00007859793,0.0007343946,0.00025600538,0.0000153579],"category_scores_gemma":[0.00018946601,0.00035367272,0.00009201094,0.00025354963,0.00025479196,0.00024029668,0.0004734009,0.00027732056,0.0000047523886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003786173,0.00007341529,0.00011076413,0.0001868664,0.000042346124,0.0000028447594,0.00012720306,0.0000134561005,0.9892742,0.0034183022,0.000025374926,0.0066873534],"study_design_scores_gemma":[0.00068397535,0.000096138225,0.000005445238,0.0000784026,0.00006839307,0.000010912035,0.00006217001,0.09985346,0.8911599,0.0069375136,0.00069401355,0.00034969358],"about_ca_topic_score_codex":0.00005933748,"about_ca_topic_score_gemma":0.000004889156,"teacher_disagreement_score":0.14931512,"about_ca_system_score_codex":0.000076176,"about_ca_system_score_gemma":0.00012689858,"threshold_uncertainty_score":0.9998915},"labels":[],"label_agreement":null},{"id":"W2887670173","doi":"10.1007/978-1-4939-8745-0_22","title":"Fluorescent Protein Visualization Immediately After Gel Electrophoresis Using an In-Gel Trichloroethanol Photoreaction with Tryptophan","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; ExxonMobil Research and Engineering Company","keywords":"Tryptophan; Chemistry; Polyacrylamide gel electrophoresis; Polyacrylamide; Fluorescence; Chromatography; Gel electrophoresis; Gel electrophoresis of proteins; Acrylamide; Staining; Electrophoresis; Biochemistry; Amino acid; Monomer; Organic chemistry; Biology; Polymer chemistry; Polymer","score_opus":0.019027302193464053,"score_gpt":0.3865760685272031,"score_spread":0.36754876633373906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887670173","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47238335,0.000058569098,0.52715504,0.000011138733,0.000010593462,0.0002741452,0.0000037053367,0.000037628142,0.00006584171],"genre_scores_gemma":[0.32109115,0.000023544397,0.67806786,0.00005938649,0.000060452974,0.0006188029,0.000033549255,0.000037076912,0.000008181954],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984545,0.00026558738,0.00033055866,0.0005155837,0.00007766264,0.00035610655],"domain_scores_gemma":[0.9992851,0.00002812963,0.00015374116,0.00039076252,0.00008373187,0.000058547885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003646753,0.00020684549,0.0002468319,0.0002036563,0.000047556703,0.000014896029,0.00017822818,0.0002928416,0.00006145175],"category_scores_gemma":[0.000080104,0.00019178375,0.00003878775,0.00046810217,0.00014174027,0.00006187717,0.000051045223,0.00024463292,0.0000013678645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029590528,0.00013794153,0.0011099128,0.000018189701,0.000008468777,0.000009777511,0.00007780509,0.000009971492,0.99161804,0.000651999,2.4096414e-7,0.0060617425],"study_design_scores_gemma":[0.00045768885,0.00018084401,0.00011932307,0.00003655111,0.000011003211,0.000010787499,0.000028280485,0.0033216274,0.98826486,0.007067702,0.00027002816,0.00023132296],"about_ca_topic_score_codex":0.00017978043,"about_ca_topic_score_gemma":0.000050098934,"teacher_disagreement_score":0.1512922,"about_ca_system_score_codex":0.0002204879,"about_ca_system_score_gemma":0.00005796401,"threshold_uncertainty_score":0.7820715},"labels":[],"label_agreement":null},{"id":"W2889150713","doi":"10.1038/s41467-018-05696-2","title":"Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Proteomics; Computational biology; Cancer; Signature (topology); Bioinformatics; Biology; Medicine; Genetics; Gene","score_opus":0.017559237710117352,"score_gpt":0.32648211783254427,"score_spread":0.3089228801224269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889150713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96063286,0.0137888035,0.0040817442,0.010513058,0.000077471195,0.0017459622,0.0004993843,0.0004785515,0.00818218],"genre_scores_gemma":[0.9082948,0.0007381386,0.089188516,0.00029611908,0.000066915105,0.0009812864,0.00015214492,0.000028203583,0.00025386352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913853,0.00003280321,0.0002530609,0.00026673515,0.000093645285,0.00021521852],"domain_scores_gemma":[0.99836475,0.0001601336,0.00014315534,0.0011418561,0.00013497127,0.00005510979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013021257,0.00015627399,0.00018029417,0.000064903485,0.00027908472,0.00006095339,0.0007076584,0.00038640256,0.000031655978],"category_scores_gemma":[0.0001436259,0.0001537198,0.00003268543,0.00033660498,0.00028190337,0.00020540887,0.00040272425,0.0013587036,0.0000023228977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060192226,0.00035958306,0.11247688,0.00009615368,0.0000511697,0.0000017027432,0.00074682885,0.000010086346,0.800172,0.08005544,0.0024829449,0.0034870475],"study_design_scores_gemma":[0.0045479606,0.00025545887,0.051911194,0.0028251386,0.00029432547,0.00007097454,0.0011246945,0.012896872,0.5476701,0.17496699,0.20000112,0.003435124],"about_ca_topic_score_codex":0.00006990782,"about_ca_topic_score_gemma":0.0007391432,"teacher_disagreement_score":0.25250182,"about_ca_system_score_codex":0.00008777664,"about_ca_system_score_gemma":0.00006476098,"threshold_uncertainty_score":0.62685114},"labels":[],"label_agreement":null},{"id":"W2889318801","doi":"10.1016/j.ab.2018.08.025","title":"Re-evaluation of the rabbit myosin protein standard used to create the empirical statistical model for decoy library searching","year":2018,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Myosin; Electrospray ionization; Chemistry; Decoy; Tandem mass spectrometry; Chromatography; Molecular biology; Mass spectrometry; Analytical Chemistry (journal); Biology; Biochemistry","score_opus":0.1097906672332739,"score_gpt":0.4016518479514258,"score_spread":0.29186118071815187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889318801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69017327,0.000018890049,0.29683334,0.0067579183,0.0000064930937,0.0007793689,0.00062844856,0.00007563854,0.0047266367],"genre_scores_gemma":[0.954741,0.0000016868491,0.043088164,0.00025110025,0.00014089346,0.00039470565,0.000043398988,0.000030302339,0.001308722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841607,0.00003304642,0.00035808847,0.00038551458,0.000516884,0.00029038612],"domain_scores_gemma":[0.9985359,0.0002339377,0.000104027975,0.00074454286,0.00024098452,0.00014065475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049397117,0.00016211042,0.00019356719,0.000015854306,0.00024391708,0.000053539483,0.0005184248,0.00014776888,0.0003153722],"category_scores_gemma":[0.0007413844,0.00010516127,0.00012312413,0.00020059758,0.00036424102,0.000050705603,0.00023214027,0.00025895203,0.0000047250323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005098789,0.0001892466,0.00078306894,0.00021613715,0.00009990264,5.1443175e-7,0.00040395986,0.0005285164,0.9704186,0.008232592,0.012672694,0.005944899],"study_design_scores_gemma":[0.00023536333,0.000024490319,0.000013491772,0.00006594311,0.000071892646,6.556505e-7,0.00006835745,0.20498325,0.76896566,0.024758462,0.0006966771,0.000115761475],"about_ca_topic_score_codex":0.0000039452075,"about_ca_topic_score_gemma":0.0000036010315,"teacher_disagreement_score":0.26456773,"about_ca_system_score_codex":0.00009518386,"about_ca_system_score_gemma":0.00033987418,"threshold_uncertainty_score":0.4288352},"labels":[],"label_agreement":null},{"id":"W2889420165","doi":"10.1080/14789450.2018.1516147","title":"Immuno-MALDI (iMALDI) mass spectrometry for the analysis of proteins in signaling pathways","year":2018,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Leading Edge Endowment Fund; Genome Canada","keywords":"Proteome; Proteomics; Computational biology; Biomarker discovery; Biomarker; Mass spectrometry; Quantitative proteomics; Signal transduction; Cancer biomarkers; Tumor microenvironment; Bioinformatics; Cancer research; Biology; Cancer; Chemistry; Tumor cells; Biochemistry; Chromatography; Genetics","score_opus":0.04301803725511876,"score_gpt":0.36523570173637554,"score_spread":0.32221766448125677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889420165","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004992638,0.8533901,0.14029624,0.00004747452,0.000024235862,0.0055260565,0.00045597326,0.000040933264,0.00021399015],"genre_scores_gemma":[0.0000025406075,0.6397764,0.35140255,0.000027265338,0.00013841003,0.008338356,0.00020559032,0.00007041479,0.000038492366],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605006,0.00008274416,0.00243212,0.0006975005,0.00031846558,0.0004190947],"domain_scores_gemma":[0.99472743,0.0004705688,0.0026060436,0.0018583807,0.00027753733,0.00006005574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012286598,0.00061824964,0.003690258,0.00036145415,0.00010395567,0.000020579038,0.0015105669,0.0004041022,0.00029777273],"category_scores_gemma":[0.0004280787,0.00043098838,0.0022178972,0.001936159,0.00021039697,0.00007019604,0.00020556145,0.0005606454,0.0000035186204],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006610789,0.0004742721,0.000004554477,0.54031795,0.004613128,0.0000032635137,0.00019984583,0.000012123317,0.09100036,0.0068556145,0.00045254725,0.3560002],"study_design_scores_gemma":[0.00021060072,0.000096640324,1.6775982e-7,0.15329808,0.0040091253,0.0000059493696,0.000035682107,0.00016431235,0.06914112,0.0010439919,0.7711823,0.0008120015],"about_ca_topic_score_codex":0.000031553616,"about_ca_topic_score_gemma":0.0000029134374,"teacher_disagreement_score":0.7707298,"about_ca_system_score_codex":0.00028457146,"about_ca_system_score_gemma":0.00032071566,"threshold_uncertainty_score":0.9998142},"labels":[],"label_agreement":null},{"id":"W2890662474","doi":"10.1074/mcp.ra118.000822","title":"A Quantitative Chemical Proteomic Strategy for Profiling Phosphoprotein Phosphatases from Yeast to Humans","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; V Foundation for Cancer Research","keywords":"Phosphatase; Phosphorylation; Kinase; Phosphoprotein; Serine; Biochemistry; Protein phosphorylation; Threonine; Protein phosphatase 2; Dephosphorylation; Chemistry; Biology; Cell biology; Protein kinase A","score_opus":0.022561503264941652,"score_gpt":0.2969672394433533,"score_spread":0.27440573617841163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890662474","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55217326,0.00012137382,0.4436273,0.000099073055,0.00002382739,0.002636816,0.0008421546,0.00020119247,0.00027498545],"genre_scores_gemma":[0.44305813,0.000004993281,0.5508241,0.00014114435,0.00019499019,0.004913763,0.0005978098,0.00012369413,0.00014136902],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971839,0.000025099498,0.0006268453,0.0011405548,0.00030502758,0.00071856746],"domain_scores_gemma":[0.9980285,0.000037205544,0.0002936683,0.001030112,0.00033269945,0.00027781312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020581456,0.0005184305,0.0004677783,0.00007707792,0.00030184034,0.00014235608,0.0007528371,0.00032674952,0.00023515016],"category_scores_gemma":[0.00014371834,0.00056945934,0.00024522966,0.00027257475,0.00023553714,0.00013061146,0.00024880553,0.00038756093,0.00012472174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040383145,0.00014684234,0.000029747738,0.00007711149,0.00006470867,0.0000107938195,0.00010957157,0.00008010234,0.98512316,0.012915277,0.00010471824,0.00093415554],"study_design_scores_gemma":[0.00074926676,0.00024947937,0.0000017047098,0.00012197433,0.000056580608,0.0000026717748,0.00009758868,0.002416115,0.9707996,0.02337217,0.0014306527,0.00070218],"about_ca_topic_score_codex":0.0001763171,"about_ca_topic_score_gemma":0.00000839255,"teacher_disagreement_score":0.10911514,"about_ca_system_score_codex":0.00020491715,"about_ca_system_score_gemma":0.00016577744,"threshold_uncertainty_score":0.9996757},"labels":[],"label_agreement":null},{"id":"W2890847148","doi":"10.1016/j.clinms.2018.08.005","title":"Corrigendum to “Manipulating trypsin digestion conditions to accelerate proteolysis and simplify digestion workflows in development of protein mass spectrometric assays for the clinical laboratory” [Clin. Mass Spectrom. 6C (2018) 1–12]","year":2018,"lang":"en","type":"erratum","venue":"Clinical mass spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Providence Health Care; University of British Columbia","funders":"","keywords":"Digestion (alchemy); Proteolysis; Trypsin; Chemistry; Chromatography; Workflow; Biochemistry; Computer science; Enzyme","score_opus":0.07700816101773994,"score_gpt":0.3768875668126177,"score_spread":0.29987940579487776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890847148","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17467752,0.0010783608,0.7772532,0.0052946806,0.0086461445,0.021073712,0.0027005426,0.0010689395,0.008206869],"genre_scores_gemma":[0.13921298,0.0008193865,0.8249771,0.00042124008,0.0066857194,0.008985438,0.0014871574,0.000517086,0.01689388],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99024546,0.00028650105,0.004726061,0.0024398686,0.0009065555,0.0013955635],"domain_scores_gemma":[0.99266243,0.0017057132,0.0022999248,0.0019637973,0.00063904596,0.00072908023],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0037500276,0.0011224105,0.0022691241,0.0011715192,0.00065251696,0.00027405037,0.0014805044,0.0020657706,0.00046016974],"category_scores_gemma":[0.0054613114,0.0010237476,0.00061415543,0.0033702059,0.0004315565,0.0002198045,0.00045972122,0.0036195419,0.00006678098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004370142,0.00569844,0.065953866,0.0044283015,0.003194149,0.0001008455,0.00051068264,0.00026886817,0.6619995,0.012134652,0.19985637,0.041484166],"study_design_scores_gemma":[0.0106871035,0.007166723,0.100441255,0.00959085,0.0023852393,0.000033012242,0.0010749704,0.004847235,0.2471941,0.089931354,0.5154975,0.01115064],"about_ca_topic_score_codex":0.000024447027,"about_ca_topic_score_gemma":0.00010708092,"teacher_disagreement_score":0.4148054,"about_ca_system_score_codex":0.0010332121,"about_ca_system_score_gemma":0.0009590423,"threshold_uncertainty_score":0.9992297},"labels":[],"label_agreement":null},{"id":"W2892872231","doi":"10.15835/nbha47111133","title":"The Proteome Response of Salt-Sensitive Rapeseed (Brassica napus L.) Genotype to Salt Stress","year":2018,"lang":"en","type":"article","venue":"Notulae Botanicae Horti Agrobotanici Cluj-Napoca","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Rapeseed; Seedling; Brassica; Spots; Proline; Proteome; Shoot; Horticulture; Biology; Food science; Enzyme; Dry weight; Chemistry; Enzyme assay; Botany; Agronomy; Biochemistry; Amino acid","score_opus":0.012676904476311483,"score_gpt":0.2811438620485756,"score_spread":0.26846695757226413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892872231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9463901,0.00040791827,0.04028321,0.0040500136,0.00023912141,0.0026546859,0.0004066287,0.0007782477,0.004790086],"genre_scores_gemma":[0.9680944,0.00012291419,0.028457124,0.00044033604,0.0005351809,0.0006765581,0.000027900116,0.00018797463,0.0014576283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99514335,0.00021031107,0.0014318984,0.0012137962,0.0008290918,0.0011715272],"domain_scores_gemma":[0.994235,0.0009312267,0.0008296443,0.0026417323,0.0008827139,0.00047969943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00092816865,0.0006950178,0.0008068299,0.000095297735,0.0009439176,0.00013345448,0.0015320447,0.00047241323,0.00024087541],"category_scores_gemma":[0.000987189,0.0005740741,0.00036004998,0.0009773414,0.000957666,0.00018113428,0.00069329457,0.000755599,0.00021531298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003427475,0.00022453476,0.00018100359,0.000041083866,0.00015501262,0.000017339089,0.00033884414,0.000059538776,0.9851847,0.0045379247,0.0011171362,0.0047153546],"study_design_scores_gemma":[0.0007104283,0.0006461381,0.0016227042,0.00021033557,0.00010198022,0.000038968934,0.0003005414,0.00059881463,0.97272545,0.0020206864,0.02021804,0.00080592127],"about_ca_topic_score_codex":0.00014231204,"about_ca_topic_score_gemma":0.00054096145,"teacher_disagreement_score":0.021704298,"about_ca_system_score_codex":0.00039589562,"about_ca_system_score_gemma":0.00030482316,"threshold_uncertainty_score":0.99967104},"labels":[],"label_agreement":null},{"id":"W2895694428","doi":"10.1186/s13024-018-0282-4","title":"Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease","year":2018,"lang":"en","type":"article","venue":"Molecular Neurodegeneration","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":263,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Weston Brain Institute; BrightFocus Foundation; Alzheimer’s Research UK; National Institute of Neurological Disorders and Stroke; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research","keywords":"Proteome; Proteomics; Tandem mass tag; Disease; Biology; Alzheimer's disease; Computational biology; Quantitative proteomics; RNA splicing; RNA-binding protein; Bioinformatics; RNA; Medicine; Neuroscience; Pathology; Genetics; Gene","score_opus":0.011922331957733954,"score_gpt":0.26063842868927073,"score_spread":0.24871609673153677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895694428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81684923,0.000104890976,0.18183263,0.00035956892,0.0000064533488,0.00067245023,0.000044109223,0.000060415583,0.00007025456],"genre_scores_gemma":[0.98739433,0.000014498336,0.011301663,0.00018368982,0.000061558334,0.00055859453,0.00040866196,0.000039214752,0.000037782134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998621,0.00007634063,0.0003930375,0.0004724137,0.00019400848,0.00024320133],"domain_scores_gemma":[0.9989758,0.00002874828,0.0002873911,0.0004378885,0.00011829467,0.00015189384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644332,0.00019443415,0.0002532384,0.00018434758,0.00020989458,0.000058833637,0.00010978226,0.000061521896,0.000019075916],"category_scores_gemma":[0.00014243701,0.00019927855,0.000073572606,0.00086495077,0.0000849831,0.00013203395,0.00005342634,0.00013917945,7.32737e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066372784,0.00007718325,0.0054939482,0.00001539054,0.00012571404,0.000011083287,0.000055414977,0.05454358,0.9376395,0.0015043558,0.0000121095645,0.00045535696],"study_design_scores_gemma":[0.00039139806,0.00005346451,0.010310665,0.00013965913,0.0007881237,4.26544e-7,0.000005018844,0.29666534,0.69016975,0.0011466163,0.00000986355,0.00031967243],"about_ca_topic_score_codex":0.000030520012,"about_ca_topic_score_gemma":0.0001210591,"teacher_disagreement_score":0.24746974,"about_ca_system_score_codex":0.00005173625,"about_ca_system_score_gemma":0.000052997195,"threshold_uncertainty_score":0.81263435},"labels":[],"label_agreement":null},{"id":"W2896317839","doi":"10.1101/438309","title":"DIAlignR provides precise retention time alignment across distant runs in DIA and targeted proteomics","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Residual; Computer science; Elution; Pairwise comparison; Artificial intelligence; Algorithm; Chromatography; Chemistry","score_opus":0.010905537279979546,"score_gpt":0.2396969798800152,"score_spread":0.22879144260003564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896317839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98889345,0.00038058517,0.006904552,0.0001293554,0.000118605756,0.0019896142,0.0009987615,0.00055822404,0.000026881879],"genre_scores_gemma":[0.9363311,0.00047433117,0.059487738,0.000031004944,0.00030246252,0.0031701808,0.0000061729306,0.00016613558,0.000030900777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968513,0.000042859654,0.0007773679,0.0013556967,0.00030555262,0.0006671865],"domain_scores_gemma":[0.99739724,0.000042104526,0.00062582747,0.0014433347,0.00025116687,0.00024033304],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053180795,0.00061879406,0.0005906907,0.000097218326,0.00021939281,0.0002673569,0.00054540765,0.0007196371,0.00005724524],"category_scores_gemma":[0.00015275352,0.00067921134,0.00012343367,0.00025199278,0.00026341274,0.00017769,0.0008856726,0.0007026114,0.000026093485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062290484,0.00015402606,0.0022947935,0.0005034319,0.000043899123,0.000010895034,0.000027959059,0.000011910715,0.9965889,0.00019126119,0.00010515656,0.0000055111545],"study_design_scores_gemma":[0.00045338774,0.00003116627,0.0032135309,0.00073216826,0.000046986912,2.3507669e-8,0.000004014753,0.00066480873,0.9912884,0.00019275426,0.002548781,0.0008239546],"about_ca_topic_score_codex":0.00006116052,"about_ca_topic_score_gemma":0.0000073434476,"teacher_disagreement_score":0.052583184,"about_ca_system_score_codex":0.00057128165,"about_ca_system_score_gemma":0.00023109323,"threshold_uncertainty_score":0.9995659},"labels":[],"label_agreement":null},{"id":"W2897187557","doi":"10.1007/978-1-4939-8728-3_6","title":"Quantification of Vitamin B12-Related Proteins in Marine Microbial Systems Using Selected Reaction Monitoring Mass Spectrometry","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mass spectrometry; Computational biology; Vitamin B12; Chemistry; Proteomics; Selected reaction monitoring; Biology; Chromatography; Biochemistry; Environmental chemistry; Tandem mass spectrometry","score_opus":0.02460713548546498,"score_gpt":0.37706581172350084,"score_spread":0.35245867623803584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897187557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4505701,0.00002739159,0.5489306,0.0000085445445,0.00006341067,0.00020686659,0.0000038978246,0.000033864824,0.00015533253],"genre_scores_gemma":[0.361325,0.000013189919,0.63848424,0.0000011373999,0.000035672227,0.000074593256,0.000024614521,0.000017393415,0.000024135134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985898,0.00024819406,0.0005189472,0.00036748027,0.000046750705,0.00022882287],"domain_scores_gemma":[0.9991433,0.000060657192,0.0002857738,0.0003748228,0.00011282677,0.000022607544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102577,0.00013704333,0.00027047578,0.00025367166,0.00003408663,0.000007064285,0.00017367226,0.0003131797,0.000014295723],"category_scores_gemma":[0.0002083488,0.0001526354,0.000035675224,0.00081557874,0.00010330337,0.000030647643,0.00006318709,0.00029765585,0.0000010959582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027405385,0.000050263192,0.0055093956,0.000044236298,0.000013290623,0.0000016925117,0.000022051358,0.00006172809,0.9915953,0.0011700683,1.994204e-7,0.001504337],"study_design_scores_gemma":[0.0002472238,0.000036517926,0.00038087653,0.000067706584,0.000009503706,0.000012438497,0.000029957244,0.0023004329,0.99376506,0.0029610384,0.00005249851,0.00013676041],"about_ca_topic_score_codex":0.00039134332,"about_ca_topic_score_gemma":0.000005683188,"teacher_disagreement_score":0.089553684,"about_ca_system_score_codex":0.00021134087,"about_ca_system_score_gemma":0.00003485936,"threshold_uncertainty_score":0.62242913},"labels":[],"label_agreement":null},{"id":"W2898543703","doi":"10.1016/j.jchromb.2018.10.022","title":"Chromatographic separation strategies for precision mass spectrometry to study protein-protein interactions and protein phosphorylation","year":2018,"lang":"en","type":"review","venue":"Journal of Chromatography B","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Protein phosphorylation; Proteomics; Fractionation; Phosphorylation; Mass spectrometry; Chromatography; Protein purification; Quantitative proteomics; Computational biology; Chromatographic separation; Peptide; Protein–protein interaction; Biochemistry; Protein kinase A; Biology; High-performance liquid chromatography","score_opus":0.027408463239036552,"score_gpt":0.363815108762708,"score_spread":0.33640664552367144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898543703","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06744317,0.7277375,0.19106767,0.00005132067,0.0001196093,0.012564154,0.00018868153,0.00023572474,0.0005921936],"genre_scores_gemma":[0.05408694,0.5074642,0.42446125,0.000014243216,0.0014534498,0.011682676,0.00013062739,0.00040565635,0.0003009683],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657583,0.00009491566,0.0018229592,0.00062882865,0.0004996864,0.00037775037],"domain_scores_gemma":[0.9959855,0.00010533315,0.0024893582,0.00065630605,0.0005216882,0.00024178758],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006271447,0.0006670122,0.0015261178,0.0012272944,0.0003576468,0.00035333555,0.0005688656,0.00035425907,0.000090104804],"category_scores_gemma":[0.000081081445,0.00057093066,0.0008977294,0.0012708842,0.000104208644,0.00057908474,0.00009327109,0.00071718753,0.0000053649196],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011291957,0.0049122674,0.00013118728,0.04640484,0.0057977913,0.000070005466,0.0013173666,0.000012023939,0.36860824,0.012209097,0.0014863783,0.5579216],"study_design_scores_gemma":[0.0017778705,0.003278819,0.000022108326,0.03859712,0.0018615035,0.0003754247,0.0008331898,0.000032249605,0.052552275,0.055342652,0.843405,0.0019217829],"about_ca_topic_score_codex":0.0000062178237,"about_ca_topic_score_gemma":0.000007232263,"teacher_disagreement_score":0.84191865,"about_ca_system_score_codex":0.00014105294,"about_ca_system_score_gemma":0.00026359034,"threshold_uncertainty_score":0.9996742},"labels":[],"label_agreement":null},{"id":"W2899438339","doi":"10.1021/acs.analchem.8b04417","title":"Enrichment of Phosphorylated Peptides with Metal–Organic Framework Nanosheets for Serum Profiling of Diabetes and Phosphoproteomics Analysis","year":2018,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Nanjing Medical University; Jiangsu Provincial Department of Education; Nanjing University; China Association for Science and Technology; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Chemistry; Phosphoprotein; Lysis; Phosphopeptide; Phosphoproteomics; Selectivity; Nanomaterials; Peptide; Chromatography; Phosphorylation; Biochemistry; Nanotechnology; Protein phosphorylation; Protein kinase A; Catalysis","score_opus":0.007975593667845124,"score_gpt":0.2573662046328151,"score_spread":0.24939061096497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899438339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9653279,0.0001424092,0.03335476,0.000052667252,0.0000027058345,0.00018275455,0.000105958665,0.000050396797,0.0007804324],"genre_scores_gemma":[0.8922212,0.00003169483,0.10736121,0.000016824326,0.000037044105,0.00008665697,0.0000436025,0.000025503583,0.00017625005],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987252,0.0000031354912,0.0004304641,0.00040550626,0.00016924224,0.0002664575],"domain_scores_gemma":[0.99868625,0.00014174759,0.0002927499,0.0004876566,0.0002864738,0.00010512115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011714888,0.00020886549,0.0004994035,0.000032647622,0.00007481668,0.000013345519,0.00020910695,0.00021368929,0.00030228044],"category_scores_gemma":[0.00012648328,0.00018263081,0.00015846179,0.00052734866,0.0003767467,0.000042927095,0.00008531908,0.00017416177,5.041606e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000577912,0.00010804813,0.024205586,0.00041415635,0.0008311926,2.5883452e-7,0.000037686317,0.000019905136,0.97331387,0.0007857099,0.000008295364,0.00021750915],"study_design_scores_gemma":[0.00023162874,0.000056926157,0.00012462595,0.000082274935,0.0009507084,6.9962704e-7,0.000087515495,0.0063366704,0.98808575,0.0037899911,0.000048127607,0.00020508112],"about_ca_topic_score_codex":0.000004816209,"about_ca_topic_score_gemma":8.729042e-7,"teacher_disagreement_score":0.07400645,"about_ca_system_score_codex":0.000038672573,"about_ca_system_score_gemma":0.000046775356,"threshold_uncertainty_score":0.74474686},"labels":[],"label_agreement":null},{"id":"W2900613415","doi":"10.1002/pro.3551","title":"Engineered SH2 domains with tailored specificities and enhanced affinities for phosphoproteome analysis","year":2018,"lang":"en","type":"article","venue":"Protein Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Western University; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"SH2 domain; Proto-oncogene tyrosine-protein kinase Src; Proteome; Chemistry; Computational biology; Biochemistry; Affinities; FYN; Protein–protein interaction; Human proteome project; Biology; Phosphorylation; Proteomics; Gene","score_opus":0.011336558095572675,"score_gpt":0.25745569620268305,"score_spread":0.24611913810711036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900613415","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4926719,0.000045341247,0.5034916,0.00009517858,0.0000061155297,0.00054367876,0.00003532017,0.00014076362,0.0029701095],"genre_scores_gemma":[0.76757723,0.000012042487,0.2302851,0.000016674152,0.00006686121,0.0013030866,0.000004558667,0.000013028477,0.00072144327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987193,0.0000026968912,0.0001840377,0.00049527,0.00024640857,0.00035230542],"domain_scores_gemma":[0.9990582,0.000035088247,0.000115732655,0.00043163105,0.00026261728,0.00009672084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002044049,0.00016265771,0.00019884936,0.00014347957,0.00048325548,0.00013249705,0.00036936844,0.000048961934,0.00012474609],"category_scores_gemma":[0.000065360786,0.00013602809,0.00004492534,0.0008917661,0.0013833473,0.00030316782,0.000083306506,0.000084899475,0.0000030953106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006954842,0.00001894303,0.00003645886,0.000033055658,0.000027769573,3.004878e-7,0.00038632358,0.000024021318,0.9780009,0.019402526,0.000004109666,0.0019960345],"study_design_scores_gemma":[0.00021763406,0.00008930563,0.000023773837,0.00002845173,0.000036719954,0.0000015535253,0.00041746968,0.0013276835,0.9874317,0.009211545,0.000996743,0.00021742575],"about_ca_topic_score_codex":0.000018542245,"about_ca_topic_score_gemma":0.000016327474,"teacher_disagreement_score":0.27490532,"about_ca_system_score_codex":0.000057655823,"about_ca_system_score_gemma":0.00007574464,"threshold_uncertainty_score":0.55470645},"labels":[],"label_agreement":null},{"id":"W2900884817","doi":"10.1038/s41596-018-0082-x","title":"Single-pot, solid-phase-enhanced sample preparation for proteomics experiments","year":2018,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2013,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Chaotropic agent; Sample preparation; Chromatography; Proteomics; Lysis; Protein purification; Reagent; Chemistry; Computer science; Materials science; Nanotechnology; Biochemistry","score_opus":0.03518943859435803,"score_gpt":0.4472757441547395,"score_spread":0.41208630556038145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900884817","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015941458,0.000014996371,0.8548861,0.00013444205,0.000036036072,0.12182332,0.00024305329,0.0005314752,0.006389117],"genre_scores_gemma":[0.13161694,5.699185e-7,0.3870028,0.00013630584,0.0004956319,0.4801132,0.00012108057,0.000043779848,0.00046969528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864775,0.000008729192,0.00034680837,0.0004929476,0.00017559326,0.00032819188],"domain_scores_gemma":[0.99867254,0.00006179125,0.00026825702,0.0005898138,0.0003257524,0.0000818631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108237655,0.00022497623,0.0002120002,0.000037024773,0.00027467147,0.00007818499,0.0003348797,0.00048062624,0.00016037856],"category_scores_gemma":[0.00019839377,0.00021971803,0.0000921383,0.00012439761,0.00009651911,0.00017433643,0.00006817395,0.00032552646,0.000012130035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005383704,0.00033160465,0.000007774389,0.000085270935,0.000014016689,1.06174596e-7,0.00012358304,0.0000021244582,0.99081886,0.0024923368,0.0012082319,0.004377731],"study_design_scores_gemma":[0.0012418699,0.00037272167,4.0856796e-7,0.00008934286,0.0000064509895,0.0000013829651,0.000013068569,0.00048240586,0.8445006,0.01815705,0.13491164,0.00022306653],"about_ca_topic_score_codex":0.0000027974809,"about_ca_topic_score_gemma":0.0000041700687,"teacher_disagreement_score":0.46788332,"about_ca_system_score_codex":0.00014921432,"about_ca_system_score_gemma":0.00006498852,"threshold_uncertainty_score":0.8959841},"labels":[],"label_agreement":null},{"id":"W2901443756","doi":"10.1038/s41598-018-35321-7","title":"Obesity shows preserved plasma proteome in large independent clinical cohorts","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; Canadian Heart Research Centre; University of Ottawa","funders":"Sixth Framework Programme; European Commission","keywords":"Proteome; Obesity; Computational biology; Bioinformatics; Medicine; Biology; Internal medicine","score_opus":0.02938251628761584,"score_gpt":0.3305929145065442,"score_spread":0.30121039821892837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901443756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855239,0.000015826188,0.002120554,0.00006892009,0.0007853689,0.00069193006,0.000014688035,0.00021117863,0.010567645],"genre_scores_gemma":[0.98141843,0.0000037912346,0.008440315,0.000021109083,0.00019859528,0.000366871,0.00006573743,0.000022913579,0.009462226],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99699074,0.000029643465,0.0009549605,0.0011082845,0.00045104316,0.00046532459],"domain_scores_gemma":[0.99759847,0.000032940716,0.00042704536,0.0015718387,0.00019773688,0.00017196682],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023223585,0.00017021161,0.0002790042,0.00008469453,0.0003254535,0.00014742203,0.00032656605,0.00022739677,0.0011664947],"category_scores_gemma":[0.00028042338,0.00016409601,0.00011563014,0.0003306851,0.00035730348,0.00018869598,0.00034471354,0.0003902111,0.000055235185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041995998,0.0010402354,0.83524644,0.00007289613,0.000020715548,0.00036943762,0.0001581446,0.000009180213,0.15249737,0.0006120803,0.008607439,0.0013240392],"study_design_scores_gemma":[0.00045785625,0.00003965197,0.012741327,0.00010885682,0.000015336747,0.00013878547,0.000051344563,0.001068344,0.79889995,0.049256843,0.13675241,0.00046926443],"about_ca_topic_score_codex":0.000031559997,"about_ca_topic_score_gemma":0.0003563275,"teacher_disagreement_score":0.8225051,"about_ca_system_score_codex":0.00009031382,"about_ca_system_score_gemma":0.00015574483,"threshold_uncertainty_score":0.99974656},"labels":[],"label_agreement":null},{"id":"W2902294516","doi":"10.1021/acs.jproteome.8b00885","title":"Toward Completion of the Human Proteome Parts List: Progress Uncovering Proteins That Are Missing or Have Unknown Function and Developing Analytical Methods","year":2018,"lang":"en","type":"editorial","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Proteome; Library science; Function (biology); Medicine; World Wide Web; Bioinformatics; Biology; Computer science; Genetics","score_opus":0.18492093284254274,"score_gpt":0.47736591470052636,"score_spread":0.2924449818579836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902294516","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13187718,0.004288757,0.7255463,0.011364332,0.09453482,0.028637338,0.00068255776,0.0005087335,0.002559988],"genre_scores_gemma":[0.059194308,0.0005530983,0.5973737,0.000015684696,0.33690158,0.0025058896,0.000079523044,0.00038921964,0.002986993],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946826,0.0005049958,0.0012664829,0.00059005804,0.0022992834,0.0006565771],"domain_scores_gemma":[0.9935068,0.00058188784,0.0021926286,0.00071024464,0.0027863192,0.0002221019],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0052444898,0.00042753658,0.00095814,0.000392964,0.00078715576,0.00030132284,0.001009192,0.0009181554,0.000099869285],"category_scores_gemma":[0.0024397457,0.0002860346,0.0002632143,0.0005415234,0.00095579925,0.00029137262,0.00076167757,0.0035789346,9.4700783e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006625111,0.0018161344,0.006153862,0.045524333,0.0023207013,0.00021696453,0.0021664998,0.00008922065,0.71928746,0.003565602,0.17728332,0.034950793],"study_design_scores_gemma":[0.0015460453,0.0009003148,0.00030895817,0.013609822,0.00021727927,0.000116792056,0.0003663526,0.00037013798,0.41627744,0.025706112,0.53975743,0.0008233176],"about_ca_topic_score_codex":0.000046440764,"about_ca_topic_score_gemma":0.000019146508,"teacher_disagreement_score":0.3624741,"about_ca_system_score_codex":0.00083099847,"about_ca_system_score_gemma":0.0011863947,"threshold_uncertainty_score":0.9999592},"labels":[],"label_agreement":null},{"id":"W2902631226","doi":"10.1373/clinchem.2018.293530","title":"A Streamlined Method for Quantification of Apolipoprotein A1 in Human Plasma by LC-MS/MS","year":2018,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Providence Health Care; St. Paul's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"Human plasma; Chromatography; Apolipoprotein B; Chemistry; Biochemistry; Cholesterol","score_opus":0.05774470998526898,"score_gpt":0.41355888694854537,"score_spread":0.3558141769632764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902631226","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32605308,0.0006804864,0.32546785,0.28481165,0.00044053205,0.007716276,0.0193406,0.0019460362,0.033543497],"genre_scores_gemma":[0.0376311,0.00041485328,0.73989296,0.046798468,0.025867913,0.01317052,0.05223729,0.001159367,0.082827516],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99610883,0.000038931237,0.0019589402,0.001160978,0.00026117562,0.00047111616],"domain_scores_gemma":[0.99589694,0.0008626009,0.0013716455,0.0015304071,0.00023324574,0.000105144514],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006356409,0.00047708472,0.0009836969,0.00003549897,0.000090603324,0.000028415383,0.0009655559,0.0028115069,0.00047552417],"category_scores_gemma":[0.0006127705,0.0005158667,0.00047810952,0.00014392458,0.00036057207,0.000042252093,0.00015008781,0.0021179528,0.000007669151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006818177,0.00031038825,0.00021221187,0.0018177447,0.00006975327,0.0000033259244,0.000007685827,0.0000016902352,0.40632796,0.00005051597,0.5888022,0.002328318],"study_design_scores_gemma":[0.00059174956,0.00002846937,0.0000011683987,0.0002101148,0.00005086024,0.0000019742527,0.0000048598104,0.00034634967,0.61832523,0.0036626933,0.37642956,0.00034697787],"about_ca_topic_score_codex":0.00006800031,"about_ca_topic_score_gemma":0.000005029082,"teacher_disagreement_score":0.41442513,"about_ca_system_score_codex":0.00012622353,"about_ca_system_score_gemma":0.00012167052,"threshold_uncertainty_score":0.9997293},"labels":[],"label_agreement":null},{"id":"W2903079243","doi":"10.1186/s12014-018-9211-3","title":"The plasma peptidome","year":2018,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Kingston General Hospital; Mount Sinai Hospital; St. Boniface Hospital; St. Michael's Hospital; McMaster University; Toronto Metropolitan University; Ottawa Hospital; Clinical Evaluation Research Unit; University of Manitoba; Ontario Institute for Cancer Research; University of Toronto","funders":"Ontario Institute for Cancer Research; Integrated BioBank of Luxembourg; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Chemistry; Chromatography; Electrospray ionization; Mass spectrometry; Ex vivo; Formic acid; Tandem mass spectrometry; Human plasma; Protein mass spectrometry; Electrospray; Biochemistry; In vitro","score_opus":0.04115798562466132,"score_gpt":0.3743548914672244,"score_spread":0.33319690584256306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903079243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82950896,0.00005232199,0.08065438,0.0034062937,0.00029473356,0.0007575646,0.0000326241,0.0006232814,0.084669836],"genre_scores_gemma":[0.7078154,0.0004224151,0.27785325,0.0005406873,0.0028123478,0.00061497546,0.000013205463,0.000068301975,0.009859386],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987633,0.000017967808,0.00052514725,0.00031104087,0.000110442284,0.00027206933],"domain_scores_gemma":[0.998453,0.00038084158,0.00019106838,0.00074727373,0.00011673323,0.00011105258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047572528,0.00012388123,0.00015113251,0.000009223042,0.0004959397,0.00005604992,0.00054111425,0.00019031746,0.00017006343],"category_scores_gemma":[0.00049407134,0.000087539804,0.00012956565,0.00009076351,0.0007339663,0.000047599697,0.0001777722,0.00045844205,0.00038249147],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012799425,0.0009123643,0.017276004,0.000102385595,0.00024227597,0.000010889409,0.00020122052,0.000013634409,0.26469287,0.28978485,0.05429642,0.37118715],"study_design_scores_gemma":[0.0006568624,0.00013852565,0.00015927502,0.000030396026,0.000018407449,0.000010869445,0.000041665724,0.0027317638,0.24398367,0.1091888,0.6427083,0.00033147432],"about_ca_topic_score_codex":0.0000030426431,"about_ca_topic_score_gemma":0.000006442752,"teacher_disagreement_score":0.58841187,"about_ca_system_score_codex":0.00003218341,"about_ca_system_score_gemma":0.00005225781,"threshold_uncertainty_score":0.49162817},"labels":[],"label_agreement":null},{"id":"W290393995","doi":"10.1016/j.ymeth.2015.05.001","title":"Proteomics methods for discovering viral–host interactions","year":2015,"lang":"en","type":"review","venue":"Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research; Cancer Research Society","keywords":"Proteomics; Computational biology; Biology; Host (biology); Host factors; Virology; Virus; Genetics; Gene","score_opus":0.1584630271637401,"score_gpt":0.5620138466117155,"score_spread":0.4035508194479754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W290393995","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.7367926e-8,0.4540322,0.5413093,0.00001444638,0.00010806924,0.0010034408,0.00017503633,0.00018021208,0.0031772607],"genre_scores_gemma":[3.3727796e-9,0.46444207,0.52613086,0.000009175384,0.0002546013,0.006382306,0.00015978893,0.00011068015,0.0025104817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766546,0.00026510347,0.0008617393,0.0007190724,0.0000897606,0.00039884876],"domain_scores_gemma":[0.9969145,0.0009780334,0.0007141865,0.0011030228,0.00013247527,0.00015774698],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016793923,0.0005640239,0.0016524078,0.00012393954,0.00019122573,0.00009810671,0.0006899559,0.0004364417,0.00011907956],"category_scores_gemma":[0.000551597,0.0004987532,0.00077556656,0.0002368881,0.000069670816,0.00015315965,0.00032901875,0.0008616647,0.00001300082],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004985594,0.000033706096,3.960366e-8,0.0057114256,0.00008288639,2.669139e-7,0.0000228323,0.000001320477,0.0025265552,0.0022802278,0.00023022201,0.9891055],"study_design_scores_gemma":[0.00009156739,0.000013453472,3.2747853e-9,0.0020400817,0.00050029054,0.000027946293,0.0000146910825,0.00022452987,0.013593893,0.012927422,0.9700386,0.0005275041],"about_ca_topic_score_codex":0.000012455732,"about_ca_topic_score_gemma":9.950693e-7,"teacher_disagreement_score":0.988578,"about_ca_system_score_codex":0.00047843164,"about_ca_system_score_gemma":0.0002582535,"threshold_uncertainty_score":0.9997464},"labels":[],"label_agreement":null},{"id":"W2904132651","doi":"10.1101/501908","title":"High-flow Nano-chromatography Columns Facilitate Rapid and High-quality Proteome Analysis on Standard Nano-LC Hardware","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Prevention of Organ Failure; Canada's Michael Smith Genome Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Throughput; Proteome; Chromatography; Computer science; Data acquisition; Mass spectrometry; Overhead (engineering); Fractionation; Computer hardware; Chemistry","score_opus":0.015275344121819428,"score_gpt":0.2470178533527018,"score_spread":0.23174250923088235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904132651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95669794,0.00041775472,0.026746664,0.00024573944,0.0001958123,0.0015557179,0.012678349,0.0014253332,0.00003670681],"genre_scores_gemma":[0.8631659,0.00056562293,0.13339563,0.00011183436,0.00029380256,0.0022413314,0.000018286184,0.00017976326,0.000027838149],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946256,0.00015321567,0.0011948742,0.0023722772,0.0007735983,0.00088038534],"domain_scores_gemma":[0.9940999,0.00012548381,0.0010791998,0.003279421,0.0009080024,0.0005079566],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008465504,0.0011042762,0.0016211352,0.0005567697,0.00058893056,0.00040179765,0.0009575908,0.001073532,0.00047559582],"category_scores_gemma":[0.00018122379,0.0012124366,0.00055912964,0.0013061758,0.00055391784,0.0001809955,0.000796427,0.0011173264,0.000038992563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021981001,0.0002331471,0.0039235787,0.0011861154,0.0016792987,0.000017129638,0.000019290432,0.00013995457,0.9904074,0.0016843368,0.00047323585,0.000016706927],"study_design_scores_gemma":[0.0008100747,0.00012289114,0.0077535547,0.00043492988,0.0008544289,2.1482782e-8,0.0000053787535,0.000116474694,0.976496,0.00020968523,0.0115687195,0.0016278601],"about_ca_topic_score_codex":0.00027411082,"about_ca_topic_score_gemma":0.000015976922,"teacher_disagreement_score":0.10664896,"about_ca_system_score_codex":0.0003781567,"about_ca_system_score_gemma":0.00034944265,"threshold_uncertainty_score":0.99903256},"labels":[],"label_agreement":null},{"id":"W2906249112","doi":"10.1186/s12014-018-9215-z","title":"The plasma peptides of ovarian cancer","year":2018,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Kingston General Hospital; Mount Sinai Hospital; St. Boniface Hospital; St. Michael's Hospital; McMaster University; Toronto Metropolitan University; Ottawa Hospital; Clinical Evaluation Research Unit; University of Manitoba; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research","keywords":"Tandem mass spectrometry; Chemistry; Electrospray ionization; Ovarian cancer; Chromatography; Mass spectrometry; Isobaric labeling; Proteomics; Blood proteins; Proteome; Cancer; Protein mass spectrometry; Biochemistry; Internal medicine; Medicine","score_opus":0.04664016967617947,"score_gpt":0.3880742192261936,"score_spread":0.34143404955001416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906249112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.946832,0.000082550774,0.031166103,0.001938844,0.0001661073,0.00053934916,0.00006986025,0.00016785704,0.019037306],"genre_scores_gemma":[0.849468,0.00061607006,0.14637865,0.00012771075,0.0009234478,0.0004213613,0.000004940308,0.00003318539,0.002026639],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998844,0.000017058137,0.00059483154,0.00024413558,0.000101687525,0.00019824156],"domain_scores_gemma":[0.9985451,0.00031244816,0.000313564,0.0005886545,0.00016672269,0.00007351861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038616994,0.00010668778,0.00018326721,0.000009598456,0.00023559624,0.00002042468,0.0004507402,0.00016656169,0.00014595439],"category_scores_gemma":[0.00035503827,0.00007636366,0.00012020836,0.000091803886,0.0007424974,0.000038430357,0.00013597845,0.00031629184,0.00002805798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010652902,0.0005894168,0.03876,0.00017557554,0.0002658024,0.0000023324587,0.00021381796,0.000033909888,0.56496066,0.120945044,0.009007066,0.2639811],"study_design_scores_gemma":[0.00052418216,0.00008881682,0.00043840366,0.000067083965,0.000025996298,0.0000023127957,0.000039260034,0.0018373824,0.84640527,0.053132184,0.09723695,0.00020218655],"about_ca_topic_score_codex":0.0000314814,"about_ca_topic_score_gemma":0.000030402844,"teacher_disagreement_score":0.2814446,"about_ca_system_score_codex":0.000027273556,"about_ca_system_score_gemma":0.00008835204,"threshold_uncertainty_score":0.31140196},"labels":[],"label_agreement":null},{"id":"W2906292844","doi":"10.1016/j.ebiom.2018.12.033","title":"Predictive value of targeted proteomics for coronary plaque morphology in patients with suspected coronary artery disease","year":2018,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"European Research Area Network on Cardiovascular Diseases; Novo Nordisk; ZonMw; Singulex; Medicines Company; Edwards Lifesciences; AstraZeneca; Amgen; Pfizer; Abbott Vascular; GlaxoSmithKline","keywords":"Coronary artery disease; Medicine; Proteomics; Cardiology; Predictive value; Internal medicine; Biology","score_opus":0.005828699519977212,"score_gpt":0.24231690144040488,"score_spread":0.23648820192042766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906292844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96344435,0.0000314425,0.03392862,0.0003109505,0.00003352046,0.0013058673,0.0006742913,0.00009533809,0.00017562218],"genre_scores_gemma":[0.96830314,0.000008393038,0.02958847,0.00009344149,0.00013112517,0.0006709362,0.0010653526,0.000036424863,0.00010269147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890894,0.000011040985,0.00033833974,0.0003428667,0.00014756166,0.00025127188],"domain_scores_gemma":[0.99904585,0.000060468577,0.00019722954,0.00037104927,0.0002084919,0.00011693184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064386135,0.00017536643,0.00026769328,0.00009799811,0.000056525096,0.0000021093645,0.0001805317,0.00010375426,0.00013554962],"category_scores_gemma":[0.000046099554,0.00014754245,0.000031615662,0.00020047078,0.00046408686,0.000062227504,0.00005356195,0.00014498459,0.0000019246645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016948553,0.0020489949,0.6891195,0.00040487724,0.0001958536,0.000048846312,0.00049024395,0.000054322012,0.28477845,0.002254937,0.002013485,0.0016419477],"study_design_scores_gemma":[0.012823723,0.0034908166,0.7991656,0.00050125073,0.00013799703,0.000018602612,0.00013910484,0.003025562,0.16615446,0.013048194,0.00092766393,0.0005670442],"about_ca_topic_score_codex":0.000012728768,"about_ca_topic_score_gemma":0.000003595503,"teacher_disagreement_score":0.11862398,"about_ca_system_score_codex":0.00010611217,"about_ca_system_score_gemma":0.000090520705,"threshold_uncertainty_score":0.60166067},"labels":[],"label_agreement":null},{"id":"W2906978943","doi":"10.1074/mcp.e118.001286","title":"Initial Guidelines for Manuscripts Employing Data-independent Acquisition Mass Spectrometry for Proteomic Analysis","year":2019,"lang":"en","type":"editorial","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of California, San Francisco; University of Toronto; University of California, San Diego; Buck Institute for Research on Aging; Broad Institute; University of Washington","keywords":"Mass spectrometry; Analyte; Proteomics; Tandem mass spectrometry; Chemistry; Quantitative proteomics; Shotgun proteomics; Fragmentation (computing); Peptide; Chromatography; Computational biology; Computer science; Analytical Chemistry (journal); Biology; Biochemistry","score_opus":0.04759815171186528,"score_gpt":0.3547768383683613,"score_spread":0.30717868665649606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906978943","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004064374,0.0004623678,0.9334006,0.00023084556,0.04054366,0.0074286945,0.013314147,0.00038561173,0.0001697537],"genre_scores_gemma":[0.0007404188,0.00012197729,0.7381535,0.00010252246,0.18514197,0.007951251,0.06593952,0.00047547114,0.0013733244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99332535,0.000058802874,0.0017306675,0.0026651828,0.0011150318,0.0011049822],"domain_scores_gemma":[0.99229884,0.00026789223,0.0015233703,0.0040275543,0.0016595473,0.00022280362],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012127894,0.0011536527,0.0016062297,0.0005921858,0.00039981902,0.00041147994,0.0027337617,0.0022500926,0.00011317823],"category_scores_gemma":[0.0010863042,0.0013153525,0.0012033551,0.0005647336,0.00009813495,0.0002825061,0.00074399315,0.0012918655,0.000025098489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003120737,0.00011017235,0.0000063291636,0.0013206713,0.0014102801,0.000016503818,0.000011098215,0.00064908835,0.8795803,0.00024542955,0.11612513,0.00021289612],"study_design_scores_gemma":[0.00143123,0.000115158706,1.5229095e-7,0.00017786873,0.0026656368,0.0000024391827,0.00001786269,0.010416628,0.8271936,0.0067945886,0.149919,0.0012658222],"about_ca_topic_score_codex":0.00006550458,"about_ca_topic_score_gemma":0.0000067386977,"teacher_disagreement_score":0.19524701,"about_ca_system_score_codex":0.0007374209,"about_ca_system_score_gemma":0.0006655,"threshold_uncertainty_score":0.9990452},"labels":[],"label_agreement":null},{"id":"W2907457790","doi":"10.1101/513663","title":"TargetSeeker-MS: A Computational Method for Drug Target Discovery using Protein Separation Coupled to Mass Spectrometry","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Mass spectrometry; Computational biology; Drug; Chemistry; Benomyl; Drug discovery; Identification (biology); Chromatography; Biology; Biochemistry; Pharmacology; Fungicide","score_opus":0.013827206940407483,"score_gpt":0.2882361467684297,"score_spread":0.27440893982802217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907457790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20422252,0.00015768675,0.7907261,0.00023814965,0.00015018186,0.002639,0.0014316062,0.00042255,0.00001220489],"genre_scores_gemma":[0.32552746,0.000007648112,0.6717004,0.00010487232,0.00039354802,0.0020396537,0.000011287671,0.00016418444,0.000050935807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966617,0.000051243576,0.0007778645,0.0014381234,0.0004356006,0.0006354591],"domain_scores_gemma":[0.99705476,0.0001430177,0.0007363243,0.0012429483,0.0005898244,0.0002331198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005941506,0.00068193115,0.0007609022,0.00027669343,0.00026497885,0.00034650016,0.00066786195,0.00050751644,0.00008252724],"category_scores_gemma":[0.0001616303,0.0008054931,0.0002840151,0.000459019,0.00005124113,0.00029199113,0.00040349024,0.0007456035,0.000025643942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079343896,0.00010957491,0.00023249426,0.000697036,0.00011968536,0.0000026705243,0.0000072831413,0.046596907,0.9488857,0.0030882251,0.00018067959,3.9823988e-7],"study_design_scores_gemma":[0.00046344817,0.000024183868,0.00011696207,0.00037308535,0.00008134386,2.1287589e-8,0.0000035826122,0.1758198,0.81904864,0.00069449516,0.0024332784,0.00094113714],"about_ca_topic_score_codex":0.000057843008,"about_ca_topic_score_gemma":8.6051e-7,"teacher_disagreement_score":0.12983704,"about_ca_system_score_codex":0.00085417845,"about_ca_system_score_gemma":0.00074381573,"threshold_uncertainty_score":0.9994396},"labels":[],"label_agreement":null},{"id":"W2909145847","doi":"10.1002/prca.201700111","title":"Multiplexed LC–ESI–MRM‐MS‐based Assay for Identification of Coronary Artery Disease Biomarkers in Human Plasma","year":2019,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; University of Victoria; Prevention of Organ Failure","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome British Columbia; University of Victoria","keywords":"Coronary artery disease; Receiver operating characteristic; Medicine; Area under the curve; Blood proteins; Internal medicine","score_opus":0.0356990941176079,"score_gpt":0.359288598576801,"score_spread":0.3235895044591931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909145847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63630503,0.00003740362,0.35386184,0.00073473615,0.000042893254,0.0070817466,0.0010151803,0.00024980877,0.00067133666],"genre_scores_gemma":[0.8511043,0.000028490054,0.13277052,0.000086403794,0.000092218586,0.014616218,0.0009628721,0.00006529792,0.0002736589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967983,0.0000499664,0.001748727,0.0008629164,0.0002037447,0.00033634427],"domain_scores_gemma":[0.99654764,0.0008145868,0.00086524064,0.0013528591,0.00021081597,0.00020886259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000883717,0.00026930962,0.00044819852,0.00012710608,0.00015883762,0.000033546254,0.00066005957,0.00030078748,0.00012356298],"category_scores_gemma":[0.00022994303,0.00030192675,0.00031779974,0.0003078905,0.00024710837,0.0001290237,0.00010426501,0.00036238192,0.000044743647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046034114,0.0016448905,0.06280301,0.00047079392,0.00008643549,5.946621e-7,0.000017740189,0.0005618691,0.910834,0.015463195,0.00014529758,0.0075118197],"study_design_scores_gemma":[0.0079754675,0.00018007126,0.02511087,0.0002735331,0.0002515465,0.000003364518,0.00009614048,0.14379367,0.7038538,0.1015306,0.0154280765,0.0015028516],"about_ca_topic_score_codex":0.000012192049,"about_ca_topic_score_gemma":0.00001056182,"teacher_disagreement_score":0.22109132,"about_ca_system_score_codex":0.00012326364,"about_ca_system_score_gemma":0.00017321702,"threshold_uncertainty_score":0.99994326},"labels":[],"label_agreement":null},{"id":"W2911188069","doi":"10.1074/mcp.tir118.000918","title":"Precision De Novo Peptide Sequencing Using Mirror Proteases of Ac-LysargiNase and Trypsin for Large-scale Proteomics","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Trypsin; Proteome; Protease; Proteomics; Proteases; Computational biology; Bottom-up proteomics; Peptide; Tandem mass spectrometry; Chemistry; Peptide sequence; Biology; Biochemistry; Mass spectrometry; Chromatography; Enzyme; Protein mass spectrometry","score_opus":0.013744190952269903,"score_gpt":0.2684076914882703,"score_spread":0.2546635005360004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911188069","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5978702,0.00013026959,0.39884424,0.000038979906,0.000012319155,0.0027769774,0.00013397842,0.00007830106,0.00011479217],"genre_scores_gemma":[0.44449776,0.00001757538,0.55429816,0.000037345693,0.000024822648,0.0007750517,0.00005999151,0.00009438065,0.00019487193],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997735,0.00004276246,0.0006160309,0.00072957453,0.00025698717,0.0006196506],"domain_scores_gemma":[0.9982285,0.000051826573,0.00047196055,0.0008627546,0.00021157473,0.0001734005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045135457,0.00039659016,0.0005003901,0.000108848966,0.00018297415,0.00006389961,0.00038975422,0.00035241264,0.000043770135],"category_scores_gemma":[0.0001168206,0.0004337501,0.00022968938,0.00018885072,0.000088874265,0.00016501028,0.00023691382,0.00035876202,0.000003913032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016808504,0.00011892863,0.00080087746,0.000735007,0.000032201664,0.000009269495,0.00020975915,0.00044805792,0.99640566,0.0009107772,0.0000031770983,0.00015822664],"study_design_scores_gemma":[0.001208753,0.00009218207,0.000004882729,0.00029759717,0.00007220533,0.000048848553,0.00020002198,0.037532657,0.9533131,0.0062518385,0.0005211673,0.00045673194],"about_ca_topic_score_codex":0.000060940085,"about_ca_topic_score_gemma":0.0000055100572,"teacher_disagreement_score":0.15545395,"about_ca_system_score_codex":0.00030555515,"about_ca_system_score_gemma":0.0002766883,"threshold_uncertainty_score":0.9998114},"labels":[],"label_agreement":null},{"id":"W2913584561","doi":"10.3389/fmicb.2019.00238","title":"More Is Not Always Better: Evaluation of 1D and 2D-LC-MS/MS Methods for Metaproteomics","year":2019,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Genome Prairie; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Government of Canada; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Research Manitoba; Genome Canada; Genome Alberta; Canada First Research Excellence Fund; North Carolina State University","keywords":"Metaproteomics; Computational biology; Chromatography; Mass spectrometry; Proteomics; Peptide; Biology; Proteome; Chemistry; Bioinformatics; Computer science; Biochemistry; Gene","score_opus":0.0213598607107588,"score_gpt":0.34264547130336115,"score_spread":0.32128561059260236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913584561","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5406693,0.0007321764,0.4563306,0.0005654278,0.00012261013,0.000970043,0.00027492238,0.000029927658,0.00030493754],"genre_scores_gemma":[0.04118254,0.00012345272,0.9574204,0.00037883015,0.00003311986,0.0004516959,0.00017261431,0.000026245329,0.00021109256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989605,0.00005360086,0.0003416287,0.00038849667,0.000036121044,0.00021968686],"domain_scores_gemma":[0.999193,0.000070088114,0.00021713821,0.0003779099,0.0001158301,0.000026001986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006698167,0.0001534647,0.00037386577,0.00008328203,0.000035951427,0.0000059798563,0.0002120064,0.00027448952,0.000108151224],"category_scores_gemma":[0.000053134325,0.00015456656,0.00007895853,0.00007931901,0.00012956475,0.000059719736,0.00008050445,0.00016912301,0.0000015128206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005304526,0.000023152037,0.002225132,0.0000729822,0.00004212688,3.8277815e-8,0.00013665891,0.000025334342,0.9626909,0.00020929902,0.0016392845,0.03288204],"study_design_scores_gemma":[0.00084019994,0.000030712938,0.000042912092,0.000020206786,0.00007031057,0.0000050698327,0.00009124602,0.0055276705,0.94427073,0.013690222,0.03524233,0.00016839665],"about_ca_topic_score_codex":0.000017113001,"about_ca_topic_score_gemma":0.000001387615,"teacher_disagreement_score":0.5010898,"about_ca_system_score_codex":0.00009497783,"about_ca_system_score_gemma":0.00003982114,"threshold_uncertainty_score":0.6303041},"labels":[],"label_agreement":null},{"id":"W2913959851","doi":"10.1101/543371","title":"Evosep One Enables Robust Quantitative Deep Proteome Coverage using Tandem Mass Tags while Significantly Reducing Instrument Time","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University Health Network; University of Toronto; Princess Margaret Cancer Centre; Canada Research Chairs; Hospital for Sick Children","funders":"","keywords":"Proteome; Workflow; Tandem mass tag; Mass spectrometry; Proteomics; Tandem mass spectrometry; Computational biology; Computer science; Quantitative proteomics; Chromatography; Chemistry; Multiplexing; Fractionation; Biology; Biochemistry; Database","score_opus":0.029931687395214006,"score_gpt":0.24145216099695738,"score_spread":0.21152047360174336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913959851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72569144,0.0005720513,0.2690261,0.00012440779,0.00019022905,0.0024626565,0.00081628194,0.0009270135,0.00018983155],"genre_scores_gemma":[0.7080804,0.00025864382,0.29010066,0.000053215765,0.0002710063,0.0009325475,0.000005056771,0.0002554191,0.00004302695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99563855,0.000084610685,0.0010000027,0.001783772,0.0005901754,0.0009029102],"domain_scores_gemma":[0.9956375,0.00011159419,0.0012567813,0.0020971776,0.0005911831,0.0003057756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005290506,0.0009237064,0.0010581624,0.00023928726,0.00039517658,0.00036181882,0.0009657737,0.0009256756,0.0004104623],"category_scores_gemma":[0.00014983922,0.0010980961,0.00025090418,0.00048210268,0.00017581407,0.0003248467,0.00071623106,0.0014987249,0.00011423108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041986565,0.0001923561,0.0004869262,0.00074684934,0.00020316282,0.000012621228,0.000019352552,0.015320491,0.9820648,0.0008748546,0.000033532782,0.0000030865517],"study_design_scores_gemma":[0.0005134322,0.000048885682,0.00019827513,0.0014791011,0.0001776968,4.8169692e-8,0.0000124924145,0.02378804,0.9712655,0.00008991018,0.0010262833,0.001400328],"about_ca_topic_score_codex":0.000112106274,"about_ca_topic_score_gemma":0.0000011665969,"teacher_disagreement_score":0.02107456,"about_ca_system_score_codex":0.0013008273,"about_ca_system_score_gemma":0.0008129013,"threshold_uncertainty_score":0.99914694},"labels":[],"label_agreement":null},{"id":"W2920103747","doi":"10.1101/566109","title":"Sensitive determination of proteolytic proteoforms in limited microscale proteome samples","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canada Research Chairs; European Commission; Michael Smith Health Research BC; BC Children's Hospital; Children's Hospital Foundation","keywords":"Arabidopsis; Microscale chemistry; Protease; Proteome; Identification (biology); Computational biology; Immune system; Biology; Cell biology; Immunoprecipitation; Proteolysis; Chemistry; Bioinformatics; Biochemistry; Antibody; Genetics; Gene; Enzyme; Botany","score_opus":0.013984386099102276,"score_gpt":0.2401311054262168,"score_spread":0.22614671932711453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920103747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9054461,0.000072954455,0.088992685,0.00008702705,0.00007971304,0.004268489,0.00066281756,0.00035929732,0.000030915962],"genre_scores_gemma":[0.83722186,0.00006615767,0.15936798,0.000023569113,0.00010092635,0.003073247,0.0000029976272,0.00012865005,0.000014600431],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972193,0.000042133128,0.0008667898,0.0010168091,0.00031855644,0.0005364076],"domain_scores_gemma":[0.99686134,0.000069089205,0.000980491,0.0014595134,0.00051062496,0.00011891701],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037247065,0.0005619891,0.0007301684,0.0003002231,0.00007915807,0.00007234428,0.00055153744,0.00080591015,0.000029301362],"category_scores_gemma":[0.00020392227,0.00060724467,0.00017044303,0.00043719396,0.0001660947,0.00016614374,0.0005516014,0.0010547722,0.000018367658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050271974,0.00018008382,0.004581505,0.0016945705,0.000023152339,0.000008061123,0.000016309059,0.000054489377,0.9931301,0.00024587684,0.000004314827,0.000011253907],"study_design_scores_gemma":[0.0004452492,0.000029523459,0.006695713,0.0014153557,0.00003558023,2.6679446e-8,0.000004695163,0.0010674051,0.98927,0.000045632267,0.0003396088,0.00065124425],"about_ca_topic_score_codex":0.000071932474,"about_ca_topic_score_gemma":0.000003341585,"teacher_disagreement_score":0.0703753,"about_ca_system_score_codex":0.00046449655,"about_ca_system_score_gemma":0.0004018669,"threshold_uncertainty_score":0.9996379},"labels":[],"label_agreement":null},{"id":"W2920966218","doi":"10.1007/978-1-4939-9164-8_5","title":"A Standardized and Reproducible Proteomics Protocol for Bottom-Up Quantitative Analysis of Protein Samples Using SP3 and Mass Spectrometry","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Workflow; Proteomics; Proteome; Shotgun proteomics; Computer science; Protocol (science); Quantitative proteomics; Mass spectrometry; Computational biology; Data science; Chemistry; Bioinformatics; Chromatography; Database; Biology; Medicine","score_opus":0.05613645446143414,"score_gpt":0.4672338451093007,"score_spread":0.41109739064786655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920966218","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17306158,0.000048321446,0.79649657,0.000029354671,0.000003475887,0.030205358,0.00008028471,0.000020549196,0.00005450045],"genre_scores_gemma":[0.0012590381,0.000004637266,0.93592024,0.000010165406,0.0000057196553,0.06273468,0.000015460693,0.000021526632,0.000028543749],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852556,0.00016885083,0.00040283846,0.0006358017,0.000052601365,0.00021432241],"domain_scores_gemma":[0.998898,0.00018079889,0.00030093186,0.0004926427,0.00009413042,0.000033440912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011926309,0.000163188,0.00057090586,0.00026962417,0.000037391157,0.000012443297,0.0001234461,0.00017736471,0.000026989543],"category_scores_gemma":[0.0004975236,0.00015369743,0.000092860406,0.00051620166,0.00014929548,0.000028724913,0.00009365691,0.00017501591,5.5472466e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026719185,0.000024185741,0.0037535797,0.00023173698,0.00016102548,3.5905666e-7,0.000043029217,0.00004648027,0.977593,0.0171362,1.6392623e-7,0.00074302027],"study_design_scores_gemma":[0.00079096475,0.00012266329,0.000027054162,0.000042546188,0.000083378334,0.0000014859638,0.000066767876,0.0054905345,0.9095484,0.08336708,0.00030028672,0.00015883913],"about_ca_topic_score_codex":0.000037301434,"about_ca_topic_score_gemma":0.0000022402296,"teacher_disagreement_score":0.17180254,"about_ca_system_score_codex":0.000050512816,"about_ca_system_score_gemma":0.000049144794,"threshold_uncertainty_score":0.6267599},"labels":[],"label_agreement":null},{"id":"W2921179630","doi":"10.1007/978-1-4939-9095-5_7","title":"Mass Spectrometry-Based Proteomics to Define Intracellular Collagen Interactomes","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research","keywords":"Interactome; Stable isotope labeling by amino acids in cell culture; Proteomics; Computational biology; Immunoprecipitation; Chemistry; Mass spectrometry; Protein–protein interaction; Isobaric labeling; Quantitative proteomics; Biology; Cell biology; Biochemistry; Gene; Chromatography","score_opus":0.01294691666332883,"score_gpt":0.36866605398646085,"score_spread":0.35571913732313204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921179630","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11701049,0.00009622267,0.87868917,0.00041980215,0.00004210127,0.00054936385,0.00001880055,0.000090532005,0.0030834894],"genre_scores_gemma":[0.03291769,0.000009760647,0.9658566,0.0004245686,0.000024393703,0.00043610792,0.00004408493,0.000041458832,0.00024535242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857175,0.00013996646,0.0003476332,0.0005177966,0.00006109539,0.00036178043],"domain_scores_gemma":[0.9989327,0.00015893717,0.00011463502,0.0006672931,0.000046413716,0.00008001673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048788643,0.00020881143,0.00034399936,0.00020325834,0.000025726018,0.000016717238,0.000418374,0.00024694265,0.0005464347],"category_scores_gemma":[0.00022666424,0.00021164093,0.00009018225,0.0004393792,0.000046804962,0.00001787351,0.00012514928,0.0002560864,0.00005313554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003903836,0.000039922572,0.001715432,0.000030105162,0.000012549463,0.000006885389,0.00001352827,0.0002499011,0.98758596,0.008599444,0.0000063960642,0.0017008375],"study_design_scores_gemma":[0.0002972974,0.000064679,0.000008749442,0.00002230648,0.000006488919,0.000003829721,0.0000149819625,0.00089354813,0.963877,0.028652621,0.005918455,0.00024003875],"about_ca_topic_score_codex":0.00001516574,"about_ca_topic_score_gemma":0.000001721535,"teacher_disagreement_score":0.08716739,"about_ca_system_score_codex":0.00014621163,"about_ca_system_score_gemma":0.000046960467,"threshold_uncertainty_score":0.8630467},"labels":[],"label_agreement":null},{"id":"W2921366133","doi":"10.1101/571174","title":"The protein repertoire in early vertebrate embryogenesis","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institutes of Health","keywords":"Neurula; Blastula; Biology; Gastrulation; Computational biology; Gene; Embryogenesis; Genetics","score_opus":0.00964125463002084,"score_gpt":0.2194526217682972,"score_spread":0.20981136713827636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921366133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470896,0.0010220513,0.0016800865,0.00038573827,0.0001502937,0.0012371031,0.0001570054,0.00054090534,0.000117878364],"genre_scores_gemma":[0.98701656,0.00040809455,0.0089885155,0.00006103496,0.00019350476,0.0029338344,4.1153572e-7,0.00017695571,0.00022109647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99739134,0.000047292837,0.000624618,0.0010398331,0.00029669242,0.00060019345],"domain_scores_gemma":[0.99652165,0.00006413022,0.000466511,0.0025716184,0.00023755962,0.00013852883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003788408,0.00052076846,0.00045130536,0.00009622513,0.00027398166,0.0002459064,0.0011244281,0.0006704062,0.00003858382],"category_scores_gemma":[0.00012911299,0.00047058068,0.00016808836,0.00033332856,0.00012751012,0.00010496309,0.0006828025,0.0011545217,0.00009521646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029454963,0.00006653654,0.004776507,0.0002591132,0.000044276723,0.0000139517615,0.0000043783916,0.000070321774,0.992584,0.002056165,0.00008699702,0.000008304419],"study_design_scores_gemma":[0.00026884736,0.000011989405,0.0028721567,0.0005194466,0.00002552261,7.8532425e-9,0.0000022371905,0.0006871636,0.9847766,0.000053727603,0.010099004,0.00068327726],"about_ca_topic_score_codex":0.00010527259,"about_ca_topic_score_gemma":0.0000067252813,"teacher_disagreement_score":0.010012007,"about_ca_system_score_codex":0.0003762235,"about_ca_system_score_gemma":0.0004333988,"threshold_uncertainty_score":0.9997746},"labels":[],"label_agreement":null},{"id":"W2927641632","doi":"10.1021/acs.jproteome.9b00021","title":"Accurate Quantitative Proteomic Analyses Using Metabolic Labeling and High Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS)","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Ion-mobility spectrometry; Stable isotope labeling by amino acids in cell culture; Chemistry; Quantitative proteomics; Phosphopeptide; Chromatography; Mass spectrometry; Isobaric labeling; Fractionation; Isotopomers; Ion suppression in liquid chromatography–mass spectrometry; Quantitative analysis (chemistry); Isobaric process; Proteome; Phosphoproteomics; Proteomics; Peptide; Tandem mass spectrometry; Protein phosphorylation; Biochemistry; Phosphorylation; Protein mass spectrometry","score_opus":0.12420825422680311,"score_gpt":0.4591819923651665,"score_spread":0.3349737381383634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927641632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979395,0.00094551005,0.017877167,0.0003117137,0.00003561814,0.00084958615,0.000013813697,0.00002549798,0.000546115],"genre_scores_gemma":[0.8537046,0.0007318737,0.14512812,0.000010037267,0.0001844433,0.00005173292,0.0000021988012,0.000030220977,0.00015680619],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974989,0.00012046914,0.0007195017,0.00035981782,0.0007947011,0.00050655595],"domain_scores_gemma":[0.99747705,0.00048025526,0.00055925833,0.0004408637,0.00085961825,0.00018296429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022945919,0.0002032689,0.0005207121,0.000899159,0.00023834113,0.00013769402,0.00045203228,0.00018876595,0.00022392132],"category_scores_gemma":[0.0008833204,0.00016289871,0.0001534627,0.0015460023,0.00011089906,0.000507756,0.00024822005,0.0015397053,0.0000148836225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020123925,0.00012505683,0.0014613753,0.00019673821,0.000116769814,0.000007861679,0.000054156208,0.0001514966,0.9951634,0.0013181787,0.000009804685,0.001193958],"study_design_scores_gemma":[0.0006054959,0.000388793,0.000718565,0.00019600606,0.000044330784,0.000070647955,0.00033044207,0.0038459138,0.9804886,0.012986586,0.00012395815,0.00020068971],"about_ca_topic_score_codex":0.00022847703,"about_ca_topic_score_gemma":0.0000029798066,"teacher_disagreement_score":0.12725094,"about_ca_system_score_codex":0.00028056154,"about_ca_system_score_gemma":0.000231469,"threshold_uncertainty_score":0.6689339},"labels":[],"label_agreement":null},{"id":"W2931205426","doi":"10.1002/pro.3320","title":"PixelDB: Protein–peptide complexes annotated with structural conservation of the peptide binding mode","year":2017,"lang":"en","type":"article","venue":"Protein Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Foundation for the National Institutes of Health","keywords":"Peptide; Peptide sequence; Chemistry; Biochemistry","score_opus":0.023547712728562663,"score_gpt":0.3058304139837624,"score_spread":0.2822827012551997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931205426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909248,0.0000054337647,0.00440525,0.0007139759,0.000008589223,0.0008654307,0.000041039963,0.00007794503,0.0029575797],"genre_scores_gemma":[0.93115985,7.740904e-7,0.06761115,0.000018977595,0.000018931441,0.00033058986,0.0000033470337,0.0000126430505,0.0008437154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99872625,0.000008686965,0.00023082297,0.0003571901,0.0004011289,0.0002759076],"domain_scores_gemma":[0.9980626,0.000013687942,0.0005536096,0.0010637385,0.0002469058,0.000059436556],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00020427,0.0001420433,0.0001409028,0.000035709032,0.0014466103,0.00015827053,0.0013683412,0.000043102318,0.000029466972],"category_scores_gemma":[0.0002010127,0.00009494015,0.000036323738,0.0002270763,0.0015920347,0.00049571646,0.00029424607,0.00019509028,0.0000023624307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017157246,0.000008714036,0.004725648,0.000036644036,0.0000026843502,3.1748797e-7,0.00006775504,0.000048428778,0.9867074,0.007920963,0.0000063534085,0.00045795555],"study_design_scores_gemma":[0.00017615844,0.000018219565,0.002214407,0.00022101645,0.0000042348747,0.000005604978,0.000045617737,0.0029960803,0.9839559,0.009978776,0.0002371822,0.00014678565],"about_ca_topic_score_codex":0.00041702247,"about_ca_topic_score_gemma":0.000059335172,"teacher_disagreement_score":0.0632059,"about_ca_system_score_codex":0.00006898652,"about_ca_system_score_gemma":0.00017692122,"threshold_uncertainty_score":0.9998534},"labels":[],"label_agreement":null},{"id":"W2936727930","doi":"10.3791/59589","title":"Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames","year":2019,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PROTEO; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; German Network for Bioinformatics Infrastructure; Deutsche Forschungsgemeinschaft; Bundesministerium für Bildung und Forschung; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Compute Canada; Université de Sherbrooke","keywords":"ORFS; Open reading frame; Annotation; Proteogenomics; Genome; Computational biology; Proteomics; Biology; Coding region; Untranslated region; Gene; Genetics; Database; Computer science; Genomics; Messenger RNA; Peptide sequence","score_opus":0.09235081118844882,"score_gpt":0.48745090435103533,"score_spread":0.39510009316258654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936727930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48782447,0.000061760045,0.5101297,0.00017317027,0.000036253274,0.0013431436,0.0001003017,0.00002100572,0.0003102225],"genre_scores_gemma":[0.3557999,0.0000072646867,0.64353883,0.00021479865,0.00010108572,0.00017695529,0.000028706552,0.000054695218,0.000077737124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976755,0.00004918873,0.00094410556,0.00044089966,0.0005139981,0.00037632394],"domain_scores_gemma":[0.9978404,0.00010145092,0.00082225294,0.000813379,0.00019136333,0.00023114016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041964155,0.00032585382,0.00065315526,0.0001488479,0.00019881102,0.00030311145,0.0015623639,0.0001583252,0.0007617893],"category_scores_gemma":[0.00007191582,0.00024275262,0.00021470997,0.00048010476,0.000056100645,0.0004300897,0.00024380915,0.0005731438,0.000013225024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007165199,0.00039810973,0.0002888369,0.000021312591,0.00017978947,0.0000072869084,0.00019058656,0.00086776895,0.99714875,0.00009576728,0.000040157996,0.000045083023],"study_design_scores_gemma":[0.0029117323,0.00013699506,0.000010779061,0.00046240105,0.00008029761,0.000010897288,0.00026127824,0.008037807,0.98666334,0.0002729293,0.0008417517,0.00030978947],"about_ca_topic_score_codex":0.0006115261,"about_ca_topic_score_gemma":0.000003887328,"teacher_disagreement_score":0.13340916,"about_ca_system_score_codex":0.00032438862,"about_ca_system_score_gemma":0.00036937458,"threshold_uncertainty_score":0.9899165},"labels":[],"label_agreement":null},{"id":"W2937760511","doi":"10.1158/1078-0432.ccr-18-3818","title":"Proteomics-Derived Biomarker Panel Improves Diagnostic Precision to Classify Endometrioid and High-grade Serous Ovarian Carcinoma","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foothills Medical Centre; University of Alberta; Western University","funders":"","keywords":"Biomarker; Serous fluid; Ovarian cancer; Ovarian carcinoma; Proteomics; Medicine; Oncology; Serous carcinoma; Carcinoma; Pathology; Internal medicine; Cancer; Biology","score_opus":0.15454026730898407,"score_gpt":0.4503316551360649,"score_spread":0.2957913878270808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937760511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916533,0.00042697875,0.002255317,0.0025639988,0.000108649336,0.0020699024,0.0001279761,0.00012178343,0.00067204994],"genre_scores_gemma":[0.97558117,0.0011580123,0.01872265,0.00016175896,0.00030599625,0.0024494377,0.00002611238,0.00007039945,0.0015244866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968434,0.00014626009,0.0006970016,0.0010659057,0.00053871545,0.0007087272],"domain_scores_gemma":[0.99421275,0.0038316979,0.00014047229,0.0010193323,0.00030637468,0.0004893816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013367961,0.00024045551,0.00045929296,0.0001900807,0.00022867722,0.00012842508,0.00064065575,0.0003859514,0.0005095596],"category_scores_gemma":[0.002599658,0.00021563463,0.000111942994,0.000645213,0.0003024912,0.000115588016,0.0007600176,0.0011841937,0.00013105564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056889176,0.00024353205,0.042328246,0.00018013862,0.000041789885,0.0000113260385,0.000060803563,0.000005843948,0.8618409,0.00062471436,0.0010446387,0.093049176],"study_design_scores_gemma":[0.0049545453,0.0009608537,0.18802983,0.00044852833,0.000046549172,0.000016023663,0.00020295441,0.0011102693,0.7492273,0.016020093,0.03796728,0.0010157743],"about_ca_topic_score_codex":0.0008377452,"about_ca_topic_score_gemma":0.00004931138,"teacher_disagreement_score":0.14570159,"about_ca_system_score_codex":0.00023794327,"about_ca_system_score_gemma":0.0002559986,"threshold_uncertainty_score":0.8793325},"labels":[],"label_agreement":null},{"id":"W2937775899","doi":"10.1021/acs.jproteome.8b00920","title":"Mass Spectrometry-Based Quantification of Tau in Human Cerebrospinal Fluid Using a Complementary Tryptic Peptide Standard","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Alzheimer's Disease Research Center, Emory University; Weston Brain Institute; Alzheimer’s Research UK; National Institute of Neurological Disorders and Stroke; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research","keywords":"Peptide; Chemistry; Trypsin; Isobaric labeling; Mass spectrometry; Arginine; Chromatography; Isotope; Lysine; Tandem mass tag; Quantitative proteomics; Tandem mass spectrometry; Isotope dilution; Peptide sequence; Amino acid; Biochemistry; Proteomics; Protein mass spectrometry; Enzyme","score_opus":0.08716170138844334,"score_gpt":0.4203187644973932,"score_spread":0.3331570631089499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937775899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89872473,0.000061706654,0.09973819,0.00027150274,0.000010716972,0.0005814175,0.00003766423,0.0000100986435,0.00056397304],"genre_scores_gemma":[0.77350694,0.000014893327,0.22627823,0.0000036786653,0.00006290041,0.00002884922,0.000009437103,0.000022156657,0.00007294205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975668,0.00008920848,0.00083117955,0.00021821505,0.00092469575,0.00036990503],"domain_scores_gemma":[0.998326,0.00009427588,0.00049714674,0.00041472726,0.0005725258,0.00009529832],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018192785,0.00012444233,0.00035667076,0.0005934273,0.00011007077,0.000039980925,0.0004798584,0.00008743623,0.0009319661],"category_scores_gemma":[0.0000748668,0.00011952083,0.0001180236,0.0006430156,0.00012373086,0.00015667774,0.00006687165,0.00085145247,0.0000054444654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026065562,0.00013112822,0.009180337,0.00033698304,0.000017698014,0.000006727856,0.000030782474,0.0004270457,0.98818344,0.0013048721,0.000033564298,0.00008677658],"study_design_scores_gemma":[0.0012319485,0.00048487124,0.0007330536,0.00050044747,0.000008670964,0.000015307198,0.00028744488,0.0021470552,0.9833644,0.0108295195,0.00026774497,0.00012955825],"about_ca_topic_score_codex":0.000093726776,"about_ca_topic_score_gemma":0.0000056351923,"teacher_disagreement_score":0.12654004,"about_ca_system_score_codex":0.00065881567,"about_ca_system_score_gemma":0.00032250333,"threshold_uncertainty_score":0.99998134},"labels":[],"label_agreement":null},{"id":"W2945702993","doi":"10.1186/s12885-019-5547-y","title":"Differential proteomic comparison of breast cancer secretome using a quantitative paired analysis workflow","year":2019,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital","funders":"Universidade Federal do Rio de Janeiro; Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Fundação Oswaldo Cruz; Fundação do Câncer; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Bundesministerium für Bildung und Forschung; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Proteomics; Breast cancer; Tumor microenvironment; Quantitative proteomics; Surgical oncology; Medicine; Cancer; Biology; Shotgun proteomics; Cancer research; Bioinformatics; Computational biology; Oncology; Internal medicine; Biochemistry","score_opus":0.04197471604146431,"score_gpt":0.3620684404395828,"score_spread":0.3200937243981185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945702993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9264794,0.00019507215,0.0720957,0.00003520704,0.00003590254,0.00035643997,0.00056173466,0.000073860065,0.00016666227],"genre_scores_gemma":[0.96427464,0.000043758915,0.03468135,0.000008607254,0.00007452223,0.00047283946,0.000038258102,0.000029869203,0.00037615586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988329,0.000016066726,0.0003646099,0.00036091515,0.00019166905,0.0002338635],"domain_scores_gemma":[0.9989908,0.000036905658,0.00039001027,0.00039601699,0.00012565572,0.000060665385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000034592806,0.00018351735,0.0004874819,0.00009721744,0.000065217144,0.000019202298,0.00021246806,0.00011297053,0.0042427415],"category_scores_gemma":[0.00000443087,0.0001760147,0.00021938914,0.0005145103,0.000066942266,0.00007829456,0.00007065787,0.00017058279,0.000005266763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016972226,0.00008079093,0.3936505,0.00016812471,0.0003118941,1.0761261e-7,0.0001974441,0.011938181,0.5922338,0.00030006812,0.000025674497,0.0009237],"study_design_scores_gemma":[0.0010329797,0.000025957377,0.0342498,0.0004486429,0.0010627828,0.0000015830518,0.00033422865,0.33216986,0.6290726,0.0007039243,0.00021982186,0.00067779515],"about_ca_topic_score_codex":0.001602358,"about_ca_topic_score_gemma":0.00042857457,"teacher_disagreement_score":0.35940072,"about_ca_system_score_codex":0.00023066811,"about_ca_system_score_gemma":0.00013704486,"threshold_uncertainty_score":0.9966675},"labels":[],"label_agreement":null},{"id":"W2946949472","doi":"10.2210/pdb2k4v/pdb","title":"Solution structure of uncharacterized protein PA1076 from Pseudomonas aeruginosa. Northeast Structural Genomics Consortium (NESG) target PaT3, Ontario Center for Structural Proteomics target PA1076 .","year":2008,"lang":"en","type":"paratext","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Structural genomics; Proteomics; Pseudomonas aeruginosa; Computational biology; Genomics; Center (category theory); Biology; Microbiology; Genetics; Genome; Chemistry; Protein structure; Gene; Bacteria; Crystallography; Biochemistry","score_opus":0.011802791255108035,"score_gpt":0.2425396939931451,"score_spread":0.23073690273803707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946949472","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86905617,0.0003080338,0.046100195,0.00015891087,0.0007357317,0.007298572,0.07445273,0.0002964386,0.0015932148],"genre_scores_gemma":[0.35743368,0.00015728432,0.5410388,0.00013461952,0.001469263,0.0019131493,0.0791158,0.00043157337,0.018305853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9937478,0.000067692396,0.0022987793,0.0019373739,0.00063134613,0.0013170268],"domain_scores_gemma":[0.9943277,0.00009002524,0.0026685835,0.0017894009,0.00074256794,0.0003817273],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00008585372,0.0017467,0.002174361,0.00019736079,0.00064458407,0.00014178915,0.0013854909,0.001919722,0.009030932],"category_scores_gemma":[0.00004162579,0.0016352532,0.0008614412,0.00019563385,0.000512626,0.00037648255,0.0004527315,0.0019270745,0.000054212334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015971861,0.00011579748,0.0021484657,0.00079636695,0.00055996695,0.0000065370095,0.0005712157,0.00033844617,0.9866858,0.0002935047,0.0064412192,0.0004454687],"study_design_scores_gemma":[0.0038213956,0.00014874435,0.00030822816,0.0003216455,0.00017338185,0.000080951264,0.00007265603,0.0021092815,0.8832708,0.009816168,0.097371474,0.0025052575],"about_ca_topic_score_codex":0.008007327,"about_ca_topic_score_gemma":0.002792516,"teacher_disagreement_score":0.5116225,"about_ca_system_score_codex":0.0013703172,"about_ca_system_score_gemma":0.0014424173,"threshold_uncertainty_score":0.9995279},"labels":[],"label_agreement":null},{"id":"W2947133669","doi":"10.1101/656207","title":"Parallel accumulation – serial fragmentation combined with data-independent acquisition (diaPASEF): Bottom-up proteomics with near optimal ion usage","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Leibniz-Gemeinschaft; Gottfried Wilhelm Leibniz Universität Hannover; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; National Science Foundation; Government of Canada; Genome Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Proteome; Fragmentation (computing); Ion-mobility spectrometry; Ion; Reproducibility; Mass spectrometry; Proteomics; Computer science; Label-free quantification; Chemistry; Chromatography; Analytical Chemistry (journal); Quantitative proteomics; Biochemistry","score_opus":0.021920950914115202,"score_gpt":0.264751429356445,"score_spread":0.24283047844232983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947133669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7821906,0.00004031434,0.21359628,0.00011528817,0.00017328416,0.0023075005,0.00097254664,0.0005921562,0.000012002742],"genre_scores_gemma":[0.6950349,0.000063721185,0.30302674,0.00005614955,0.0003325323,0.001165304,0.00013003788,0.0001757653,0.000014830077],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964222,0.00006121544,0.0006540657,0.0016528037,0.000657851,0.0005518687],"domain_scores_gemma":[0.9953461,0.000048006532,0.0010619496,0.0028675373,0.0004594057,0.00021698698],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038856798,0.0007551416,0.0006114402,0.000118946045,0.00033664648,0.00052029063,0.0009873771,0.00076731667,0.00013061205],"category_scores_gemma":[0.000026479995,0.00073962467,0.00008130407,0.00029008242,0.00014273696,0.0006646754,0.0006905351,0.0011420435,0.000041947354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020447148,0.0003298904,0.003788606,0.0007510694,0.00025661392,0.000023071458,0.000022940103,0.04908386,0.9429184,0.0006448856,0.00013013314,0.000005765788],"study_design_scores_gemma":[0.0043735052,0.00031084535,0.00567626,0.0009431857,0.0003975031,2.2556456e-7,0.000012821524,0.050550934,0.93484163,0.000020366102,0.0009985944,0.0018740989],"about_ca_topic_score_codex":0.000080275415,"about_ca_topic_score_gemma":0.0000056329336,"teacher_disagreement_score":0.08943046,"about_ca_system_score_codex":0.0005155579,"about_ca_system_score_gemma":0.00072121114,"threshold_uncertainty_score":0.99950546},"labels":[],"label_agreement":null},{"id":"W2947312586","doi":"10.71781/11825","title":"Time-Resolved Phosphoproteomics Unravel the Dynamics of Intracellular Signaling","year":2018,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institutes of Health Research; Cancer Research Society; Genome Canada","keywords":"Phosphoproteomics; Intracellular; Cell biology; Dynamics (music); Computational biology; Biology; Neuroscience; Chemistry; Computer science; Physics; Phosphorylation; Protein phosphorylation; Protein kinase A","score_opus":0.004089863953542919,"score_gpt":0.18180883685454363,"score_spread":0.17771897290100072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947312586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93397444,0.0044986056,0.010358775,0.00016791202,0.00021594256,0.0006543091,0.0003490123,0.00023879838,0.049542174],"genre_scores_gemma":[0.7029585,0.0009874194,0.038275693,0.00006541504,0.00052923063,0.00027748357,0.005116521,0.0001869241,0.2516028],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983396,0.000021261554,0.0004571546,0.0004697257,0.00041349165,0.00029877844],"domain_scores_gemma":[0.9980884,0.000073582094,0.0007066333,0.0006641608,0.0003472225,0.0001199776],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001389049,0.00036397684,0.0003559987,0.00009407023,0.0031056798,0.000028923523,0.00071588054,0.0005312365,0.0002118829],"category_scores_gemma":[0.00003543794,0.00035619398,0.00028541067,0.0002031304,0.00036205637,0.00010202759,0.00013803807,0.0005352439,0.000026544669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081119244,0.00018893846,0.00022076085,0.00032859208,0.00037769272,0.000115074115,0.0064931703,0.001128036,0.95610934,0.028813396,0.00042862855,0.004985196],"study_design_scores_gemma":[0.00036707352,0.00003202829,0.00004246712,0.00028454943,0.0002581617,0.00008313207,0.0072699143,0.010928638,0.96399623,0.0024945138,0.013783563,0.00045971049],"about_ca_topic_score_codex":0.0032785775,"about_ca_topic_score_gemma":0.00080324354,"teacher_disagreement_score":0.23101595,"about_ca_system_score_codex":0.002561117,"about_ca_system_score_gemma":0.0007477593,"threshold_uncertainty_score":0.999889},"labels":[],"label_agreement":null},{"id":"W2947763854","doi":"10.1038/s41592-019-0426-7","title":"Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning","year":2019,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":979,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche; Nvidia","keywords":"Tandem mass spectrometry; Database search engine; Proteome; Computer science; Bottom-up proteomics; Proteomics; Computational biology; Mass spectrometry; Peptide; Deep learning; Artificial intelligence; Chemistry; Chromatography; Search engine; Protein mass spectrometry; Biology; Biochemistry; Information retrieval","score_opus":0.00743944056699306,"score_gpt":0.31409748499491136,"score_spread":0.3066580444279183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947763854","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04840807,0.0007999536,0.9209361,0.0001631365,0.000058969053,0.00067522394,0.000033813052,0.00033782062,0.028586898],"genre_scores_gemma":[0.14421174,0.000074886215,0.85027736,0.000040062143,0.000081551974,0.00020484382,0.000059572598,0.00003865757,0.005011334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891174,0.000061463004,0.00027679518,0.00034999035,0.00018604774,0.00021397785],"domain_scores_gemma":[0.9990621,0.00016400655,0.00024528388,0.00038208338,0.00009130087,0.000055189244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004664181,0.0001637108,0.00024185238,0.000040807503,0.00007325201,0.00001558843,0.00022194847,0.00048025083,0.00029222853],"category_scores_gemma":[0.0002107008,0.00015555308,0.00009333423,0.00019783477,0.000036856432,0.00008911801,0.000045906774,0.0013410134,0.000006445788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016469297,0.000026701322,0.009008902,0.00009854829,0.000017897486,2.6889617e-7,0.00004491424,0.000060700328,0.9831238,0.0007457185,0.00021228667,0.0066437875],"study_design_scores_gemma":[0.00021561899,0.000038642887,0.00027528126,0.000050223218,0.000018433626,0.000003258463,0.000042028896,0.0010868306,0.9320642,0.0072808387,0.05879077,0.00013390412],"about_ca_topic_score_codex":0.000003310098,"about_ca_topic_score_gemma":3.110755e-7,"teacher_disagreement_score":0.09580367,"about_ca_system_score_codex":0.00008694639,"about_ca_system_score_gemma":0.000021033818,"threshold_uncertainty_score":0.63432705},"labels":[],"label_agreement":null},{"id":"W2947888846","doi":"10.1038/s41592-019-0428-5","title":"Deep learning adds an extra dimension to peptide fragmentation","year":2019,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fragmentation (computing); Tandem mass spectrometry; Proteomics; Deep learning; Peptide; Computer science; Tandem; Computational biology; Artificial intelligence; Mass spectrometry; Chemistry; Biology; Materials science; Chromatography; Biochemistry","score_opus":0.018038645591629033,"score_gpt":0.38761401238708837,"score_spread":0.3695753667954593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947888846","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014101829,0.0007487609,0.92988294,0.055347484,0.00030467188,0.0006837033,0.00003580366,0.0006471556,0.010939307],"genre_scores_gemma":[0.00013715736,0.00004202854,0.8381634,0.1476343,0.001815301,0.00027923923,0.0013326359,0.00013125817,0.010464701],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980109,0.00018254809,0.00032102046,0.00081042515,0.00030755805,0.00036760347],"domain_scores_gemma":[0.99827796,0.0003678563,0.0002765324,0.0008659904,0.00013764846,0.00007403899],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00041160412,0.0003874307,0.00039111992,0.00012414259,0.00017037548,0.00006289625,0.00045159133,0.0026200525,0.0005799513],"category_scores_gemma":[0.00019668856,0.00038747405,0.0001436968,0.00019652476,0.000023441737,0.00011354556,0.00013180535,0.0069372784,0.000052699666],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044083627,0.000034498524,0.00009626434,0.00043886201,0.0000685706,0.00003215954,0.00034011705,0.0011887013,0.47623158,0.00036078953,0.3268708,0.19429357],"study_design_scores_gemma":[0.000104982624,0.000036870824,0.000007755604,0.00009518091,0.00004712741,0.000010181212,0.00002380492,0.0012826015,0.1089339,0.0018854539,0.8871308,0.00044134993],"about_ca_topic_score_codex":0.000010906984,"about_ca_topic_score_gemma":0.0000013389234,"teacher_disagreement_score":0.56026,"about_ca_system_score_codex":0.00018675649,"about_ca_system_score_gemma":0.000030367113,"threshold_uncertainty_score":0.9998577},"labels":[],"label_agreement":null},{"id":"W2948523541","doi":"10.1021/acs.analchem.9b01625","title":"Quantitative Analysis of Protein Covalent Labeling Mass Spectrometry Data in the Mass Spec Studio","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Chemistry; Mass spectrometry; Normalization (sociology); Tandem mass tag; Tandem mass spectrometry; Isobaric labeling; Data mining; Biological system; Proteomics; Chromatography; Quantitative proteomics; Computer science; Biochemistry; Protein mass spectrometry","score_opus":0.037828962992410266,"score_gpt":0.3401843001039058,"score_spread":0.30235533711149554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948523541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96194047,0.00029081551,0.016842308,0.000427818,0.000004158939,0.0002625511,0.00030322053,0.00004721932,0.019881468],"genre_scores_gemma":[0.96085167,0.000062491614,0.037617207,0.00003335347,0.000035058027,0.000046246285,0.0003031871,0.00001743047,0.0010333674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983209,0.000016416197,0.00047604632,0.00054053403,0.00037339306,0.00027275356],"domain_scores_gemma":[0.99781907,0.00022778913,0.00019823985,0.0016293216,0.00007236977,0.0000532276],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042582522,0.00018215485,0.00043975114,0.00006984639,0.000037045458,0.000026399452,0.0010773363,0.000124865,0.0010378015],"category_scores_gemma":[0.00016448491,0.00014735946,0.00014275912,0.0012581877,0.000108207685,0.00007567402,0.00017691786,0.00044958835,0.000016190814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041735308,0.00018880262,0.018176923,0.00023639969,0.0005841985,0.000009315952,0.00004732812,0.0002713681,0.9740993,0.006241291,0.000042432843,0.000060924714],"study_design_scores_gemma":[0.0006575518,0.000042008152,0.00057933084,0.0001578958,0.0012544631,0.0000031770012,0.0019899243,0.096230544,0.8896716,0.006741171,0.00207571,0.00059658545],"about_ca_topic_score_codex":0.000032407235,"about_ca_topic_score_gemma":0.000004639377,"teacher_disagreement_score":0.09595918,"about_ca_system_score_codex":0.00009055697,"about_ca_system_score_gemma":0.00004488166,"threshold_uncertainty_score":0.99987537},"labels":[],"label_agreement":null},{"id":"W2948592660","doi":"10.1177/0962280219852721","title":"Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes","year":2019,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; University of Texas MD Anderson Cancer Center; National Institutes of Health; Cancer Prevention and Research Institute of Texas","keywords":"Myeloid leukemia; Bayesian probability; Computational biology; Sample size determination; Leukemia; Computer science; Cancer cell lines; Mass cytometry; Sample (material); Bioinformatics; Biology; Cancer; Statistics; Chemistry; Mathematics; Cancer research; Cancer cell; Phenotype; Chromatography; Artificial intelligence; Genetics; Gene","score_opus":0.16581169265453438,"score_gpt":0.5168562717667535,"score_spread":0.35104457911221915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948592660","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051079214,0.000051856965,0.9426124,0.00016898823,0.000009043272,0.0014540207,0.0001438777,0.00005655749,0.004424043],"genre_scores_gemma":[0.15708484,0.000011687357,0.83847547,0.00005749587,0.00008154042,0.0037764853,0.00016256655,0.000051952513,0.00029795596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960213,0.00062700245,0.000787496,0.0008229281,0.00083512615,0.00090620515],"domain_scores_gemma":[0.992768,0.0060333493,0.0000904909,0.0005464037,0.0001236395,0.0004381263],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0054286,0.00022117079,0.00044972196,0.00017520513,0.00012953798,0.000050602543,0.0007063315,0.00036773822,0.0021568476],"category_scores_gemma":[0.011639912,0.00020933704,0.000052057138,0.00039403533,0.00036555392,0.000048829555,0.0003692304,0.0018105444,0.0000035407493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009399361,0.0006170704,0.003528198,0.0019672771,0.000011150846,0.000015785587,0.00040424743,0.000039314487,0.726548,0.072984405,0.00006869133,0.19372183],"study_design_scores_gemma":[0.0021827763,0.00025078695,0.00016268858,0.0006405378,0.000004696587,0.0000020612497,0.0009779701,0.15077399,0.5340854,0.30934945,0.0011005705,0.00046906323],"about_ca_topic_score_codex":0.00073073636,"about_ca_topic_score_gemma":0.00004743534,"teacher_disagreement_score":0.23636505,"about_ca_system_score_codex":0.0004487427,"about_ca_system_score_gemma":0.0003571773,"threshold_uncertainty_score":0.99875534},"labels":[],"label_agreement":null},{"id":"W2948919061","doi":"10.1016/j.jsbmb.2019.105387","title":"Proteomics contribution to the elucidation of the steroid hormone receptors functions","year":2019,"lang":"en","type":"review","venue":"The Journal of Steroid Biochemistry and Molecular Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Cancer Research Society","keywords":"Proteomics; Computational biology; Proteome; Steroid; Receptor; Steroid hormone; Hormone; Biology; Identification (biology); Bioinformatics; Endocrinology; Biochemistry","score_opus":0.01410663554773766,"score_gpt":0.29865988262993926,"score_spread":0.2845532470822016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948919061","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016468449,0.94141185,0.039758228,0.00085036224,0.00013629356,0.0010086197,0.00024319525,0.000011873329,0.00011111994],"genre_scores_gemma":[0.011688077,0.9863594,0.0009980814,0.000114523216,0.00023240561,0.000104155675,0.0001108147,0.000032806664,0.00035971554],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986985,0.000118762415,0.0007004937,0.00018757809,0.00011754364,0.00017715033],"domain_scores_gemma":[0.9976428,0.00010107793,0.0013458933,0.00065321673,0.00020423713,0.000052776624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046183052,0.00025565215,0.0005889395,0.00003055081,0.00016375346,0.000016725677,0.000731218,0.00034993337,0.000010990626],"category_scores_gemma":[0.000118882104,0.00012155373,0.0002937199,0.0001722712,0.00020821241,0.000021461998,0.00025596138,0.0006481882,0.0000025794632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007811096,0.000040295912,0.000003292561,0.0009186651,0.00022454961,3.400845e-7,0.000029744122,0.000008258019,0.9348882,0.00012159094,0.00048847863,0.06319847],"study_design_scores_gemma":[0.0001999061,0.000104197214,5.9633504e-7,0.0010231548,0.0006353665,0.00022620702,0.000044916775,0.0000021825444,0.42928877,0.00023243995,0.56807584,0.00016640768],"about_ca_topic_score_codex":0.000002327886,"about_ca_topic_score_gemma":3.60339e-7,"teacher_disagreement_score":0.5675874,"about_ca_system_score_codex":0.00007993076,"about_ca_system_score_gemma":0.00013342028,"threshold_uncertainty_score":0.4956817},"labels":[],"label_agreement":null},{"id":"W2950557897","doi":"10.1038/s41467-017-00249-5","title":"Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":617,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Core Research for Evolutional Science and Technology; National Cancer Institute; National Human Genome Research Institute; National Institute of General Medical Sciences; Functional Genomics Center Zurich; National Institutes of Health; Ontario Genomics; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Australian Government; European Commission; National Center for Research Resources; Japan Agency for Medical Research and Development; National Science Foundation; Canadian Institutes of Health Research; Genome Canada; Buck Institute for Research on Aging; Government of Canada","keywords":"Mass spectrometry; Reproducibility; Proteomics; Quantitative proteomics; Computer science; Data acquisition; Label-free quantification; Scale (ratio); Data mining; Chemistry; Chromatography","score_opus":0.061120496682658884,"score_gpt":0.4529367233399413,"score_spread":0.3918162266572824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950557897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792081,0.0026976024,0.007946793,0.001549956,0.00002254991,0.0003370609,0.0004492332,0.00006308983,0.0077256225],"genre_scores_gemma":[0.5525725,0.0008987207,0.44639343,0.0000070450797,0.0000046219557,0.000052061143,0.00002133937,0.000007811024,0.00004247186],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899364,0.000063385574,0.00035707004,0.00035139304,0.00013258088,0.000101928315],"domain_scores_gemma":[0.9927712,0.00034584486,0.0006969478,0.005683943,0.00046506527,0.000036979138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085617055,0.00011294073,0.00024182082,0.000053422667,0.00039480536,0.000017794528,0.0011305914,0.00017527398,0.00001335747],"category_scores_gemma":[0.0008951829,0.00011205424,0.00004619141,0.000117314295,0.00072898937,0.00018475825,0.00046611106,0.00074553356,4.882811e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015168137,0.00030941772,0.036976907,0.00016935071,0.0000593567,8.644458e-8,0.0012180858,0.000004203929,0.8673406,0.09350865,0.000044020275,0.00035411562],"study_design_scores_gemma":[0.00073226076,0.00013407154,0.08269055,0.00026437044,0.000077356344,0.0000015743144,0.002879559,0.006775029,0.89716583,0.0070814406,0.0018004621,0.00039746775],"about_ca_topic_score_codex":0.000025766885,"about_ca_topic_score_gemma":0.000032960397,"teacher_disagreement_score":0.43844664,"about_ca_system_score_codex":0.00005166,"about_ca_system_score_gemma":0.0000832711,"threshold_uncertainty_score":0.45694393},"labels":[],"label_agreement":null},{"id":"W2951283945","doi":"10.1101/418400","title":"RawTools: Rapid and Dynamic Interrogation of Orbitrap Data Files for Mass Spectrometer System Management","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada's Michael Smith Genome Sciences Centre","keywords":"Orbitrap; Computer science; Raw data; Software; Database; Data extraction; Data mining; Mass spectrometry; Operating system","score_opus":0.019971640275950723,"score_gpt":0.25776511343271863,"score_spread":0.2377934731567679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951283945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41791168,0.00087389967,0.57137984,0.000110798734,0.00026989702,0.002202378,0.006329778,0.0007784632,0.00014323994],"genre_scores_gemma":[0.6742641,0.00029005346,0.32448235,0.000010814126,0.00012464213,0.00072618865,0.000014251228,0.00007894016,0.000008726099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979479,0.000018947088,0.00056138274,0.0010005479,0.00017651204,0.00029475812],"domain_scores_gemma":[0.99675345,0.00005122328,0.0006017022,0.0022767587,0.00022543795,0.000091430986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035699861,0.00037207152,0.00044794867,0.00014621516,0.00010074037,0.000092905255,0.00091054343,0.00032730313,0.000042885018],"category_scores_gemma":[0.000024616413,0.00040807563,0.000087357635,0.00013946775,0.00012841559,0.00012623117,0.00089503656,0.00028624953,0.000004325691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051583094,0.000066555534,0.00009178998,0.0060309507,0.00028661435,0.0000036818142,0.0000046472255,0.000004397959,0.9895208,0.0036929818,0.00022656184,0.00001944065],"study_design_scores_gemma":[0.0006253112,0.00004957381,0.00042618602,0.0019398553,0.0003589503,3.687663e-8,0.0000347484,0.01215628,0.97893804,0.00010687028,0.0046018283,0.0007622883],"about_ca_topic_score_codex":0.0000065859695,"about_ca_topic_score_gemma":7.236121e-7,"teacher_disagreement_score":0.25635237,"about_ca_system_score_codex":0.00027936092,"about_ca_system_score_gemma":0.000088328205,"threshold_uncertainty_score":0.9998371},"labels":[],"label_agreement":null},{"id":"W2952080999","doi":"10.1101/678995","title":"Improved Sensitivity in Low-Input Proteomics using Micro-Pillar Array-based Chromatography","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Austrian Science Fund; European Commission","keywords":"Chromatography; Proteomics; Elution; Pillar; High-performance liquid chromatography; Dispersity; Chemistry; Materials science; Nanotechnology; Engineering","score_opus":0.010437705930608401,"score_gpt":0.22979303233409043,"score_spread":0.21935532640348204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952080999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84571445,0.00019035157,0.15098785,0.000067822744,0.00016269638,0.0016276148,0.0005771679,0.0006596814,0.000012372151],"genre_scores_gemma":[0.7566053,0.00007016383,0.24223332,0.00011402636,0.00020866316,0.0005427075,0.0000023918296,0.00022183773,0.0000015815093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99634475,0.00006772348,0.00084379147,0.0016027265,0.0002964277,0.0008445931],"domain_scores_gemma":[0.99597114,0.000069192276,0.00087245455,0.0024656164,0.00038569118,0.00023590142],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005347373,0.00089471607,0.0009247231,0.0003744596,0.0001747928,0.0001994649,0.0006146242,0.0012072537,0.000028912991],"category_scores_gemma":[0.000081089194,0.0010919636,0.00035390817,0.00062615355,0.0001833643,0.00013999954,0.0004312014,0.0016497093,0.000016259128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041187977,0.0002100112,0.010647452,0.0013433427,0.00005593029,0.000024331157,0.0000034717875,0.001533147,0.98607194,0.000061209794,0.000007362827,5.900384e-7],"study_design_scores_gemma":[0.00063702464,0.000012542849,0.0012052461,0.0012216932,0.00005996455,4.6490605e-8,0.0000017085222,0.016131883,0.979236,0.000010887851,0.00031422725,0.0011687597],"about_ca_topic_score_codex":0.00016343627,"about_ca_topic_score_gemma":0.0000066906496,"teacher_disagreement_score":0.09124548,"about_ca_system_score_codex":0.00068714126,"about_ca_system_score_gemma":0.0009463462,"threshold_uncertainty_score":0.9991531},"labels":[],"label_agreement":null},{"id":"W2952213627","doi":"10.1021/acs.jproteome.8b00711","title":"Proteomics INTegrator (PINT): An Online Tool To Store, Query, and Visualize Large Proteomics Experiment Results","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Cancer Institute; European Bioinformatics Institute","keywords":"Computer science; Proteomics; Set (abstract data type); Visualization; Interface (matter); Integrator; Data mining; Biology; Bandwidth (computing)","score_opus":0.06943836872443805,"score_gpt":0.42993665766612604,"score_spread":0.360498288941688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952213627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983439,0.00012590372,0.011438359,0.0011291153,0.000041151998,0.003056982,0.00016850316,0.000070040696,0.0005309372],"genre_scores_gemma":[0.55246377,0.0003034399,0.44310617,0.00008377429,0.0006411019,0.0009704423,0.000043329863,0.000121766316,0.0022661781],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962983,0.00016667212,0.0011196351,0.0005860556,0.0010517675,0.00077753206],"domain_scores_gemma":[0.99683607,0.00011765094,0.00050229544,0.0007779116,0.0012478215,0.00051823445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030184735,0.00031615276,0.00054325646,0.00041208716,0.00025995367,0.00019843027,0.0008195425,0.00028747827,0.00016650956],"category_scores_gemma":[0.0007069601,0.0002670003,0.0001277981,0.00045745095,0.00009782366,0.000446244,0.00047408527,0.0019767769,0.00003302736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014997161,0.0007313038,0.00057417125,0.00018171514,0.000040097984,0.000018625116,0.00061699306,0.000022107997,0.99200606,0.0022359793,0.00035226246,0.001720964],"study_design_scores_gemma":[0.0021972142,0.0019514741,0.00016972645,0.00047334217,0.000009881812,0.000099039964,0.0013116996,0.00086121826,0.9512407,0.003447586,0.03779951,0.00043861414],"about_ca_topic_score_codex":0.000052401014,"about_ca_topic_score_gemma":0.000010234152,"teacher_disagreement_score":0.43166783,"about_ca_system_score_codex":0.000569668,"about_ca_system_score_gemma":0.00046144857,"threshold_uncertainty_score":0.99997824},"labels":[],"label_agreement":null},{"id":"W2952844973","doi":"10.1074/mcp.tir118.001132","title":"DIAlignR Provides Precise Retention Time Alignment Across Distant Runs in DIA and Targeted Proteomics","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Pairwise comparison; Elution; Pattern recognition (psychology); Artificial intelligence; Chemistry; Chromatography","score_opus":0.005033187585067315,"score_gpt":0.22455382299523544,"score_spread":0.2195206354101681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952844973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9443398,0.00028640046,0.050702203,0.00016903835,0.000034814082,0.0034204295,0.000109588655,0.00019699262,0.0007407436],"genre_scores_gemma":[0.9004306,0.00010840226,0.096015714,0.0000564185,0.00004467615,0.0018225391,0.0003274407,0.00012905743,0.0010651033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973298,0.00004987901,0.0006668491,0.00094892696,0.0003320513,0.0006725293],"domain_scores_gemma":[0.99842733,0.000026371765,0.00033175247,0.0009620246,0.000079685524,0.00017282604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041584994,0.00044701228,0.00045747927,0.00007151151,0.00014214839,0.00015145127,0.00040484438,0.0003498927,0.00009617464],"category_scores_gemma":[0.000055372675,0.00047710727,0.00015495771,0.00023200264,0.00012909382,0.00019944689,0.00035004268,0.0004523628,0.000064298656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010467613,0.00014585878,0.0009122159,0.00021202442,0.000026777112,0.000026766535,0.00023363614,0.0001686514,0.99672455,0.00084004,0.000012757421,0.00059204147],"study_design_scores_gemma":[0.0009374298,0.00006658743,0.000054611424,0.0001546493,0.000023547012,0.000009673821,0.00006872728,0.003472466,0.9847254,0.008670179,0.0012429423,0.00057374715],"about_ca_topic_score_codex":0.000060281527,"about_ca_topic_score_gemma":0.000009134862,"teacher_disagreement_score":0.04531351,"about_ca_system_score_codex":0.00029979055,"about_ca_system_score_gemma":0.00007575081,"threshold_uncertainty_score":0.9997681},"labels":[],"label_agreement":null},{"id":"W2954631323","doi":"10.7287/peerj.preprints.27736v1","title":"Python in proteomics","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Scripting language; Workflow; Programming language; Visualization; Software; Software engineering; Computational science; Data mining; Database","score_opus":0.017235001178090355,"score_gpt":0.29351693277842766,"score_spread":0.2762819316003373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954631323","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23282853,0.00012269538,0.36796296,0.00068988494,0.00008446775,0.0015873779,0.00010939644,0.0007894179,0.39582527],"genre_scores_gemma":[0.34203973,0.00023919456,0.6410704,0.000102536855,0.0001262814,0.0017948208,0.00018562165,0.00007468256,0.014366672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989968,0.0000036114568,0.0003058073,0.00043171144,0.00008297851,0.00017907954],"domain_scores_gemma":[0.9989521,0.000016952326,0.00014677833,0.0008243441,0.000027596316,0.000032231834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072196264,0.0001867719,0.0002253344,0.000047248883,0.000015261397,0.000027123473,0.00036536614,0.00043163117,0.00050631096],"category_scores_gemma":[0.000014554447,0.00019067677,0.00007512582,0.000045257682,0.000019867453,0.000022957842,0.0006186314,0.0008518489,0.00006996924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110147725,0.00066207553,0.020949043,0.0038111561,0.00007208514,0.000018858593,0.0003441516,0.018265365,0.84628356,0.08985884,0.0045294655,0.015095263],"study_design_scores_gemma":[0.00027188292,0.000005572525,0.000054579432,0.000325771,0.000008788575,0.0000032531989,0.000031238516,0.006195805,0.81925344,0.15450355,0.018717278,0.00062884344],"about_ca_topic_score_codex":0.00009375404,"about_ca_topic_score_gemma":0.000015170983,"teacher_disagreement_score":0.3814586,"about_ca_system_score_codex":0.00014159926,"about_ca_system_score_gemma":0.00008171454,"threshold_uncertainty_score":0.7775573},"labels":[],"label_agreement":null},{"id":"W2955626121","doi":"10.1088/1681-7575/ab27e5","title":"Establishment of measurement traceability for peptide and protein quantification through rigorous purity assessment—a review","year":2019,"lang":"en","type":"article","venue":"Metrologia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Traceability; Metrology; Computer science; Consistency (knowledge bases); Calibration; Systems engineering; Risk analysis (engineering); Medical physics; Operations research; Management science; Medicine; Engineering; Mathematics; Statistics; Software engineering; Artificial intelligence","score_opus":0.04234564719391795,"score_gpt":0.328327075391947,"score_spread":0.2859814281980291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955626121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72673666,0.0053382237,0.25433803,0.0017616049,0.000028831346,0.005427779,0.00014442581,0.00026062396,0.00596384],"genre_scores_gemma":[0.8152775,0.00054636697,0.18231885,0.000057666726,0.000011459006,0.0015997137,0.000031527918,0.000011237126,0.00014566815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988752,0.000027725046,0.00037835308,0.00035461807,0.00021004195,0.0001540464],"domain_scores_gemma":[0.9988707,0.000053187996,0.00028906477,0.0005463484,0.00021328211,0.000027464435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009442194,0.00012309865,0.00029221587,0.000014545974,0.00005659748,0.000012233657,0.00016361842,0.00008069964,0.000102293954],"category_scores_gemma":[0.00016105303,0.000108024455,0.00007205813,0.00008914279,0.0000531715,0.000102778344,0.000044062686,0.00013311736,0.0000018411934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007364731,0.0005555921,0.011616809,0.0076194736,0.00006177101,1.4994205e-7,0.000031967753,0.000010949261,0.94352347,0.028614586,0.0008642922,0.007027316],"study_design_scores_gemma":[0.0011688417,0.0003654062,0.004778072,0.0008998858,0.00017552107,0.0000030399497,0.00008520128,0.0008356977,0.892179,0.045851473,0.05316857,0.0004892515],"about_ca_topic_score_codex":0.000034409975,"about_ca_topic_score_gemma":0.0000049965765,"teacher_disagreement_score":0.08854086,"about_ca_system_score_codex":0.0001206974,"about_ca_system_score_gemma":0.000039017872,"threshold_uncertainty_score":0.44051096},"labels":[],"label_agreement":null},{"id":"W2956732318","doi":"10.1021/acs.jproteome.9b00205","title":"PTMProphet: Fast and Accurate Mass Modification Localization for the Trans-Proteomic Pipeline","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Heart, Lung, and Blood Institute; Medical Research Council; National Institute of General Medical Sciences; Cancer Research UK","keywords":"Pipeline (software); Computer science; False discovery rate; Set (abstract data type); Proteome; Sequence database; Proteomics; Database search engine; Ground truth; Sequence (biology); Computational biology; Data mining; Data set; Function (biology); False positive paradox; Algorithm; Bioinformatics; Chemistry; Biology; Search engine; Artificial intelligence; Information retrieval; Biochemistry; Genetics","score_opus":0.06656372185227585,"score_gpt":0.38852895445442637,"score_spread":0.3219652326021505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956732318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08107106,0.00027409705,0.91349,0.0029915005,0.00002297145,0.0017520565,0.00002502895,0.000019976414,0.00035332376],"genre_scores_gemma":[0.95458776,0.00082161784,0.041823372,0.000022473088,0.00029857832,0.00062709965,0.000009017678,0.000041339477,0.0017687537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99860215,0.00004445139,0.00045124366,0.00019953949,0.000429153,0.00027343855],"domain_scores_gemma":[0.99829185,0.00021148189,0.00028623396,0.0003340374,0.0007919625,0.000084425315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015423867,0.00011217859,0.00018196079,0.00011542252,0.0002576103,0.00009454237,0.0003996132,0.00011929643,0.00011988355],"category_scores_gemma":[0.00014547916,0.000076465054,0.00008080618,0.00024214713,0.00011641299,0.00020199822,0.000038910446,0.0005849386,0.00000816537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021802007,0.00004030248,0.00014977678,0.00021968612,0.000018778974,4.823528e-7,0.00010504475,0.0011943826,0.9864521,0.0011703916,0.00018435302,0.010246667],"study_design_scores_gemma":[0.0011522811,0.00019766371,0.000059952254,0.00015589001,0.000022187254,0.000033314554,0.00033545477,0.11099804,0.8544498,0.018960616,0.013470844,0.00016394671],"about_ca_topic_score_codex":0.000009101535,"about_ca_topic_score_gemma":7.3551587e-7,"teacher_disagreement_score":0.8735167,"about_ca_system_score_codex":0.000104820385,"about_ca_system_score_gemma":0.00011996619,"threshold_uncertainty_score":0.31181544},"labels":[],"label_agreement":null},{"id":"W2964968264","doi":"10.1007/978-1-4939-9597-4_6","title":"Enriching for Low-Abundance Serum Proteins Using ProteoMiner™ and Protein-Level HPLC","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Immune system; Proteomics; Computational biology; Antibody; Biology; Mass spectrometry; Matrix (chemical analysis); Immunology; Chemistry; Biochemistry; Chromatography","score_opus":0.03085882773109436,"score_gpt":0.398689311470931,"score_spread":0.3678304837398366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964968264","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.324843,0.00010120572,0.67288876,0.00009213122,0.000014883785,0.0016297152,0.000028739207,0.00005011154,0.00035145303],"genre_scores_gemma":[0.022955284,0.0000066434955,0.97437793,0.00008883304,0.000037752292,0.001955177,0.000013151592,0.00004710847,0.00051812164],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985774,0.0001118937,0.00033092577,0.0005631209,0.000046844092,0.00036979545],"domain_scores_gemma":[0.9991879,0.000085559535,0.00017876567,0.00044494055,0.000052350355,0.00005049969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005933946,0.00021341644,0.00032524814,0.000077284,0.00008152097,0.000018986813,0.00023809317,0.00027262777,0.000030640076],"category_scores_gemma":[0.00021329516,0.0002109091,0.00006719599,0.00014291391,0.000087197805,0.00004533928,0.00016690863,0.00029874008,0.0000012168418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027744361,0.00003073396,0.0006774561,0.00019395183,0.000010538271,0.0000012034731,0.000025253212,0.000048198708,0.9759892,0.013542892,4.2114362e-7,0.009452357],"study_design_scores_gemma":[0.0004576359,0.000048509555,0.000018059987,0.00009143673,0.000006593655,0.000010394612,0.000013565452,0.0061031664,0.93087995,0.060118783,0.001996774,0.00025514467],"about_ca_topic_score_codex":0.00003352134,"about_ca_topic_score_gemma":0.0000023314792,"teacher_disagreement_score":0.30188772,"about_ca_system_score_codex":0.000066682966,"about_ca_system_score_gemma":0.000048576843,"threshold_uncertainty_score":0.86006236},"labels":[],"label_agreement":null},{"id":"W2966639800","doi":"10.1002/mas.21598","title":"Proteome analysis of tissues by mass spectrometry","year":2019,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Chemistry; Lysis; Sample preparation; Proteome; Lysis buffer; Chromatography; Trypsin; Ammonium bicarbonate; Computational biology; Biochemistry; Enzyme; Biology","score_opus":0.04587801501280375,"score_gpt":0.3598798931909714,"score_spread":0.31400187817816766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966639800","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000020211767,0.9365155,0.044449676,0.000028231814,0.00004955334,0.002618087,0.0012704758,0.00022137318,0.01484509],"genre_scores_gemma":[0.0000017888798,0.8538617,0.1336104,0.000016692877,0.00018889252,0.0016042626,0.0016675451,0.0001824597,0.008866293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99391246,0.0001625052,0.0028801276,0.0015875218,0.0006047297,0.00085262785],"domain_scores_gemma":[0.99285626,0.00023853885,0.0033143042,0.0032623394,0.00009786429,0.00023067105],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007641509,0.001289999,0.008767501,0.0015508119,0.000101251746,0.00008945157,0.0018592661,0.0008428174,0.0071215834],"category_scores_gemma":[0.00017356269,0.0010806869,0.0034474507,0.007388251,0.00013893793,0.00014096152,0.00023113519,0.0013831628,0.0005271025],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016233074,0.00057059864,0.00009549246,0.18073353,0.00903028,0.000017289709,0.000023214423,0.0000019376425,0.06923075,0.0038479285,0.01031527,0.7261175],"study_design_scores_gemma":[0.00009805506,0.000057074027,2.677934e-7,0.0049791634,0.010388768,0.000008642336,0.000004683796,0.0000093093595,0.004922188,0.00058251293,0.9779585,0.0009908247],"about_ca_topic_score_codex":0.000017987577,"about_ca_topic_score_gemma":0.0000013038314,"teacher_disagreement_score":0.96764326,"about_ca_system_score_codex":0.0006779149,"about_ca_system_score_gemma":0.00012685244,"threshold_uncertainty_score":0.99998516},"labels":[],"label_agreement":null},{"id":"W2967619458","doi":"10.1101/733576","title":"Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Eye Institute; National Human Genome Research Institute; National Institute of General Medical Sciences; National Institute of Mental Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; Agence Nationale de la Recherche","keywords":"Human proteome project; Proteome; Workflow; Pipeline (software); Identifier; Computer science; UniProt; Data science; Computational biology; Information retrieval; Proteomics; Bioinformatics; Chemistry; Biology; Database; Biochemistry","score_opus":0.043445537373668866,"score_gpt":0.3176900390074763,"score_spread":0.2742445016338074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967619458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45390046,0.0015491367,0.52657354,0.0008526046,0.0007338747,0.0058802757,0.005723504,0.0041422048,0.00064436375],"genre_scores_gemma":[0.6595793,0.00018259157,0.33784056,0.000106972555,0.000765243,0.0011995307,0.000019717983,0.0002312405,0.000074852134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99608624,0.000039500734,0.0009970724,0.0018616642,0.00044525645,0.00057028333],"domain_scores_gemma":[0.992972,0.000035340043,0.0009391555,0.005281654,0.0006337565,0.00013807195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056618237,0.0007098781,0.0006772581,0.00029735456,0.00019429605,0.00029631067,0.0024326746,0.0007483581,0.00015688468],"category_scores_gemma":[0.00029636663,0.0007780418,0.00015639538,0.00044417774,0.000105825085,0.00031686295,0.0018924446,0.0013538179,0.00008213652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015402898,0.00007737432,0.0006599891,0.00083552254,0.00010679618,0.000007618822,0.0000030662932,0.00007001004,0.9960936,0.0006945956,0.0014333191,0.0000027332142],"study_design_scores_gemma":[0.00037857043,0.000032169435,0.00048487255,0.00107653,0.00015048361,3.2880383e-8,0.0000047923486,0.0061532944,0.9768963,0.000104749604,0.013396498,0.0013217459],"about_ca_topic_score_codex":0.0000759717,"about_ca_topic_score_gemma":0.0000013752564,"teacher_disagreement_score":0.20567884,"about_ca_system_score_codex":0.00040868256,"about_ca_system_score_gemma":0.00055398414,"threshold_uncertainty_score":0.9994671},"labels":[],"label_agreement":null},{"id":"W2968318900","doi":"10.1016/j.euprot.2019.07.002","title":"Proceedings of the EuBIC Winter School 2019","year":2019,"lang":"en","type":"article","venue":"EuPA Open Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Society for Visual Anthropology; Novo Nordisk; Novo Nordisk Fonden; Brain Science Institute, Johns Hopkins University","keywords":"Library science; Data science; Field (mathematics); Political science; Computer science; Mathematics","score_opus":0.00915070400359133,"score_gpt":0.2661420644686222,"score_spread":0.2569913604650309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968318900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86310047,0.00002046109,0.00056854024,0.00070477853,0.000039583512,0.0020761555,0.000042776057,0.0000637342,0.13338348],"genre_scores_gemma":[0.8041482,0.000031985874,0.13431887,0.0003200375,0.0001013418,0.0007630568,0.000010358618,0.00007221701,0.060233932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990646,0.0000028754393,0.0002944837,0.00030353037,0.0001376026,0.00019690588],"domain_scores_gemma":[0.9990476,0.000012038551,0.0002728843,0.00048905157,0.00012138587,0.00005707005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014420008,0.00014738496,0.00019989983,0.000018714403,0.0000824881,0.00009381566,0.0014704266,0.00011040456,0.0011686165],"category_scores_gemma":[0.000037860664,0.00011051085,0.00008832016,0.00014813109,0.000060427934,0.0002658133,0.0008354121,0.00033106405,0.00017152951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042828222,0.00004634053,0.012745878,0.00007502973,0.00001446141,6.1428835e-8,0.000047584646,0.000006860441,0.97316694,0.009268335,0.0043402696,0.00024543493],"study_design_scores_gemma":[0.00035436195,0.000018009077,0.00034951227,0.00014177087,0.000009230776,0.0000055870037,0.00006355651,0.000074663054,0.96628284,0.010169059,0.02236363,0.00016780128],"about_ca_topic_score_codex":0.00003479617,"about_ca_topic_score_gemma":0.0000014307698,"teacher_disagreement_score":0.13375033,"about_ca_system_score_codex":0.00007736697,"about_ca_system_score_gemma":0.00007413498,"threshold_uncertainty_score":0.9997445},"labels":[],"label_agreement":null},{"id":"W2969089843","doi":"10.1016/bs.mie.2019.07.030","title":"Simplified high yield TAILS terminomics using a new HPG-ALD 800K-2000 polymer with precipitation","year":2019,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Proteome; Polymer; Mass spectrometry; Trypsin; Isotopic labeling; Peptide; Proteomics; Chromatography; Biochemistry; Enzyme; Organic chemistry; Gene","score_opus":0.050673348783307655,"score_gpt":0.4047849838713775,"score_spread":0.35411163508806986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969089843","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.562898,0.0002907483,0.43171376,0.00035365226,0.00036709718,0.00078919437,0.000027580054,0.00020438145,0.0033555827],"genre_scores_gemma":[0.11101548,0.000060648177,0.8845376,0.0009827504,0.00020914839,0.00043831428,0.00004530504,0.0001681245,0.002542673],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99346155,0.0017198982,0.0014882649,0.0017820187,0.00022559348,0.0013226485],"domain_scores_gemma":[0.99195236,0.0051496415,0.00080138457,0.0017572381,0.00010186078,0.00023750581],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027524177,0.0008287673,0.0015570899,0.0007794068,0.0001532738,0.000041752017,0.0010171351,0.0015764673,0.0012421203],"category_scores_gemma":[0.00092926435,0.0008353858,0.00019119019,0.0009087163,0.00046183218,0.00022401128,0.00034226218,0.002019976,0.000036875535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008434309,0.00039002375,0.011780857,0.0000922874,0.00008550997,0.0000659042,0.00084121875,0.0027953836,0.9031352,0.01601508,0.00007571452,0.0638794],"study_design_scores_gemma":[0.003552178,0.00084699184,0.009987553,0.00029522157,0.00012313377,0.00058064685,0.0004081258,0.0015446679,0.86883646,0.10843883,0.0036983043,0.001687874],"about_ca_topic_score_codex":0.0013846634,"about_ca_topic_score_gemma":0.00036135488,"teacher_disagreement_score":0.4528238,"about_ca_system_score_codex":0.0007464554,"about_ca_system_score_gemma":0.00047433338,"threshold_uncertainty_score":0.9997197},"labels":[],"label_agreement":null},{"id":"W296922660","doi":"10.1007/978-1-4939-0805-9_1","title":"Detecting Protein–Protein Interactions/Complex Components Using Mass Spectrometry Coupled Techniques","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Immunoprecipitation; Mass spectrometry; Chromatography; Chemistry; Proteomics; Protein detection; Computational biology; Computer science; Nanotechnology; Biochemistry; Materials science; Biology","score_opus":0.04271080438269017,"score_gpt":0.41429189045545334,"score_spread":0.3715810860727632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W296922660","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19074737,0.00002711943,0.8069265,0.000066882865,0.000017758019,0.00039967496,0.000004541387,0.00024010446,0.0015700805],"genre_scores_gemma":[0.2047523,0.0000023286996,0.79461145,0.00006189913,0.000056157423,0.00040806364,0.000020045565,0.000042196843,0.00004557294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981563,0.0003536839,0.00048201357,0.0005353275,0.000075238335,0.00039742762],"domain_scores_gemma":[0.99889076,0.00013007219,0.0002717519,0.0005853429,0.000060564726,0.000061522325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000825966,0.00025088683,0.00037522794,0.00022183164,0.00012858705,0.000023845309,0.00037082363,0.00023772329,0.00015600267],"category_scores_gemma":[0.0003789329,0.000266959,0.00010790966,0.00032841892,0.00012224408,0.000042915777,0.00017534863,0.0005842814,0.0000032803623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016684808,0.00003921462,0.0002089885,0.000032967317,0.000014517698,0.000002497204,0.000006969541,0.000016470625,0.98312914,0.0046259253,2.961029e-7,0.011906301],"study_design_scores_gemma":[0.0001617956,0.000030990308,0.00000930494,0.00006781004,0.000008165855,0.000016953594,0.000011738594,0.013440419,0.8954561,0.088479415,0.0020637403,0.00025358534],"about_ca_topic_score_codex":0.000113353446,"about_ca_topic_score_gemma":0.0000029644152,"teacher_disagreement_score":0.08767309,"about_ca_system_score_codex":0.00019073744,"about_ca_system_score_gemma":0.000017026594,"threshold_uncertainty_score":0.99997824},"labels":[],"label_agreement":null},{"id":"W2969396992","doi":"10.1002/cpim.87","title":"Mass Spectrometry‐Based Quantitative Proteomics of Murine‐Derived Polymorphonuclear Neutrophils","year":2019,"lang":"en","type":"article","venue":"Current Protocols in Immunology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung; National Science Foundation","keywords":"Innate immune system; Proteome; Biology; Proteomics; Immune system; Chemotaxis; Secretion; Phagocytosis; Immunology; Granulocyte; Cell biology; Bioinformatics; Receptor; Gene; Biochemistry","score_opus":0.028241839184302762,"score_gpt":0.3346744113646873,"score_spread":0.3064325721803845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969396992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8905241,0.0002514445,0.046748407,0.00019358982,0.000097760894,0.058877904,0.000098489225,0.0002377813,0.0029705463],"genre_scores_gemma":[0.5031187,0.000065597735,0.32505506,0.000025209461,0.000051679817,0.17139722,0.00007035991,0.00009859894,0.00011757834],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836004,0.00004549901,0.00060225686,0.00046207072,0.00013224535,0.0003978668],"domain_scores_gemma":[0.9985388,0.000088518056,0.00044838557,0.00078984763,0.00009647996,0.000037973965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012754957,0.00025199648,0.0004668353,0.00021081617,0.000041979423,0.000014867842,0.0005780343,0.00018935923,0.0006979112],"category_scores_gemma":[0.000058571586,0.00026216556,0.00011752755,0.00036745548,0.00021119168,0.00010507772,0.0001375584,0.0006098911,0.00006867537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036351342,0.00031741936,0.0027692276,0.00029841872,0.000018571662,0.0000013159787,0.000038245325,0.00008071033,0.9735817,0.021831509,0.000007799267,0.0006915964],"study_design_scores_gemma":[0.0017583831,0.00028290052,0.000522792,0.00035998947,0.0000053922267,0.0000031012044,0.000051717678,0.0004574244,0.9837391,0.009794278,0.0027440565,0.0002808976],"about_ca_topic_score_codex":0.000015418185,"about_ca_topic_score_gemma":0.000001144351,"teacher_disagreement_score":0.3874054,"about_ca_system_score_codex":0.00015576612,"about_ca_system_score_gemma":0.00011494421,"threshold_uncertainty_score":0.9999831},"labels":[],"label_agreement":null},{"id":"W2970422942","doi":"10.1074/mcp.tir119.001560","title":"Sensitive Determination of Proteolytic Proteoforms in Limited Microscale Proteome Samples","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Canada Research Chairs; Centre for Blood Research, University of British Columbia; BC Children's Hospital; Michael Smith Health Research BC; Michael Cuccione Foundation; European Commission; BC Children’s Hospital Foundation; European Research Council; Children's Hospital Foundation","keywords":"Microscale chemistry; Proteome; Chemistry; Proteolysis; Chromatography; Computational biology; Biology; Biochemistry; Enzyme; Mathematics","score_opus":0.007318106584040458,"score_gpt":0.23049133525759097,"score_spread":0.22317322867355052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970422942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7163117,0.000030898394,0.27868196,0.000074159754,0.000017479004,0.0039030348,0.000047900267,0.0001066672,0.0008262278],"genre_scores_gemma":[0.71378213,0.000011065001,0.2841056,0.00003461312,0.000022292661,0.0015282867,0.0001299712,0.000081917715,0.00030412362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976059,0.000048610884,0.00076027337,0.0007013052,0.0003399663,0.0005439507],"domain_scores_gemma":[0.9982645,0.000035676225,0.00049807545,0.00090271793,0.00019992965,0.00009909356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032432188,0.0003917605,0.0005098378,0.000215874,0.00006800242,0.00004069825,0.00041882638,0.0003582541,0.00008532787],"category_scores_gemma":[0.00008604719,0.00040936543,0.00019309453,0.00045151374,0.00013881543,0.00018522808,0.00021070045,0.00052787113,0.000038791837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095350995,0.00017971615,0.0016502094,0.00045577565,0.00001362156,0.000020317388,0.00015845877,0.00011392709,0.9947894,0.0010987418,9.2228055e-7,0.0014235472],"study_design_scores_gemma":[0.0008754715,0.00008330971,0.000114952854,0.00028683248,0.000018235925,0.000013951299,0.00007806855,0.0029278973,0.990428,0.0044754846,0.0002336364,0.0004641998],"about_ca_topic_score_codex":0.00006471411,"about_ca_topic_score_gemma":0.0000062719305,"teacher_disagreement_score":0.005423645,"about_ca_system_score_codex":0.00022468583,"about_ca_system_score_gemma":0.00011276014,"threshold_uncertainty_score":0.99983585},"labels":[],"label_agreement":null},{"id":"W2975414703","doi":"10.1007/978-1-4939-9744-2_17","title":"Using the Object-Oriented PowerShell for Simple Proteomics Data Analysis","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Scripting language; Computer science; Disk formatting; Programming language; Python (programming language); XML; XHTML; World Wide Web; Operating system; Markup language","score_opus":0.05814741101028796,"score_gpt":0.4605564730521581,"score_spread":0.4024090620418701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975414703","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02854788,0.00009387933,0.9699797,0.00008434566,0.000021906932,0.00059293694,0.00014254948,0.00003699417,0.0004997808],"genre_scores_gemma":[0.0071419748,0.000011727993,0.9920043,0.00014408428,0.000020044658,0.00018414835,0.0003991684,0.000021163962,0.00007338844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988141,0.00013333514,0.00026448956,0.0005001882,0.00003795885,0.00024990735],"domain_scores_gemma":[0.9980827,0.00022203877,0.00014148369,0.0014845368,0.000044690405,0.000024525587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081777835,0.00012856958,0.00026248256,0.000078378784,0.00005838412,0.000010578567,0.0006582003,0.00016682579,0.00008152867],"category_scores_gemma":[0.00021791224,0.0001020094,0.00010581143,0.00044587755,0.00006950595,0.000024325702,0.0003364729,0.00019511873,0.0000011313703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017551925,0.00001924677,0.0021098494,0.000013100939,0.00009454897,3.53003e-7,0.000018185581,0.00044137173,0.9880798,0.007879328,0.0000047644116,0.0013218871],"study_design_scores_gemma":[0.00022988957,0.00001676357,0.0000057482666,0.000003935533,0.00013044881,0.000002101926,0.00006822884,0.07518685,0.8705595,0.035800453,0.017831989,0.00016405435],"about_ca_topic_score_codex":0.000060862232,"about_ca_topic_score_gemma":0.000008209001,"teacher_disagreement_score":0.11752027,"about_ca_system_score_codex":0.000047114292,"about_ca_system_score_gemma":0.000033831988,"threshold_uncertainty_score":0.41598225},"labels":[],"label_agreement":null},{"id":"W2976101532","doi":"10.2210/pdb2gpf/pdb","title":"Solution NMR Structure of Protein PA22412 from Pseudomonas aeruginosa. Northeast Structural Genomics Consortium Target PaT86, Ontario Centre for Structural Proteomics Target PA2412.","year":2006,"lang":"en","type":"paratext","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Structural genomics; Proteomics; Pseudomonas aeruginosa; Genomics; Computational biology; Bacterial protein; Microbiology; Biology; Chemistry; Protein structure; Genetics; Genome; Bacteria; Biochemistry; Gene","score_opus":0.008137816834138497,"score_gpt":0.23485825850042277,"score_spread":0.22672044166628427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976101532","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80246395,0.0009291795,0.08893355,0.00030537572,0.0007191452,0.010286221,0.089623034,0.0004488607,0.006290665],"genre_scores_gemma":[0.29795197,0.000030624284,0.5993671,0.000056528406,0.0013590066,0.00083838706,0.054135155,0.0003454177,0.045915853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9941393,0.000053199827,0.0020764905,0.0018384078,0.0005814461,0.0013111157],"domain_scores_gemma":[0.9948785,0.00009710365,0.002373953,0.0016465955,0.00068851694,0.0003153308],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00008385523,0.0016091296,0.0018175773,0.00016764984,0.0005525871,0.0001649663,0.0012781082,0.0019450651,0.008885738],"category_scores_gemma":[0.000033101293,0.0015386725,0.0007321951,0.00019109038,0.00041357416,0.0002849608,0.0003890097,0.001753352,0.000042410084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012034569,0.0001638822,0.0041860295,0.0018677465,0.0007897293,0.000007142302,0.0006589468,0.008588525,0.93747056,0.0026773966,0.041387096,0.0009995218],"study_design_scores_gemma":[0.0020909433,0.00008731904,0.0001357942,0.0003012326,0.00023808451,0.000020546442,0.00011915522,0.0055261147,0.8285024,0.03925098,0.121343225,0.002384198],"about_ca_topic_score_codex":0.025696306,"about_ca_topic_score_gemma":0.018298691,"teacher_disagreement_score":0.5104335,"about_ca_system_score_codex":0.0015350563,"about_ca_system_score_gemma":0.0013552656,"threshold_uncertainty_score":0.9996656},"labels":[],"label_agreement":null},{"id":"W2976507922","doi":"10.1002/jlb.2ri0919-302r","title":"Decoding communication patterns of the innate immune system by quantitative proteomics","year":2019,"lang":"en","type":"review","venue":"Journal of Leukocyte Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Guelph","funders":"National Eye Institute","keywords":"Proteomics; Innate immune system; Biology; Proteome; Computational biology; Immune system; Systems biology; Proteases; Quantitative proteomics; Mass cytometry; Cell biology; Bioinformatics; Immunology; Genetics","score_opus":0.055240267868363765,"score_gpt":0.36696824916060444,"score_spread":0.31172798129224066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976507922","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000944948,0.9871669,0.010832134,0.00003575484,0.00009024985,0.0004985567,0.00019498366,0.000013876856,0.0002225939],"genre_scores_gemma":[0.0012672269,0.985608,0.01275644,0.0000060815933,0.00005197162,0.00007258747,0.000064996064,0.000039022467,0.00013369943],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802023,0.00018506989,0.0013831604,0.00015934097,0.00009409195,0.0001581268],"domain_scores_gemma":[0.9939808,0.00025713225,0.0047700414,0.00073525286,0.00022503092,0.000031702526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044374733,0.00024502527,0.0012925584,0.00007704361,0.00008202851,0.0000122919355,0.0012392635,0.00040808052,0.000011938957],"category_scores_gemma":[0.00007752304,0.00015570362,0.0005362764,0.00011472865,0.00009352877,0.000043253225,0.00026733073,0.00085085316,0.000003414524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027150643,0.00047049194,0.0006712101,0.10304926,0.003054594,0.0000059280883,0.00043226016,0.000042498712,0.16301748,0.08504523,0.0008365432,0.643103],"study_design_scores_gemma":[0.0003957358,0.00011880106,0.0000017907967,0.025532534,0.0005881087,0.00026740946,0.00014820014,0.000036413836,0.044914704,0.00036724424,0.927278,0.00035110264],"about_ca_topic_score_codex":0.000018539185,"about_ca_topic_score_gemma":0.0000010524451,"teacher_disagreement_score":0.92644143,"about_ca_system_score_codex":0.0003281904,"about_ca_system_score_gemma":0.00023407806,"threshold_uncertainty_score":0.6349409},"labels":[],"label_agreement":null},{"id":"W2977233247","doi":"10.3390/cancers11101426","title":"Evaluation and Validation of Plasma Proteins Using Two Different Protein Detection Methods for Early Detection of Colorectal Cancer","year":2019,"lang":"en","type":"article","venue":"Cancers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Genome British Columbia; Jewish General Hospital; University of Victoria","funders":"Fondation De Famille Alvin Segal; Deutschen Konsortium für Translationale Krebsforschung; Jewish General Hospital; Leading Edge Endowment Fund; Warren Y. Soper Charitable Trust; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Genome British Columbia; McGill University; University of Victoria; Genome Canada","keywords":"Colorectal cancer; Colorectal adenoma; Medicine; Computational biology; Oncology; Cancer; Biology; Internal medicine","score_opus":0.03452411878113288,"score_gpt":0.3785745615108708,"score_spread":0.34405044272973795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977233247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73719066,0.000048532474,0.26112276,0.0000031399186,0.00003251155,0.0015095122,0.000023177708,0.000022625787,0.000047070607],"genre_scores_gemma":[0.94642323,0.000011637173,0.051193066,9.1309045e-7,0.000030019686,0.0022960778,0.0000061434152,0.00001892274,0.000019959414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927056,0.000034506353,0.00023544276,0.00021564394,0.00013813138,0.00010572148],"domain_scores_gemma":[0.99918157,0.000037282454,0.00035094935,0.00013104986,0.0002730055,0.000026168265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002674923,0.00010232731,0.00016853634,0.000050812505,0.000055103683,0.000007700528,0.00005328447,0.00008379282,0.00003182258],"category_scores_gemma":[0.00004875006,0.00010363774,0.000047494468,0.00010008742,0.00004116266,0.00009420185,0.000018099689,0.00007849139,9.880404e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013015117,0.0000068071236,0.00027591176,0.00015820721,0.000023612607,3.493973e-9,0.00007918784,0.0022900729,0.9172599,0.00003407244,4.9542255e-8,0.079742074],"study_design_scores_gemma":[0.00062596647,0.00008839517,0.00010325503,0.00008683316,0.000068879664,5.223607e-7,0.000035591744,0.14254004,0.8550055,0.0013305674,0.000024219924,0.00009020024],"about_ca_topic_score_codex":0.0005983705,"about_ca_topic_score_gemma":0.00007242225,"teacher_disagreement_score":0.2099297,"about_ca_system_score_codex":0.00084192166,"about_ca_system_score_gemma":0.00013169143,"threshold_uncertainty_score":0.42262244},"labels":[],"label_agreement":null},{"id":"W2979612020","doi":"10.1101/802231","title":"DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; Novelis (Canada); University of Waterloo","funders":"Genome Canada","keywords":"Computer science; Workflow; Pipeline (software); Data acquisition; Classifier (UML); Data extraction; Data mining; Artificial intelligence; Pattern recognition (psychology); Database; Chemistry","score_opus":0.019115047088463483,"score_gpt":0.24412254039454,"score_spread":0.22500749330607653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979612020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698295,0.0008887574,0.024475593,0.00016847429,0.0001897575,0.0018383435,0.0019724553,0.0005381492,0.00009896016],"genre_scores_gemma":[0.94064754,0.00062026497,0.057088517,0.00008832653,0.0003452327,0.0009784057,0.000020480938,0.00018887132,0.000022374074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962429,0.000048917245,0.00075661315,0.0018834047,0.00041627997,0.0006518822],"domain_scores_gemma":[0.9953243,0.00006836193,0.0006434076,0.0035214769,0.00020164813,0.00024076356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051974447,0.0006772477,0.00067022635,0.0002094301,0.00014306605,0.00032091708,0.0014092687,0.0010103686,0.00008809622],"category_scores_gemma":[0.000112647656,0.00080447673,0.00008501636,0.00025890057,0.00011248244,0.00035858568,0.00266021,0.0014339526,0.000042391126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040170624,0.00025397056,0.006878099,0.00060631294,0.00005583034,0.000031048054,0.0000073454644,0.000081078215,0.99139357,0.00057556183,0.00006878122,0.000008217121],"study_design_scores_gemma":[0.00082255446,0.000026792037,0.0055058687,0.000737106,0.00009198314,1.5355246e-7,0.0000046146006,0.001387315,0.9880462,0.00009990435,0.0021668242,0.0011106796],"about_ca_topic_score_codex":0.00016804173,"about_ca_topic_score_gemma":0.000027759743,"teacher_disagreement_score":0.032612924,"about_ca_system_score_codex":0.00059899234,"about_ca_system_score_gemma":0.00039051927,"threshold_uncertainty_score":0.9994406},"labels":[],"label_agreement":null},{"id":"W2979759276","doi":"10.1109/tcbb.2019.2945954","title":"ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition","year":2019,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Identification (biology); Set (abstract data type); Peptide; Shotgun proteomics; Database search engine; Search engine; Shotgun; Computational biology; Proteomics; Information retrieval; Chemistry; Biology; Programming language","score_opus":0.019147779846496852,"score_gpt":0.2964362172501698,"score_spread":0.2772884374036729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979759276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45835504,0.000014043426,0.5390439,0.00026877964,0.000056902558,0.0003644401,0.0017165178,0.00008497595,0.0000953706],"genre_scores_gemma":[0.73118645,0.00005486617,0.26399907,0.00014386224,0.00006643478,0.000079276004,0.004377636,0.000015204107,0.00007721818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882966,0.000020175818,0.00047128426,0.0003534036,0.00011765388,0.00020781203],"domain_scores_gemma":[0.9990082,0.00025157686,0.00012744716,0.0005200401,0.00003622225,0.000056517518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014457919,0.0001660468,0.0001763239,0.00013555896,0.0001716382,0.00006398789,0.00036814247,0.00015114537,0.000213784],"category_scores_gemma":[0.0000049790424,0.0001631704,0.000045393597,0.00014070234,0.000075717086,0.00039799255,0.000017884891,0.0002484858,0.00004102732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012803148,0.0022400103,0.005508311,0.00057444896,0.0002964621,0.0000028120805,0.0020086237,0.7800338,0.10065595,0.013729333,0.00018605174,0.09348387],"study_design_scores_gemma":[0.001158701,0.00014382327,0.0031235456,0.00005212785,0.000032817632,0.000014997836,0.00030219473,0.9209433,0.05035171,0.023269348,0.00022635995,0.00038106204],"about_ca_topic_score_codex":0.000013790535,"about_ca_topic_score_gemma":0.000005802781,"teacher_disagreement_score":0.27504486,"about_ca_system_score_codex":0.000046275443,"about_ca_system_score_gemma":0.00006246071,"threshold_uncertainty_score":0.6653896},"labels":[],"label_agreement":null},{"id":"W2979783309","doi":"10.1021/acs.jproteome.9b00445","title":"Proteomic and N-Terminomic TAILS Analyses of Human Alveolar Bone Proteins: Improved Protein Extraction Methodology and LysargiNase Digestion Strategies Increase Proteome Coverage and Missing Protein Identification","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC; Canada Foundation for Innovation","keywords":"Proteome; Digestion (alchemy); Proteomics; Identification (biology); Chemistry; Protein purification; Human proteome project; Computational biology; Biochemistry; Biology; Chromatography; Gene","score_opus":0.10031421850428157,"score_gpt":0.4445593098027246,"score_spread":0.34424509129844305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979783309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726385,0.00061217067,0.019978818,0.00036538637,0.000009294225,0.006237639,0.000025071042,0.000042362655,0.000090759444],"genre_scores_gemma":[0.926063,0.00015994931,0.07182364,0.0000028300892,0.00011598611,0.001403136,0.0000124099115,0.000057520912,0.00036152225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962609,0.00060662266,0.001351347,0.0006477131,0.00062237086,0.0005110526],"domain_scores_gemma":[0.9965107,0.00018078832,0.0016628691,0.00055351725,0.00082615553,0.00026597283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0046291007,0.000353536,0.00076804927,0.000719668,0.000397665,0.00033933128,0.00030690193,0.0003613649,0.00005431953],"category_scores_gemma":[0.0007821619,0.0003207022,0.00011107261,0.00038475954,0.0005241458,0.0013359314,0.00023704884,0.0013539563,0.0000019324157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006433808,0.00019021385,0.00052330736,0.0020385962,0.00006969001,0.000018806484,0.00018253762,0.0000071792083,0.99151915,0.0008466353,0.000001450244,0.003959074],"study_design_scores_gemma":[0.0013578492,0.00074305915,0.0014944581,0.00091506424,0.000049898255,0.00028856334,0.00034291262,0.00048418707,0.9598527,0.034138996,0.000037499456,0.00029479415],"about_ca_topic_score_codex":0.00040985912,"about_ca_topic_score_gemma":0.000007037543,"teacher_disagreement_score":0.05184482,"about_ca_system_score_codex":0.00022675231,"about_ca_system_score_gemma":0.0003887775,"threshold_uncertainty_score":0.9999245},"labels":[],"label_agreement":null},{"id":"W2979860221","doi":"10.1021/acs.jproteome.9b00542","title":"Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Integrative Organismal Systems; U.S. National Library of Medicine; National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Eye Institute; Agence Nationale de la Recherche; National Human Genome Research Institute; Division of Biological Infrastructure; National Institute of General Medical Sciences; National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Science Foundation; Canadian Institutes of Health Research; Ministry of Health and Welfare; National Cancer Institute","keywords":"Human proteome project; Proteome; Workflow; Pipeline (software); Identifier; Computer science; UniProt; Data science; Computational biology; Proteomics; Bioinformatics; Biology; Database; Genetics","score_opus":0.1900897560987998,"score_gpt":0.4978729030103682,"score_spread":0.3077831469115684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979860221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8418408,0.000840321,0.12270608,0.0044216667,0.00013488183,0.0048861997,0.00017430879,0.00020351316,0.024792206],"genre_scores_gemma":[0.49833405,0.00018635136,0.49388158,0.000031337713,0.00095891475,0.00027872348,0.00005406145,0.000087034015,0.0061879326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99681723,0.00009635551,0.0009847975,0.00043334064,0.0011771263,0.00049117766],"domain_scores_gemma":[0.996391,0.00009911885,0.0005893461,0.001330275,0.00146543,0.00012484287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035072826,0.00018722106,0.0003702416,0.0005877463,0.00018089871,0.0001536712,0.0019405712,0.00017106778,0.0007477216],"category_scores_gemma":[0.0007094052,0.00015495686,0.00011410319,0.0007333018,0.00011281046,0.0006561253,0.0005269474,0.0015514065,0.00007983176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099232464,0.00008843682,0.00048645498,0.00026417972,0.000047369736,0.000013540641,0.000052368494,0.000014907611,0.9943037,0.00057203614,0.002658249,0.0013994928],"study_design_scores_gemma":[0.0014397989,0.0008277135,0.00015551418,0.0011979216,0.000032204796,0.00024301557,0.00068497524,0.004217788,0.9130154,0.04096503,0.036687028,0.00053355366],"about_ca_topic_score_codex":0.00003638714,"about_ca_topic_score_gemma":0.0000020534978,"teacher_disagreement_score":0.3711755,"about_ca_system_score_codex":0.00028420836,"about_ca_system_score_gemma":0.00038307614,"threshold_uncertainty_score":0.8187027},"labels":[],"label_agreement":null},{"id":"W2980443869","doi":"10.1021/acs.analchem.9b02899","title":"Improved Sensitivity in Low-Input Proteomics Using Micropillar Array-Based Chromatography","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"H2020 Research Infrastructures; Austrian Science Fund","keywords":"Chemistry; Chromatography; Proteomics; Sensitivity (control systems); Biochemistry","score_opus":0.008376634591706983,"score_gpt":0.25428041736406537,"score_spread":0.2459037827723584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980443869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96840924,0.000016798916,0.02716468,0.000117636155,0.000008089487,0.0002370375,0.000037509246,0.00014441308,0.003864565],"genre_scores_gemma":[0.9620156,0.000006139363,0.03746751,0.00010311549,0.000073906434,0.000042006643,0.000056065648,0.00004343595,0.00019217102],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848455,0.000007901339,0.00037199177,0.00055749516,0.00015187723,0.0004262119],"domain_scores_gemma":[0.9989063,0.00005788812,0.00013749859,0.0006876237,0.00007158137,0.00013907695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012922367,0.00026764613,0.00034413295,0.000039865434,0.00005656699,0.000038708047,0.00019395888,0.00030906464,0.00031476945],"category_scores_gemma":[0.00003559652,0.0002893699,0.00019291692,0.00031799002,0.00011837625,0.00006303245,0.00006381411,0.00048043372,0.000015150317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029166062,0.0001196463,0.01394872,0.00034991038,0.000015672984,0.000008972975,0.0000048226866,0.00029197586,0.985143,0.00004659095,0.000007002855,0.00003452384],"study_design_scores_gemma":[0.00045122814,0.0000049478026,0.000048022015,0.00013564205,0.000018576646,0.0000122094125,0.00001841376,0.09160804,0.9067579,0.0004091175,0.00020974799,0.00032616596],"about_ca_topic_score_codex":0.00005051341,"about_ca_topic_score_gemma":0.000003503424,"teacher_disagreement_score":0.09131607,"about_ca_system_score_codex":0.00016937855,"about_ca_system_score_gemma":0.00011641028,"threshold_uncertainty_score":0.99995583},"labels":[],"label_agreement":null},{"id":"W2982094355","doi":"10.1101/821447","title":"A synthetic peptide library for benchmarking crosslinking mass spectrometry search engines","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Österreichischen Akademie der Wissenschaften; Austrian Science Fund; European Commission","keywords":"False discovery rate; Benchmarking; Benchmark (surveying); Identification (biology); Database search engine; Mass spectrometry; Search engine; Computer science; Chemistry; Data mining; Combinatorial chemistry; Information retrieval; Chromatography; Biology; Biochemistry","score_opus":0.013226510590518572,"score_gpt":0.24283268037475358,"score_spread":0.229606169784235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982094355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.583192,0.0014022302,0.4079856,0.0003755047,0.00050121,0.0020679496,0.0017999734,0.0023850137,0.00029049523],"genre_scores_gemma":[0.6457978,0.0003320522,0.35148293,0.000061798404,0.00093373994,0.0010289139,0.0000041797807,0.0002929576,0.00006564369],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99669325,0.000026131818,0.00063765346,0.0014485533,0.0003428914,0.0008515353],"domain_scores_gemma":[0.99685144,0.0002517827,0.00042897454,0.0020180873,0.00022628464,0.00022344085],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035863652,0.0006784715,0.0006752462,0.0002864751,0.0002857891,0.0004592729,0.001120298,0.0007786737,0.00026408647],"category_scores_gemma":[0.000099042976,0.00078718306,0.00034713125,0.0003996438,0.00011582929,0.0002386753,0.0007871079,0.0013112058,0.000035707595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032060194,0.000073237796,0.0026822116,0.0018575796,0.00011164461,0.000009858804,0.0000059540475,0.00056488044,0.991369,0.0030693344,0.00021855792,0.0000056832005],"study_design_scores_gemma":[0.0003088879,0.000025150546,0.0003918458,0.0010408923,0.00008424998,3.14526e-8,0.0000033868275,0.005140878,0.9812295,0.00013829622,0.010658102,0.0009787744],"about_ca_topic_score_codex":0.000007451886,"about_ca_topic_score_gemma":1.2083335e-7,"teacher_disagreement_score":0.062605776,"about_ca_system_score_codex":0.00027972585,"about_ca_system_score_gemma":0.0004843841,"threshold_uncertainty_score":0.9994579},"labels":[],"label_agreement":null},{"id":"W2982543423","doi":"10.3390/proteomes7040036","title":"Innovating the Concept and Practice of Two-Dimensional Gel Electrophoresis in the Analysis of Proteomes at the Proteoform Level","year":2019,"lang":"en","type":"review","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"Proteome; Isoelectric focusing; Computational biology; Proteomics; Chemistry; Isoelectric point; Human proteome project; Tandem mass spectrometry; Two-dimensional gel electrophoresis; Gel electrophoresis; Mass spectrometry; Gene; Chromatography; Biology; Biochemistry; Enzyme","score_opus":0.06776096173842387,"score_gpt":0.3850864524222212,"score_spread":0.31732549068379734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982543423","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002636432,0.9849587,0.0004626336,0.0008380039,0.000010276197,0.009178574,0.00046853637,0.000036684458,0.0014101221],"genre_scores_gemma":[0.002419457,0.9429801,0.03339676,0.00021576571,0.00014689434,0.019204719,0.00031191437,0.00014023,0.0011841329],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971627,0.00025143323,0.00117225,0.0005153143,0.0005387948,0.00035952596],"domain_scores_gemma":[0.99431247,0.0019954145,0.0021741346,0.0012231222,0.00027074738,0.000024128822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015949066,0.00043909534,0.0013750215,0.00019329062,0.000257083,0.000042851054,0.000982458,0.00023556345,0.00020327356],"category_scores_gemma":[0.000689601,0.00020500297,0.0003910509,0.001483589,0.00046000042,0.00009706407,0.00046762274,0.00089816994,0.0000045564543],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101399,0.00033486998,0.00011646162,0.012374347,0.0036676358,0.0000048218203,0.0023012084,0.00021834087,0.008872983,0.011229472,0.0003314293,0.960447],"study_design_scores_gemma":[0.0012314033,0.00023167644,0.0000956659,0.008690697,0.013922377,0.00022403337,0.00083315483,0.00058983424,0.048747275,0.005066911,0.9185268,0.0018401415],"about_ca_topic_score_codex":0.00017374873,"about_ca_topic_score_gemma":0.000014457587,"teacher_disagreement_score":0.9586069,"about_ca_system_score_codex":0.00013189149,"about_ca_system_score_gemma":0.00026100708,"threshold_uncertainty_score":0.83597785},"labels":[],"label_agreement":null},{"id":"W2983153415","doi":"10.1016/j.ccell.2019.10.003","title":"Companion Diagnostics to Identify Biomarkers of Response to Anticancer Drugs Targeting the Proteome","year":2019,"lang":"en","type":"letter","venue":"Cancer Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Drug; Proteome; Companion diagnostic; Drug response; Drug discovery; Computational biology; Cancer research; Anticancer drug; Cancer drugs; Medicine; Pharmacology; Cancer; Bioinformatics; Biology; Internal medicine","score_opus":0.013889312572984022,"score_gpt":0.30961225352926025,"score_spread":0.2957229409562762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983153415","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15153371,0.0039254413,0.019428222,0.80254936,0.0010657345,0.008031628,0.0040313317,0.00047670022,0.008957853],"genre_scores_gemma":[0.13497877,0.0042175218,0.066096924,0.73588,0.008837737,0.016517105,0.0009791763,0.00097352685,0.03151922],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980023,0.00005402258,0.00049695966,0.000602689,0.00039023455,0.00045381184],"domain_scores_gemma":[0.9976578,0.0006080776,0.00040157142,0.0010492308,0.0002072156,0.00007613523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030361177,0.00035027342,0.00042274006,0.000066348264,0.00011636351,0.000047354963,0.0008969082,0.00040545312,0.0005494305],"category_scores_gemma":[0.00012392843,0.00029661725,0.00015401984,0.00027443838,0.000084875726,0.000047550875,0.0003036397,0.000816549,0.00008087667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009934426,0.000013818734,0.000080335914,0.00041361692,0.000029568626,0.0000033704312,0.00022913268,0.00008277098,0.34043863,0.0000039358506,0.6582911,0.00031434128],"study_design_scores_gemma":[0.000111886344,0.000016011874,0.000021264515,0.0002993297,0.000039548857,4.360571e-7,0.00006645024,0.000015924814,0.3708424,0.00007579196,0.62823826,0.00027271884],"about_ca_topic_score_codex":0.0003411526,"about_ca_topic_score_gemma":0.0000045899014,"teacher_disagreement_score":0.06666935,"about_ca_system_score_codex":0.00045051408,"about_ca_system_score_gemma":0.00019065558,"threshold_uncertainty_score":0.9999486},"labels":[],"label_agreement":null},{"id":"W2987063370","doi":"10.7554/elife.46883.023","title":"Author response: Proteome-wide signatures of function in highly diverged intrinsically disordered regions","year":2019,"lang":"en","type":"peer-review","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Proteome; Intrinsically disordered proteins; Computational biology; Function (biology); Biology; Evolutionary biology; Genetics; Biophysics","score_opus":0.021639820734884768,"score_gpt":0.30541097347656376,"score_spread":0.28377115274167897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987063370","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013334486,0.05240219,0.19172074,0.62800384,0.0019201029,0.024055608,0.005859111,0.0032235512,0.07948037],"genre_scores_gemma":[0.015655175,0.0034049938,0.0221683,0.0011705703,0.00019228454,0.003445529,0.002060787,0.00017089015,0.95173144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973717,0.00009059588,0.000963782,0.0007701922,0.00044428674,0.00035945768],"domain_scores_gemma":[0.9970536,0.00045210918,0.00071956374,0.0013502842,0.00033053252,0.00009389261],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004442419,0.00047117882,0.0009347148,0.0002218197,0.00007518193,0.000022549955,0.0006673769,0.0008480317,0.001147531],"category_scores_gemma":[0.0008954719,0.00042573913,0.00029952804,0.0004923963,0.00010559213,0.00008348348,0.00031040993,0.0013314376,0.000040081355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007503937,0.000259973,0.0000814496,0.0045291116,0.000069873175,0.0000035693247,0.000020834801,0.000032118354,0.03515648,0.0038521048,0.9529027,0.0023414232],"study_design_scores_gemma":[0.0003965082,0.0000821315,0.00014017214,0.0032531766,0.00010050509,0.0000014574262,0.000013526109,0.00002157082,0.01193057,0.0059459084,0.97761095,0.00050354906],"about_ca_topic_score_codex":0.00014340316,"about_ca_topic_score_gemma":0.00008225353,"teacher_disagreement_score":0.8722511,"about_ca_system_score_codex":0.00019071609,"about_ca_system_score_gemma":0.00031175074,"threshold_uncertainty_score":0.99981946},"labels":[],"label_agreement":null},{"id":"W2988339276","doi":"10.1002/pmic.201900029","title":"Targeted and Untargeted Proteomics Approaches in Biomarker Development","year":2019,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":168,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Genome British Columbia; Leading Edge Endowment Fund; Genome Canada","keywords":"Proteomics; Biomarker; Computational biology; Biomarker discovery; Biology; Genetics; Gene","score_opus":0.12262010183159597,"score_gpt":0.3282536606979548,"score_spread":0.20563355886635884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988339276","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034305773,0.982043,0.010356424,0.000022951102,0.000038460956,0.005372121,0.00015617379,0.00026296376,0.00140481],"genre_scores_gemma":[0.000014327144,0.6647962,0.3281698,0.000010600906,0.0000466132,0.005597446,0.0006994424,0.00015413434,0.0005114361],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967735,0.0000471102,0.0012190082,0.0011264695,0.00021083151,0.00062307186],"domain_scores_gemma":[0.998163,0.000082877494,0.0007102974,0.00085155276,0.000044673183,0.0001476269],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035180882,0.0008429149,0.0017260172,0.00028820106,0.00012869971,0.000092085276,0.00062280113,0.00096615864,0.00007371752],"category_scores_gemma":[0.00005967429,0.0007867803,0.00022372331,0.00042924559,0.00011681169,0.00012594178,0.00047597743,0.0010767619,0.000060722654],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032004213,0.00018851175,0.00009705998,0.036295068,0.0001784765,0.000007507747,0.00013577552,0.0000044537237,0.00083908846,0.0009568947,0.00004817286,0.961217],"study_design_scores_gemma":[0.0004580137,0.000012696872,0.0000042044085,0.006132148,0.00014901366,0.000044387893,0.000024125362,0.00034231873,0.007722698,0.00095379277,0.9827764,0.0013801677],"about_ca_topic_score_codex":0.000015555726,"about_ca_topic_score_gemma":0.000008590948,"teacher_disagreement_score":0.98272824,"about_ca_system_score_codex":0.00055207754,"about_ca_system_score_gemma":0.0005916621,"threshold_uncertainty_score":0.9994583},"labels":[],"label_agreement":null},{"id":"W2989501218","doi":"10.7554/elife.09579.018","title":"Author response: Determining composition of micron-scale protein deposits in neurodegenerative disease by spatially targeted optical microproteomics","year":2015,"lang":"en","type":"peer-review","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Scale (ratio); Composition (language); Neuroscience; Biology; Computational biology; Geography; Cartography","score_opus":0.022407212908972234,"score_gpt":0.31408705691323124,"score_spread":0.291679844004259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989501218","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61855024,0.0325209,0.23029834,0.0778621,0.00038574808,0.016477939,0.018932002,0.0010785857,0.0038941274],"genre_scores_gemma":[0.038808074,0.00082068593,0.78070074,0.0012265246,0.0003868591,0.0075241774,0.014771402,0.0005090122,0.15525253],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969044,0.00015561623,0.0011680165,0.0009012573,0.00043543457,0.00043529403],"domain_scores_gemma":[0.9975574,0.00009118369,0.0006814932,0.0008742,0.0004640621,0.00033167787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043837514,0.0005906427,0.000930691,0.000114177434,0.00008887049,0.000042130378,0.00060555135,0.0004973958,0.00012636313],"category_scores_gemma":[0.0001842085,0.00060679036,0.000200735,0.00024215349,0.0001706925,0.000093155264,0.00028067947,0.00089585176,0.0000092747505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005479798,0.00023575594,0.000017658802,0.001672919,0.000017273314,0.000016537764,0.000023529607,0.000029243996,0.91304797,0.000027436741,0.0830876,0.0012760783],"study_design_scores_gemma":[0.00046074454,0.00007686781,0.000010771016,0.0035381364,0.00010047986,0.000010655139,0.000005485333,0.0004640683,0.94012403,0.00018788002,0.0543834,0.00063746306],"about_ca_topic_score_codex":0.00009018354,"about_ca_topic_score_gemma":0.00007015186,"teacher_disagreement_score":0.5797422,"about_ca_system_score_codex":0.00033013624,"about_ca_system_score_gemma":0.0005751432,"threshold_uncertainty_score":0.9996383},"labels":[],"label_agreement":null},{"id":"W2990072002","doi":"10.1038/s41598-019-52954-4","title":"DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"","keywords":"Computer science; Deep learning; Convolutional neural network; Benchmark (surveying); Artificial intelligence; Biomarker discovery; Workflow; Pattern recognition (psychology); Feature (linguistics); Identification (biology); Machine learning; Proteomics; Tandem mass spectrometry; Mass spectrometry; Chemistry; Database; Biology","score_opus":0.009164021783822465,"score_gpt":0.2506179962631884,"score_spread":0.24145397447936595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990072002","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.459873,0.00010032774,0.5363519,0.00008070266,0.0005390659,0.00044045542,0.00001112231,0.0003094216,0.0022940168],"genre_scores_gemma":[0.8534005,0.0000033887843,0.09744788,0.000014756904,0.00009065865,0.00032787136,0.00024898408,0.00003432051,0.04843163],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851876,0.000004643368,0.0002620644,0.0007569457,0.00020322137,0.00025437545],"domain_scores_gemma":[0.99870104,0.000032048407,0.00030019664,0.0007663502,0.00012583047,0.00007452589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002628715,0.0001368089,0.00014676386,0.00004519151,0.00034470542,0.00014868376,0.00013374642,0.00014773618,0.00016956484],"category_scores_gemma":[0.00005834178,0.00013759673,0.00012209298,0.000120751465,0.00005161728,0.00014106798,0.00006520071,0.00024686637,0.00003262813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132154555,0.000024077832,0.0008582388,0.000044340366,0.000010315712,0.0000044689127,0.00016358885,0.01187725,0.97918856,0.000077421995,0.0011731574,0.0065653566],"study_design_scores_gemma":[0.00010890209,0.0000072934886,0.000012250331,0.000033864464,0.000016894837,0.00002001073,0.00006435602,0.28004026,0.56199306,0.07292475,0.0845689,0.00020946481],"about_ca_topic_score_codex":0.000022121032,"about_ca_topic_score_gemma":0.000041335403,"teacher_disagreement_score":0.43890402,"about_ca_system_score_codex":0.00008242999,"about_ca_system_score_gemma":0.00003579742,"threshold_uncertainty_score":0.56110317},"labels":[],"label_agreement":null},{"id":"W2990211287","doi":"10.1101/854976","title":"pepFunk, a tool for peptide-centric functional analysis in metaproteomic human gut microbiome studies","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Genome Canada","keywords":"Workflow; Metaproteomics; KEGG; Computational biology; Computer science; Metagenomics; Biology; Database; Biochemistry; Transcriptome; Gene","score_opus":0.024866673645254255,"score_gpt":0.2726977615316718,"score_spread":0.24783108788641756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990211287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630488,0.0014904537,0.030920621,0.00018906113,0.00019378855,0.0022060405,0.0014384355,0.00049222825,0.000020549312],"genre_scores_gemma":[0.9424484,0.0002831624,0.0515076,0.000098374185,0.00032223907,0.0050250716,0.000013574352,0.00015155418,0.00015003391],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964604,0.000040660172,0.0009925861,0.0015478659,0.00028854044,0.0006699639],"domain_scores_gemma":[0.9965717,0.00014231756,0.00079252647,0.0017517577,0.00062537147,0.0001163067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056038453,0.00071775477,0.0011981137,0.00078040577,0.00024460175,0.00014622661,0.0006971017,0.00064093946,0.00023367745],"category_scores_gemma":[0.000144766,0.00080334296,0.0006300731,0.0011757675,0.00013752587,0.00013444504,0.00066872075,0.00084981584,0.000035741505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004323967,0.00019963963,0.009206111,0.0009552195,0.0014418765,0.000004853558,0.000006155419,0.00092707324,0.98552,0.001157134,0.0005376369,0.0000010510363],"study_design_scores_gemma":[0.0017023769,0.000041324074,0.01727111,0.00046916248,0.0022816416,2.7401226e-8,0.000011771007,0.0011430313,0.96509725,0.00018570045,0.009637038,0.0021595692],"about_ca_topic_score_codex":0.000041675332,"about_ca_topic_score_gemma":0.000008761444,"teacher_disagreement_score":0.02060043,"about_ca_system_score_codex":0.0011798589,"about_ca_system_score_gemma":0.00040469243,"threshold_uncertainty_score":0.99944174},"labels":[],"label_agreement":null},{"id":"W2990905805","doi":"10.1016/j.ajpath.2019.08.015","title":"Identification of Prognostic Biomarkers in the Urinary Peptidome of the Small Renal Mass","year":2019,"lang":"en","type":"article","venue":"American Journal Of Pathology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Hospital for Sick Children; St. Michael's Hospital; Mount Sinai Hospital","funders":"Kidney Foundation of Canada; Canadian Institutes of Health Research; Canadian Urological Oncology Group","keywords":"Renal cell carcinoma; Medicine; Oncocytoma; Renal mass; Hazard ratio; Clear cell; Renal oncocytoma; Urinary system; Stage (stratigraphy); Internal medicine; Biomarker; Clear cell renal cell carcinoma; Kidney; Nephrectomy; Urology; Oncology; Pathology; Biology; Biochemistry","score_opus":0.008363092018056342,"score_gpt":0.2586317446823729,"score_spread":0.2502686526643165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990905805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492234,0.00005470822,0.004055214,0.00041972907,0.000017971657,0.0001185003,0.000009243913,0.0000029922608,0.00039931483],"genre_scores_gemma":[0.993288,0.000039228005,0.006570354,0.000032887,0.000018529086,0.000014269229,0.000001074442,0.000006939301,0.000028765362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916536,0.00007732889,0.00047470632,0.00008620057,0.000102726706,0.000093663984],"domain_scores_gemma":[0.9983061,0.00014535691,0.001138344,0.0003103198,0.00008559802,0.000014290528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038645402,0.000061840066,0.00018606758,0.000054058124,0.000017348351,0.0000027426395,0.00045244052,0.000032256343,0.00001821202],"category_scores_gemma":[0.000070475435,0.00003824712,0.000090840425,0.00022014524,0.000307017,0.000026599899,0.00003407597,0.00019955383,0.0000011362132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000500855,0.000088818575,0.03616619,0.00002177531,0.000016984955,0.000010113501,0.00027300708,0.000054474567,0.960252,0.0005165511,0.000009781864,0.0025402096],"study_design_scores_gemma":[0.0011592881,0.0013432626,0.122387625,0.00034052558,0.00015339513,0.0026568472,0.0060577844,0.000283048,0.8414415,0.023227734,0.00064775057,0.00030119796],"about_ca_topic_score_codex":0.0000055348582,"about_ca_topic_score_gemma":7.006949e-7,"teacher_disagreement_score":0.11881047,"about_ca_system_score_codex":0.000019983627,"about_ca_system_score_gemma":0.000041913692,"threshold_uncertainty_score":0.15596722},"labels":[],"label_agreement":null},{"id":"W2991580150","doi":"10.1101/860643","title":"A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Novo Nordisk Fonden; Novo Nordisk; European Commission","keywords":"Orbitrap; Mass spectrometry; Chemistry; Ion-mobility spectrometry; Chromatography; Proteome; Analytical Chemistry (journal); Hybrid mass spectrometer; Spectrometer; Triple quadrupole mass spectrometer; Tandem mass spectrometry; Selected reaction monitoring; Biochemistry","score_opus":0.010745096087640255,"score_gpt":0.23962511557917326,"score_spread":0.228880019491533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991580150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96479607,0.00022715266,0.0312769,0.00018005595,0.00015710437,0.002101699,0.00047558907,0.0006105547,0.00017490007],"genre_scores_gemma":[0.9767925,0.00015900965,0.021413252,0.0000817762,0.00019515184,0.0010679945,0.000002435489,0.00025229872,0.00003556813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99633527,0.000041957897,0.0007455535,0.0015653587,0.00042984134,0.0008820139],"domain_scores_gemma":[0.99691963,0.00004959059,0.0003687008,0.0021886101,0.00020626446,0.0002672229],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027885602,0.00091006065,0.0009349499,0.00030234145,0.000104424245,0.00025314762,0.0010450335,0.00065069,0.000077598736],"category_scores_gemma":[0.000034196404,0.00089963176,0.00019739979,0.00045995953,0.00015554564,0.00023557007,0.00037884602,0.0019607162,0.000044530712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011537159,0.00022154745,0.011170237,0.0006303428,0.00013949041,0.00003091804,0.000011805763,0.00024299831,0.987196,0.00018287924,0.00005647858,0.0000019054389],"study_design_scores_gemma":[0.0006215258,0.00009199876,0.006564283,0.0009539931,0.000065076034,8.412575e-8,0.000004574322,0.0005372059,0.98772633,0.00004081701,0.002180889,0.0012132323],"about_ca_topic_score_codex":0.00010122051,"about_ca_topic_score_gemma":0.000006228062,"teacher_disagreement_score":0.011996472,"about_ca_system_score_codex":0.00081842695,"about_ca_system_score_gemma":0.00034663593,"threshold_uncertainty_score":0.9993454},"labels":[],"label_agreement":null},{"id":"W2992174769","doi":"10.1021/acs.jproteome.9b00745","title":"Advances in Identifying and Characterizing the Human Proteome","year":2019,"lang":"en","type":"editorial","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Proteome; Computational biology; Human proteome project; Proteomics; Biology; Data science; Computer science; Bioinformatics; Biochemistry","score_opus":0.053153418449478525,"score_gpt":0.43515227149508695,"score_spread":0.38199885304560843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992174769","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40157345,0.071633525,0.0074988813,0.011341529,0.44312513,0.029178875,0.0009466112,0.00047551803,0.034226477],"genre_scores_gemma":[0.024446346,0.033010922,0.012525284,0.000016682376,0.9211952,0.002293522,0.00007794014,0.0003149809,0.006119126],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962342,0.00015255094,0.00095046445,0.00040213528,0.0016787434,0.0005819304],"domain_scores_gemma":[0.99671465,0.00078430586,0.00096743944,0.0005747655,0.0008426432,0.00011622205],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0040389975,0.00027393343,0.0005927109,0.00046892453,0.00036398377,0.00030004975,0.0012118132,0.00059769594,0.000087755834],"category_scores_gemma":[0.001004562,0.00019648382,0.00013712188,0.00038639797,0.00026456834,0.0005637495,0.00047829407,0.0063397544,0.000010681585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016991666,0.00014113249,0.00023966962,0.0033224428,0.000049903098,0.00007425429,0.00041963725,0.0000030860467,0.94437796,0.00033506082,0.044571787,0.0062951585],"study_design_scores_gemma":[0.0006574834,0.00014566336,0.00003127836,0.0029630607,0.000015169731,0.00003427927,0.00023111372,0.000010491713,0.058131818,0.012472245,0.9250014,0.0003060327],"about_ca_topic_score_codex":0.000029620618,"about_ca_topic_score_gemma":0.000009675792,"teacher_disagreement_score":0.88624614,"about_ca_system_score_codex":0.00041020985,"about_ca_system_score_gemma":0.00044204533,"threshold_uncertainty_score":0.99595267},"labels":[],"label_agreement":null},{"id":"W2994662728","doi":"10.1186/s12014-019-9262-0","title":"The plasma peptides of breast versus ovarian cancer","year":2019,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Kingston General Hospital; Mount Sinai Hospital; St. Boniface Hospital; St. Michael's Hospital; McMaster University; Toronto Metropolitan University; Ottawa Hospital; Clinical Evaluation Research Unit; University of Manitoba; Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research","keywords":"Breast cancer; Ovarian cancer; Proteomics; Oncology; Medicine; Internal medicine; Computational biology; Bioinformatics; Cancer; Chemistry; Biology; Biochemistry","score_opus":0.03561464309463789,"score_gpt":0.36128452936211497,"score_spread":0.32566988626747706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994662728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835872,0.00005594553,0.002231869,0.0011385268,0.00022563421,0.0005698179,0.00011866724,0.00010374706,0.011968605],"genre_scores_gemma":[0.9545902,0.00053772604,0.042067576,0.000045061875,0.00030098215,0.000337264,0.0000117415275,0.000037305574,0.0020721483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987921,0.000017450539,0.0005716966,0.0002813459,0.00012488873,0.00021250133],"domain_scores_gemma":[0.9982731,0.00054202095,0.000329936,0.0006753301,0.000103765145,0.00007588566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031421654,0.00012559418,0.00022765498,0.000010507756,0.00011110575,0.000022146203,0.00046523812,0.00018651667,0.00021953204],"category_scores_gemma":[0.00014101845,0.00009327524,0.00015990659,0.000086915774,0.00022482073,0.000051252395,0.00014429084,0.0004250459,0.000057322686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006873842,0.00086547877,0.09586699,0.00045658482,0.00056811963,0.0000033494794,0.00013738363,0.0006523412,0.53811467,0.1440141,0.002832517,0.20961463],"study_design_scores_gemma":[0.009997003,0.00043184528,0.00568266,0.00043388744,0.00018045306,0.00002227179,0.00036473875,0.011662332,0.7765696,0.052290663,0.14102247,0.0013420671],"about_ca_topic_score_codex":0.000038868868,"about_ca_topic_score_gemma":0.000014477046,"teacher_disagreement_score":0.23845497,"about_ca_system_score_codex":0.00004377947,"about_ca_system_score_gemma":0.00010153045,"threshold_uncertainty_score":0.38036537},"labels":[],"label_agreement":null},{"id":"W2995467264","doi":"10.1021/acs.jproteome.9b00434","title":"Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Health and Medical Research Council; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Cancer Institute; Canada Research Chairs; National Institutes of Health; Knut och Alice Wallenbergs Stiftelse; Ministry of Health and Welfare; National Institute of General Medical Sciences; Swiss Institute of Bioinformatics; National Institute on Aging","keywords":"Human proteome project; Proteome; Computational biology; Data science; Computer science; Proteomics; Bioinformatics; Biology; Genetics","score_opus":0.11076162887258939,"score_gpt":0.43624351416752133,"score_spread":0.32548188529493194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995467264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894039,0.00061644445,0.00026718827,0.003476239,0.000044335757,0.0051931096,0.000052184085,0.00006029064,0.00088631007],"genre_scores_gemma":[0.9868198,0.00024918615,0.007695443,0.00006834121,0.0009900209,0.0018567713,0.000023235567,0.000110105386,0.0021871063],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957956,0.00030195428,0.00091141945,0.0005338989,0.0017062419,0.00075089216],"domain_scores_gemma":[0.9966444,0.00044853875,0.00093497924,0.0010883124,0.0007327243,0.00015109393],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0042669033,0.00032732106,0.0004789904,0.0004019786,0.0013040382,0.00067179475,0.0016879113,0.00023929389,0.00019323417],"category_scores_gemma":[0.0003122929,0.00019037409,0.00019795244,0.000978795,0.00044328396,0.00045031752,0.00061134243,0.0032921028,0.000039405113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010992766,0.00018386205,0.004772615,0.0002343642,0.00009932497,0.00001715194,0.00058504817,0.0000010671125,0.9898226,0.0012663777,0.00061651325,0.0022911506],"study_design_scores_gemma":[0.0016508555,0.00087206624,0.008439903,0.0017743378,0.00005529409,0.00011674383,0.0011343079,0.000076947785,0.9437107,0.017945472,0.023647862,0.00057552796],"about_ca_topic_score_codex":0.00014289349,"about_ca_topic_score_gemma":0.000004797173,"teacher_disagreement_score":0.046111915,"about_ca_system_score_codex":0.000284289,"about_ca_system_score_gemma":0.00022248903,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W2998784335","doi":"10.3390/proteomes8010001","title":"Special Issue “Top-down Proteomics: In Memory of Dr Alfred Yergey”. Alfred Linwood Yergey, III, 17 September 1941–27 May 2018","year":2020,"lang":"en","type":"article","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Cognitive science; Proteomics; Art history; History; Biology; Art; Psychology; Genetics","score_opus":0.01603141614218598,"score_gpt":0.2718738150795785,"score_spread":0.25584239893739247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998784335","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5560991,0.00092728366,0.012494717,0.019608336,0.0007231005,0.012847602,0.0018092771,0.001858782,0.3936318],"genre_scores_gemma":[0.3881454,0.0009689618,0.44103116,0.002170794,0.027288744,0.010997739,0.0010541283,0.00079262047,0.12755047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99713504,0.00003770637,0.0009885577,0.00084112195,0.0003950444,0.00060250214],"domain_scores_gemma":[0.9982102,0.000061006784,0.0005126636,0.0008248271,0.00013609655,0.00025519956],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002095139,0.00047774796,0.0007444939,0.00011799518,0.00012195007,0.000044530996,0.0007885545,0.00039071564,0.009220558],"category_scores_gemma":[0.00013520184,0.00049474754,0.00024526333,0.00043923242,0.00021192359,0.00022987895,0.0003632179,0.00066923664,0.00031032352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004437341,0.00047465667,0.0022744457,0.00076073426,0.00013450281,0.00003436363,0.0019530031,0.00027307257,0.6733634,0.0005004033,0.31469926,0.0050884048],"study_design_scores_gemma":[0.0011764615,0.00006551097,0.000045375935,0.00011621075,0.000027603532,0.0000049694277,0.00021179365,0.00026830076,0.71859723,0.0018999358,0.2771085,0.00047812192],"about_ca_topic_score_codex":0.00019743589,"about_ca_topic_score_gemma":0.000050249084,"teacher_disagreement_score":0.42853644,"about_ca_system_score_codex":0.00015861986,"about_ca_system_score_gemma":0.00017317169,"threshold_uncertainty_score":0.99975044},"labels":[],"label_agreement":null},{"id":"W2998913628","doi":"10.1038/s41467-019-13973-x","title":"Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":362,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Carl Friedrich von Siemens Stiftung; Bundesministerium für Bildung und Forschung; Government of Ontario; National Natural Science Foundation of China; Government of Canada; Deutsche Forschungsgemeinschaft; Ontario Genomics Institute; China Scholarship Council; Ontario Genomics; Genome Canada; Alexander von Humboldt-Stiftung","keywords":"Proteome; Chromatography; Tandem mass spectrometry; Chemistry; Mass spectrometry; Reproducibility; Coefficient of variation; Proteomics; Quantitative proteomics; Tandem; Analytical Chemistry (journal); Materials science; Biochemistry","score_opus":0.03653844875497578,"score_gpt":0.32621555159644217,"score_spread":0.2896771028414664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998913628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64775586,0.08743404,0.16443163,0.048911966,0.000031190728,0.002917043,0.007261079,0.00089976506,0.040357437],"genre_scores_gemma":[0.6229045,0.0016311685,0.37487143,0.00008187873,0.000007579082,0.000118193886,0.0002963631,0.000014398033,0.00007447209],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990982,0.000030870116,0.0003543424,0.0003070613,0.00010783515,0.000101734506],"domain_scores_gemma":[0.99744743,0.00018275081,0.00033808214,0.0017456161,0.0002291314,0.000056968514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013643838,0.00011992977,0.00032670464,0.000075422366,0.00012300382,0.000010837084,0.0007165267,0.00019515128,0.000084233594],"category_scores_gemma":[0.00023643332,0.00011833237,0.00010579765,0.0008817904,0.00023268434,0.00006631092,0.00030368642,0.00054972176,8.192514e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003358035,0.0002233932,0.0074486877,0.00011717974,0.0005763833,1.19148616e-7,0.00097241194,0.0005113625,0.9727034,0.01270822,0.0037991647,0.00090610277],"study_design_scores_gemma":[0.00032589948,0.00005960672,0.0007162074,0.00006135584,0.00072754506,0.0000010887021,0.0003555103,0.020474713,0.9375101,0.0012519277,0.038213693,0.0003023788],"about_ca_topic_score_codex":0.000033843193,"about_ca_topic_score_gemma":0.000021391697,"teacher_disagreement_score":0.2104398,"about_ca_system_score_codex":0.000016539407,"about_ca_system_score_gemma":0.000030053932,"threshold_uncertainty_score":0.4825454},"labels":[],"label_agreement":null},{"id":"W2998993916","doi":"10.1101/2020.01.14.905737","title":"Integrating Proteomes for Lung Tissue and Lavage Reveals Pathways that Link Responses in Allergen-Challenged Mice","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Respiratory Research Network; University of Manitoba; Children's Hospital Research Institute of Manitoba; Research Manitoba","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Reseau canadien de recherche respiratoire; Research Manitoba","keywords":"Proteome; Bronchoalveolar lavage; Lung; Innate immune system; Immune system; Allergen; Biological pathway","score_opus":0.0319707115954769,"score_gpt":0.2722545217292138,"score_spread":0.24028381013373692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998993916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154848,0.0056264354,0.0681646,0.0027109159,0.00015409071,0.004801436,0.0016439657,0.0013411373,0.00007264149],"genre_scores_gemma":[0.8146281,0.0013466096,0.17878619,0.00011119055,0.0003518358,0.0045792847,0.0000022452052,0.00017987085,0.000014652069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99718255,0.000070836184,0.00068834523,0.0013153426,0.0002164771,0.00052647287],"domain_scores_gemma":[0.99771684,0.00025416148,0.0005850145,0.0009819648,0.00023039148,0.00023160178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054732367,0.000632071,0.0007320888,0.00015131863,0.00019864396,0.0001623516,0.00060492376,0.00076715427,0.00004257018],"category_scores_gemma":[0.0005918304,0.00070227106,0.00011547853,0.00019834952,0.00009969868,0.00012237704,0.0006456054,0.0012123899,0.0000045678826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007722951,0.000047483754,0.0008162525,0.0016873524,0.000056403125,0.000020752057,0.000060206246,0.0000074101804,0.99474955,0.00234671,0.000112382884,0.000018254155],"study_design_scores_gemma":[0.0004960837,0.000035161356,0.0008882926,0.0012226,0.00005391158,3.1324564e-8,0.000023983397,0.00094816426,0.98987085,0.00023715585,0.0053699547,0.00085384067],"about_ca_topic_score_codex":0.000030222805,"about_ca_topic_score_gemma":0.0000049297983,"teacher_disagreement_score":0.110621594,"about_ca_system_score_codex":0.00024145859,"about_ca_system_score_gemma":0.00027326136,"threshold_uncertainty_score":0.99954283},"labels":[],"label_agreement":null},{"id":"W2999448263","doi":"10.1101/2020.01.16.909143","title":"DrawAlignR: An interactive tool for across run chromatogram alignment visualization","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Mitacs; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Computer science; Software; Visualization; Source code; Plot (graphics); Open source; Analyte; Code (set theory); Data mining; Open source software; Chromatography; Programming language; Chemistry; Mathematics","score_opus":0.01657084770064049,"score_gpt":0.3004264691378481,"score_spread":0.2838556214372076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999448263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5755766,0.000116953386,0.41768903,0.00024317244,0.00024014933,0.0019276245,0.002366555,0.0018214493,0.00001848765],"genre_scores_gemma":[0.91722447,0.00011204133,0.07715809,0.00027339315,0.0006071051,0.004359819,0.000018138302,0.00024036545,0.0000065551485],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970681,0.000032925018,0.00068436837,0.0013531051,0.00029262263,0.00056886754],"domain_scores_gemma":[0.9971125,0.00006357485,0.0007019985,0.001394828,0.00045663374,0.00027047654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023364303,0.00062571926,0.0005700554,0.00006103294,0.00032309408,0.00037352313,0.0007601496,0.0006304768,0.00006679074],"category_scores_gemma":[0.00012912354,0.0007416741,0.00023130259,0.00023666503,0.000100033925,0.0002587456,0.0006064197,0.0005468826,0.000020456053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006370008,0.00025515255,0.00048652064,0.00065978814,0.00012806185,0.000005860422,0.000051036805,0.00006442432,0.9929471,0.0050933505,0.00023401983,0.000010999253],"study_design_scores_gemma":[0.00046439236,0.000057033296,0.00031831503,0.00029567652,0.00008397757,1.6167842e-8,0.000015617255,0.0034975717,0.97429717,0.0001249706,0.019949023,0.00089624815],"about_ca_topic_score_codex":0.000027566004,"about_ca_topic_score_gemma":0.0000013716692,"teacher_disagreement_score":0.3416479,"about_ca_system_score_codex":0.00048458547,"about_ca_system_score_gemma":0.0002507348,"threshold_uncertainty_score":0.99950343},"labels":[],"label_agreement":null},{"id":"W3001750885","doi":"10.1101/2020.01.21.914788","title":"Automated Workflow For Peptide-level Quantitation From DIA/ SWATH-MS Data","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Computer science; Software; Data mining; Sample (material); Database; Chemistry; Chromatography; Operating system","score_opus":0.06198145916799297,"score_gpt":0.2935127627583614,"score_spread":0.23153130359036844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001750885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26484463,0.000938275,0.6857611,0.0017325362,0.0005512773,0.0023700544,0.03616556,0.0075847274,0.00005184918],"genre_scores_gemma":[0.54642797,0.0002027883,0.45108968,0.00015145515,0.0006222599,0.0011832487,0.00012131071,0.0001941856,0.0000071062836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99666095,0.000028255177,0.0007332336,0.0017803434,0.00030592177,0.0004912868],"domain_scores_gemma":[0.9952682,0.00018846865,0.0005916064,0.0032935645,0.00038894065,0.00026921884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002538394,0.0006180235,0.0006270425,0.00008423583,0.0002346232,0.00027821164,0.0018299767,0.0007691108,0.00008460673],"category_scores_gemma":[0.00048206616,0.00073139835,0.0001627113,0.0002915627,0.000092615206,0.00024035235,0.0013179539,0.00084279827,0.00006808987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004526258,0.00010415594,0.00048033783,0.00044417096,0.00016649961,0.000007373849,0.000008021015,0.00008936949,0.9922524,0.0016240044,0.004767883,0.000010506444],"study_design_scores_gemma":[0.0006845448,0.000020193733,0.0025268653,0.00070110185,0.0002819063,6.303718e-9,0.0000041703925,0.059881184,0.899632,0.00036203806,0.034525886,0.0013801446],"about_ca_topic_score_codex":0.000174936,"about_ca_topic_score_gemma":0.000010562478,"teacher_disagreement_score":0.28158334,"about_ca_system_score_codex":0.00022791699,"about_ca_system_score_gemma":0.00043123902,"threshold_uncertainty_score":0.9995137},"labels":[],"label_agreement":null},{"id":"W3004063377","doi":"10.4018/978-1-7998-3038-2.ch011","title":"NBPMF","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Matching (statistics); Computer science; Bipartite graph; Inference; Function (biology); Artificial intelligence; Data mining; Pattern recognition (psychology); Mathematics; Statistics; Theoretical computer science","score_opus":0.023133866654383148,"score_gpt":0.29023992542050003,"score_spread":0.26710605876611687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004063377","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.623934e-7,0.024497632,0.49030292,0.0014413748,0.00006721991,0.00023617141,0.00009965798,0.00016988747,0.48318416],"genre_scores_gemma":[0.0029762052,0.14690752,0.6021234,0.0011702761,0.00044433656,0.00012693978,0.00056222104,0.00017284464,0.24551627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987116,0.0000027762528,0.0004662133,0.0004687176,0.00018910799,0.00016158383],"domain_scores_gemma":[0.99926484,0.00016232963,0.00021646674,0.00017984296,0.00009467481,0.00008182119],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003120355,0.00031653873,0.00033571856,0.00006306124,0.00011370116,0.00003667066,0.00022206498,0.00020480929,0.00027844077],"category_scores_gemma":[0.000016567104,0.0003381436,0.000067987945,0.000034373366,0.00033355213,0.00045196438,0.00014466228,0.00047537268,0.000037727074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001957168,0.00000796771,0.000008922274,0.00012279303,0.000011163298,0.000012260764,0.00003562945,0.2070161,0.000010976574,0.78403866,0.000044079534,0.008671868],"study_design_scores_gemma":[0.000030919324,0.000028969269,3.6235102e-7,0.0002171884,0.000012229064,0.000021316839,0.000023760258,0.003534498,0.0005894915,0.71656,0.27867407,0.0003072254],"about_ca_topic_score_codex":0.0000011232249,"about_ca_topic_score_gemma":0.000008658032,"teacher_disagreement_score":0.27863,"about_ca_system_score_codex":0.00005785622,"about_ca_system_score_gemma":0.00006180345,"threshold_uncertainty_score":0.9999071},"labels":[],"label_agreement":null},{"id":"W3004898987","doi":"10.1021/acs.jproteome.9b00555","title":"Repeat-Preserving Decoy Database for False Discovery Rate Estimation in Peptide Identification","year":2020,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Ontario Genomics; Genome Canada","keywords":"Decoy; False discovery rate; De Bruijn sequence; Computer science; Identification (biology); Sequence database; Database search engine; Mascot; Data mining; Database; Mathematics; Biology; Information retrieval; Search engine","score_opus":0.10329187605214592,"score_gpt":0.42070040839511125,"score_spread":0.31740853234296534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004898987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41330865,0.00014748271,0.578961,0.0061385566,0.000016466867,0.0010526967,0.00008438005,0.000031221763,0.00025955317],"genre_scores_gemma":[0.82014537,0.00022665139,0.17764215,0.00004166952,0.00028526856,0.0006516111,0.000060175826,0.000042978936,0.0009041167],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982655,0.00007884914,0.0007024185,0.00025079673,0.0004187019,0.00028373156],"domain_scores_gemma":[0.99832827,0.0003074996,0.0003840028,0.00035039426,0.0004930703,0.00013677444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023964292,0.00010013914,0.00020007828,0.00018200534,0.00014299547,0.000161904,0.0005442968,0.00007642732,0.00004858709],"category_scores_gemma":[0.002793046,0.00008491188,0.000087121436,0.00041230302,0.00005375727,0.0009512126,0.0001758939,0.000680519,0.000008058659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029005896,0.00007402215,0.0003588842,0.0004095674,0.000012283602,0.000011981565,0.00015905529,0.0008924813,0.9938358,0.0003825635,0.0018645307,0.0017087873],"study_design_scores_gemma":[0.0008966238,0.00011699042,0.0002705069,0.00039412154,0.000011562398,0.00001728246,0.00036845266,0.04161824,0.93535006,0.015426693,0.005354366,0.00017507403],"about_ca_topic_score_codex":0.000019794059,"about_ca_topic_score_gemma":0.000005949801,"teacher_disagreement_score":0.40683675,"about_ca_system_score_codex":0.00018300155,"about_ca_system_score_gemma":0.00017381384,"threshold_uncertainty_score":0.34626058},"labels":[],"label_agreement":null},{"id":"W3005183537","doi":"10.1038/s41467-020-14608-2","title":"A synthetic peptide library for benchmarking crosslinking-mass spectrometry search engines for proteins and protein complexes","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Österreichischen Akademie der Wissenschaften; Austrian Science Fund; European Commission","keywords":"Identification (biology); Benchmarking; Database search engine; False discovery rate; Mass spectrometry; Search engine; Computational biology; Computer science; Combinatorial chemistry; Peptide; Chemistry; Data mining; Biochemical engineering; Information retrieval; Biochemistry; Chromatography; Biology; Engineering","score_opus":0.026998351082653773,"score_gpt":0.3093610783249551,"score_spread":0.2823627272423013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005183537","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06301852,0.0093796505,0.83386904,0.07258842,0.000030670042,0.009694959,0.0029089916,0.0018998467,0.006609905],"genre_scores_gemma":[0.44327617,0.00012811605,0.553384,0.00018347961,0.00012029841,0.0024128703,0.0003173684,0.000042998166,0.0001346839],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990061,0.000017683024,0.00026144547,0.00035049947,0.00010913658,0.00025511996],"domain_scores_gemma":[0.99826247,0.00041692238,0.000115333874,0.000980705,0.00011526893,0.000109295564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011499255,0.00017820176,0.0002086906,0.000053919008,0.0006098859,0.00012272027,0.0009477271,0.00026824666,0.000032938355],"category_scores_gemma":[0.0002001958,0.00018415842,0.00010266302,0.00024656844,0.00016452641,0.00016401664,0.00035006597,0.0008225875,0.0000011299409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072680676,0.00010303182,0.00035302498,0.0005607538,0.000052006548,2.499233e-7,0.0002828403,0.000021250693,0.8273685,0.16752993,0.0012703812,0.0023853355],"study_design_scores_gemma":[0.0006708335,0.00012363514,0.000051045416,0.00023907304,0.00004875362,0.000005337707,0.00017261112,0.023127439,0.6450935,0.02994617,0.30003145,0.0004901758],"about_ca_topic_score_codex":0.0000025061318,"about_ca_topic_score_gemma":0.0000048779148,"teacher_disagreement_score":0.38025764,"about_ca_system_score_codex":0.000028381679,"about_ca_system_score_gemma":0.000064271015,"threshold_uncertainty_score":0.7509762},"labels":[],"label_agreement":null},{"id":"W3005901855","doi":"10.1074/mcp.tir119.001906","title":"A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients","year":2020,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":463,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Novo Nordisk; European Commission","keywords":"Orbitrap; Mass spectrometry; Chemistry; Ion-mobility spectrometry; Chromatography; Proteome; Analytical Chemistry (journal); Hybrid mass spectrometer; Triple quadrupole mass spectrometer; Spectrometer; Tandem mass spectrometry; Selected reaction monitoring; Biochemistry","score_opus":0.010305168935831032,"score_gpt":0.23770125509793968,"score_spread":0.22739608616210866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005901855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65224797,0.00009881042,0.34405804,0.0005502269,0.000012544011,0.0014843992,0.000044045337,0.00020593683,0.0012980353],"genre_scores_gemma":[0.91584176,0.000029440838,0.08282982,0.00027317856,0.00007503431,0.0006040869,0.00009447021,0.00015187617,0.000100344994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997262,0.000045201057,0.000594685,0.0009806105,0.0003882539,0.000729238],"domain_scores_gemma":[0.99863315,0.000017322753,0.00015999765,0.0008024343,0.00006992511,0.0003171782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014259285,0.0005683635,0.00056523277,0.00010898015,0.00010847443,0.00013400476,0.0007017357,0.00024664527,0.00008050189],"category_scores_gemma":[0.000029799729,0.0005533001,0.00019583014,0.00046868317,0.00014441776,0.00019359138,0.00014653575,0.0009762361,0.000030199972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022519547,0.00014137288,0.00073360524,0.00017652188,0.00006999829,0.00015227789,0.00023183707,0.0005239292,0.9971755,0.00034202044,0.000016401766,0.00021133758],"study_design_scores_gemma":[0.0008532799,0.00024237086,0.000028792057,0.00010271665,0.000036904356,0.00002001866,0.0000659559,0.0030196595,0.9918839,0.0020029882,0.0010615189,0.0006819202],"about_ca_topic_score_codex":0.000058481775,"about_ca_topic_score_gemma":0.0000065363843,"teacher_disagreement_score":0.2635938,"about_ca_system_score_codex":0.00025011945,"about_ca_system_score_gemma":0.000090682464,"threshold_uncertainty_score":0.99969184},"labels":[],"label_agreement":null},{"id":"W3005935183","doi":"10.1074/mcp.ra119.001839","title":"Improving Identification of In-organello Protein-Protein Interactions Using an Affinity-enrichable, Isotopically Coded, and Mass Spectrometry-cleavable Chemical Crosslinker","year":2020,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Jewish General Hospital; Leading Edge Endowment Fund; Deutsche Forschungsgemeinschaft; Genome British Columbia; McGill University; University of Victoria; Genome Canada","keywords":"Mass spectrometry; Chemistry; Identification (biology); Chromatography; Tandem affinity purification; Biochemistry; Affinity chromatography; Biology; Enzyme","score_opus":0.014194303723493363,"score_gpt":0.2517604045515448,"score_spread":0.23756610082805144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005935183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.557186,0.000057782458,0.44167155,0.00011975996,0.0000062103754,0.0007534398,0.000021725586,0.00007540357,0.000108128326],"genre_scores_gemma":[0.69234914,0.0000058818296,0.30716386,0.000040504066,0.00004982519,0.00023140556,0.000042191576,0.00006253815,0.00005463559],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977657,0.00004901911,0.00080090895,0.0007324876,0.00026110598,0.00039076884],"domain_scores_gemma":[0.9985661,0.000016541331,0.00046106297,0.0006081676,0.00014685605,0.00020127809],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023621642,0.0003076301,0.0003799905,0.000106437496,0.0001358223,0.00013106545,0.00043345272,0.00024601867,0.00007157019],"category_scores_gemma":[0.00018099409,0.00036914673,0.00010082196,0.00045257213,0.00014455488,0.00028396584,0.00028616792,0.0007410358,0.000006017431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006492394,0.00015798591,0.00015777414,0.0002831499,0.000019827037,0.000015611617,0.00013357568,0.0002858453,0.99732745,0.001259523,5.218248e-7,0.00029381405],"study_design_scores_gemma":[0.0004730083,0.000042893906,0.000005327256,0.00006729037,0.00003177254,0.000008512036,0.00008770998,0.03887416,0.95460546,0.005422072,0.00003805687,0.0003437206],"about_ca_topic_score_codex":0.00010091212,"about_ca_topic_score_gemma":0.0000025094055,"teacher_disagreement_score":0.13516314,"about_ca_system_score_codex":0.00015027272,"about_ca_system_score_gemma":0.00009306296,"threshold_uncertainty_score":0.999876},"labels":[],"label_agreement":null},{"id":"W3006493155","doi":"10.1159/000505187","title":"Detecting Proteomic Indicators to Distinguish Diabetic Nephropathy from Hypertensive Nephrosclerosis by Integrating Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging with High-Mass Accuracy Mass Spectrometry","year":2020,"lang":"en","type":"article","venue":"Kidney & Blood Pressure Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Nephrosclerosis; Diabetic nephropathy; Kidney disease; Mass spectrometry imaging; Medicine; Internal medicine; Chemistry; Kidney; Mass spectrometry; Fibrosis; Endocrinology; Urology","score_opus":0.015601155080211326,"score_gpt":0.28033139595977175,"score_spread":0.26473024087956043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006493155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8313964,0.00076182897,0.15707739,0.0050367396,0.00005244806,0.0024323126,0.001443198,0.0010680807,0.00073162874],"genre_scores_gemma":[0.7564975,0.000073254974,0.24088585,0.0004366949,0.0005099494,0.0008560306,0.00043922756,0.00019548982,0.00010597224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946772,0.00027923007,0.0008042155,0.001643719,0.0012836799,0.0013119758],"domain_scores_gemma":[0.99588877,0.00074544374,0.0005112305,0.0010391066,0.0006673561,0.0011480929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006076632,0.0006312934,0.0007272738,0.00048324466,0.0009797569,0.0006699589,0.0011579925,0.00031741467,0.00050797977],"category_scores_gemma":[0.003906942,0.00061127683,0.000145073,0.0035752056,0.00024952326,0.00042371574,0.00042091968,0.002236015,0.00005199014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014127934,0.00013124017,0.013648723,0.00023962792,0.00028402417,0.000026708638,0.00028077798,0.0000637488,0.982418,0.000056368306,0.0014103432,0.0012991542],"study_design_scores_gemma":[0.0011871041,0.00017236135,0.0005215086,0.0004915729,0.00040169447,0.000008307675,0.0006218028,0.0017578475,0.9909935,0.0009782455,0.0021289657,0.00073707895],"about_ca_topic_score_codex":0.00043441326,"about_ca_topic_score_gemma":0.000004768409,"teacher_disagreement_score":0.08380848,"about_ca_system_score_codex":0.00024265175,"about_ca_system_score_gemma":0.00033940468,"threshold_uncertainty_score":0.99963385},"labels":[],"label_agreement":null},{"id":"W3009229596","doi":"10.1093/bib/bbaa015","title":"Proteoform characterization based on top-down mass spectrometry","year":2020,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Hunan Provincial Innovation Foundation for Postgraduate; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Computer science; Identification (biology); Field (mathematics); Deconvolution; Data mining; Algorithm; Biology","score_opus":0.01125273561112743,"score_gpt":0.23502370400654946,"score_spread":0.22377096839542202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009229596","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048766308,0.0000038450476,0.91083807,0.011170559,0.000016649263,0.0006280022,0.00012436992,0.0004872777,0.027964916],"genre_scores_gemma":[0.24376112,0.000043101623,0.7425465,0.012296248,0.00015547876,0.0003396065,0.0005307869,0.000056028308,0.00027111982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989987,0.000002644601,0.00041542586,0.00015558826,0.00018464323,0.00024302151],"domain_scores_gemma":[0.99938804,0.000025957732,0.0002104756,0.00026004997,0.000030415995,0.00008507758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006965799,0.00015974566,0.0001648961,0.00006996094,0.00006891791,0.000055949997,0.00022350371,0.00011913495,0.00021665322],"category_scores_gemma":[0.00008590004,0.00016263821,0.00004891465,0.00034212158,0.000021674474,0.00019534309,0.00004098775,0.00028004788,0.000051654188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024909104,0.00028511725,0.0035935892,0.0018077535,0.00002229002,0.0000116834835,0.0016343835,0.0010909053,0.92807597,0.014009371,0.0013869983,0.04783286],"study_design_scores_gemma":[0.0007380898,0.00008795603,0.00019144775,0.00015522611,0.000007362564,0.0000031681918,0.00006777487,0.33609724,0.62557834,0.0013233024,0.03531661,0.00043348144],"about_ca_topic_score_codex":0.000006965565,"about_ca_topic_score_gemma":3.4205212e-7,"teacher_disagreement_score":0.33500636,"about_ca_system_score_codex":0.00015690915,"about_ca_system_score_gemma":0.00003865696,"threshold_uncertainty_score":0.6632194},"labels":[],"label_agreement":null},{"id":"W3009535618","doi":"10.1007/978-1-0716-0327-7_12","title":"The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses","year":2020,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Popularity; Pipeline (software); Computer science; Atlas (anatomy); Data science; World Wide Web; Biology; Operating system","score_opus":0.06438865556589658,"score_gpt":0.44335301408462396,"score_spread":0.3789643585187274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009535618","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008500203,0.0068236715,0.97304577,0.00021568085,0.000032042,0.00047527763,0.0003861806,0.00005664576,0.01895623],"genre_scores_gemma":[0.000079442434,0.0003994887,0.9873638,0.000117497264,0.00009986622,0.0003188123,0.0010269572,0.000056633387,0.010537479],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838334,0.000097128446,0.000579733,0.00071423023,0.00005776579,0.00016779994],"domain_scores_gemma":[0.9977192,0.0008497259,0.00038164473,0.00093002437,0.00007678813,0.000042591102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048855,0.00026453246,0.00047554052,0.000054754375,0.00014699448,0.00003571864,0.00064661575,0.0003773201,0.000006240294],"category_scores_gemma":[0.00020636407,0.00021450534,0.00011180236,0.000033715103,0.00022637438,0.000016217473,0.00054397876,0.00039601186,0.0000013725773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105570245,0.000011694095,0.0000060920265,0.00022653746,0.00021352831,0.000017114533,0.000015064489,0.00009962202,0.8021943,0.18269865,0.0004538763,0.013957956],"study_design_scores_gemma":[0.0006662738,0.0000598134,4.960584e-7,0.00025523696,0.0002532482,0.00013221342,0.000027252912,0.027788643,0.05982731,0.47759777,0.43275964,0.00063210365],"about_ca_topic_score_codex":0.000013373102,"about_ca_topic_score_gemma":0.000003660621,"teacher_disagreement_score":0.74236697,"about_ca_system_score_codex":0.00005107034,"about_ca_system_score_gemma":0.00007974875,"threshold_uncertainty_score":0.87472737},"labels":[],"label_agreement":null},{"id":"W3010772549","doi":"10.1101/2020.03.12.988089","title":"Standardization and Harmonization of Distributed Multi-National Proteotype Analysis supporting Precision Medicine Studies","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; VILLUM Center for Bioanalytical Sciences; National Health and Medical Research Council; Cancer Center Amsterdam; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Uniformed Services University of the Health Sciences; Villum Fonden; Canadian Institutes of Health Research; U.S. Department of Defense; Academia Sinica; Henry M. Jackson Foundation","keywords":"Standardization; Workflow; Harmonization; Precision medicine; Digitization; Data acquisition; Computer science; Metadata; Automatic identification and data capture; Data integration; Data science; Data mining; Medical physics; Database; Medicine; Telecommunications; World Wide Web","score_opus":0.035749010881012525,"score_gpt":0.31593525925649885,"score_spread":0.28018624837548634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010772549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.119390905,0.0008524732,0.87661767,0.0005266653,0.000043452757,0.00068480556,0.0015661226,0.00031316763,0.0000047227923],"genre_scores_gemma":[0.9043799,0.0007279063,0.09435989,0.000024374902,0.0001257102,0.00030538026,0.000025185394,0.000049482336,0.000002142916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977368,0.00003646511,0.0008205789,0.0007369985,0.00046991714,0.00019922978],"domain_scores_gemma":[0.9964147,0.00008439055,0.001139386,0.0004787909,0.0017620481,0.00012068009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004665546,0.00033293263,0.00067629054,0.00019530182,0.00014643063,0.000039822175,0.00024454918,0.00028843625,0.000043082622],"category_scores_gemma":[0.0013902183,0.00033427536,0.00009689559,0.000884847,0.00017089599,0.000103321734,0.00039499917,0.0003709645,9.2157455e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040320178,0.00007074878,0.009120778,0.00092449633,0.000793288,0.0000026121459,0.000038256407,0.0026030517,0.9852008,0.0010963442,0.000101226215,0.000008071587],"study_design_scores_gemma":[0.00059604394,0.000033116045,0.007862141,0.0005759082,0.0009619643,8.4888025e-9,0.000019853613,0.024504049,0.9639244,0.0001585639,0.00083538814,0.0005285311],"about_ca_topic_score_codex":0.000011829456,"about_ca_topic_score_gemma":0.000001138229,"teacher_disagreement_score":0.784989,"about_ca_system_score_codex":0.00024594137,"about_ca_system_score_gemma":0.0002077545,"threshold_uncertainty_score":0.99991095},"labels":[],"label_agreement":null},{"id":"W3011414077","doi":"10.1080/14789450.2020.1738931","title":"Function is what counts: how microbial community complexity affects species, proteome and pathway coverage in metaproteomics","year":2020,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Metaproteomics; Microbiome; Proteome; Metagenomics; Biology; Function (biology); Functional diversity; Computational biology; Proteogenomics; Ecology; Bioinformatics; Evolutionary biology; Genomics","score_opus":0.06166519462304689,"score_gpt":0.3297573361672219,"score_spread":0.26809214154417504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011414077","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008264957,0.9852143,0.007790544,0.00039887783,0.00008772211,0.0049978136,0.00052062346,0.00010043267,0.0008814525],"genre_scores_gemma":[0.0000027518968,0.94559515,0.050499767,0.00052043825,0.00021429585,0.0022700469,0.000550972,0.00011113335,0.00023548063],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762046,0.00026578442,0.00090841687,0.00060940854,0.00025822484,0.00033770176],"domain_scores_gemma":[0.99741244,0.00011421238,0.0011388574,0.0010960279,0.00010512381,0.00013334291],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005478721,0.00071514974,0.0026357095,0.000096546435,0.00016003514,0.00013400168,0.0006942904,0.0004919758,0.0003250448],"category_scores_gemma":[0.00016246863,0.0006507263,0.0004965853,0.00040351285,0.00026492012,0.00031767366,0.0004431774,0.0016468082,0.000023919143],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042827498,0.00026282886,0.0000010316619,0.309388,0.00019672331,0.000009601972,0.00018300237,6.485737e-8,0.007941729,0.0020724707,0.0051166313,0.6747851],"study_design_scores_gemma":[0.00019284996,0.000056307264,1.2836692e-7,0.07619354,0.00012482911,0.00002902469,0.000024022283,0.0000050169906,0.004718747,0.00072059076,0.917402,0.00053289847],"about_ca_topic_score_codex":0.000023558374,"about_ca_topic_score_gemma":0.0000060975576,"teacher_disagreement_score":0.9122854,"about_ca_system_score_codex":0.00038256828,"about_ca_system_score_gemma":0.00030241572,"threshold_uncertainty_score":0.9995944},"labels":[],"label_agreement":null},{"id":"W3011974630","doi":"10.1101/2020.03.13.989152","title":"MMS2plot: an R package for visualizing multiple MS/MS spectra for groups of modified and non-modified peptides","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Natural Science Foundation for Young Scientists of Shanxi Province; Young Scientists Fund; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Peptide; Computer science; Proteomics; Chemistry; Graphics; Mass spectrum; Computational biology; Chromatography; Mass spectrometry; Combinatorial chemistry; Operating system; Biology; Biochemistry","score_opus":0.02944413226493187,"score_gpt":0.2778333884668742,"score_spread":0.24838925620194235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011974630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59940606,0.0001556962,0.3960834,0.00009622796,0.00006682229,0.0017481497,0.0019704485,0.00045538065,0.000017789172],"genre_scores_gemma":[0.80537766,0.0001489868,0.191116,0.000053096694,0.00043461888,0.002639027,0.00000942161,0.00021785665,0.0000033446343],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99718463,0.000019314451,0.0007609138,0.0012941813,0.00020642014,0.0005345115],"domain_scores_gemma":[0.9970645,0.00021883954,0.0007326138,0.00127774,0.00039583276,0.00031051884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003009869,0.00062076794,0.00083613413,0.000116374504,0.00023858894,0.00013691964,0.00060490664,0.00061375165,0.000007983435],"category_scores_gemma":[0.0002683022,0.0007196939,0.00025485465,0.00017974559,0.00015113229,0.00016847273,0.0003682179,0.00052207254,0.0000012570262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001527359,0.00016494964,0.00044399954,0.0021630006,0.00010163722,0.0000020429206,0.000032703883,0.000068242836,0.9899048,0.006901917,0.000058244925,0.0000057293155],"study_design_scores_gemma":[0.0010817071,0.00009447947,0.0008083053,0.00034638753,0.00013817132,1.4382871e-8,0.000012302384,0.013799933,0.98175454,0.0005121764,0.0006585502,0.0007934278],"about_ca_topic_score_codex":0.000058301033,"about_ca_topic_score_gemma":0.0000051683223,"teacher_disagreement_score":0.20597158,"about_ca_system_score_codex":0.0001432626,"about_ca_system_score_gemma":0.00019237131,"threshold_uncertainty_score":0.9995254},"labels":[],"label_agreement":null},{"id":"W3011989760","doi":"10.1074/mcp.e120.002042","title":"Virtual Issue: Technological Innovations","year":2020,"lang":"en","type":"editorial","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Context (archaeology); Computer science; Function (biology); Data science; Posttranslational modification; Proteomics; Engineering ethics; Biology; Engineering","score_opus":0.007171199649536327,"score_gpt":0.24834904143895092,"score_spread":0.2411778417894146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011989760","genre_codex":"methods","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034652925,0.0006372214,0.88845515,0.0022478178,0.08787384,0.0024037622,0.0015401136,0.0031097264,0.010267078],"genre_scores_gemma":[0.005263243,0.00046098823,0.40979514,0.00045192498,0.55876815,0.00535136,0.011978972,0.00084661075,0.0070835804],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99625933,0.000038201728,0.0008801699,0.001342176,0.00084223435,0.0006378972],"domain_scores_gemma":[0.9971689,0.00011087554,0.0005959648,0.0015313105,0.00039136427,0.00020159697],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0002231509,0.00080653187,0.00076709036,0.00015879232,0.000275749,0.00016440231,0.0015361933,0.0029241038,0.00047501203],"category_scores_gemma":[0.0010157685,0.0008903803,0.00033907645,0.0006841398,0.0003563713,0.00008363407,0.00076644064,0.0036193384,0.00032610688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002295308,0.000088883484,9.4851845e-7,0.00012113759,0.000067451794,0.00009118337,0.000014587935,0.000026397824,0.67278165,0.006644991,0.3188204,0.0013194433],"study_design_scores_gemma":[0.00019122416,0.00003461291,1.1820408e-8,0.000053916527,0.000048425063,0.0000019904494,0.000013063623,0.00010903925,0.49345946,0.0037698476,0.5018274,0.00049098564],"about_ca_topic_score_codex":0.00001275837,"about_ca_topic_score_gemma":7.2306614e-7,"teacher_disagreement_score":0.47866,"about_ca_system_score_codex":0.00030708133,"about_ca_system_score_gemma":0.00040125212,"threshold_uncertainty_score":0.99935466},"labels":[],"label_agreement":null},{"id":"W3012898726","doi":"10.1093/bioinformatics/btaa206","title":"Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Benchmark (surveying); Fragmentation (computing); Annotation; Context (archaeology); Shotgun; Artificial intelligence; Tandem mass spectrometry; Pattern recognition (psychology); Mass spectrometry; Chemistry; Biology; Gene","score_opus":0.04870397349116574,"score_gpt":0.29562667999238523,"score_spread":0.2469227065012195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012898726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1060739,0.000025863083,0.89301634,0.000075613614,0.000011359334,0.00026032183,0.00011700578,0.000063494255,0.000356121],"genre_scores_gemma":[0.51203376,0.0000109161465,0.48761,0.000055472203,0.000054804106,0.000011833031,0.00020696141,0.000013090824,0.000003123007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990446,0.000004187873,0.0005063499,0.00013629005,0.00012841866,0.000180157],"domain_scores_gemma":[0.9991581,0.000032952164,0.00029428673,0.00041674136,0.000036534617,0.00006139225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008606559,0.00012107139,0.00018554775,0.000044300064,0.000038484704,0.0000224212,0.00040146397,0.00009834928,0.000025801624],"category_scores_gemma":[0.00007533881,0.00012654501,0.000026978927,0.00032603895,0.000041864925,0.00029297319,0.00016078416,0.00023117328,0.0000017658572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000164544,0.00016739339,0.005385295,0.0012489433,0.00006973973,0.0000058600826,0.0014377728,0.57507116,0.4045361,0.002530637,0.00031187522,0.009070717],"study_design_scores_gemma":[0.00022188999,0.000016063352,0.000017456685,0.000035426605,0.000012528884,0.0000032239325,0.00016593962,0.98723054,0.011855512,0.00029174273,0.000020124995,0.00012952602],"about_ca_topic_score_codex":0.000005174138,"about_ca_topic_score_gemma":0.0000011660205,"teacher_disagreement_score":0.41215944,"about_ca_system_score_codex":0.000052296957,"about_ca_system_score_gemma":0.000034975277,"threshold_uncertainty_score":0.51603556},"labels":[],"label_agreement":null},{"id":"W3014191583","doi":"10.1016/j.celrep.2020.03.021","title":"Defining and Targeting Adaptations to Oncogenic KRASG12C Inhibition Using Quantitative Temporal Proteomics","year":2020,"lang":"en","type":"article","venue":"Cell Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Dana-Farber Cancer Institute; Brigham and Women's Hospital; Uniwersytet Medyczny w Lodzi; Sidney Kimmel Foundation; Burroughs Wellcome Fund","keywords":"Proteomics; KRAS; Proteome; Computational biology; Quantitative proteomics; Biology; Pancreatic cancer; Bioinformatics; Cancer research; Cancer; Colorectal cancer; Biochemistry","score_opus":0.031637760052961254,"score_gpt":0.2944324247118294,"score_spread":0.26279466465886814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014191583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8002348,0.00014020895,0.19718178,0.00022724595,0.000010737849,0.00028606033,0.000017390363,0.00013774163,0.0017640423],"genre_scores_gemma":[0.59390724,0.000009705412,0.40579787,0.000094953655,0.000028933762,0.00007330235,0.000046516725,0.00002009452,0.00002139673],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989882,0.000007325411,0.000374052,0.00036571018,0.000101245874,0.00016348032],"domain_scores_gemma":[0.9993113,0.000029988012,0.00028320766,0.00014893364,0.0000774755,0.00014908111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009328387,0.00012720023,0.00014217629,0.000027055188,0.00019405094,0.00003748295,0.000036587477,0.000069823036,0.000032632353],"category_scores_gemma":[0.00014278937,0.00014481458,0.000040570467,0.0001577683,0.000030645093,0.000108208675,0.000081437465,0.0001640043,0.000010926403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000095646965,0.000016162669,0.001732848,0.000048373033,0.000004309666,0.000039590377,0.0005812758,0.0008717972,0.9958474,0.0005247068,0.0000943768,0.00022960256],"study_design_scores_gemma":[0.00008999721,0.000031628264,0.000023685316,0.000049908565,0.000020272297,0.000042537922,0.0006953437,0.004442492,0.98900217,0.0023101491,0.0030665975,0.00022519576],"about_ca_topic_score_codex":0.00002860343,"about_ca_topic_score_gemma":0.0000020542107,"teacher_disagreement_score":0.2086161,"about_ca_system_score_codex":0.000052410614,"about_ca_system_score_gemma":0.00007258877,"threshold_uncertainty_score":0.5905367},"labels":[],"label_agreement":null},{"id":"W3017268958","doi":"10.17504/protocols.io.be45jgy6","title":"Sample preparation to mass spectrometer using ZipTipC18 v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sample (material); Mass spectrometry; Sample preparation; Spectrometer; Analytical Chemistry (journal); Chemistry; Chromatography; Physics; Optics","score_opus":0.05151265213410842,"score_gpt":0.3479233868671744,"score_spread":0.29641073473306595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017268958","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022943683,0.000011897242,0.95992917,0.0006994785,0.00003201219,0.00045379132,0.00019707545,0.0004816097,0.015251301],"genre_scores_gemma":[0.17214118,0.000015939408,0.8260223,0.00024245468,0.00028619135,0.0003290285,0.00022352277,0.000044154513,0.00069521286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987044,0.0000058253195,0.000304099,0.00063297397,0.00014736423,0.00020537741],"domain_scores_gemma":[0.99892646,0.00003498664,0.00014417604,0.0007079259,0.00005820703,0.00012824542],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004169254,0.00023917884,0.0002483606,0.000044234686,0.0000703484,0.0000875895,0.00033806078,0.00024243431,0.0013413182],"category_scores_gemma":[0.00004600432,0.00025689774,0.00011832755,0.00009668653,0.0000151892455,0.000041777363,0.000535844,0.00041770402,0.00005504363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032432883,0.000028168583,0.000048276317,0.00015716639,0.000038205406,0.0000014061238,0.000099796925,0.0029023266,0.9817927,0.01298895,0.001145273,0.00076533225],"study_design_scores_gemma":[0.00006879215,0.00001704814,0.0000015678762,0.000058203485,0.000035128956,0.0000022873905,0.000022739685,0.027863786,0.72376907,0.22908653,0.018632853,0.00044201498],"about_ca_topic_score_codex":0.00013119917,"about_ca_topic_score_gemma":0.000005649853,"teacher_disagreement_score":0.25802362,"about_ca_system_score_codex":0.00022081973,"about_ca_system_score_gemma":0.0000686241,"threshold_uncertainty_score":0.9999883},"labels":[],"label_agreement":null},{"id":"W3022645302","doi":"","title":"Mass spectrometry as a cancer diagnostic tool: a meta-analysis of published data","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Pancreatic cancer; Cancer; Prostate cancer; Proteome; Transthyretin; Mass spectrometry; Proteomics; Ovarian cancer; Cancer biomarkers; Blood proteins; Haptoglobin; Chemistry; Prostate; Internal medicine; Cancer research; Oncology; Medicine; Biochemistry; Chromatography","score_opus":0.05574855911730922,"score_gpt":0.35024029427362485,"score_spread":0.29449173515631566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022645302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06635843,0.0050567426,0.6749926,0.018276742,0.000023492585,0.000840198,0.0051432233,0.0009496444,0.2283589],"genre_scores_gemma":[0.62633735,0.0003840725,0.3643373,0.0003872691,0.000082108985,0.00044637828,0.0004699354,0.000025188687,0.0075304285],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877197,0.000006475594,0.00036852036,0.00046850657,0.0002014696,0.0001830887],"domain_scores_gemma":[0.9975434,0.00026292767,0.00018231577,0.0018769503,0.00007749055,0.000056946923],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015886447,0.00013820695,0.0005433378,0.00013859251,0.000037421396,0.00004280033,0.000781045,0.00007498745,0.039692894],"category_scores_gemma":[0.0002982969,0.00011140497,0.0003358988,0.0008626178,0.00003827525,0.00029601925,0.00021428014,0.00014082067,0.000016964492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052662726,0.0010893878,0.0060283327,0.00017613621,0.31784603,0.0000096469,0.000116775984,0.0041666413,0.49002907,0.13800867,0.03327252,0.009204143],"study_design_scores_gemma":[0.00027862654,0.000014247227,0.000114762464,0.000004484433,0.19492067,0.0000027121669,0.000055510194,0.010080449,0.7171952,0.015612193,0.06114205,0.00057906687],"about_ca_topic_score_codex":0.00040561773,"about_ca_topic_score_gemma":0.00019271513,"teacher_disagreement_score":0.5599789,"about_ca_system_score_codex":0.000050469083,"about_ca_system_score_gemma":0.000044036595,"threshold_uncertainty_score":0.961185},"labels":[],"label_agreement":null},{"id":"W3022716418","doi":"10.1136/ijgc-00009577-200609000-00039","title":"To the Editor:","year":2006,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Computational biology","score_opus":0.011902808108165647,"score_gpt":0.3175104469808236,"score_spread":0.30560763887265796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022716418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7729008,0.000910315,0.079194404,0.09412088,0.0071341917,0.00026568677,0.00016925232,0.00011985266,0.045184594],"genre_scores_gemma":[0.9789864,0.00008875396,0.007571725,0.0010716901,0.011201238,0.000060002287,0.0000024278797,0.000006830278,0.0010109578],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993236,0.0000052242035,0.00024832776,0.00007420518,0.00025938512,0.00008927063],"domain_scores_gemma":[0.9992776,0.00010961656,0.00018099762,0.000076389675,0.0003179736,0.00003744389],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009521628,0.000058338443,0.00007988626,0.000024246832,0.000042546577,0.000030908475,0.00053789513,0.000047996964,0.0018198],"category_scores_gemma":[0.00008172289,0.000034475823,0.00007796905,0.000044566477,0.000029345185,0.0000493969,0.000063376785,0.0001829639,0.000015156611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002703808,0.00045250513,0.020938944,0.0000072157404,0.00015418863,0.00006617739,0.000062018524,0.0119539555,0.123907484,0.03254679,0.7383656,0.07127475],"study_design_scores_gemma":[0.00015731044,0.000025237428,0.0022095735,0.000013463618,0.0000072693597,0.000019424477,0.000013515384,0.00003870598,0.026748335,0.011518972,0.95918566,0.00006254965],"about_ca_topic_score_codex":0.00003099595,"about_ca_topic_score_gemma":0.00003476507,"teacher_disagreement_score":0.22082005,"about_ca_system_score_codex":0.00016775422,"about_ca_system_score_gemma":0.00003782557,"threshold_uncertainty_score":0.9990927},"labels":[],"label_agreement":null},{"id":"W3023043090","doi":"10.1093/bioinformatics/btaa289","title":"pepFunk: a tool for peptide-centric functional analysis of metaproteomic human gut microbiome studies","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Genome Canada","keywords":"Workflow; KEGG; Computer science; Metagenomics; Computational biology; Source code; In silico; Metaproteomics; Biology; Database; Gene; Biochemistry; Transcriptome; Programming language","score_opus":0.0484184661842432,"score_gpt":0.3062297102970739,"score_spread":0.25781124411283074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023043090","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4441644,0.00036898043,0.5488108,0.00089728244,0.00003709522,0.0013675097,0.0017429546,0.00037287996,0.0022381253],"genre_scores_gemma":[0.4518419,0.00013013679,0.54481184,0.0005686302,0.00014047476,0.00068696716,0.00094941846,0.00003628734,0.0008343305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889064,0.0000032374157,0.0006443844,0.00014846209,0.00013008082,0.00018320027],"domain_scores_gemma":[0.99900603,0.00007075482,0.0004012612,0.00026940284,0.00019717518,0.000055391967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009303071,0.00015866905,0.00040194558,0.00013184812,0.00013977576,0.000019895731,0.00019789627,0.00007779483,0.0001801132],"category_scores_gemma":[0.00008116863,0.00014732024,0.00030059172,0.0006139529,0.000072978626,0.000122065,0.00010157078,0.00008913676,0.000009867153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012744106,0.00018810286,0.001381212,0.002512721,0.0050277086,5.69923e-7,0.0018695394,0.0014987207,0.9536521,0.01212118,0.019092558,0.0025281569],"study_design_scores_gemma":[0.0028011994,0.00025580815,0.00046161178,0.000104964216,0.0062822583,0.000005884635,0.002647287,0.10435744,0.80308235,0.0043237642,0.07429959,0.0013778701],"about_ca_topic_score_codex":0.000002039626,"about_ca_topic_score_gemma":0.0000011393564,"teacher_disagreement_score":0.15056977,"about_ca_system_score_codex":0.00007941052,"about_ca_system_score_gemma":0.000039738432,"threshold_uncertainty_score":0.6007545},"labels":[],"label_agreement":null},{"id":"W3023437134","doi":"10.1101/2020.05.07.082263","title":"VolcaNoseR – a web app for creating, exploring, labeling and sharing volcano plots","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Plot (graphics); Measure (data warehouse); Web application; Identification (biology); Data sharing; Transparency (behavior)","score_opus":0.03602986945499646,"score_gpt":0.25636439555717316,"score_spread":0.2203345261021767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023437134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96050054,0.0012953556,0.03178089,0.00045113178,0.00025529388,0.0016490314,0.0011395152,0.0027847309,0.0001434843],"genre_scores_gemma":[0.8289692,0.000890023,0.16292395,0.00015408538,0.00080714014,0.005858313,0.0000026886112,0.00035681907,0.00003780451],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99668384,0.000013046708,0.000679611,0.0016940654,0.00026604385,0.0006634076],"domain_scores_gemma":[0.99725777,0.00009581372,0.00056288915,0.0013316565,0.00035150335,0.0004003794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002504991,0.0007189992,0.0007013213,0.00012834642,0.000380936,0.0003088104,0.00078896526,0.000552332,0.00005612113],"category_scores_gemma":[0.00030037356,0.0008630468,0.00018830247,0.00024230752,0.000105166204,0.00019956137,0.0011894696,0.0010037862,0.000012640495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035679994,0.00006162641,0.003588548,0.0014594689,0.00012121133,0.000008659852,0.000021507087,0.000037757607,0.98994285,0.0045484668,0.0001627708,0.000011463133],"study_design_scores_gemma":[0.0007465869,0.000035105808,0.00044373103,0.0011041655,0.00019913787,3.1043534e-8,0.000010675912,0.005545977,0.95243466,0.00015843434,0.037966244,0.0013552535],"about_ca_topic_score_codex":0.00005253161,"about_ca_topic_score_gemma":0.0000033281544,"teacher_disagreement_score":0.13153139,"about_ca_system_score_codex":0.00025436506,"about_ca_system_score_gemma":0.0003215919,"threshold_uncertainty_score":0.999382},"labels":[],"label_agreement":null},{"id":"W3024086030","doi":"10.1002/pmic.201900353","title":"DrawAlignR: An Interactive Tool for Across Run Chromatogram Alignment Visualization","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Genomics Institute; Genome Canada","keywords":"Computer science; Visualization; Software; Source code; Data mining; Open source; Plot (graphics); Code (set theory); Analyte; Open source software; Raw data; Chromatography; Chemistry; Programming language; Mathematics","score_opus":0.02060161166589898,"score_gpt":0.34145732542147694,"score_spread":0.320855713755578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024086030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.306361,0.000009631599,0.6913073,0.0003792411,0.000015475436,0.0010798882,0.00021200458,0.0003843108,0.00025116894],"genre_scores_gemma":[0.7108852,0.00002484417,0.28471908,0.0006093755,0.00026833222,0.0029759195,0.0003719981,0.000069161266,0.00007603549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988678,0.0000088893585,0.00030929144,0.0004202833,0.0001150768,0.00027862718],"domain_scores_gemma":[0.99925524,0.000028782346,0.00019649768,0.0002974386,0.00010199622,0.00012007235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082358834,0.00018735687,0.0001848021,0.000011325121,0.00020763365,0.00010226297,0.00027045724,0.00012707751,0.00006622367],"category_scores_gemma":[0.00006526098,0.00020125497,0.00008701122,0.00010103189,0.00004438044,0.0002445024,0.0001034947,0.00012607616,0.000012874906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018059008,0.00017357945,0.0004256736,0.00018266667,0.00003366557,9.088474e-7,0.0017481906,0.00014864883,0.98100275,0.0103653055,0.0002432148,0.0054948125],"study_design_scores_gemma":[0.0005013599,0.0001027578,0.000007896083,0.000024319277,0.000012311349,0.0000030310412,0.00028382294,0.01927582,0.95731634,0.0058884625,0.016301239,0.00028261702],"about_ca_topic_score_codex":0.00000964787,"about_ca_topic_score_gemma":0.0000019736437,"teacher_disagreement_score":0.4065882,"about_ca_system_score_codex":0.000104916006,"about_ca_system_score_gemma":0.000033509266,"threshold_uncertainty_score":0.8206939},"labels":[],"label_agreement":null},{"id":"W3027632404","doi":"10.1101/2020.05.22.110726","title":"MealTime-MS: A Machine Learning-Guided Real-Time Mass Spectrometry Analysis for Protein Identification and Efficient Dynamic Exclusion","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Government of Canada; Genome Canada; Ontario Genomics; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute","keywords":"Mass spectrometry; Proteomics; Proteome; Identification (biology); Chemistry; Computational biology; Mass spectrum; Computer science; Chromatography; Biology; Biochemistry","score_opus":0.011343729776511213,"score_gpt":0.2523473924127082,"score_spread":0.241003662636197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027632404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5619119,0.0003272979,0.43374467,0.0004639732,0.000031780175,0.001720845,0.00080042216,0.0009790336,0.000020106403],"genre_scores_gemma":[0.80246466,0.00032304582,0.19505665,0.000016855276,0.000112198075,0.0017896071,0.000023619483,0.0001484332,0.000064962675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99666435,0.00006057505,0.00084834994,0.0015841726,0.00036753016,0.0004750222],"domain_scores_gemma":[0.9969575,0.00006446442,0.0010296496,0.0012839645,0.00038584907,0.00027860707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055212126,0.00059426395,0.0007932794,0.0004048282,0.00037595478,0.00021844327,0.00057106675,0.0005443574,0.00010844899],"category_scores_gemma":[0.00027344914,0.0006801529,0.00031084483,0.0010034556,0.000102014936,0.000064779044,0.00054684025,0.0008405557,0.000020614156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045561665,0.000088488785,0.00048616712,0.00067313237,0.0003248309,0.000004092736,0.000007456352,0.0010251355,0.9969445,0.00038221828,0.000015618578,0.000002797357],"study_design_scores_gemma":[0.00038426803,0.000030223826,0.0015030256,0.00016940956,0.000637074,1.7189935e-8,0.0000018564251,0.21854535,0.77737147,0.00007744997,0.00056023657,0.0007196359],"about_ca_topic_score_codex":0.00007978338,"about_ca_topic_score_gemma":0.0000016016086,"teacher_disagreement_score":0.24055277,"about_ca_system_score_codex":0.0005323157,"about_ca_system_score_gemma":0.00017903149,"threshold_uncertainty_score":0.99956495},"labels":[],"label_agreement":null},{"id":"W3030505384","doi":"10.1186/s12014-020-09283-w","title":"Recent advances in mass spectrometry based clinical proteomics: applications to cancer research","year":2020,"lang":"en","type":"review","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":316,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute; Ontario Ministry of Health and Long-Term Care","keywords":"Biomarker discovery; Proteogenomics; Proteomics; Computational biology; Proteome; Precision medicine; Cancer biomarkers; Personalized medicine; Bioinformatics; Biomarker; Translational research; Medicine; Genomics; Data science; Computer science; Cancer; Biology; Genome; Pathology; Internal medicine","score_opus":0.23807337439240325,"score_gpt":0.5558810722294224,"score_spread":0.3178076978370191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030505384","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011663377,0.8500256,0.13273875,0.0014269499,0.0001696144,0.012005032,0.00072998635,0.00038097953,0.0025114089],"genre_scores_gemma":[0.0000011214931,0.63736916,0.32844952,0.00029159855,0.0016796654,0.031584408,0.00019380797,0.00021195142,0.00021879723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.988989,0.0007350666,0.005196825,0.0030168316,0.0007627939,0.0012994648],"domain_scores_gemma":[0.9918617,0.0026202863,0.0014599484,0.0025202509,0.00049629936,0.0010415222],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0042673927,0.0009855088,0.003893867,0.00047956724,0.00030285466,0.00014935623,0.0028040009,0.0020338965,0.00052451],"category_scores_gemma":[0.0027354956,0.00094741187,0.001219395,0.002901848,0.0006554737,0.0001746983,0.000806776,0.007963281,0.0005959708],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013475011,0.00058742857,0.00013820364,0.0051236874,0.00006920536,0.000016100974,0.0000048560923,0.000020463918,0.00011594829,0.0008430481,0.00072399597,0.9922223],"study_design_scores_gemma":[0.0005989531,0.00017800485,0.0000015339734,0.005013376,0.00015531896,0.0000034939453,0.000012735891,0.0001284739,0.00042982463,0.0063153547,0.9861912,0.00097173423],"about_ca_topic_score_codex":0.000011103528,"about_ca_topic_score_gemma":0.000029282672,"teacher_disagreement_score":0.9912506,"about_ca_system_score_codex":0.0013129569,"about_ca_system_score_gemma":0.0026332187,"threshold_uncertainty_score":0.9992976},"labels":[],"label_agreement":null},{"id":"W3034902421","doi":"10.1021/acs.jproteome.0c00186","title":"Data Dependent–Independent Acquisition (DDIA) Proteomics","year":2020,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome British Columbia; Canada Foundation for Innovation; Ontario Genomics; Genome Canada","keywords":"Computer science; Data acquisition; Workflow; False discovery rate; Classifier (UML); Pipeline (software); Proteomics; Artificial intelligence; Data mining; Pattern recognition (psychology); Chemistry","score_opus":0.19210197855716024,"score_gpt":0.4275314179323296,"score_spread":0.23542943937516939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034902421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49721026,0.0011907443,0.45976356,0.027578328,0.000098686294,0.0030919616,0.00081451406,0.00024903333,0.010002911],"genre_scores_gemma":[0.8049568,0.0005026321,0.19212587,0.00014083843,0.0015338705,0.00017454874,0.000065130094,0.0000733984,0.0004268963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969892,0.0000922711,0.0006919304,0.00041215098,0.0013494892,0.0004649382],"domain_scores_gemma":[0.9974782,0.00010965673,0.0004307024,0.0008393602,0.0007444722,0.00039759348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019205181,0.00016162949,0.00029780512,0.00014948395,0.00023084626,0.00014490032,0.0020307254,0.00018617668,0.00073949766],"category_scores_gemma":[0.0005285959,0.00014649722,0.00009412517,0.00040334,0.00011903063,0.00056083815,0.00090400944,0.0017898937,0.000080029844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002661045,0.00013370527,0.00033569327,0.0001785258,0.00004649952,0.00007962576,0.00010318075,0.000044137265,0.9932033,0.0005517255,0.002269831,0.0027877132],"study_design_scores_gemma":[0.0011193934,0.00032135853,0.000065903136,0.000177987,0.000025914052,0.00022472326,0.00035367743,0.0024901326,0.9583395,0.012111953,0.024479909,0.00028956306],"about_ca_topic_score_codex":0.000009200872,"about_ca_topic_score_gemma":0.0000017258233,"teacher_disagreement_score":0.30774656,"about_ca_system_score_codex":0.00020024418,"about_ca_system_score_gemma":0.00037065704,"threshold_uncertainty_score":0.80969805},"labels":[],"label_agreement":null},{"id":"W3039822369","doi":"10.1021/acs.analchem.0c02148","title":"rPTMDetermine: A Fully Automated Methodology for Endogenous Tyrosine Nitration Validation, Site-Localization, and Beyond","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; York University","funders":"University of Hong Kong","keywords":"Chemistry; Deamidation; Monoisotopic mass; Computational biology; In silico; Tandem mass spectrometry; Proteome; Combinatorial chemistry; Mass spectrometry; Chromatography; Biochemistry","score_opus":0.05923055613463104,"score_gpt":0.32008907543120363,"score_spread":0.2608585192965726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039822369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16626593,0.00015454947,0.8213164,0.0036579345,0.000010379942,0.00038648408,0.0002957413,0.0012205901,0.0066919685],"genre_scores_gemma":[0.90789646,0.000047302517,0.089062124,0.00091906625,0.00026345046,0.00022407611,0.0011441334,0.000045864817,0.00039749852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891406,0.000010485399,0.00035214113,0.0004119214,0.00010123882,0.00021017453],"domain_scores_gemma":[0.99912405,0.00018635333,0.00012237005,0.00021717779,0.00017368876,0.0001763807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095273455,0.0001731898,0.0002382841,0.000011522141,0.00013884726,0.00004283407,0.00012914636,0.00020008291,0.00028205023],"category_scores_gemma":[0.00045978214,0.00018340701,0.00006801499,0.00015270141,0.0000961841,0.00007110636,0.000054210326,0.00013122305,0.000005579757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055250417,0.000043393156,0.00058117736,0.00029285846,0.000033440352,0.0000029346095,0.00008968977,0.00017407376,0.9952905,0.00145772,0.0014961726,0.00048279227],"study_design_scores_gemma":[0.00037114086,0.00002239932,0.0000042619267,0.000007914932,0.00008879702,0.000025590534,0.000032265532,0.13333914,0.8573617,0.002973517,0.005571637,0.00020164243],"about_ca_topic_score_codex":0.000004777142,"about_ca_topic_score_gemma":4.041851e-7,"teacher_disagreement_score":0.74163055,"about_ca_system_score_codex":0.000033357857,"about_ca_system_score_gemma":0.000044053584,"threshold_uncertainty_score":0.7479121},"labels":[],"label_agreement":null},{"id":"W3042184853","doi":"10.1002/prca.202000034","title":"Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University; Jewish General Hospital; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Ministry of Science and Higher Education of the Russian Federation; Jewish General Hospital; Leading Edge Endowment Fund; Terry Fox Research Institute; Genome British Columbia; Skolkovo Institute of Science and Technology; Genome Canada; McGill University","keywords":"Tensin; PTEN; P110α; Quantitative proteomics; Biology; Chemistry; Molecular biology; Computational biology; Signal transduction; Biochemistry; PI3K/AKT/mTOR pathway; Proteomics","score_opus":0.0664044892868224,"score_gpt":0.33950848565493086,"score_spread":0.27310399636810845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042184853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011655022,0.0002495355,0.97845626,0.0026930587,0.000012647443,0.006670088,0.00019511566,0.00003663256,0.00003166475],"genre_scores_gemma":[0.56278294,0.00047559562,0.41898593,0.000099509045,0.00011874741,0.017459258,0.000019994242,0.000034182653,0.000023809098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981167,0.000037729606,0.0012138217,0.00035090526,0.00013719009,0.00014366214],"domain_scores_gemma":[0.9975926,0.00066912913,0.00094472297,0.00053926685,0.0001968585,0.000057417186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049325346,0.00014117129,0.00036425036,0.000020523219,0.00015014877,0.000021247428,0.0005121194,0.00014892095,0.000015069307],"category_scores_gemma":[0.00023910849,0.00009649994,0.0001506523,0.00035529773,0.00023399357,0.000057283916,0.00009522269,0.0002688928,5.744351e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013551279,0.00046051326,0.0017684585,0.0114194155,0.00012902367,3.6715672e-8,0.00031196154,0.39779806,0.56128347,0.024021301,0.00003693597,0.0026353102],"study_design_scores_gemma":[0.0006202158,0.00004017321,0.0000969161,0.00095607166,0.0002085928,4.8544365e-7,0.00016197268,0.37269968,0.61818373,0.006643332,0.0001657384,0.00022309709],"about_ca_topic_score_codex":0.000023615621,"about_ca_topic_score_gemma":0.000009731192,"teacher_disagreement_score":0.5594703,"about_ca_system_score_codex":0.000029971052,"about_ca_system_score_gemma":0.000089665475,"threshold_uncertainty_score":0.39351535},"labels":[],"label_agreement":null},{"id":"W3042210009","doi":"10.1002/pmic.202000061","title":"MMS2plot: An R Package for Visualizing Multiple MS/MS Spectra for Groups of Modified and Non‐Modified Peptides","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Peptide; Proteomics; Computer science; Mass spectrum; Chemistry; Chromatography; Computational biology; Graphics; Database search engine; Mass spectrometry; Combinatorial chemistry; Operating system; Search engine; Information retrieval; Biology; Biochemistry","score_opus":0.04265082389052083,"score_gpt":0.30608083433134525,"score_spread":0.2634300104408244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042210009","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43857646,0.000023390385,0.5591665,0.00018066219,0.000006578531,0.00140421,0.0003134691,0.00012600938,0.00020271311],"genre_scores_gemma":[0.6323876,0.000033903867,0.3657022,0.00007189392,0.0001556866,0.0014604223,0.000105996165,0.000057381443,0.000024942321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987098,0.0000066141097,0.00040590184,0.00048045642,0.00009394208,0.00030325964],"domain_scores_gemma":[0.99900395,0.0001261418,0.0002591935,0.00034685482,0.00010574395,0.00015809086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013021435,0.00022934814,0.00034427893,0.000030000703,0.00016799448,0.000043019805,0.00025172555,0.00016341169,0.000006705468],"category_scores_gemma":[0.00015935674,0.00024315677,0.00011881493,0.00008241901,0.000083245846,0.00016009274,0.00008211448,0.0001593993,6.840276e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031460027,0.000085455606,0.00023656452,0.00059511076,0.00002311848,2.734979e-7,0.0005194063,0.000112993126,0.9880379,0.009120173,0.000042855467,0.0009115385],"study_design_scores_gemma":[0.0012384127,0.00016505504,0.000028423241,0.000038428057,0.00002863477,0.0000015471334,0.00014269847,0.07002652,0.90758276,0.020095129,0.00037492803,0.00027745785],"about_ca_topic_score_codex":0.000028692892,"about_ca_topic_score_gemma":0.000010079979,"teacher_disagreement_score":0.1938111,"about_ca_system_score_codex":0.000037139802,"about_ca_system_score_gemma":0.000033818378,"threshold_uncertainty_score":0.9915645},"labels":[],"label_agreement":null},{"id":"W3043063323","doi":"10.12688/f1000research.24654.2","title":"Investigating a novel multiplex proteomics technology for detection of changes in serum protein concentrations that may correlate to tumor burden","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Multiplex; Pancreatic cancer; Protein microarray; Proteomics; Biology; Cancer; Omics; Medicine; Microarray; Physiology; Pathology; Bioinformatics; Internal medicine; Genetics; Gene","score_opus":0.07861144505426074,"score_gpt":0.35404281976479296,"score_spread":0.27543137471053225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043063323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7053551,0.0000662761,0.26909217,0.011921766,0.00003589847,0.01144586,0.0014504213,0.00043917456,0.0001933148],"genre_scores_gemma":[0.7649335,0.000017881144,0.21298994,0.000032617016,0.00011753439,0.021456128,0.00010538745,0.0000813075,0.00026569128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977884,0.000024940537,0.00050508237,0.00082013785,0.0003236415,0.0005377926],"domain_scores_gemma":[0.9983298,0.00011800983,0.0003643284,0.000696584,0.00032231607,0.00016891424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033277686,0.00030396983,0.0004525631,0.0003493514,0.00014618278,0.000054390417,0.00082044804,0.0005192706,0.00003094617],"category_scores_gemma":[0.00094868714,0.00034700191,0.000087536275,0.0005712411,0.00021927172,0.00004841523,0.0011817032,0.0015152177,0.0000056062204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005712478,0.000052629795,0.0009316301,0.0010171044,0.000021517451,0.0000014285521,0.00026877763,0.0010420126,0.99198043,0.0014575386,0.000014326415,0.0031554953],"study_design_scores_gemma":[0.00050611846,0.00008221646,0.00006724723,0.0007503744,0.000010336549,0.0000032546761,0.00035322708,0.031772997,0.95128775,0.01341603,0.0014536506,0.00029681824],"about_ca_topic_score_codex":0.00033522298,"about_ca_topic_score_gemma":0.00033536434,"teacher_disagreement_score":0.0595784,"about_ca_system_score_codex":0.0003198428,"about_ca_system_score_gemma":0.00034890708,"threshold_uncertainty_score":0.9998982},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W3043938925","doi":"10.1021/acs.jproteome.0c00338","title":"Addressing Cellular Heterogeneity in Cancer through Precision Proteomics","year":2020,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Ontario Ministry of Health and Long-Term Care","keywords":"Proteomics; Computer science; Computational biology; Tumor heterogeneity; Data science; Biology; Cancer","score_opus":0.3140786060516237,"score_gpt":0.48229354983429334,"score_spread":0.16821494378266966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043938925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413598,0.0011423026,0.051772576,0.0039470694,0.000018776349,0.00080664566,0.000019092493,0.000030517673,0.00090321805],"genre_scores_gemma":[0.8461642,0.00084241776,0.15191351,0.00006344001,0.00054709194,0.00034339333,0.0000023629489,0.0000456522,0.000077887926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977353,0.00010296491,0.0006654593,0.0002817352,0.0007871559,0.00042734528],"domain_scores_gemma":[0.99862397,0.00009611013,0.00033918035,0.00026988515,0.00047939387,0.00019145593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010370238,0.0001442179,0.00031644505,0.00011442952,0.0001511501,0.00007938145,0.0006387807,0.00017245163,0.00025048354],"category_scores_gemma":[0.00038256962,0.00012522904,0.00011849774,0.00056742504,0.00011500196,0.0003353938,0.00024006728,0.0016723293,0.0000099621875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022119653,0.00010265438,0.0012880749,0.00021830254,0.000014112541,0.000040895415,0.00032208257,0.00027129325,0.99442446,0.00010932224,0.00021027189,0.0027773313],"study_design_scores_gemma":[0.0005218121,0.000117729476,0.000045341974,0.0004194305,0.000004638574,0.00001354999,0.00009819026,0.0009099711,0.98588264,0.005975311,0.005881446,0.00012991106],"about_ca_topic_score_codex":0.000049985083,"about_ca_topic_score_gemma":0.000005961349,"teacher_disagreement_score":0.10014093,"about_ca_system_score_codex":0.0003011713,"about_ca_system_score_gemma":0.0002977164,"threshold_uncertainty_score":0.72655314},"labels":[],"label_agreement":null},{"id":"W3044615094","doi":"10.1016/j.cels.2020.06.013","title":"Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics","year":2020,"lang":"en","type":"article","venue":"Cell Systems","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; Leidos","keywords":"Predictability; Phosphoprotein; Genomics; Transcriptome; Biology; Computational biology; Genetics; Gene; Genome; Gene expression; Statistics; Mathematics","score_opus":0.027305854389148326,"score_gpt":0.27019048566783144,"score_spread":0.24288463127868312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044615094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98995286,0.00087603147,0.0068434807,0.00013957184,0.000011624182,0.0007771064,0.00091231446,0.000024849467,0.00046217607],"genre_scores_gemma":[0.99562365,0.00006162781,0.0039639114,0.000013362463,0.00002251133,0.00025603973,0.000006672939,0.000013743832,0.000038458205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993109,0.000047868423,0.0003188489,0.00015129939,0.000090231,0.000080834645],"domain_scores_gemma":[0.99925053,0.000034059172,0.00024274511,0.000371668,0.00004714061,0.000053863492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012518684,0.000101510486,0.00023183176,0.000004291969,0.0000862487,0.0000109621615,0.00022012707,0.00008628797,0.000017019573],"category_scores_gemma":[0.00000958236,0.00008224339,0.000036148627,0.00005055965,0.00014442044,0.000028449362,0.00010577845,0.00026725492,4.5855465e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011399684,0.000039075658,0.011426537,0.00082220166,0.000015244901,3.87107e-8,0.00067154114,0.000053364573,0.9863876,0.0002356911,0.000006492495,0.00033080508],"study_design_scores_gemma":[0.00030844472,0.00001785229,0.0024999145,0.00011654238,0.000025804287,2.3795599e-7,0.0005269367,0.0036525899,0.99138576,0.000523528,0.00085549,0.00008691097],"about_ca_topic_score_codex":0.0033022559,"about_ca_topic_score_gemma":0.000038827664,"teacher_disagreement_score":0.0089266235,"about_ca_system_score_codex":0.000050453455,"about_ca_system_score_gemma":0.00006115974,"threshold_uncertainty_score":0.49920452},"labels":[],"label_agreement":null},{"id":"W3048389859","doi":"10.1021/acs.analchem.0c02157","title":"Using Two Peptide Isotopologues as Internal Standards for the Streamlined Quantification of Low-Abundance Proteins by Immuno-MRM and Immuno-MALDI","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria; McGill University; Jewish General Hospital","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Leading Edge Endowment Fund; Terry Fox Research Institute; Genome British Columbia; Ministry of Science and Higher Education of the Russian Federation; Genome Canada","keywords":"Chemistry; Selected reaction monitoring; Mass spectrometry; Isotopologue; Quantitative proteomics; Sample preparation; Chromatography; Matrix-assisted laser desorption/ionization; Proteomics; Tandem mass spectrometry; Desorption; Biochemistry","score_opus":0.025539568468375864,"score_gpt":0.33849569480446673,"score_spread":0.3129561263360909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048389859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65160614,0.00095581426,0.341676,0.0023531942,0.0000096613285,0.00050392153,0.00092810945,0.00012225534,0.0018449025],"genre_scores_gemma":[0.9896747,0.00014470275,0.009162477,0.0000867885,0.00011591993,0.00012838426,0.00012754442,0.000024451816,0.0005350638],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879473,0.0000059641366,0.00042152655,0.00036107792,0.00020100172,0.00021571256],"domain_scores_gemma":[0.9989201,0.000150285,0.00023810824,0.00039322476,0.00020702256,0.00009127863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013945637,0.00018732366,0.00025383334,0.000006855961,0.00015489536,0.0000473759,0.00034947813,0.00011429123,0.00017333469],"category_scores_gemma":[0.0003047734,0.00015739714,0.00011739248,0.00010351429,0.00034052302,0.00006804444,0.000114042035,0.00027204765,7.304626e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001818757,0.000056059933,0.00022001621,0.00031231833,0.00007195768,5.6782073e-7,0.00004732915,0.00005243483,0.9969124,0.0010245467,0.00031837242,0.0008021278],"study_design_scores_gemma":[0.0004266895,0.000026148722,0.0000035683067,0.000095763535,0.00006936622,0.0000064661376,0.00020603953,0.031984933,0.95966166,0.0012474558,0.0061001475,0.00017178555],"about_ca_topic_score_codex":0.00009967064,"about_ca_topic_score_gemma":0.0000011176936,"teacher_disagreement_score":0.33806852,"about_ca_system_score_codex":0.0000771582,"about_ca_system_score_gemma":0.00010068364,"threshold_uncertainty_score":0.6418469},"labels":[],"label_agreement":null},{"id":"W3048924598","doi":"10.1038/s41597-020-00594-z","title":"A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"Biomedical Research Council; Agency for Science, Technology and Research","keywords":"Chinese hamster ovary cell; Computer science; Profiling (computer programming); Proteome; Computational biology; Data acquisition; Downstream (manufacturing); Biological system; Chemistry; Biology; Cell culture; Bioinformatics; Engineering","score_opus":0.1247426534309085,"score_gpt":0.32926990674785844,"score_spread":0.20452725331694993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048924598","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054512773,0.0005096038,0.80770564,0.0037742653,0.00018389642,0.0052368324,0.11746581,0.0009770072,0.009634174],"genre_scores_gemma":[0.015965454,0.000011171886,0.9685361,0.00006313896,0.0001125433,0.00037747383,0.013121412,0.00004144334,0.0017712654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857163,0.000008394968,0.00029385558,0.00072963693,0.00016279667,0.00023368464],"domain_scores_gemma":[0.99844784,0.00006614495,0.00019059725,0.0010981644,0.000096501055,0.0001007679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099174205,0.00013072224,0.00019095078,0.000033061828,0.00018747988,0.00011238488,0.001172842,0.000057152378,0.00052162283],"category_scores_gemma":[0.00010667997,0.00012651942,0.000054135,0.0003258686,0.0002576235,0.00047062023,0.00058964686,0.00014417325,0.000021758993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013132418,0.00012277153,0.0000610683,0.0006097682,0.00003338461,0.000001664392,0.00030184977,0.00023027485,0.9332174,0.013308337,0.050413087,0.0015690585],"study_design_scores_gemma":[0.00023316378,0.000032079606,0.0000041978155,0.00004832234,0.000015255964,8.3832805e-7,0.00025315036,0.030640211,0.8099607,0.002650703,0.15600921,0.00015214086],"about_ca_topic_score_codex":0.0000050684503,"about_ca_topic_score_gemma":0.0000012607891,"teacher_disagreement_score":0.16083045,"about_ca_system_score_codex":0.00001108229,"about_ca_system_score_gemma":0.00010272943,"threshold_uncertainty_score":0.5711404},"labels":[],"label_agreement":null},{"id":"W3075834918","doi":"10.1002/jssc.202000578","title":"Peptide separation selectivity in proteomics LC‐MS experiments: Comparison of formic and mixed formic/heptafluorobutyric acids ion‐pairing modifiers","year":2020,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formic acid; Selectivity; Chromatography; Chemistry; Peptide; Pairing; Organic chemistry; Biochemistry; Physics","score_opus":0.047035316367819484,"score_gpt":0.3783764386980246,"score_spread":0.33134112233020513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3075834918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8375674,0.00007286707,0.16147843,0.00018975421,0.000020510692,0.00020861404,0.000003499577,0.000016840799,0.00044209103],"genre_scores_gemma":[0.9556133,0.00004358911,0.04420688,0.0000334171,0.00004784213,0.00002874572,0.0000022239763,0.000008035422,0.000015925698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984713,0.000015630636,0.0007083502,0.00023170353,0.00038129167,0.00019171774],"domain_scores_gemma":[0.9986651,0.000037495684,0.00077130005,0.00013753067,0.00026263174,0.00012596152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046651656,0.0001272896,0.00028232683,0.00014222832,0.00015924427,0.00006121652,0.00028045327,0.00007164795,0.000010654348],"category_scores_gemma":[0.00013520572,0.00012257161,0.000053200383,0.0005858169,0.00017435352,0.0012349829,0.00006757142,0.0002712866,0.0000010071226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007640147,0.00006566987,0.00583714,0.000028109445,0.000004373844,4.3225336e-7,0.0017535374,0.004588876,0.98633295,0.00032320683,0.00004775941,0.00094154093],"study_design_scores_gemma":[0.00039981597,0.00012937759,0.00083297933,0.00004545387,0.0000074717823,0.0000134032125,0.0005365296,0.05609565,0.94085073,0.0008244614,0.00014814798,0.000115979565],"about_ca_topic_score_codex":0.00001081693,"about_ca_topic_score_gemma":0.0000074955187,"teacher_disagreement_score":0.118045956,"about_ca_system_score_codex":0.00020711542,"about_ca_system_score_gemma":0.0001934881,"threshold_uncertainty_score":0.4998325},"labels":[],"label_agreement":null},{"id":"W3080935191","doi":"","title":"Protein Proximity Mapping: Getting to Know Your Neighbors","year":2020,"lang":"en","type":"article","venue":"PubMed Central","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Computer science; Data science; Data mining; Information retrieval","score_opus":0.02497796731309462,"score_gpt":0.2462412326390683,"score_spread":0.22126326532597368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080935191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8678758,0.00007507392,0.095237374,0.018141607,0.000043888653,0.0019579942,0.00007002405,0.0009989518,0.015599251],"genre_scores_gemma":[0.9227127,0.000005349477,0.07245254,0.00088005175,0.0007075886,0.0023614275,0.000020800619,0.000040934905,0.00081859966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982781,0.0000070786455,0.00022597829,0.00037896377,0.00014364795,0.00096626783],"domain_scores_gemma":[0.99898016,0.000008724162,0.00008623556,0.00024399336,0.000027692797,0.0006531994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008203804,0.00015775891,0.00014622627,0.000017104026,0.00010520333,0.000044333665,0.0003014636,0.0000828193,0.0001495622],"category_scores_gemma":[0.0001839096,0.000164369,0.00006656544,0.00019931537,0.000023421424,0.000075225274,0.00012738396,0.00026859005,0.000025635065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011381387,0.00023443009,0.020465082,0.00045089587,0.000057357192,0.000020343252,0.00219768,0.00035154528,0.81757116,0.016885104,0.005375523,0.13627703],"study_design_scores_gemma":[0.00027816172,0.00001138337,0.0016053736,0.000034633787,0.000008936562,0.0000028498703,0.0001453852,0.00088949146,0.7446078,0.0016927465,0.25033584,0.00038737553],"about_ca_topic_score_codex":0.000008076528,"about_ca_topic_score_gemma":0.0000011846004,"teacher_disagreement_score":0.24496031,"about_ca_system_score_codex":0.0001501434,"about_ca_system_score_gemma":0.00004879206,"threshold_uncertainty_score":0.67027736},"labels":[],"label_agreement":null},{"id":"W3082104531","doi":"10.1021/acs.analchem.0c02793","title":"Simple Targeted Assays for Metabolic Pathways and Signaling: A Powerful Tool for Targeted Proteomics","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"VILLUM Center for Bioanalytical Sciences; Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Lundbeckfonden; Villum Fonden; Bundesministerium für Bildung und Forschung; Natur og Univers, Det Frie Forskningsråd","keywords":"Proteomics; Chemistry; Computational biology; Signal transduction; Metabolic pathway; Biochemistry; Biology; Enzyme; Gene","score_opus":0.023451942864122485,"score_gpt":0.2748625560648874,"score_spread":0.2514106132007649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082104531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5079688,0.00041523104,0.48383698,0.0019844354,0.000009554088,0.0014447944,0.0018532695,0.00057195366,0.0019150294],"genre_scores_gemma":[0.8833085,0.000032824348,0.11384311,0.0005642389,0.00041431413,0.00067477167,0.0007222227,0.00008380503,0.00035623557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983547,0.0000041853364,0.00043937232,0.0006244303,0.00014141385,0.00043592858],"domain_scores_gemma":[0.9988747,0.00019035206,0.00015385628,0.00032389018,0.0001712751,0.00028590614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011814142,0.00029002153,0.00042220153,0.000011782901,0.0001499024,0.00006311773,0.0002714231,0.0002775927,0.00026099035],"category_scores_gemma":[0.00062480115,0.0002962627,0.00022461968,0.00014733842,0.00009700576,0.00007414803,0.000099429395,0.0002665112,0.0000034691068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012857886,0.000057855956,0.00015319469,0.00039785512,0.00007472358,0.0000012975413,0.000038856884,0.00003232878,0.994275,0.0031235758,0.0014070902,0.00030964022],"study_design_scores_gemma":[0.0007283367,0.000029126139,0.0000033778254,0.000011749896,0.00012063471,0.000002890325,0.00006018488,0.031040078,0.91819793,0.013413783,0.03602468,0.00036720245],"about_ca_topic_score_codex":0.0000020824127,"about_ca_topic_score_gemma":1.1666434e-7,"teacher_disagreement_score":0.37533972,"about_ca_system_score_codex":0.000035321533,"about_ca_system_score_gemma":0.00008361165,"threshold_uncertainty_score":0.999949},"labels":[],"label_agreement":null},{"id":"W3083461696","doi":"10.1158/1538-7445.am2020-4163","title":"Abstract 4163: Clinical proteomics for patient stratification - a GCLP quantitative mass spectrometry workflow for multiplexed measurement of protein biomarkers in FFPE tissues","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Biomarker; Biomarker discovery; Quantitative proteomics; Proteomics; Selected reaction monitoring; Multiplex; Repeatability; Computational biology; Mass spectrometry; Chemistry; Biology; Chromatography; Bioinformatics; Tandem mass spectrometry; Biochemistry","score_opus":0.2425054858616976,"score_gpt":0.4720913003550647,"score_spread":0.2295858144933671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083461696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82171524,0.000979085,0.15912826,0.004114887,0.000031439933,0.012747245,0.000828721,0.000106545354,0.0003485644],"genre_scores_gemma":[0.64603233,0.000091889655,0.34275118,0.000010081843,0.00007011155,0.010954765,0.000043786833,0.000032079508,0.000013793883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99780667,0.000049839593,0.0007321945,0.0005484058,0.0004728956,0.00039001493],"domain_scores_gemma":[0.9982497,0.00028685096,0.0002748429,0.00032592085,0.0007312007,0.0001314738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012025074,0.00015205996,0.00030349163,0.000099109275,0.00010209528,0.000032751504,0.00032746774,0.00015903384,0.00005397546],"category_scores_gemma":[0.0010753389,0.00015341923,0.000121973666,0.00042374505,0.00017309806,0.00008455687,0.0000474276,0.0003874838,0.0000020643404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014660604,0.00018776536,0.0003526345,0.00066563446,0.0000673029,4.9962085e-7,0.00020665502,0.000060997034,0.98384446,0.0015195896,0.00023762473,0.011390805],"study_design_scores_gemma":[0.0009949597,0.00035880238,0.00011894433,0.00028213143,0.0000076190518,6.149937e-8,0.0004573469,0.0018915767,0.9868855,0.007192241,0.0016425686,0.00016823589],"about_ca_topic_score_codex":0.00009398194,"about_ca_topic_score_gemma":0.000061139384,"teacher_disagreement_score":0.18362293,"about_ca_system_score_codex":0.00035967794,"about_ca_system_score_gemma":0.0003449382,"threshold_uncertainty_score":0.62562543},"labels":[],"label_agreement":null},{"id":"W3083471085","doi":"10.1158/1538-7445.am2020-5144","title":"Abstract 5144: Exploring the potential of a novel multiplex proteomics technology to identify personalized biomarkers of tumor burden in ovarian cancer patients","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Multiplex; Personalized medicine; Medicine; Ovarian cancer; Oncology; Proteomics; Cancer; Serous carcinoma; Precision medicine; Bioinformatics; Serous fluid; Internal medicine; Multiplex polymerase chain reaction; Computational biology; Biology; Pathology; Polymerase chain reaction; Gene; Genetics","score_opus":0.09880996523975247,"score_gpt":0.4118981859577296,"score_spread":0.31308822071797715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083471085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99370074,0.00010577418,0.0015695125,0.0031434812,0.000020171212,0.0010527822,0.0002830608,0.00003247831,0.000091989874],"genre_scores_gemma":[0.98906004,0.00013694486,0.006497879,0.000025896437,0.000082805316,0.0041273786,0.000008673436,0.00003396822,0.000026409994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998427,0.000015977563,0.00039965456,0.000376591,0.00041188582,0.00036893235],"domain_scores_gemma":[0.9989972,0.00005465845,0.00015204232,0.00033622255,0.00036271193,0.000097176344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024078536,0.00012845264,0.00023430963,0.00017119343,0.00009382283,0.000016618565,0.00069929165,0.0000840649,0.00020778507],"category_scores_gemma":[0.00022010205,0.00011279297,0.00006579791,0.0009194824,0.00027053937,0.00007895262,0.00032261896,0.0005071243,0.0000023347366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003387927,0.00008364517,0.0030493224,0.00022250567,0.000036345395,0.0000018027508,0.00054821756,0.00045918796,0.99256134,0.00018815485,0.000057544024,0.0024531218],"study_design_scores_gemma":[0.0012098878,0.00003432934,0.003386205,0.00025600867,0.000007406279,3.9350354e-7,0.0009715896,0.0005332314,0.99248254,0.00023897352,0.0007444967,0.0001349293],"about_ca_topic_score_codex":0.0027084013,"about_ca_topic_score_gemma":0.000087555134,"teacher_disagreement_score":0.0049283663,"about_ca_system_score_codex":0.00021297061,"about_ca_system_score_gemma":0.00021050127,"threshold_uncertainty_score":0.4599564},"labels":[],"label_agreement":null},{"id":"W3083557162","doi":"10.1158/1538-7445.am2020-1782","title":"Abstract 1782: N-myristoyltransferase proteins in breast cancer: Prognostic relevance and validation as a new drug target","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Breast cancer; Immunohistochemistry; Cancer; Biology; Antibody; Cancer research; Apoptosis; Monoclonal antibody; Hazard ratio; Internal medicine; Oncology; Medicine; Immunology; Biochemistry","score_opus":0.03915082027005959,"score_gpt":0.3696220976885585,"score_spread":0.3304712774184989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083557162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561703,0.0017836445,0.0015507187,0.037445314,0.000012617207,0.0012946661,0.00032145166,0.00017188117,0.0012494023],"genre_scores_gemma":[0.98876625,0.0036484667,0.0038841122,0.00020016482,0.00028123477,0.0026403978,0.000032886004,0.00005042831,0.00049606775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983536,0.000024789388,0.00026279516,0.00055111555,0.00037549954,0.00043220163],"domain_scores_gemma":[0.99906963,0.00011285946,0.00005132651,0.00025356817,0.00014104143,0.00037159852],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019574292,0.0001609575,0.00018546032,0.000061743645,0.00015424217,0.00006962076,0.00028964164,0.00009482768,0.0009898443],"category_scores_gemma":[0.00015565217,0.00016757859,0.000032554526,0.0004627896,0.0001269323,0.00018317506,0.000074027346,0.0008031424,0.000020662386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003528508,0.000096715776,0.012079008,0.00069585926,0.000017674518,0.000026375797,0.001037739,0.0004122794,0.95430434,0.0008503032,0.0037221038,0.026404733],"study_design_scores_gemma":[0.0008720325,0.00003138922,0.0014731153,0.0005179673,0.000008331738,0.00000776022,0.00016364384,0.0002968272,0.9658053,0.009589409,0.020875024,0.00035922407],"about_ca_topic_score_codex":0.003858348,"about_ca_topic_score_gemma":0.000149861,"teacher_disagreement_score":0.03724515,"about_ca_system_score_codex":0.00025073718,"about_ca_system_score_gemma":0.0006759988,"threshold_uncertainty_score":0.9999234},"labels":[],"label_agreement":null},{"id":"W3084437935","doi":"10.22215/etd/2018-12872","title":"Targeted Quantitative Lipidomics of Cold Stress and the Development of Methods to Increase the Sensitivity of Proteomics Analyses Using Mass Spectrometry","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Lipidomics; Proteomics; Lipid bilayer; Chemistry; Biophysics; Mass spectrometry; Biology; Phosphatidylethanolamine; Biochemistry; Hibernation (computing); Chromatography; Phospholipid; Membrane; Phosphatidylcholine","score_opus":0.05025225719666442,"score_gpt":0.4155785773899146,"score_spread":0.3653263201932502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084437935","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54568523,0.00007220447,0.45276186,0.000009884071,0.000011051219,0.00058952894,0.0001391996,0.000011941793,0.0007190811],"genre_scores_gemma":[0.1579509,0.00003950516,0.84157604,0.0000062195613,0.000020292291,0.00009695595,0.00009890803,0.000025912324,0.00018524987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849236,0.00015261666,0.00075150444,0.00028135287,0.00017826703,0.00014391243],"domain_scores_gemma":[0.9970998,0.0007607993,0.001123132,0.0004623532,0.0005104349,0.00004345301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088607,0.00024144672,0.0006402392,0.00011572297,0.0001240372,0.0000122335105,0.00023604295,0.0001842728,0.000023321778],"category_scores_gemma":[0.00046002291,0.00015415328,0.0001169272,0.00038242285,0.00025417443,0.00003580306,0.000092944,0.00022673335,1.4685345e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004664926,0.000050269427,0.000054783908,0.00044009445,0.00022777062,7.672618e-8,0.0011246916,0.000075651566,0.9922306,0.0050324826,0.000004594784,0.00029250723],"study_design_scores_gemma":[0.0002535288,0.000017545322,0.00006223675,0.00022546241,0.00017863624,5.412661e-7,0.0037092003,0.0027642066,0.99125785,0.0013434585,0.00002465915,0.00016266853],"about_ca_topic_score_codex":0.0004747419,"about_ca_topic_score_gemma":0.00026141776,"teacher_disagreement_score":0.38881418,"about_ca_system_score_codex":0.00006137929,"about_ca_system_score_gemma":0.00023257706,"threshold_uncertainty_score":0.62861884},"labels":[],"label_agreement":null},{"id":"W3087085648","doi":"10.1021/acs.jproteome.0c00485","title":"Research on the Human Proteome Reaches a Major Milestone: &gt;90% of Predicted Human Proteins Now Credibly Detected, According to the HUPO Human Proteome Project","year":2020,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Division of Biological Infrastructure; National Heart, Lung, and Blood Institute; Knut och Alice Wallenbergs Stiftelse; National Institute on Aging; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Health and Medical Research Council; National Institute of General Medical Sciences; Swiss Institute of Bioinformatics","keywords":"Human proteome project; Milestone; Proteome; Human proteins; Computational biology; Biology; Proteomics; Bioinformatics; Geography; Genetics; Archaeology; Gene","score_opus":0.2081511323511751,"score_gpt":0.451343980964928,"score_spread":0.2431928486137529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087085648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96018296,0.00011315196,0.0017041375,0.019004012,0.000020440275,0.016056117,0.00015749283,0.00018589379,0.0025757982],"genre_scores_gemma":[0.9712653,0.000032064323,0.014029685,0.00006999325,0.0016159603,0.011437184,0.000020837842,0.00021218331,0.0013167567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9893926,0.0012683304,0.0020523148,0.001049175,0.0045164065,0.0017212215],"domain_scores_gemma":[0.99216276,0.0005865263,0.0011888552,0.0019651486,0.003478739,0.0006179491],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010603207,0.0006104347,0.0009445887,0.0012051043,0.0031043217,0.00045194087,0.0046615964,0.0004929122,0.00029628086],"category_scores_gemma":[0.002516597,0.00039102897,0.00045470483,0.0040896744,0.0011549627,0.00039440428,0.0014885481,0.007364866,0.00004937018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057386915,0.0004887592,0.0002957337,0.00072549854,0.00015750565,0.000049677357,0.0013162792,0.000032016742,0.9901839,0.0022035646,0.0035786063,0.0003946051],"study_design_scores_gemma":[0.0012734551,0.0037422462,0.00064716046,0.0016112969,0.00004182689,0.000073857336,0.0025172245,0.00009496122,0.97353303,0.007907104,0.008080052,0.00047776464],"about_ca_topic_score_codex":0.0002754583,"about_ca_topic_score_gemma":0.000056994137,"teacher_disagreement_score":0.018934019,"about_ca_system_score_codex":0.00070569635,"about_ca_system_score_gemma":0.0009267423,"threshold_uncertainty_score":0.99985415},"labels":[],"label_agreement":null},{"id":"W3091223431","doi":"10.1016/j.jprot.2020.104000","title":"Adding polyvinylpyrrolidone to low level protein samples significantly improves peptide recovery in FASP digests: An inexpensive and simple modification to the FASP protocol","year":2020,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Polyvinylpyrrolidone; Sample preparation; Chromatography; Sample (material); Peptide; Chemistry; Biochemistry","score_opus":0.05133602028668203,"score_gpt":0.3149960270652666,"score_spread":0.26366000677858453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091223431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79226285,0.000009041394,0.16866054,0.006437284,0.000009981373,0.032327294,0.00015505063,0.000050745184,0.00008720203],"genre_scores_gemma":[0.6004866,0.000010813358,0.35710633,0.000974149,0.00048070194,0.0407925,0.0000152049215,0.000073514755,0.000060226157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998111,0.000045822188,0.0008530011,0.00039324292,0.00027049665,0.0003263984],"domain_scores_gemma":[0.99827266,0.00007048227,0.00065330934,0.00038634532,0.0002786386,0.0003385633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363721,0.00026414447,0.00037529296,0.00011886233,0.00015961989,0.00015074726,0.00055424805,0.00013239092,0.000017410899],"category_scores_gemma":[0.00059906545,0.00021228586,0.00008231312,0.00031955898,0.00004665977,0.0004121247,0.00017041567,0.0005694154,0.0000045715256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062095514,0.00008764043,0.00013760602,0.00009979784,0.000014622553,0.0000050392423,0.0009861168,0.0011448669,0.9887295,0.00038892115,0.000166192,0.0076187565],"study_design_scores_gemma":[0.0008134906,0.00060885504,0.00041376066,0.0002460504,0.000013822276,0.000025932453,0.0013701386,0.0010956933,0.9860956,0.004537096,0.00440783,0.0003716955],"about_ca_topic_score_codex":0.000078114645,"about_ca_topic_score_gemma":0.000050614577,"teacher_disagreement_score":0.1917763,"about_ca_system_score_codex":0.00019176283,"about_ca_system_score_gemma":0.00018061342,"threshold_uncertainty_score":0.86567664},"labels":[],"label_agreement":null},{"id":"W3092084111","doi":"10.1139/cjm-2020-0324","title":"Proteomics of host–bacterial interactions: new insights from dual perspectives","year":2020,"lang":"en","type":"review","venue":"Canadian Journal of Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Proteomics; Biology; Computational biology; Effector; Immune system; Systems biology; Posttranslational modification; Host (biology); Quantitative proteomics; Protein–protein interaction; Host–pathogen interaction; Pathogen; Bioinformatics; Cell biology; Virulence; Immunology; Gene; Genetics","score_opus":0.02404163343410474,"score_gpt":0.28869150998708515,"score_spread":0.2646498765529804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092084111","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066651974,0.9961303,0.00092393224,0.00016473499,0.00024313222,0.00027214634,0.0013151282,0.000010986663,0.00027312257],"genre_scores_gemma":[0.00023445702,0.9767463,0.021088725,0.000022320035,0.0013879233,0.000020680536,0.00028008458,0.000055812718,0.0001636779],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985542,0.00004936301,0.0008999109,0.00026705995,0.000026853866,0.00020256],"domain_scores_gemma":[0.9977052,0.00010284919,0.0013796369,0.0002671972,0.00016604546,0.00037903368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000032855158,0.0002967163,0.0013207874,0.00020559282,0.000063798485,0.000023731609,0.0004963347,0.0004045124,0.0008830597],"category_scores_gemma":[0.000117618096,0.00026326627,0.0004464159,0.00012921137,0.00016765733,0.000068145346,0.000042239823,0.0009153458,0.000015355587],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011940015,0.000101806974,0.0000061099054,0.0026820928,0.002143532,0.00034296906,0.0029148222,0.0000017598223,0.5892892,0.003086276,0.015227963,0.38408408],"study_design_scores_gemma":[0.00016744643,0.000045750552,1.3073543e-7,0.0022290589,0.00024227201,0.00057096634,0.00013369929,1.4134308e-7,0.00783945,0.000538878,0.9880188,0.00021341484],"about_ca_topic_score_codex":0.0014362629,"about_ca_topic_score_gemma":0.0024912523,"teacher_disagreement_score":0.97279084,"about_ca_system_score_codex":0.00045906368,"about_ca_system_score_gemma":0.004167665,"threshold_uncertainty_score":0.99998194},"labels":[],"label_agreement":null},{"id":"W3092794487","doi":"10.1038/s41467-020-19045-9","title":"A high-stringency blueprint of the human proteome","year":2020,"lang":"en","type":"review","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Institute of Environmental Health Sciences; Division of Biological Infrastructure; National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; Instituto de Salud Carlos III; Cancer Council NSW; National Health and Medical Research Council; Knut och Alice Wallenbergs Stiftelse; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Science Foundation; Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cancer Institute NSW; Comunidad de Madrid; Wellcome Trust; Agence Nationale de la Recherche; National Institutes of Health","keywords":"Human proteome project; Proteome; Blueprint; Computational biology; Human genome; Biology; Data science; Genome; Bioinformatics; Computer science; Proteomics; Genetics; Gene; Engineering","score_opus":0.0451287346537493,"score_gpt":0.3744585716553574,"score_spread":0.3293298370016081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092794487","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000049694486,0.9926689,0.00015532029,0.0006406407,0.00002255301,0.0010710818,0.00035556438,0.00015886105,0.0049220645],"genre_scores_gemma":[0.0011652964,0.96524835,0.031098478,0.000024547404,0.000074424126,0.0018489249,0.00025478858,0.000059467355,0.00022573529],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986527,0.0000623187,0.00065999344,0.00030623487,0.0001695326,0.00014922512],"domain_scores_gemma":[0.9937328,0.00013303202,0.0008379686,0.00512818,0.00011176382,0.000056246263],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00008715421,0.00029192376,0.00076432765,0.0000451494,0.00035962762,0.000018720953,0.0047339182,0.00074091763,0.00006953977],"category_scores_gemma":[0.00011562076,0.00021340568,0.00050231244,0.0005092745,0.00021394002,0.000029850135,0.0018906473,0.00335359,0.000013641821],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011467357,0.00028876448,0.000019823025,0.008207951,0.00025193667,5.6915025e-7,0.00007236349,0.0000010202538,0.001843326,0.47563785,0.0009173921,0.51275784],"study_design_scores_gemma":[0.000040830713,0.0000031068787,0.000001878181,0.002553971,0.0002344744,0.0000053033846,0.0000040782893,0.0000016079136,0.0014147186,0.0031700353,0.9923767,0.0001933211],"about_ca_topic_score_codex":0.000015434125,"about_ca_topic_score_gemma":0.00001799613,"teacher_disagreement_score":0.9914593,"about_ca_system_score_codex":0.0001359279,"about_ca_system_score_gemma":0.0001872771,"threshold_uncertainty_score":0.9989457},"labels":[],"label_agreement":null},{"id":"W3092949015","doi":"10.1021/acs.jproteome.0c00794","title":"The HUPO High-Stringency Inventory of Humanity’s Shared Human Proteome Revealed","year":2020,"lang":"en","type":"editorial","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Citation; Library science; Proteome; Crowdsourcing; Humanity; World Wide Web; Computer science; Bioinformatics; Biology; Political science","score_opus":0.06617127095826164,"score_gpt":0.4023067664842828,"score_spread":0.3361354955260212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092949015","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15279958,0.04183705,0.009655419,0.02650962,0.6133731,0.0632543,0.01048242,0.002019009,0.08006953],"genre_scores_gemma":[0.018924722,0.0036360903,0.018778825,0.00001006536,0.9420409,0.0029038058,0.00028795886,0.00045399714,0.012963587],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926262,0.0003183975,0.002065184,0.00055394624,0.003615786,0.000820491],"domain_scores_gemma":[0.99134845,0.00080013735,0.0025340398,0.0011874818,0.0037591306,0.00037076577],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004242114,0.00044695265,0.0010103517,0.00040306442,0.0009468015,0.00022838534,0.0033552707,0.0010088275,0.0003868754],"category_scores_gemma":[0.0037749296,0.00034369595,0.0004828578,0.00066631084,0.00059279567,0.00023700125,0.00085638766,0.008014036,0.000022798431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032456973,0.00019825052,0.000025805437,0.001960476,0.00019741648,0.000052593932,0.00013863889,0.00000206743,0.3476441,0.001122192,0.6479276,0.000406332],"study_design_scores_gemma":[0.0010447555,0.0007330131,0.000014143296,0.0014341364,0.00007252198,0.00001123154,0.000115640476,0.0000062191793,0.13983078,0.02932634,0.8269823,0.00042888054],"about_ca_topic_score_codex":0.00010941146,"about_ca_topic_score_gemma":0.00001687626,"teacher_disagreement_score":0.32866788,"about_ca_system_score_codex":0.0007872293,"about_ca_system_score_gemma":0.0016440657,"threshold_uncertainty_score":0.99990153},"labels":[],"label_agreement":null},{"id":"W3093407181","doi":"10.1038/s41467-020-18904-9","title":"Standardization and harmonization of distributed multi-center proteotype analysis supporting precision medicine studies","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; VILLUM Center for Bioanalytical Sciences; National Health and Medical Research Council; Cancer Center Amsterdam; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Uniformed Services University of the Health Sciences; Villum Fonden; Canadian Institutes of Health Research; U.S. Department of Defense; Academia Sinica; Henry M. Jackson Foundation","keywords":"Standardization; Harmonization; Center (category theory); Precision medicine; Computer science; Medicine; Pathology; Chemistry","score_opus":0.048078153071701796,"score_gpt":0.3884498942818975,"score_spread":0.34037174121019576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093407181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018254334,0.005855649,0.9615247,0.012737012,0.000011092154,0.00052956666,0.000548277,0.0002083782,0.0003309413],"genre_scores_gemma":[0.8912742,0.00217705,0.10512951,0.000095057076,0.000018673012,0.00007853494,0.0012022106,0.000011434196,0.000013343099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991443,0.000030718067,0.0004002383,0.00019915924,0.00013795141,0.00008764298],"domain_scores_gemma":[0.99829483,0.00012834552,0.0003590359,0.0006703219,0.00049160793,0.000055883596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014233767,0.00010594517,0.0002510337,0.000058986454,0.0001890031,0.000009971199,0.00034960872,0.00013749936,0.000025553916],"category_scores_gemma":[0.00085940683,0.00009337615,0.000046556026,0.0007625951,0.00016638082,0.00008899575,0.00027636994,0.00035347018,4.3697423e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033781512,0.0014879501,0.25635028,0.0012154398,0.00390651,0.000002139249,0.012385471,0.0037629206,0.6310668,0.04888448,0.006423663,0.034176525],"study_design_scores_gemma":[0.007411235,0.00030735604,0.011561478,0.00091271504,0.004162952,0.000009650263,0.0062492704,0.29744595,0.49810365,0.006822626,0.1653812,0.0016319249],"about_ca_topic_score_codex":0.000003890725,"about_ca_topic_score_gemma":0.000020843976,"teacher_disagreement_score":0.8730199,"about_ca_system_score_codex":0.000037468602,"about_ca_system_score_gemma":0.000016815115,"threshold_uncertainty_score":0.38077688},"labels":[],"label_agreement":null},{"id":"W3093703323","doi":"10.1021/acs.jproteome.0c00502","title":"Proteomic Profiling of the Human Tissue and Biological Fluid Proteome","year":2020,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Proteome; Biomarker discovery; Human proteome project; Proteomics; Computational biology; Human genome; Tandem mass tag; Biology; Tandem mass spectrometry; Genome; Human Protein Atlas; Bioinformatics; Mass spectrometry; Gene; Chemistry; Quantitative proteomics; Genetics; Chromatography","score_opus":0.12408027797979614,"score_gpt":0.4113416206054859,"score_spread":0.28726134262568975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093703323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143326,0.00025827228,0.0020745723,0.0039196843,0.000008168945,0.0016220222,0.000020578915,0.00002577693,0.00063765596],"genre_scores_gemma":[0.9531843,0.00011962023,0.045920648,0.000025709476,0.00031403595,0.0003119178,0.0000016565358,0.000026882935,0.000095194635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979964,0.00012758779,0.00066719536,0.0002528322,0.00061527936,0.00034070452],"domain_scores_gemma":[0.9983934,0.00007039971,0.00044330317,0.00032018663,0.0005793857,0.00019333586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011916475,0.00014721787,0.0003368901,0.000086438966,0.00028420388,0.000044084554,0.0007812137,0.00017273054,0.00011373524],"category_scores_gemma":[0.0006747142,0.000092793794,0.00010668821,0.0004220301,0.00044423775,0.000120058256,0.00043920949,0.0013414338,0.0000038699613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007346148,0.00005917082,0.002446335,0.00026452084,0.000020715177,0.000005902938,0.00012166282,0.0000054215507,0.99489105,0.0013103975,0.00006626379,0.0007350923],"study_design_scores_gemma":[0.0003665229,0.00034375617,0.00032584756,0.00016221784,0.0000072583553,0.000037858183,0.00008257294,0.000061889405,0.98723835,0.009448717,0.0018230509,0.000101961174],"about_ca_topic_score_codex":0.0000087536,"about_ca_topic_score_gemma":1.9293019e-7,"teacher_disagreement_score":0.043846074,"about_ca_system_score_codex":0.000071970004,"about_ca_system_score_gemma":0.00016866217,"threshold_uncertainty_score":0.5827937},"labels":[],"label_agreement":null},{"id":"W3094198797","doi":"10.3389/fonc.2020.574552","title":"Isobaric Tags for Relative and Absolute Quantitation in Proteomic Analysis of Potential Biomarkers in Invasive Cancer, Ductal Carcinoma In Situ, and Mammary Fibroadenoma","year":2020,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fibroadenoma; Ductal carcinoma; Breast cancer; Breast Fibroadenoma; Proteomics; Medicine; Malignancy; Pathology; Cancer; Oncology; Cancer research; Biology; Internal medicine","score_opus":0.015175535347775639,"score_gpt":0.28889880190838996,"score_spread":0.2737232665606143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094198797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788721,0.0010815299,0.01782186,0.0013087278,0.000023189696,0.0006695802,0.00006678771,0.000010346608,0.0001458594],"genre_scores_gemma":[0.9199979,0.0005791482,0.0787194,0.00004754077,0.000011613111,0.000570015,0.000055715132,0.000010814678,0.000007871541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892485,0.000039470477,0.0004213282,0.00037814348,0.00004851755,0.00018769575],"domain_scores_gemma":[0.99954724,0.00007849818,0.00020538304,0.00010052116,0.00002569579,0.000042666892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147782,0.00012176503,0.0004415273,0.0004304882,0.000020346728,0.000006104388,0.00011687958,0.0002129813,0.0000046408204],"category_scores_gemma":[0.0000852717,0.00014488457,0.000043073946,0.00070909114,0.00011221433,0.00015167834,0.00007761442,0.00020333094,6.162721e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012350312,0.000148742,0.7451585,0.00032302306,0.0002776082,0.000060489205,0.004314221,0.0014321633,0.2398007,0.0007689988,0.0002934144,0.0061871074],"study_design_scores_gemma":[0.011310615,0.0006674599,0.6984678,0.00020397789,0.00042529427,0.000012610388,0.00465697,0.18857946,0.069924474,0.024592368,0.00028718644,0.0008717746],"about_ca_topic_score_codex":0.0006258848,"about_ca_topic_score_gemma":0.0017578119,"teacher_disagreement_score":0.18714729,"about_ca_system_score_codex":0.0003331951,"about_ca_system_score_gemma":0.00013472649,"threshold_uncertainty_score":0.59082216},"labels":[],"label_agreement":null},{"id":"W3095311172","doi":"10.1021/acsomega.0c04568","title":"Comprehensive Analysis of Low Molecular Weight Serum Proteome Enrichment for Mass Spectrometric Studies","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Advanced Centre for Treatment, Research and Education in Cancer; Terry Fox Foundation; University Grants Commission","keywords":"Chemistry; Chromatography; Proteome; Mass spectrometry; Proteomics; Molecular mass; Blood proteins; Protein precipitation; Tandem mass tag; Quantitative proteomics; Biochemistry; Enzyme","score_opus":0.027045867735124626,"score_gpt":0.307444076714232,"score_spread":0.2803982089791074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095311172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8048112,0.001725129,0.1895376,0.0019810537,0.000012382289,0.0008569729,0.00032528033,0.00016299379,0.0005874032],"genre_scores_gemma":[0.9195296,0.00030027932,0.0791368,0.00021886341,0.000041250023,0.00059173914,0.000055313867,0.000020909025,0.000105259685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998997,0.0000063285006,0.0003009816,0.00032900734,0.0001647747,0.0002019305],"domain_scores_gemma":[0.9990935,0.00008969444,0.00020189835,0.00033463075,0.0002090693,0.0000712441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000350282,0.00015727157,0.0004297138,0.00016443143,0.00005873564,0.000009947291,0.0002443167,0.00006322342,0.000021822989],"category_scores_gemma":[0.000057357764,0.00015040662,0.00019652168,0.0015393272,0.00004986865,0.000043048403,0.000092999355,0.0001064709,0.000003105813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026111675,0.000052364652,0.00047683812,0.00034313998,0.0013496233,0.0000027981414,0.00011414429,0.00046346296,0.9943089,0.0022894104,0.000162166,0.00041104967],"study_design_scores_gemma":[0.00029255488,0.0000619547,0.00008487902,0.000013565663,0.00042835844,3.0768638e-7,0.00014334219,0.0008489804,0.9892785,0.003978544,0.0046945964,0.00017443323],"about_ca_topic_score_codex":0.0000018769314,"about_ca_topic_score_gemma":2.2744678e-7,"teacher_disagreement_score":0.1147184,"about_ca_system_score_codex":0.00006661875,"about_ca_system_score_gemma":0.000015900454,"threshold_uncertainty_score":0.6133404},"labels":[],"label_agreement":null},{"id":"W3096465006","doi":"10.1101/2020.11.03.365585","title":"Extensive and accurate benchmarking of DIA acquisition methods and software tools using a complex proteomic standard","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Workflow; Software; Benchmarking; Proteome; Data mining; Proteomics; Mascot; Bioinformatics; Database; Chemistry; Biology; Programming language","score_opus":0.043857711501277374,"score_gpt":0.3182112711060815,"score_spread":0.2743535596048041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096465006","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5911558,0.00040323564,0.4065668,0.000073693765,0.00003445298,0.00070748007,0.00082637894,0.00022824795,0.0000039140327],"genre_scores_gemma":[0.49538776,0.00024285144,0.5039608,0.000048760623,0.00010631041,0.0001908609,0.000001571167,0.00006089853,1.9583588e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978914,0.00007190976,0.00058033084,0.0009444405,0.00019520025,0.00031668926],"domain_scores_gemma":[0.9977045,0.00012862204,0.0007831801,0.0007278454,0.0004601568,0.00019568823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002846674,0.0004634881,0.0007217765,0.000095533636,0.00019137449,0.00017813656,0.00026895673,0.0004179494,0.000042734515],"category_scores_gemma":[0.00024556334,0.0005317813,0.00009271712,0.00019895338,0.0002115207,0.00017223322,0.0008443934,0.0006218993,5.656386e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005486151,0.000017016464,0.0005665078,0.0010453722,0.00007226805,0.000007298698,0.000015809646,0.000052735642,0.99771845,0.00036249703,0.000011280097,0.00007592525],"study_design_scores_gemma":[0.00032934782,0.000030762458,0.004499985,0.00076814543,0.00014319974,9.958303e-8,0.0000058307323,0.002285438,0.9907633,0.00023863309,0.0003521305,0.00058312266],"about_ca_topic_score_codex":0.000019243813,"about_ca_topic_score_gemma":2.3460969e-7,"teacher_disagreement_score":0.097394004,"about_ca_system_score_codex":0.00017455268,"about_ca_system_score_gemma":0.00023631251,"threshold_uncertainty_score":0.99971336},"labels":[],"label_agreement":null},{"id":"W3101141081","doi":"10.1101/2020.11.20.391300","title":"2019 Association of Biomolecular Resource Facilities Multi-Laboratory Data-Independent Acquisition Study","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"National Institute of Standards and Technology; National Cancer Institute; Instituto Tecnológico de Costa Rica; National Science Foundation","keywords":"Computer science; Sample (material); Data acquisition; Software; Set (abstract data type); Data set; Resource (disambiguation); Data mining; Instrumentation (computer programming); Data science; Database; Information retrieval; Operating system; Chemistry; Artificial intelligence; Chromatography","score_opus":0.023312502231807718,"score_gpt":0.26421052969104464,"score_spread":0.2408980274592369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101141081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8947604,0.0012991554,0.07685247,0.0004850141,0.00026355725,0.0024937636,0.022281446,0.0015257567,0.000038457903],"genre_scores_gemma":[0.9707807,0.00015005871,0.027981665,0.000081238104,0.0002712902,0.00050780963,0.000032389456,0.0001548588,0.000040001607],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99616253,0.00014184735,0.0009506565,0.0015310417,0.00075739686,0.00045652615],"domain_scores_gemma":[0.9945231,0.00008481137,0.0013297363,0.0031612422,0.0006819404,0.00021916036],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077882985,0.0006004284,0.00075112644,0.00015700092,0.00017605055,0.00014759449,0.001520332,0.00075226417,0.000105766136],"category_scores_gemma":[0.00031764377,0.0007274644,0.00014559475,0.0004133373,0.00008222849,0.00020878545,0.0018108911,0.0010633987,0.000043924694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003609028,0.0005586352,0.0060945135,0.00051781576,0.0003083728,0.000018918394,0.000038483646,0.00006214934,0.99124724,0.00012666741,0.0009890872,0.0000020251402],"study_design_scores_gemma":[0.0010024965,0.00005760204,0.0040573464,0.00024803783,0.00030708162,7.478158e-9,0.000080383346,0.0011512609,0.97773665,0.000009804676,0.014366284,0.000983062],"about_ca_topic_score_codex":0.000112476075,"about_ca_topic_score_gemma":0.000003580987,"teacher_disagreement_score":0.07602031,"about_ca_system_score_codex":0.0006501233,"about_ca_system_score_gemma":0.000454148,"threshold_uncertainty_score":0.9995176},"labels":[],"label_agreement":null},{"id":"W3103140651","doi":"10.22541/au.159662521.16200914","title":"PDB-Tools Web: A user-friendly interface for the manipulation of PDB files","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Protein Data Bank (RCSB PDB); Upload; Computer science; Suite; Software; Graphical user interface; Interface (matter); User interface; Protein Data Bank; World Wide Web; User Friendly; File format; Software suite; Database; Operating system","score_opus":0.05133280850518684,"score_gpt":0.3307694925664572,"score_spread":0.27943668406127037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103140651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007037977,0.00018083317,0.97985286,0.0020337477,0.000041240182,0.001105372,0.0008590502,0.00028934464,0.008599609],"genre_scores_gemma":[0.71175116,0.00024005007,0.28238118,0.000071613766,0.0001709002,0.0021477854,0.0003763004,0.000057950863,0.0028030688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989341,0.000005648018,0.00040601203,0.00039552603,0.000117117066,0.00014162033],"domain_scores_gemma":[0.9984993,0.00024040023,0.00035813148,0.00074963836,0.00011428361,0.000038244434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071272094,0.00021285299,0.00026109547,0.000018900215,0.00007424097,0.000051617462,0.0006083258,0.0002470301,0.0005576757],"category_scores_gemma":[0.00008400587,0.00016463619,0.00019517372,0.000053311458,0.00005233858,0.000044531876,0.0005963709,0.00038725822,0.000007799877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021467157,0.00016333302,0.00018809726,0.0031025815,0.00033513852,6.711699e-7,0.00031651903,0.007791528,0.7966957,0.13129407,0.044605363,0.015292334],"study_design_scores_gemma":[0.00019299444,0.000021652328,0.000020585427,0.00019318069,0.00008312072,0.0000013763469,0.00017994927,0.026087716,0.81789863,0.029284617,0.12575132,0.0002848822],"about_ca_topic_score_codex":0.000031035102,"about_ca_topic_score_gemma":0.000012266614,"teacher_disagreement_score":0.70471317,"about_ca_system_score_codex":0.00005068729,"about_ca_system_score_gemma":0.00006084762,"threshold_uncertainty_score":0.67136693},"labels":[],"label_agreement":null},{"id":"W3105595935","doi":"10.1136/jitc-2020-sitc2020.0054","title":"54 Patient stratification using clinical proteomics – validated multiplexed MRM assays to quantify HER2 and other biomarkers in clinical FFPE tissues","year":2020,"lang":"en","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Biomarker; Biomarker discovery; Quantitative proteomics; Multiplex; Selected reaction monitoring; Proteomics; Repeatability; Reproducibility; Computational biology; Chemistry; Biology; Mass spectrometry; Bioinformatics; Tandem mass spectrometry; Chromatography; Biochemistry","score_opus":0.0894014995236722,"score_gpt":0.3655048005106565,"score_spread":0.27610330098698427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105595935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572605,0.000105469626,0.0015869611,0.0014015238,0.000050263432,0.0007738494,0.000075982214,0.00015293552,0.00012698167],"genre_scores_gemma":[0.8605065,0.0000676941,0.13856077,0.00056848396,0.00012430825,0.00007451189,0.000036530953,0.000049528633,0.000011663603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974548,0.00008960546,0.0011914921,0.0007678292,0.00019897801,0.00029727598],"domain_scores_gemma":[0.9983327,0.00010630623,0.0003794053,0.00039021226,0.00007416319,0.0007172454],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005835477,0.00027343328,0.00042164754,0.00004866655,0.00011883948,0.00011209064,0.00017285283,0.00037654702,0.0000117408],"category_scores_gemma":[0.0008046896,0.0002777033,0.00008347032,0.00019973678,0.0002980736,0.00014155463,0.00010411423,0.00043145937,0.000006669316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021107611,0.00025797662,0.17358984,0.00021891818,0.000115925075,0.000022420414,0.0007689993,0.00029493173,0.8147523,0.000789188,0.000449119,0.008529343],"study_design_scores_gemma":[0.0019749245,0.0003282671,0.03276715,0.00050925446,0.0001254143,0.000043892716,0.0007039111,0.020224355,0.9190235,0.0026325209,0.020399472,0.0012673364],"about_ca_topic_score_codex":0.00023828063,"about_ca_topic_score_gemma":0.000040690575,"teacher_disagreement_score":0.1408227,"about_ca_system_score_codex":0.000044581553,"about_ca_system_score_gemma":0.00013340489,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W3106125405","doi":"10.1101/753996","title":"MetaLab 2.0 enables accurate post-translational modifications profiling in metaproteomics","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Government of Canada; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute; University of Ottawa","keywords":"Metaproteomics; Microbiome; Computational biology; Workflow; Profiling (computer programming); Posttranslational modification; Proteomics; Identification (biology); Biology; Human microbiome; Human Microbiome Project; Computer science; Function (biology); Metagenomics; Bioinformatics; Data science; Genetics; Ecology; Biochemistry; Gene","score_opus":0.020203197528926048,"score_gpt":0.2540362872716917,"score_spread":0.23383308974276565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106125405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8998482,0.0012391716,0.09183764,0.00076876156,0.00022296158,0.002382683,0.0025499843,0.000945921,0.00020463244],"genre_scores_gemma":[0.8184644,0.0003183261,0.17861824,0.00007354773,0.00017349872,0.0021530108,0.000011583451,0.00015954753,0.000027817729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967864,0.000049553517,0.0009246818,0.0012858488,0.00036082842,0.00059268385],"domain_scores_gemma":[0.9966224,0.00010804851,0.00065062824,0.0018574317,0.0005922151,0.00016931888],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004418258,0.0006449526,0.0006715755,0.00030667434,0.00017537842,0.0002002886,0.0009260917,0.0007755426,0.00012656458],"category_scores_gemma":[0.00015942015,0.0007415079,0.00023946246,0.00047031743,0.000110726025,0.0002841677,0.00038146015,0.0014205797,0.00007104008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025209905,0.00015504104,0.0016952754,0.00048960815,0.00009640434,0.0000048739353,0.000007794042,0.004887766,0.9813978,0.011223795,0.000014448967,0.000002003457],"study_design_scores_gemma":[0.00042250063,0.0000079414485,0.0016688611,0.0002747492,0.00010909065,2.092758e-8,0.000005984942,0.008146049,0.98640156,0.00019058232,0.0018626347,0.00091002876],"about_ca_topic_score_codex":0.000074194795,"about_ca_topic_score_gemma":0.0000041943063,"teacher_disagreement_score":0.08678061,"about_ca_system_score_codex":0.00031941826,"about_ca_system_score_gemma":0.0008256225,"threshold_uncertainty_score":0.9995036},"labels":[],"label_agreement":null},{"id":"W3108261373","doi":"10.1021/acs.jproteome.0c00914","title":"The Human Proteome: 90% in the Light, 10% on the Dark Side","year":2020,"lang":"en","type":"editorial","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Institute of Infection and Immunity; Canadian Institutes of Health Research","keywords":"Citation; Altmetrics; Proteome; Social media; Library science; Computer science; World Wide Web; Medicine; Bioinformatics; Biology","score_opus":0.05954258410727057,"score_gpt":0.4111506701937254,"score_spread":0.35160808608645483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108261373","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014149097,0.0053928024,0.00084879546,0.52772695,0.107462406,0.032405056,0.0008023519,0.00039413982,0.3108184],"genre_scores_gemma":[0.012896072,0.0017489515,0.0022344645,0.000154523,0.9589865,0.007940289,0.00005872563,0.00031009325,0.01567036],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99301046,0.0006936725,0.0011846873,0.0004660587,0.0038252322,0.00081988826],"domain_scores_gemma":[0.9924497,0.003718157,0.001006645,0.0014687637,0.0011923347,0.0001644075],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008820675,0.00039772852,0.00052678725,0.0002091136,0.0015193031,0.0006127702,0.004957938,0.00068606203,0.00019809254],"category_scores_gemma":[0.005673961,0.00018145025,0.00035100535,0.00084004056,0.00044420903,0.000118511845,0.00049935735,0.01251901,0.00007501296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002268061,0.00012329836,0.0000024946855,0.0001598327,0.000057658086,0.00007327108,0.00024246133,0.000003110858,0.057832915,0.0017816504,0.9388785,0.0006179998],"study_design_scores_gemma":[0.00033848212,0.00033358848,0.0000030037934,0.0005562658,0.000015256955,0.000014410891,0.00033145075,0.00000486929,0.043893065,0.03447888,0.9198352,0.00019552531],"about_ca_topic_score_codex":0.000030297393,"about_ca_topic_score_gemma":0.000016011794,"teacher_disagreement_score":0.8515241,"about_ca_system_score_codex":0.0005387917,"about_ca_system_score_gemma":0.0010075691,"threshold_uncertainty_score":0.9997806},"labels":[],"label_agreement":null},{"id":"W3109082402","doi":"10.1038/s41598-020-76603-3","title":"VolcaNoseR is a web app for creating, exploring, labeling and sharing volcano plots","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":773,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Plot (graphics); Computer science; Web application; Measure (data warehouse); Data mining; Identification (biology); Information retrieval; World Wide Web; Biology; Statistics; Mathematics","score_opus":0.05254093367203964,"score_gpt":0.28623758185920956,"score_spread":0.23369664818716993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109082402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831665,0.00023680402,0.009403329,0.000622462,0.00028088634,0.00048344085,0.000030997693,0.0005704225,0.005205158],"genre_scores_gemma":[0.9155034,0.000045892943,0.073055774,0.0002575987,0.00027763023,0.0012786095,0.00008139199,0.000079614816,0.00942011],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982531,0.0000017814218,0.00037948583,0.0009057484,0.00018823161,0.00027167102],"domain_scores_gemma":[0.9989078,0.000021716824,0.00023938202,0.0005403816,0.00011485087,0.00017583882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023166632,0.00014632671,0.00016592426,0.000035059307,0.00043664474,0.00023144015,0.00015406914,0.00006129189,0.00016634022],"category_scores_gemma":[0.00015087961,0.00015106029,0.000066648405,0.00018652559,0.000093967916,0.00018395306,0.00017671054,0.0001225714,0.0000048833217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009685062,0.000026995154,0.0074358652,0.00021738978,0.00001714648,0.000019691324,0.0009687564,0.00002329976,0.97768027,0.00070139696,0.01018214,0.0027173585],"study_design_scores_gemma":[0.00012993388,0.000011029641,0.000008340252,0.00007508393,0.000020370542,0.00002408963,0.00014466255,0.0038778938,0.673478,0.008452551,0.3135519,0.00022611285],"about_ca_topic_score_codex":0.000012345017,"about_ca_topic_score_gemma":0.0000036514496,"teacher_disagreement_score":0.30420226,"about_ca_system_score_codex":0.000033779732,"about_ca_system_score_gemma":0.00006570559,"threshold_uncertainty_score":0.616006},"labels":[],"label_agreement":null},{"id":"W3110657370","doi":"10.1016/j.xpro.2020.100216","title":"Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry","year":2020,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Erythropoiesis; Transcription factor; Haematopoiesis; Computational biology; Mass spectrometry; Biology; Cell fate determination; Chemistry; Cell biology; Stem cell; Gene; Genetics; Chromatography; Medicine; Internal medicine","score_opus":0.07588904402548431,"score_gpt":0.35654836251767275,"score_spread":0.28065931849218845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110657370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9227923,0.0000053413974,0.061593145,0.000057930243,0.000006669722,0.015174288,0.000030590203,0.00017167392,0.0001680173],"genre_scores_gemma":[0.9394477,0.000004512197,0.043461166,0.0000020669893,0.00006860877,0.016935268,0.00003731865,0.000029456432,0.000013901379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897736,0.000017183229,0.00040012764,0.00028097368,0.00015234151,0.00017198946],"domain_scores_gemma":[0.99938637,0.000014056832,0.00024243773,0.00022351301,0.00008505673,0.00004856418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072896306,0.00013446802,0.00019317488,0.000077145596,0.0000877057,0.000018409564,0.00013778552,0.000112463225,0.000058109403],"category_scores_gemma":[0.00002743668,0.0001508356,0.00005212892,0.0005252871,0.000034622615,0.00017623306,0.0000125252245,0.00023229614,0.0000010665667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003600767,0.000048949023,0.0054895487,0.0002088083,0.000008033869,3.2785618e-7,0.00019745497,0.00006015652,0.9935891,0.00023527046,0.0000027034935,0.00012362954],"study_design_scores_gemma":[0.0002640511,0.000041917494,0.0028257265,0.00012958467,0.000008567965,3.684793e-7,0.00021036182,0.0005730485,0.9947275,0.0008595804,0.00021876146,0.00014053074],"about_ca_topic_score_codex":0.000118739976,"about_ca_topic_score_gemma":0.0000037920495,"teacher_disagreement_score":0.018131979,"about_ca_system_score_codex":0.00018063054,"about_ca_system_score_gemma":0.000030734995,"threshold_uncertainty_score":0.6150898},"labels":[],"label_agreement":null},{"id":"W3111161654","doi":"10.1186/s13023-020-01669-1","title":"Protein signature of human skin fibroblasts allows the study of the molecular etiology of rare neurological diseases","year":2021,"lang":"en","type":"article","venue":"Orphanet Journal of Rare Diseases","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"European Regional Development Fund; Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen; Bundesministerium für Bildung und Forschung","keywords":"Human genetics; Etiology; Human skin; Medicine; Biology; Bioinformatics; Pathology; Genetics; Gene","score_opus":0.008247700369244234,"score_gpt":0.26308997987769056,"score_spread":0.25484227950844635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111161654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970038,0.0017999816,0.0001562148,0.00030916938,0.0000141761175,0.00034761883,0.00030522284,0.0000111159,0.000052731717],"genre_scores_gemma":[0.9993167,0.000039552153,0.00038184007,0.00006609584,0.000054646942,0.00004860006,0.000023648061,0.000017826844,0.00005110371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998556,0.00018124862,0.0005931507,0.00018873396,0.00033352632,0.00014731236],"domain_scores_gemma":[0.9979625,0.00013196506,0.00091561803,0.0005441541,0.0003624834,0.00008328079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000621854,0.00016620076,0.00039759802,0.000031887364,0.00008675124,0.000009591989,0.00065791054,0.00009591919,0.00031105816],"category_scores_gemma":[0.00022946797,0.00009824193,0.00031132592,0.00018806932,0.00021275807,0.00005082194,0.00021071569,0.00031743993,1.8646737e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039722232,0.0024624271,0.018374091,0.00029792805,0.00022564938,0.00018074982,0.00018968353,0.001284109,0.9743246,0.0010141422,0.00058243296,0.00066699466],"study_design_scores_gemma":[0.0017124444,0.0011061229,0.024707746,0.0004696286,0.0005945973,0.0001384997,0.0011394201,0.00004148809,0.95960486,0.009386017,0.0008260017,0.0002731506],"about_ca_topic_score_codex":0.0000043045857,"about_ca_topic_score_gemma":0.0000033354302,"teacher_disagreement_score":0.0147196865,"about_ca_system_score_codex":0.000011364782,"about_ca_system_score_gemma":0.00011651757,"threshold_uncertainty_score":0.40061897},"labels":[],"label_agreement":null},{"id":"W31112237","doi":"10.1007/978-3-642-34123-6_18","title":"Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Pancreatic cancer; Cancer; Computer science; Internal medicine","score_opus":0.019931380534478543,"score_gpt":0.28357806821966847,"score_spread":0.26364668768518995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31112237","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051527224,0.0029642545,0.99032974,0.0004507666,0.00020046464,0.00035388695,0.00009451637,0.00009586704,0.00035776175],"genre_scores_gemma":[0.3922822,0.0006279033,0.6034699,0.0010568094,0.0016385368,0.00015325319,0.000044171094,0.0000991159,0.00062812294],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828434,0.0000068514155,0.00030744984,0.0006007418,0.0004024852,0.00039811886],"domain_scores_gemma":[0.99849296,0.00028715798,0.00024069622,0.0007893824,0.00009898174,0.0000908035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021044219,0.000338733,0.00030155113,0.00008202982,0.00030778363,0.00005369656,0.0008056363,0.00021217258,0.00029226334],"category_scores_gemma":[0.000027744483,0.00023086817,0.000079924146,0.00013223368,0.00050254347,0.00010199513,0.00051400583,0.0006580339,0.000007425512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036912046,0.00014765184,0.0013125737,0.00026808353,0.0000744751,0.000042086805,0.00050579134,0.2322043,0.06705566,0.0185085,0.00003304561,0.67981094],"study_design_scores_gemma":[0.00033868777,0.000039752267,0.00006354623,0.0018414083,0.00013109176,0.000114492126,1.7359085e-7,0.5814369,0.22809958,0.17947558,0.0071379947,0.0013208423],"about_ca_topic_score_codex":0.00022395965,"about_ca_topic_score_gemma":0.00004723951,"teacher_disagreement_score":0.6784901,"about_ca_system_score_codex":0.00025559403,"about_ca_system_score_gemma":0.00018866341,"threshold_uncertainty_score":0.9414531},"labels":[],"label_agreement":null},{"id":"W3111463752","doi":"10.1039/9781788019958-00191","title":"Applications for Mass Spectrometry-based Proteomics and Phosphoproteomics in Precision Medicine","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; PROTEO; Centre hospitalier universitaire de Québec","funders":"","keywords":"Phosphoproteomics; Proteomics; Proteome; Computational biology; Precision medicine; Quantitative proteomics; Mass spectrometry; Human disease; Posttranslational modification; Chemistry; Bioinformatics; Biology; Protein phosphorylation; Phosphorylation; Medicine; Chromatography; Biochemistry; Pathology; Protein kinase A","score_opus":0.01647417641116564,"score_gpt":0.27176785290062766,"score_spread":0.255293676489462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111463752","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011026428,0.00024634768,0.8019363,0.0015909671,0.000008341635,0.0032501104,0.00027597722,0.00021007982,0.19247082],"genre_scores_gemma":[0.0004938375,0.0005413838,0.9303878,0.00029725136,0.00029625048,0.0050632786,0.0005410378,0.00016412226,0.062215034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807054,0.0000022323889,0.0006440375,0.0008440904,0.00019453318,0.00024454994],"domain_scores_gemma":[0.99856144,0.00017401809,0.0003671527,0.00063899386,0.000102099955,0.00015627283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012966405,0.00045274003,0.0005956898,0.00015986444,0.0001011879,0.000026260333,0.00035855992,0.00055239425,0.0005572273],"category_scores_gemma":[0.000045610734,0.00043952087,0.00011248261,0.00008436428,0.00016774479,0.00004259795,0.00008574547,0.0006053374,0.000011876889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020925544,0.000041506184,0.00002419254,0.0007682809,0.000038299822,0.000002603545,0.000019470684,0.000019492143,0.28415737,0.70651937,0.00086689583,0.0073332456],"study_design_scores_gemma":[0.0011373318,0.00009243918,6.681291e-7,0.00031507632,0.000065180226,0.0000038376606,0.000011732872,0.0020469285,0.17433365,0.5850132,0.2363494,0.0006305261],"about_ca_topic_score_codex":0.000013516215,"about_ca_topic_score_gemma":0.000009748291,"teacher_disagreement_score":0.23548251,"about_ca_system_score_codex":0.00021557488,"about_ca_system_score_gemma":0.00009731271,"threshold_uncertainty_score":0.9998056},"labels":[],"label_agreement":null},{"id":"W3112636819","doi":"10.1101/2020.12.08.415844","title":"DIAproteomics: A multi-functional data analysis pipeline for data-independent-acquisition proteomics and peptidomics","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Pipeline (software); Data mining; Pairwise comparison; Software; Data acquisition; False discovery rate; MIT License; Process (computing); Artificial intelligence","score_opus":0.055179777817307735,"score_gpt":0.28563849251937595,"score_spread":0.23045871470206822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112636819","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05885869,0.00035162663,0.9116036,0.0005251324,0.00010777752,0.0020148617,0.025922993,0.0006123246,0.000002994485],"genre_scores_gemma":[0.341315,0.0005090368,0.6546316,0.00018066641,0.00084391754,0.0017108496,0.00060878875,0.00018912759,0.000011035535],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99526024,0.000036843318,0.0009269371,0.002885252,0.00036164242,0.00052910275],"domain_scores_gemma":[0.9927978,0.00010534926,0.00093439256,0.005341902,0.0004631955,0.0003573858],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068039045,0.00073562353,0.00092124025,0.00022836211,0.00033614202,0.00036788918,0.0021782396,0.0007955023,0.00006782033],"category_scores_gemma":[0.00037075946,0.00086732046,0.00019567032,0.00047318923,0.00016122368,0.0004149395,0.004366174,0.0010770324,0.000011363148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020451976,0.00024286247,0.0017102552,0.00088895054,0.00095104455,0.0000076239116,0.0000061933806,0.00040598214,0.9942469,0.0007182619,0.0006040667,0.000013338985],"study_design_scores_gemma":[0.0016836181,0.000020290636,0.0011094055,0.00019060848,0.0024090002,7.079933e-8,0.000007598749,0.6166831,0.3709348,0.000115712166,0.005292712,0.0015530074],"about_ca_topic_score_codex":0.00006675625,"about_ca_topic_score_gemma":0.0000127708245,"teacher_disagreement_score":0.62331206,"about_ca_system_score_codex":0.00025934944,"about_ca_system_score_gemma":0.0004956895,"threshold_uncertainty_score":0.9993777},"labels":[],"label_agreement":null},{"id":"W3113917210","doi":"10.1111/febs.15685","title":"Imaging the future: the emerging era of single‐cell spatial proteomics","year":2020,"lang":"en","type":"review","venue":"FEBS Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Boston University","keywords":"Proteomics; Protein subcellular localization prediction; Compartmentalization (fire protection); Cell biology; Biology; Proteome; Cytoplasm; Computational biology; Organelle; Systems biology; Cellular compartment; Cell; Subcellular localization; Function (biology); Bioinformatics; Gene; Biochemistry","score_opus":0.018972732413472356,"score_gpt":0.2977034446362931,"score_spread":0.27873071222282075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113917210","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000066939983,0.9602388,0.036267728,0.001439752,0.00012790156,0.00048980874,0.000053851287,0.000046468183,0.0013289647],"genre_scores_gemma":[0.00006721899,0.982528,0.013704636,0.00007134446,0.0032873487,0.00014835059,0.000018590294,0.00008183632,0.00009269508],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835783,0.00006085742,0.00079316867,0.0002430378,0.00027384644,0.00027123315],"domain_scores_gemma":[0.9977625,0.00009812018,0.0014288024,0.00053208566,0.000095851385,0.00008262093],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00025150058,0.0003418588,0.0006715056,0.00002675718,0.0004605661,0.00013305467,0.001125077,0.00014360563,0.0001930378],"category_scores_gemma":[0.000033568842,0.0001845239,0.00059585954,0.00019723595,0.00010222826,0.00006358413,0.00021830287,0.0026017472,0.000010117963],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042645493,0.000027237544,0.0000017145965,0.0013197621,0.000047318128,0.0000091554275,0.00010205565,0.0000037090172,0.0009894515,0.000124758,0.00074199424,0.9966286],"study_design_scores_gemma":[0.000078676894,0.000008102829,1.13855165e-7,0.0019494946,0.0002830069,0.00044306525,0.000095405565,0.000051323063,0.002682955,0.0010606581,0.9931416,0.00020562866],"about_ca_topic_score_codex":0.000004737553,"about_ca_topic_score_gemma":0.0000010830961,"teacher_disagreement_score":0.99642295,"about_ca_system_score_codex":0.00013483569,"about_ca_system_score_gemma":0.00026502035,"threshold_uncertainty_score":0.9996993},"labels":[],"label_agreement":null},{"id":"W3115333108","doi":"10.26434/chemrxiv.13380089.v1","title":"A Mass Spectrometry-Cleavable N-Terminal Tagging Strategy for System-Level Protease Activity Profiling","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health; National Institute of General Medical Sciences; University of Texas at Arlington","keywords":"Proteases; Proteolysis; Chemistry; Biotinylation; Protease; Biochemistry; Tandem mass spectrometry; Computational biology; Proteolytic enzymes; Mass spectrometry; Biology; Enzyme; Chromatography","score_opus":0.0645288448200391,"score_gpt":0.3209327981585173,"score_spread":0.2564039533384782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115333108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10105347,0.00010332829,0.88154745,0.0004652896,0.0000727257,0.0029614011,0.00044784087,0.0012769465,0.012071572],"genre_scores_gemma":[0.6789302,0.000015414673,0.31439748,0.000019394309,0.0005381441,0.0051031723,0.00020067101,0.00010970174,0.0006857544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975867,0.0000125945635,0.00049277546,0.001144811,0.0002260851,0.0005369942],"domain_scores_gemma":[0.99799913,0.0000676039,0.0006372783,0.0009402796,0.00013765543,0.00021802963],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020081238,0.0005223477,0.00062770734,0.00007195874,0.00022597067,0.00016319015,0.000670964,0.0005183051,0.00006409466],"category_scores_gemma":[0.000097152886,0.0005816156,0.0003205457,0.00015388029,0.00006524902,0.000095129384,0.0004277119,0.0012031927,0.000015053707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010672802,0.00008195994,0.00003967696,0.007734772,0.00007503456,0.000023274924,0.000020531976,0.00018145154,0.98499686,0.0054101353,0.0001523349,0.0011772399],"study_design_scores_gemma":[0.00032155326,0.000024769763,0.0000027577314,0.000531123,0.00008852373,0.000018197039,0.000090396665,0.0178288,0.9685524,0.011291517,0.00065398467,0.00059599226],"about_ca_topic_score_codex":0.000026003541,"about_ca_topic_score_gemma":5.3274533e-7,"teacher_disagreement_score":0.5778768,"about_ca_system_score_codex":0.0004838698,"about_ca_system_score_gemma":0.0003187294,"threshold_uncertainty_score":0.99966353},"labels":[],"label_agreement":null},{"id":"W3116454494","doi":"10.21203/rs.3.rs-135099/v1","title":"A new type of disordered CP12 protein in the marine diatom Thalassiosira pseudonana","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Centre National de la Recherche Scientifique; Chinese Academy of Sciences; Agence Nationale de la Recherche","keywords":"Thalassiosira pseudonana; Diatom; Type (biology); Chemistry; Botany; Biology; Ecology; Nutrient; Phytoplankton","score_opus":0.08281063883343698,"score_gpt":0.409993304113718,"score_spread":0.327182665280281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116454494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83937895,0.0022815312,0.011614994,0.035138156,0.000062468374,0.01221227,0.0008426655,0.0006143575,0.09785461],"genre_scores_gemma":[0.97682923,0.00050810096,0.019282704,0.000020631713,0.00018298226,0.0015778779,0.0002702598,0.000060377057,0.0012678262],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978229,0.00011829228,0.0003875596,0.00054651056,0.0007208152,0.00040396777],"domain_scores_gemma":[0.9981113,0.00019668655,0.00015460837,0.0012102507,0.00020719455,0.0001199386],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00045033166,0.00022213654,0.00032590862,0.00011099671,0.00008845835,0.00005866583,0.0012885588,0.0003183468,0.0006357275],"category_scores_gemma":[0.00038973274,0.00017255972,0.00012441124,0.0006149098,0.00010392336,0.000033549004,0.0019388257,0.002307057,0.00002259744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017749924,0.0026258207,0.049910754,0.025821554,0.00034642656,0.0002404706,0.0068315296,0.00042205065,0.51121587,0.15683438,0.037479263,0.20649688],"study_design_scores_gemma":[0.0013058098,0.00033910645,0.0047485395,0.0030105356,0.000031152867,0.0000071242152,0.0015875091,0.0017367078,0.199248,0.7221108,0.064871125,0.0010035649],"about_ca_topic_score_codex":0.0010840575,"about_ca_topic_score_gemma":0.00011357515,"teacher_disagreement_score":0.56527644,"about_ca_system_score_codex":0.000117121046,"about_ca_system_score_gemma":0.00055409456,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W3116735265","doi":"10.1101/2020.12.22.423928","title":"Systematic detection of functional proteoform groups from bottom-up proteomic datasets","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"SystemsX.ch; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Proteome; Computational biology; Proteomics; Alternative splicing; Human proteome project; Context (archaeology); Genome; Bottom-up proteomics; Gene; Biology; Bioinformatics; Chemistry; Genetics; Tandem mass spectrometry; Mass spectrometry; Messenger RNA","score_opus":0.0154156963784426,"score_gpt":0.22625512791587354,"score_spread":0.21083943153743095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116735265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75860876,0.0004905458,0.2266356,0.00014263416,0.0004146671,0.004300669,0.008201836,0.0011933366,0.000011980566],"genre_scores_gemma":[0.96491516,0.000076687655,0.028627388,0.000042764168,0.0004809454,0.0056695747,0.000027976059,0.00015558142,0.0000039311212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967767,0.000053391417,0.0011144329,0.0011659097,0.00048922945,0.00040035506],"domain_scores_gemma":[0.9960472,0.00007407066,0.001406675,0.0019298717,0.00031059468,0.0002316065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002918647,0.0006179882,0.00090365764,0.00012619248,0.0001834626,0.00011149132,0.0007690399,0.0007214327,0.000115320916],"category_scores_gemma":[0.00026777794,0.0006638527,0.00024114767,0.00031375772,0.0001166701,0.00018640024,0.00068871916,0.0013059679,0.000058726644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006257844,0.00008557124,0.000113511305,0.013286362,0.00019483107,0.0000048527104,0.0000054264433,0.000022401051,0.98571026,0.00044544545,0.000067929606,8.388711e-7],"study_design_scores_gemma":[0.0003751394,0.000022655828,0.0005934907,0.0036733903,0.00023607312,2.9460724e-8,0.0000040087475,0.001327054,0.99282163,0.00014016787,0.00017545561,0.00063090713],"about_ca_topic_score_codex":0.000104549734,"about_ca_topic_score_gemma":0.0000018717391,"teacher_disagreement_score":0.20630641,"about_ca_system_score_codex":0.00039977298,"about_ca_system_score_gemma":0.00034992147,"threshold_uncertainty_score":0.9995813},"labels":[],"label_agreement":null},{"id":"W3119159372","doi":"10.1186/s12014-020-09309-3","title":"Evaluation of the potential of Pap test fluid and cervical swabs to serve as clinical diagnostic biospecimens for the detection of ovarian cancer by mass spectrometry-based proteomics","year":2021,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; University of Minnesota; Minnesota Ovarian Cancer Alliance; U.S. Department of Defense","keywords":"Proteomics; Cervical cancer; Mesothelin; Ovarian cancer; Cancer; Proteome; Computational biology; Bioinformatics; Medicine; Chemistry; Biology; Internal medicine; Biochemistry; Gene","score_opus":0.039128151082784814,"score_gpt":0.3738064977115952,"score_spread":0.33467834662881035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119159372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65552884,0.00025330592,0.33813614,0.00247958,0.00013212817,0.0028321452,0.00056468893,0.000024624283,0.000048538488],"genre_scores_gemma":[0.8906633,0.00026443423,0.10732296,0.000186396,0.0002455201,0.0012179121,0.000023952041,0.00003955403,0.00003592836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969582,0.00018910767,0.0015632896,0.0005481702,0.0004997661,0.00024146518],"domain_scores_gemma":[0.99421364,0.0027872403,0.00088208966,0.00090131524,0.0010929623,0.00012275817],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0025516124,0.00021172274,0.00052723096,0.000029075789,0.00014608713,0.000020469699,0.00044435242,0.0003950046,0.00009732592],"category_scores_gemma":[0.009701481,0.00015778317,0.00037873213,0.00035640885,0.0004083818,0.000044209384,0.00019737441,0.0004960609,0.0000011525317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002279586,0.000464587,0.0070699076,0.00014343132,0.00010094484,2.4860074e-7,0.000011136068,0.00047646032,0.9869585,0.00025031765,0.00005507259,0.0042414027],"study_design_scores_gemma":[0.0017418349,0.00026412192,0.00610012,0.00013209322,0.00051045214,0.0000024300891,0.000043346612,0.017746495,0.96280384,0.010273888,0.00020294516,0.00017840644],"about_ca_topic_score_codex":0.00006903525,"about_ca_topic_score_gemma":0.000042961,"teacher_disagreement_score":0.23513448,"about_ca_system_score_codex":0.00010805227,"about_ca_system_score_gemma":0.00056579115,"threshold_uncertainty_score":0.99864024},"labels":[],"label_agreement":null},{"id":"W3121418202","doi":"10.3390/ijms22031189","title":"Comparison of Proteomic Technologies for Blood-Based Detection of Colorectal Cancer","year":2021,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Genome British Columbia; University of Victoria","keywords":"Biomarker; Colorectal cancer; Biomarker discovery; PON1; Selected reaction monitoring; Proteomics; Chemistry; Chromatography; Mass spectrometry; Cancer; Biology; Biochemistry; Tandem mass spectrometry; Genetics","score_opus":0.019229970252309086,"score_gpt":0.35433561303195776,"score_spread":0.33510564277964866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121418202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8640129,0.00045455998,0.13492195,0.0003778275,0.000053381234,0.000059617498,0.000022444536,0.000011173474,0.000086141285],"genre_scores_gemma":[0.91197836,0.0000391322,0.08791853,0.000007820058,0.000014464802,0.000032340522,0.000001273337,0.0000035608914,0.0000045188017],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991958,0.0000060686816,0.00034403973,0.00009690271,0.00029193662,0.000065231805],"domain_scores_gemma":[0.9985868,0.000047273366,0.00060161337,0.000059508464,0.0006922623,0.000012587293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012792762,0.000053224405,0.00014054758,0.00008827881,0.000032686807,0.00001381533,0.00039693993,0.000049080434,0.000014500405],"category_scores_gemma":[0.00014222047,0.000047584486,0.00010459494,0.00013075722,0.00018440347,0.00005844149,0.00003686374,0.00008497431,5.1569973e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034552475,0.00009958714,0.0022852083,0.000018560093,0.000039392093,0.0000022061572,0.000018077046,0.0024704728,0.9880077,0.00073751307,0.000002454817,0.006284245],"study_design_scores_gemma":[0.00026699403,0.000091269554,0.000051665033,0.00009400649,0.000021308351,0.00001622614,0.00015089652,0.0022832237,0.99302495,0.0038356015,0.00011845889,0.000045430934],"about_ca_topic_score_codex":0.000008171438,"about_ca_topic_score_gemma":0.00000492226,"teacher_disagreement_score":0.04796546,"about_ca_system_score_codex":0.00003102395,"about_ca_system_score_gemma":0.0001939903,"threshold_uncertainty_score":0.1940439},"labels":[],"label_agreement":null},{"id":"W3123409937","doi":"10.1021/acs.jproteome.0c00629","title":"MicroPOTS Analysis of Barrett’s Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Pacific Northwest National Laboratory; Office of Science; Ministerstvo Zdravotnictví Ceské Republiky; Biological and Environmental Research; Fundacja na rzecz Nauki Polskiej; European Commission; European Regional Development Fund; Genome British Columbia; Genome Canada; Infrastruktura PL-Grid; U.S. Department of Energy","keywords":"Proteomics; S100A9; Cell culture; Computational biology; Population; Biology; Chemistry; Molecular biology; Biochemistry; Medicine; Immunology; Inflammation; Genetics","score_opus":0.04058788297702329,"score_gpt":0.3537481405908043,"score_spread":0.31316025761378097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123409937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98836136,0.004791857,0.0058054314,0.0004845022,0.000011584911,0.00032659838,0.000114840135,0.000011821991,0.000092027476],"genre_scores_gemma":[0.9806608,0.0024434377,0.015867366,0.000009558592,0.00015547744,0.00019087506,0.000022960781,0.000018895153,0.0006306395],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998339,0.000114189366,0.0004913189,0.00026771208,0.00050356094,0.00028421739],"domain_scores_gemma":[0.9980727,0.00010237672,0.00040840564,0.00034207953,0.0009585566,0.000115874696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071606756,0.00013562359,0.0004282482,0.0004468129,0.00010924792,0.00006606208,0.00026787823,0.00014828594,0.00023323462],"category_scores_gemma":[0.00010007965,0.00011701395,0.00015910697,0.0007928833,0.0001580086,0.0001931363,0.00019429663,0.00062360923,0.0000012957136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012949723,0.0001531013,0.0009844871,0.00036151055,0.00018866696,0.0000354882,0.00020817948,0.0007704366,0.99591637,0.000056222063,0.00003440533,0.0011616137],"study_design_scores_gemma":[0.00029503807,0.00009033927,0.001101714,0.00010746953,0.00012316501,0.000010940646,0.00018980775,0.003067912,0.9892395,0.0056385933,0.000031921572,0.00010359986],"about_ca_topic_score_codex":0.000019959904,"about_ca_topic_score_gemma":0.000010282212,"teacher_disagreement_score":0.010061935,"about_ca_system_score_codex":0.00009399178,"about_ca_system_score_gemma":0.00014089755,"threshold_uncertainty_score":0.47716904},"labels":[],"label_agreement":null},{"id":"W3124991397","doi":"10.1093/bioinformatics/btab018","title":"Mouse Quantitative Proteomics Knowledgebase: reference protein concentration ranges in 20 mouse tissues using 5000 quantitative proteomics assays","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"McGill University","keywords":"Proteomics; Computational biology; Quantitative proteomics; Biology; Laboratory mouse; Gene; Bioinformatics; Genetics","score_opus":0.05352775581482376,"score_gpt":0.3313772763677119,"score_spread":0.27784952055288814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124991397","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69717985,0.00031968998,0.29458192,0.0001933634,0.000026871134,0.0021611361,0.0006146259,0.00031050757,0.0046120626],"genre_scores_gemma":[0.037428398,0.00025504938,0.9594377,0.000050426184,0.000040874856,0.00084056944,0.0005539438,0.00006580113,0.0013271979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976589,0.00006570247,0.0010314168,0.00040311195,0.00032399743,0.00051683735],"domain_scores_gemma":[0.9979363,0.000112533606,0.0006386523,0.0006386151,0.0005376694,0.00013624823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031513008,0.00040966625,0.0004838384,0.000098509816,0.00023703519,0.00016961589,0.00035067275,0.00033907167,0.00010709383],"category_scores_gemma":[0.0004131109,0.0004310442,0.00008871302,0.0004611375,0.000192331,0.00075411954,0.0001696447,0.00059509935,0.000056151715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001233882,0.00023561335,0.00019034349,0.00062218367,0.00003596871,0.00000818078,0.00215003,0.00077556726,0.96750796,0.027600145,0.00008609457,0.0006645427],"study_design_scores_gemma":[0.0007372712,0.00006762574,0.0000034362247,0.0003196036,0.000020438583,0.000009895297,0.0022935679,0.094550766,0.89799917,0.0019676066,0.0015238532,0.00050677895],"about_ca_topic_score_codex":0.00005453179,"about_ca_topic_score_gemma":0.00013318953,"teacher_disagreement_score":0.66485584,"about_ca_system_score_codex":0.0004164237,"about_ca_system_score_gemma":0.00044795033,"threshold_uncertainty_score":0.99981415},"labels":[],"label_agreement":null},{"id":"W3126561215","doi":"10.1186/s12014-021-09320-2","title":"The plasma peptides of Alzheimer’s disease","year":2021,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiple sclerosis; Proteomics; Proteome; Alzheimer's disease; Blood proteins; Dementia; Tandem mass spectrometry; Bioinformatics; Medicine; Chemistry; Computational biology; Internal medicine; Disease; Biology; Biochemistry; Mass spectrometry; Immunology; Chromatography","score_opus":0.058079777044600385,"score_gpt":0.37211138848987874,"score_spread":0.31403161144527836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126561215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565193,0.0014765372,0.023331746,0.004484905,0.0001514442,0.0006883592,0.0001679255,0.00025299133,0.012926759],"genre_scores_gemma":[0.827525,0.0017871119,0.16792059,0.00020066174,0.00033313033,0.00038556394,0.000045404206,0.000045671415,0.001756856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987401,0.000028160557,0.00064749253,0.00028258588,0.0001221813,0.00017951877],"domain_scores_gemma":[0.9982577,0.0004130293,0.0002563075,0.0007711785,0.00015547911,0.00014633247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002813865,0.00010971296,0.00019838833,0.0000067501123,0.00017061723,0.000025488542,0.0002957234,0.00011146371,0.00007474087],"category_scores_gemma":[0.0008396903,0.00008510047,0.00021795736,0.000089165245,0.0003144011,0.00003845858,0.00018839423,0.00034330643,0.000020147585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012161079,0.0024560236,0.054855414,0.0004167794,0.0007105656,0.0000902453,0.0001073021,0.0003898513,0.4031703,0.29608685,0.012554082,0.22794648],"study_design_scores_gemma":[0.0005770974,0.00002722275,0.0009398579,0.00008178773,0.00011724957,0.000005468451,0.000065953995,0.0020115739,0.837571,0.09772877,0.06059207,0.00028190255],"about_ca_topic_score_codex":0.0000019817635,"about_ca_topic_score_gemma":0.0000023721573,"teacher_disagreement_score":0.43440077,"about_ca_system_score_codex":0.000013287776,"about_ca_system_score_gemma":0.00017489107,"threshold_uncertainty_score":0.34702966},"labels":[],"label_agreement":null},{"id":"W3127235909","doi":"10.1021/acs.jproteome.0c00775","title":"Confident Identification of Citrullination and Carbamylation Assisted by Peptide Retention Time Prediction","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deamidation; Chemistry; Citrullination; Chromatography; Peptide; Mass spectrometry; Hydrophilic interaction chromatography; Citrulline; Arginine; Asparagine; Hydrogen–deuterium exchange; High-performance liquid chromatography; Biochemistry; Amino acid; Enzyme","score_opus":0.03925654251946654,"score_gpt":0.35218150877479265,"score_spread":0.3129249662553261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127235909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390777,0.0006968412,0.05792098,0.00081674696,0.000025219402,0.00036521276,0.000077772325,0.000024727435,0.0009948036],"genre_scores_gemma":[0.98773724,0.00072091835,0.00848546,0.0000027624712,0.00010694755,0.00006799788,0.000098873614,0.000017359755,0.0027624557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818885,0.00010509614,0.00071783096,0.00017673524,0.00067169894,0.0001397647],"domain_scores_gemma":[0.9971584,0.00009108034,0.00060308166,0.00020752069,0.0018675841,0.00007229782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015616268,0.000074402495,0.00016728365,0.00016748783,0.00012663452,0.00006012804,0.00012039022,0.00012744442,0.00014195991],"category_scores_gemma":[0.00040346567,0.000075535085,0.000064500964,0.00032830558,0.00009080126,0.00027223487,0.000049398484,0.00041171696,0.0000034739255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042361084,0.00008491795,0.0006113779,0.00012288183,0.000022857834,0.0000020949883,0.000059040976,0.000010492483,0.9952329,0.00035969407,0.00049225445,0.0029591313],"study_design_scores_gemma":[0.000367306,0.000068802176,0.0027119173,0.00015434432,0.000020516987,0.00006830284,0.00012133281,0.001739961,0.98701197,0.0063090287,0.0013648154,0.00006172063],"about_ca_topic_score_codex":0.000009836818,"about_ca_topic_score_gemma":7.3863924e-7,"teacher_disagreement_score":0.04943552,"about_ca_system_score_codex":0.00017610501,"about_ca_system_score_gemma":0.00012255966,"threshold_uncertainty_score":0.30802312},"labels":[],"label_agreement":null},{"id":"W3128300220","doi":"10.1093/clinchem/hvaa324","title":"Development of an LC-MS/MS Proposed Candidate Reference Method for the Standardization of Analytical Methods to Measure Lipoprotein(a)","year":2020,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Measure (data warehouse); Standardization; Chromatography; Chemistry; Computer science; Data mining","score_opus":0.1202404099376196,"score_gpt":0.4661616628776726,"score_spread":0.345921252940053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128300220","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03631538,0.000025227097,0.9608644,0.00090330944,0.000007691024,0.00045813038,0.00013835366,0.00006483353,0.001222664],"genre_scores_gemma":[0.10922134,0.000009291804,0.8901595,0.000106115636,0.00011649006,0.00019183445,0.000070802795,0.000024410498,0.00010023092],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99811625,0.000041454732,0.0009739233,0.00045096502,0.00023685972,0.00018054004],"domain_scores_gemma":[0.99803346,0.00044310515,0.00037443443,0.00055840414,0.00036293516,0.00022766225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012515836,0.0001631125,0.00042824258,0.0000071937375,0.000090925816,0.0000129896125,0.0005088597,0.00023870128,0.00012973203],"category_scores_gemma":[0.0016036483,0.00012573686,0.00012976422,0.00019128059,0.000109958775,0.00003408707,0.00013854,0.00031713917,7.3464037e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005030334,0.0001533267,0.00011113711,0.00051919447,0.00010408555,3.2823402e-7,0.0001659052,0.00023321013,0.8661183,0.0005124773,0.00016997429,0.13140903],"study_design_scores_gemma":[0.0003563564,0.00004356446,0.000016053385,0.000051374154,0.00006396743,5.8495544e-7,0.00007668488,0.009096695,0.94640994,0.00055945024,0.043174993,0.00015031865],"about_ca_topic_score_codex":0.0000056990925,"about_ca_topic_score_gemma":0.0000025391191,"teacher_disagreement_score":0.13125871,"about_ca_system_score_codex":0.00004255424,"about_ca_system_score_gemma":0.00028411456,"threshold_uncertainty_score":0.51274},"labels":[],"label_agreement":null},{"id":"W3129284683","doi":"10.1158/1538-7445.sabcs20-ps18-06","title":"Abstract PS18-06: Proteomic analysis of breast cancer formalin-fixed paraffin-embedded clinical specimens identifies biologically-important subtypes with distinct clinical outcomes","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; Centre for Advancing Health Outcomes","funders":"","keywords":"Breast cancer; Multiplex; Proteomics; Biomarker discovery; Oncology; Cancer; Biomarker; Fold change; Medicine; Internal medicine; Computational biology; Biology; Pathology; Bioinformatics; Cancer research; Gene expression; Gene; Genetics","score_opus":0.10837667249053547,"score_gpt":0.47533726798496395,"score_spread":0.3669605954944285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129284683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954955,0.00039699726,0.0005669755,0.0012325095,0.0000441435,0.00048638496,0.0011453658,0.00010973592,0.0005223794],"genre_scores_gemma":[0.98882204,0.0030731398,0.005125121,0.000060367864,0.00024461673,0.0011171007,0.00023272935,0.000044053584,0.0012808443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958621,0.00014646038,0.0016425131,0.0009906845,0.0006672007,0.0006909961],"domain_scores_gemma":[0.99613565,0.0007819873,0.0006118928,0.0011501269,0.0010357703,0.00028454544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016838319,0.00029735925,0.0010804594,0.0001589012,0.0002418868,0.000084666484,0.00066558743,0.00034515923,0.0035753644],"category_scores_gemma":[0.00034835874,0.00021675015,0.00049763906,0.0011714658,0.000910696,0.00012297608,0.00033971612,0.001199539,0.000019324385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004709112,0.0005392926,0.8657841,0.00012839655,0.0016601529,0.000049574854,0.000034213237,0.00007024405,0.1281194,0.0008036484,0.00044554606,0.0018945144],"study_design_scores_gemma":[0.000992093,0.00007465465,0.80584246,0.0001805055,0.00051378197,0.000007261112,0.00016534716,0.0002003078,0.18908635,0.0013375073,0.0011351522,0.00046454728],"about_ca_topic_score_codex":0.00048101952,"about_ca_topic_score_gemma":0.0014524834,"teacher_disagreement_score":0.060966957,"about_ca_system_score_codex":0.0001792665,"about_ca_system_score_gemma":0.00078459154,"threshold_uncertainty_score":0.9973355},"labels":[],"label_agreement":null},{"id":"W3131386869","doi":"10.1016/j.ab.2021.114137","title":"Optimization of cysteine residue alkylation using an on-line LC-MS strategy: Benefits of using a cocktail of haloacetamide reagents","year":2021,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University; Atlantic Cancer Research Institute; Dalhousie University","funders":"Atlantic Canada Opportunities Agency","keywords":"Alkylation; Reagent; Chemistry; Iodoacetic acid; Iodoacetamide; Cysteine; Residue (chemistry); Yield (engineering); Organic chemistry; Combinatorial chemistry; Chromatography; Catalysis; Enzyme","score_opus":0.06126852280154883,"score_gpt":0.3338062399016989,"score_spread":0.27253771710015007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131386869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9476514,0.00012309197,0.050746325,0.00002657457,0.000004409165,0.000065193264,0.00017869273,0.00002398021,0.0011803228],"genre_scores_gemma":[0.9343785,0.000047826106,0.06504174,0.000008792638,0.000048523714,0.00000354922,0.0003365047,0.000022055514,0.000112503854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986107,0.00001308766,0.0006356602,0.00033647986,0.00024713046,0.00015695638],"domain_scores_gemma":[0.9984268,0.00004908038,0.00043014134,0.0005766367,0.00043201997,0.000085354804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009945083,0.00016050998,0.00033873608,0.00003850668,0.00004332058,0.000009015969,0.00015490562,0.00022327334,0.0001365935],"category_scores_gemma":[0.00013386937,0.00017639753,0.00010325542,0.00032755933,0.00011623428,0.0000674379,0.00006557546,0.00014252779,2.3700498e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036961806,0.00022963592,0.00042887946,0.00022167711,0.00003435798,0.0000014737878,0.000006735201,0.28395283,0.7143535,0.0005291368,0.000002355968,0.0002024316],"study_design_scores_gemma":[0.00022386425,0.000028001781,0.000012595358,0.00022701475,0.00008146561,0.0000063630687,0.000048068126,0.26459196,0.73437816,0.00029431266,0.0000018021963,0.00010641716],"about_ca_topic_score_codex":0.000069282745,"about_ca_topic_score_gemma":0.0000024266624,"teacher_disagreement_score":0.020024624,"about_ca_system_score_codex":0.000065937216,"about_ca_system_score_gemma":0.00013879097,"threshold_uncertainty_score":0.7193282},"labels":[],"label_agreement":null},{"id":"W3135806161","doi":"10.1021/acs.jproteome.0c00961","title":"An Update on MRMAssayDB: A Comprehensive Resource for Targeted Proteomics Assays in the Community","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Ministry of Science and Higher Education of the Russian Federation; Jewish General Hospital; Terry Fox Research Institute; European Regional Development Fund; Fundacja na rzecz Nauki Polskiej; European Commission; Genome British Columbia; Skolkovo Institute of Science and Technology; Genome Canada; McGill University","keywords":"Proteomics; Computational biology; Computer science; Annotation; Quantitative proteomics; Resource (disambiguation); Bioinformatics; Biology; Gene; Genetics","score_opus":0.12030839699249055,"score_gpt":0.43251630939167696,"score_spread":0.31220791239918644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135806161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96812594,0.00020974306,0.019745242,0.0073900316,0.000015928836,0.0018294206,0.00010285785,0.0000351233,0.0025457235],"genre_scores_gemma":[0.84400195,0.00015012402,0.15371542,0.0003558334,0.00034174792,0.0011156546,0.000069738046,0.00005977312,0.00018974612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971086,0.0009328758,0.0005763859,0.0002016296,0.00072391203,0.00045661718],"domain_scores_gemma":[0.9965611,0.0009099939,0.00030227317,0.00089652307,0.0012027727,0.00012733355],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0041959947,0.00015479853,0.00030054347,0.00019100525,0.00056738075,0.00013955851,0.0011636014,0.00017022443,0.00005943501],"category_scores_gemma":[0.0007021247,0.000116261996,0.00013981787,0.00056586927,0.00016130568,0.00016357949,0.00014372595,0.0033048666,0.0000045979664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051547034,0.0008467421,0.000108540495,0.0001848222,0.000029752378,0.000053197986,0.00068726315,0.00025463972,0.9899782,0.00410364,0.0015266587,0.0017110935],"study_design_scores_gemma":[0.0012515986,0.0005908529,0.00017012954,0.00024919986,0.000009946459,0.00014533925,0.0039906497,0.00071863044,0.8839447,0.047686294,0.061049327,0.00019332832],"about_ca_topic_score_codex":0.000022606144,"about_ca_topic_score_gemma":0.000014655538,"teacher_disagreement_score":0.13397017,"about_ca_system_score_codex":0.00023085975,"about_ca_system_score_gemma":0.00030956476,"threshold_uncertainty_score":0.9989945},"labels":[],"label_agreement":null},{"id":"W3136924813","doi":"10.1038/s42256-021-00304-3","title":"Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices","year":2021,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrometry; Resolution (logic); DNA sequencing; Computational biology; High resolution; Computer science; Low resolution; Peptide; Deep sequencing; Algorithm; Biology; Chemistry; Genome; Artificial intelligence; Genetics; Remote sensing; Gene; Chromatography; Geography; Biochemistry","score_opus":0.014365339486563884,"score_gpt":0.29907840961216176,"score_spread":0.2847130701255979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136924813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061736006,0.0010034809,0.93409455,0.0010431511,0.000072429095,0.00022346192,0.00021123776,0.00019871458,0.001416979],"genre_scores_gemma":[0.69817406,0.000066922315,0.3001515,0.00041657066,0.00015552118,0.00014905978,0.00037986878,0.00002274098,0.00048376183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985903,0.000016725011,0.00035745229,0.0004576665,0.000254841,0.00032305365],"domain_scores_gemma":[0.9988819,0.00019458751,0.0001769353,0.00031653588,0.00033819687,0.00009187978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001684305,0.00020279818,0.00017417624,0.000049947936,0.0002741555,0.00006368662,0.00032732825,0.00031058272,0.00021366314],"category_scores_gemma":[0.00019085122,0.00021552178,0.000102204416,0.00020185886,0.000049335522,0.0001224509,0.00011675423,0.0006897299,0.0000114541435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013930786,0.00026981212,0.0026912272,0.0004725922,0.00014950927,0.000046615205,0.00029680744,0.077353925,0.38955465,0.47614026,0.0004934022,0.05239191],"study_design_scores_gemma":[0.00020636845,0.000023303372,0.00022079815,0.0001339353,0.00003758911,0.0001454305,0.00013839338,0.06713769,0.8190875,0.1034624,0.009041607,0.00036496134],"about_ca_topic_score_codex":0.000098342105,"about_ca_topic_score_gemma":0.00024888263,"teacher_disagreement_score":0.6364381,"about_ca_system_score_codex":0.00047574274,"about_ca_system_score_gemma":0.00026463883,"threshold_uncertainty_score":0.87887233},"labels":[],"label_agreement":null},{"id":"W3138817412","doi":"10.1038/s41587-021-00860-4","title":"Ultra-fast proteomics with Scanning SWATH","year":2021,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":327,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Berlin University Alliance; Berlin Institute of Health; Universität Innsbruck; Science for Life Laboratory; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; Deutsche Forschungsgemeinschaft; UK Research and Innovation; Wellcome Trust; Francis Crick Institute; Cancer Research UK; Research Councils UK; LifeArc","keywords":"Proteome; Proteomics; Mass spectrometry; Biomarker discovery; Tandem mass spectrometry; Biomarker; Chromatography; Chemistry; Computational biology; Biology; Biochemistry","score_opus":0.004587409265309743,"score_gpt":0.24612582765608493,"score_spread":0.2415384183907752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138817412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6658986,0.0029786762,0.24670237,0.024587456,0.00011834003,0.0007487593,0.00017106716,0.0042758537,0.05451886],"genre_scores_gemma":[0.6660138,0.00016899608,0.33203328,0.00028880005,0.00008875191,0.0001701203,0.000060364364,0.000042402105,0.0011335231],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989558,0.0000044335384,0.00015574972,0.00047965822,0.00010828063,0.00029606928],"domain_scores_gemma":[0.99903405,0.00001954679,0.000103578954,0.0006900369,0.00010557448,0.00004724078],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00003804338,0.00017814952,0.00018780318,0.00005701631,0.00013190677,0.000021512555,0.00030310245,0.0013538897,0.00012012764],"category_scores_gemma":[0.00006295837,0.00015870751,0.000045419703,0.00037164605,0.00015357463,0.000047271264,0.00008042519,0.0016194823,0.000011501842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016522023,0.00004334702,0.00023151208,0.000028008337,0.00001943075,0.000037235815,0.000012381366,0.000009149871,0.9504877,0.04359397,0.0002157022,0.00530505],"study_design_scores_gemma":[0.0002135718,0.000019885356,0.000009545587,0.00004532005,0.00001145218,0.00022898662,0.00008336827,0.000032352782,0.9234772,0.004241064,0.07144159,0.00019568032],"about_ca_topic_score_codex":0.000003613954,"about_ca_topic_score_gemma":0.0000108974145,"teacher_disagreement_score":0.0853309,"about_ca_system_score_codex":0.00007691681,"about_ca_system_score_gemma":0.00009221401,"threshold_uncertainty_score":0.99994254},"labels":[],"label_agreement":null},{"id":"W3139336132","doi":"","title":"A Targeted Multiplexed MALDI MS Assay Platform using Affinity-Bead Assisted Mass Spectrometry (Affi-BAMS) for Monitoring Brain and CSF Biomarkers","year":2020,"lang":"en","type":"article","venue":"PubMed Central","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Mass spectrometry; Chromatography; Bead; Medicine; Computational biology; Chemistry; Biology; Materials science","score_opus":0.040321452210940856,"score_gpt":0.2725573535098088,"score_spread":0.23223590129886795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139336132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8732123,0.00019309336,0.12236604,0.0015153196,0.00014156589,0.0011243912,0.00036754942,0.0005675653,0.0005121975],"genre_scores_gemma":[0.7439646,0.000027429225,0.25469217,0.00009547603,0.0005266756,0.0004720896,0.00011261739,0.0000640329,0.000044915247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975901,0.000014980134,0.0003761388,0.00055559323,0.00019373425,0.0012694149],"domain_scores_gemma":[0.9986764,0.00020891099,0.0002102607,0.00026522283,0.000047941907,0.00059122604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000256813,0.00029932606,0.00031320177,0.000066072615,0.00024473903,0.00011841587,0.00026605427,0.00021545026,0.000044259978],"category_scores_gemma":[0.00047512082,0.00032589547,0.00014162088,0.0003301454,0.00007862165,0.00023021085,0.00009400743,0.00031949487,0.0000012812252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020665869,0.000065561595,0.011813819,0.00017489461,0.00012677349,0.000006417736,0.00014018409,0.00006752526,0.9804333,0.00027273258,0.000182361,0.006509808],"study_design_scores_gemma":[0.0017036413,0.000028974937,0.0065085916,0.00004291711,0.00007169464,0.000013465111,0.00027038052,0.010972895,0.9752997,0.0007215157,0.0038036571,0.0005625668],"about_ca_topic_score_codex":0.000018852457,"about_ca_topic_score_gemma":0.0000032590033,"teacher_disagreement_score":0.13232613,"about_ca_system_score_codex":0.00036308996,"about_ca_system_score_gemma":0.00006483284,"threshold_uncertainty_score":0.9999193},"labels":[],"label_agreement":null},{"id":"W3139635673","doi":"10.1016/j.jprot.2021.104208","title":"Urinary epidermal growth factor is a novel biomarker for early diagnosis of antibody mediated kidney allograft rejection: A urinary proteomics analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biomarker; Urinary system; Urine; Medicine; Proteome; Proteomics; Kidney; Renal function; Biomarker discovery; Kidney transplantation; Urology; Internal medicine; Bioinformatics; Biology","score_opus":0.025359470726035505,"score_gpt":0.3120282039871107,"score_spread":0.28666873326107517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139635673","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65718174,0.0001776417,0.3390421,0.0017082607,0.000055788732,0.00065439905,0.001043551,0.000046108176,0.000090422414],"genre_scores_gemma":[0.45238698,0.00076052925,0.5455382,0.00022126861,0.00023292657,0.00047152664,0.00014714913,0.000071751776,0.00016968642],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972299,0.00004188181,0.0014504696,0.00046125735,0.00040266954,0.0004138674],"domain_scores_gemma":[0.99565005,0.0002481545,0.0018096266,0.00056558417,0.0013946433,0.0003319456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038022298,0.00036482344,0.0009032579,0.000392424,0.00017943447,0.000062161576,0.0005002736,0.00038190008,0.00024575833],"category_scores_gemma":[0.0007655977,0.00035674768,0.001003917,0.0010826963,0.00013585885,0.00036389366,0.00018080541,0.00055110897,0.0000015284013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005372191,0.0014487392,0.077224985,0.00041480653,0.0016475326,0.00004516112,0.00020882172,0.000024936713,0.9177241,0.00017400348,0.00041411593,0.00013560445],"study_design_scores_gemma":[0.0019375324,0.00043535576,0.008218599,0.00026026802,0.0009341463,0.00037368003,0.00008632006,0.0012772327,0.98155177,0.0023268429,0.0021194862,0.00047878575],"about_ca_topic_score_codex":0.000033446348,"about_ca_topic_score_gemma":0.0000015645951,"teacher_disagreement_score":0.2064961,"about_ca_system_score_codex":0.00018078508,"about_ca_system_score_gemma":0.0004977938,"threshold_uncertainty_score":0.9998885},"labels":[],"label_agreement":null},{"id":"W3139666623","doi":"10.1101/2021.03.31.437863","title":"MetaProClust-MS1: A tool for clustering metaproteomes using rapid MS1 profiling","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metaproteomics; Microbiome; Profiling (computer programming); Metagenomics; Computational biology; Computer science; Tandem mass spectrometry; Mass spectrometry; Cluster analysis; Data mining; Bioinformatics; Chemistry; Biology; Artificial intelligence; Chromatography","score_opus":0.026146992073874657,"score_gpt":0.2663397922425461,"score_spread":0.24019280016867145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139666623","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47358027,0.002136188,0.51984006,0.00010605521,0.00029807442,0.00231092,0.0006223693,0.0010870867,0.000018949926],"genre_scores_gemma":[0.43024513,0.00022540484,0.56482786,0.000084504936,0.0005585038,0.0037617623,0.0000040996847,0.00027761768,0.000015119126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956418,0.000052214134,0.0010837214,0.001864641,0.0004179402,0.00093966816],"domain_scores_gemma":[0.9955733,0.00011917393,0.0009306628,0.0022634207,0.00086398964,0.00024945743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00066778477,0.00096191315,0.0011424713,0.00021877477,0.0004911474,0.00051863556,0.00095774996,0.0009464797,0.0001264222],"category_scores_gemma":[0.0003687826,0.0011129426,0.0005859095,0.00045207527,0.00012138272,0.00030937273,0.0013159123,0.0012084263,0.0000055950964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038315593,0.00011160703,0.00022041511,0.0022682827,0.0003170183,0.00001482557,0.000008487051,0.0010064313,0.99555266,0.00043051713,0.00001594148,0.000015499434],"study_design_scores_gemma":[0.0004963741,0.000016274716,0.000040354113,0.0007022062,0.00041328146,9.758286e-8,0.00001276479,0.01825174,0.9761052,0.000025860085,0.002662438,0.0012733948],"about_ca_topic_score_codex":0.000032529253,"about_ca_topic_score_gemma":0.0000014166201,"teacher_disagreement_score":0.044987768,"about_ca_system_score_codex":0.00061109435,"about_ca_system_score_gemma":0.0008196409,"threshold_uncertainty_score":0.9991321},"labels":[],"label_agreement":null},{"id":"W3143920339","doi":"10.1111/tpj.15254","title":"Closing the protein gap in plant chronobiology","year":2021,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"School of Natural Sciences, Mathematics, and Engineering, California State University, Bakersfield","keywords":"Diel vertical migration; Proteomics; Proteome; Biology; Transcriptome; Computational biology; Circadian rhythm; Circadian clock; Quantitative proteomics; Bioinformatics; Ecology; Neuroscience; Gene; Gene expression; Genetics","score_opus":0.029154183741269133,"score_gpt":0.2690595713509169,"score_spread":0.23990538760964777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143920339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737274,0.0010914595,0.00667495,0.008882892,0.000051673458,0.00020455815,0.00016230861,0.000052688298,0.009152079],"genre_scores_gemma":[0.9933528,0.0004628367,0.0047591436,0.00027165166,0.00040189305,0.00007581881,0.000042753825,0.0000148441895,0.00061831623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994262,0.000036694455,0.00018885978,0.00009508235,0.00006562804,0.00018756311],"domain_scores_gemma":[0.9995542,0.000078762714,0.00010870007,0.0002112596,0.000019482983,0.000027568054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022268319,0.00007509144,0.00008999693,0.000012196819,0.0002503729,0.00003981514,0.00026259708,0.000052935084,0.00024527474],"category_scores_gemma":[0.000026284017,0.000040542123,0.00003985934,0.00005977538,0.000050423278,0.000026530503,0.00006577272,0.00061770616,0.000009120142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037235277,0.000044234497,0.0003261837,0.000011049303,0.000019884554,0.00009360366,0.00024535132,0.000099235345,0.98457557,0.011010115,0.00093933963,0.0025981832],"study_design_scores_gemma":[0.0003299567,0.000013356001,0.000117500575,0.00018402122,0.000013784675,0.0055214977,0.00041803377,0.00065941474,0.8685281,0.048208922,0.07584429,0.00016107214],"about_ca_topic_score_codex":0.000010018414,"about_ca_topic_score_gemma":0.000031713913,"teacher_disagreement_score":0.116047435,"about_ca_system_score_codex":0.000051349845,"about_ca_system_score_gemma":0.0000726764,"threshold_uncertainty_score":0.26855865},"labels":[],"label_agreement":null},{"id":"W3146842465","doi":"10.1101/2021.04.01.438072","title":"Trapped Ion Mobility Spectrometry Reduces Spectral Complexity in Mass Spectrometry Based Workflow","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Government of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Mass spectrometry; Ion-mobility spectrometry; Chemistry; Context (archaeology); Analyte; Fragmentation (computing); Analytical Chemistry (journal); Ion; Chromatography; Computer science","score_opus":0.024101487618577274,"score_gpt":0.2588535283024471,"score_spread":0.23475204068386984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146842465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445427,0.00076069805,0.05171375,0.00036051727,0.00025314375,0.0008325106,0.0004406359,0.00094954093,0.00014647422],"genre_scores_gemma":[0.6817491,0.00018876813,0.3169472,0.00005909213,0.0003979926,0.00051032857,0.0000058438986,0.00013601944,0.0000056718263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.994987,0.000118993405,0.0010967635,0.00215678,0.0005752627,0.001065196],"domain_scores_gemma":[0.9959219,0.00012802528,0.0006575357,0.002647607,0.00028036447,0.0003645772],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006750804,0.0009498762,0.001156184,0.00049800816,0.00020471647,0.00032955722,0.0011621382,0.0010239969,0.0009661047],"category_scores_gemma":[0.00019878977,0.0011688145,0.00043966834,0.0016348894,0.00032694355,0.00019194346,0.00043508815,0.0026638517,0.000017100232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060752827,0.0006429835,0.0063402453,0.00053548574,0.00007175299,0.00007438611,0.0000044166536,0.00016801467,0.99140817,0.00066177465,0.00002929515,0.0000027528042],"study_design_scores_gemma":[0.0005807882,0.000026530755,0.022128897,0.0005989301,0.00006205108,4.1420588e-8,0.000009790163,0.0013063975,0.973708,0.0002821278,0.00015434607,0.0011421058],"about_ca_topic_score_codex":0.00009631359,"about_ca_topic_score_gemma":0.0000139984495,"teacher_disagreement_score":0.26523346,"about_ca_system_score_codex":0.001491376,"about_ca_system_score_gemma":0.00078498153,"threshold_uncertainty_score":0.99994713},"labels":[],"label_agreement":null},{"id":"W3148165551","doi":"10.1101/2021.03.29.437612","title":"Ultra-sensitive isotope probing to quantify activity and substrate assimilation in microbiomes","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institutes of Health; Canada First Research Excellence Fund; National Institute of Food and Agriculture; Novo Nordisk Fonden; National Institute of General Medical Sciences; Novo Nordisk; U.S. Department of Agriculture; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Foundation for Food and Agriculture Research; University of Calgary; National Science Foundation","keywords":"Stable-isotope probing; Metaproteomics; Microbiome; Isotope; Isotopic labeling; Biology; Biogeochemical cycle; Stable isotope ratio; Metagenomics; Computational biology; Chemistry; Bioinformatics; Bacteria; Biochemistry; Genetics; Ecology; Gene","score_opus":0.016328049178411023,"score_gpt":0.2508357661040027,"score_spread":0.2345077169255917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148165551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842761,0.0001362296,0.013943419,0.00028488753,0.00006906213,0.0007408435,0.00023503562,0.00028718438,0.000027199789],"genre_scores_gemma":[0.9663079,0.00021311233,0.03269506,0.00006926414,0.0000901373,0.0005283376,0.0000016736863,0.000089344496,0.000005204979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979082,0.00004380887,0.00039791776,0.0010980832,0.0001458867,0.00040611083],"domain_scores_gemma":[0.9983815,0.00006258024,0.00031102536,0.0008158294,0.00026208212,0.0001669886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025338712,0.00044461194,0.00048352385,0.0001784755,0.00012852714,0.00024256998,0.00023534491,0.0005316638,0.000019059562],"category_scores_gemma":[0.00008270229,0.0005435679,0.000080061465,0.00041895977,0.00007188973,0.00016952647,0.00028610523,0.0008488264,0.0000051917573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022290726,0.00008647525,0.0027832224,0.0003168876,0.000031165204,0.000023765206,0.0000354858,0.00012367484,0.99641186,0.00015070794,0.000007841142,0.000006649004],"study_design_scores_gemma":[0.00018597518,0.000007706067,0.026103422,0.00064616994,0.00002607941,3.9148112e-8,0.0000121815165,0.00024970152,0.971984,0.000004452912,0.00020654242,0.0005736792],"about_ca_topic_score_codex":0.00010515723,"about_ca_topic_score_gemma":0.000022697688,"teacher_disagreement_score":0.024427785,"about_ca_system_score_codex":0.00031513578,"about_ca_system_score_gemma":0.00026185307,"threshold_uncertainty_score":0.99970156},"labels":[],"label_agreement":null},{"id":"W3155102161","doi":"10.3791/62107","title":"Optimized Incorporation of Alkynyl Fatty Acid Analogs for the Detection of Fatty Acylated Proteins using Click Chemistry","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Click chemistry; Fatty acid; Acylation; Chemistry; Biochemistry; Saponification; Free fatty acid receptor; Fatty acid-binding protein; Polyunsaturated fatty acid; Organic chemistry","score_opus":0.041347032985911865,"score_gpt":0.40802331357555494,"score_spread":0.3666762805896431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155102161","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44307694,0.00042379802,0.556139,0.00002549814,0.000026621678,0.00022527002,0.000022995731,0.000011926225,0.00004796387],"genre_scores_gemma":[0.78326035,0.000112341535,0.21638551,0.000013550132,0.00007590462,0.00007430414,0.00001779371,0.000023490842,0.00003676274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985327,0.000027956967,0.0008878228,0.00015588335,0.00025784658,0.00013777502],"domain_scores_gemma":[0.997239,0.00006513035,0.0016989516,0.00029094634,0.0006507083,0.000055251112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024140926,0.00014950313,0.00038096894,0.000036819303,0.00011600991,0.00001925373,0.00021423763,0.00014960689,0.00009483398],"category_scores_gemma":[0.00013143335,0.00012210738,0.0002455096,0.00020615851,0.00007288113,0.00014135081,0.000063127256,0.00018708885,1.4184955e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047800722,0.00024746943,0.000063014035,0.00010151408,0.00014172996,0.0000013273961,0.0001277407,0.00036554298,0.997407,0.000031047253,0.0000048811053,0.0010307175],"study_design_scores_gemma":[0.0020158787,0.000053536056,0.000012151581,0.00012448273,0.00007912357,0.00003828457,0.00035114586,0.005125492,0.9914239,0.0004722671,0.00019652864,0.00010717587],"about_ca_topic_score_codex":0.000015516694,"about_ca_topic_score_gemma":4.326371e-7,"teacher_disagreement_score":0.3401834,"about_ca_system_score_codex":0.00012390333,"about_ca_system_score_gemma":0.000135257,"threshold_uncertainty_score":0.4979394},"labels":[],"label_agreement":null},{"id":"W3156488381","doi":"10.1101/2021.04.19.440388","title":"Enhanced longitudinal differential expression detection in proteomics with robust reproducibility optimization regression","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Turun yliopiston tutkijakoulu; European Regional Development Fund; National Institutes of Health; Biocenter Finland; Turun Yliopisto; Fundacja na rzecz Nauki Polskiej; European Commission","keywords":"Ranking (information retrieval); Computer science; Proteomics; Reproducibility; Differential (mechanical device); Expression (computer science); Data mining; Missing data; Protein expression; Regression; Artificial intelligence; Machine learning; Statistics; Biology; Mathematics; Engineering","score_opus":0.015644608846538524,"score_gpt":0.23655610650626616,"score_spread":0.22091149765972762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156488381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55231375,0.00007879377,0.44652915,0.000025206646,0.000081415965,0.00062355644,0.0000326147,0.00031033807,0.0000051922093],"genre_scores_gemma":[0.7898251,0.00017160403,0.20809075,0.0000065432373,0.0002263575,0.0015581383,0.0000042099473,0.00011290176,0.000004440501],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99572563,0.000079175974,0.0006992233,0.0026757387,0.0003703536,0.0004498916],"domain_scores_gemma":[0.99533266,0.00003072622,0.00075340475,0.0032199793,0.00050889543,0.00015435477],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038305155,0.00060726557,0.00059852976,0.00015543948,0.00026804217,0.00026742803,0.00043798686,0.00078646,0.00012310695],"category_scores_gemma":[0.00025627323,0.0005841976,0.00012138991,0.00044882327,0.00012859139,0.000246666,0.00058888056,0.0013499011,0.0000017140336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017297358,0.00026975,0.0020054076,0.00049578666,0.000021541176,0.000012965917,0.000010891497,0.028675932,0.9683151,0.000009934472,0.0000019116571,0.000007800692],"study_design_scores_gemma":[0.0004916343,0.000024009454,0.0029227943,0.0016828696,0.000044837958,4.348226e-8,0.0000055376236,0.010803939,0.9833525,0.000003051092,0.000012462668,0.00065632164],"about_ca_topic_score_codex":0.000053903834,"about_ca_topic_score_gemma":0.000014831837,"teacher_disagreement_score":0.2384384,"about_ca_system_score_codex":0.0006127557,"about_ca_system_score_gemma":0.00036873738,"threshold_uncertainty_score":0.99966097},"labels":[],"label_agreement":null},{"id":"W3156500148","doi":"10.1039/d1cb00055a","title":"Optical chemosensors for the detection of proximally phosphorylated peptides and proteins","year":2021,"lang":"en","type":"review","venue":"RSC Chemical Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Celiac Association; University of Toronto","funders":"Connaught Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Phosphorylation; Posttranslational modification; Protein phosphorylation; Computational biology; Chemistry; Cell biology; Biophysics; Biology; Biochemistry; Protein kinase A","score_opus":0.026878065216279223,"score_gpt":0.32097881446462134,"score_spread":0.2941007492483421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156500148","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034298273,0.99054146,0.0075120735,0.00006102545,0.000013123647,0.0011324693,0.00013694368,0.000076367265,0.00018356313],"genre_scores_gemma":[0.0008689368,0.97237796,0.023922885,0.00000972947,0.000116842326,0.002341083,0.00022987043,0.000043478074,0.00008922205],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878186,0.0000119386605,0.0004789544,0.0004544903,0.000045880308,0.00022684936],"domain_scores_gemma":[0.99867773,0.000501223,0.00028957517,0.00038223102,0.000097319535,0.000051947613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094689894,0.0002697213,0.0008861302,0.000018298704,0.0000627016,0.0000101956875,0.0002441275,0.0006933329,0.000027330188],"category_scores_gemma":[0.00027521388,0.00018136518,0.00029245784,0.0001199219,0.00030864985,0.000011438203,0.0001534657,0.00042726196,0.000001245284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009100811,0.00002953454,2.657909e-7,0.00253893,0.000071994815,2.3091279e-7,0.0000032349674,2.4509971e-8,0.37845013,0.0016528107,0.000006222583,0.6172375],"study_design_scores_gemma":[0.000080959755,0.000017851042,1.929683e-8,0.00062035996,0.0001839185,0.000028082106,0.0000043317564,0.000015673108,0.53180915,0.00088977173,0.46620142,0.00014845101],"about_ca_topic_score_codex":0.000004429043,"about_ca_topic_score_gemma":5.7794904e-7,"teacher_disagreement_score":0.6170891,"about_ca_system_score_codex":0.000057084715,"about_ca_system_score_gemma":0.0000916504,"threshold_uncertainty_score":0.7395857},"labels":[],"label_agreement":null},{"id":"W3159249508","doi":"10.1007/978-1-0716-1024-4_25","title":"Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Warren Y. Soper Charitable Trust; Jewish General Hospital; Terry Fox Research Institute; Fondation De Famille Alvin Segal; Genome Canada; McGill University","keywords":"Chromatography; Sample preparation; Quantitative proteomics; Chemistry; Standard curve; Calibration curve; Tandem mass spectrometry; Isotope dilution; Bioanalysis; Mass spectrometry; Extraction (chemistry); Sample (material); Protocol (science); Proteomics; Detection limit; Biochemistry","score_opus":0.04208739124625076,"score_gpt":0.43063788429006095,"score_spread":0.3885504930438102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159249508","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028342627,0.00026071913,0.96912634,0.0003055802,0.000029740497,0.00065959076,0.000022743425,0.00003872419,0.0012139092],"genre_scores_gemma":[0.001771323,0.000048461898,0.9948208,0.0001468734,0.000019403718,0.00292568,0.00006305262,0.000035351957,0.0001691086],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980782,0.000556172,0.00041736496,0.0005418389,0.000048674214,0.00035771728],"domain_scores_gemma":[0.9984128,0.0008103672,0.00014762279,0.0005136719,0.00008308738,0.000032439315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001748447,0.00019150038,0.00035186918,0.000069818794,0.000091142785,0.000016965114,0.00035056315,0.0002903849,0.00002044693],"category_scores_gemma":[0.0008506097,0.0001584429,0.00011928508,0.00032559788,0.000102705475,0.000027033586,0.00017210082,0.00054723903,6.4860257e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046310135,0.00004839467,0.00038462618,0.00004996315,0.000019032643,0.0000030280466,0.00021079292,0.00024080616,0.9017656,0.08487232,0.0000025708973,0.012356587],"study_design_scores_gemma":[0.00048015383,0.000022766739,0.000006933189,0.0000162427,0.0000131156685,0.000018672037,0.00047902056,0.048455946,0.85213685,0.09667005,0.0015233791,0.00017686836],"about_ca_topic_score_codex":0.000015554238,"about_ca_topic_score_gemma":0.000018673345,"teacher_disagreement_score":0.049628712,"about_ca_system_score_codex":0.000089061105,"about_ca_system_score_gemma":0.00009291569,"threshold_uncertainty_score":0.64611137},"labels":[],"label_agreement":null},{"id":"W3159626357","doi":"10.1007/978-1-0716-1024-4_31","title":"Automated Workflow for Peptide-Level Quantitation from DIA/SWATH-MS Data","year":2021,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Workflow; Computer science; Software; Data mining; Database; Operating system","score_opus":0.107884331731283,"score_gpt":0.4418758024784452,"score_spread":0.3339914707471622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159626357","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004032338,0.0015464679,0.97319514,0.00016877617,0.000094290976,0.00041369337,0.0026547054,0.00029273535,0.021593885],"genre_scores_gemma":[0.00001853999,0.0004141886,0.9657348,0.00018254467,0.00011821631,0.00035032092,0.018424662,0.00011448674,0.0146422405],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786264,0.00009170875,0.00059237046,0.0010927249,0.00007385133,0.00028669983],"domain_scores_gemma":[0.9971941,0.0005829394,0.000300925,0.001753612,0.000112982816,0.00005544072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000495081,0.00037318308,0.00061559584,0.00009535476,0.0000611718,0.000025696745,0.0008231354,0.0010793807,0.00029003804],"category_scores_gemma":[0.0004684853,0.00040986144,0.0001564646,0.000054387667,0.00012468333,0.00003124702,0.0005088373,0.000533161,0.00000796601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022097693,0.000025234354,0.000010335811,0.00006303703,0.000115409246,0.000014992232,0.000014055531,0.000019637357,0.7981342,0.15831192,0.00036879294,0.042900305],"study_design_scores_gemma":[0.00035179636,0.000022548546,0.0000023487173,0.00021712456,0.000105491716,0.0000048505353,0.000007618817,0.005746111,0.25533065,0.49560297,0.24202317,0.0005853434],"about_ca_topic_score_codex":0.00007469333,"about_ca_topic_score_gemma":0.00005916982,"teacher_disagreement_score":0.5428035,"about_ca_system_score_codex":0.00008984036,"about_ca_system_score_gemma":0.00009846689,"threshold_uncertainty_score":0.9998353},"labels":[],"label_agreement":null},{"id":"W3161228014","doi":"10.1101/2020.11.07.372276","title":"Library-free BoxCarDIA solves the missing value problem in label-free quantitative proteomics","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quantitative proteomics; Proteomics; Label-free quantification; Computer science; Workflow; Interactome; Computational biology; Replicate; Data acquisition; Instrumentation (computer programming); Data mining; Biology; Mathematics; Statistics","score_opus":0.021249190240417465,"score_gpt":0.24963578119417432,"score_spread":0.22838659095375685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161228014","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7060472,0.009405893,0.19145373,0.057636295,0.000831575,0.014682374,0.008218438,0.008752534,0.0029719854],"genre_scores_gemma":[0.19714892,0.0006307747,0.7979911,0.0005027512,0.0004423915,0.002906587,0.0000031229733,0.0003554449,0.000018934346],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99656165,0.00010757409,0.0008718399,0.0013690583,0.00040317207,0.00068671105],"domain_scores_gemma":[0.9952466,0.00018695112,0.0007488573,0.0033870141,0.00017559722,0.0002550131],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038376084,0.0007646388,0.0007537155,0.00013573655,0.00029976456,0.00043554645,0.0028845244,0.00071441545,0.000050048326],"category_scores_gemma":[0.00050436077,0.0007206412,0.00022486388,0.0006546106,0.00027217812,0.0003303872,0.0029408273,0.0022170702,0.000021855234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007081433,0.00016486643,0.0014115192,0.0009586478,0.00013997474,0.000034112512,0.000057973917,0.0002121206,0.94330907,0.051823422,0.0018114151,0.0000060436564],"study_design_scores_gemma":[0.0008861403,0.000035422316,0.0008742128,0.0011624389,0.00010883431,3.646964e-8,0.000017521796,0.0027485623,0.9757404,0.007918325,0.009297762,0.0012103878],"about_ca_topic_score_codex":0.00006257057,"about_ca_topic_score_gemma":0.0000021715157,"teacher_disagreement_score":0.60653734,"about_ca_system_score_codex":0.0002577477,"about_ca_system_score_gemma":0.0007760997,"threshold_uncertainty_score":0.9995245},"labels":[],"label_agreement":null},{"id":"W3164429960","doi":"10.1002/mas.21706","title":"Recent advances in top‐down proteome sample processing ahead of MS analysis","year":2021,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Energy; Dalhousie University","funders":"","keywords":"Proteomics; Proteome; Workflow; Computational biology; Chemistry; Characterization (materials science); Function (biology); Human proteome project; Nanotechnology; Computer science; Biology; Biochemistry; Gene; Cell biology","score_opus":0.0470802010112216,"score_gpt":0.3770227709471039,"score_spread":0.3299425699358823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164429960","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000014418017,0.96219,0.0319504,0.00003219529,0.000017443743,0.0015289047,0.00019599414,0.000078101504,0.0040055695],"genre_scores_gemma":[7.336315e-7,0.8300608,0.16650532,0.0000099442905,0.00011233061,0.0023902992,0.00060953427,0.00006431972,0.00024672903],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956247,0.00013694035,0.002321382,0.0010636431,0.00032910367,0.0005241819],"domain_scores_gemma":[0.99618137,0.00016680837,0.002019136,0.001397569,0.00011955515,0.000115572475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065350154,0.00069120503,0.005141443,0.00071202195,0.00007669364,0.000057043464,0.000776741,0.00038952427,0.0023658336],"category_scores_gemma":[0.00042949838,0.0005786474,0.001311238,0.006934951,0.000076891214,0.00017026217,0.0001678429,0.0009108369,0.000015577423],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015750641,0.00010565057,0.000046788053,0.032037668,0.000108508146,0.000003604803,0.000007571948,0.0000021512558,0.00016524048,0.000237211,0.000023428256,0.9672606],"study_design_scores_gemma":[0.000068941335,0.000015476135,4.485422e-7,0.01484088,0.0013169547,0.000007306484,0.000007618368,0.0000084848,0.00081917486,0.0008061791,0.9815827,0.00052584184],"about_ca_topic_score_codex":0.0000129304235,"about_ca_topic_score_gemma":0.000027183194,"teacher_disagreement_score":0.9815593,"about_ca_system_score_codex":0.00052831904,"about_ca_system_score_gemma":0.00022737731,"threshold_uncertainty_score":0.9996665},"labels":[],"label_agreement":null},{"id":"W3164624346","doi":"10.1038/s41540-021-00184-8","title":"Proteotyping of knockout mouse strains reveals sex- and strain-specific signatures in blood plasma","year":2021,"lang":"en","type":"article","venue":"npj Systems Biology and Applications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; Toronto Centre for Phenogenomics; Hospital for Sick Children; Lunenfeld-Tanenbaum Research Institute; McGill University; University of Victoria","funders":"National Human Genome Research Institute; National Institutes of Health; Ministry of Science and Higher Education of the Russian Federation; Genome Canada; Ontario Genomics; Skolkovo Institute of Science and Technology; Genome British Columbia; University of Victoria","keywords":"Knockout mouse; Gene knockout; Proteome; Proteomics; Biology; Gene; Phenotype; Blood proteins; Molecular biology; Genetics; Biochemistry","score_opus":0.014923447990118178,"score_gpt":0.2734544699431699,"score_spread":0.2585310219530517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164624346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749776,0.0038640143,0.014818781,0.00023146198,0.000012741937,0.0010784857,0.0007493289,0.00012374525,0.0041438043],"genre_scores_gemma":[0.98972577,0.00089140143,0.006762098,0.000018019791,0.00007603599,0.0015273729,0.00010981405,0.0000153057,0.00087418634],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999003,0.000029900491,0.00036444963,0.00039175994,0.000039552826,0.00017137213],"domain_scores_gemma":[0.99928504,0.00009134922,0.00015989086,0.00033245448,0.000062992935,0.00006825646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001209254,0.00013445754,0.0002552234,0.000045566387,0.00011679173,0.000016563472,0.00011280123,0.00025989872,0.000024884674],"category_scores_gemma":[0.00001792699,0.00013480829,0.00002716827,0.00013637805,0.00015734062,0.00003170496,0.00006303662,0.0002332108,8.951277e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027957333,0.0000680118,0.001726752,0.00015642635,0.000017074646,5.871048e-7,0.00005878005,0.000026680465,0.8406508,0.15524417,0.000021935315,0.0020259803],"study_design_scores_gemma":[0.001443349,0.000050877097,0.0020327154,0.00030686444,0.00005373809,0.00010765376,0.0015161062,0.00039683527,0.90075994,0.039093953,0.0535313,0.00070667296],"about_ca_topic_score_codex":0.00001989493,"about_ca_topic_score_gemma":0.000013723621,"teacher_disagreement_score":0.116150215,"about_ca_system_score_codex":0.000013389064,"about_ca_system_score_gemma":0.000037399946,"threshold_uncertainty_score":0.5497322},"labels":[],"label_agreement":null},{"id":"W3165074360","doi":"10.15252/msb.20209536","title":"From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions","year":2021,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; European Research Council; National Institutes of Health; SystemsX.ch; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; European Commission; National Research Foundation of Korea; Howard Hughes Medical Institute","keywords":"Biology; Proteome; Escherichia coli; Computational biology; Microbiology; Biochemistry; Gene","score_opus":0.013169848584422618,"score_gpt":0.27404954185547586,"score_spread":0.26087969327105326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165074360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7311111,0.00034603733,0.26160762,0.0025345564,0.00014205345,0.00063478365,0.00074065337,0.00018827563,0.0026949185],"genre_scores_gemma":[0.9877687,0.000013711903,0.008421431,0.00070944574,0.00016106326,0.0014421358,0.00045614457,0.000031038613,0.0009963029],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989555,0.000067989036,0.00025085465,0.00039934038,0.00007611118,0.00025021346],"domain_scores_gemma":[0.9989759,0.000056622233,0.00010634917,0.00062427676,0.00014604618,0.000090843845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062618055,0.00016301502,0.00021212791,0.000021232872,0.00018245782,0.00003845999,0.00029727502,0.00018285151,0.00022103761],"category_scores_gemma":[0.000054080465,0.00013495628,0.000085390995,0.00019143533,0.000093392504,0.000022584796,0.00020043596,0.00020501442,0.000109704844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053539256,0.000031314117,0.00005259572,0.000015411173,0.000056439887,0.000021163745,0.000042625674,0.00012808487,0.9653965,0.03314744,0.0010675859,0.000035437202],"study_design_scores_gemma":[0.00041044576,0.00003212128,0.00009886724,0.00006398234,0.00006086868,0.000028961344,0.00047863458,0.00045725118,0.93033606,0.018190209,0.049440637,0.00040197666],"about_ca_topic_score_codex":0.00055621477,"about_ca_topic_score_gemma":0.000033390617,"teacher_disagreement_score":0.2566576,"about_ca_system_score_codex":0.000063359905,"about_ca_system_score_gemma":0.00006592249,"threshold_uncertainty_score":0.55033576},"labels":[],"label_agreement":null},{"id":"W3167933346","doi":"10.1021/acs.jproteome.0c01029","title":"MSTracer: A Machine Learning Software Tool for Peptide Feature Detection from Liquid Chromatography–Mass Spectrometry Data","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Genomics; Genome Canada","keywords":"Software; Proteomics; Mass spectrometry; Peptide; Computer science; Feature (linguistics); Tandem mass spectrometry; Chromatography; Liquid chromatography–mass spectrometry; Artificial intelligence; Data mining; Pattern recognition (psychology); Chemistry","score_opus":0.04879872500544031,"score_gpt":0.36678381786528047,"score_spread":0.31798509285984017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167933346","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36900684,0.003066875,0.6247832,0.0015057897,0.000047305395,0.0006631619,0.0005692402,0.00012018083,0.00023740921],"genre_scores_gemma":[0.2091041,0.0011601766,0.78676814,0.000015023939,0.0010610556,0.00021320164,0.00027436044,0.00008206732,0.0013218988],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977807,0.00009947349,0.00047267083,0.00044535284,0.0007394202,0.00046239462],"domain_scores_gemma":[0.99729234,0.00044186265,0.0003753582,0.0008175398,0.0009161351,0.00015678628],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001342306,0.00017734387,0.00033714256,0.00026034922,0.00041697334,0.00016226733,0.00084171764,0.0002383287,0.0003584409],"category_scores_gemma":[0.0016469251,0.00016574663,0.00020394406,0.0007011652,0.00008247265,0.00036795865,0.00033163468,0.002310911,0.000005997296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037215863,0.000093846575,0.00050065824,0.00017264603,0.00010789772,0.000048665268,0.000026359887,0.000026571322,0.99403846,0.000026266009,0.0004930117,0.0040934295],"study_design_scores_gemma":[0.0006873486,0.00030193283,0.000078149045,0.00024049632,0.00003289162,0.00016592376,0.00013555831,0.00079512864,0.95314884,0.0055750655,0.038643874,0.00019477568],"about_ca_topic_score_codex":0.000025850908,"about_ca_topic_score_gemma":0.000015723837,"teacher_disagreement_score":0.1619849,"about_ca_system_score_codex":0.00019127193,"about_ca_system_score_gemma":0.0002932711,"threshold_uncertainty_score":0.9999908},"labels":[],"label_agreement":null},{"id":"W3169435665","doi":"10.1016/j.talanta.2021.122568","title":"Comparison of different digestion methods for proteomic analysis of isolated cells and FFPE tissue samples","year":2021,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundacja na rzecz Nauki Polskiej","keywords":"Chemistry; Digestion (alchemy); Chromatography; Computational biology","score_opus":0.0348914451767389,"score_gpt":0.39134672897546247,"score_spread":0.35645528379872354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169435665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66640055,0.00009561028,0.33307517,0.000022580578,0.0000036988768,0.000139278,0.00016574979,0.00002027304,0.000077092154],"genre_scores_gemma":[0.84803903,0.00008258344,0.15140362,0.0000022349825,0.000007167055,0.00008704351,0.00024293404,0.000008759714,0.00012660174],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941474,0.000014952732,0.00027249148,0.00017253312,0.00004237613,0.00008287918],"domain_scores_gemma":[0.999344,0.00012612419,0.00019961184,0.00023284639,0.000070235095,0.00002720262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051982508,0.00008198992,0.00035277326,0.000043984503,0.00003174639,0.0000062146296,0.000069105256,0.0000697929,0.0000680741],"category_scores_gemma":[0.000022718581,0.00007697368,0.000065297674,0.00015996338,0.00003607442,0.000017507551,0.000047268426,0.00005747292,1.18225e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022936492,0.00008636013,0.0045881807,0.00012676767,0.00012731427,6.980598e-8,0.00009257056,0.0000424564,0.9880594,0.0005890071,0.000013312345,0.006251606],"study_design_scores_gemma":[0.0001209753,0.000024338808,0.0006872127,0.000025637532,0.00036458048,6.7568305e-7,0.00004796779,0.008209241,0.98873496,0.0013631374,0.00034559602,0.00007566551],"about_ca_topic_score_codex":0.000023594595,"about_ca_topic_score_gemma":0.000009266193,"teacher_disagreement_score":0.18167154,"about_ca_system_score_codex":0.000013787369,"about_ca_system_score_gemma":0.00000996518,"threshold_uncertainty_score":0.31388956},"labels":[],"label_agreement":null},{"id":"W3173569745","doi":"10.1016/j.cell.2021.06.003","title":"An atlas of protein-protein interactions across mouse tissues","year":2021,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Health and Medical Research Council; University of British Columbia; University of Melbourne; Genome Canada; Canadian Institutes of Health Research; Genome British Columbia","keywords":"Interactome; Biology; Computational biology; Proteome; Proteomics; Protein–protein interaction; Human proteome project; Systems biology; Human Protein Atlas; Genetics; Gene; Protein expression","score_opus":0.013721154421803907,"score_gpt":0.3159996922666536,"score_spread":0.3022785378448497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173569745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97576004,0.00009257081,0.013113843,0.00008227081,0.0000073898714,0.00015266292,0.00009142092,0.00013137712,0.010568426],"genre_scores_gemma":[0.920673,0.000014802125,0.052122008,0.00001108107,0.00005507435,0.000240132,0.00007405961,0.000023125463,0.026786678],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993866,0.0000074892823,0.00017763644,0.00021497824,0.00006955278,0.00014374993],"domain_scores_gemma":[0.99920934,0.000009677497,0.000098143515,0.00052444,0.00010187755,0.00005652238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028111815,0.00008958848,0.000110675195,0.000009074315,0.00008217521,0.000023051214,0.00016235143,0.000061254745,0.0006661452],"category_scores_gemma":[0.0000122016545,0.000097282835,0.000049344264,0.00008104481,0.00004292111,0.00009317384,0.00006607712,0.00015997962,0.000031866693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005490209,0.0001620068,0.000027969214,0.00006857239,0.000003528996,0.000002656016,0.00012048394,0.000013219388,0.9977538,0.00057029235,0.000050618983,0.0012213748],"study_design_scores_gemma":[0.00010014994,0.000010828045,0.0000022534293,0.00003107907,0.0000033224546,0.0000026005644,0.00021881294,0.00005581535,0.95750207,0.002285556,0.039686605,0.00010088232],"about_ca_topic_score_codex":0.000035370904,"about_ca_topic_score_gemma":0.000016498887,"teacher_disagreement_score":0.055087,"about_ca_system_score_codex":0.000026484857,"about_ca_system_score_gemma":0.000027006303,"threshold_uncertainty_score":0.7293823},"labels":[],"label_agreement":null},{"id":"W31737416","doi":"10.1385/cp:2:1:5","title":"Proteomic and genomic technologies for biomarker discovery","year":2006,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Proteomics; Biomarker; Computational biology; Bioinformatics; Data science; Medicine; Biology; Computer science; Genetics","score_opus":0.03393678040176136,"score_gpt":0.3421906406370843,"score_spread":0.308253860235323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31737416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75691473,0.0001470853,0.23865132,0.0009405548,0.00003658722,0.0015041551,0.00013558548,0.000613639,0.0010563693],"genre_scores_gemma":[0.57186633,0.00021277956,0.4239127,0.00006128153,0.00020580218,0.0023504756,0.00006529241,0.00006111395,0.0012642065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982777,0.00001043904,0.0007070391,0.00060021254,0.000071691335,0.00033290125],"domain_scores_gemma":[0.99887246,0.00018387254,0.0002807435,0.0005624089,0.000054528136,0.000046007226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000313054,0.00022770243,0.00033428622,0.00004345283,0.00018753062,0.00008990782,0.00032872515,0.0004022211,0.000010120971],"category_scores_gemma":[0.00021746542,0.00021040646,0.0001680543,0.00007906405,0.00043680306,0.00015788092,0.00022778538,0.0003311434,0.000007635072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002715588,0.00026945595,0.016727591,0.0002097088,0.00003985946,0.0000019966708,0.000004702503,0.000013690678,0.92470026,0.033794176,0.0014815507,0.022485442],"study_design_scores_gemma":[0.0018054049,0.00011194567,0.0026981789,0.00008018575,0.00006143246,0.000018621076,0.000039856666,0.0024881624,0.51225555,0.45339265,0.026305785,0.00074225524],"about_ca_topic_score_codex":0.000016709131,"about_ca_topic_score_gemma":0.0000029246564,"teacher_disagreement_score":0.41959846,"about_ca_system_score_codex":0.00005993424,"about_ca_system_score_gemma":0.00005405969,"threshold_uncertainty_score":0.8580127},"labels":[],"label_agreement":null},{"id":"W3175073006","doi":"10.1021/acs.jproteome.1c00123","title":"DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Boehringer Ingelheim Fonds","keywords":"Pipeline (software); Computer science; Workflow; Data mining; Data acquisition; Software; False discovery rate; Pairwise comparison; Proteomics; Database; Artificial intelligence","score_opus":0.16255353620562116,"score_gpt":0.4374129983407201,"score_spread":0.27485946213509893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175073006","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10153608,0.00064438564,0.8925932,0.0020795695,0.00003591875,0.0011508581,0.0017782422,0.00003247969,0.00014925611],"genre_scores_gemma":[0.100800544,0.0011629186,0.8933019,0.000045525616,0.0011005424,0.00040377537,0.0020893964,0.00006414729,0.0010312651],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99674416,0.00010749547,0.0009471657,0.00080514874,0.0009165573,0.0004794511],"domain_scores_gemma":[0.9946952,0.00042214844,0.000569811,0.0020753092,0.0019788893,0.0002586568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042635025,0.00021236985,0.00052465685,0.00040694888,0.00039394313,0.00024238131,0.0015065527,0.0002348973,0.00023558315],"category_scores_gemma":[0.0013325454,0.00019912169,0.00015754139,0.0007773006,0.00017999503,0.0007061744,0.001635645,0.0010890395,0.0000043603973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000961122,0.0005802391,0.0013321913,0.00045276436,0.0008902008,0.000051829207,0.000096553944,0.00032193508,0.9818491,0.0010268519,0.0022613124,0.010175909],"study_design_scores_gemma":[0.0046275295,0.00022296245,0.0002935827,0.00030789818,0.0010065599,0.0005892105,0.0008748082,0.35686067,0.57211185,0.03377451,0.02857656,0.0007538369],"about_ca_topic_score_codex":0.000027485054,"about_ca_topic_score_gemma":0.000036547724,"teacher_disagreement_score":0.40973723,"about_ca_system_score_codex":0.00022890813,"about_ca_system_score_gemma":0.0006931085,"threshold_uncertainty_score":0.8119947},"labels":[],"label_agreement":null},{"id":"W3175205794","doi":"10.1096/fasebj.2018.32.1_supplement.802.13","title":"High Sensitivity Top‐down Proteomics: Coomassie for In‐gel Proteoform Detection Rivals MS‐based Peptide Detection","year":2018,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Proteome; Proteomics; Mass spectrometry; Coomassie Brilliant Blue; Computational biology; Gel electrophoresis; Chemistry; Human proteome project; Chromatography; Shotgun proteomics; Shotgun; Quantitative proteomics; Detection limit; Gene; Biochemistry; Biology; Staining; Genetics","score_opus":0.014284712759824191,"score_gpt":0.26552339276598674,"score_spread":0.25123868000616256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175205794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55653054,0.000005145843,0.44213337,0.00025660996,0.000052192667,0.0006782226,0.000026278673,0.00008344972,0.00023418054],"genre_scores_gemma":[0.9493175,0.000010863743,0.04868132,0.00009295509,0.0009595297,0.0007107691,0.000007408735,0.00003888694,0.00018076955],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986742,0.000051034698,0.00041268446,0.00026542306,0.00018954811,0.000407079],"domain_scores_gemma":[0.99874705,0.00012258618,0.00040604683,0.00038900084,0.00023918145,0.00009614372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008881283,0.00020861161,0.00020950306,0.00009075044,0.0007841619,0.00009862332,0.00020631922,0.00016900925,0.00007790008],"category_scores_gemma":[0.00016227626,0.00016381557,0.00014161585,0.00018804273,0.00015299625,0.00019479988,0.000047263027,0.0006067,0.000013166851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029055998,0.000054464275,0.00011742791,0.00002772866,0.000013508544,0.0000026082519,0.000052379557,0.00012664338,0.9847797,0.000079837584,0.000024991316,0.014430153],"study_design_scores_gemma":[0.0008208182,0.00014609877,0.00018046552,0.00008381407,0.000026307562,0.00015275068,0.000055218603,0.00846199,0.9780699,0.011004389,0.0007913965,0.00020686904],"about_ca_topic_score_codex":0.00009975258,"about_ca_topic_score_gemma":0.0002972588,"teacher_disagreement_score":0.39345205,"about_ca_system_score_codex":0.00036144725,"about_ca_system_score_gemma":0.000094694,"threshold_uncertainty_score":0.6680205},"labels":[],"label_agreement":null},{"id":"W3175993123","doi":"10.1038/s41467-021-24030-x","title":"Systematic detection of functional proteoform groups from bottom-up proteomic datasets","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"SystemsX.ch; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Computer science; Proteomics; Computational biology; Functional diversity; Coding (social sciences); Biology; Gene; Genetics","score_opus":0.01636192555940285,"score_gpt":0.28506532969713066,"score_spread":0.2687034041377278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175993123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56098515,0.03292085,0.357949,0.0067534638,0.0007435727,0.008550632,0.014528933,0.0022429214,0.015325516],"genre_scores_gemma":[0.93487906,0.00029235397,0.058960974,0.00006815527,0.00005894,0.0017696628,0.0037390955,0.000027363865,0.00020439911],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987805,0.000057669007,0.00051008863,0.00028144152,0.00021670328,0.00015359621],"domain_scores_gemma":[0.9960403,0.00023216527,0.00038045444,0.003009465,0.00027975132,0.00005789251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014871242,0.00015974141,0.00027008003,0.000048823298,0.0003131535,0.000032010474,0.0007919373,0.00036653396,0.00013312038],"category_scores_gemma":[0.00030929918,0.00016096148,0.000113506496,0.0003082391,0.00010443707,0.00016296262,0.00042005323,0.0011366957,0.000019676507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015953487,0.00017333632,0.0001211721,0.0009613204,0.00008360948,5.2087694e-7,0.000055820885,0.0000055704713,0.9860503,0.011878803,0.000321862,0.0003317263],"study_design_scores_gemma":[0.0003359541,0.000008493393,0.00027349303,0.0009317684,0.0001114981,0.00002417665,0.00018043628,0.0011450184,0.9839041,0.009447193,0.0034078336,0.00023000281],"about_ca_topic_score_codex":0.000035667083,"about_ca_topic_score_gemma":0.00015121877,"teacher_disagreement_score":0.37389392,"about_ca_system_score_codex":0.00012048071,"about_ca_system_score_gemma":0.00010674296,"threshold_uncertainty_score":0.6563819},"labels":[],"label_agreement":null},{"id":"W3177382269","doi":"10.12688/f1000research.53364.1","title":"Comparison of two multiplexed technologies for profiling &gt;1,000 serum proteins that may associate with tumor burden","year":2021,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Multiplex; Medicine; Proteomics; Cancer antigen; Antigen; Cancer; Blood proteins; Proteome; Internal medicine; Physiology; Bioinformatics; Immunology; Pathology; Biology; Biochemistry; Gene","score_opus":0.07963505170637401,"score_gpt":0.4110375625810791,"score_spread":0.33140251087470507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177382269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92304254,0.0012930296,0.056042206,0.0021884418,0.00004934583,0.009310314,0.0030158784,0.0021307187,0.0029275436],"genre_scores_gemma":[0.6731476,0.000065218745,0.31680256,0.0000036046688,0.00007378381,0.008189461,0.00043478975,0.000105648185,0.0011773192],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968982,0.00004622789,0.00058767287,0.0009724781,0.00074740616,0.0007480627],"domain_scores_gemma":[0.9967863,0.00029159497,0.00062687334,0.001464998,0.00074387103,0.00008637978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005035764,0.00042866106,0.000870756,0.00018015187,0.00025172308,0.0001563032,0.0013945606,0.0004956023,0.00010784076],"category_scores_gemma":[0.000335939,0.00039369066,0.00021535694,0.00028426573,0.0003344772,0.00008030243,0.0019613407,0.0018331878,0.000002949118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027967707,0.0004410935,0.038095627,0.0043517672,0.00032575254,0.000016960466,0.0003981805,0.0023119599,0.9411854,0.0022308652,0.00023938707,0.010123315],"study_design_scores_gemma":[0.00068225147,0.000069275404,0.000052755277,0.000846616,0.00004179979,0.0000032989997,0.0017718977,0.006521032,0.982833,0.0051382086,0.0016087685,0.0004310451],"about_ca_topic_score_codex":0.00023287474,"about_ca_topic_score_gemma":0.000068038076,"teacher_disagreement_score":0.26076037,"about_ca_system_score_codex":0.00031615174,"about_ca_system_score_gemma":0.00044444407,"threshold_uncertainty_score":0.9998515},"labels":[],"label_agreement":null},{"id":"W3177703586","doi":"10.1021/acs.jproteome.1c00249","title":"Performance Assessment of a 125 Human Plasma Peptide Mixture Stored at Room Temperature for Multiple Reaction Monitoring–Mass Spectrometry","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Terry Fox Research Institute; Fondation De Famille Alvin Segal; Ministry of Science and Higher Education of the Russian Federation; Genome Canada; McGill University","keywords":"Chromatography; Chemistry; Mass spectrometry; Peptide; Selected reaction monitoring; Quantitative proteomics; Proteomics; Tandem mass spectrometry; Biochemistry","score_opus":0.04884807215080044,"score_gpt":0.39856798754695844,"score_spread":0.349719915396158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177703586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961847,0.0001407091,0.002160797,0.0002670221,0.0000455683,0.0004639766,0.000044711982,0.000020893089,0.0006716381],"genre_scores_gemma":[0.7701832,0.00025280035,0.22589062,0.000001488113,0.0005177402,0.00022186803,0.000018296312,0.000032691965,0.0028812776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978994,0.000056174733,0.0005720441,0.00026537257,0.0008259309,0.00038107033],"domain_scores_gemma":[0.99727666,0.00020331022,0.00047185927,0.0004213194,0.0014852596,0.00014156876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000999851,0.00015648897,0.00034286676,0.00022358484,0.000379681,0.000049337392,0.00036057387,0.00022779634,0.000075101685],"category_scores_gemma":[0.0002716718,0.00014147256,0.00019180172,0.00043226974,0.00006164471,0.00021039919,0.00012237745,0.0013689809,0.000001200097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015765712,0.0001730988,0.010486285,0.0004622554,0.0000618552,0.000012923791,0.000057158206,0.00005090499,0.98791254,0.00006525853,0.000324093,0.00023598304],"study_design_scores_gemma":[0.0009072327,0.00025646633,0.0031179301,0.00037076705,0.000016125001,0.000081801896,0.00024512497,0.0003596599,0.9916717,0.00069685467,0.0021464787,0.00012989581],"about_ca_topic_score_codex":0.000006037137,"about_ca_topic_score_gemma":0.0000032806815,"teacher_disagreement_score":0.22600147,"about_ca_system_score_codex":0.0008384223,"about_ca_system_score_gemma":0.00033599397,"threshold_uncertainty_score":0.59476167},"labels":[],"label_agreement":null},{"id":"W3185267875","doi":"10.1101/2021.07.21.453197","title":"Democratizing Data-Independent Acquisition Proteomics Analysis on Public Cloud Infrastructures Via The Galaxy Framework","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"German Network for Bioinformatics Infrastructure; Albert-Ludwigs-Universität Freiburg; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Cloud computing; Pipeline (software); Usability; Software; Workflow; Raw data; Suite; Application programming interface; Data science; Software suite; Software engineering; Human–computer interaction; Database; Operating system","score_opus":0.017448412374450117,"score_gpt":0.25663383188272226,"score_spread":0.23918541950827216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185267875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42216143,0.00041760318,0.57371086,0.0009135882,0.00025708822,0.0008927146,0.00096042897,0.0006583262,0.000027950487],"genre_scores_gemma":[0.81506276,0.00024591398,0.1824363,0.0003308302,0.0008990309,0.00085473224,0.000033399436,0.00013405862,0.000002988702],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99586725,0.00011785814,0.0008243131,0.0018498643,0.0006807762,0.0006599416],"domain_scores_gemma":[0.9918916,0.0001722378,0.000973727,0.0061784275,0.0005260078,0.0002579581],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00063198525,0.0007549733,0.00075758016,0.00025522462,0.0006250062,0.0009462035,0.0024144116,0.0011237133,0.00042635945],"category_scores_gemma":[0.00032515664,0.0006900945,0.0003305899,0.0011738349,0.0001626462,0.00025801954,0.0021713309,0.0026374417,0.000016175327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040187377,0.00020693806,0.006116873,0.000380909,0.0017803764,0.000038712344,0.000024130637,0.0021184925,0.98186153,0.007108412,0.00030215565,0.000021308677],"study_design_scores_gemma":[0.00025467164,0.00001999558,0.010024027,0.00048295286,0.0012400456,1.06554e-7,0.000019435258,0.007893063,0.9760706,0.0008335814,0.0016851376,0.0014764153],"about_ca_topic_score_codex":0.000045706136,"about_ca_topic_score_gemma":0.0000075920125,"teacher_disagreement_score":0.39290133,"about_ca_system_score_codex":0.00049600616,"about_ca_system_score_gemma":0.00049095316,"threshold_uncertainty_score":0.99966353},"labels":[],"label_agreement":null},{"id":"W3185999833","doi":"10.3389/fgene.2021.667936","title":"Bioinformatic Analysis of Temporal and Spatial Proteome Alternations During Infections","year":2021,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"","keywords":"Computer science; Workflow; Data science; Data mining; Proteome; Pipeline (software); Missing data; Data quality; Data analysis; Bioinformatics; Machine learning; Biology; Service (business)","score_opus":0.015132778814222127,"score_gpt":0.30304849185187316,"score_spread":0.287915713037651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185999833","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004991191,0.86951625,0.12890063,0.0000038126252,0.0000463839,0.0004237681,0.00028730955,0.0000339312,0.00028877237],"genre_scores_gemma":[0.00015600324,0.890858,0.10789508,0.0000010472457,0.00003398866,0.00042197452,0.0004109326,0.000024668954,0.0001983151],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874634,0.00001689132,0.0007146619,0.00024830218,0.00011635603,0.00015743013],"domain_scores_gemma":[0.9989766,0.000021412885,0.00045309676,0.00044669496,0.00005099892,0.00005119453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056154386,0.00021856547,0.0010350599,0.00055208494,0.000051879066,0.000025148976,0.00018546463,0.00022578692,0.00003155981],"category_scores_gemma":[0.000025234996,0.00022882536,0.00027266986,0.000870388,0.00007264494,0.000033429413,0.00013373836,0.00027948464,4.4458545e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026967882,0.00025570378,0.012365501,0.02311065,0.0028714207,0.0000075507446,0.00021940078,0.0012022516,0.00007890591,0.00014065203,0.00015365353,0.9595916],"study_design_scores_gemma":[0.0004963603,0.000037067613,0.00012334815,0.008076289,0.009805538,0.000032753538,0.00016398146,0.01676796,0.0015347332,0.0007816893,0.96081054,0.0013697183],"about_ca_topic_score_codex":0.000054258206,"about_ca_topic_score_gemma":0.000046656314,"teacher_disagreement_score":0.9606569,"about_ca_system_score_codex":0.00011866664,"about_ca_system_score_gemma":0.0000985409,"threshold_uncertainty_score":0.93312275},"labels":[],"label_agreement":null},{"id":"W3196234570","doi":"10.1038/s41585-021-00500-1","title":"Proteomic discovery of non-invasive biomarkers of localized prostate cancer using mass spectrometry","year":2021,"lang":"en","type":"review","venue":"Nature Reviews Urology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; Vector Institute; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute","keywords":"Prostate cancer; Medicine; Biomarker discovery; Biomarker; Disease; Oncology; Internal medicine; Cancer; Localized disease; Risk stratification; Prostate; Proteomics; Biology","score_opus":0.02298675179428915,"score_gpt":0.3622515404280216,"score_spread":0.33926478863373244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196234570","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006817971,0.989846,0.0064496286,0.00002884402,0.00009020851,0.0025408284,0.00063439604,0.000028846407,0.00031309546],"genre_scores_gemma":[0.000022013313,0.9334725,0.06445616,0.00003811123,0.00013457926,0.0013705654,0.00027873885,0.00009999099,0.00012733445],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966712,0.0001786008,0.001703491,0.00083782646,0.00019449957,0.0004143794],"domain_scores_gemma":[0.9955207,0.0001829819,0.0029175223,0.0011399962,0.00016869731,0.0000701208],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00034602883,0.00065067445,0.0043189116,0.00023231952,0.000048342896,0.00001310002,0.00065336283,0.0015752809,0.00017507699],"category_scores_gemma":[0.0002611104,0.0005192875,0.0011996699,0.0009423819,0.00025645393,0.00008204047,0.00021756101,0.001681705,0.0000028010793],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070604816,0.00021033322,0.00006882581,0.21383628,0.0014044194,0.00003654412,0.000024732059,0.000009255864,0.10981405,0.0008508964,0.00051665393,0.6731574],"study_design_scores_gemma":[0.0002276831,0.000037220718,1.8127103e-7,0.020824937,0.0017459422,0.00007782113,0.00000313194,0.0000116785695,0.02461923,0.00035343584,0.9515977,0.00050107326],"about_ca_topic_score_codex":0.000025309928,"about_ca_topic_score_gemma":0.0000031057189,"teacher_disagreement_score":0.95108104,"about_ca_system_score_codex":0.0002532824,"about_ca_system_score_gemma":0.0008633354,"threshold_uncertainty_score":0.9997259},"labels":[],"label_agreement":null},{"id":"W3196705307","doi":"10.1021/acs.jproteome.1c00490","title":"Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard","year":2021,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Workflow; Software; Benchmarking; Data mining; Proteomics; Quantitative proteomics; Proteome; Bioinformatics; Database; Chemistry; Biology","score_opus":0.1608773151448786,"score_gpt":0.4830560024603403,"score_spread":0.32217868731546173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196705307","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6426058,0.00060061377,0.35603032,0.00023634393,0.000007982569,0.00037190315,0.00004274515,0.000009829135,0.00009450523],"genre_scores_gemma":[0.24006073,0.0005140367,0.75921565,0.000010226983,0.00010928648,0.00004323523,0.0000048617076,0.000019527624,0.000022414544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982782,0.0002092584,0.000539603,0.00023842609,0.00045392767,0.00028059437],"domain_scores_gemma":[0.9970839,0.00037792517,0.0004374794,0.00024145642,0.0017219854,0.00013725799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016053284,0.00012531118,0.00038452185,0.00016024908,0.00022492904,0.00011967903,0.00015728183,0.000117400865,0.00015167984],"category_scores_gemma":[0.0008137816,0.00011455445,0.000071015675,0.00030044382,0.00022994478,0.00029544355,0.00028586536,0.0006641044,2.1844511e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014886021,0.000027683262,0.00027315665,0.0003348821,0.000036238405,0.000031779837,0.00013156162,0.000020929123,0.97395104,0.00017940017,0.000018611356,0.024845848],"study_design_scores_gemma":[0.00051280286,0.00014505327,0.0007696588,0.0005763772,0.000021947411,0.00042601165,0.00029774572,0.00057515124,0.9757065,0.020417517,0.00042578022,0.00012544889],"about_ca_topic_score_codex":0.000007869415,"about_ca_topic_score_gemma":7.197762e-7,"teacher_disagreement_score":0.40318537,"about_ca_system_score_codex":0.00014124741,"about_ca_system_score_gemma":0.00030991726,"threshold_uncertainty_score":0.4671395},"labels":[],"label_agreement":null},{"id":"W3197214880","doi":"10.3390/proteomes9030038","title":"Proteomes Are of Proteoforms: Embracing the Complexity","year":2021,"lang":"en","type":"review","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Computational biology; Computer science; Data science; Human proteome project; Genome; Biology; Bioinformatics; Proteomics; Genetics; Gene","score_opus":0.0969464571629138,"score_gpt":0.36553866289193815,"score_spread":0.26859220572902437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197214880","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014784648,0.98772734,0.0023152549,0.0001368048,0.0000227425,0.0049803373,0.00035491973,0.00026369237,0.004184101],"genre_scores_gemma":[0.000021914893,0.9565493,0.02533177,0.000017483371,0.00023590948,0.016409224,0.00018103159,0.0001353508,0.0011180486],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971512,0.000080070866,0.0011480701,0.0007201778,0.00039865836,0.00050183426],"domain_scores_gemma":[0.99607843,0.00014017915,0.0018464385,0.0016218446,0.00022015818,0.0000929357],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000341793,0.0006603253,0.0021102147,0.0000891056,0.00035171653,0.00008699676,0.0011538186,0.00045987338,0.0016407926],"category_scores_gemma":[0.0002057563,0.00042401205,0.0007996126,0.0004397679,0.00050592836,0.000100186655,0.00059190334,0.0011181498,0.000056259694],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044359676,0.00019193941,0.0000105766485,0.07891748,0.00035533842,0.000010647309,0.000110974914,0.0000020010689,0.00026637327,0.01587477,0.00038150392,0.903874],"study_design_scores_gemma":[0.00010563508,0.000014659002,6.9466574e-7,0.022016887,0.00028768927,0.000044436183,0.00010579984,0.000006120662,0.0102618765,0.010349436,0.9562237,0.0005830391],"about_ca_topic_score_codex":0.000019724035,"about_ca_topic_score_gemma":0.0000020995872,"teacher_disagreement_score":0.9558422,"about_ca_system_score_codex":0.00015084849,"about_ca_system_score_gemma":0.00034346894,"threshold_uncertainty_score":0.9998212},"labels":[],"label_agreement":null},{"id":"W3197661809","doi":"10.1093/bioinformatics/btab636","title":"mspack: efficient lossless and lossy mass spectrometry data compression","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lossy compression; Lossless compression; Computer science; Mass spectrometry; Compression (physics); Data compression; Algorithm; Chemistry; Artificial intelligence; Materials science; Chromatography","score_opus":0.024762895791205896,"score_gpt":0.2898678943558391,"score_spread":0.2651049985646332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197661809","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14077783,0.0006350952,0.81852865,0.00044074684,0.00005623015,0.00018624462,0.00068275,0.00029959125,0.038392875],"genre_scores_gemma":[0.15333256,0.00041012868,0.8448167,0.00011491344,0.000080494945,0.000014482237,0.00065651967,0.000020176474,0.00055402017],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992447,0.0000033284837,0.00025727125,0.00016942424,0.00014872808,0.00017654011],"domain_scores_gemma":[0.99877894,0.000040429873,0.000115404735,0.00093433587,0.000049719052,0.000081148944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000694916,0.00011476218,0.00013503611,0.000026246444,0.000118596756,0.000070584916,0.00029577606,0.00008456862,0.00014195457],"category_scores_gemma":[0.000036262056,0.00010687274,0.00002107865,0.00013464811,0.000058842867,0.00011243382,0.0004610091,0.00016127052,0.000023896151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005768552,0.0006281063,0.0039222795,0.0031307647,0.00015487337,0.0000606642,0.00092452054,0.00078147015,0.8740493,0.04305716,0.015080679,0.058152515],"study_design_scores_gemma":[0.0005557181,0.000011935005,0.00010712936,0.00020525063,0.00003828318,0.00009411659,0.00076959055,0.27406752,0.67450917,0.0026810523,0.046514817,0.00044542903],"about_ca_topic_score_codex":0.0000017680317,"about_ca_topic_score_gemma":7.011294e-7,"teacher_disagreement_score":0.27328604,"about_ca_system_score_codex":0.000030781477,"about_ca_system_score_gemma":0.000038134815,"threshold_uncertainty_score":0.43581438},"labels":[],"label_agreement":null},{"id":"W3198103753","doi":"10.21203/rs.3.rs-870255/v1","title":"RETRACTED: The Plasma Proteome","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":true,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Proteome; Computational biology; Chemistry; Biology; Biochemistry","score_opus":0.0642553627775534,"score_gpt":0.40675833018863533,"score_spread":0.34250296741108194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198103753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85193795,0.0017258473,0.006440494,0.009680678,0.00011441322,0.004523224,0.00071257795,0.0010476864,0.12381715],"genre_scores_gemma":[0.96124977,0.001382434,0.01872859,0.000032996057,0.00082013186,0.008396267,0.0006672614,0.000115488554,0.00860705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99718845,0.00011634995,0.0003203459,0.0007413375,0.0010330785,0.0006004665],"domain_scores_gemma":[0.9965945,0.0003230006,0.00013117329,0.0020878895,0.0007242159,0.00013920832],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009111526,0.0002442669,0.0002553193,0.000096281794,0.0005020553,0.00036549027,0.0012072173,0.0007601784,0.0014969432],"category_scores_gemma":[0.00049656647,0.00018835349,0.00019435216,0.00039230424,0.00025008555,0.000056343288,0.0022882263,0.0064137066,0.00006378199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023866672,0.0013088734,0.0020216971,0.012155385,0.00045932998,0.00037998857,0.0025145898,0.0010101798,0.8681202,0.023121621,0.02843301,0.060236443],"study_design_scores_gemma":[0.00027135835,0.000039648792,0.00038130337,0.0020949857,0.000022374768,0.000034711058,0.0015747786,0.002042041,0.7917134,0.035926558,0.16518465,0.0007141458],"about_ca_topic_score_codex":0.00015185414,"about_ca_topic_score_gemma":0.000028343113,"teacher_disagreement_score":0.13675164,"about_ca_system_score_codex":0.0002966768,"about_ca_system_score_gemma":0.00048819688,"threshold_uncertainty_score":0.9994158},"labels":[],"label_agreement":null},{"id":"W3202077777","doi":"10.1016/j.jprot.2021.104384","title":"Leveraging homologies for cross-species plasma proteomics in ungulates using data-independent acquisition","year":2021,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Queensland University of Technology; Macquarie University","keywords":"Proteomics; Proteome; Computational biology; Biology; Biomarker discovery; Leverage (statistics); Bioinformatics; Computer science; Artificial intelligence; Biochemistry; Gene","score_opus":0.075710972137715,"score_gpt":0.3519792611700097,"score_spread":0.2762682890322947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202077777","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6921736,0.00017067297,0.30683768,0.00021483982,0.00006230012,0.00032073486,0.000107451306,0.000026422453,0.00008631966],"genre_scores_gemma":[0.36041874,0.00015495913,0.6388297,0.00003092134,0.0002663658,0.00005355669,0.000059609993,0.000033255572,0.00015287982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982704,0.00002094981,0.00083707,0.00033508145,0.00022404219,0.00031246193],"domain_scores_gemma":[0.9980654,0.000108076296,0.00076134386,0.0005560933,0.00044265544,0.000066400506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005281106,0.00020128241,0.0003753337,0.000107425956,0.00016968405,0.0001752969,0.0006031455,0.00020509154,0.000053110594],"category_scores_gemma":[0.00027175047,0.0002024515,0.00015858891,0.00016002657,0.00008407924,0.00052763184,0.00031596987,0.00048525824,8.1961906e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017792157,0.00012581534,0.004675783,0.0001533758,0.000050783958,0.000048026755,0.00013439465,0.008075783,0.98528934,0.00078744674,0.000042067746,0.00043928958],"study_design_scores_gemma":[0.0011224987,0.000032656415,0.00031053327,0.00021930976,0.00003862558,0.00043291735,0.0003643405,0.013361232,0.96404773,0.019103836,0.00071736204,0.0002489625],"about_ca_topic_score_codex":0.000007717824,"about_ca_topic_score_gemma":0.000006650529,"teacher_disagreement_score":0.33199203,"about_ca_system_score_codex":0.00037671084,"about_ca_system_score_gemma":0.00033592724,"threshold_uncertainty_score":0.82557327},"labels":[],"label_agreement":null},{"id":"W3203631548","doi":"10.1016/j.chroma.2021.462584","title":"Peptide retention time prediction for peptides with post-translational modifications: N-terminal (α-amine) and lysine (ε-amine) acetylation","year":2021,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Acetylation; Peptide; Hydrophilic interaction chromatography; Chromatography; Lysine; Amine gas treating; Formic acid; Peptide sequence; Amino acid; High-performance liquid chromatography; Biochemistry; Organic chemistry","score_opus":0.01063111246852959,"score_gpt":0.24351341477368332,"score_spread":0.23288230230515372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203631548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8288857,0.00043800584,0.16892593,0.00078319816,0.000015526755,0.00020228243,0.00019955731,0.00005726141,0.0004925421],"genre_scores_gemma":[0.8081814,0.00022804405,0.19066349,0.000030878986,0.00020426959,0.00007560694,0.0003014273,0.000027329354,0.0002875857],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893504,0.000013172308,0.0004892265,0.00019856266,0.00023178093,0.00013224271],"domain_scores_gemma":[0.9983881,0.00008829329,0.0004908983,0.0001751783,0.0007795236,0.000078007004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014447329,0.00014404798,0.00020910731,0.00015163173,0.0001655559,0.000056569228,0.00008623442,0.00009608046,0.00005633687],"category_scores_gemma":[0.000037134585,0.00013056598,0.00016754938,0.0002468029,0.00008120704,0.0003850484,0.000011406434,0.0001515589,7.38924e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024162927,0.00021381637,0.005030759,0.00021236975,0.00016710414,0.000009778279,0.0001556089,0.00019358605,0.98917556,0.0012082754,0.0003506783,0.0030408467],"study_design_scores_gemma":[0.009509019,0.0015152053,0.07394125,0.0024384684,0.0017143921,0.009092776,0.0011037712,0.023211025,0.811205,0.041172516,0.023626827,0.0014697338],"about_ca_topic_score_codex":0.0000015094097,"about_ca_topic_score_gemma":0.000002407794,"teacher_disagreement_score":0.17797053,"about_ca_system_score_codex":0.000024915567,"about_ca_system_score_gemma":0.00008308113,"threshold_uncertainty_score":0.5324326},"labels":[],"label_agreement":null},{"id":"W3203928808","doi":"10.3390/cancers13205034","title":"Reinspection of a Clinical Proteomics Tumor Analysis Consortium (CPTAC) Dataset with Cloud Computing Reveals Abundant Post-Translational Modifications and Protein Sequence Variants","year":2021,"lang":"en","type":"article","venue":"Cancers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; McGill University Health Centre","funders":"Los Alamos National Laboratory; National Cancer Institute; National Nuclear Security Administration; National Institute of Standards and Technology; U.S. Department of Energy","keywords":"Proteogenomics; Biology; Proteomics; Computational biology; Genetics; Sequence analysis; Sequence (biology); Sequence database; Protein sequencing; Bioinformatics; Peptide sequence; Genomics; Gene; Genome","score_opus":0.041705249287598674,"score_gpt":0.3482304642294535,"score_spread":0.3065252149418548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203928808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7638063,0.000074764306,0.23033431,0.0003959359,0.00001385247,0.0004679966,0.004398821,0.000068548994,0.00043946333],"genre_scores_gemma":[0.8340932,0.000045021032,0.16413419,0.00006912023,0.00008623307,0.00014322042,0.0013396201,0.000014953634,0.00007440505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985543,0.000036915677,0.00059736735,0.00048274337,0.00016390445,0.00016475603],"domain_scores_gemma":[0.9985506,0.00007705899,0.00046538276,0.00049881695,0.000311826,0.000096349424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271503,0.00013542843,0.00033126664,0.000061848856,0.00016483077,0.000027974776,0.00013743307,0.00007694102,0.000056072095],"category_scores_gemma":[0.00012802203,0.00013551308,0.00007303343,0.0005636608,0.00024435684,0.00009884933,0.00004035617,0.00024700558,7.9903435e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029903548,0.00013066152,0.012689967,0.00034391068,0.0007221503,0.00002639329,0.0002060791,0.01784538,0.93864244,0.027580652,0.00014071405,0.0013726228],"study_design_scores_gemma":[0.003394522,0.00024975126,0.016469488,0.00090261217,0.0016953564,0.00023124526,0.0010601906,0.15591703,0.7998578,0.013150306,0.005438551,0.0016331524],"about_ca_topic_score_codex":0.00031266,"about_ca_topic_score_gemma":0.00011181209,"teacher_disagreement_score":0.13878465,"about_ca_system_score_codex":0.00017818833,"about_ca_system_score_gemma":0.0010234374,"threshold_uncertainty_score":0.55260634},"labels":[],"label_agreement":null},{"id":"W3208567365","doi":"10.1007/978-1-0716-1526-3_14","title":"A Road Map for Undertaking Quantitative Proteomics in Plants: New Opportunities for Cereal Crops","year":2021,"lang":"en","type":"book-chapter","venue":"Springer protocols handbooks/Springer protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteomics; Proteome; Workflow; Computational biology; Quantitative proteomics; Biology; Data science; Computer science; Biotechnology; Bioinformatics; Biochemistry; Database; Gene","score_opus":0.15770166382380893,"score_gpt":0.3713958656868444,"score_spread":0.21369420186303548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208567365","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024645882,0.00014382662,0.16289134,0.00033753843,0.00005680592,0.7879129,0.0010220221,0.0006829487,0.046927948],"genre_scores_gemma":[0.0000120859495,0.000024354187,0.20287162,0.00011650564,0.00050325145,0.6477195,0.00023772723,0.0004938626,0.14802112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99305165,0.00003983293,0.0023554016,0.0023492938,0.000694198,0.0015096191],"domain_scores_gemma":[0.99445873,0.00038223967,0.0020462798,0.0020015594,0.0006067878,0.0005044163],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007881868,0.0017356751,0.0020870564,0.00046853884,0.00047971643,0.0006108676,0.00146659,0.0015755014,0.0005280726],"category_scores_gemma":[0.00017713738,0.0019286098,0.0009200936,0.0000791637,0.00030967835,0.00041311834,0.00065504137,0.0015336467,0.000023799794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0073528774,0.000920673,0.0001805043,0.027463973,0.001097645,0.00019662916,0.0013286093,0.00017070025,0.08613533,0.77875286,0.0035772712,0.09282292],"study_design_scores_gemma":[0.0050483956,0.0004932366,0.00000338584,0.017951226,0.00008015183,0.000020192036,0.00014067642,0.0003550277,0.17142569,0.09634038,0.705904,0.0022376168],"about_ca_topic_score_codex":0.00009867794,"about_ca_topic_score_gemma":0.00023279263,"teacher_disagreement_score":0.7023268,"about_ca_system_score_codex":0.0009419962,"about_ca_system_score_gemma":0.0018858658,"threshold_uncertainty_score":0.9997207},"labels":[],"label_agreement":null},{"id":"W3209881971","doi":"10.1101/2021.11.01.466788","title":"Mouse Organ Specific Proteins and Functions","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Allergy and Infectious Diseases; British Columbia Knowledge Development Fund; China Scholarship Council; Mitacs; U.S. Department of Defense; Simon Fraser University; National Institute of General Medical Sciences; Stem Cell Network; National Institutes of Health; National Science Foundation","keywords":"Proteome; Biology; Organ system; Computational biology; Bioinformatics; Medicine; Internal medicine","score_opus":0.012619697801785243,"score_gpt":0.21676640635790045,"score_spread":0.20414670855611522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209881971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94964665,0.001420903,0.04592771,0.00032619544,0.00014038384,0.0007391914,0.0005257648,0.0011898893,0.000083294246],"genre_scores_gemma":[0.89335835,0.001320118,0.10303645,0.000087608365,0.0004772896,0.0014004046,0.0000029919247,0.00019946185,0.00011732433],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99780864,0.000021810312,0.00042675823,0.0011189199,0.00021902606,0.0004048396],"domain_scores_gemma":[0.9973571,0.000029695808,0.0003019755,0.0017171109,0.00034285913,0.00025131562],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013448698,0.00048535754,0.00042611978,0.00010107237,0.00027926263,0.00031287925,0.00039427797,0.00058198825,0.00035609773],"category_scores_gemma":[0.000057522335,0.00057155767,0.000116675066,0.00027832622,0.00013886315,0.00012051295,0.00069912965,0.001071511,0.000029714072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066634657,0.00011166049,0.0005541451,0.000278533,0.000052872827,0.000014952034,0.0000048163656,0.00001182849,0.9978583,0.0008313839,0.00027019175,0.0000046433656],"study_design_scores_gemma":[0.0001954499,0.000008301963,0.0005144984,0.0002040567,0.00004525885,3.505533e-8,0.000008282369,0.0000533147,0.96333736,0.000009418675,0.034994565,0.0006294451],"about_ca_topic_score_codex":0.00002482243,"about_ca_topic_score_gemma":0.0000019079887,"teacher_disagreement_score":0.05710874,"about_ca_system_score_codex":0.00022088758,"about_ca_system_score_gemma":0.000259979,"threshold_uncertainty_score":0.9996736},"labels":[],"label_agreement":null},{"id":"W3210321882","doi":"10.5281/zenodo.3743880","title":"Proteomics of S and N proteins","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteomics; Computational biology; Biology; Biochemistry; Gene","score_opus":0.030908313634733623,"score_gpt":0.2854918282031017,"score_spread":0.2545835145683681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210321882","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000014889737,0.00007226718,0.000008208566,0.000037119207,0.0000015098408,0.00048659643,0.999111,0.00005957457,0.00022223049],"genre_scores_gemma":[0.000004592106,0.000041456828,0.006473316,0.00003971944,0.00009956979,0.0022278621,0.9910412,0.000021837344,0.00005044552],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993153,0.0000029654318,0.00020301652,0.00027105026,0.00009709469,0.00011054161],"domain_scores_gemma":[0.9991766,0.000023035453,0.00027505943,0.0004065423,0.00005158557,0.00006716934],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000007645579,0.0001737852,0.00022850595,0.000020718138,0.00003579069,0.00001633432,0.00029931625,0.00027304297,0.04684873],"category_scores_gemma":[0.00025177616,0.00017866657,0.000050436272,0.0000605659,0.000010486142,0.00002762758,0.00027209497,0.00037175024,0.0002666857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004491774,0.0000149098105,1.09214966e-7,0.0021127774,0.000009183462,0.0000023614355,0.0000025644365,3.1603727e-7,0.0017363075,0.0000039497013,0.9958596,0.00025339256],"study_design_scores_gemma":[0.000062521416,0.000013045505,2.4039605e-7,0.0012170232,0.000010259336,0.00000362069,0.0000018501404,0.0000093954295,0.06668148,0.00018256463,0.9316543,0.00016372399],"about_ca_topic_score_codex":0.0000070706474,"about_ca_topic_score_gemma":0.0000021669211,"teacher_disagreement_score":0.064945176,"about_ca_system_score_codex":0.000017393158,"about_ca_system_score_gemma":0.00006191792,"threshold_uncertainty_score":0.9540226},"labels":[],"label_agreement":null},{"id":"W3212052343","doi":"10.1038/s41598-021-01971-3","title":"Robust unsupervised deconvolution of linear motifs characterizes 68 protein modifications at proteome scale","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; BC Children's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael Smith Health Research BC; BC Children’s Hospital Foundation","keywords":"Proteome; Computational biology; Sequence motif; Deconvolution; Computer science; Protein methods; Context (archaeology); Biology; Bioinformatics; Peptide sequence; Algorithm; Genetics","score_opus":0.026590205919081893,"score_gpt":0.254177951036372,"score_spread":0.22758774511729007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212052343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98370326,0.00008942976,0.013051554,0.00025714264,0.00017952963,0.0006085324,0.000051963343,0.00018159978,0.0018769645],"genre_scores_gemma":[0.88052654,0.000011881756,0.086860046,0.000008014903,0.000073529736,0.0009906658,0.00067485374,0.0000350686,0.030819407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979131,0.000016956194,0.00067921536,0.0008031422,0.0003236877,0.00026388842],"domain_scores_gemma":[0.9974182,0.000012601113,0.00048151007,0.0014893659,0.0004852348,0.000113086004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033675515,0.00015698426,0.00022103915,0.00006948846,0.00047037617,0.000067846675,0.00017755206,0.00012545253,0.00091190875],"category_scores_gemma":[0.000111011395,0.0001639997,0.0001293087,0.00046231126,0.00025513628,0.00017423913,0.00016334192,0.00014488852,0.000030855383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053711306,0.00014776923,0.00071334786,0.0001042606,0.00000809558,0.000014765822,0.00008630942,0.00017462242,0.99804133,0.00013487649,0.00021493704,0.00035431614],"study_design_scores_gemma":[0.00008875162,0.0000047512062,0.00017464886,0.00008512819,0.000013392039,0.000083218416,0.000043006967,0.0013913768,0.98090935,0.003402028,0.013637839,0.00016649697],"about_ca_topic_score_codex":0.000016783573,"about_ca_topic_score_gemma":0.0000122846795,"teacher_disagreement_score":0.10317675,"about_ca_system_score_codex":0.00012559917,"about_ca_system_score_gemma":0.00020333986,"threshold_uncertainty_score":0.9984761},"labels":[],"label_agreement":null},{"id":"W3212105246","doi":"10.1101/2021.11.15.468703","title":"Sensitive identification of known and unknown protease activities by unsupervised linear motif deconvolution","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Protease; Proteases; Deconvolution; Peptide; Cleavage (geology); Computational biology; Biology; Biochemistry; Chemistry; Enzyme; Computer science; Algorithm","score_opus":0.009349041580180918,"score_gpt":0.2301522477561657,"score_spread":0.22080320617598478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212105246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9478013,0.00076430506,0.049482748,0.00007063933,0.00006698547,0.00066317513,0.0008452049,0.000294331,0.000011320413],"genre_scores_gemma":[0.97698945,0.00071174913,0.021365287,0.000020745429,0.00012739161,0.0006612565,0.00000879814,0.00008997104,0.000025354482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979705,0.000051737443,0.00060418295,0.0008696563,0.00022283626,0.00028106314],"domain_scores_gemma":[0.99764615,0.000057824676,0.0006497836,0.0010319685,0.0004660314,0.00014826808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002463407,0.00040158798,0.00046859618,0.00009832158,0.00015247197,0.00010530838,0.0002450333,0.0005219352,0.000032628857],"category_scores_gemma":[0.00012762047,0.0004888418,0.00011370717,0.00021157865,0.0002022415,0.00019159113,0.00035687498,0.00059893524,0.0000024381018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018712115,0.00014091426,0.0004431165,0.0007468211,0.00007302731,0.0000035597632,0.000017434593,0.000031262356,0.9980592,0.00042081106,0.000032929,0.000012179285],"study_design_scores_gemma":[0.00023128522,0.000009834645,0.00072205166,0.0003676658,0.00008866066,2.7156238e-8,0.000017469632,0.0022316459,0.9949925,0.000010093446,0.000885382,0.00044339802],"about_ca_topic_score_codex":0.00005657522,"about_ca_topic_score_gemma":0.0000012775529,"teacher_disagreement_score":0.029188156,"about_ca_system_score_codex":0.00020181543,"about_ca_system_score_gemma":0.0002925541,"threshold_uncertainty_score":0.99975634},"labels":[],"label_agreement":null},{"id":"W3213296388","doi":"10.3390/proteomes9040045","title":"Proteome of the Luminal Surface of the Blood–Brain Barrier","year":2021,"lang":"en","type":"review","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Proteome; Blood–brain barrier; Chemistry; Computational biology; Cell biology; Biology; Neuroscience; Central nervous system; Biochemistry","score_opus":0.02377118725830376,"score_gpt":0.3151643937318773,"score_spread":0.2913932064735736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213296388","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007442241,0.99325216,0.00014907683,0.00023317707,0.00004838299,0.003197368,0.0004670817,0.00005279318,0.0018557131],"genre_scores_gemma":[0.0001500143,0.9755084,0.010513604,0.000024047633,0.00016103617,0.0026026114,0.000029157813,0.0001137103,0.010897409],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980221,0.00010622059,0.0008137492,0.00043271654,0.00036380743,0.00026145228],"domain_scores_gemma":[0.9967186,0.00014252869,0.0012059403,0.0017352302,0.00014850445,0.000049240552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024671957,0.0003870747,0.0011669337,0.000024041134,0.00014531589,0.00001790076,0.0014092501,0.00036401852,0.00050010707],"category_scores_gemma":[0.0002731848,0.00021582314,0.0009191416,0.00047537044,0.00034016202,0.00003514276,0.00067782676,0.0007530186,0.0000039172864],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019217909,0.0011645727,0.00046130523,0.24265315,0.0020768347,0.000010988747,0.00060647976,0.000040816874,0.17836481,0.018473588,0.003392014,0.5527362],"study_design_scores_gemma":[0.00007851428,0.0000074626278,8.967425e-7,0.0096211545,0.000342754,0.00002215681,0.000013224475,0.0000011534339,0.2581095,0.00079320656,0.73078424,0.000225751],"about_ca_topic_score_codex":0.000018353563,"about_ca_topic_score_gemma":0.0000013821192,"teacher_disagreement_score":0.7273922,"about_ca_system_score_codex":0.000052100826,"about_ca_system_score_gemma":0.00052109157,"threshold_uncertainty_score":0.88010126},"labels":[],"label_agreement":null},{"id":"W3215724092","doi":"10.1111/jfbc.14006","title":"Comparative<i>N</i>‐glycoproteomic analysis of Tibetan and lowland chicken fertilized eggs: Implications on proteins biofunction and species evolution","year":2021,"lang":"en","type":"article","venue":"Journal of Food Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Glycoprotein; Yolk; Biology; Glycosylation; Adaptation (eye); Egg white; Biochemistry; Zoology; Ecology","score_opus":0.019413153388908748,"score_gpt":0.2828291585181373,"score_spread":0.2634160051292285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215724092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99053407,0.00096283545,0.0070823412,0.00030027685,0.000008024234,0.00010819143,0.000136026,0.000016941807,0.00085130776],"genre_scores_gemma":[0.9917073,0.0002690625,0.0076940903,0.000013670607,0.00006594544,0.000025711695,0.00004339241,0.000008938647,0.00017185997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901277,0.000013389831,0.00047004342,0.00023086715,0.00015490156,0.00011802637],"domain_scores_gemma":[0.9987043,0.00004800904,0.00056931074,0.00028696118,0.00029850434,0.0000928769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098440236,0.00014999826,0.00040659364,0.00010081501,0.00010052578,0.000030820782,0.00010617894,0.0001283906,0.000052790016],"category_scores_gemma":[0.000055556902,0.00013586822,0.00013774456,0.00038345586,0.00012801056,0.00006999448,0.00004722672,0.00023931211,2.5182268e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011549888,0.00013794482,0.004140033,0.00008428582,0.00040525713,8.3209454e-7,0.000052443524,0.00002667529,0.99446386,0.0002789387,0.00003312859,0.0002610787],"study_design_scores_gemma":[0.0004889978,0.00010353399,0.0066527994,0.000098041106,0.00040477273,0.00007715907,0.00020658105,0.00011565161,0.9900267,0.0015575911,0.0001398862,0.00012824386],"about_ca_topic_score_codex":0.0000021802332,"about_ca_topic_score_gemma":0.00000318935,"teacher_disagreement_score":0.0044371416,"about_ca_system_score_codex":0.000088617,"about_ca_system_score_gemma":0.000095963616,"threshold_uncertainty_score":0.5540545},"labels":[],"label_agreement":null},{"id":"W3216359166","doi":"10.1101/2021.11.24.469852","title":"A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada); Spinal Cord Injury BC","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Agence Nationale de la Recherche","keywords":"Benchmark (surveying); Data acquisition; Computer science; Data mining; Proteomics; Proteome; Data science; Bioinformatics; Biology; Geography","score_opus":0.01651257485733412,"score_gpt":0.257694095054305,"score_spread":0.2411815201969709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216359166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96158785,0.00058353355,0.028539186,0.0001714794,0.00013526238,0.0012034237,0.007219412,0.00047448484,0.000085373555],"genre_scores_gemma":[0.9362617,0.00043548938,0.060749028,0.00021535506,0.00024087384,0.001822035,0.00013746475,0.00013505021,0.0000029734601],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970633,0.00007067711,0.00063728966,0.0013710229,0.00033024754,0.0005274667],"domain_scores_gemma":[0.99685615,0.00007930556,0.00046493346,0.0021232443,0.0003053159,0.0001710728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020453647,0.00064940716,0.00061481434,0.00016743086,0.00015278756,0.00038382955,0.0007241509,0.0007474453,0.00015890371],"category_scores_gemma":[0.000044149016,0.0007783255,0.00012707654,0.00028741785,0.00011895545,0.00021345362,0.0007203727,0.0014436288,0.000018356986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037123675,0.00024793477,0.0002516645,0.0005952308,0.000049703645,0.00006913769,0.000015691956,0.0019852442,0.9948904,0.0015927551,0.00026143773,0.0000036763777],"study_design_scores_gemma":[0.00051305327,0.000026928028,0.0016588256,0.0011481253,0.000051594954,4.0481826e-8,0.00002891618,0.0028149239,0.98851967,0.00023326495,0.003872169,0.0011324949],"about_ca_topic_score_codex":0.00006968366,"about_ca_topic_score_gemma":0.0000061271044,"teacher_disagreement_score":0.032209843,"about_ca_system_score_codex":0.0004709936,"about_ca_system_score_gemma":0.0005553506,"threshold_uncertainty_score":0.9994668},"labels":[],"label_agreement":null},{"id":"W3216731846","doi":"","title":"Development of human protein reference database as an initial platform for","year":2003,"lang":"en","type":"article","venue":"Genome","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Database; Computational biology; Genetics; Computer science","score_opus":0.07182412776793375,"score_gpt":0.3482220024183073,"score_spread":0.2763978746503736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216731846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95182073,0.000011965859,0.03127517,0.0000047563194,0.0000025399315,0.00036073793,0.00011372037,0.000056460674,0.016353937],"genre_scores_gemma":[0.6121078,0.0000012461251,0.38659027,0.00001050407,0.000016256097,0.0005892548,0.00030863378,0.000012049554,0.00036400816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994306,0.0000016377785,0.00020040674,0.00017126677,0.00006312312,0.00013294333],"domain_scores_gemma":[0.99952036,0.00000543743,0.00008771982,0.00029327392,0.000043911637,0.000049315247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008160759,0.000077555065,0.00008706811,0.000018132732,0.00012290872,0.000006945351,0.00014786003,0.000050801093,0.00027604977],"category_scores_gemma":[0.000012492843,0.00008074213,0.000016018901,0.000034769128,0.0000228832,0.000068757014,0.000029529641,0.00006942273,0.000006963798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008838192,0.000046875834,0.0000019102208,0.000050902418,0.0000037731334,3.472025e-7,0.00010574748,4.5399088e-7,0.94004107,0.05882083,0.0000014464472,0.0009178301],"study_design_scores_gemma":[0.00017271537,0.000023686813,0.0000039885963,0.000013341655,0.0000027644326,0.0000020265466,0.00007739668,0.0000016293382,0.9242551,0.017946731,0.057393856,0.00010676382],"about_ca_topic_score_codex":0.0000046864548,"about_ca_topic_score_gemma":0.0000080834025,"teacher_disagreement_score":0.3553151,"about_ca_system_score_codex":0.000036453814,"about_ca_system_score_gemma":0.00008045396,"threshold_uncertainty_score":0.32925686},"labels":[],"label_agreement":null},{"id":"W3217306685","doi":"10.1016/j.plabm.2021.e00260","title":"Proteoforms and their expanding role in laboratory medicine","year":2021,"lang":"en","type":"review","venue":"Practical Laboratory Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Providence Health Care; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Mitacs; Fondation Brain Canada","keywords":"Computer science","score_opus":0.04156940863398525,"score_gpt":0.3932248403357197,"score_spread":0.35165543170173447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217306685","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028771326,0.9932508,0.0007869665,0.0012539236,0.00007015446,0.00075909,0.00016441678,0.00018562793,0.0035002867],"genre_scores_gemma":[0.000048426915,0.993253,0.0036385057,0.0002558278,0.00089464174,0.0013216933,0.00030343782,0.00012385043,0.000160631],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969038,0.00015979275,0.001186324,0.0008983063,0.00033554653,0.0005162694],"domain_scores_gemma":[0.9967532,0.0010738344,0.0006763523,0.00087798195,0.00026439823,0.00035424661],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010623838,0.00070422614,0.0024132086,0.00022073863,0.0001439731,0.000026095231,0.0002946769,0.00068122474,0.0010210995],"category_scores_gemma":[0.00235036,0.0004584486,0.00008380215,0.0011313369,0.00055187405,0.00025913207,0.000228845,0.0019891586,0.000013231458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004213024,0.00040042817,0.0000753883,0.027597725,0.00031220051,0.0003906278,0.00080925174,2.3188083e-7,0.0067323563,0.027424924,0.0050110095,0.9312037],"study_design_scores_gemma":[0.0004255924,0.000055675937,5.4251194e-7,0.019867526,0.00022208023,0.0000586995,0.0006960422,0.0000062451486,0.0007154126,0.0009941288,0.9765156,0.0004424482],"about_ca_topic_score_codex":0.000017177988,"about_ca_topic_score_gemma":0.000006168679,"teacher_disagreement_score":0.97150457,"about_ca_system_score_codex":0.00026473848,"about_ca_system_score_gemma":0.00059141347,"threshold_uncertainty_score":0.9998921},"labels":[],"label_agreement":null},{"id":"W33524485","doi":"10.1007/978-1-59745-427-8_6","title":"Methods for Functional Proteomic Analyses","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Computational biology; Computer science; Biology","score_opus":0.07245271827269688,"score_gpt":0.5195018216331212,"score_spread":0.4470491033604243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W33524485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024463236,0.00031383647,0.9945085,0.00038315787,0.000025960264,0.00033057117,0.000010163218,0.000094517956,0.0018869531],"genre_scores_gemma":[0.0013483852,0.000019534085,0.9972009,0.00038640632,0.00005032643,0.00077144743,0.00005527575,0.000016297377,0.00015139389],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988188,0.0002052809,0.00029692787,0.0003970236,0.000026861087,0.00025507668],"domain_scores_gemma":[0.9992111,0.00022762279,0.00010727438,0.0003614813,0.000051702224,0.00004085577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074585,0.00015138215,0.00026251355,0.00009481766,0.00005731594,0.000008434446,0.00020465572,0.00022443008,0.000084964006],"category_scores_gemma":[0.00038091186,0.00014334732,0.00013792497,0.00017999807,0.000062382125,0.000018992128,0.00003833523,0.0002026222,0.0000011739667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024697321,0.00003279661,0.000037229132,0.0000070996407,0.000011572253,4.337198e-7,0.0000047082804,0.0000708523,0.8369472,0.024380984,0.000011087075,0.13847135],"study_design_scores_gemma":[0.00017697875,0.00003344612,0.000024811081,0.000004345335,0.000011432059,0.0000043708574,0.000003827308,0.0010448995,0.6817814,0.30900446,0.007797154,0.000112852154],"about_ca_topic_score_codex":0.000005394236,"about_ca_topic_score_gemma":2.9350625e-7,"teacher_disagreement_score":0.28462347,"about_ca_system_score_codex":0.00005463976,"about_ca_system_score_gemma":0.00003007859,"threshold_uncertainty_score":0.5845534},"labels":[],"label_agreement":null},{"id":"W35469785","doi":"","title":"Systematic Assessment of the Reproducibility of Relative Quantification Based on LC-MS with Replicates","year":2010,"lang":"en","type":"article","venue":"PubMed Central","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bioinformatics Solutions (Canada)","funders":"","keywords":"Replicate; Reproducibility; Pearson product-moment correlation coefficient; Bioinformatics; Statistics; Biology; Mathematics","score_opus":0.01611874532621966,"score_gpt":0.272759562833735,"score_spread":0.25664081750751533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35469785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730624,0.000011160032,0.020505395,0.00067166943,0.00004631754,0.001519078,0.000053424243,0.000069294256,0.004061281],"genre_scores_gemma":[0.98342776,0.0000023275131,0.015434507,0.000011711054,0.000023841574,0.0009794626,0.000013886201,0.0000121200355,0.000094387906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865705,0.0000303175,0.00038822182,0.00047784118,0.00020358975,0.00024296959],"domain_scores_gemma":[0.99660563,0.00013176423,0.00054407696,0.0025674854,0.00009300761,0.00005802944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008899173,0.00009728679,0.00019760022,0.00001614751,0.00005576324,0.000007050877,0.0002639383,0.0000649933,0.000023066279],"category_scores_gemma":[0.00055801944,0.000060884602,0.00007227616,0.00014793828,0.00014319562,0.000043560947,0.000025697213,0.00025668438,2.7726983e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010332647,0.00097290217,0.2304954,0.0067721982,0.0000872401,2.5223702e-7,0.00018867593,0.0012390607,0.6697276,0.089708805,0.000042100997,0.0006624383],"study_design_scores_gemma":[0.00015625889,0.000012909103,0.087793,0.00043636505,0.00004578539,0.0000011067245,0.000019711848,0.0026161124,0.90689915,0.001902071,0.000035095913,0.00008244529],"about_ca_topic_score_codex":0.00002037499,"about_ca_topic_score_gemma":0.000010031631,"teacher_disagreement_score":0.23717155,"about_ca_system_score_codex":0.00007796772,"about_ca_system_score_gemma":0.00008078822,"threshold_uncertainty_score":0.24828021},"labels":[],"label_agreement":null},{"id":"W369460406","doi":"","title":"Tissue Proteomics Workshop","year":2012,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Cover (algebra); Discipline; Computer science; Dissection (medical); Proteomics; Sample (material); Data science; Library science; Engineering ethics; Computational biology; Medicine; Biology; Sociology; Chemistry; Social science; Anatomy; Engineering; Gene; Genetics","score_opus":0.019357412799437694,"score_gpt":0.25861451223910276,"score_spread":0.23925709943966506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W369460406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76424825,0.0014448061,0.10098708,0.0017539707,0.00045312673,0.001757561,0.000094172,0.0016293809,0.12763165],"genre_scores_gemma":[0.904607,0.00045048512,0.07894327,0.00020353214,0.001220973,0.0010356052,0.00005091165,0.00011489025,0.013373334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981394,0.000016631197,0.00026147207,0.00028955104,0.00015629931,0.0011366727],"domain_scores_gemma":[0.99877965,0.00003171616,0.00012258286,0.0005932361,0.000044524564,0.00042831362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015255068,0.00021052355,0.00016009809,0.000027114826,0.00011780879,0.00004467287,0.0003642489,0.00010799548,0.00049925916],"category_scores_gemma":[0.00012023933,0.00020671014,0.000052064832,0.00022215242,0.000062083476,0.00020766509,0.00013433522,0.0003459638,0.00017460786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012809981,0.0009980346,0.04517371,0.00024321052,0.00010352447,0.000024028886,0.004308255,0.00007050639,0.6711676,0.03644149,0.01684818,0.22449338],"study_design_scores_gemma":[0.00013200793,0.00000252215,0.00091977697,0.000014749226,0.000012325842,0.000012828599,0.000023127208,0.0000069250696,0.5371511,0.0003415834,0.46117017,0.00021286521],"about_ca_topic_score_codex":0.000003997413,"about_ca_topic_score_gemma":7.364752e-7,"teacher_disagreement_score":0.444322,"about_ca_system_score_codex":0.00011411327,"about_ca_system_score_gemma":0.000026966882,"threshold_uncertainty_score":0.84293956},"labels":[],"label_agreement":null},{"id":"W374569638","doi":"10.1007/978-1-60761-444-9_8","title":"De Novo Sequencing Methods in Proteomics","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computational biology; Tandem mass spectrometry; Genome; Sequence assembly; Sequence (biology); DNA sequencing; Proteomics; Biology; Homology (biology); Mass spectrometry; Chemistry; Genetics; Gene; Chromatography","score_opus":0.03338148000166237,"score_gpt":0.45569621769047863,"score_spread":0.4223147376888163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W374569638","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03105134,0.00021106974,0.96296656,0.00029354254,0.00001330325,0.00023793675,0.0000036029426,0.00008554204,0.005137128],"genre_scores_gemma":[0.003841296,0.000047453985,0.9951506,0.0005832828,0.00002424395,0.00026210223,0.000009842454,0.000020719051,0.000060451544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834514,0.0004254525,0.0003833564,0.00040850372,0.00003224012,0.00040528167],"domain_scores_gemma":[0.9992117,0.00015706795,0.000105721665,0.00044888293,0.000024574514,0.00005202286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015135732,0.0001713497,0.00029385657,0.00012686451,0.000031611362,0.000010940936,0.0003262649,0.00034837716,0.000043549175],"category_scores_gemma":[0.00045977728,0.00018101014,0.00006944541,0.0002987821,0.0000682942,0.000023474597,0.00007493869,0.00051852677,0.0000011323707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000100940315,0.00002567973,0.00040640408,0.000009296209,0.0000031720513,0.00001602047,0.00005449064,0.00019105151,0.9057678,0.021205366,7.0351933e-7,0.07230993],"study_design_scores_gemma":[0.00016008099,0.000019968957,0.000020032365,0.000016834583,0.0000031052668,0.000025441508,0.000019280278,0.0012342555,0.7161955,0.28100204,0.001161002,0.00014241382],"about_ca_topic_score_codex":0.0000383488,"about_ca_topic_score_gemma":0.0000038014548,"teacher_disagreement_score":0.25979668,"about_ca_system_score_codex":0.00030268653,"about_ca_system_score_gemma":0.00007869753,"threshold_uncertainty_score":0.7381379},"labels":[],"label_agreement":null},{"id":"W38556188","doi":"","title":"Multiple reaction monitoring as a method for identifying protein posttranslational modifications.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada)","funders":"","keywords":"Phosphorylation; Threonine; Protein phosphorylation; Serine; Biology; Mef2; Selected reaction monitoring; Computational biology; Chemistry; Transcription factor; Biochemistry; Tandem mass spectrometry; Enhancer; Protein kinase A; Mass spectrometry; Chromatography","score_opus":0.07274099408291497,"score_gpt":0.34647644555891943,"score_spread":0.2737354514760045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38556188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09512915,0.00009807497,0.8969541,0.0015654619,0.000028147668,0.0018989039,0.000056835306,0.00039644947,0.003872867],"genre_scores_gemma":[0.54752946,0.00000613324,0.42575565,0.000011468147,0.0002514168,0.025229208,0.000035151323,0.0000184397,0.0011630813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991996,0.0000062182758,0.00021756366,0.00025164292,0.000113164104,0.00021180847],"domain_scores_gemma":[0.9994376,0.00008064851,0.00010897755,0.00022534054,0.00008348925,0.000064002714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017789651,0.00009506497,0.00008303204,0.000042689793,0.00018744258,0.00003643511,0.00012573284,0.000082591774,0.000011518649],"category_scores_gemma":[0.00009914613,0.00010838746,0.00006832272,0.00008372702,0.000012831577,0.00021133141,0.000014539133,0.00011767018,0.0000071403683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031480537,0.000054971475,0.00013136656,0.000033067132,0.000013661028,6.865653e-8,0.000043793818,0.00012731904,0.63708144,0.0044689756,0.000023964034,0.35798988],"study_design_scores_gemma":[0.0003166039,0.0000016839972,0.0012490128,0.000011361038,0.000014147119,0.0000041339304,0.000028526803,0.0026136825,0.9553458,0.011254229,0.02901867,0.00014211774],"about_ca_topic_score_codex":0.000028143808,"about_ca_topic_score_gemma":0.0000031003187,"teacher_disagreement_score":0.47119844,"about_ca_system_score_codex":0.00011849064,"about_ca_system_score_gemma":0.000016187074,"threshold_uncertainty_score":0.4419912},"labels":[],"label_agreement":null},{"id":"W395369450","doi":"10.1371/journal.pone.0125934","title":"Evaluation of iTRAQ and SWATH-MS for the Quantification of Proteins Associated with Insulin Resistance in Human Duodenal Biopsy Samples","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"Université Laval","keywords":"Proteome; Insulin resistance; Quantitative proteomics; Isobaric labeling; Proteomics; Lipid metabolism; Mass spectrometry; Biology; Chemistry; Computational biology; Bioinformatics; Biochemistry; Insulin; Chromatography; Gene; Endocrinology","score_opus":0.15504681973726056,"score_gpt":0.3216064571889536,"score_spread":0.16655963745169303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W395369450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989148,0.00025455892,0.009178024,0.00018105055,7.2703324e-7,0.0008328599,0.00009354827,0.000019846875,0.00029135],"genre_scores_gemma":[0.96355593,0.000017148188,0.035432287,0.000001984061,0.0000100165535,0.0008588602,0.00006099912,0.000009992745,0.000052758918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992647,0.000020571004,0.0002168491,0.00012930062,0.00029960874,0.00006893465],"domain_scores_gemma":[0.9988955,0.00008484783,0.00026242915,0.00021182519,0.00052849477,0.000016863985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007300075,0.000057739544,0.00012497383,0.000023301205,0.00004347539,0.0000059831036,0.000091035596,0.000053342945,0.00000520201],"category_scores_gemma":[0.0003882062,0.000045106233,0.000011939302,0.00010987024,0.000076777746,0.00004020683,0.000012260171,0.00006646544,8.10444e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007023566,0.00052336464,0.0019026031,0.00009626342,0.000053436896,2.4417034e-8,0.00026372663,0.00004197357,0.9916444,0.005173106,0.0000047425756,0.00022613036],"study_design_scores_gemma":[0.0007516453,0.00003711449,0.003073646,0.0002867379,0.00012480812,9.345213e-8,0.00009922543,0.0023298112,0.9687083,0.024510192,0.000010346697,0.00006807868],"about_ca_topic_score_codex":0.00005587557,"about_ca_topic_score_gemma":0.00031749642,"teacher_disagreement_score":0.026254265,"about_ca_system_score_codex":0.000058877322,"about_ca_system_score_gemma":0.00005892594,"threshold_uncertainty_score":0.18393789},"labels":[],"label_agreement":null},{"id":"W4200199063","doi":"10.1007/978-1-0716-1835-6_12","title":"Purification of Plasmodesmata-Enriched Fraction for Proteomic Analyses","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"","keywords":"Plasmodesma; Fraction (chemistry); Chemistry; Computational biology; Biology; Chromatography; Biochemistry; Cell","score_opus":0.06433044767414864,"score_gpt":0.4743038870183696,"score_spread":0.409973439344221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200199063","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0700123,0.00018187918,0.9289551,0.00011108769,0.0000121693165,0.000200401,0.000030445059,0.000030866082,0.00046577983],"genre_scores_gemma":[0.03067064,0.00004846537,0.9682408,0.000032951597,0.000013334511,0.00076479476,0.00015782773,0.0000141275295,0.00005703708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991544,0.00011254516,0.0002974472,0.00028148355,0.000028368288,0.00012576014],"domain_scores_gemma":[0.9992016,0.00014428065,0.00017655652,0.00035597457,0.00010334161,0.000018275388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029520784,0.000088499466,0.00022001943,0.000057429585,0.00002683822,0.00000413118,0.000121678444,0.0001840146,0.000046544923],"category_scores_gemma":[0.00040025642,0.000092109396,0.00008302849,0.00017745569,0.000047271198,0.000019842695,0.000036710026,0.00012348786,4.1482045e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018308097,0.000049966762,0.00020178121,0.000044104538,0.0000177467,5.1727454e-7,0.000008396229,0.00012539784,0.97765344,0.013486104,0.0000029976388,0.008391211],"study_design_scores_gemma":[0.00016897205,0.000011571708,0.000024126359,0.000007392237,0.000016619933,0.0000031071165,0.000020891592,0.001642025,0.8818523,0.11504325,0.0011319362,0.00007778121],"about_ca_topic_score_codex":0.000011643719,"about_ca_topic_score_gemma":0.0000011928046,"teacher_disagreement_score":0.10155714,"about_ca_system_score_codex":0.000042218606,"about_ca_system_score_gemma":0.00004186868,"threshold_uncertainty_score":0.37561122},"labels":[],"label_agreement":null},{"id":"W4200553076","doi":"10.1002/clt2.12091","title":"Large‐scale plasma proteomics can reveal distinct endotypes in chronic obstructive pulmonary disease and severe asthma","year":2021,"lang":"en","type":"article","venue":"Clinical and Translational Allergy","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Japan Allergy Foundation; Kyorin Pharmaceutical; Pfizer; AstraZeneca; Boehringer Ingelheim","keywords":"Endotype; Medicine; Asthma; COPD; Proteomics; Disease; Proteome; Pulmonology; Immunology; Pulmonary disease; Eosinophilia; Bioinformatics; Computational biology; Internal medicine; Gene; Biology","score_opus":0.016123272269973853,"score_gpt":0.2869573574053566,"score_spread":0.27083408513538276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200553076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922221,0.0007473982,0.0022058114,0.0021201323,0.000019825275,0.00018211859,0.0005800315,0.00004831732,0.001874305],"genre_scores_gemma":[0.98658687,0.0004568605,0.011598434,0.000058153913,0.00017645316,0.00012940592,0.0003383739,0.0000173866,0.00063804217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886423,0.00002601302,0.00037851982,0.00044507836,0.000101764264,0.00018436449],"domain_scores_gemma":[0.9993825,0.00018070792,0.00006521413,0.00015198726,0.000047684956,0.00017193145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007339963,0.00014140234,0.00020017284,0.0000158847,0.000113022965,0.000018077088,0.0000714297,0.00012217432,0.00013128934],"category_scores_gemma":[0.000035749836,0.00014151497,0.00006955049,0.00007275455,0.00016185523,0.00006662148,0.000055161767,0.00029757296,0.0000014001647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002086713,0.0021752883,0.6821264,0.0010951248,0.0003919959,0.0005292938,0.00081757794,0.0010261949,0.021700839,0.12780584,0.00012092123,0.16012383],"study_design_scores_gemma":[0.0028491581,0.000041326442,0.67048997,0.00020522402,0.00004094391,0.000117748255,0.00014933916,0.016573677,0.0032612444,0.27571622,0.029804379,0.000750773],"about_ca_topic_score_codex":0.000009612058,"about_ca_topic_score_gemma":0.00037858146,"teacher_disagreement_score":0.15937306,"about_ca_system_score_codex":0.00001943357,"about_ca_system_score_gemma":0.00016936331,"threshold_uncertainty_score":0.57708126},"labels":[],"label_agreement":null},{"id":"W4200608484","doi":"10.1002/pmic.202100230","title":"In‐silico selection of cancer blood plasma proteins by integrating genomic and proteomic databases","year":2021,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"In silico; Computational biology; Cancer; Proteomics; Selection (genetic algorithm); Workflow; Cancer biomarkers; Proteome; Bioinformatics; Breast cancer; Biology; Pipeline (software); Database; Gene; Computer science; Genetics","score_opus":0.011733515735727871,"score_gpt":0.2810468637409506,"score_spread":0.2693133480052227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200608484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98759353,0.00037716204,0.010273221,0.00021481051,0.000011971601,0.0008592587,0.00028597552,0.00007343914,0.00031061922],"genre_scores_gemma":[0.5969715,0.00089787156,0.39795157,0.000053456948,0.00009011485,0.0033325627,0.00009525601,0.00006154256,0.0005460996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871427,0.000019019933,0.00043382798,0.00046557636,0.00010824195,0.00025906932],"domain_scores_gemma":[0.99925774,0.000030946587,0.00025738237,0.00028929295,0.00010195222,0.00006268631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104621,0.00020576653,0.00027463672,0.00005323832,0.000096740674,0.00002763421,0.00014693776,0.00011833178,0.00015888714],"category_scores_gemma":[0.000090579255,0.0002215728,0.000043699474,0.00022476006,0.000080375205,0.000174581,0.00015090485,0.00038817895,0.0000012942706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003157411,0.00014170817,0.013133151,0.00022630091,0.000023181203,0.0000019505026,0.000071834795,0.00002200274,0.98377675,0.0010789781,0.000037193226,0.0014553618],"study_design_scores_gemma":[0.0005708271,0.000019445042,0.0001507595,0.00016316639,0.000024681865,0.000027343158,0.00005790146,0.0022020554,0.9946768,0.001140301,0.000740917,0.00022578766],"about_ca_topic_score_codex":0.0006197985,"about_ca_topic_score_gemma":0.00030545073,"teacher_disagreement_score":0.39062202,"about_ca_system_score_codex":0.00010543927,"about_ca_system_score_gemma":0.00018405542,"threshold_uncertainty_score":0.9035477},"labels":[],"label_agreement":null},{"id":"W4205578613","doi":"10.1021/acs.analchem.1c03338","title":"BoxCar and Library-Free Data-Independent Acquisition Substantially Improve the Depth, Range, and Completeness of Label-Free Quantitative Proteomics","year":2022,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Quantitative proteomics; Proteomics; Label-free quantification; Data acquisition; Chemistry; Dynamic range; Replicate; Range (aeronautics); Computer science; Data mining; Biological system; Computational biology; Statistics","score_opus":0.030997117445045217,"score_gpt":0.2876431417184596,"score_spread":0.2566460242734144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205578613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792871,0.00069991127,0.007185533,0.0026954417,0.000013128837,0.0004495199,0.0036000712,0.0001294543,0.005939859],"genre_scores_gemma":[0.9620345,0.00020169491,0.03630737,0.00014705712,0.000077575256,0.00015539737,0.0005413658,0.000047024052,0.00048799775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864787,0.000019974597,0.0003485722,0.00048481065,0.00028596388,0.00021279372],"domain_scores_gemma":[0.99769384,0.0001769298,0.00020514442,0.0017806457,0.00005234411,0.0000910812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019461474,0.0001805477,0.0002614225,0.000015500484,0.0002600218,0.000050644427,0.0014075921,0.00009154847,0.0002942057],"category_scores_gemma":[0.00012691438,0.00015804994,0.000042717358,0.0001565836,0.00030879627,0.00016018968,0.002943672,0.0004173556,4.1199598e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004404009,0.00030726276,0.0035380032,0.0006203397,0.0001997593,0.000020427424,0.00016296003,0.000030164094,0.9629091,0.028475152,0.0023360003,0.0009604455],"study_design_scores_gemma":[0.00248629,0.0000927029,0.0003392085,0.00005339699,0.00028793674,0.000086409156,0.0013971993,0.028400186,0.8838795,0.079284705,0.0030877998,0.00060465914],"about_ca_topic_score_codex":0.000025748066,"about_ca_topic_score_gemma":0.0000044839835,"teacher_disagreement_score":0.07902958,"about_ca_system_score_codex":0.000031096122,"about_ca_system_score_gemma":0.00006275001,"threshold_uncertainty_score":0.64450896},"labels":[],"label_agreement":null},{"id":"W4206241205","doi":"10.1093/bioinformatics/btab874","title":"SPEQ: quality assessment of peptide tandem mass spectra with deep learning","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tandem; Computer science; Quality (philosophy); Peptide; Quality assurance; Quality assessment; Artificial intelligence; Chemistry; Evaluation methods; Materials science; Reliability engineering; Physics; Biochemistry; Engineering; External quality assessment; Operations management","score_opus":0.021111677440230032,"score_gpt":0.3115698301347636,"score_spread":0.29045815269453357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206241205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06448452,0.00002951041,0.78754294,0.00008194507,0.000007339614,0.00009123613,0.00001575386,0.00012241385,0.14762436],"genre_scores_gemma":[0.25867087,0.00009155204,0.74035895,0.000026504793,0.00002311053,0.000020768399,0.000058144422,0.000011360856,0.0007387246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991562,0.0000074651507,0.0003905154,0.00009488933,0.00019839639,0.00015254054],"domain_scores_gemma":[0.99917126,0.000050082417,0.00029360488,0.00032238802,0.00011268542,0.000049988175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012049216,0.00010634556,0.00018318734,0.00001649019,0.00007727332,0.000024655888,0.00011683493,0.000063064974,0.00023083895],"category_scores_gemma":[0.000029726354,0.000094814604,0.00005137436,0.00012243347,0.000045253408,0.00009889034,0.000047594043,0.00022317789,0.0000051974353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005595275,0.00065790315,0.18136244,0.0036391863,0.0004346985,0.00003284705,0.0028583114,0.008320505,0.5389195,0.21692847,0.00044002058,0.046350155],"study_design_scores_gemma":[0.000985392,0.000090718095,0.0038332918,0.00023052655,0.00007035663,0.00004374062,0.005633979,0.050009474,0.9094948,0.006287658,0.022662725,0.00065731915],"about_ca_topic_score_codex":0.000004277056,"about_ca_topic_score_gemma":0.0000063206676,"teacher_disagreement_score":0.3705753,"about_ca_system_score_codex":0.0000698396,"about_ca_system_score_gemma":0.00008365272,"threshold_uncertainty_score":0.38664272},"labels":[],"label_agreement":null},{"id":"W4206295211","doi":"10.1385/1597452149","title":"Cardiovascular Proteomics","year":2006,"lang":"en","type":"book","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; University of California, San Diego; University of Toronto; Universiteit van Amsterdam; Centro Nacional de Investigaciones Cardiovasculares; Fudan University; Universiteit Antwerpen; Queen's University; Syddansk Universitet; University College Dublin; Consejo Superior de Investigaciones Científicas; University of South Dakota; Institut National de la Santé et de la Recherche Médicale; Johns Hopkins University; Rensselaer Polytechnic Institute","keywords":"Proteomics; Computer science; Computational biology; Chemistry; Biology; Biochemistry","score_opus":0.030084617770000346,"score_gpt":0.25369625774111876,"score_spread":0.2236116399711184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206295211","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007705003,0.004848692,0.011629918,0.000002411855,0.000027955717,0.0007482165,0.00020413952,0.0006275267,0.98190343],"genre_scores_gemma":[0.000034727207,0.00023601016,0.015582743,0.000025280684,0.00090102415,0.0015288123,0.00042252752,0.00020467635,0.9810642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981652,0.000008556265,0.00042981762,0.0006919578,0.00034801124,0.00035648106],"domain_scores_gemma":[0.9977974,0.000019476627,0.00026838848,0.0017391837,0.000093918905,0.00008163109],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008362452,0.00047828394,0.00058175315,0.000052485237,0.00018769022,0.000072855946,0.0006428297,0.0006517375,0.000084783875],"category_scores_gemma":[0.00000442691,0.0005295385,0.0006290578,0.0000054348934,0.000154845,0.000029088678,0.00025144388,0.0007879843,0.000021063852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003677068,0.000089653506,4.827164e-7,0.0024990044,0.0015301928,0.00011333437,0.000114609466,0.00038494694,0.0029362477,0.5290455,0.36532196,0.09792727],"study_design_scores_gemma":[0.00018092446,0.000005766524,7.050233e-8,0.00016008924,0.00021378587,0.0000085673055,5.7342476e-7,0.000023354187,0.029199662,0.03986133,0.9298128,0.0005331122],"about_ca_topic_score_codex":0.0001248003,"about_ca_topic_score_gemma":0.000008377237,"teacher_disagreement_score":0.5644908,"about_ca_system_score_codex":0.00024793847,"about_ca_system_score_gemma":0.00011449186,"threshold_uncertainty_score":0.9997156},"labels":[],"label_agreement":null},{"id":"W4206353179","doi":"10.1002/9780470117118.ch13b","title":"Enhanced Proteomic Analysis by HPLC Prefractionation","year":2006,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chromatography; Chemistry; Computer science; Computational biology; Biology","score_opus":0.0047738014997254505,"score_gpt":0.25977079458264696,"score_spread":0.2549969930829215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206353179","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003581991,0.000040713396,0.4302469,0.000027380262,0.0000054035145,0.00020587756,0.00018163153,0.00056802545,0.5686883],"genre_scores_gemma":[0.0010607848,0.00009072098,0.08004717,0.000024091954,0.00015803362,0.0010182393,0.0022876284,0.00023993554,0.9150734],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904686,0.0000043807336,0.00021882789,0.00042194128,0.00015460314,0.00015339906],"domain_scores_gemma":[0.9991209,0.000010330275,0.00032428477,0.00047753312,0.000030301528,0.000036655372],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000024520696,0.00022332379,0.00025778564,0.00016570275,0.000044236425,0.000024504285,0.00018536476,0.0003874431,0.011503834],"category_scores_gemma":[0.000004978021,0.00022271783,0.00014544654,0.0002850707,0.000028365355,0.000031337095,0.000028688695,0.00019938221,0.00007502429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029575908,0.0000744813,0.000027288923,0.000045087152,0.0002514581,1.3120608e-7,0.0000014021131,0.000013477697,0.26468134,0.0012575379,0.7319351,0.0017097269],"study_design_scores_gemma":[0.000075689466,0.0000021130345,0.0000021777469,0.000014994816,0.00016984965,2.0396014e-7,0.0000012383182,0.00010497116,0.41004583,0.00086691004,0.58848256,0.00023343238],"about_ca_topic_score_codex":0.0006171095,"about_ca_topic_score_gemma":0.000117202035,"teacher_disagreement_score":0.35019973,"about_ca_system_score_codex":0.000101381935,"about_ca_system_score_gemma":0.000019732417,"threshold_uncertainty_score":0.9893998},"labels":[],"label_agreement":null},{"id":"W4206401529","doi":"10.3791/2812-v","title":"Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canary Foundation; National Cancer Institute; Entertainment Industry Foundation; Paul G. Allen Family Foundation; W. M. Keck Foundation","keywords":"Chemistry; Peptide; Quantitative proteomics; Mass spectrometry; Chromatography; Isotope dilution; Selected reaction monitoring; Isobaric labeling; Bottom-up proteomics; Immunoassay; Label-free quantification; Tandem mass tag; Trypsin; Tandem mass spectrometry; Protein mass spectrometry; Proteomics; Antibody; Biochemistry; Enzyme; Biology","score_opus":0.05690214194440745,"score_gpt":0.39965656366648455,"score_spread":0.3427544217220771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206401529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70534843,0.00017998712,0.2934041,0.000005126228,0.000018023264,0.000165865,0.00000419826,0.000018955592,0.00085528137],"genre_scores_gemma":[0.63746315,0.00005108042,0.36236387,0.000005174232,0.00002682254,0.000022640234,0.0000027337226,0.000018653449,0.00004587577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867964,0.000020423064,0.0006651458,0.00014732679,0.0003196456,0.00016780074],"domain_scores_gemma":[0.99809235,0.000017906892,0.0012596193,0.0003115682,0.0002431151,0.00007544613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020449975,0.00015458863,0.00031878278,0.000114282906,0.00007368258,0.000014090429,0.00026474407,0.000071835195,0.00038109557],"category_scores_gemma":[0.00002123488,0.00012804725,0.000103218634,0.0001829304,0.00006782407,0.00016712578,0.000033444227,0.00018342858,0.0000017659052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004581016,0.00054124836,0.00088035106,0.00003281495,0.000103322054,0.000004308278,0.00038389268,0.0000134697175,0.9967049,0.00082946586,0.000006240457,0.000041911415],"study_design_scores_gemma":[0.0010483578,0.00020459217,0.0001493034,0.00013802078,0.000043623295,0.000030341222,0.0004941383,0.0003516701,0.9966643,0.0006640221,0.00007336512,0.0001382678],"about_ca_topic_score_codex":0.00005060735,"about_ca_topic_score_gemma":2.627376e-7,"teacher_disagreement_score":0.06895976,"about_ca_system_score_codex":0.00015947665,"about_ca_system_score_gemma":0.00008261967,"threshold_uncertainty_score":0.5221615},"labels":[],"label_agreement":null},{"id":"W4206611230","doi":"10.3390/cells10123449","title":"Mouse Organ-Specific Proteins and Functions","year":2021,"lang":"en","type":"article","venue":"Cells","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute on Aging; National Institute of Allergy and Infectious Diseases; British Columbia Knowledge Development Fund; China Scholarship Council; Mitacs; U.S. Department of Defense; Simon Fraser University; National Institute of General Medical Sciences; Stem Cell Network; National Institutes of Health; National Science Foundation","keywords":"Proteome; Robustness (evolution); Organ system; Proteomics; Protein expression; Diversity (politics); Model organism","score_opus":0.01109074759833118,"score_gpt":0.2253344729377202,"score_spread":0.214243725339389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206611230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.770492,0.0011257265,0.15391757,0.00085435424,0.00005315567,0.00032604125,0.00015738164,0.00059207366,0.0724817],"genre_scores_gemma":[0.5934942,0.0021214397,0.2189525,0.00024834042,0.0003848285,0.00054895534,0.00016976708,0.000095551484,0.18398441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995862,0.000002545429,0.000084373394,0.00018714847,0.000041987347,0.00009772357],"domain_scores_gemma":[0.999589,0.000013794387,0.000026196933,0.00028190346,0.00004121353,0.000047882717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000014821599,0.000064253654,0.00006289638,0.000008811314,0.000096484684,0.000026218668,0.000050700193,0.00005350507,0.001066024],"category_scores_gemma":[0.0000042288716,0.00006799601,0.000021169446,0.00007155786,0.00003195738,0.00003175455,0.00004950905,0.000108414744,0.00007581654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013102664,0.00003120018,0.000033347216,0.0000142466,0.0000030001231,0.000002476367,0.000019269068,0.000002692518,0.9940747,0.0014364998,0.0019852035,0.0023960592],"study_design_scores_gemma":[0.000059954666,0.0000019282018,0.0000030457784,0.000004565924,0.0000023783493,0.000005054855,0.000048418715,0.00000813153,0.72563475,0.0009959787,0.2731756,0.00006018633],"about_ca_topic_score_codex":0.0000018220979,"about_ca_topic_score_gemma":0.000001465302,"teacher_disagreement_score":0.2711904,"about_ca_system_score_codex":0.000018262132,"about_ca_system_score_gemma":0.000016252325,"threshold_uncertainty_score":0.9998471},"labels":[],"label_agreement":null},{"id":"W4206858016","doi":"","title":"Comparaison de méthodes d'enrichissement des phosphopeptides par IMAC ou TiO2 pour leur analyse par spectrométrie de masse","year":2007,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Chemistry","score_opus":0.026399008116293306,"score_gpt":0.29405646044853645,"score_spread":0.26765745233224314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206858016","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3540574,0.0029441072,0.6105022,0.005254554,0.000045880806,0.0006212822,0.00017539538,0.00045491595,0.025944263],"genre_scores_gemma":[0.4291352,0.004122422,0.55305433,0.00013223686,0.00007394487,0.00033586938,0.0005682281,0.00011816947,0.012459603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99224675,0.002753043,0.0014257113,0.0015790982,0.00057641056,0.0014190159],"domain_scores_gemma":[0.99035925,0.002074005,0.0013532242,0.003471665,0.0020328755,0.0007089947],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008038949,0.0009514575,0.0009210726,0.00024858426,0.0011442383,0.0005715652,0.002368954,0.00075442117,0.00087873917],"category_scores_gemma":[0.0012919289,0.0011416338,0.000634505,0.0007912111,0.0008929815,0.00022778052,0.0014446791,0.0018061538,0.00012520423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014767573,0.0039636157,0.12238425,0.0010145328,0.00063819316,0.0000590498,0.009192005,0.0015065499,0.6037141,0.21360259,0.0037419756,0.04003546],"study_design_scores_gemma":[0.00068378163,0.0000013514647,0.007479855,0.001919814,0.0002765173,0.000043253527,0.00047619172,0.014276517,0.88674754,0.057913482,0.029129848,0.0010518797],"about_ca_topic_score_codex":0.0054766634,"about_ca_topic_score_gemma":0.0024551926,"teacher_disagreement_score":0.2830334,"about_ca_system_score_codex":0.0016030428,"about_ca_system_score_gemma":0.0007857979,"threshold_uncertainty_score":0.99910337},"labels":[],"label_agreement":null},{"id":"W4210499727","doi":"10.1016/j.dib.2022.107829","title":"DIA proteomics data from a UPS1-spiked E.coli protein mixture processed with six software tools","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Orbitrap; Computer science; Software; Proteomics; Data mining; File format; Database; Mass spectrometry; Biology; Chemistry; Chromatography; Operating system","score_opus":0.04067681177494153,"score_gpt":0.2868613538484941,"score_spread":0.24618454207355256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210499727","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7880344,0.0003012079,0.1002144,0.00136407,0.00002867258,0.0043520904,0.104246534,0.0008049428,0.0006536896],"genre_scores_gemma":[0.26833296,0.000031961812,0.5895392,0.00047124046,0.00022779357,0.007861727,0.13287665,0.00014895308,0.00050957786],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976441,0.000027913755,0.00038351916,0.0012070605,0.00036878092,0.00036859207],"domain_scores_gemma":[0.99492085,0.00008253942,0.00026540906,0.00459325,0.0000487136,0.00008923317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023380306,0.00027153545,0.000293832,0.00004317898,0.00039391377,0.00012692613,0.0037706625,0.000119904325,0.0006103541],"category_scores_gemma":[0.00029182417,0.0002723125,0.00001895043,0.00040338252,0.000086123466,0.00087518245,0.004717105,0.00084104517,0.0000081292965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018046531,0.0023957014,0.009274028,0.0011586851,0.00022778429,0.00027119796,0.00095421047,0.00038169208,0.91764224,0.0018827659,0.03930669,0.02470037],"study_design_scores_gemma":[0.003064814,0.00012324878,0.0005050184,0.0003967248,0.00008820969,0.00003810336,0.00046966138,0.0041322242,0.25613308,0.009471379,0.7239228,0.0016547107],"about_ca_topic_score_codex":0.00047362607,"about_ca_topic_score_gemma":0.0002205974,"teacher_disagreement_score":0.68461615,"about_ca_system_score_codex":0.00012538554,"about_ca_system_score_gemma":0.00029555766,"threshold_uncertainty_score":0.9999729},"labels":[],"label_agreement":null},{"id":"W4210835957","doi":"10.3791/63503-v","title":"Organic Solvent-Based Protein Precipitation for Robust Proteome Purification Ahead of Mass Spectrometry","year":2022,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mass spectrometry; Protein precipitation; Chromatography; Precipitation; Proteome; Cartridge; Chemistry; Solvent; Pipette; Acetone; Proteomics; Materials science; Biochemistry","score_opus":0.032338311254948945,"score_gpt":0.3843660624265723,"score_spread":0.3520277511716233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210835957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38774282,0.00021450827,0.6106605,0.00016945439,0.00004396119,0.0009688222,0.00005067431,0.000034918554,0.0001143642],"genre_scores_gemma":[0.56019163,0.0000071887157,0.43812674,0.000019711986,0.00007580669,0.0012305101,0.000047645695,0.00004020005,0.00026058848],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840724,0.000042452688,0.0007578687,0.00018679068,0.00042303413,0.00018262448],"domain_scores_gemma":[0.99806315,0.000035584726,0.0013317628,0.0002555316,0.00024625534,0.00006770553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036726045,0.00014411402,0.00028716048,0.0001723858,0.00017448692,0.000020149238,0.00033190128,0.00006207926,0.0006661912],"category_scores_gemma":[0.00007361497,0.00014980126,0.00017432628,0.0002638112,0.00003147952,0.00013257728,0.000038667564,0.00022305721,9.678024e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047422643,0.0005519398,0.000042019325,0.00009193021,0.000044287917,8.2621034e-7,0.00015004206,0.00031976955,0.9973969,0.0006411639,0.00011217929,0.00017475695],"study_design_scores_gemma":[0.0018228822,0.00042718544,0.0000068454387,0.000059020877,0.000026745232,0.000006172613,0.0004159744,0.0011533092,0.99220556,0.0023326192,0.0014041675,0.00013952117],"about_ca_topic_score_codex":0.0000020776258,"about_ca_topic_score_gemma":8.8981196e-8,"teacher_disagreement_score":0.17253375,"about_ca_system_score_codex":0.00034773583,"about_ca_system_score_gemma":0.00015394254,"threshold_uncertainty_score":0.72943264},"labels":[],"label_agreement":null},{"id":"W4210855951","doi":"10.3791/63503","title":"Organic Solvent-Based Protein Precipitation for Robust Proteome Purification Ahead of Mass Spectrometry","year":2022,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mass spectrometry; Protein precipitation; Chromatography; Precipitation; Proteome; Cartridge; Chemistry; Acetone; Solvent; Pipette; Materials science; Biochemistry","score_opus":0.032338311254948945,"score_gpt":0.3843660624265723,"score_spread":0.3520277511716233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210855951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38774282,0.00021450827,0.6106605,0.00016945439,0.00004396119,0.0009688222,0.00005067431,0.000034918554,0.0001143642],"genre_scores_gemma":[0.56019163,0.0000071887157,0.43812674,0.000019711986,0.00007580669,0.0012305101,0.000047645695,0.00004020005,0.00026058848],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840724,0.000042452688,0.0007578687,0.00018679068,0.00042303413,0.00018262448],"domain_scores_gemma":[0.99806315,0.000035584726,0.0013317628,0.0002555316,0.00024625534,0.00006770553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036726045,0.00014411402,0.00028716048,0.0001723858,0.00017448692,0.000020149238,0.00033190128,0.00006207926,0.0006661912],"category_scores_gemma":[0.00007361497,0.00014980126,0.00017432628,0.0002638112,0.00003147952,0.00013257728,0.000038667564,0.00022305721,9.678024e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047422643,0.0005519398,0.000042019325,0.00009193021,0.000044287917,8.2621034e-7,0.00015004206,0.00031976955,0.9973969,0.0006411639,0.00011217929,0.00017475695],"study_design_scores_gemma":[0.0018228822,0.00042718544,0.0000068454387,0.000059020877,0.000026745232,0.000006172613,0.0004159744,0.0011533092,0.99220556,0.0023326192,0.0014041675,0.00013952117],"about_ca_topic_score_codex":0.0000020776258,"about_ca_topic_score_gemma":8.8981196e-8,"teacher_disagreement_score":0.17253375,"about_ca_system_score_codex":0.00034773583,"about_ca_system_score_gemma":0.00015394254,"threshold_uncertainty_score":0.72943264},"labels":[],"label_agreement":null},{"id":"W4210921807","doi":"10.1101/2022.02.07.479414","title":"Comparative assessment of quantification methods for tumor tissue phosphoproteomics","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Innsbruck; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Rijksuniversiteit Groningen; Deutsche Forschungsgemeinschaft; European Respiratory Society; European Commission; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Stable isotope labeling by amino acids in cell culture; Phosphoproteomics; Quantitative proteomics; Robustness (evolution); Proteome; Computational biology; Biology; Computer science; Isobaric labeling; Proteomics; Bioinformatics; Protein phosphorylation; Cell biology; Phosphorylation; Biochemistry","score_opus":0.03891724555133046,"score_gpt":0.37127942930802643,"score_spread":0.33236218375669596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210921807","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14298497,0.0004712528,0.8519221,0.00009969474,0.0002189266,0.0021400454,0.0016965329,0.00039794174,0.000068533824],"genre_scores_gemma":[0.40929633,0.00008076074,0.58474785,0.000022504817,0.00008175866,0.0056714616,0.0000051006386,0.00008200657,0.000012255315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99747884,0.00008060098,0.0008396092,0.0010035791,0.00024075455,0.0003566215],"domain_scores_gemma":[0.9960484,0.00020803147,0.0013475147,0.0017129427,0.00055646326,0.00012666687],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008032341,0.0004701752,0.00082983007,0.00012727399,0.00025735883,0.000071010516,0.0008498206,0.00029265357,0.000283336],"category_scores_gemma":[0.0000983736,0.0005669817,0.00020154387,0.00029913627,0.0001295814,0.000077503086,0.0005813754,0.0008517337,0.0000022516754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027200234,0.00020551345,0.00033688688,0.0006914058,0.000098674325,8.170505e-7,0.000009044303,0.00045368687,0.985258,0.012819768,0.00008994228,0.000009060713],"study_design_scores_gemma":[0.00026279097,0.00003687332,0.00057831674,0.000114690665,0.00010974315,7.763025e-9,0.000010555345,0.006023187,0.96401334,0.00013501928,0.028167702,0.0005477512],"about_ca_topic_score_codex":0.00003820595,"about_ca_topic_score_gemma":4.3456788e-7,"teacher_disagreement_score":0.26717427,"about_ca_system_score_codex":0.0005155021,"about_ca_system_score_gemma":0.0006001123,"threshold_uncertainty_score":0.9996782},"labels":[],"label_agreement":null},{"id":"W4211013589","doi":"10.1002/mas.20297","title":"Subcellular phosphoproteomics","year":2010,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Phosphorylation; Chemistry; Protein phosphorylation; Proteomics; Cell fractionation; Cell biology; Protein subcellular localization prediction; Biochemistry; Kinase; Protein kinase A; Computational biology; Biology; Enzyme","score_opus":0.03900424058015013,"score_gpt":0.3302584987375838,"score_spread":0.29125425815743367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211013589","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.9703516e-7,0.96094424,0.015358317,0.0000222049,0.00011268812,0.0017580288,0.0001445736,0.0003639437,0.021295495],"genre_scores_gemma":[4.7569095e-8,0.7912918,0.20018364,0.00002448033,0.0005728582,0.002447593,0.00039939157,0.00019713609,0.004883099],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99627185,0.000051649764,0.0016365036,0.001098251,0.0002600989,0.0006816358],"domain_scores_gemma":[0.99564004,0.00009557947,0.0014242402,0.0025542448,0.000045075434,0.00024081109],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00051043014,0.0010328027,0.0036603925,0.00022656306,0.00018040542,0.00011173063,0.0014538415,0.0011238044,0.004506911],"category_scores_gemma":[0.00015055908,0.0008505658,0.001680226,0.00093743776,0.00011135494,0.000083461964,0.00021392984,0.002820002,0.0014966307],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010747976,0.00005101334,9.044302e-7,0.018188415,0.000038662674,0.000009260204,0.0000018648998,1.4051216e-8,0.002359645,0.003328105,0.00077100965,0.97525],"study_design_scores_gemma":[0.00006472053,0.000012151794,6.6627828e-9,0.005354262,0.00049557,0.00007219362,8.454941e-7,0.0000015632085,0.0029260442,0.002590525,0.9876251,0.0008569806],"about_ca_topic_score_codex":0.0000055195737,"about_ca_topic_score_gemma":0.0000013709466,"teacher_disagreement_score":0.98685414,"about_ca_system_score_codex":0.00034997135,"about_ca_system_score_gemma":0.00014408006,"threshold_uncertainty_score":0.99948055},"labels":[],"label_agreement":null},{"id":"W4211185070","doi":"10.1038/s43586-021-00029-y","title":"Subcellular proteomics","year":2021,"lang":"en","type":"article","venue":"Nature Reviews Methods Primers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia; Canada's Michael Smith Genome Sciences Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Advancing Translational Sciences; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institute on Aging","keywords":"Proteomics; Proteome; Organelle; Biology; Cell biology; Protein subcellular localization prediction; Cell fractionation; Computational biology; Quantitative proteomics; Cell; Bioinformatics; Biochemistry; Enzyme; Gene","score_opus":0.029635898674685093,"score_gpt":0.4128733516588744,"score_spread":0.3832374529841893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211185070","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000605509,0.13732618,0.8268476,0.000602359,0.00010261605,0.0005864017,0.000012981245,0.00023674719,0.033679623],"genre_scores_gemma":[0.00013228375,0.021102607,0.97501826,0.00047591448,0.00014177589,0.000361925,0.00005668994,0.000041021918,0.002669534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854726,0.00016354142,0.00042158138,0.00048527488,0.0001228936,0.00025944048],"domain_scores_gemma":[0.9985203,0.00010921311,0.00023408524,0.00091163086,0.00011613237,0.00010861781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008280392,0.0002226189,0.00044723778,0.000026444815,0.00010761069,0.00002748502,0.00030546595,0.000461479,0.00064069487],"category_scores_gemma":[0.0006304909,0.00020135882,0.00026739846,0.00033983358,0.0000475766,0.00006697102,0.00012000073,0.001162279,0.00003719777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030530207,0.000029082801,0.000021139136,0.00017172267,0.0000142595745,0.0000043584946,0.000011969499,6.9720465e-7,0.772153,0.0072150887,0.0005852417,0.2197904],"study_design_scores_gemma":[0.000051870746,0.0000017045193,9.2343134e-7,0.00005203266,0.000023501696,0.000014926709,0.0000054572256,0.000017007727,0.5049492,0.0045840484,0.4901749,0.00012445846],"about_ca_topic_score_codex":0.0000014717929,"about_ca_topic_score_gemma":3.895128e-7,"teacher_disagreement_score":0.48958963,"about_ca_system_score_codex":0.00008657976,"about_ca_system_score_gemma":0.00009542804,"threshold_uncertainty_score":0.82111746},"labels":[],"label_agreement":null},{"id":"W4211195189","doi":"10.3390/molecules27031137","title":"Evaluation of Fast and Sensitive Proteome Profiling of FF and FFPE Kidney Patient Tissues","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Nierstichting","keywords":"Proteome; Repeatability; Chemistry; Proteomics; Molecular biology; Chromatography; Computational biology; Biology; Biochemistry; Gene","score_opus":0.014018952184005474,"score_gpt":0.2777205271603421,"score_spread":0.2637015749763367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211195189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943443,0.00017765528,0.0035964223,0.00008342872,0.0000032152527,0.00037641305,0.00014857008,0.000019159881,0.0012508366],"genre_scores_gemma":[0.96883947,0.000016968423,0.03075083,0.00001457192,0.000004806215,0.00031140275,0.000035459572,0.000008589838,0.00001790458],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994304,0.000025847765,0.00013607428,0.00013636687,0.00021352325,0.00005779948],"domain_scores_gemma":[0.99959916,0.000011749407,0.00012447004,0.000111385845,0.00012627912,0.000026950398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014131614,0.000058976835,0.00009254417,0.00002354146,0.00006241383,0.0000034115571,0.00003251608,0.000020130026,0.00002932074],"category_scores_gemma":[0.000050415547,0.0000604042,0.000013541586,0.00004905799,0.000051346262,0.000019885092,0.00010703726,0.00006445037,7.837393e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011597571,0.00003276663,0.00015107321,0.000060869217,0.000011425814,4.3628856e-7,0.000426396,0.00012414985,0.9828331,0.000872881,0.000009308865,0.015466021],"study_design_scores_gemma":[0.00014484109,0.000047742153,0.00003745195,0.000024740493,0.000029161603,0.0000048419747,0.00056721375,0.004416139,0.99071765,0.003791392,0.00015870806,0.0000601224],"about_ca_topic_score_codex":0.000016906666,"about_ca_topic_score_gemma":4.337268e-7,"teacher_disagreement_score":0.027154408,"about_ca_system_score_codex":0.000024212852,"about_ca_system_score_gemma":0.000033854765,"threshold_uncertainty_score":0.24632117},"labels":[],"label_agreement":null},{"id":"W4212817368","doi":"10.1093/oncolo/oyac047","title":"Circulating Biomarkers for Therapeutic Monitoring of Anti-cancer Agents","year":2022,"lang":"en","type":"review","venue":"The Oncologist","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Microvesicles; Disease; Cancer; Circulating tumor cell; Biomarker discovery; Cancer biomarkers; Disease monitoring; Biomarker; Bioinformatics; Internal medicine; microRNA; Proteomics; Metastasis; Biology","score_opus":0.21134661708314767,"score_gpt":0.4558295552984037,"score_spread":0.24448293821525602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212817368","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008823076,0.99544597,0.0013368359,0.000034035977,0.00009387069,0.0009208944,0.00025364678,0.000094462506,0.0017320373],"genre_scores_gemma":[0.00020771177,0.990723,0.0038416418,0.000008847857,0.00017235466,0.0045719543,0.000056083518,0.000055065728,0.0003633223],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989813,0.0000302346,0.00042297976,0.00026117687,0.000110839814,0.00019346514],"domain_scores_gemma":[0.9983396,0.00039117696,0.00072868465,0.00049616944,0.000023052471,0.000021297783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023943512,0.00020942977,0.00064963725,0.000028570637,0.00026093592,0.000012836436,0.0006358599,0.0001486427,0.00028199426],"category_scores_gemma":[0.000029771132,0.00014795251,0.00036363586,0.00015968364,0.00011390747,0.0000162635,0.00016154726,0.00028541675,0.0000011002559],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034340194,0.000033770946,0.000029024457,0.0044881,0.00020330212,6.2162934e-7,0.00001719439,0.000014230254,0.0004960048,0.0002177146,0.00007353454,0.9944231],"study_design_scores_gemma":[0.0000758714,0.000012079533,8.891163e-7,0.0008392121,0.00037138775,0.000004401177,0.000058492846,0.00002100563,0.0009562384,0.00037772357,0.9971176,0.00016510101],"about_ca_topic_score_codex":0.000022203332,"about_ca_topic_score_gemma":2.9276598e-7,"teacher_disagreement_score":0.9970441,"about_ca_system_score_codex":0.00032730264,"about_ca_system_score_gemma":0.00012376043,"threshold_uncertainty_score":0.6033328},"labels":[],"label_agreement":null},{"id":"W4212968246","doi":"10.1038/s41467-022-28524-0","title":"Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Vancouver General Hospital; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Government of Canada","keywords":"Breast cancer; Immune system; Proteomics; Oncology; Medicine; Triple-negative breast cancer; Cancer; Bioinformatics; Biology; Computational biology; Internal medicine; Immunology; Gene; Genetics","score_opus":0.03892849364393146,"score_gpt":0.3722023467406029,"score_spread":0.3332738530966714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212968246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98846203,0.00031778446,0.00092741224,0.003409547,0.000042037005,0.00034268215,0.0030264074,0.00017390298,0.0032981774],"genre_scores_gemma":[0.98112285,0.00034910077,0.016681073,0.000060767798,0.000031716198,0.00080993364,0.0006535259,0.000019809506,0.00027120457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985903,0.0001420318,0.0005053584,0.00033663714,0.00024140032,0.00018426537],"domain_scores_gemma":[0.996951,0.00046627928,0.000394574,0.0019866414,0.00013793052,0.000063603475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031816785,0.0001680026,0.00047681283,0.00012409323,0.0005013086,0.000019119774,0.001525078,0.000118118674,0.0005501421],"category_scores_gemma":[0.00006331836,0.00013346713,0.00027315578,0.00075145555,0.00044883043,0.000045560104,0.00093208975,0.0014179855,0.0000015277566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010018852,0.0005380939,0.9695331,0.000009615442,0.00091903284,8.519654e-7,0.00005781173,0.00013937565,0.009580995,0.018059216,0.00017164687,0.000890085],"study_design_scores_gemma":[0.00034274036,0.000032678803,0.9889292,0.000012630864,0.00067092275,0.0000067836395,0.00016683967,0.00067571265,0.0020916068,0.0015472234,0.005221048,0.000302593],"about_ca_topic_score_codex":0.00012217359,"about_ca_topic_score_gemma":0.00042078263,"teacher_disagreement_score":0.019396134,"about_ca_system_score_codex":0.00008576296,"about_ca_system_score_gemma":0.000083461135,"threshold_uncertainty_score":0.61605203},"labels":[],"label_agreement":null},{"id":"W4213013050","doi":"10.1126/scisignal.1032001pe33","title":"Cell Signalling - The Proteomics of It All","year":2001,"lang":"en","type":"article","venue":"Science Signaling","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Computational biology; Proteomics; DNA microarray; Biology; Signalling; Resource (disambiguation); Data science; Computer science; Gene; Gene expression; Genetics; Cell biology","score_opus":0.025506130533533698,"score_gpt":0.2941580731413487,"score_spread":0.268651942607815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213013050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7968148,0.00008355345,0.18222956,0.00064430037,0.000017636898,0.00023292062,0.0000050322283,0.00008440017,0.019887786],"genre_scores_gemma":[0.9179728,0.000040601386,0.081440955,0.00012302028,0.000051198644,0.00005586575,0.0000013905018,0.000009856369,0.0003043386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989643,0.0000046958385,0.00023331073,0.00025124746,0.00027510317,0.0002713162],"domain_scores_gemma":[0.999283,0.000060420512,0.00016628139,0.00032383675,0.00011022725,0.00005624397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005254389,0.00009058721,0.00009085299,0.000038267535,0.00029482722,0.000044291824,0.00072377035,0.00003943823,0.00017865225],"category_scores_gemma":[0.000038913815,0.00006782494,0.000048712736,0.00040548557,0.00037597,0.00014073792,0.00009961558,0.00017439714,0.0000075682615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038182884,0.000018596342,0.00011439893,0.000010889737,0.0000012590361,5.535909e-7,0.00017519371,0.002042918,0.9958889,0.0013382835,0.000019228963,0.00038597255],"study_design_scores_gemma":[0.000057962425,0.000007938939,0.0000014330799,0.000029198533,0.0000059629338,0.000004177313,0.00027085567,0.0041334676,0.98429185,0.008877497,0.0022277276,0.00009191848],"about_ca_topic_score_codex":0.000019908864,"about_ca_topic_score_gemma":6.906705e-7,"teacher_disagreement_score":0.12115797,"about_ca_system_score_codex":0.000042604406,"about_ca_system_score_gemma":0.00009792045,"threshold_uncertainty_score":0.2765821},"labels":[],"label_agreement":null},{"id":"W4220703697","doi":"10.1101/2022.03.01.482566","title":"Comparing Machine Learning Architectures for the Prediction of Peptide Collisional Cross Section","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Transformer; Deep learning; Mass spectrometry; Artificial intelligence; Data mining; Machine learning; Chemistry; Chromatography; Engineering","score_opus":0.019412658929522094,"score_gpt":0.25992841917543136,"score_spread":0.24051576024590926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220703697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92715484,0.00054122333,0.06898432,0.000070571376,0.00029050378,0.0008490061,0.0015889088,0.00048529427,0.000035357258],"genre_scores_gemma":[0.9793781,0.00011843969,0.017687153,0.000018675282,0.00047318276,0.00218417,0.0000062240274,0.00009860133,0.00003542127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825984,0.000034426215,0.0005121288,0.00060519547,0.00030806698,0.00028031407],"domain_scores_gemma":[0.99801487,0.00024157375,0.0006352853,0.0007744439,0.00026260328,0.000071230985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040006769,0.00031607982,0.0003458553,0.00009467799,0.00069277943,0.00008568922,0.00055895763,0.0002527235,0.00013054405],"category_scores_gemma":[0.00017347062,0.0002994171,0.00020898029,0.00020320328,0.00012666041,0.000029409792,0.00059068995,0.0013531835,7.435081e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013413017,0.000104099374,0.055037886,0.0006018263,0.00016124643,0.0000010197282,0.000016255626,0.12638265,0.8166932,0.0007787355,0.00008522857,0.000003707563],"study_design_scores_gemma":[0.00065013627,0.00005598016,0.027133351,0.00023379606,0.00015939417,5.8142927e-8,0.0000087590715,0.08298127,0.85123396,0.00006338391,0.036964152,0.0005157681],"about_ca_topic_score_codex":0.000093591545,"about_ca_topic_score_gemma":0.00000309422,"teacher_disagreement_score":0.05222332,"about_ca_system_score_codex":0.0002609426,"about_ca_system_score_gemma":0.00016996812,"threshold_uncertainty_score":0.9999458},"labels":[],"label_agreement":null},{"id":"W4220749097","doi":"10.1016/j.bbrc.2022.03.130","title":"Loss of detection of fatty acid-metabolizing proteins in Western blot analyses – Impact of sample heating","year":2022,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dr. Georges-L.-Dumont University Hospital Centre; Université de Moncton","funders":"Canadian Institutes of Health Research; New Brunswick Innovation Foundation; Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Chromatography; Fatty acid; Blot; Western blot; Chemistry; Gel electrophoresis; Polyacrylamide gel electrophoresis; Biochemistry; Enzyme; Gene","score_opus":0.11238730063651979,"score_gpt":0.4465521614898719,"score_spread":0.3341648608533521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220749097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713236,0.00044846494,0.0016892559,0.00010788588,9.774312e-7,0.0002146142,0.000302123,0.000014628829,0.00008967701],"genre_scores_gemma":[0.9872881,0.00024961724,0.01206802,0.0000015612926,0.000010436402,0.00031144204,0.00005396098,0.000009615486,0.000007248215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988576,0.00009879228,0.00038214846,0.00018109419,0.00029547716,0.00018487086],"domain_scores_gemma":[0.99832976,0.0004762165,0.00016098376,0.00078335655,0.00018930603,0.00006039558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029378643,0.00008675912,0.0002504494,0.000120433375,0.00017062342,0.0000064412634,0.0005820135,0.000051352123,0.000023844474],"category_scores_gemma":[0.00030296,0.000079044315,0.00011456344,0.00076922454,0.00054068747,0.000042901138,0.00083044195,0.0004981755,1.6939244e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004553438,0.00050950184,0.0050331284,0.00008682521,0.000020323452,7.490692e-8,0.00007871714,0.000015121379,0.99158823,0.0006166954,0.0000011279996,0.0020047254],"study_design_scores_gemma":[0.00016895922,0.000098612465,0.0015797617,0.00004377786,0.000007973176,9.837676e-7,0.00014602148,0.0011510887,0.993669,0.0030118094,0.000052981035,0.00006906889],"about_ca_topic_score_codex":0.0019702243,"about_ca_topic_score_gemma":0.000018176988,"teacher_disagreement_score":0.010378764,"about_ca_system_score_codex":0.000081995226,"about_ca_system_score_gemma":0.000069360416,"threshold_uncertainty_score":0.32233337},"labels":[],"label_agreement":null},{"id":"W4220941991","doi":"10.1002/dta.3249","title":"Detection of insulin analogues and large peptides &gt;2 kDa in urine","year":2022,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chromatography; Detection limit; Chemistry; Urine; Insulin; Solid phase extraction; Extraction (chemistry); Peptide; Ion suppression in liquid chromatography–mass spectrometry; Elution; Tandem mass spectrometry; Mass spectrometry; Biochemistry; Endocrinology; Biology","score_opus":0.011633222974129576,"score_gpt":0.2515062152642365,"score_spread":0.23987299229010692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220941991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666137,0.00030391198,0.0024951743,0.000037435188,0.0000012331099,0.000028103566,0.000049705424,0.000047214475,0.00037583234],"genre_scores_gemma":[0.99112767,0.000055889705,0.008606995,0.000009536795,0.000009601674,0.000051786596,0.000028650638,0.0000055269684,0.000104370476],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949443,0.00001259374,0.00017020517,0.000171394,0.00006329522,0.00008809891],"domain_scores_gemma":[0.9996315,0.00010125081,0.00010384801,0.00011659572,0.000023417517,0.00002333457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659118,0.000061485574,0.00014932478,0.00013827065,0.00014296966,0.000008299009,0.000050920426,0.000015650512,0.000020031883],"category_scores_gemma":[0.0000845047,0.00006558586,0.000032615666,0.0007028054,0.000023481998,0.000025668374,0.00010025895,0.00011778664,8.5990905e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015446487,0.00016614971,0.5995168,0.0001004412,0.00012985844,0.0000044849876,0.00047778842,0.001846252,0.35478273,0.0002874016,0.000007131554,0.042665485],"study_design_scores_gemma":[0.0018557563,0.000116782096,0.08884877,0.000116133204,0.0013133523,0.00003616224,0.004381197,0.445214,0.4271431,0.025705257,0.0041765845,0.001092926],"about_ca_topic_score_codex":0.00036441055,"about_ca_topic_score_gemma":0.00012716443,"teacher_disagreement_score":0.51066804,"about_ca_system_score_codex":0.000017208855,"about_ca_system_score_gemma":0.0000051430115,"threshold_uncertainty_score":0.26745138},"labels":[],"label_agreement":null},{"id":"W4221000009","doi":"10.1101/2022.03.21.485119","title":"Deep topographic proteomics of a human brain tumour","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"NIHR Oxford Biomedical Research Centre; Alzheimer Society; National Institute for Health and Care Research; Chinese Academy of Medical Sciences; Medical Research Council; Pfizer","keywords":"Proteomics; Proteome; Context (archaeology); Computational biology; Biology; Extracellular matrix; Workflow; Phenotype; Quantitative proteomics; Function (biology); Brain tissue; Pathology; Neuroscience; Computer science; Cell biology; Bioinformatics; Medicine; Genetics; Gene","score_opus":0.012802772351880494,"score_gpt":0.24973824618714702,"score_spread":0.23693547383526653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221000009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778608,0.00046792164,0.018597865,0.00027778896,0.00010957358,0.0011812788,0.0005042155,0.00084671,0.00015382755],"genre_scores_gemma":[0.92820376,0.00012226499,0.06840638,0.00009014165,0.00021460162,0.0027508575,0.00000250214,0.00018889623,0.000020581652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973095,0.00004834981,0.0007731996,0.0010082513,0.00038145093,0.00047921913],"domain_scores_gemma":[0.9966521,0.000053662938,0.00091500016,0.0019231585,0.000270946,0.00018508837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038597744,0.000539182,0.0006378515,0.00024684513,0.00030891784,0.00007316437,0.0011812433,0.00049379887,0.0005745899],"category_scores_gemma":[0.00010093595,0.00066768937,0.0003101552,0.00048957043,0.00018158402,0.000075469274,0.0011894427,0.0014834133,0.000005360449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013529488,0.0001807684,0.0021602495,0.0006474349,0.00007380469,0.000010894382,0.000007855253,0.00010819562,0.98911726,0.00758347,0.00009565772,8.671005e-7],"study_design_scores_gemma":[0.00030774708,0.00003704774,0.0015536684,0.00021087006,0.00007192007,1.7085458e-8,0.000006466396,0.0002800644,0.9929497,0.00024223299,0.0035732167,0.0007670433],"about_ca_topic_score_codex":0.000067778135,"about_ca_topic_score_gemma":0.0000025122622,"teacher_disagreement_score":0.049808513,"about_ca_system_score_codex":0.00027420546,"about_ca_system_score_gemma":0.00028099483,"threshold_uncertainty_score":0.9995774},"labels":[],"label_agreement":null},{"id":"W4221053491","doi":"10.1016/j.aca.2022.339695","title":"DIA-MS proteome analysis of formalin-fixed paraffin-embedded glioblastoma tissues","year":2022,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Infrastruktura PL-Grid; Fundacja na rzecz Nauki Polskiej; European Commission; European Regional Development Fund; Genome British Columbia; Genome Canada","keywords":"Proteome; Chemistry; Proteomics; Quantitative proteomics; Lysis; Mass spectrometry; Molecular biology; Computational biology; Chromatography; Biochemistry; Biology; Gene","score_opus":0.010641488001991444,"score_gpt":0.27259269739659864,"score_spread":0.2619512093946072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221053491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861991,0.000019500996,0.0012408384,0.0011440176,0.000017606353,0.0004487593,0.0004497621,0.00034584347,0.010134602],"genre_scores_gemma":[0.98759747,0.00003766349,0.010139902,0.0001001609,0.000043191165,0.00056137075,0.00028135485,0.00004007522,0.0011988076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809563,0.000028023924,0.00060476706,0.00048385176,0.0004029715,0.00038476847],"domain_scores_gemma":[0.99826497,0.00010016391,0.00042442014,0.0009962621,0.000085993655,0.00012816457],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017240933,0.0002486356,0.0005830782,0.00034490527,0.0002778981,0.000028411532,0.00071751967,0.00009031316,0.0026545806],"category_scores_gemma":[0.00004855283,0.00025845328,0.00040601863,0.0016006593,0.00010901519,0.00011396282,0.00040354134,0.0003813125,0.000010607342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016211074,0.00043845284,0.0005946852,0.000059035192,0.0012714106,0.000005170734,0.00034110935,0.00021364605,0.9885785,0.0070504392,0.00096610654,0.00031931378],"study_design_scores_gemma":[0.00040365796,0.00013576902,0.00018005534,0.000014992928,0.0014858373,0.000009707345,0.00023062307,0.022797909,0.95177555,0.004464769,0.017988056,0.0005130859],"about_ca_topic_score_codex":0.000022138065,"about_ca_topic_score_gemma":0.000024730123,"teacher_disagreement_score":0.03680298,"about_ca_system_score_codex":0.00011417651,"about_ca_system_score_gemma":0.00005799426,"threshold_uncertainty_score":0.99998677},"labels":[],"label_agreement":null},{"id":"W4221113494","doi":"10.1093/gigascience/giac005","title":"Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework","year":2022,"lang":"en","type":"article","venue":"GigaScience","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft","keywords":"Cloud computing; Data science; Proteomics; Computer science; Galaxy; Astrophysics; Chemistry; Physics","score_opus":0.02169270853131717,"score_gpt":0.28820264880154306,"score_spread":0.2665099402702259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221113494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21941315,0.00004083504,0.77624756,0.0022251531,0.000067497844,0.00033633137,0.00022017844,0.00018137737,0.0012679199],"genre_scores_gemma":[0.91835195,0.000011261458,0.08027693,0.00060071074,0.00012351676,0.00039899896,0.00015199835,0.000013599977,0.00007104088],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817324,0.000040228188,0.00025286575,0.0006212789,0.00059039594,0.00032197175],"domain_scores_gemma":[0.99782884,0.0001056632,0.0002333411,0.0017050969,0.000047943202,0.000079104364],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005349514,0.00015077156,0.00014727312,0.00009680343,0.0015086049,0.0001685088,0.0020289128,0.000062128536,0.00092910655],"category_scores_gemma":[0.000091439644,0.00012140448,0.00007858933,0.0012749102,0.00015533829,0.0002119105,0.0010221011,0.00066223444,0.000007167329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104242434,0.0003715379,0.016865656,0.000052798656,0.0003806982,0.000020792462,0.0015793561,0.064541094,0.6986272,0.1823816,0.0033411963,0.03173386],"study_design_scores_gemma":[0.00036763347,0.00014161601,0.0049195737,0.000033248103,0.00036390565,0.000098965895,0.001478958,0.13197568,0.2785096,0.5615755,0.019335551,0.0011998229],"about_ca_topic_score_codex":0.000024263578,"about_ca_topic_score_gemma":0.0000074327863,"teacher_disagreement_score":0.6989388,"about_ca_system_score_codex":0.0001723926,"about_ca_system_score_gemma":0.00008032249,"threshold_uncertainty_score":0.9999842},"labels":[],"label_agreement":null},{"id":"W4224008607","doi":"10.1002/path.5905","title":"Integrating computational pathology and proteomics to address tumor heterogeneity","year":2022,"lang":"en","type":"review","venue":"The Journal of Pathology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Brain Tumour Foundation of Canada; Terry Fox Research Institute; Ontario Institute for Cancer Research","keywords":"Proteomics; Proteogenomics; Computational biology; Precision medicine; Data science; Computer science; Biology; Bioinformatics; Medicine; Pathology; Genomics; Genome","score_opus":0.05244790506074915,"score_gpt":0.3655013408201079,"score_spread":0.31305343575935873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224008607","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005850653,0.94853777,0.044093568,0.00016144109,0.00009945918,0.00069541094,0.00023108948,0.00003667126,0.00029392337],"genre_scores_gemma":[0.00014649726,0.9078229,0.09127795,0.00018665931,0.00020509418,0.00024145537,0.00003282551,0.00005313001,0.000033511038],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834144,0.00026359264,0.00083435257,0.00021062721,0.00014197963,0.00020800115],"domain_scores_gemma":[0.99779606,0.00047171992,0.0012582378,0.00030535803,0.00008460222,0.00008402097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082579773,0.00025916658,0.00095221534,0.00011466239,0.0002164542,0.00001621149,0.00061819516,0.00014673997,0.00012785796],"category_scores_gemma":[0.00018221387,0.00017543213,0.0002022532,0.00013201588,0.00013502309,0.000032677537,0.0004095357,0.0012399364,0.0000034347097],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010147395,0.00019013736,0.000018315579,0.004065248,0.00019732655,0.001413082,0.0007018978,0.0004532572,0.003183136,0.0033651777,0.00042307755,0.9858879],"study_design_scores_gemma":[0.00022758848,0.00024149708,0.0000016166523,0.001156123,0.00047108813,0.05934863,0.00013940486,0.000035306304,0.00046375042,0.0068800007,0.9306599,0.00037512823],"about_ca_topic_score_codex":0.0000015624082,"about_ca_topic_score_gemma":0.0000021027774,"teacher_disagreement_score":0.98551273,"about_ca_system_score_codex":0.00012241352,"about_ca_system_score_gemma":0.00016317837,"threshold_uncertainty_score":0.71539146},"labels":[],"label_agreement":null},{"id":"W4224215371","doi":"10.3390/ijms23084443","title":"A Non-Hazardous Deparaffinization Protocol Enables Quantitative Proteomics of Core Needle Biopsy-Sized Formalin-Fixed and Paraffin-Embedded (FFPE) Tissue Specimens","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University; Jewish General Hospital","funders":"Warren Y. Soper Charitable Trust; Jewish General Hospital; Terry Fox Research Institute; Fonds de Recherche du Québec - Santé; Fondation De Famille Alvin Segal; Canadian Institutes of Health Research; Genome Canada; McGill University","keywords":"Proteome; In situ; Chemistry; Xylene; Proteomics; Chromatography; Pathology; Medicine; Biochemistry","score_opus":0.022055534085568467,"score_gpt":0.3435499793196195,"score_spread":0.321494445234051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224215371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8936285,0.00006453261,0.100320466,0.00056411856,0.00007583687,0.0043529426,0.00006833977,0.00002307826,0.0009022256],"genre_scores_gemma":[0.77277094,0.000014520175,0.22404298,0.000055495537,0.000038737664,0.0030105384,0.000009964416,0.000013042746,0.00004376173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833816,0.00002048457,0.00061351474,0.00019821874,0.00068024214,0.00014939917],"domain_scores_gemma":[0.9982949,0.000058062862,0.0010433177,0.00011728993,0.00042658407,0.000059848848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046539144,0.00012973939,0.00021735793,0.00019644633,0.00018176297,0.00006390365,0.00068847724,0.00004075399,0.000121292],"category_scores_gemma":[0.00008841364,0.00011891768,0.00008112439,0.00027119677,0.00022232834,0.00021594744,0.00021967101,0.00019540894,6.8401977e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022473511,0.00015297468,0.00036238247,0.00002233475,0.00005245155,0.0000373157,0.0004318286,0.0066459365,0.982302,0.0088176625,0.00003725895,0.0009131229],"study_design_scores_gemma":[0.0010450552,0.0003363008,0.000050435494,0.00006415118,0.00001716907,0.00035657967,0.0008045042,0.005584432,0.98063594,0.009410604,0.0015312185,0.00016359461],"about_ca_topic_score_codex":0.000015514866,"about_ca_topic_score_gemma":0.0000017757243,"teacher_disagreement_score":0.12372252,"about_ca_system_score_codex":0.00008062125,"about_ca_system_score_gemma":0.00023533744,"threshold_uncertainty_score":0.4849322},"labels":[],"label_agreement":null},{"id":"W4225083960","doi":"10.1093/molbev/msac087","title":"Low Complexity Regions in Mammalian Proteins are Associated with Low Protein Abundance and High Transcript Abundance","year":2022,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biology; Abundance (ecology); Evolutionary biology; Translation (biology); Messenger RNA; Genetics; Computational biology; Gene; Ecology","score_opus":0.00901389144397533,"score_gpt":0.23721674373899698,"score_spread":0.22820285229502166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225083960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8928086,0.000292747,0.10511716,0.0009543313,0.0000067230167,0.0005038907,0.0001432884,0.000082078484,0.00009116345],"genre_scores_gemma":[0.9927538,0.000012806735,0.005679426,0.000075802585,0.000009363731,0.0011470832,0.00015450995,0.000016462933,0.00015072321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990747,0.00007032448,0.0001644585,0.00038399274,0.00006781657,0.00023870364],"domain_scores_gemma":[0.9995715,0.000009457319,0.00013616668,0.00020457216,0.000031460684,0.00004685616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112025,0.00014461727,0.00017647652,0.000045030236,0.00035876906,0.000009976647,0.000114310125,0.000119150536,0.00002508962],"category_scores_gemma":[0.000019852192,0.00014916736,0.000023785915,0.00018260765,0.00029991087,0.00004395225,0.00006105109,0.00035396733,4.009046e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015712096,0.00023495663,0.010979195,0.00009038234,0.000019663388,0.000020286436,0.00008316921,0.00013979146,0.90671533,0.08122664,0.00001596231,0.0003175103],"study_design_scores_gemma":[0.0038689447,0.00069659576,0.059811983,0.00047973043,0.000054627868,0.00010989888,0.00042095772,0.002512905,0.50763816,0.42154303,0.0015760146,0.0012871705],"about_ca_topic_score_codex":0.0001895563,"about_ca_topic_score_gemma":0.00030458724,"teacher_disagreement_score":0.39907718,"about_ca_system_score_codex":0.00014803815,"about_ca_system_score_gemma":0.000030968025,"threshold_uncertainty_score":0.60828686},"labels":[],"label_agreement":null},{"id":"W4225545880","doi":"10.1038/s41597-022-01216-6","title":"A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Agence Nationale de la Recherche","keywords":"Computer science; Data acquisition; Benchmark (surveying); Data mining; Proteomics; Data science; Biology","score_opus":0.045270968687654976,"score_gpt":0.32205059355483034,"score_spread":0.2767796248671754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225545880","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34738302,0.00024656128,0.035245504,0.0009575662,0.00042572716,0.0017713011,0.604244,0.00037929104,0.009347017],"genre_scores_gemma":[0.5382797,0.000015026606,0.032111894,0.00020694235,0.00006847872,0.00082514464,0.4275656,0.00003366972,0.00089355046],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833727,0.000031831354,0.00023082929,0.0008481873,0.00030965736,0.00024224831],"domain_scores_gemma":[0.99725974,0.000042200645,0.00011197353,0.0025095255,0.00002875502,0.000047835052],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039646952,0.00012779923,0.00011938873,0.0000878115,0.0005055347,0.00022076847,0.0015377965,0.00003603692,0.0009641877],"category_scores_gemma":[0.000015272602,0.00014078611,0.00001799938,0.0002963186,0.00013752125,0.00031597354,0.0016686764,0.00032900774,0.000026680238],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090782254,0.00055864005,0.00007291542,0.000103218284,0.000014703649,0.000025433816,0.000382989,0.007398316,0.72443473,0.010469275,0.24982274,0.006626266],"study_design_scores_gemma":[0.00061768264,0.00004222092,0.000058263144,0.000052641928,0.000015133676,0.000016247728,0.001580181,0.04869705,0.058660757,0.08167274,0.80804133,0.0005457398],"about_ca_topic_score_codex":0.00003574375,"about_ca_topic_score_gemma":0.000022259066,"teacher_disagreement_score":0.665774,"about_ca_system_score_codex":0.00010977589,"about_ca_system_score_gemma":0.00010773355,"threshold_uncertainty_score":0.99994904},"labels":[],"label_agreement":null},{"id":"W4229449348","doi":"10.1038/s41592-022-01454-x","title":"Understudied proteins: opportunities and challenges for functional proteomics","year":2022,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":221,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Biotechnology and Biological Sciences Research Council; University of California, San Diego; Science for Life Laboratory; Department of Biochemistry, University of Cambridge; University of Toronto; Kungliga Tekniska Högskolan; Deutsche Forschungsgemeinschaft; Westlake University; Wellcome; European Molecular Biology Laboratory; European Bioinformatics Institute; Medical Research Council; Technische Universität Berlin; Francis Crick Institute; Wellcome Trust","keywords":"Computational biology; Proteomics; Function (biology); Protein function; Biology; Data science; Posttranslational modification; Bioinformatics; Computer science; Genetics; Gene; Biochemistry","score_opus":0.15456513533166413,"score_gpt":0.3857849533647095,"score_spread":0.2312198180330454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229449348","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022239287,0.017108591,0.9532703,0.014187583,0.00013095498,0.0015898544,0.00020837953,0.00036967723,0.01091074],"genre_scores_gemma":[0.006901799,0.001552212,0.9820642,0.00028485144,0.00014593297,0.007470219,0.000054753953,0.000033169574,0.0014928554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926126,0.00004415143,0.00013883741,0.0002882763,0.000114084476,0.00015337652],"domain_scores_gemma":[0.9993843,0.00018616767,0.0000983809,0.00022259673,0.00006595343,0.000042644777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005087184,0.00012385267,0.00014935048,0.000039903738,0.00045420436,0.000012744592,0.0001256265,0.00014427307,0.000098575954],"category_scores_gemma":[0.00010415797,0.00012504468,0.00005644751,0.000051056795,0.00005522099,0.000041490122,0.00016923544,0.00055425515,1.0147232e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023534529,0.00014581058,0.000016032565,0.00052756176,0.000111646375,0.0000019807583,0.0003056239,0.00004554362,0.18075468,0.60963213,0.0010974924,0.20712613],"study_design_scores_gemma":[0.00042172882,0.00006306059,0.000014128717,0.000009805585,0.00002663094,0.000024216384,0.0016636411,0.00038019312,0.12093996,0.15690404,0.71931547,0.00023712564],"about_ca_topic_score_codex":0.0000011534095,"about_ca_topic_score_gemma":8.0898513e-7,"teacher_disagreement_score":0.71821797,"about_ca_system_score_codex":0.00008010409,"about_ca_system_score_gemma":0.00004748197,"threshold_uncertainty_score":0.5099174},"labels":[],"label_agreement":null},{"id":"W4229588228","doi":"10.1007/978-1-4614-6170-8_100255","title":"Two-Mode Graph","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.012958382099772129,"score_gpt":0.2766666404882317,"score_spread":0.26370825838845957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229588228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000378914,0.00004689306,0.11721975,0.00007605921,0.00000993144,0.00008067577,0.000045187844,0.00038130398,0.8821364],"genre_scores_gemma":[0.00066891895,0.00011390875,0.058539044,0.00017434965,0.00021730883,0.00007100275,0.0001263205,0.00007219747,0.9400169],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992725,5.415389e-7,0.00019328967,0.00030635216,0.0000978152,0.00012945697],"domain_scores_gemma":[0.9991205,0.000021223728,0.00012450505,0.0006319288,0.000039412505,0.000062446175],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000021273203,0.000220794,0.00020288922,0.000032620563,0.000055790446,0.000013821244,0.00023806757,0.00026075298,0.008721572],"category_scores_gemma":[0.0000021624526,0.00021204287,0.00013939377,0.0000067811507,0.000054044107,0.000012522351,0.00007492335,0.00032061758,0.00041638303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017556938,0.0000027000374,7.269052e-7,0.000023945087,0.000012708281,6.8396537e-7,0.0000015142148,0.0000028300585,0.0039379364,0.98508763,0.0058936514,0.005033944],"study_design_scores_gemma":[0.00005105233,0.0000023614716,1.18689965e-8,0.000030965042,0.0000127690055,0.0000030852918,4.5408575e-7,0.000018632072,0.018063493,0.4202232,0.5614087,0.00018528837],"about_ca_topic_score_codex":0.00001541379,"about_ca_topic_score_gemma":0.000010253621,"teacher_disagreement_score":0.5648644,"about_ca_system_score_codex":0.000031429387,"about_ca_system_score_gemma":0.00001450918,"threshold_uncertainty_score":0.9921846},"labels":[],"label_agreement":null},{"id":"W4230707136","doi":"10.1002/9780470149652.index","title":"Index","year":2007,"lang":"en","type":"paratext","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Index (typography); Computer science; Function (biology); World Wide Web","score_opus":0.015192163436222114,"score_gpt":0.31687232815116856,"score_spread":0.30168016471494646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230707136","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030457046,0.00017132839,0.2229496,0.000033653138,0.000045537643,0.000058835918,0.00005656793,0.00011500957,0.776539],"genre_scores_gemma":[0.0011274706,0.00039785056,0.028123818,0.00018354111,0.00044155648,0.000117004136,0.0003809283,0.000045229222,0.9691826],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992991,8.030439e-7,0.00017906475,0.00024714234,0.00009249167,0.00018140739],"domain_scores_gemma":[0.99935967,0.000019598165,0.00009566937,0.00043491973,0.00003632347,0.000053801654],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000027313747,0.0001631974,0.00015511447,0.000038229136,0.00004641642,0.000015934093,0.0002455656,0.00046405304,0.07539584],"category_scores_gemma":[0.0000028783388,0.00015495898,0.00006944303,0.00006132298,0.00003074982,0.000016678994,0.0000722573,0.00043567087,0.0075734667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004305015,0.000023042381,0.0000075234043,0.00008032346,0.00001304859,0.0000010671325,0.0000028022926,0.000008863219,0.0056946343,0.0023657128,0.9837849,0.008013776],"study_design_scores_gemma":[0.00003928085,0.0000013714206,2.208147e-7,0.000024047069,0.0000033398812,0.0000025620832,0.0000041131016,0.000015336183,0.1267028,0.0010421844,0.87199056,0.00017420438],"about_ca_topic_score_codex":0.000031616786,"about_ca_topic_score_gemma":0.0000028192394,"teacher_disagreement_score":0.19482577,"about_ca_system_score_codex":0.00005797215,"about_ca_system_score_gemma":0.000035433535,"threshold_uncertainty_score":0.9931992},"labels":[],"label_agreement":null},{"id":"W4231145210","doi":"10.4018/9781609601027.ch015","title":"Use of SciDBMaker as Tool for the Design of Specialized Biological Databases","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Biological database; Database; Computer science; Data science; Bioinformatics; Biology","score_opus":0.1407091688604744,"score_gpt":0.3222289074339535,"score_spread":0.18151973857347908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231145210","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002021464,0.000276744,0.32652012,0.000017994455,0.000047084282,0.0016124953,0.0047264607,0.00012178171,0.6664752],"genre_scores_gemma":[0.06819924,0.0006621395,0.7614852,0.00058713846,0.0009667614,0.0017538839,0.00027470323,0.0002390243,0.16583191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99894905,0.0000060410625,0.00043578912,0.00031563212,0.00012895482,0.00016452605],"domain_scores_gemma":[0.9983116,0.00028190215,0.00045296445,0.0007683141,0.00014704511,0.00003819244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008827978,0.0002555333,0.00039445638,0.000014835421,0.00006438166,0.000010981159,0.000379132,0.00026722773,0.0002952408],"category_scores_gemma":[0.000072993826,0.00017908553,0.00022298463,0.000009033385,0.00032366178,0.00002314747,0.0001679527,0.00014240456,0.000007383667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024403303,0.000016175209,0.000005723771,0.000037078178,0.00007421848,0.0000012812767,0.0000051616503,0.0000027512035,0.009001708,0.9860632,0.0010816613,0.0034670453],"study_design_scores_gemma":[0.00021911657,0.000059973736,0.0000014786183,0.00014198748,0.00012296354,0.000010013696,0.0000024163485,0.000010775367,0.09699376,0.6679756,0.23420319,0.00025873145],"about_ca_topic_score_codex":0.00006892035,"about_ca_topic_score_gemma":0.0000041917565,"teacher_disagreement_score":0.50064325,"about_ca_system_score_codex":0.00004457732,"about_ca_system_score_gemma":0.00010247467,"threshold_uncertainty_score":0.7302896},"labels":[],"label_agreement":null},{"id":"W4231147081","doi":"10.1007/978-1-4939-9055-9_13","title":"Mass Spectrometric Determination of Protein Ubiquitination","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Ubiquitin; Chemistry; Peptide; Lysine; Side chain; Ion; Mass spectrometry; Tandem mass spectrometry; Biochemistry; Chromatography; Amino acid; Organic chemistry","score_opus":0.013525004689992973,"score_gpt":0.3844297971461843,"score_spread":0.37090479245619135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231147081","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084928334,0.00009393042,0.9063468,0.00004279746,0.000010985791,0.00024181002,0.000004405778,0.000029808863,0.00830112],"genre_scores_gemma":[0.14386201,0.000009055441,0.855762,0.000014093215,0.0000070753104,0.00014505278,0.00001596079,0.000010885177,0.00017384697],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926937,0.000096186435,0.00023927899,0.00021811307,0.000044277138,0.00013277095],"domain_scores_gemma":[0.9994412,0.00007556599,0.00015414158,0.0002688365,0.000045387435,0.000014881726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039544105,0.000080377074,0.00016303964,0.00018824417,0.000009668349,0.000002865297,0.00016024233,0.00014624346,0.00016720062],"category_scores_gemma":[0.00017143735,0.00008363142,0.00004418776,0.00034510158,0.000034633984,0.000020311762,0.000041868414,0.00013563715,0.000003667899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004935125,0.000019136167,0.0005972308,0.000034685505,0.0000019553304,5.38359e-7,0.000007859452,0.000003997155,0.91922164,0.039766908,1.0283645e-7,0.040341012],"study_design_scores_gemma":[0.00013484355,0.000033943892,0.000021649254,0.000012934639,0.0000023539328,0.0000012240865,0.000006633443,0.0007249486,0.84319115,0.15531291,0.0004851295,0.000072305724],"about_ca_topic_score_codex":0.000006854062,"about_ca_topic_score_gemma":3.461829e-7,"teacher_disagreement_score":0.115546,"about_ca_system_score_codex":0.000054768883,"about_ca_system_score_gemma":0.000013797206,"threshold_uncertainty_score":0.34103903},"labels":[],"label_agreement":null},{"id":"W4231561317","doi":"10.1007/978-1-4939-7131-2_101393","title":"Two-Mode Graph","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Graph; Theoretical computer science","score_opus":0.01607318054076329,"score_gpt":0.28960132635051733,"score_spread":0.27352814580975404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231561317","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015696593,0.00005576007,0.023372892,0.000054368833,0.000013870341,0.000096166885,0.00008965815,0.00041899364,0.9758826],"genre_scores_gemma":[0.00019372547,0.00012254139,0.0755322,0.0001232255,0.00033552482,0.000062566716,0.00011751654,0.00006912842,0.92344356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925923,3.942544e-7,0.00018653665,0.00032121633,0.00009835556,0.00013427193],"domain_scores_gemma":[0.99911517,0.000013420962,0.00011721357,0.00063332095,0.000060570623,0.00006030707],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000017728838,0.00021777579,0.00017472735,0.000033253047,0.00006427923,0.000014817154,0.000247047,0.00026618125,0.040433295],"category_scores_gemma":[0.0000018470911,0.00020839897,0.00012694276,0.000008529093,0.000098915385,0.000022958404,0.00009191042,0.00026207746,0.0008922015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037817472,0.0000064814535,8.145544e-7,0.000024721556,0.000023595348,0.0000015567115,0.000006550681,5.044945e-7,0.0066499207,0.96607244,0.025220625,0.0019889867],"study_design_scores_gemma":[0.00004314212,0.0000033870774,9.055622e-9,0.000031050135,0.000012130235,0.000003424687,0.0000012392143,0.0000068867494,0.033793505,0.4743453,0.49158892,0.000171014],"about_ca_topic_score_codex":0.000012738633,"about_ca_topic_score_gemma":0.000013774238,"teacher_disagreement_score":0.49172717,"about_ca_system_score_codex":0.000037171252,"about_ca_system_score_gemma":0.000020514568,"threshold_uncertainty_score":0.99988574},"labels":[],"label_agreement":null},{"id":"W4232475588","doi":"10.32920/14638233.v1","title":"Plasma Peptidome","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Mount Sinai Hospital; St. Michael's Hospital; McMaster University; Kingston General Hospital; Ottawa Hospital; University of Manitoba; St. Boniface Hospital; Clinical Evaluation Research Unit; University of Toronto; Toronto Metropolitan University","funders":"Ontario Institute for Cancer Research","keywords":"Chemistry; Chromatography; Electrospray ionization; Formic acid; Mass spectrometry; Ex vivo; Tandem mass spectrometry; Human plasma; Protein mass spectrometry; Peptide; Electrospray; Biochemistry; In vitro","score_opus":0.017711649647681457,"score_gpt":0.2854893932569167,"score_spread":0.26777774360923523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232475588","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29130676,0.00016973328,0.13005827,0.00056707434,0.00007359028,0.00020794339,0.00008994481,0.0011065877,0.57642007],"genre_scores_gemma":[0.46009383,0.00035625184,0.50524724,0.00010926586,0.00024363,0.00076204597,0.00052164815,0.00005509199,0.03261101],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991801,0.0000023112377,0.00018450757,0.00039950918,0.0000922504,0.00014131976],"domain_scores_gemma":[0.999015,0.000019379519,0.0000905262,0.00076280476,0.000057211582,0.00005508279],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000023994384,0.00016616254,0.0001823913,0.000017065044,0.00004401395,0.00006405437,0.0002941472,0.00031191215,0.004363029],"category_scores_gemma":[0.000012078151,0.0001720242,0.0001238271,0.000032414417,0.000026012762,0.000020270067,0.0007903777,0.00058107096,0.000032822114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002701636,0.0005408335,0.00085346185,0.002121567,0.00029631928,0.00007617218,0.00036396185,0.0019158104,0.85898614,0.06790572,0.014398518,0.05251446],"study_design_scores_gemma":[0.00011374647,0.0000020534405,0.000005260503,0.0001404029,0.000021535332,0.000012116764,0.00010577978,0.0013891703,0.9312338,0.020438017,0.046099316,0.0004387533],"about_ca_topic_score_codex":0.000029543555,"about_ca_topic_score_gemma":0.000007372151,"teacher_disagreement_score":0.54380906,"about_ca_system_score_codex":0.000058831723,"about_ca_system_score_gemma":0.00006981359,"threshold_uncertainty_score":0.9965471},"labels":[],"label_agreement":null},{"id":"W4233557391","doi":"10.32920/14636394","title":"Comparison of protein expression lists from mass spectrometry of human blood fluids using exact peptide sequences versus BLAST","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Cancer Technologies; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"RefSeq; Sequence database; Peptide; Peptide mass fingerprinting; Human blood; Sequence (biology); Biology; Peptide sequence; Tandem mass tag; Tandem mass spectrometry; Proteomics; Mass spectrometry; Human proteins; Human genome; Protein sequencing; Database search engine; Gene; Computational biology; Chemistry; Biochemistry; Quantitative proteomics; Genome; Chromatography","score_opus":0.05530706204326457,"score_gpt":0.36286303417299814,"score_spread":0.30755597212973357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233557391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93384606,0.00037953997,0.060054123,0.000010591255,0.00003239044,0.00037463164,0.00021460606,0.00013104346,0.004957045],"genre_scores_gemma":[0.6279767,0.000026087395,0.37139225,9.3288827e-7,0.00008316484,0.000084094,0.00027572518,0.000031314237,0.00012972704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777937,0.00003140137,0.0008803176,0.00069685245,0.00037629541,0.00023578682],"domain_scores_gemma":[0.99761707,0.00007908322,0.00091827597,0.0011306293,0.00017452466,0.00008042668],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008729253,0.00036210657,0.0008084556,0.000094104165,0.00009142609,0.00004722462,0.0006386787,0.00048267475,0.0011647847],"category_scores_gemma":[0.000042524585,0.0003719596,0.0002450283,0.00014996438,0.00015765996,0.00007412136,0.00074187806,0.000755951,6.948252e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040665018,0.00025681098,0.0014337585,0.00048476004,0.00009965046,0.0000030378853,0.00013552,0.00026744712,0.9970015,0.00020990192,0.000008794027,0.000058104528],"study_design_scores_gemma":[0.00038634212,0.000046647117,0.000026665091,0.0014742656,0.00011326674,6.485924e-7,0.00071013806,0.0006688497,0.99302804,0.0031924816,0.000014125429,0.0003385063],"about_ca_topic_score_codex":0.0013236934,"about_ca_topic_score_gemma":0.000035259003,"teacher_disagreement_score":0.31133813,"about_ca_system_score_codex":0.00012194995,"about_ca_system_score_gemma":0.00014233068,"threshold_uncertainty_score":0.9998732},"labels":[],"label_agreement":null},{"id":"W4233811505","doi":"10.3410/f.1119424.580895","title":"Faculty Opinions recommendation of Cell-surface protein-protein interaction analysis with time-resolved FRET and snap-tag technologies: application to GPCR oligomerization.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Förster resonance energy transfer; G protein-coupled receptor; Chemistry; Snap; Surface protein; Biophysics; Protein–protein interaction; Nanotechnology; Computational biology; Computer science; Data science; Receptor; Materials science; Biology; Biochemistry; Physics; Computer graphics (images); Fluorescence","score_opus":0.01330057221733199,"score_gpt":0.3097187372094969,"score_spread":0.2964181649921649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233811505","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026424084,0.0002856804,0.0111364275,0.05439013,0.000032928852,0.003025786,0.9308254,0.00020578665,0.00007142717],"genre_scores_gemma":[0.00011410208,0.0003182146,0.029257204,0.0005031618,0.00006745483,0.0022069484,0.966586,0.00004607878,0.00090085785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99591285,0.0001225385,0.001542223,0.0010639456,0.0010005243,0.00035791725],"domain_scores_gemma":[0.9917926,0.0000833538,0.00221475,0.002109769,0.0035336136,0.00026587056],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004627742,0.0006502806,0.0010675787,0.00048636986,0.00036333193,0.00011239498,0.0014374334,0.00084247586,0.00021656076],"category_scores_gemma":[0.001450979,0.0004688038,0.00038964945,0.004237356,0.00037234186,0.00034609903,0.0005457606,0.0010799423,0.000026479056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003488395,0.0003554992,0.00000595253,0.0036989197,0.00026423988,1.4743364e-7,0.00006312465,0.000008710221,0.0030212987,0.00014228445,0.9907348,0.001670127],"study_design_scores_gemma":[0.00037877847,0.00010022101,0.000026618107,0.0039795274,0.00037268628,0.000013551722,0.00006513871,0.00013954595,0.010518781,0.000056024513,0.9838676,0.00048153574],"about_ca_topic_score_codex":0.000092491246,"about_ca_topic_score_gemma":0.00000872303,"teacher_disagreement_score":0.05388697,"about_ca_system_score_codex":0.00019703868,"about_ca_system_score_gemma":0.00029248494,"threshold_uncertainty_score":0.99977636},"labels":[],"label_agreement":null},{"id":"W4234184340","doi":"10.1255/ejms.400","title":"Investigation of the Applicability of a Sequential Digestion Protocol Using Trypsin and Leucine Aminopeptidase M for Protein Identification by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry","year":2001,"lang":"en","type":"article","venue":"European Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trypsin; Chemistry; Digestion (alchemy); Chromatography; Peptide; Aminopeptidase; Bottom-up proteomics; Mass spectrometry; Leucine; Matrix-assisted laser desorption/ionization; Peptide sequence; Sample preparation; Amino acid; Sample preparation in mass spectrometry; Peptide mass fingerprinting; Biochemistry; Protein mass spectrometry; Enzyme; Desorption; Electrospray ionization; Proteomics; Organic chemistry","score_opus":0.02503231619572674,"score_gpt":0.28489606798831807,"score_spread":0.25986375179259136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234184340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6077721,0.000020215104,0.38731784,0.000117814976,0.000011532961,0.0046127154,0.00004139841,0.000020246278,0.00008613491],"genre_scores_gemma":[0.85709083,0.0000098296505,0.14191325,0.00000589909,0.0001230897,0.0006528471,0.000024926705,0.000041318355,0.00013802004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789494,0.00017729844,0.001128358,0.00027305077,0.0003452339,0.00018111752],"domain_scores_gemma":[0.99701786,0.000049580896,0.0020577873,0.0003927299,0.0003956241,0.00008640868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808756,0.0001940117,0.00029740343,0.00020021736,0.00014364593,0.000048850477,0.0003020459,0.00007495384,0.000056019268],"category_scores_gemma":[0.00020765408,0.00016428017,0.00014424558,0.0007705116,0.00018659864,0.0002578098,0.0000496721,0.0002826202,5.851932e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022510516,0.00009233869,0.00315455,0.0002771939,0.000030387002,0.0000011517676,0.000027937198,0.000100211924,0.99511707,0.00033594164,0.000027158661,0.0006109324],"study_design_scores_gemma":[0.001223992,0.00015597681,0.0039506354,0.00022411259,0.00007657932,0.000057321853,0.00006214406,0.0006961206,0.9900146,0.0032413662,0.00014607505,0.00015107234],"about_ca_topic_score_codex":0.000004301345,"about_ca_topic_score_gemma":4.796385e-7,"teacher_disagreement_score":0.24931872,"about_ca_system_score_codex":0.0002309712,"about_ca_system_score_gemma":0.00006620599,"threshold_uncertainty_score":0.669915},"labels":[],"label_agreement":null},{"id":"W4234469683","doi":"10.1210/en.143.6.1995","title":"Perspective: How to Make Microarray, Serial Analysis of Gene Expression, and Proteomic Relevant to Day-to-Day Endocrine Problems and Physiological Systems","year":2002,"lang":"en","type":"article","venue":"Endocrinology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"Medical Research Council; Medical Research Council Canada; Canadian Institutes of Health Research; Université Laval","keywords":"Day to day; Microarray; Gene expression; Endocrine system; Endocrinology; Internal medicine; Serial analysis of gene expression; Gene expression profiling; Microarray analysis techniques; Gene; Biology; Bioinformatics; Computational biology; Medicine; Hormone; Genetics","score_opus":0.023821763833457188,"score_gpt":0.2728333072900555,"score_spread":0.24901154345659832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234469683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97848076,0.00040942652,0.016981278,0.0022738082,0.000037812253,0.0011353651,0.00018696644,0.00014199996,0.00035256174],"genre_scores_gemma":[0.95860404,0.00030057592,0.038341135,0.00009200088,0.00013871926,0.001354998,0.00001847171,0.000028466222,0.0011215728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99822885,0.00005746198,0.00033796133,0.00079053856,0.00010981302,0.00047538633],"domain_scores_gemma":[0.9988726,0.00008859234,0.00014225945,0.000555375,0.00012535723,0.00021586019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006294202,0.00025853302,0.0005931309,0.00022959015,0.000115784744,0.000032487387,0.0002639553,0.000100047575,0.00010056983],"category_scores_gemma":[0.0001887419,0.00022748011,0.00007342971,0.00038380304,0.00010556724,0.00003837738,0.00031867033,0.00019767655,0.00000833006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037923168,0.00007477964,0.00037686856,0.000050865274,0.00011539089,0.00000908185,0.0006212702,0.000433108,0.99637526,0.0010074768,0.00046982142,0.0004281624],"study_design_scores_gemma":[0.00052417035,0.00024426854,0.0010011102,0.000060716753,0.00014188392,0.00007366525,0.00042047442,0.00033916908,0.98797125,0.00042253028,0.008410109,0.0003906761],"about_ca_topic_score_codex":0.00009790035,"about_ca_topic_score_gemma":0.000024625091,"teacher_disagreement_score":0.021359857,"about_ca_system_score_codex":0.000087969514,"about_ca_system_score_gemma":0.000010315973,"threshold_uncertainty_score":0.9276369},"labels":[],"label_agreement":null},{"id":"W4235088431","doi":"10.1074/mcp.s800708-mcp200","title":"Session 3","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.006979421901939956,"score_gpt":0.24593565213424884,"score_spread":0.23895623023230889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235088431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5298191,0.00016466253,0.45469007,0.0004769747,0.000012647596,0.0002846887,0.000007546322,0.0003038707,0.014240475],"genre_scores_gemma":[0.75613415,0.000031649735,0.2424562,0.00036419963,0.00006592594,0.000115208546,0.00006351413,0.000035449277,0.0007336801],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988594,0.000011449221,0.0002535607,0.00038458238,0.00018100161,0.00031000245],"domain_scores_gemma":[0.9990454,0.0000063957664,0.00011711985,0.0006634496,0.00005418808,0.00011347104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008488723,0.00021072902,0.00017134295,0.000041078325,0.00013723208,0.000045733046,0.0003301127,0.00018326059,0.00018585938],"category_scores_gemma":[0.000020880201,0.00021849392,0.0001240171,0.00013808788,0.000037282407,0.00007173221,0.000061848696,0.0003078576,0.00005321118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001137154,0.00006803404,0.000020458137,0.00001321484,0.0000052096234,0.000025763647,0.000016424938,0.00007415574,0.9844252,0.010520339,0.00007160993,0.0047482452],"study_design_scores_gemma":[0.00021502055,0.00002464213,0.000004470882,0.000029100584,0.0000121388275,0.000010750481,0.000008868376,0.0007120249,0.9551165,0.035608172,0.007999363,0.0002589386],"about_ca_topic_score_codex":0.000004231815,"about_ca_topic_score_gemma":1.5072771e-7,"teacher_disagreement_score":0.22631513,"about_ca_system_score_codex":0.00007176447,"about_ca_system_score_gemma":0.000034480687,"threshold_uncertainty_score":0.89099234},"labels":[],"label_agreement":null},{"id":"W4235116064","doi":"10.32920/14636394.v1","title":"Comparison of protein expression lists from mass spectrometry of human blood fluids using exact peptide sequences versus BLAST","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Cancer Technologies; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Sequence database; RefSeq; Peptide; Peptide mass fingerprinting; Human blood; Biology; Peptide sequence; Sequence (biology); Tandem mass spectrometry; Tandem mass tag; Human proteins; Proteomics; Mass spectrometry; Database search engine; Human genome; Protein sequencing; Gene; Computational biology; Biochemistry; Chemistry; Quantitative proteomics; Genome; Chromatography","score_opus":0.05530706204326457,"score_gpt":0.36286303417299814,"score_spread":0.30755597212973357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235116064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93384606,0.00037953997,0.060054123,0.000010591255,0.00003239044,0.00037463164,0.00021460606,0.00013104346,0.004957045],"genre_scores_gemma":[0.6279767,0.000026087395,0.37139225,9.3288827e-7,0.00008316484,0.000084094,0.00027572518,0.000031314237,0.00012972704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777937,0.00003140137,0.0008803176,0.00069685245,0.00037629541,0.00023578682],"domain_scores_gemma":[0.99761707,0.00007908322,0.00091827597,0.0011306293,0.00017452466,0.00008042668],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008729253,0.00036210657,0.0008084556,0.000094104165,0.00009142609,0.00004722462,0.0006386787,0.00048267475,0.0011647847],"category_scores_gemma":[0.000042524585,0.0003719596,0.0002450283,0.00014996438,0.00015765996,0.00007412136,0.00074187806,0.000755951,6.948252e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040665018,0.00025681098,0.0014337585,0.00048476004,0.00009965046,0.0000030378853,0.00013552,0.00026744712,0.9970015,0.00020990192,0.000008794027,0.000058104528],"study_design_scores_gemma":[0.00038634212,0.000046647117,0.000026665091,0.0014742656,0.00011326674,6.485924e-7,0.00071013806,0.0006688497,0.99302804,0.0031924816,0.000014125429,0.0003385063],"about_ca_topic_score_codex":0.0013236934,"about_ca_topic_score_gemma":0.000035259003,"teacher_disagreement_score":0.31133813,"about_ca_system_score_codex":0.00012194995,"about_ca_system_score_gemma":0.00014233068,"threshold_uncertainty_score":0.9998732},"labels":[],"label_agreement":null},{"id":"W4235185927","doi":"10.1515/iupac.85.0348","title":"Bottom-Up Proteomics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Organic chemistry; Linguistics","score_opus":0.012974806664236282,"score_gpt":0.39286867317621504,"score_spread":0.37989386651197876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235185927","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000103781334,0.00021523809,0.00754447,0.0005455143,0.00014227499,0.00046255265,0.99042535,0.00032101365,0.00023978946],"genre_scores_gemma":[0.0000049310424,0.001698984,0.0085351225,0.00015000664,0.0010983358,0.00041949432,0.98519564,0.00009097127,0.002806524],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99752444,0.000014001352,0.00058005645,0.000719238,0.00065735896,0.0005049064],"domain_scores_gemma":[0.99724954,0.000058647765,0.000467297,0.001651286,0.00038049417,0.00019274473],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021196666,0.0005447447,0.00058362866,0.00009718517,0.00017634555,0.00006120766,0.0008432122,0.0007550656,0.005688802],"category_scores_gemma":[0.000220211,0.0004504783,0.00021536872,0.00012671328,0.00017551013,0.00008287816,0.00029967888,0.0010339993,0.000005464167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007791233,0.00010947748,0.0000015553882,0.00022138575,0.000046743902,0.000010732797,0.000002698614,5.0717557e-7,0.0034631833,0.0000930072,0.9933896,0.002583161],"study_design_scores_gemma":[0.00053277105,0.000033418128,1.5262329e-7,0.00041666566,0.000067167435,0.000017662593,0.0000068809145,0.0000044101635,0.019803124,0.0034409806,0.97509646,0.0005803302],"about_ca_topic_score_codex":0.00005084862,"about_ca_topic_score_gemma":0.000064094624,"teacher_disagreement_score":0.018293198,"about_ca_system_score_codex":0.00059423485,"about_ca_system_score_gemma":0.00063257583,"threshold_uncertainty_score":0.9997947},"labels":[],"label_agreement":null},{"id":"W4235860329","doi":"10.1021/ac048182t","title":"Complete Chemical and Enzymatic Treatment of Phosphorylated and Glycosylated Proteins on ProteinChip Arrays","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Enzyme; Phosphorylation; Biochemistry","score_opus":0.01593421519668795,"score_gpt":0.26168167082717647,"score_spread":0.24574745563048853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235860329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907897,0.0001609867,0.00053158164,0.0004684894,0.0000011378671,0.00029727613,0.000066290464,0.00011310882,0.007571443],"genre_scores_gemma":[0.98830396,0.00009052576,0.010641941,0.00002798041,0.00006326231,0.00017021474,0.000061641906,0.00002499398,0.00061546254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988943,0.000004168699,0.00034154204,0.00038588725,0.00014162122,0.00023252939],"domain_scores_gemma":[0.99923515,0.00006680367,0.00011826921,0.00036140624,0.000043632102,0.00017476361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036372072,0.00023632155,0.0003318231,0.000015211215,0.00006107909,0.000018181701,0.000104530576,0.00018349779,0.00029164014],"category_scores_gemma":[0.000041924388,0.0002080647,0.00006621702,0.000094821844,0.00021493489,0.000033816592,0.0000430483,0.00017039581,0.0000052771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090168694,0.00032873295,0.00017612087,0.00017482741,0.000056037843,0.0000029606472,0.000040248535,0.000009000479,0.9929568,0.00075684424,0.000021230755,0.0053870017],"study_design_scores_gemma":[0.0006714849,0.000057879526,0.000012029228,0.000079411824,0.000052985833,0.000018603627,0.000016826607,0.008980585,0.98516506,0.001313163,0.0034214254,0.00021055884],"about_ca_topic_score_codex":0.000013846452,"about_ca_topic_score_gemma":5.2954226e-7,"teacher_disagreement_score":0.010110359,"about_ca_system_score_codex":0.000097009935,"about_ca_system_score_gemma":0.000024130459,"threshold_uncertainty_score":0.8484632},"labels":[],"label_agreement":null},{"id":"W4235861241","doi":"10.7287/peerj.preprints.27736","title":"Python in proteomics","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Scripting language; Programming language; Workflow; Visualization; Software; Software engineering; Computational science; Data mining; Database","score_opus":0.017235001178090355,"score_gpt":0.29351693277842766,"score_spread":0.2762819316003373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235861241","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23282853,0.00012269538,0.36796296,0.00068988494,0.00008446775,0.0015873779,0.00010939644,0.0007894179,0.39582527],"genre_scores_gemma":[0.34203973,0.00023919456,0.6410704,0.000102536855,0.0001262814,0.0017948208,0.00018562165,0.00007468256,0.014366672],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989968,0.0000036114568,0.0003058073,0.00043171144,0.00008297851,0.00017907954],"domain_scores_gemma":[0.9989521,0.000016952326,0.00014677833,0.0008243441,0.000027596316,0.000032231834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072196264,0.0001867719,0.0002253344,0.000047248883,0.000015261397,0.000027123473,0.00036536614,0.00043163117,0.00050631096],"category_scores_gemma":[0.000014554447,0.00019067677,0.00007512582,0.000045257682,0.000019867453,0.000022957842,0.0006186314,0.0008518489,0.00006996924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110147725,0.00066207553,0.020949043,0.0038111561,0.00007208514,0.000018858593,0.0003441516,0.018265365,0.84628356,0.08985884,0.0045294655,0.015095263],"study_design_scores_gemma":[0.00027188292,0.000005572525,0.000054579432,0.000325771,0.000008788575,0.0000032531989,0.000031238516,0.006195805,0.81925344,0.15450355,0.018717278,0.00062884344],"about_ca_topic_score_codex":0.00009375404,"about_ca_topic_score_gemma":0.000015170983,"teacher_disagreement_score":0.3814586,"about_ca_system_score_codex":0.00014159926,"about_ca_system_score_gemma":0.00008171454,"threshold_uncertainty_score":0.7775573},"labels":[],"label_agreement":null},{"id":"W4236026989","doi":"10.1007/978-1-59745-281-6_17","title":"Microsomal Proteomics","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Proteome; Proteomics; Golgi apparatus; Organelle; Secretion; Cell biology; Biology; Biochemistry; Microsome; Compartment (ship); Secretory protein; Chemistry; Computational biology; Endoplasmic reticulum; Enzyme","score_opus":0.01640646898815839,"score_gpt":0.4079524777140733,"score_spread":0.3915460087259149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236026989","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031407088,0.00015172578,0.9611499,0.0003828327,0.000011967336,0.00014310205,0.0000055692863,0.00008789288,0.0066599706],"genre_scores_gemma":[0.0092358375,0.000026374471,0.9900135,0.00044159673,0.000025302785,0.00011398525,0.00001548583,0.000011656575,0.000116277115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991947,0.0000663033,0.0002076511,0.00028176088,0.000022658945,0.00022694288],"domain_scores_gemma":[0.99950844,0.000033992943,0.00006341742,0.00034204696,0.000018905932,0.00003321919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022182861,0.000113896895,0.00016262809,0.0000450382,0.000030657226,0.000006848487,0.00023083978,0.00019959456,0.00005681804],"category_scores_gemma":[0.00008558207,0.00011451739,0.00005528948,0.00011672601,0.000058406433,0.00001306294,0.00004620492,0.00024039576,0.000003652345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007823595,0.0000310424,0.0002053408,0.0000034373509,0.0000022824918,0.0000039025226,0.000009235683,0.000008591047,0.93595135,0.032948148,0.0000044671465,0.0308244],"study_design_scores_gemma":[0.000122045465,0.000020493755,0.000017353423,0.000005295633,0.000002154798,0.0000092591645,0.000003488645,0.00009780322,0.79141307,0.20303763,0.0051658647,0.000105530205],"about_ca_topic_score_codex":0.0000053465037,"about_ca_topic_score_gemma":4.835037e-7,"teacher_disagreement_score":0.1700895,"about_ca_system_score_codex":0.000038628383,"about_ca_system_score_gemma":0.000016640914,"threshold_uncertainty_score":0.46698835},"labels":[],"label_agreement":null},{"id":"W4237242809","doi":"10.1007/978-1-4419-0461-4_621","title":"LCoR","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.02130032693454908,"score_gpt":0.2652345322704199,"score_spread":0.2439342053358708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237242809","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002204878,0.00034831784,0.007878573,0.000057614954,0.000009491926,0.00006479967,0.000041653653,0.00029751207,0.9912998],"genre_scores_gemma":[0.00025815095,0.0004209511,0.036234856,0.00007608306,0.00029051685,0.000050310122,0.00007619513,0.000054020802,0.9625389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995399,1.6973904e-7,0.00012569652,0.00015650532,0.00006421361,0.00011348797],"domain_scores_gemma":[0.99943155,0.0000111549525,0.00008052532,0.00039758236,0.000021629641,0.00005753316],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000013769206,0.00014818287,0.00012240875,0.0000145734875,0.00003362318,0.0000066458533,0.00013848636,0.0002675064,0.029515488],"category_scores_gemma":[0.0000012433967,0.0001391935,0.00007730087,0.0000031233046,0.000027908687,0.000021814469,0.00006333015,0.00023568336,0.0007100279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010685693,0.000004389169,0.0000017127312,0.000021853062,0.000009411127,4.3464962e-7,0.0000019147724,5.757906e-8,0.0034986716,0.9573185,0.0042238496,0.034918148],"study_design_scores_gemma":[0.00002006301,0.0000011244061,3.9029956e-8,0.000019637982,0.000013064705,0.0000035203418,4.7022044e-7,0.000001564951,0.02388634,0.13900283,0.8368969,0.00015444311],"about_ca_topic_score_codex":0.0000018702689,"about_ca_topic_score_gemma":7.4858957e-7,"teacher_disagreement_score":0.8326731,"about_ca_system_score_codex":0.00003574619,"about_ca_system_score_gemma":0.000010698297,"threshold_uncertainty_score":0.97137165},"labels":[],"label_agreement":null},{"id":"W4237439689","doi":"10.1038/labinvest.2008.153","title":"Special Category - Pan-genomic/Pan-proteomic Approaches to Cancer","year":2009,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cancer; Computational biology; Biology; Genetics; Medicine","score_opus":0.0477373312472261,"score_gpt":0.2653959853624235,"score_spread":0.2176586541151974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237439689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98720384,0.00008766361,0.0021239233,0.0028443949,0.0000987873,0.0004875067,0.00016167886,0.00036486788,0.0066273483],"genre_scores_gemma":[0.9492325,0.000050082665,0.04253715,0.0022097062,0.0040880237,0.0008887695,0.0001595603,0.000054316693,0.0007798455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987872,0.00001893412,0.00031291263,0.00044371266,0.00015874152,0.00027848812],"domain_scores_gemma":[0.99910754,0.000013167184,0.0001640646,0.00045515338,0.00008053591,0.0001795595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010898035,0.00022096145,0.00018657351,0.00006741822,0.00018631619,0.00005992657,0.000272984,0.0001721722,0.00019312713],"category_scores_gemma":[0.000032777018,0.00024269379,0.00004221667,0.00036532903,0.000079911035,0.00019827782,0.00003663795,0.00025265565,0.0000899303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018554498,0.00003336898,0.0010755684,0.000023840228,0.000008915231,0.0000011260835,0.0003895657,0.0002135397,0.9612654,0.022106031,0.0052706306,0.009593452],"study_design_scores_gemma":[0.00018883469,0.000025589881,0.0028598683,0.000033903714,0.000019005882,9.613319e-7,0.0000700437,0.00011795564,0.932964,0.030584978,0.03276865,0.0003661959],"about_ca_topic_score_codex":0.000047855872,"about_ca_topic_score_gemma":0.000025387453,"teacher_disagreement_score":0.040413227,"about_ca_system_score_codex":0.00027255062,"about_ca_system_score_gemma":0.00021058468,"threshold_uncertainty_score":0.98967654},"labels":[],"label_agreement":null},{"id":"W4237487089","doi":"10.32920/ryerson.14669061.v1","title":"Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fonds National de la Recherche Luxembourg","keywords":"Computer science; Database; SQL; Computational biology; Bioinformatics; Proteomics; Biology; Biochemistry; Gene","score_opus":0.02200467162228378,"score_gpt":0.29900543384962414,"score_spread":0.2770007622273404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237487089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9050707,0.00017859023,0.09230382,0.00016864446,0.000008297405,0.0012094326,0.0004869858,0.000049554565,0.00052394066],"genre_scores_gemma":[0.6869642,0.00024058891,0.3109401,0.000014466982,0.000023195078,0.00048452578,0.0010401187,0.00002854124,0.00026428045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988854,0.000008324506,0.00049857935,0.00039499463,0.000078548495,0.00013417698],"domain_scores_gemma":[0.99904907,0.000051609768,0.0004225142,0.00034523458,0.000096376934,0.000035223984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013047893,0.00017375076,0.00033482412,0.00008182723,0.000029045792,0.00003992309,0.000117101714,0.00021754736,0.00010137121],"category_scores_gemma":[0.00010862078,0.00018936457,0.0000650639,0.00010199612,0.000027980794,0.00008883527,0.00029933144,0.00018733114,6.39134e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055887325,0.00009384212,0.001094495,0.001697831,0.000088534645,0.0000010562459,0.00009446988,0.000004328791,0.9941239,0.0002523212,0.000009378537,0.0024839693],"study_design_scores_gemma":[0.00054379087,0.0000146716275,0.00014191774,0.0015711655,0.000055124463,0.000003078581,0.00013151695,0.0009639903,0.99569196,0.0006304954,0.00006851629,0.00018376867],"about_ca_topic_score_codex":0.00030771227,"about_ca_topic_score_gemma":0.000037127767,"teacher_disagreement_score":0.21863627,"about_ca_system_score_codex":0.000029441417,"about_ca_system_score_gemma":0.00018604923,"threshold_uncertainty_score":0.7722063},"labels":[],"label_agreement":null},{"id":"W4237749435","doi":"10.1042/bio02803037","title":"Flexing their muscles: the discovery of myosin phosphorylation","year":2006,"lang":"en","type":"article","venue":"The Biochemist","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Myosin; Skeletal muscle; Myosin light-chain kinase; Phosphorylation; Biochemistry; Chemistry; Electrophoresis; Immunoglobulin light chain; Cell biology; Biology; Anatomy; Genetics","score_opus":0.00852595138411675,"score_gpt":0.23237436112982265,"score_spread":0.2238484097457059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237749435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558254,0.0006855262,0.011987561,0.00076488283,0.000012491769,0.00014910901,0.00006476251,0.00010069808,0.030409584],"genre_scores_gemma":[0.99672884,0.000044457214,0.0011024153,0.00003385129,0.00014300058,0.000070533635,0.00004051418,0.000014544299,0.0018218686],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994982,0.000004637256,0.00017341606,0.00012851154,0.00008426342,0.0001110124],"domain_scores_gemma":[0.99925363,0.000070690534,0.00013908908,0.00049792783,0.00002928229,0.00000936432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096046344,0.000095192845,0.00007668266,0.000005246766,0.00016001555,0.000026141352,0.00031095193,0.000049777158,0.000032079006],"category_scores_gemma":[0.000011016401,0.000053220974,0.00006826188,0.00008734502,0.00017215834,0.00003922414,0.000060534334,0.000106969914,0.000002223091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000083454115,0.00002411061,0.00008149875,0.000017643693,0.0000050727963,5.112811e-8,0.000055427812,0.00003223257,0.99265325,0.0056197383,0.0005385761,0.00096406933],"study_design_scores_gemma":[0.000060522816,0.0000018933939,0.000067283225,0.00002500877,0.000008462477,0.000001414204,0.00015197201,0.00012247554,0.97947776,0.0145271905,0.0054842336,0.00007180079],"about_ca_topic_score_codex":0.0001014622,"about_ca_topic_score_gemma":0.0000035702149,"teacher_disagreement_score":0.04090343,"about_ca_system_score_codex":0.000031100095,"about_ca_system_score_gemma":0.000016142088,"threshold_uncertainty_score":0.21702884},"labels":[],"label_agreement":null},{"id":"W4237909535","doi":"10.1515/iupac.85.0771","title":"Top-Down Proteomics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Organic chemistry; Linguistics","score_opus":0.010970626912512119,"score_gpt":0.38752029969652846,"score_spread":0.37654967278401635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237909535","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000929977,0.00019822975,0.008901349,0.00059727207,0.00008390906,0.00044094774,0.9889822,0.00028097534,0.00042212565],"genre_scores_gemma":[0.0000053433246,0.0014557277,0.008195109,0.00015645016,0.0010973465,0.0003902206,0.9868631,0.00007596891,0.0017607367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976973,0.000012071188,0.00054308085,0.0006807377,0.0005941959,0.0004726332],"domain_scores_gemma":[0.99742204,0.000053618773,0.0004151166,0.0015881474,0.0003428323,0.00017825981],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018820987,0.0005045979,0.00054696674,0.000092641734,0.00016306306,0.000058602145,0.0007909137,0.00065735803,0.00704381],"category_scores_gemma":[0.00020805497,0.00041183666,0.00020163931,0.0001213781,0.00015592508,0.00007595916,0.0003019501,0.00078031543,0.000004915954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061967905,0.00012999181,0.0000030788249,0.00019786066,0.00004084774,0.000012708696,0.0000024119106,7.109029e-7,0.0024859493,0.000092521834,0.993686,0.0032859116],"study_design_scores_gemma":[0.00042681515,0.00003476563,2.4277034e-7,0.00036718522,0.00005792715,0.000016692293,0.0000061956475,0.0000035056185,0.017141586,0.003332783,0.97807246,0.0005398261],"about_ca_topic_score_codex":0.00005040133,"about_ca_topic_score_gemma":0.000065503045,"teacher_disagreement_score":0.015613563,"about_ca_system_score_codex":0.00055200246,"about_ca_system_score_gemma":0.0005403619,"threshold_uncertainty_score":0.99983335},"labels":[],"label_agreement":null},{"id":"W4237964813","doi":"10.26434/chemrxiv.13380089","title":"A Mass Spectrometry-Cleavable N-Terminal Tagging Strategy for System-Level Protease Activity Profiling","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health; National Institute of General Medical Sciences; University of Texas at Arlington","keywords":"Proteases; Proteolysis; Chemistry; Biotinylation; Protease; Biochemistry; Proteolytic enzymes; Biotin; Tandem mass spectrometry; Proteomics; Computational biology; Mass spectrometry; Enzyme; Biology; Chromatography; Gene","score_opus":0.0645288448200391,"score_gpt":0.3209327981585173,"score_spread":0.2564039533384782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237964813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10105347,0.00010332829,0.88154745,0.0004652896,0.0000727257,0.0029614011,0.00044784087,0.0012769465,0.012071572],"genre_scores_gemma":[0.6789302,0.000015414673,0.31439748,0.000019394309,0.0005381441,0.0051031723,0.00020067101,0.00010970174,0.0006857544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975867,0.0000125945635,0.00049277546,0.001144811,0.0002260851,0.0005369942],"domain_scores_gemma":[0.99799913,0.0000676039,0.0006372783,0.0009402796,0.00013765543,0.00021802963],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020081238,0.0005223477,0.00062770734,0.00007195874,0.00022597067,0.00016319015,0.000670964,0.0005183051,0.00006409466],"category_scores_gemma":[0.000097152886,0.0005816156,0.0003205457,0.00015388029,0.00006524902,0.000095129384,0.0004277119,0.0012031927,0.000015053707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010672802,0.00008195994,0.00003967696,0.007734772,0.00007503456,0.000023274924,0.000020531976,0.00018145154,0.98499686,0.0054101353,0.0001523349,0.0011772399],"study_design_scores_gemma":[0.00032155326,0.000024769763,0.0000027577314,0.000531123,0.00008852373,0.000018197039,0.000090396665,0.0178288,0.9685524,0.011291517,0.00065398467,0.00059599226],"about_ca_topic_score_codex":0.000026003541,"about_ca_topic_score_gemma":5.3274533e-7,"teacher_disagreement_score":0.5778768,"about_ca_system_score_codex":0.0004838698,"about_ca_system_score_gemma":0.0003187294,"threshold_uncertainty_score":0.99966353},"labels":[],"label_agreement":null},{"id":"W4238080801","doi":"10.32920/ryerson.14645256","title":"Identification and Quantification of Proteins from Preparative Partition Chromatography and Peptides from Organic Extraction of Fetal Versus Adult Bovine Serum using Nano-Spray-LC-ESI-MS/MS","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fetal bovine serum; Fetus; Trypsin; Cell culture; Bovine serum albumin; Chemistry; Growth factor; Chromatography; Cell; Cell growth; Biology; Biochemistry; Receptor; Pregnancy","score_opus":0.023927648477707005,"score_gpt":0.30133659779759947,"score_spread":0.27740894931989246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238080801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84276754,0.00040203173,0.1549783,0.000053609027,0.000057471934,0.00071014476,0.0007934702,0.00010911175,0.00012830072],"genre_scores_gemma":[0.9288051,0.00076578796,0.06819201,0.0000028997679,0.000074126336,0.0002964115,0.0017874658,0.00004061675,0.000035562596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978125,0.000051973206,0.0008676906,0.00086409977,0.00025189,0.00015183799],"domain_scores_gemma":[0.9971307,0.0001200564,0.0014109431,0.0007779633,0.00049198925,0.000068384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011444302,0.0003217001,0.00046977922,0.00010327927,0.00013460369,0.000101389815,0.00016599991,0.00044027215,0.00023955967],"category_scores_gemma":[0.000087334236,0.00035854103,0.000117962765,0.0001925768,0.00019456484,0.00033580099,0.00022910611,0.0003200845,9.715118e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016785756,0.000167158,0.0013866969,0.00033009436,0.00015696656,3.9635322e-7,0.00037201055,0.000058508696,0.99641466,0.00031532306,0.0000069250705,0.0006234261],"study_design_scores_gemma":[0.00045526915,0.00003496702,0.0028807097,0.0004851307,0.00023588452,0.0000024337953,0.0007049974,0.005087224,0.98615044,0.0036424191,0.000012840591,0.00030767274],"about_ca_topic_score_codex":0.0022320298,"about_ca_topic_score_gemma":0.0006047642,"teacher_disagreement_score":0.08678629,"about_ca_system_score_codex":0.00008364998,"about_ca_system_score_gemma":0.000102613776,"threshold_uncertainty_score":0.99988663},"labels":[],"label_agreement":null},{"id":"W4238173086","doi":"10.32920/14638233","title":"Plasma Peptidome","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Mount Sinai Hospital; St. Michael's Hospital; McMaster University; Kingston General Hospital; Ottawa Hospital; University of Manitoba; St. Boniface Hospital; Clinical Evaluation Research Unit; University of Toronto; Toronto Metropolitan University","funders":"Ontario Institute for Cancer Research","keywords":"Chemistry; Chromatography; Electrospray ionization; Formic acid; Mass spectrometry; Ex vivo; Tandem mass spectrometry; Human plasma; Protein mass spectrometry; Peptide; Electrospray; Biochemistry; In vitro","score_opus":0.017711649647681457,"score_gpt":0.2854893932569167,"score_spread":0.26777774360923523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238173086","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29130676,0.00016973328,0.13005827,0.00056707434,0.00007359028,0.00020794339,0.00008994481,0.0011065877,0.57642007],"genre_scores_gemma":[0.46009383,0.00035625184,0.50524724,0.00010926586,0.00024363,0.00076204597,0.00052164815,0.00005509199,0.03261101],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991801,0.0000023112377,0.00018450757,0.00039950918,0.0000922504,0.00014131976],"domain_scores_gemma":[0.999015,0.000019379519,0.0000905262,0.00076280476,0.000057211582,0.00005508279],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000023994384,0.00016616254,0.0001823913,0.000017065044,0.00004401395,0.00006405437,0.0002941472,0.00031191215,0.004363029],"category_scores_gemma":[0.000012078151,0.0001720242,0.0001238271,0.000032414417,0.000026012762,0.000020270067,0.0007903777,0.00058107096,0.000032822114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002701636,0.0005408335,0.00085346185,0.002121567,0.00029631928,0.00007617218,0.00036396185,0.0019158104,0.85898614,0.06790572,0.014398518,0.05251446],"study_design_scores_gemma":[0.00011374647,0.0000020534405,0.000005260503,0.0001404029,0.000021535332,0.000012116764,0.00010577978,0.0013891703,0.9312338,0.020438017,0.046099316,0.0004387533],"about_ca_topic_score_codex":0.000029543555,"about_ca_topic_score_gemma":0.000007372151,"teacher_disagreement_score":0.54380906,"about_ca_system_score_codex":0.000058831723,"about_ca_system_score_gemma":0.00006981359,"threshold_uncertainty_score":0.9965471},"labels":[],"label_agreement":null},{"id":"W4238766780","doi":"10.1074/mcp.s800108-mcp200","title":"Program","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Biology","score_opus":0.006837671190578831,"score_gpt":0.2582248405012476,"score_spread":0.2513871693106688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238766780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6272084,0.00023991584,0.34372428,0.0006520067,0.00001515089,0.0009367954,0.000010859708,0.0009608085,0.026251798],"genre_scores_gemma":[0.5737192,0.000023642711,0.42482597,0.0002610074,0.00006326056,0.00045430087,0.000069203816,0.00003816111,0.0005452171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987282,0.000010332717,0.00027448137,0.00042025634,0.00018652205,0.000380203],"domain_scores_gemma":[0.998965,0.0000054261827,0.00011753133,0.000721434,0.00006322515,0.00012738051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000083340856,0.0002343011,0.00018701951,0.000041465533,0.00012461346,0.000066455694,0.0003840926,0.00018518335,0.00013544332],"category_scores_gemma":[0.000020221729,0.0002512061,0.00014818991,0.00016765577,0.00005348944,0.00006637208,0.000057897567,0.0003272053,0.000050666436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010612112,0.00016987199,0.000017532235,0.000015717547,0.000008653421,0.000029689063,0.000015072035,0.00004451993,0.96239394,0.013354227,0.000058929534,0.023881227],"study_design_scores_gemma":[0.00022030376,0.000058661055,0.0000044229178,0.000019058338,0.000015479885,0.000012090056,0.000007008596,0.0008462222,0.9494181,0.030194853,0.018913914,0.0002898506],"about_ca_topic_score_codex":0.0000043037085,"about_ca_topic_score_gemma":2.3788878e-7,"teacher_disagreement_score":0.08110171,"about_ca_system_score_codex":0.00006900901,"about_ca_system_score_gemma":0.000037052123,"threshold_uncertainty_score":0.99999404},"labels":[],"label_agreement":null},{"id":"W4239193070","doi":"10.3410/f.725464961.793509148","title":"Faculty Opinions recommendation of Dictyostelium discoideum has a highly Q/N-rich proteome and shows an unusual resilience to protein aggregation.","year":2015,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dictyostelium discoideum; Resilience (materials science); Proteome; Dictyostelium; Computational biology; Interactome; Biology; Chemistry; Cell biology; Bioinformatics; Genetics; Physics; Gene","score_opus":0.03584461175695865,"score_gpt":0.3545124497374486,"score_spread":0.31866783798049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239193070","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017844173,0.0004070297,0.000510442,0.12308335,0.00011767576,0.003157505,0.8725472,0.00009528879,0.00006367206],"genre_scores_gemma":[0.00004734382,0.000101405494,0.011869432,0.0012183967,0.000267129,0.002891176,0.9820353,0.000047583304,0.0015222501],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950089,0.00022911197,0.0017696308,0.0010881365,0.0014631071,0.00044115403],"domain_scores_gemma":[0.9902017,0.00008326389,0.0017280156,0.002125894,0.0052549047,0.0006061953],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012020784,0.000655504,0.0009475327,0.00031923698,0.0004013671,0.00025113663,0.0019567537,0.00077599275,0.0001644778],"category_scores_gemma":[0.0049636643,0.00046519638,0.0002619925,0.0018682933,0.0005474572,0.0006077679,0.000863413,0.0011667425,0.000018275045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027101423,0.0003619867,0.000004054917,0.0047315583,0.000044426364,2.1581518e-7,0.00014444848,4.511831e-7,0.00028000746,0.00044774698,0.99160063,0.0023573434],"study_design_scores_gemma":[0.00043890532,0.00018324998,0.00005880011,0.008968647,0.0000948523,0.000029200346,0.000053794734,0.000017259465,0.002346765,0.00031751074,0.98699987,0.00049112365],"about_ca_topic_score_codex":0.00010229981,"about_ca_topic_score_gemma":0.00002188251,"teacher_disagreement_score":0.12186496,"about_ca_system_score_codex":0.00020664268,"about_ca_system_score_gemma":0.00074513827,"threshold_uncertainty_score":0.99978},"labels":[],"label_agreement":null},{"id":"W4240297670","doi":"10.1016/j.cub.2020.01.044","title":"AAA+ proteins","year":2020,"lang":"en","type":"article","venue":"Current Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Biology; Computational biology; Evolutionary biology; Cell biology","score_opus":0.04713441519217326,"score_gpt":0.3340367993764388,"score_spread":0.28690238418426556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240297670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.261975,0.003360805,0.6736222,0.012419937,0.00019709804,0.0008873639,0.00033333767,0.0017926903,0.045411594],"genre_scores_gemma":[0.98387766,0.00020526894,0.014728558,0.00025076876,0.0003937566,0.00033044675,0.00012597794,0.000014052116,0.00007352785],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995726,0.000003784367,0.0001005289,0.000184955,0.000018410024,0.000119766846],"domain_scores_gemma":[0.9997372,0.000009063366,0.00004339874,0.0001325862,0.000016241924,0.00006147986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000012049765,0.00006739942,0.00008032732,0.000006177191,0.000037356636,0.000003849415,0.00015078278,0.000054883152,0.00043343488],"category_scores_gemma":[0.000024925403,0.00006047074,0.000032741635,0.000049097067,0.000044533463,0.000014324874,0.00006578219,0.00014952997,0.000094451],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013552991,0.000056896555,0.0030209133,0.00007257237,0.0000074745453,4.4959793e-7,0.00006642276,0.0000019165682,0.79750735,0.070225246,0.0019501874,0.12707703],"study_design_scores_gemma":[0.00010680624,0.000018462491,0.0000116216415,0.0000068900617,0.0000032047633,9.3820705e-7,0.000005786801,0.00015283315,0.23388284,0.011897691,0.75381136,0.00010154811],"about_ca_topic_score_codex":0.0000013237584,"about_ca_topic_score_gemma":1.9403349e-7,"teacher_disagreement_score":0.75186116,"about_ca_system_score_codex":0.000010236231,"about_ca_system_score_gemma":0.000012643607,"threshold_uncertainty_score":0.4745808},"labels":[],"label_agreement":null},{"id":"W4240610667","doi":"10.1515/iupac.76.0348","title":"Proteomics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Computer science; Relation (database); Hazard; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; Linguistics; Philosophy","score_opus":0.012329714547990011,"score_gpt":0.3963687816863108,"score_spread":0.38403906713832076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240610667","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041295058,0.00016927652,0.008379117,0.00044345757,0.000066169465,0.0003433692,0.9899677,0.000254653,0.00033493232],"genre_scores_gemma":[0.0000025038853,0.0013773147,0.007088045,0.00012104926,0.0009254728,0.00032269116,0.9887182,0.00006781183,0.0013768967],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980372,0.000009297981,0.00045695537,0.00057297695,0.00052732875,0.00039619766],"domain_scores_gemma":[0.99778557,0.000044254386,0.00036314936,0.0013618761,0.0002975709,0.00014756422],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015480873,0.0004307128,0.00046265987,0.00007640622,0.00013486872,0.00004409702,0.0006815141,0.0005740961,0.0064715385],"category_scores_gemma":[0.00017309576,0.00034839366,0.00016919391,0.00009585164,0.00013721576,0.00006117163,0.000248023,0.0006662455,0.0000037475443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047690777,0.00011017513,0.0000013988821,0.00017444881,0.000034109275,0.000010067739,0.0000013850581,4.7007185e-7,0.0020525015,0.000073039446,0.9950719,0.0024228094],"study_design_scores_gemma":[0.00035560707,0.000026263648,1.43805e-7,0.0003421869,0.00004821546,0.000013307581,0.0000038963462,0.0000027178653,0.011073671,0.003326125,0.98434806,0.00045978258],"about_ca_topic_score_codex":0.000033589335,"about_ca_topic_score_gemma":0.000057699657,"teacher_disagreement_score":0.010723822,"about_ca_system_score_codex":0.0004812435,"about_ca_system_score_gemma":0.00044683198,"threshold_uncertainty_score":0.9998968},"labels":[],"label_agreement":null},{"id":"W4241698143","doi":"10.5603/fhc.2012.0050","title":"Secretomic analysis of large cell lung cancer cell lines using two-dimensional gel electrophoresis coupled to mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Folia Histochemica et Cytobiologica","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences; Shiraz University; Shiraz University of Medical Sciences","keywords":"Lung cancer; Vimentin; Gel electrophoresis; Cancer; Proteome; Cancer cell; Biology; Two-dimensional gel electrophoresis; Proteomics; Molecular biology; Cell culture; Chemistry; Biochemistry; Cancer research; Pathology; Immunology; Medicine; Immunohistochemistry; Genetics; Gene","score_opus":0.01207434365685223,"score_gpt":0.3068396429703917,"score_spread":0.29476529931353945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241698143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090315,0.0027689834,0.013785986,0.00005820071,0.000031452848,0.0003014495,0.0006453095,0.00014619334,0.0013593022],"genre_scores_gemma":[0.8888178,0.00015750641,0.10975743,0.00021710408,0.00012370538,0.00023600654,0.00033201466,0.00004013123,0.00031829978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980322,0.000024742176,0.00051682594,0.0005413324,0.00018324748,0.0007016183],"domain_scores_gemma":[0.9984723,0.000113729715,0.0004295357,0.0006125056,0.00015245631,0.00021950783],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019770398,0.00034881665,0.0006407581,0.00017713822,0.00014204906,0.0000103693255,0.00042376888,0.00025913407,0.0019354913],"category_scores_gemma":[0.000034295183,0.0003241857,0.00033936845,0.00081378437,0.00006560513,0.000077687466,0.00018725765,0.00030338133,0.0000073183073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082067796,0.00022386972,0.00354084,0.000048385748,0.00017020282,5.890017e-7,0.0000686525,0.00070242374,0.99433786,0.00012485546,0.0006965684,0.0000036875167],"study_design_scores_gemma":[0.00035560806,0.000021820917,0.000105845684,0.000020768834,0.00070994353,0.0000016424095,0.000029529292,0.007560288,0.99004096,0.00013604877,0.0006077924,0.0004097806],"about_ca_topic_score_codex":0.00027878222,"about_ca_topic_score_gemma":0.0000127042795,"teacher_disagreement_score":0.09597144,"about_ca_system_score_codex":0.0007574097,"about_ca_system_score_gemma":0.00008989456,"threshold_uncertainty_score":0.999921},"labels":[],"label_agreement":null},{"id":"W4243476872","doi":"10.1126/science.312.5772.343b","title":"DATABASES: Protein Geography","year":2006,"lang":"en","type":"article","venue":"Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Database; Geography; Computer science","score_opus":0.010518656419127323,"score_gpt":0.2800372634674073,"score_spread":0.26951860704828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243476872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8229869,0.000090562484,0.078633025,0.00020075086,0.000012190246,0.00019043736,0.000046530757,0.00034787587,0.09749172],"genre_scores_gemma":[0.8452972,0.0000028440022,0.1537166,0.000025913103,0.000044538196,0.00013548255,0.00000957957,0.00000478516,0.0007630534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993926,8.0089796e-7,0.00007628926,0.00022109562,0.00014296957,0.00016620928],"domain_scores_gemma":[0.99955344,0.0000045694123,0.000035067165,0.0003396383,0.000034788172,0.00003249214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008812936,0.00004792753,0.000034951416,0.000035866648,0.00019304972,0.000027291358,0.00029889637,0.000011180003,0.000119901626],"category_scores_gemma":[0.000011921147,0.000044279022,0.000017471823,0.0003354579,0.00032280385,0.00016090079,0.00007401676,0.000058957412,0.000018935081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.137911e-7,0.000018163613,0.0013435364,0.0000045287643,1.6551012e-7,4.0906488e-7,0.0000014905395,0.000005102386,0.96361303,0.033822786,0.000055900124,0.0011342965],"study_design_scores_gemma":[0.000031601565,0.0000018983051,0.00031836773,0.000010423089,7.561362e-7,0.0000015874571,0.000005807818,0.00009491933,0.93280077,0.019941632,0.046719536,0.00007269044],"about_ca_topic_score_codex":0.00006925006,"about_ca_topic_score_gemma":0.0000037569087,"teacher_disagreement_score":0.09672866,"about_ca_system_score_codex":0.000017303206,"about_ca_system_score_gemma":0.00003551996,"threshold_uncertainty_score":0.18056461},"labels":[],"label_agreement":null},{"id":"W4244017402","doi":"10.1007/978-3-319-67199-4_621","title":"LCoR","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.024932879072150433,"score_gpt":0.2878861729470525,"score_spread":0.26295329387490207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244017402","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011184834,0.00006713216,0.0047968547,0.00010793299,0.000010537626,0.00006583991,0.00005603761,0.00023812031,0.99465644],"genre_scores_gemma":[0.00013166049,0.0002773696,0.023554146,0.000047345755,0.00019010635,0.00004395851,0.000060841936,0.000047140824,0.97564745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995279,1.1778906e-7,0.000111397014,0.00021343968,0.00006339351,0.00008377019],"domain_scores_gemma":[0.99892443,0.000008405852,0.00015036033,0.00084807875,0.000028182505,0.0000405348],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000012259294,0.00014784819,0.00013842937,0.000012468039,0.000103040635,0.0000240957,0.0003056541,0.00026914553,0.010777527],"category_scores_gemma":[0.0000037075006,0.00013971265,0.00008616764,6.580526e-7,0.000051194398,0.000021722097,0.000091496426,0.00024045486,0.0003976219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015360408,0.000002739414,8.767318e-7,0.000024202918,0.000011745232,0.0000027715653,0.0000012662238,7.494779e-8,0.0021212953,0.96095276,0.007982758,0.02889798],"study_design_scores_gemma":[0.00002304011,0.0000013550879,3.0860992e-8,0.00003500282,0.000008174838,0.0000027300218,1.9391088e-7,0.0000031864527,0.013075551,0.27796465,0.70875657,0.00012948786],"about_ca_topic_score_codex":0.0000042548995,"about_ca_topic_score_gemma":0.0000032447444,"teacher_disagreement_score":0.70077384,"about_ca_system_score_codex":0.000027862847,"about_ca_system_score_gemma":0.000019398834,"threshold_uncertainty_score":0.9901267},"labels":[],"label_agreement":null},{"id":"W4244162358","doi":"10.18699/bgrssb-2018-084","title":"Integrated experimental and computational pipeline for proteomewide in tissue crosslinking analysis","year":2018,"lang":"ru","type":"article","venue":"11-ая Международная конференция по биоинформатике регуляции и структуры геномов и системной биологии","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Genome British Columbia","funders":"","keywords":"Pipeline (software); Computer science; Programming language","score_opus":0.017731815607467685,"score_gpt":0.3425174551165973,"score_spread":0.32478563950912964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244162358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6113973,0.0029550851,0.36853445,0.002187148,0.0005444239,0.006458144,0.0029328167,0.0011075224,0.0038831295],"genre_scores_gemma":[0.8541387,0.00019703964,0.13141637,0.00062380364,0.001560025,0.0029893157,0.0023302946,0.00044919614,0.006295294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9881825,0.00025526964,0.0036103427,0.0038884713,0.00128403,0.002779394],"domain_scores_gemma":[0.99261457,0.0008538409,0.0017645196,0.002370163,0.0014176731,0.0009792334],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0015668593,0.0023008627,0.0028710742,0.0017185127,0.0018298116,0.0010180431,0.0019384366,0.0017576362,0.0021627094],"category_scores_gemma":[0.000467125,0.002565343,0.0009276187,0.004266336,0.0021273354,0.0010111958,0.0011496539,0.0017905425,0.0002684052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061903195,0.010540062,0.07753174,0.0034793217,0.0052868794,0.0003885239,0.014474078,0.010161532,0.7495197,0.03753557,0.023816586,0.061075673],"study_design_scores_gemma":[0.011287854,0.0012058346,0.002747596,0.0013772419,0.0024098174,0.00021367814,0.003210146,0.27934447,0.54992723,0.030381195,0.1118492,0.0060457746],"about_ca_topic_score_codex":0.0012852655,"about_ca_topic_score_gemma":0.0009494394,"teacher_disagreement_score":0.26918292,"about_ca_system_score_codex":0.0012988857,"about_ca_system_score_gemma":0.0007950154,"threshold_uncertainty_score":0.9995383},"labels":[],"label_agreement":null},{"id":"W4244341892","doi":"10.1142/18609475730043","title":"CODON-BASED DETECTION OF POSITIVE SELECTION CAN BE BIASED BY HETEROGENEOUS DISTRIBUTION OF POLAR AMINO ACIDS ALONG PROTEIN SEQUENCES","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health","keywords":"Polar; Selection (genetic algorithm); Amino acid; Distribution (mathematics); Computer science; Computational biology; Biology; Genetics; Mathematics; Artificial intelligence; Physics","score_opus":0.006850778433556958,"score_gpt":0.2340981801582876,"score_spread":0.22724740172473062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244341892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7578755,0.000021227388,0.24040294,0.000076323035,0.0000029374694,0.00027895474,0.0010860849,0.00010539105,0.00015064399],"genre_scores_gemma":[0.99395823,0.0000023730545,0.0044162925,0.000014159292,0.000019471237,0.00018050715,0.0012823103,0.000014870849,0.00011175593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991195,0.000019050489,0.0003287109,0.00022413609,0.00015312282,0.00015543449],"domain_scores_gemma":[0.9993259,0.000028843915,0.00027371623,0.0001635525,0.00017535622,0.000032672036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060541257,0.00013508165,0.0001575735,0.000032680782,0.000097211574,0.000009577982,0.000092022354,0.0001363463,0.000029145913],"category_scores_gemma":[0.00001613426,0.0001378676,0.00007347855,0.00017355003,0.000098682955,0.000051494233,0.000011823655,0.00010377401,2.6547661e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003892726,0.00009727897,0.0013251082,0.00004264527,0.000009433283,3.0904232e-7,0.0000047353797,0.0003606623,0.9973512,0.00018510928,0.000019976304,0.00056458014],"study_design_scores_gemma":[0.00021187475,0.00009694526,0.00017136135,0.000031574105,0.000016417496,0.000004608605,0.000013736033,0.002422206,0.99623865,0.0004785646,0.00017934576,0.00013472338],"about_ca_topic_score_codex":0.008550216,"about_ca_topic_score_gemma":0.0008212295,"teacher_disagreement_score":0.23608275,"about_ca_system_score_codex":0.00017287496,"about_ca_system_score_gemma":0.00004696992,"threshold_uncertainty_score":0.99805194},"labels":[],"label_agreement":null},{"id":"W4246507410","doi":"10.1177/117693510500100110","title":"Impact of Freeze-thaw Cycles and Storage Time on Plasma Samples Used in Mass Spectrometry Based Biomarker Discovery Projects","year":2005,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Mass spectrometry; Biomarker discovery; Biomarker; Proteomics; Chromatography; Chemistry; Sample (material); Bioinformatics; Biology; Biochemistry","score_opus":0.023613741770215704,"score_gpt":0.30665539102436484,"score_spread":0.28304164925414915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246507410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98501277,0.000041870426,0.011491279,0.000046759014,0.0000057377397,0.00022218635,0.00067409285,0.00005651583,0.0024487819],"genre_scores_gemma":[0.93985325,0.00007474287,0.059732918,0.000036866106,0.00003112894,0.00009992579,0.00006143044,0.00001935064,0.000090398185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915576,0.00000500405,0.00038195,0.000105827916,0.00014162775,0.00020980866],"domain_scores_gemma":[0.99927634,0.00009828563,0.00023919897,0.00030768532,0.000024936653,0.000053543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007600119,0.00016805643,0.00022655026,0.00013595512,0.000036129204,0.000036185727,0.00015413322,0.0000988357,0.00016432923],"category_scores_gemma":[0.000024499572,0.0001452606,0.00006571721,0.00019743555,0.00007538904,0.00032925582,0.000035404948,0.00015944798,0.0000042707998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039496078,0.00036516745,0.16966426,0.0009891641,0.00012752475,0.0000025824943,0.0014343555,0.01773567,0.7905524,0.0009343666,0.0015990669,0.016200507],"study_design_scores_gemma":[0.0019454047,0.00012939372,0.019300459,0.0004922947,0.000033266966,0.000004313512,0.00032255644,0.0738828,0.90181077,0.00067815837,0.0007987296,0.00060186256],"about_ca_topic_score_codex":0.000115101226,"about_ca_topic_score_gemma":0.000034183005,"teacher_disagreement_score":0.15036382,"about_ca_system_score_codex":0.0002516557,"about_ca_system_score_gemma":0.00011435523,"threshold_uncertainty_score":0.5923555},"labels":[],"label_agreement":null},{"id":"W4246560524","doi":"10.32920/ryerson.14645256.v1","title":"Identification and Quantification of Proteins from Preparative Partition Chromatography and Peptides from Organic Extraction of Fetal Versus Adult Bovine Serum using Nano-Spray-LC-ESI-MS/MS","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fetal bovine serum; Fetus; Trypsin; Cell culture; Bovine serum albumin; Growth factor; Cell; Chemistry; Proteomics; Biology; Cell growth; Chromatography; Biochemistry; Receptor; Pregnancy","score_opus":0.023927648477707005,"score_gpt":0.30133659779759947,"score_spread":0.27740894931989246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246560524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84276754,0.00040203173,0.1549783,0.000053609027,0.000057471934,0.00071014476,0.0007934702,0.00010911175,0.00012830072],"genre_scores_gemma":[0.9288051,0.00076578796,0.06819201,0.0000028997679,0.000074126336,0.0002964115,0.0017874658,0.00004061675,0.000035562596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978125,0.000051973206,0.0008676906,0.00086409977,0.00025189,0.00015183799],"domain_scores_gemma":[0.9971307,0.0001200564,0.0014109431,0.0007779633,0.00049198925,0.000068384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011444302,0.0003217001,0.00046977922,0.00010327927,0.00013460369,0.000101389815,0.00016599991,0.00044027215,0.00023955967],"category_scores_gemma":[0.000087334236,0.00035854103,0.000117962765,0.0001925768,0.00019456484,0.00033580099,0.00022910611,0.0003200845,9.715118e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016785756,0.000167158,0.0013866969,0.00033009436,0.00015696656,3.9635322e-7,0.00037201055,0.000058508696,0.99641466,0.00031532306,0.0000069250705,0.0006234261],"study_design_scores_gemma":[0.00045526915,0.00003496702,0.0028807097,0.0004851307,0.00023588452,0.0000024337953,0.0007049974,0.005087224,0.98615044,0.0036424191,0.000012840591,0.00030767274],"about_ca_topic_score_codex":0.0022320298,"about_ca_topic_score_gemma":0.0006047642,"teacher_disagreement_score":0.08678629,"about_ca_system_score_codex":0.00008364998,"about_ca_system_score_gemma":0.000102613776,"threshold_uncertainty_score":0.99988663},"labels":[],"label_agreement":null},{"id":"W4246703660","doi":"10.7287/peerj.preprints.424","title":"The exhaustive genome comparison effort. A quarter-century later","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Genomics; Data science; Quarter (Canadian coin); Genome; Computer science; Big data; Function (biology); Computational biology; Data mining; Biology; Evolutionary biology; History; Genetics; Archaeology; Gene","score_opus":0.013071715529389011,"score_gpt":0.28853873591400564,"score_spread":0.2754670203846166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246703660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15116017,0.0014497597,0.57133627,0.0027193176,0.00035298904,0.0020900515,0.00024081187,0.0020802836,0.26857033],"genre_scores_gemma":[0.9711071,0.00039907917,0.022827325,0.00011490217,0.00032566424,0.0011529052,0.00027127276,0.000052904925,0.003748813],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862254,0.000006716835,0.00042227932,0.00048577454,0.00015346156,0.0003092264],"domain_scores_gemma":[0.9983407,0.000061107006,0.00029819977,0.0011391795,0.00007983658,0.000080967504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011420156,0.00029959375,0.00031184958,0.000019925248,0.00024815515,0.000123158,0.00068151054,0.00035763654,0.00035886446],"category_scores_gemma":[0.0000057429083,0.00020731486,0.00016526134,0.00003056737,0.00010015689,0.000019940093,0.0006495862,0.0009074681,0.000097160824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011773675,0.003102854,0.027425932,0.0060229185,0.0034207187,0.000037175105,0.007007529,0.020689512,0.36821002,0.319754,0.1364813,0.10667067],"study_design_scores_gemma":[0.0003463634,0.000029024863,0.0003283237,0.00013240869,0.00009793285,0.0000062753525,0.00033345772,0.007898676,0.09257282,0.053399645,0.84385234,0.0010027086],"about_ca_topic_score_codex":0.000027179663,"about_ca_topic_score_gemma":0.0000093866565,"teacher_disagreement_score":0.81994694,"about_ca_system_score_codex":0.00010365994,"about_ca_system_score_gemma":0.00003316864,"threshold_uncertainty_score":0.8454055},"labels":[],"label_agreement":null},{"id":"W4246756847","doi":"10.32920/14638320.v1","title":"The plasma peptides of ovarian cancer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Institute for Cancer Research","keywords":"Chemistry; Tandem mass spectrometry; Electrospray ionization; Chromatography; Ovarian cancer; Mass spectrometry; Isobaric labeling; In vivo; Blood proteins; High-performance liquid chromatography; Cancer; Protein mass spectrometry; Biochemistry; Internal medicine; Biology; Medicine","score_opus":0.01854199700071842,"score_gpt":0.30097877757918734,"score_spread":0.28243678057846894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246756847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5165791,0.002489286,0.08554206,0.004773482,0.0002444848,0.00077761017,0.00046942342,0.00062840816,0.38849616],"genre_scores_gemma":[0.84421736,0.004242025,0.13298696,0.0000465135,0.00018044961,0.0014419574,0.00008491773,0.00004156611,0.016758231],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992997,0.000004455755,0.0002361623,0.00024117767,0.00009984529,0.00011866074],"domain_scores_gemma":[0.99888927,0.00006723903,0.0001901663,0.00071467576,0.0001100744,0.000028588755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005215923,0.00012554535,0.00015975554,0.000009057228,0.00008941248,0.000043274697,0.00038499697,0.00018137271,0.00066798704],"category_scores_gemma":[0.000020502936,0.00009116647,0.000108977685,0.000040909807,0.000069482885,0.00001326912,0.0005414077,0.00038871221,0.0000013644213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061032726,0.00022307165,0.0021347913,0.0015419562,0.00057528936,0.000006397912,0.0005293431,0.0032143139,0.6897924,0.1630339,0.007440961,0.13144656],"study_design_scores_gemma":[0.000059126425,0.000001297449,0.000022870308,0.00014831079,0.000022394266,0.0000013794217,0.00016890022,0.00073677785,0.95934755,0.014943066,0.024397224,0.00015111823],"about_ca_topic_score_codex":0.00046207942,"about_ca_topic_score_gemma":0.00018544389,"teacher_disagreement_score":0.37173793,"about_ca_system_score_codex":0.00004641583,"about_ca_system_score_gemma":0.0001393225,"threshold_uncertainty_score":0.73139894},"labels":[],"label_agreement":null},{"id":"W4247070905","doi":"10.32920/ryerson.14669061","title":"Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fonds National de la Recherche Luxembourg","keywords":"Computer science; Database; SQL; Computational biology; Bioinformatics; Proteomics; Biology; Biochemistry; Gene","score_opus":0.02200467162228378,"score_gpt":0.29900543384962414,"score_spread":0.2770007622273404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247070905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9050707,0.00017859023,0.09230382,0.00016864446,0.000008297405,0.0012094326,0.0004869858,0.000049554565,0.00052394066],"genre_scores_gemma":[0.6869642,0.00024058891,0.3109401,0.000014466982,0.000023195078,0.00048452578,0.0010401187,0.00002854124,0.00026428045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988854,0.000008324506,0.00049857935,0.00039499463,0.000078548495,0.00013417698],"domain_scores_gemma":[0.99904907,0.000051609768,0.0004225142,0.00034523458,0.000096376934,0.000035223984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013047893,0.00017375076,0.00033482412,0.00008182723,0.000029045792,0.00003992309,0.000117101714,0.00021754736,0.00010137121],"category_scores_gemma":[0.00010862078,0.00018936457,0.0000650639,0.00010199612,0.000027980794,0.00008883527,0.00029933144,0.00018733114,6.39134e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055887325,0.00009384212,0.001094495,0.001697831,0.000088534645,0.0000010562459,0.00009446988,0.000004328791,0.9941239,0.0002523212,0.000009378537,0.0024839693],"study_design_scores_gemma":[0.00054379087,0.0000146716275,0.00014191774,0.0015711655,0.000055124463,0.000003078581,0.00013151695,0.0009639903,0.99569196,0.0006304954,0.00006851629,0.00018376867],"about_ca_topic_score_codex":0.00030771227,"about_ca_topic_score_gemma":0.000037127767,"teacher_disagreement_score":0.21863627,"about_ca_system_score_codex":0.000029441417,"about_ca_system_score_gemma":0.00018604923,"threshold_uncertainty_score":0.7722063},"labels":[],"label_agreement":null},{"id":"W4247391625","doi":"10.1023/b:lips.0000032383.40916.e2","title":"A novel procedure for separating small peptides on polyacrylamide gels","year":2003,"lang":"en","type":"article","venue":"Letters in Peptide Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Isoelectric focusing; Peptide; Glycine; Chromatography; Isoelectric point; Coomassie Brilliant Blue; Electrophoresis; Polyacrylamide gel electrophoresis; Polyacrylamide; Amino acid; Staining; Biochemistry; Polymer chemistry","score_opus":0.022310165500352065,"score_gpt":0.2901943931735823,"score_spread":0.2678842276732302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247391625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89148587,0.000011120367,0.09536631,0.0011965967,0.000028567696,0.00041418642,0.000017653916,0.00012549474,0.011354214],"genre_scores_gemma":[0.6533303,0.0000024703031,0.34358618,0.002086695,0.000044185184,0.0004731754,0.0000025598224,0.00001838752,0.0004560393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985296,0.0000038699677,0.00024724475,0.0005532921,0.00018942691,0.00047654836],"domain_scores_gemma":[0.9992698,0.00010925542,0.00011875344,0.00038451803,0.00004517637,0.00007253864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035345388,0.00016277729,0.0001334679,0.00010002302,0.0002742427,0.00007296324,0.00045949026,0.000053558553,0.000014404213],"category_scores_gemma":[0.0003549423,0.00016213945,0.000052434934,0.0004187616,0.0002766715,0.00015589163,0.000042742307,0.00022133853,0.000005836972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006703573,0.00004045268,0.000685081,0.000032172054,0.0000011420723,9.34419e-7,0.00011761776,0.00086579815,0.9847704,0.012887353,0.00019273833,0.00039956605],"study_design_scores_gemma":[0.00031695887,0.000021272976,0.000121903955,0.00012897412,0.0000029847574,0.000017898014,0.00011653101,0.001332399,0.9891917,0.0043612663,0.0041060094,0.0002820766],"about_ca_topic_score_codex":0.000014396455,"about_ca_topic_score_gemma":0.000018153258,"teacher_disagreement_score":0.24821986,"about_ca_system_score_codex":0.00016816781,"about_ca_system_score_gemma":0.000091177055,"threshold_uncertainty_score":0.6611855},"labels":[],"label_agreement":null},{"id":"W4248103311","doi":"10.1007/978-1-4939-2864-4_286","title":"Peptide De Novo Sequencing with MS/MS","year":2016,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Algorithms","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computational biology; Chemistry; Biology","score_opus":0.01161642105683867,"score_gpt":0.24262562290718848,"score_spread":0.23100920185034982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248103311","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037800055,0.00022675311,0.04473242,0.00009310815,0.000031805397,0.00023829269,0.00032145155,0.00022428315,0.9537539],"genre_scores_gemma":[0.00025103096,0.00320104,0.2561528,0.00004336155,0.000863173,0.00015775619,0.00007306881,0.00018848309,0.7390693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983472,0.0000033502502,0.00046070534,0.0005227473,0.00029967906,0.00036630043],"domain_scores_gemma":[0.998353,0.000091713606,0.0004819052,0.0007752856,0.0001472722,0.00015081734],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009116257,0.00044004392,0.00046805813,0.00007993531,0.000084967,0.000012716288,0.0004429431,0.00044326793,0.0015512678],"category_scores_gemma":[0.000016615888,0.00035787054,0.00015282715,0.000031098843,0.00020349986,0.00008886581,0.00011862467,0.00051874045,0.000056669327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003022345,0.0002359291,0.0006978551,0.0022380399,0.00120416,0.00071328337,0.0014941435,0.0001245931,0.07027744,0.5463174,0.008272863,0.36812207],"study_design_scores_gemma":[0.00048906845,0.00008265248,0.0000040124173,0.0012146881,0.00013069368,0.00015062306,0.000017438717,0.00003640923,0.037021097,0.08675626,0.87314075,0.00095633615],"about_ca_topic_score_codex":0.00003871035,"about_ca_topic_score_gemma":0.000015083947,"teacher_disagreement_score":0.86486787,"about_ca_system_score_codex":0.0003257952,"about_ca_system_score_gemma":0.00032706125,"threshold_uncertainty_score":0.99988735},"labels":[],"label_agreement":null},{"id":"W4249116125","doi":"10.1109/dexa.2004.1333501","title":"Developing a database for proteomic analysis of extracytosolic plant proteins","year":2004,"lang":"en","type":"article","venue":"Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Database; Online database; World Wide Web","score_opus":0.036214716336331096,"score_gpt":0.3285035115830563,"score_spread":0.2922887952467252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249116125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049630273,0.0011395735,0.93697244,0.0013988015,0.000056949564,0.0035583028,0.0056588785,0.0002876664,0.0012971385],"genre_scores_gemma":[0.58083725,0.0018666674,0.36649296,0.00036225142,0.00074820995,0.04089369,0.008176038,0.00011170991,0.000511255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99778104,0.0000036484612,0.0007717143,0.0007691757,0.00036574714,0.00030869545],"domain_scores_gemma":[0.99842256,0.00007312016,0.0005490728,0.00044767547,0.00037178956,0.00013579094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026019505,0.00031614452,0.0004296654,0.0003863878,0.00030906222,0.000115676616,0.00056402094,0.00014150985,0.00003222963],"category_scores_gemma":[0.00009507351,0.0003056628,0.0001258293,0.0005926514,0.00009834043,0.00035396885,0.00015066263,0.00021389974,0.0000064146584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003520636,0.0006238016,0.0005585139,0.0007871774,0.0010350621,0.0000016812528,0.00041573535,0.0007350743,0.4017801,0.58922035,0.0016701088,0.002820316],"study_design_scores_gemma":[0.0031314334,0.00008067857,0.00008026328,0.0032394456,0.0005894225,0.000074560456,0.002042338,0.022473669,0.7323526,0.0059758215,0.22818756,0.0017721929],"about_ca_topic_score_codex":0.00014998156,"about_ca_topic_score_gemma":0.000008788171,"teacher_disagreement_score":0.58324456,"about_ca_system_score_codex":0.00028463002,"about_ca_system_score_gemma":0.000098266006,"threshold_uncertainty_score":0.99993956},"labels":[],"label_agreement":null},{"id":"W4249287158","doi":"10.32920/14638320","title":"The plasma peptides of ovarian cancer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Institute for Cancer Research","keywords":"Chemistry; Tandem mass spectrometry; Electrospray ionization; Ovarian cancer; Chromatography; Mass spectrometry; Isobaric labeling; Blood proteins; In vivo; High-performance liquid chromatography; Cancer; Protein mass spectrometry; Biochemistry; Internal medicine; Biology; Medicine","score_opus":0.01854199700071842,"score_gpt":0.30097877757918734,"score_spread":0.28243678057846894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249287158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5165791,0.002489286,0.08554206,0.004773482,0.0002444848,0.00077761017,0.00046942342,0.00062840816,0.38849616],"genre_scores_gemma":[0.84421736,0.004242025,0.13298696,0.0000465135,0.00018044961,0.0014419574,0.00008491773,0.00004156611,0.016758231],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992997,0.000004455755,0.0002361623,0.00024117767,0.00009984529,0.00011866074],"domain_scores_gemma":[0.99888927,0.00006723903,0.0001901663,0.00071467576,0.0001100744,0.000028588755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005215923,0.00012554535,0.00015975554,0.000009057228,0.00008941248,0.000043274697,0.00038499697,0.00018137271,0.00066798704],"category_scores_gemma":[0.000020502936,0.00009116647,0.000108977685,0.000040909807,0.000069482885,0.00001326912,0.0005414077,0.00038871221,0.0000013644213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061032726,0.00022307165,0.0021347913,0.0015419562,0.00057528936,0.000006397912,0.0005293431,0.0032143139,0.6897924,0.1630339,0.007440961,0.13144656],"study_design_scores_gemma":[0.000059126425,0.000001297449,0.000022870308,0.00014831079,0.000022394266,0.0000013794217,0.00016890022,0.00073677785,0.95934755,0.014943066,0.024397224,0.00015111823],"about_ca_topic_score_codex":0.00046207942,"about_ca_topic_score_gemma":0.00018544389,"teacher_disagreement_score":0.37173793,"about_ca_system_score_codex":0.00004641583,"about_ca_system_score_gemma":0.0001393225,"threshold_uncertainty_score":0.73139894},"labels":[],"label_agreement":null},{"id":"W4249738917","doi":"10.3410/f.738152756.793580392","title":"Faculty Opinions recommendation of The proteome landscape of the kingdoms of life.","year":2020,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Proteome; Computational biology; Proteomics; Identification (biology); Biology; Genome; Evolutionary biology; Workflow; Bioinformatics; Ecology; Biochemistry; Computer science; Gene","score_opus":0.028085067625589766,"score_gpt":0.3331120426160911,"score_spread":0.30502697499050135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249738917","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000030857013,0.0003829744,0.000116384035,0.1508662,0.000206967,0.0016818956,0.8465963,0.00003138851,0.00011479535],"genre_scores_gemma":[0.00012872549,0.0002839883,0.0015315858,0.0016732817,0.00020470929,0.00062969164,0.99506724,0.000032070555,0.0004486942],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958231,0.00021961567,0.0019217178,0.0005509798,0.0012249977,0.0002595869],"domain_scores_gemma":[0.9905902,0.00014080037,0.003571834,0.0023769974,0.0031460319,0.00017410197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064413255,0.00045499072,0.00094884256,0.00010500644,0.00023587247,0.00004268152,0.00324418,0.0006625413,0.00037724257],"category_scores_gemma":[0.0055632605,0.00023615644,0.00091077114,0.0020557416,0.0005788185,0.00014790369,0.001119989,0.0013350642,0.000007874473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000129860355,0.00023892707,0.00002069143,0.0087819435,0.0001036076,1.8055951e-8,0.00007037081,4.4703265e-7,0.00018170448,0.0007355975,0.9894202,0.00043355915],"study_design_scores_gemma":[0.00039156084,0.000035316847,0.00031739127,0.008752232,0.00016191092,0.000007496849,0.000026664984,0.000012322378,0.0026297553,0.0001888303,0.9872534,0.00022307342],"about_ca_topic_score_codex":0.000038828002,"about_ca_topic_score_gemma":0.000003077993,"teacher_disagreement_score":0.14919291,"about_ca_system_score_codex":0.00006551727,"about_ca_system_score_gemma":0.00059335656,"threshold_uncertainty_score":0.963018},"labels":[],"label_agreement":null},{"id":"W4250046522","doi":"10.1255/ejms.404","title":"Structural Modifications of <i>Methanococcus Jannaschii</i> Flagellin Proteins Revealed by Proteome Analysis","year":2001,"lang":"en","type":"article","venue":"European Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biological and Environmental Research; University of Illinois at Urbana-Champaign; Ryerson University; U.S. Department of Energy","keywords":"Methanococcus; Biochemistry; Halobacterium salinarum; Biology; Proteome; Isoelectric point; Flagellin; Archaea; Azotobacter vinelandii; Autotroph; Chemistry; Gene; Genetics; Bacteria","score_opus":0.013533885688377056,"score_gpt":0.2539261412125346,"score_spread":0.24039225552415755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250046522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60170364,0.00043895107,0.3824797,0.00044296242,0.000019194935,0.00025534883,0.0000989018,0.00005957231,0.014501732],"genre_scores_gemma":[0.80654436,0.00023525138,0.19181143,0.000019756875,0.00016381954,0.000012860818,0.00002186444,0.000045007906,0.0011456395],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99780875,0.00013658065,0.0010729426,0.00028690565,0.00039503703,0.0002997863],"domain_scores_gemma":[0.9974254,0.000055929715,0.0014045403,0.00064894924,0.00028274456,0.00018247472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006720376,0.00024017885,0.000516939,0.0004492005,0.000119925666,0.000040835796,0.0007654777,0.000057487734,0.000672925],"category_scores_gemma":[0.0001139853,0.00021658905,0.00042821787,0.001535739,0.00011138943,0.00017579258,0.000060352202,0.0006021446,0.000012314437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007287309,0.00008802142,0.0016117413,0.00003322579,0.0003397846,0.000032061092,0.000045054865,0.00022899598,0.9960007,0.00035655062,0.00032137762,0.00086961343],"study_design_scores_gemma":[0.0009969155,0.00025277448,0.002353488,0.00008716896,0.0005738466,0.00013385984,0.000116952215,0.00036264968,0.9842728,0.005114822,0.0052858046,0.00044894876],"about_ca_topic_score_codex":0.0000046811265,"about_ca_topic_score_gemma":5.9777665e-7,"teacher_disagreement_score":0.20484073,"about_ca_system_score_codex":0.00009480975,"about_ca_system_score_gemma":0.000041373827,"threshold_uncertainty_score":0.88322455},"labels":[],"label_agreement":null},{"id":"W4250258109","doi":"10.1016/s1535-9476(20)31974-5","title":"Calendar","year":2007,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Biology","score_opus":0.006703620598381294,"score_gpt":0.24631857159533035,"score_spread":0.23961495099694907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250258109","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4201249,0.0001496261,0.57066286,0.0000919298,0.000018051367,0.00024345527,0.000030433843,0.00022830395,0.008450428],"genre_scores_gemma":[0.64384055,0.000021667372,0.35444862,0.00018467556,0.00010795874,0.00013481567,0.000065401044,0.000078598336,0.0011177287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985416,0.000007825638,0.00034710628,0.00041627084,0.00021933422,0.0004678719],"domain_scores_gemma":[0.9989039,0.000017544446,0.00013239561,0.00071028405,0.00007347938,0.00016240732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002751049,0.00022945201,0.00018057451,0.000059175003,0.00014106663,0.000021556969,0.00036959889,0.00021591634,0.00023890659],"category_scores_gemma":[0.00003132465,0.00025350033,0.00014190451,0.00016760756,0.000090091715,0.000056622903,0.0001248733,0.0003763064,0.000072684496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016976903,0.000052334268,0.00009881472,0.00003158873,0.000013533447,0.00007313316,0.000025860796,0.000025874133,0.9879729,0.009091329,0.000061988845,0.0025356722],"study_design_scores_gemma":[0.00022312965,0.00001268386,0.0000044762473,0.000017203263,0.000015065999,0.000017312903,0.000023324908,0.00014174424,0.9582333,0.009618957,0.031400267,0.00029251343],"about_ca_topic_score_codex":0.000019671967,"about_ca_topic_score_gemma":0.000002584632,"teacher_disagreement_score":0.22371563,"about_ca_system_score_codex":0.00011232829,"about_ca_system_score_gemma":0.00004064184,"threshold_uncertainty_score":0.9999917},"labels":[],"label_agreement":null},{"id":"W4250577635","doi":"10.7554/elife.46883.sa2","title":"Author response: Proteome-wide signatures of function in highly diverged intrinsically disordered regions","year":2019,"lang":"en","type":"peer-review","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Proteome; Function (biology); Computational biology; Evolutionary biology; Intrinsically disordered proteins; Biology; Biophysics; Bioinformatics","score_opus":0.021639820734884768,"score_gpt":0.30541097347656376,"score_spread":0.28377115274167897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250577635","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013334486,0.05240219,0.19172074,0.62800384,0.0019201029,0.024055608,0.005859111,0.0032235512,0.07948037],"genre_scores_gemma":[0.015655175,0.0034049938,0.0221683,0.0011705703,0.00019228454,0.003445529,0.002060787,0.00017089015,0.95173144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973717,0.00009059588,0.000963782,0.0007701922,0.00044428674,0.00035945768],"domain_scores_gemma":[0.9970536,0.00045210918,0.00071956374,0.0013502842,0.00033053252,0.00009389261],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004442419,0.00047117882,0.0009347148,0.0002218197,0.00007518193,0.000022549955,0.0006673769,0.0008480317,0.001147531],"category_scores_gemma":[0.0008954719,0.00042573913,0.00029952804,0.0004923963,0.00010559213,0.00008348348,0.00031040993,0.0013314376,0.000040081355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007503937,0.000259973,0.0000814496,0.0045291116,0.000069873175,0.0000035693247,0.000020834801,0.000032118354,0.03515648,0.0038521048,0.9529027,0.0023414232],"study_design_scores_gemma":[0.0003965082,0.0000821315,0.00014017214,0.0032531766,0.00010050509,0.0000014574262,0.000013526109,0.00002157082,0.01193057,0.0059459084,0.97761095,0.00050354906],"about_ca_topic_score_codex":0.00014340316,"about_ca_topic_score_gemma":0.00008225353,"teacher_disagreement_score":0.8722511,"about_ca_system_score_codex":0.00019071609,"about_ca_system_score_gemma":0.00031175074,"threshold_uncertainty_score":0.99981946},"labels":[],"label_agreement":null},{"id":"W4250842320","doi":"10.3410/f.725813339.793517060","title":"Faculty Opinions recommendation of Proteome-wide profiling of protein assemblies by cross-linking mass spectrometry.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mass spectrometry; Profiling (computer programming); Proteome; Chromatography; Chemistry; Computational biology; Computer science; Biology; Biochemistry","score_opus":0.022305141198849156,"score_gpt":0.3546291282387976,"score_spread":0.3323239870399485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250842320","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000054207676,0.0007816863,0.003108815,0.04742255,0.00013566499,0.0026642426,0.94561243,0.000092617614,0.00017657802],"genre_scores_gemma":[0.00001971934,0.0003686239,0.025738843,0.00040577978,0.00021677048,0.0018312031,0.96982044,0.000056736106,0.0015419109],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99450564,0.00016969207,0.0024800643,0.0009057947,0.0014559574,0.00048282166],"domain_scores_gemma":[0.9883092,0.00019932077,0.003872116,0.0020650933,0.0053221653,0.00023210277],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012717337,0.0006736127,0.0012122525,0.00034736248,0.00027668622,0.0001308527,0.0022872062,0.0010161253,0.0005671733],"category_scores_gemma":[0.005523314,0.0004465822,0.0006882957,0.0017868996,0.0005562936,0.00043324777,0.0005874554,0.0013297431,0.000012722288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019502384,0.00031230418,0.000025281965,0.016229207,0.00012461391,9.881279e-8,0.000019380388,8.0619465e-8,0.005281617,0.00061716227,0.97658336,0.00078738306],"study_design_scores_gemma":[0.00049044826,0.00007051248,0.00003119336,0.018747965,0.00008903925,0.000008036089,0.000012274632,0.0000036247034,0.06102182,0.0005200261,0.91859174,0.00041334308],"about_ca_topic_score_codex":0.00002532858,"about_ca_topic_score_gemma":9.418501e-7,"teacher_disagreement_score":0.05799165,"about_ca_system_score_codex":0.0002186497,"about_ca_system_score_gemma":0.0004832447,"threshold_uncertainty_score":0.9997986},"labels":[],"label_agreement":null},{"id":"W4251814821","doi":"10.1007/s12192-020-01187-w","title":"Correction to: A robust strategy for proteomic identification of biomarkers of invasive phenotype complexed with extracellular heat shock proteins","year":2020,"lang":"en","type":"erratum","venue":"Cell Stress and Chaperones","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Heat shock protein; Phenotype; Identification (biology); Computational biology; Proteome; Extracellular; Biology; Heat shock; Cell biology; Bioinformatics; Biochemistry; Gene; Ecology","score_opus":0.021254218851508657,"score_gpt":0.2456114421170104,"score_spread":0.22435722326550173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251814821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39108038,0.010104885,0.5485961,0.0008929899,0.0031194359,0.024224611,0.009416254,0.0006619982,0.011903381],"genre_scores_gemma":[0.9286098,0.0016561319,0.030622775,0.000017066259,0.0006329499,0.005616809,0.005009437,0.00025192898,0.027583117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985185,0.000011799467,0.0005409233,0.00055347354,0.00017297654,0.00020231686],"domain_scores_gemma":[0.9987069,0.00004748458,0.00053829607,0.00037273875,0.00023565821,0.00009892958],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000047194117,0.00032212114,0.00049258914,0.0000689351,0.00011960749,0.000033139375,0.00024799234,0.0002679706,0.000047106678],"category_scores_gemma":[0.000024449715,0.00030125643,0.000086726635,0.00014899473,0.00013788436,0.000061729865,0.00006591764,0.00028108497,7.3091536e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037990898,0.00019138635,0.000057975154,0.005505235,0.000091036774,8.950921e-7,0.00023977924,0.0009040787,0.9829918,0.00015723678,0.00792875,0.0015519054],"study_design_scores_gemma":[0.00042056298,0.0003299039,0.000047492624,0.0010151383,0.00012595997,0.0000017330703,0.0007116198,0.0030992432,0.9915641,0.00020817692,0.0021099288,0.00036613923],"about_ca_topic_score_codex":0.00021286655,"about_ca_topic_score_gemma":0.00013032756,"teacher_disagreement_score":0.5375294,"about_ca_system_score_codex":0.000044951932,"about_ca_system_score_gemma":0.00014945665,"threshold_uncertainty_score":0.999944},"labels":[],"label_agreement":null},{"id":"W4252140292","doi":"10.1146/annurev.genom.4.070802.110305","title":"PROTEOMICS","year":2004,"lang":"en","type":"review","venue":"Annual Review of Genomics and Human Genetics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Danmarks Grundforskningsfond; Canadian Institutes of Health Research; National Research Foundation","keywords":"Proteomics; Computational biology; Genomics; Systems biology; Biology; Functional genomics; Data science; Protein expression; Computer science; Genome; Genetics; Gene","score_opus":0.025530049817141534,"score_gpt":0.34826056659046817,"score_spread":0.32273051677332665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252140292","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011109449,0.9958399,0.00036028752,0.000013178601,0.000013509948,0.0010130013,0.00071966095,0.000036343303,0.001993002],"genre_scores_gemma":[0.0000013167407,0.97143173,0.0273069,0.000052681346,0.0001308579,0.00033277643,0.00032030427,0.000099033015,0.00032437552],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980205,0.000015145029,0.0011133852,0.0004686183,0.00013215866,0.0002501737],"domain_scores_gemma":[0.99803,0.000028010167,0.0009215198,0.00077421044,0.0001303041,0.00011595702],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016634684,0.00045645182,0.0016738524,0.000058892154,0.00012235147,0.000020568828,0.00051314017,0.0003053659,0.000096061674],"category_scores_gemma":[0.000015405838,0.0004163815,0.00041564504,0.00010138265,0.0001636903,0.000024185027,0.00030056544,0.00039756118,0.000010065849],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.4977204e-7,0.000048051013,4.7090646e-7,0.4167552,0.000070474154,0.0000015381992,0.000027443031,3.7721648e-7,0.00005562849,0.008391442,0.00013823573,0.5745106],"study_design_scores_gemma":[0.000060372546,0.000030474248,6.969036e-8,0.09475744,0.00051895925,0.000025356616,0.0000054048883,2.4234106e-7,0.00014702498,0.002639948,0.9014485,0.00036624158],"about_ca_topic_score_codex":0.0000060448815,"about_ca_topic_score_gemma":0.0000010516609,"teacher_disagreement_score":0.9013102,"about_ca_system_score_codex":0.00012743681,"about_ca_system_score_gemma":0.00028192915,"threshold_uncertainty_score":0.9998288},"labels":[],"label_agreement":null},{"id":"W4252772384","doi":"10.1007/978-1-60327-310-7","title":"Membrane Proteomics","year":2009,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Proteomics; Chemistry; Biochemistry","score_opus":0.019472357430024248,"score_gpt":0.39086217867642176,"score_spread":0.3713898212463975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252772384","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009852164,0.0003707396,0.6525829,0.0000762516,0.000016724072,0.0003000726,0.000022829923,0.000110360255,0.3465103],"genre_scores_gemma":[0.0000010006281,0.00027967567,0.84616995,0.0002980457,0.00009106805,0.00036228323,0.00025170733,0.000066786604,0.15247948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982912,0.00012065343,0.0004927546,0.0006753131,0.000063128,0.00035697877],"domain_scores_gemma":[0.9986263,0.000118129,0.00027614238,0.00087197026,0.000045539495,0.000061914616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000448974,0.0003763644,0.0006025333,0.00013986249,0.000036992173,0.000010569864,0.0005691726,0.0012656233,0.0002453638],"category_scores_gemma":[0.00013398229,0.00039569,0.00018249665,0.00008627448,0.00013593142,0.000011888892,0.00015589612,0.0010544028,0.000012858742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010820599,0.000026647707,0.0000021858434,0.00006440553,0.00002000593,0.000018816852,0.000008261953,0.000013842594,0.9024256,0.06569504,0.00024759927,0.031466767],"study_design_scores_gemma":[0.00010676462,0.000017372276,7.369702e-8,0.000048059643,0.000014025718,0.000010914281,8.2836186e-7,0.00003333292,0.4856893,0.3219971,0.19183032,0.00025188626],"about_ca_topic_score_codex":0.0000046420805,"about_ca_topic_score_gemma":0.0000020101486,"teacher_disagreement_score":0.41673627,"about_ca_system_score_codex":0.00023162094,"about_ca_system_score_gemma":0.00016280315,"threshold_uncertainty_score":0.9998495},"labels":[],"label_agreement":null},{"id":"W4253191610","doi":"10.1515/iupac.85.0736","title":"Shotgun Proteomics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Organic chemistry","score_opus":0.012995710851081302,"score_gpt":0.3959863647262577,"score_spread":0.3829906538751764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253191610","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031998974,0.00017973685,0.0043648477,0.00039101997,0.000063160915,0.0004147884,0.99386877,0.0002835418,0.00040212634],"genre_scores_gemma":[0.0000025718589,0.0011113808,0.0063651553,0.00014125378,0.0009783324,0.0004723788,0.98968893,0.000080349564,0.0011596321],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977766,0.000011045957,0.0005140868,0.00065190584,0.00059383136,0.00045252455],"domain_scores_gemma":[0.9975287,0.000057745532,0.00040304143,0.0014985123,0.0003400853,0.0001719238],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015471964,0.0004950277,0.0005208022,0.00008697596,0.00015044808,0.000054408923,0.0007887073,0.00065894914,0.016817477],"category_scores_gemma":[0.00023735415,0.00040584194,0.00019626443,0.00011222101,0.00011833686,0.00007294358,0.00029488932,0.0007642314,0.000006541109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053429732,0.00012292564,0.0000011188963,0.00021451419,0.000039382547,0.000012373446,0.0000016458948,6.9874096e-7,0.0019764549,0.000048389527,0.99511266,0.0024164154],"study_design_scores_gemma":[0.0003713853,0.00002928624,1.4776825e-7,0.00052703236,0.00005265741,0.000015981126,0.0000043098653,0.0000040463533,0.012909002,0.0026279513,0.9829276,0.00053056184],"about_ca_topic_score_codex":0.000028854894,"about_ca_topic_score_gemma":0.0000592424,"teacher_disagreement_score":0.016810935,"about_ca_system_score_codex":0.00052714994,"about_ca_system_score_gemma":0.0005285396,"threshold_uncertainty_score":0.99983937},"labels":[],"label_agreement":null},{"id":"W4254007097","doi":"10.12688/f1000research.24654.1","title":"Investigating a novel multiplex proteomics technology for detection of changes in serum protein concentrations that may correlate to tumor burden","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Multiplex; Pancreatic cancer; Proteomics; Cancer; Biology; Protein microarray; Omics; Physiology; Microarray; Medicine; Pathology; Bioinformatics; Internal medicine; Genetics; Gene","score_opus":0.07861144505426074,"score_gpt":0.35404281976479296,"score_spread":0.27543137471053225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254007097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7053551,0.0000662761,0.26909217,0.011921766,0.00003589847,0.01144586,0.0014504213,0.00043917456,0.0001933148],"genre_scores_gemma":[0.7649335,0.000017881144,0.21298994,0.000032617016,0.00011753439,0.021456128,0.00010538745,0.0000813075,0.00026569128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977884,0.000024940537,0.00050508237,0.00082013785,0.0003236415,0.0005377926],"domain_scores_gemma":[0.9983298,0.00011800983,0.0003643284,0.000696584,0.00032231607,0.00016891424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033277686,0.00030396983,0.0004525631,0.0003493514,0.00014618278,0.000054390417,0.00082044804,0.0005192706,0.00003094617],"category_scores_gemma":[0.00094868714,0.00034700191,0.000087536275,0.0005712411,0.00021927172,0.00004841523,0.0011817032,0.0015152177,0.0000056062204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005712478,0.000052629795,0.0009316301,0.0010171044,0.000021517451,0.0000014285521,0.00026877763,0.0010420126,0.99198043,0.0014575386,0.000014326415,0.0031554953],"study_design_scores_gemma":[0.00050611846,0.00008221646,0.00006724723,0.0007503744,0.000010336549,0.0000032546761,0.00035322708,0.031772997,0.95128775,0.01341603,0.0014536506,0.00029681824],"about_ca_topic_score_codex":0.00033522298,"about_ca_topic_score_gemma":0.00033536434,"teacher_disagreement_score":0.0595784,"about_ca_system_score_codex":0.0003198428,"about_ca_system_score_gemma":0.00034890708,"threshold_uncertainty_score":0.9998982},"labels":[],"label_agreement":null},{"id":"W4255323621","doi":"10.1016/j.ab.2020.113680","title":"Re-evaluation of the 18 non-human protein standards used to create the empirical statistical model for decoy library searching","year":2020,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Science and Engineering Research Council","keywords":"False discovery rate; Decoy; A priori and a posteriori; Statistics; Computer science; Computational biology; Mathematics; Chemistry; Biology; Biochemistry","score_opus":0.1392256373579846,"score_gpt":0.4325507733372596,"score_spread":0.293325135979275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255323621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66020787,0.0000149331745,0.31763032,0.013695382,0.0000032894982,0.00097429904,0.0013007235,0.000088702385,0.006084474],"genre_scores_gemma":[0.9805567,0.0000010338554,0.017940458,0.0004610918,0.00010187974,0.0003956119,0.00008650202,0.000031712112,0.00042499427],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983314,0.00002488543,0.00036440344,0.00039509832,0.00063240196,0.00025175692],"domain_scores_gemma":[0.9988112,0.00015461884,0.00010006622,0.00054216257,0.00019155901,0.00020038935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038309846,0.00016338115,0.00020702202,0.000010088111,0.0002133364,0.00005223138,0.0005385169,0.00013026822,0.00036885057],"category_scores_gemma":[0.00073345844,0.00010948979,0.00013964564,0.00019978637,0.0001793218,0.000046467154,0.0002579597,0.00032578324,0.0000019621566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019103615,0.00013486466,0.00054101116,0.00036839402,0.000078434365,7.56068e-7,0.00041905732,0.0021270087,0.9717614,0.0035411168,0.01951784,0.001319061],"study_design_scores_gemma":[0.00024449552,0.000018965891,0.000013277362,0.00004304941,0.00007217405,2.9770607e-7,0.00008411621,0.3505435,0.6399383,0.008434943,0.0004951668,0.000111684836],"about_ca_topic_score_codex":0.000003368018,"about_ca_topic_score_gemma":0.0000011874449,"teacher_disagreement_score":0.3484165,"about_ca_system_score_codex":0.00008749745,"about_ca_system_score_gemma":0.0003782415,"threshold_uncertainty_score":0.4464864},"labels":[],"label_agreement":null},{"id":"W4255630286","doi":"10.1016/s0140-6736(02)09390-x","title":"Proteomic patterns in serum and identification of ovarian cancer","year":2002,"lang":"en","type":"letter","venue":"The Lancet","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Ovarian cancer; Cancer; Carcinoembryonic antigen; Biomarker; Proteomics; Disease; Prostate cancer; Biology; Internal medicine; Medicine; Oncology; Bioinformatics; Endocrinology; Biochemistry; Gene","score_opus":0.02654668616965536,"score_gpt":0.286146664359833,"score_spread":0.25959997819017766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255630286","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2069664,0.00044041206,0.0019388914,0.784757,0.000059922335,0.0011004044,0.0024889226,0.00015874924,0.0020893032],"genre_scores_gemma":[0.8231002,0.008221969,0.0056611677,0.13149032,0.010525245,0.0064873695,0.0006474781,0.00025736482,0.013608897],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999156,0.000016222019,0.00029225298,0.00024089398,0.00010327259,0.00019137749],"domain_scores_gemma":[0.9989577,0.000024952305,0.00029571707,0.0006875962,0.00002360859,0.000010409572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009871727,0.00014192676,0.00030376273,0.00003205627,0.000037866026,0.00002246143,0.00039979,0.0002669151,0.0002397542],"category_scores_gemma":[0.000008679042,0.00011302703,0.0000323576,0.00006662066,0.00005711937,0.00003218598,0.00006724819,0.00082645664,0.0000038817616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006179541,0.00008815954,0.0713935,0.004739531,0.00014235299,0.00002895217,0.0008876761,0.00006190516,0.17330934,0.001097773,0.7295619,0.018627066],"study_design_scores_gemma":[0.0016106653,0.000017123992,0.020332996,0.0014272234,0.00012855546,0.000028492692,0.00003418397,0.001151443,0.32734036,0.026603682,0.6202971,0.0010282032],"about_ca_topic_score_codex":0.00020387131,"about_ca_topic_score_gemma":0.000017506489,"teacher_disagreement_score":0.65326667,"about_ca_system_score_codex":0.000049836486,"about_ca_system_score_gemma":0.000012624961,"threshold_uncertainty_score":0.46091086},"labels":[],"label_agreement":null},{"id":"W4255653283","doi":"10.1007/978-3-0348-8458-7_13","title":"Phosphopeptide analysis","year":2000,"lang":"en","type":"review","venue":"Birkhäuser Basel eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phosphopeptide; Edman degradation; Chromatography; Chemistry; Mass spectrometry; High-performance liquid chromatography; Peptide; Peptide sequence; Biochemistry","score_opus":0.034684991017535007,"score_gpt":0.32801112498731566,"score_spread":0.29332613396978063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255653283","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000014805067,0.8810058,0.001978789,0.0000038052724,0.000012086553,0.00038832644,0.0005837034,0.0005510524,0.11547491],"genre_scores_gemma":[0.0000021735325,0.9468374,0.009743641,0.000057531906,0.00016083375,0.001496361,0.00064565113,0.00014951521,0.04090687],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976305,0.000027003432,0.0008940201,0.00080997,0.00021420453,0.0004243043],"domain_scores_gemma":[0.9976257,0.000111713365,0.00045927495,0.0015863901,0.000039793835,0.00017710694],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012185692,0.00062789983,0.0018010513,0.00028113683,0.00016056569,0.00007159064,0.0007478069,0.00053205073,0.004230335],"category_scores_gemma":[0.000011389211,0.00055808586,0.0016181102,0.00037960216,0.000084390405,0.000031914333,0.00012527975,0.00062210474,0.00036226993],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027972533,0.000030054458,0.0000010409901,0.0023450754,0.0006768681,0.000010281152,0.000009580137,0.0000025372499,0.000004323404,0.00057878415,0.0007525049,0.99558616],"study_design_scores_gemma":[0.00006126472,0.000003750186,3.440624e-8,0.0015470025,0.0043895454,0.000009430702,0.000002307411,0.00001374673,0.0003844179,0.0004817469,0.99250275,0.0006040176],"about_ca_topic_score_codex":0.000059144924,"about_ca_topic_score_gemma":0.000013421252,"teacher_disagreement_score":0.9949821,"about_ca_system_score_codex":0.00015003944,"about_ca_system_score_gemma":0.00019616014,"threshold_uncertainty_score":0.9996871},"labels":[],"label_agreement":null},{"id":"W4255865397","doi":"10.1385/0-89603-268-x:207","title":"Protein Blotting","year":2003,"lang":"en","type":"review","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Blot; Isoelectric focusing; Southern blot; Polyacrylamide gel electrophoresis; Chemistry; Molecular biology; Gel electrophoresis; Biochemistry; Biology; DNA; Gene","score_opus":0.11797188278248687,"score_gpt":0.3646300801038387,"score_spread":0.2466581973213518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255865397","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.0328937e-7,0.71639526,0.00059911073,3.5635856e-7,0.0000095520745,0.00068049796,0.000033892135,0.0002730668,0.28200808],"genre_scores_gemma":[3.6997193e-7,0.93386185,0.01106198,0.0000090833555,0.00016791232,0.004303852,0.000053255775,0.00012862503,0.0504131],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984648,0.000025502619,0.0005297131,0.00051890046,0.0001390114,0.00032204017],"domain_scores_gemma":[0.99848175,0.00002950633,0.00045748244,0.0009189244,0.00003425769,0.00007808693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000085017404,0.00041847635,0.0008171899,0.000042585023,0.00017974037,0.00006425099,0.0005174156,0.0003733341,0.0001385078],"category_scores_gemma":[0.000012127777,0.0003890491,0.00032558193,0.000015994281,0.00006548702,0.000022063045,0.00015027751,0.00063404476,0.000020683421],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.8399622e-7,0.000012526916,2.1087128e-9,0.010585092,0.000038346898,0.0000041566877,0.000009259385,7.3555384e-8,0.000022906024,0.044439267,0.0001797036,0.9447083],"study_design_scores_gemma":[0.00004894222,0.0000033802708,2.5310187e-10,0.005837825,0.00017323115,0.000012210918,0.0000012249594,0.0000012271279,0.0015981676,0.0016072949,0.9903198,0.00039670774],"about_ca_topic_score_codex":0.000016898905,"about_ca_topic_score_gemma":0.000001095644,"teacher_disagreement_score":0.9901401,"about_ca_system_score_codex":0.00008289172,"about_ca_system_score_gemma":0.000063742315,"threshold_uncertainty_score":0.9998561},"labels":[],"label_agreement":null},{"id":"W4281256844","doi":"10.1002/imt2.25","title":"iMetaLab Suite: A one‐stop toolset for metaproteomics","year":2022,"lang":"en","type":"article","venue":"iMeta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Government of Canada; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute; University of Ottawa","keywords":"Suite; Metaproteomics; Computer science; Geography; Chemistry","score_opus":0.028244248734210473,"score_gpt":0.2873602402632292,"score_spread":0.2591159915290187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281256844","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35531223,0.001838741,0.5929781,0.0040245,0.00024215296,0.004213445,0.0055325376,0.0017912659,0.034066994],"genre_scores_gemma":[0.33348665,0.00004379798,0.6347017,0.00057477684,0.0001770193,0.010245834,0.0006694698,0.000120917946,0.019979779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989354,0.000011616941,0.00025812944,0.00035296578,0.00016983759,0.00027205877],"domain_scores_gemma":[0.9990659,0.000078462006,0.00014411838,0.00059923634,0.00004922389,0.00006306833],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002112651,0.00014753286,0.00022300857,0.000044631935,0.0003706451,0.000033341737,0.00043831754,0.00005212458,0.0016197418],"category_scores_gemma":[0.000049344526,0.00016733306,0.00017580682,0.00017394635,0.000035625453,0.000099958655,0.00026075786,0.00025799868,0.000016492406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000943401,0.00025534845,0.00006372914,0.000070543305,0.00013678141,0.000001869721,0.00008112125,0.00018401963,0.93393445,0.049730558,0.0035940176,0.011853228],"study_design_scores_gemma":[0.00038358336,0.00003544701,0.0000046897685,0.000002680429,0.000078755445,0.000011462173,0.000057365047,0.0007231971,0.5390921,0.03833239,0.42103887,0.00023946026],"about_ca_topic_score_codex":0.000017244918,"about_ca_topic_score_gemma":0.0000011977934,"teacher_disagreement_score":0.41744485,"about_ca_system_score_codex":0.000106434454,"about_ca_system_score_gemma":0.00004911446,"threshold_uncertainty_score":0.9992929},"labels":[],"label_agreement":null},{"id":"W4281643587","doi":"10.1101/2022.06.03.494776","title":"Proteomic Dynamics of Breast Cancers Identifies Potential Therapeutic Protein Targets","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Proteome; Proteomics; PI3K/AKT/mTOR pathway; Triple-negative breast cancer; Protein kinase B; Stable isotope labeling by amino acids in cell culture; Cancer research; Biology; Computational biology; Breast cancer; Signal transduction; Bioinformatics; Cancer; Cell biology; Genetics","score_opus":0.007892033004404888,"score_gpt":0.22987720264676723,"score_spread":0.22198516964236234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281643587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95831543,0.0009185644,0.03245655,0.00034052256,0.00031708303,0.0024633508,0.004264926,0.00086565304,0.000057911064],"genre_scores_gemma":[0.97635466,0.00019306761,0.018447667,0.000028037784,0.00020933917,0.0044981814,0.0000064585643,0.00020710571,0.000055486355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971157,0.000053776486,0.0007532658,0.0010505776,0.00048910157,0.0005376351],"domain_scores_gemma":[0.9967127,0.000014723374,0.0010121784,0.0017486964,0.00035649264,0.00015524388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028667744,0.00059495325,0.00062874466,0.00017625286,0.00028814017,0.00010840819,0.0011493897,0.0004817471,0.00074635964],"category_scores_gemma":[0.000026624812,0.0007041225,0.0002776945,0.00032675947,0.00022850219,0.00012254342,0.0009928538,0.0013118387,0.000007775089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058951766,0.00012382714,0.0005049292,0.0009265289,0.00017069309,0.000012648759,0.0000056565086,0.0006775484,0.9950506,0.0024317647,0.000030329118,0.000006526079],"study_design_scores_gemma":[0.00033115555,0.000021588556,0.0013179558,0.00032853356,0.00012961334,7.458301e-8,0.0000092464425,0.0024443138,0.99362975,0.00023420567,0.00069679436,0.00085677864],"about_ca_topic_score_codex":0.0002969866,"about_ca_topic_score_gemma":0.000004837687,"teacher_disagreement_score":0.018039217,"about_ca_system_score_codex":0.001286896,"about_ca_system_score_gemma":0.0008761657,"threshold_uncertainty_score":0.999541},"labels":[],"label_agreement":null},{"id":"W4281893146","doi":"10.1038/s41467-022-30867-7","title":"A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bioinformatics Solutions (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Oxford","keywords":"Tera-; Mass spectrometry; Computer science; Scale (ratio); Chemistry; Physics; Chromatography; Operating system","score_opus":0.022098167557294757,"score_gpt":0.3046668418948976,"score_spread":0.28256867433760285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281893146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.503596,0.033257514,0.3630942,0.022717051,0.00027429705,0.0050906963,0.044734195,0.0022065344,0.025029488],"genre_scores_gemma":[0.644048,0.0009638718,0.35005453,0.00011646272,0.000043186785,0.00038865767,0.0041370587,0.000029957964,0.00021830507],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897623,0.000022501814,0.00028210698,0.00037641556,0.000117385884,0.00022533933],"domain_scores_gemma":[0.995888,0.000513447,0.00020134482,0.0032420824,0.00009579617,0.000059363105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024377002,0.00016833507,0.00021176793,0.00009443294,0.0011062572,0.00006385237,0.0016710485,0.00015257405,0.000020358397],"category_scores_gemma":[0.000088068955,0.00018604247,0.00005998338,0.00031151195,0.00011371193,0.00019273252,0.0019148033,0.0011564881,8.696501e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116473275,0.00028938474,0.0010184639,0.000055906978,0.00019356138,0.0000013224969,0.00034278724,0.000054053406,0.9446102,0.04371108,0.003133628,0.0064731613],"study_design_scores_gemma":[0.0024538608,0.00012014935,0.0003234648,0.00009750482,0.00041408447,0.00009036748,0.0037179615,0.02849687,0.3723622,0.043090764,0.5474085,0.0014242515],"about_ca_topic_score_codex":0.00002888187,"about_ca_topic_score_gemma":0.00010224181,"teacher_disagreement_score":0.572248,"about_ca_system_score_codex":0.00016939477,"about_ca_system_score_gemma":0.00006230232,"threshold_uncertainty_score":0.8508548},"labels":[],"label_agreement":null},{"id":"W4283208530","doi":"10.5281/zenodo.6671159","title":"Signal alignment enables quantitative analysis of targeted proteomics data from multiple LC-MS/MS instruments","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Mass spectrometry; Computational biology; Computer science; Chromatography; Chemistry; Biology","score_opus":0.05691043425662253,"score_gpt":0.2864740416486464,"score_spread":0.2295636073920239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283208530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7892625,0.00011358154,0.15179145,0.00035117383,0.00003055244,0.0011926747,0.037700098,0.00092965364,0.01862831],"genre_scores_gemma":[0.928222,0.000054812685,0.031645868,0.00003791674,0.000028622653,0.0000013868754,0.03923547,0.00052130315,0.0002526283],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834025,0.00012641468,0.00035660237,0.0005307548,0.0004093489,0.00023660458],"domain_scores_gemma":[0.99844307,0.00004047035,0.0002859995,0.0009379882,0.00020149858,0.00009099803],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000343894,0.00013498632,0.00021679714,0.00018917922,0.0013997767,0.00012693241,0.0016693369,0.000040933766,0.032974035],"category_scores_gemma":[0.00017906462,0.00015572281,0.000064089676,0.0008234619,0.00010782792,0.00017827978,0.0032686724,0.0002624016,0.00013209981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029315127,0.0006964268,0.00024112102,0.00005656772,0.0011014036,0.0000049687987,0.0012109644,0.004071579,0.9597774,0.0033260458,0.0162903,0.01293004],"study_design_scores_gemma":[0.0009950742,0.00019932247,0.000291366,0.000023486115,0.0003236242,0.0000060807215,0.0017160535,0.104439326,0.19932148,0.0014846385,0.6907653,0.00043422895],"about_ca_topic_score_codex":0.00019328546,"about_ca_topic_score_gemma":0.0000017006113,"teacher_disagreement_score":0.76045597,"about_ca_system_score_codex":0.00020506744,"about_ca_system_score_gemma":0.0000068764252,"threshold_uncertainty_score":0.9999003},"labels":[],"label_agreement":null},{"id":"W4283263896","doi":"10.5281/zenodo.6677715","title":"Signal alignment enables quantitative analysis of targeted proteomics data from multiple LC-MS/MS instruments","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Computer science; Computational biology; Chromatography; Chemistry; Biology; Biochemistry","score_opus":0.05691043425662253,"score_gpt":0.2864740416486464,"score_spread":0.2295636073920239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283263896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7892625,0.00011358154,0.15179145,0.00035117383,0.00003055244,0.0011926747,0.037700098,0.00092965364,0.01862831],"genre_scores_gemma":[0.928222,0.000054812685,0.031645868,0.00003791674,0.000028622653,0.0000013868754,0.03923547,0.00052130315,0.0002526283],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834025,0.00012641468,0.00035660237,0.0005307548,0.0004093489,0.00023660458],"domain_scores_gemma":[0.99844307,0.00004047035,0.0002859995,0.0009379882,0.00020149858,0.00009099803],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000343894,0.00013498632,0.00021679714,0.00018917922,0.0013997767,0.00012693241,0.0016693369,0.000040933766,0.032974035],"category_scores_gemma":[0.00017906462,0.00015572281,0.000064089676,0.0008234619,0.00010782792,0.00017827978,0.0032686724,0.0002624016,0.00013209981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029315127,0.0006964268,0.00024112102,0.00005656772,0.0011014036,0.0000049687987,0.0012109644,0.004071579,0.9597774,0.0033260458,0.0162903,0.01293004],"study_design_scores_gemma":[0.0009950742,0.00019932247,0.000291366,0.000023486115,0.0003236242,0.0000060807215,0.0017160535,0.104439326,0.19932148,0.0014846385,0.6907653,0.00043422895],"about_ca_topic_score_codex":0.00019328546,"about_ca_topic_score_gemma":0.0000017006113,"teacher_disagreement_score":0.76045597,"about_ca_system_score_codex":0.00020506744,"about_ca_system_score_gemma":0.0000068764252,"threshold_uncertainty_score":0.9999003},"labels":[],"label_agreement":null},{"id":"W4283327523","doi":"10.1038/s41592-022-01546-8","title":"The adult mouse proteome","year":2022,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Michael Smith Health Research BC; University of British Columbia","funders":"","keywords":"Proteome; Biology; Model organism; Organism; Computational biology; Gene; Proteomics; Cell biology; Genetics","score_opus":0.013361744974386473,"score_gpt":0.3660551834239811,"score_spread":0.3526934384495946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283327523","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001913897,0.0023155103,0.06969119,0.8871992,0.00035722376,0.0010701645,0.00046795956,0.0008675347,0.038012054],"genre_scores_gemma":[0.000001822987,0.00030645417,0.6577178,0.27030158,0.002366641,0.0038099647,0.00040560635,0.00013038865,0.06495972],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812704,0.00017854384,0.00032027758,0.00057555723,0.00037569986,0.00042287112],"domain_scores_gemma":[0.9972838,0.00067819335,0.0003326311,0.001530409,0.00013651693,0.000038412538],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005139702,0.00035161537,0.0003035711,0.000044254826,0.0006428416,0.00007994365,0.0012968838,0.0020297123,0.00096269086],"category_scores_gemma":[0.00041315722,0.0002547415,0.00024401276,0.0002041678,0.000100373785,0.000032040058,0.00035747184,0.014630991,0.000008863491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012812468,0.000009215591,7.957978e-7,0.00010399258,0.00004169364,0.000015139347,0.0000136826775,0.0000012019891,0.018996455,0.0020068008,0.9634855,0.015312719],"study_design_scores_gemma":[0.000057910405,0.0000082447605,6.469992e-8,0.000011359248,0.000024370558,0.000015188748,0.0000083503755,0.00001762141,0.16071495,0.019203583,0.81967753,0.00026084337],"about_ca_topic_score_codex":0.000008669829,"about_ca_topic_score_gemma":7.9995834e-7,"teacher_disagreement_score":0.61689764,"about_ca_system_score_codex":0.0001992951,"about_ca_system_score_gemma":0.00007148131,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W4285007449","doi":"10.1101/2022.07.10.498897","title":"Signal Alignment Enables Analysis of DIA Proteomics Data from Multisite Experiments","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bottleneck; Computer science; Instrumentation (computer programming); Quantitative proteomics; Identification (biology); Matrix (chemical analysis); Proteomics; Chromatography; Raw data; Chemistry; Embedded system; Biology","score_opus":0.03126648113874147,"score_gpt":0.2803837078577971,"score_spread":0.24911722671905562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285007449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208984,0.0008573685,0.057526726,0.000041321327,0.00009379533,0.0009233333,0.01923277,0.00038953018,0.00003679472],"genre_scores_gemma":[0.8114184,0.0003627077,0.18627845,0.000038070808,0.00013851943,0.001545779,0.0000951986,0.00011312911,0.000009729422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99656653,0.000055269902,0.00085086585,0.0015743282,0.0005380961,0.00041492758],"domain_scores_gemma":[0.9941205,0.000084807114,0.0010228637,0.0044061444,0.00017767937,0.00018802664],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031010422,0.00054322236,0.0008714978,0.0002584442,0.000189153,0.00009960718,0.0021814804,0.0003917082,0.0019260354],"category_scores_gemma":[0.000052373318,0.0006463314,0.00024695788,0.0006225897,0.000108677494,0.00013919157,0.0037843224,0.0007228297,0.00000830905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031802523,0.00029822713,0.0071913125,0.00012218622,0.0015319814,0.0000094103125,0.000012548878,0.0007621286,0.98974216,0.00017697118,0.00011918199,0.0000020834852],"study_design_scores_gemma":[0.00026178895,0.000009749609,0.0016985759,0.00010698232,0.0010711569,1.2658801e-9,0.000010792478,0.0067763585,0.98621,0.000013490529,0.003198083,0.00064304896],"about_ca_topic_score_codex":0.0005041204,"about_ca_topic_score_gemma":0.0000045214815,"teacher_disagreement_score":0.12875172,"about_ca_system_score_codex":0.0004192171,"about_ca_system_score_gemma":0.00023208695,"threshold_uncertainty_score":0.9995988},"labels":[],"label_agreement":null},{"id":"W4285128366","doi":"10.1007/978-1-0716-2124-0_5","title":"Protein Purification and Digestion Methods for Bacterial Proteomic Analyses","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Proteome; Computational biology; Extraction (chemistry); Chromatography; Chemistry; Biology; Biochemistry","score_opus":0.04815471487363363,"score_gpt":0.4699312883174653,"score_spread":0.4217765734438316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285128366","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08033254,0.00016989392,0.91809386,0.0002482607,0.00002464905,0.00089464436,0.000033666493,0.00006227415,0.00014022819],"genre_scores_gemma":[0.0070561855,0.000012709139,0.9828798,0.000037270307,0.000028721674,0.009733503,0.0001464135,0.000023746636,0.00008163966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984937,0.0005730213,0.0002888302,0.000421586,0.00003141078,0.00019148509],"domain_scores_gemma":[0.9993239,0.00013953878,0.00016361344,0.00031154638,0.000030529784,0.000030893378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169511,0.00012822943,0.00021645385,0.000095794916,0.00014738452,0.000012645875,0.00018798327,0.00009906236,0.00008249476],"category_scores_gemma":[0.00033767926,0.00013507663,0.000059221824,0.00016217014,0.00007163943,0.000022378663,0.00015308506,0.00022367369,1.7378619e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005674421,0.000032233052,0.000036581696,0.000022869925,0.000010173698,3.6023755e-7,0.000018687513,0.000034686902,0.91693616,0.013099804,0.0000012539626,0.06975044],"study_design_scores_gemma":[0.00024960854,0.000056870744,0.000011619934,0.0000041588905,0.000013131788,0.00000721391,0.000018418974,0.0012857814,0.8675752,0.11985783,0.010787922,0.0001322206],"about_ca_topic_score_codex":0.00002198935,"about_ca_topic_score_gemma":4.6380683e-7,"teacher_disagreement_score":0.10675803,"about_ca_system_score_codex":0.00008467143,"about_ca_system_score_gemma":0.00003138295,"threshold_uncertainty_score":0.5508265},"labels":[],"label_agreement":null},{"id":"W4285152522","doi":"10.1007/978-1-0716-2409-8_13","title":"Immuno-MALDI-MS for Accurate Quantitation of Targeted Peptides from Volume-Restricted Samples","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Jewish General Hospital; McGill University","funders":"","keywords":"Chromatography; Workflow; Automation; Chemistry; Protocol (science); Computer science; Volume (thermodynamics); Engineering; Database; Medicine; Physics","score_opus":0.03682938057925389,"score_gpt":0.4041495366654423,"score_spread":0.3673201560861884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285152522","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16648202,0.00047059555,0.83207846,0.00008421244,0.000031279716,0.00024005104,0.00047050163,0.000048389484,0.00009451815],"genre_scores_gemma":[0.08524631,0.000034633817,0.91273063,0.00004707681,0.000012848934,0.0010280593,0.0008344286,0.00002227476,0.000043727854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988467,0.00023338005,0.00038293973,0.00030652163,0.00004713854,0.00018331844],"domain_scores_gemma":[0.9989142,0.00040892194,0.00025155966,0.00034454183,0.00006110337,0.000019702371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119281,0.00011830316,0.0002501344,0.0000842714,0.0000893237,0.000005078193,0.00030780243,0.000107082575,0.00021959294],"category_scores_gemma":[0.00045352834,0.00013144324,0.00009437315,0.00023250518,0.000072031005,0.000019120233,0.00015316224,0.00019659585,4.5466217e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059175774,0.000045133358,0.000848804,0.0000134711145,0.00002492012,6.709686e-7,0.000046508037,0.00058491924,0.9823069,0.009624629,0.000021473365,0.00642337],"study_design_scores_gemma":[0.00030882927,0.00006709303,0.00020173557,0.000005311487,0.00001511922,0.0000010178009,0.00011361143,0.0028731131,0.8795546,0.10657075,0.010150857,0.00013794105],"about_ca_topic_score_codex":0.0004033562,"about_ca_topic_score_gemma":0.0000059418285,"teacher_disagreement_score":0.102752306,"about_ca_system_score_codex":0.000054082906,"about_ca_system_score_gemma":0.00003621209,"threshold_uncertainty_score":0.53600997},"labels":[],"label_agreement":null},{"id":"W4285166601","doi":"10.1007/978-1-0716-2124-0_4","title":"Rodent Lung Tissue Sample Preparation and Processing for Shotgun Proteomics","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Shotgun; Shotgun proteomics; Sample (material); Proteomics; Computer science; Computational biology; Biology; Chromatography; Chemistry; Biochemistry","score_opus":0.022928015666057396,"score_gpt":0.4354249692660452,"score_spread":0.4124969535999878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285166601","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024838457,0.0004172121,0.97370154,0.00015023447,0.000013280665,0.0006177026,0.00004749565,0.000050168233,0.00016390212],"genre_scores_gemma":[0.018346095,0.000012771029,0.97724956,0.000091799295,0.000018301671,0.004106721,0.00009831321,0.000019012614,0.00005744709],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991933,0.000092138594,0.00019930546,0.00031989958,0.000032765896,0.00016255307],"domain_scores_gemma":[0.9995705,0.00009817966,0.00009758714,0.00018802857,0.000023280034,0.000022421405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045730206,0.00009271814,0.00014138577,0.00004267097,0.00018241254,0.000015033872,0.00013280117,0.000076462726,0.000037446083],"category_scores_gemma":[0.00013471859,0.000103180486,0.00002403111,0.00009118264,0.00005012547,0.00001865397,0.00015554398,0.00015902102,5.6999863e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030789186,0.000024108269,0.0002665148,0.000046962523,0.000003883035,4.4553602e-7,0.00010347174,0.0003089494,0.96293926,0.0063881143,0.0000047209173,0.029882759],"study_design_scores_gemma":[0.00018245801,0.000048850303,0.000002718421,0.000004631745,0.00000817209,0.0000083952955,0.000036944904,0.013915755,0.8682023,0.09830567,0.019163074,0.000120991754],"about_ca_topic_score_codex":0.000023132185,"about_ca_topic_score_gemma":0.0000030103793,"teacher_disagreement_score":0.09473695,"about_ca_system_score_codex":0.000079506885,"about_ca_system_score_gemma":0.000035685138,"threshold_uncertainty_score":0.4207578},"labels":[],"label_agreement":null},{"id":"W4285178459","doi":"10.1007/978-1-0716-2124-0_1","title":"Review of the Real and Sometimes Hidden Costs in Proteomics Experimental Workflows","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Workflow; Computer science; Proteomics; Data science; Computational biology; Biology; Database","score_opus":0.017939799445561323,"score_gpt":0.40010193271765015,"score_spread":0.3821621332720888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285178459","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55868375,0.09336128,0.3351756,0.0018563571,0.000093845694,0.002907356,0.000092270595,0.00008243561,0.0077470792],"genre_scores_gemma":[0.008010754,0.0030484013,0.98714256,0.00045168647,0.0000058251258,0.0012841561,0.000010159295,0.000013172134,0.00003329648],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904263,0.00033586434,0.00025245274,0.00021037579,0.000037697166,0.00012097226],"domain_scores_gemma":[0.9994963,0.000063809646,0.000111951675,0.00030482485,0.000008838497,0.000014291321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005572354,0.00008180458,0.00019933356,0.00003472975,0.00003804143,0.0000016292339,0.00025107374,0.000056624827,0.00008485696],"category_scores_gemma":[0.00007559215,0.000070013055,0.00004380513,0.00020084927,0.00009288055,0.0000072910675,0.0004234625,0.00025330813,8.556235e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008354753,0.000041179464,0.0010621082,0.00010204912,0.00000346172,0.0000010963265,0.000030728646,0.000003728238,0.9817627,0.0050449995,0.000007803693,0.011931754],"study_design_scores_gemma":[0.00015967803,0.000021394499,0.00002516262,0.00019111714,0.0000038409835,0.0000075017088,0.000054938235,0.0000605918,0.98487616,0.011704113,0.002810974,0.00008456172],"about_ca_topic_score_codex":0.00005485531,"about_ca_topic_score_gemma":0.0000018813378,"teacher_disagreement_score":0.6519669,"about_ca_system_score_codex":0.000096847085,"about_ca_system_score_gemma":0.00002465027,"threshold_uncertainty_score":0.28550497},"labels":[],"label_agreement":null},{"id":"W4285282738","doi":"10.1007/978-1-0716-2376-3_16","title":"Multiplexed Quantitative Proteomic Profiling of Cancer Cells and Tissues Using Isobaric Labeling-Based Tags","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Prince Edward Island","funders":"","keywords":"Isobaric process; Profiling (computer programming); Isobaric labeling; Computational biology; Multiplexing; Quantitative proteomics; Chemistry; Chromatography; Proteomics; Biology; Computer science; Biochemistry; Physics; Gene","score_opus":0.04132624734757848,"score_gpt":0.4435373014400178,"score_spread":0.4022110540924393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285282738","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3745507,0.0011774597,0.6237974,0.000035701014,0.00001598702,0.00029375567,0.000073252995,0.000025391324,0.000030355368],"genre_scores_gemma":[0.033842452,0.000039191105,0.96528614,0.00006257512,0.000005860623,0.00071452005,0.000018187062,0.000023086981,0.000008000712],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989131,0.0002451203,0.00028487397,0.00032662452,0.000048826663,0.00018145685],"domain_scores_gemma":[0.99939966,0.00012703061,0.00019960738,0.00020819833,0.000041879797,0.000023637029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043355557,0.00012388897,0.00025222555,0.00009120792,0.000085459775,0.000003846984,0.00016385397,0.00008623346,0.00005796307],"category_scores_gemma":[0.00008395868,0.00013309876,0.000039764745,0.00021006662,0.00011668232,0.000011861706,0.00016306508,0.00026800114,1.00095995e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035502886,0.000039550647,0.0016888863,0.00006194879,0.000015134417,0.0000019647466,0.00008438934,0.006647344,0.9876426,0.0016573287,2.5460764e-7,0.0021251254],"study_design_scores_gemma":[0.00029228153,0.00004232333,0.000002549801,0.000017847757,0.000016298702,9.2961005e-7,0.00008123333,0.033440772,0.9597789,0.0059488094,0.0002429313,0.00013513048],"about_ca_topic_score_codex":0.00025594328,"about_ca_topic_score_gemma":0.0000049266764,"teacher_disagreement_score":0.34148875,"about_ca_system_score_codex":0.00007746493,"about_ca_system_score_gemma":0.00006070048,"threshold_uncertainty_score":0.54276097},"labels":[],"label_agreement":null},{"id":"W4285299492","doi":"10.1007/978-1-0716-2124-0_7","title":"N-Terminomics/TAILS of Tissue and Liquid Biopsies","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Hotchkiss Brain Institute; Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Protease; Chromatography; Chemistry; Liquid chromatography–mass spectrometry; Mass spectrometry; Amine gas treating; Function (biology); Tandem mass spectrometry; Biochemistry; Biology; Cell biology; Enzyme; Organic chemistry","score_opus":0.019658259310097258,"score_gpt":0.4014734642842268,"score_spread":0.3818152049741296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285299492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32360974,0.00050001,0.6743662,0.00011457442,0.000014805471,0.00009148551,0.000031281077,0.000024233774,0.0012477025],"genre_scores_gemma":[0.079083525,0.00005438446,0.92043364,0.00007337476,0.000007544995,0.00023197502,0.000016522752,0.000011987061,0.000087019536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932903,0.00011686744,0.00019794526,0.00021089312,0.000022502256,0.00012275367],"domain_scores_gemma":[0.9995537,0.00008166225,0.000088135705,0.00024574064,0.000011516274,0.000019287478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030569764,0.00007654268,0.00017156293,0.000058612222,0.000041700823,0.000001962027,0.0001702593,0.000067025016,0.00013744416],"category_scores_gemma":[0.000052343596,0.000084057785,0.000025182902,0.00009250713,0.000112695714,0.000007522236,0.00030275717,0.0001643173,2.251178e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019070178,0.000019520818,0.00020684,0.000015240268,0.0000048575953,0.0000040438945,0.000039464638,0.000024323128,0.97453386,0.013676715,0.0000023419805,0.011453721],"study_design_scores_gemma":[0.00010290486,0.000069720256,0.000003872437,0.0000023700286,0.0000041443063,0.000022498218,0.000047570866,0.00007939344,0.9556844,0.029551603,0.014348717,0.00008277829],"about_ca_topic_score_codex":0.000022903461,"about_ca_topic_score_gemma":6.255227e-7,"teacher_disagreement_score":0.2460675,"about_ca_system_score_codex":0.000024865549,"about_ca_system_score_gemma":0.000013486795,"threshold_uncertainty_score":0.3427777},"labels":[],"label_agreement":null},{"id":"W4285302634","doi":"10.1007/978-1-0716-2124-0_22","title":"Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metaproteomics; Computer science; Normalization (sociology); Workflow; Data mining; Database normalization; Visualization; Data visualization; Proteomics; Bioinformatics; Artificial intelligence; Pattern recognition (psychology); Biology; Database","score_opus":0.031023756325639477,"score_gpt":0.4247518401209829,"score_spread":0.3937280837953434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285302634","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018289108,0.00073658663,0.97889936,0.00019676024,0.000048938015,0.0001979695,0.000027924492,0.00011673532,0.0014866351],"genre_scores_gemma":[0.014108616,0.00009820313,0.98448116,0.00015063674,0.000007976996,0.0009958559,0.000034418015,0.000024315732,0.00009885023],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988366,0.0001263847,0.00040192629,0.00028509815,0.0000672603,0.00028276522],"domain_scores_gemma":[0.9991828,0.00015484642,0.00018030766,0.00042408987,0.0000312358,0.000026707028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069458043,0.00017244653,0.00030657244,0.0001192681,0.00016762236,0.000013840222,0.00039307395,0.00008624363,0.00010154926],"category_scores_gemma":[0.00013987676,0.00017485343,0.00008513572,0.00025242614,0.00013627311,0.000044314897,0.00054215436,0.0004484197,0.0000013359669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044704075,0.000033877757,0.00004857582,0.000029208919,0.00004070481,0.0000025791255,0.00013447968,0.0012561488,0.96558905,0.02388278,0.0000038087828,0.008974302],"study_design_scores_gemma":[0.00041701648,0.00006340963,0.0000065093896,0.0000140107595,0.00003182273,0.00005556514,0.003481591,0.017607324,0.74059284,0.23015578,0.0071444637,0.0004296704],"about_ca_topic_score_codex":0.0000142173785,"about_ca_topic_score_gemma":0.000005742727,"teacher_disagreement_score":0.22499622,"about_ca_system_score_codex":0.0002155495,"about_ca_system_score_gemma":0.00006277257,"threshold_uncertainty_score":0.7130316},"labels":[],"label_agreement":null},{"id":"W4285800573","doi":"10.1101/2022.07.18.500507","title":"Proteome coverage after simultaneous proteo-metabolome liquid-liquid extraction","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Universität Innsbruck; European Commission; HORIZON EUROPE Framework Programme; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Proteome; Metabolome; Chromatography; Proteomics; Lysis; Interphase; Extraction (chemistry); Chemistry; Quantitative proteomics; Sodium dodecyl sulfate; Metabolomics; Biology; Biochemistry; Cell biology","score_opus":0.009143526768988343,"score_gpt":0.2450270800751217,"score_spread":0.23588355330613336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285800573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96794397,0.0010554484,0.0226946,0.00026320943,0.00039479023,0.0032464757,0.0021454277,0.0021196671,0.00013643349],"genre_scores_gemma":[0.95357376,0.00058789056,0.024558654,0.00019361822,0.0007300637,0.019848092,0.000006026076,0.00037409863,0.00012780284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955083,0.00009014954,0.00097105076,0.001866128,0.0006833188,0.0008810147],"domain_scores_gemma":[0.99546117,0.00011678313,0.00096194167,0.002681613,0.00042505562,0.00035342696],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004387379,0.0009814231,0.0008162626,0.00025043174,0.00044819442,0.00022790996,0.0010804291,0.00095539336,0.0024282385],"category_scores_gemma":[0.00026958017,0.0011627054,0.00035638362,0.0005026446,0.00015302005,0.00026449087,0.0013659719,0.002760065,0.000094383824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006971155,0.00032247652,0.00009574038,0.0007255275,0.00011003619,0.00018581144,0.00000927314,0.0009386189,0.9965686,0.00029375867,0.00004972717,0.0000033022266],"study_design_scores_gemma":[0.00037671282,0.00013805652,0.0001199081,0.00023412748,0.00012281409,1.4888917e-7,0.0000026914079,0.0002474541,0.8921333,0.000016276877,0.10525737,0.0013511217],"about_ca_topic_score_codex":0.00005024859,"about_ca_topic_score_gemma":0.0000011408675,"teacher_disagreement_score":0.105207644,"about_ca_system_score_codex":0.00093197916,"about_ca_system_score_gemma":0.000569493,"threshold_uncertainty_score":0.9995406},"labels":[],"label_agreement":null},{"id":"W4286855149","doi":"10.3791/51349-v","title":"Glycopeptide Capture for Cell Surface Proteomics","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Glycoproteomics; Glycosylation; Proteomics; Glycan; Proteome; Biomarker discovery; Computational biology; Glycopeptide; Glycoprotein; Chemistry; Membrane protein; Cell biology; Biology; Cell; Drug discovery; Biochemistry; Membrane; Gene","score_opus":0.020010027022029978,"score_gpt":0.3950027218326004,"score_spread":0.3749926948105704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286855149","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51397014,0.00026519952,0.48105377,0.00011209143,0.000071923045,0.00032724396,0.0000171047,0.000047193156,0.00413533],"genre_scores_gemma":[0.4444339,0.000045969595,0.5537824,0.00012575793,0.00019495796,0.000062242114,0.000008038357,0.000042518568,0.0013042068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896115,0.000014868499,0.00048296453,0.00015098653,0.00018351625,0.00020654195],"domain_scores_gemma":[0.9988206,0.000057313664,0.00059347256,0.00023055574,0.00017954184,0.000118528485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020348135,0.00015788653,0.00028269333,0.000029452376,0.000093890616,0.00003520765,0.00029925845,0.000117396994,0.00011120776],"category_scores_gemma":[0.000046325833,0.00013927768,0.00017038669,0.00005327588,0.000029748522,0.00011704568,0.00004122089,0.0001853192,0.0000051714205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019157933,0.00017971655,0.000078324934,0.000042291926,0.000018597699,7.400472e-7,0.00016591461,0.000060868184,0.9967208,0.00068021606,0.001670815,0.0001901646],"study_design_scores_gemma":[0.0017287626,0.00008153632,0.000001200674,0.000050307277,0.000018040577,0.0000129129485,0.00013419989,0.0004897775,0.946662,0.002106539,0.048564967,0.00014977723],"about_ca_topic_score_codex":0.0000050810468,"about_ca_topic_score_gemma":1.472437e-7,"teacher_disagreement_score":0.07272865,"about_ca_system_score_codex":0.0000887147,"about_ca_system_score_gemma":0.000042845768,"threshold_uncertainty_score":0.5679579},"labels":[],"label_agreement":null},{"id":"W4287977094","doi":"10.5281/zenodo.3466997","title":"DDIA: data dependent-independent acquisition proteomics - DDA and DIA in a single LC-MS/MS run","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Chromatography; Chemistry","score_opus":0.03014079576763502,"score_gpt":0.2578178295858484,"score_spread":0.22767703381821341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287977094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88800853,0.00013108035,0.020816077,0.00053498795,0.00003675163,0.0014209105,0.0009920545,0.0009805048,0.08707912],"genre_scores_gemma":[0.98879975,0.00014605746,0.005780767,0.000065040804,0.00008871686,6.2543177e-7,0.003419472,0.00073606445,0.00096350076],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984847,0.000056643574,0.00026945843,0.00061269396,0.0002589218,0.00031761636],"domain_scores_gemma":[0.9986389,0.000019706942,0.00012859047,0.000954189,0.00013980157,0.00011878857],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003752003,0.00015230653,0.00015259304,0.000113794194,0.0004991465,0.0004010643,0.0010295395,0.000114106086,0.005076065],"category_scores_gemma":[0.00012122662,0.00017272108,0.000021859641,0.00023257778,0.00007330989,0.00038877004,0.0020166116,0.0003546333,0.0011658741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101939775,0.0003067927,0.00016130152,0.0001699497,0.000024545918,0.00001290418,0.00032408495,0.000051834286,0.96234024,0.00433159,0.003593227,0.028581569],"study_design_scores_gemma":[0.002390155,0.00024736804,0.0010618573,0.00021866859,0.000032475044,0.00027932937,0.00046150564,0.0032895564,0.24677438,0.0044589485,0.73995876,0.0008269895],"about_ca_topic_score_codex":0.000034742916,"about_ca_topic_score_gemma":0.0000026164807,"teacher_disagreement_score":0.73636556,"about_ca_system_score_codex":0.00019416299,"about_ca_system_score_gemma":0.000005019527,"threshold_uncertainty_score":0.99961185},"labels":[],"label_agreement":null},{"id":"W4288010073","doi":"10.1021/acs.analchem.2c01036","title":"Comparative Assessment of Quantification Methods for Tumor Tissue Phosphoproteomics","year":2022,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Health; H2020 Marie Skłodowska-Curie Actions; Deutschen Konsortium für Translationale Krebsforschung; Universität Innsbruck; Universitair Medisch Centrum Groningen; HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Tiroler Wissenschaftsförderung; Universitätsklinikum Hamburg-Eppendorf; Rijksuniversiteit Groningen; Deutsches Krebsforschungszentrum; Stichting TSC Fonds; Deutsche Forschungsgemeinschaft; Ministère de l'Économie, de la Science et de l'Innovation - Québec; European Commission; European Respiratory Society","keywords":"Stable isotope labeling by amino acids in cell culture; Phosphoproteomics; Quantitative proteomics; Robustness (evolution); Computational biology; Tandem mass spectrometry; Proteome; Proteomics; Chemistry; Label-free quantification; Isobaric labeling; Computer science; Biology; Mass spectrometry; Protein phosphorylation; Biochemistry; Phosphorylation; Chromatography","score_opus":0.04900547108992886,"score_gpt":0.44329098072067197,"score_spread":0.3942855096307431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288010073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09144292,0.000082124876,0.8895537,0.00027059315,0.000014738993,0.0003900755,0.00030568623,0.000104311206,0.017835833],"genre_scores_gemma":[0.58480656,0.0000045736397,0.4125151,0.000028197106,0.000032226802,0.0010318303,0.00019976665,0.000016650522,0.0013650778],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989438,0.000013780579,0.00038445566,0.0003350103,0.00014427652,0.00017867915],"domain_scores_gemma":[0.9989239,0.00020011557,0.00025055007,0.00044491692,0.00011165849,0.000068859714],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027507343,0.00013352367,0.00030506312,0.0000142809195,0.00018132884,0.000011748251,0.00031655392,0.000050187875,0.0013423671],"category_scores_gemma":[0.000048534745,0.00014920479,0.00011168231,0.0001655503,0.00009462947,0.000028941038,0.00013490603,0.00027747545,8.0124966e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029322908,0.00018954823,0.0001496847,0.0001423321,0.000037332957,3.7561557e-7,0.00002441631,0.0004093993,0.9874092,0.010166202,0.00037359723,0.0010686377],"study_design_scores_gemma":[0.00019093936,0.000019209303,0.000010291673,0.000006212873,0.00004505195,0.0000054119355,0.00019527147,0.061111387,0.8999168,0.0063958336,0.03195247,0.00015108506],"about_ca_topic_score_codex":0.000009101776,"about_ca_topic_score_gemma":1.2595213e-7,"teacher_disagreement_score":0.49336365,"about_ca_system_score_codex":0.00016183694,"about_ca_system_score_gemma":0.000095196236,"threshold_uncertainty_score":0.99957055},"labels":[],"label_agreement":null},{"id":"W4288808835","doi":"10.1016/j.chroma.2022.463391","title":"Chromatographic behaviour of peptides modified with amine-reacting tags for relative protein quantitation in proteomic applications","year":2022,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Peptide; Formic acid; Amine gas treating; Isobaric labeling; High-performance liquid chromatography; Quantitative proteomics; Tandem mass spectrometry; Retention time; Mass spectrometry; Proteomics; Biochemistry; Protein mass spectrometry; Organic chemistry","score_opus":0.013443739766310603,"score_gpt":0.26973286255402723,"score_spread":0.25628912278771665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288808835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9149908,0.00014900774,0.082986444,0.00010437019,0.000006210169,0.001365577,0.0000756543,0.0000389655,0.00028299043],"genre_scores_gemma":[0.88859755,0.000016387978,0.107803375,0.0000058502583,0.000027514589,0.003475091,0.000024170542,0.00003558601,0.000014504867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984185,0.00003150875,0.00081681705,0.00021552527,0.00031448255,0.0002031591],"domain_scores_gemma":[0.99772286,0.00009563014,0.0016193333,0.00025860005,0.00024423897,0.000059347498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003760313,0.00017572498,0.00036302552,0.00053821155,0.0002085243,0.000017423987,0.00031615226,0.00006924488,0.000017421686],"category_scores_gemma":[0.000025661862,0.0001668494,0.00025515934,0.0008919778,0.00010855107,0.00026255276,0.0000422001,0.00044673335,1.08966695e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042680884,0.0007712315,0.030677926,0.00039130755,0.00013781626,0.000004610047,0.0005003752,0.0013304835,0.9433894,0.021863857,0.000019454737,0.00048671043],"study_design_scores_gemma":[0.0055212025,0.0015100512,0.009121914,0.0010135869,0.00028585832,0.0003965278,0.0037489235,0.0009905706,0.9110421,0.06443816,0.001091341,0.00083976064],"about_ca_topic_score_codex":0.000028735716,"about_ca_topic_score_gemma":0.000008096642,"teacher_disagreement_score":0.0425743,"about_ca_system_score_codex":0.00007738872,"about_ca_system_score_gemma":0.00011247848,"threshold_uncertainty_score":0.6803921},"labels":[],"label_agreement":null},{"id":"W4289519662","doi":"10.1101/2022.07.30.502163","title":"An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Ministero dello Sviluppo Economico; Government of Canada; Genome Canada; Ontario Genomics; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute","keywords":"Proteomics; Metaproteomics; Workflow; Computational biology; Quantitative proteomics; Chemistry; Chromatography; Computer science; Biology; Biochemistry","score_opus":0.017317872389230465,"score_gpt":0.24669883253986863,"score_spread":0.22938096015063816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289519662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81058794,0.00061114115,0.18432437,0.00009965826,0.000056968845,0.0019217003,0.0018497974,0.00053513277,0.000013294004],"genre_scores_gemma":[0.5676947,0.00034424564,0.42616317,0.00004164909,0.00019622006,0.0054009696,0.000013450292,0.00013802863,0.000007520717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965625,0.00005456833,0.0006902249,0.001970754,0.00017669193,0.0005452785],"domain_scores_gemma":[0.99707323,0.00005769208,0.0006919983,0.0017836598,0.0001330709,0.00026034343],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060669053,0.00068957836,0.0009831634,0.0002976248,0.00054350065,0.00033434463,0.0006942552,0.0005360374,0.00012769744],"category_scores_gemma":[0.00003653918,0.0008084977,0.00020984303,0.0002935004,0.00017046805,0.0002270784,0.00078945037,0.0009106692,0.0000013830106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077562145,0.0001859595,0.0048426236,0.0010134912,0.0011929153,0.0000029772152,0.000016099782,0.0176245,0.96913093,0.0058708675,0.000034313656,0.000007777261],"study_design_scores_gemma":[0.0013990303,0.00010214059,0.0023609118,0.00008403533,0.0031191017,7.7661305e-8,0.000026695912,0.08830347,0.9004664,0.00033233565,0.0012011031,0.0026047023],"about_ca_topic_score_codex":0.00022785718,"about_ca_topic_score_gemma":0.0000033934034,"teacher_disagreement_score":0.24289319,"about_ca_system_score_codex":0.00052175944,"about_ca_system_score_gemma":0.0003072403,"threshold_uncertainty_score":0.9994366},"labels":[],"label_agreement":null},{"id":"W4291942089","doi":"10.1002/pmic.202200127","title":"The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue","year":2022,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Proteomics; Computer science; Workflow; Atlas (anatomy); Computational biology; Brain atlas; Human Protein Atlas; Artificial intelligence; Biology; Data science; Database; Protein expression","score_opus":0.044097139663820416,"score_gpt":0.36081761272810536,"score_spread":0.31672047306428497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291942089","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011203582,0.9727308,0.002952,0.00010994111,0.00006020473,0.0140339155,0.007778488,0.00024107039,0.0009732169],"genre_scores_gemma":[0.00004502184,0.9399328,0.03635619,0.000014862545,0.00016685044,0.01845116,0.003472462,0.00024433195,0.0013162999],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963117,0.00015774135,0.001840581,0.00074634637,0.00042286128,0.0005207709],"domain_scores_gemma":[0.99542266,0.00029354153,0.002026575,0.0020420586,0.00010286899,0.00011229416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006654232,0.0006817457,0.0017302657,0.00011485583,0.0005316308,0.00006308029,0.0020014774,0.00041070365,0.00029780567],"category_scores_gemma":[0.00025967756,0.0005459558,0.0004628843,0.00046738875,0.00044653847,0.00009951109,0.0009748193,0.0014279468,0.000007360965],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012646099,0.00044419445,0.0000027608044,0.061318666,0.0005468945,0.000019138055,0.0001732322,0.00002564374,0.23223649,0.020703495,0.0015123235,0.6828907],"study_design_scores_gemma":[0.00022702834,0.00010842706,2.4346495e-8,0.0017877803,0.00016064518,0.000025356816,0.00002588668,0.00003793414,0.12718241,0.0021252255,0.86781603,0.00050327706],"about_ca_topic_score_codex":0.0000870648,"about_ca_topic_score_gemma":0.000009915876,"teacher_disagreement_score":0.8663037,"about_ca_system_score_codex":0.00029072075,"about_ca_system_score_gemma":0.00047071237,"threshold_uncertainty_score":0.9996992},"labels":[],"label_agreement":null},{"id":"W4293332018","doi":"10.1161/circulationaha.122.061481","title":"Aptamer Proteomics for Biomarker Discovery in Heart Failure With Reduced Ejection Fraction","year":2022,"lang":"en","type":"letter","venue":"Circulation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Ejection fraction; Aptamer; Biomarker; Heart failure; Biomarker discovery; Proteomics; Cardiology; Heart failure with preserved ejection fraction; Internal medicine; Computational biology; Molecular biology; Genetics; Gene; Biology","score_opus":0.017945083415207338,"score_gpt":0.27118930609519326,"score_spread":0.2532442226799859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293332018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16563876,0.00006880954,0.5908232,0.23378734,0.00025252084,0.0065442505,0.00061911,0.0007486058,0.0015174217],"genre_scores_gemma":[0.6407819,0.00005235975,0.20345226,0.067376845,0.0055667856,0.044371832,0.034543373,0.000862067,0.002992622],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985712,0.000023344219,0.00033105953,0.0005972511,0.0002236816,0.00025342265],"domain_scores_gemma":[0.9990301,0.00006588659,0.00034663908,0.0004688357,0.00006877316,0.00001973399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010558263,0.00026033228,0.0002626035,0.0001684675,0.0001917603,0.00007698224,0.00012655309,0.0005518129,0.00019444282],"category_scores_gemma":[0.000024502135,0.00028013915,0.000116747346,0.0002493173,0.000034805642,0.00033585707,0.000030700627,0.0010475309,0.0000036832803],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004322127,0.00016473126,0.008981921,0.0010563526,0.000117665455,0.000009399584,0.00006375816,0.0023892766,0.65719277,0.0003073756,0.3279568,0.0013277376],"study_design_scores_gemma":[0.0008126127,0.00003059737,0.0006859135,0.0001604126,0.000073586336,0.000031371394,0.00006963743,0.0027191374,0.035174757,0.0042939046,0.955257,0.0006910603],"about_ca_topic_score_codex":0.00005225196,"about_ca_topic_score_gemma":0.000008694226,"teacher_disagreement_score":0.6273002,"about_ca_system_score_codex":0.000722549,"about_ca_system_score_gemma":0.0000861679,"threshold_uncertainty_score":0.9999651},"labels":[],"label_agreement":null},{"id":"W42947059","doi":"10.1007/978-1-59745-470-4_6","title":"Antibody-Based Proteomics Analysis of Tumor Cell Signaling Pathways","year":2008,"lang":"en","type":"book-chapter","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Proteomics; Antibody; Computational biology; Cell biology; Biology; Immunology; Biochemistry; Gene","score_opus":0.04819433834235619,"score_gpt":0.2723704442633052,"score_spread":0.224176105920949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W42947059","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015152149,0.0011643576,0.04147684,0.0000018525536,0.000013623159,0.00072981324,0.00095845887,0.00033119795,0.95380867],"genre_scores_gemma":[0.14149648,0.0016157525,0.22256371,0.0002472657,0.0006589054,0.0015710839,0.005652332,0.0009283698,0.6252661],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99794227,0.0000071369086,0.0007620937,0.0006595732,0.00033709864,0.00029183127],"domain_scores_gemma":[0.9974093,0.00006148391,0.0010410377,0.0011972974,0.00018737203,0.00010351218],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007306036,0.00050358934,0.000874553,0.00027038003,0.00017637713,0.000026802596,0.00058723934,0.00038401363,0.00029485908],"category_scores_gemma":[0.0000049272244,0.00055368646,0.0006484706,0.000021948717,0.00022463515,0.00002462035,0.0001417366,0.00057568983,0.000003986545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010381262,0.00013941164,0.0000062217728,0.0014816433,0.0013943629,0.00009234927,0.0003641683,0.0030314587,0.9048181,0.08604802,0.00024464642,0.0022757642],"study_design_scores_gemma":[0.00029673745,0.000024196552,3.5945408e-7,0.00025903477,0.0014533632,0.0000020263558,0.0000043362065,0.0015239425,0.90316993,0.0031613256,0.08938578,0.00071896],"about_ca_topic_score_codex":0.00005587258,"about_ca_topic_score_gemma":0.000005594535,"teacher_disagreement_score":0.32854253,"about_ca_system_score_codex":0.00008201684,"about_ca_system_score_gemma":0.00010761638,"threshold_uncertainty_score":0.9996915},"labels":[],"label_agreement":null},{"id":"W4295681693","doi":"10.1093/bioinformatics/btac628","title":"SQuAPP—simple quantitative analysis of proteins and PTMs","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Cuccione Foundation; Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Computer science; Workflow; Proteomics; Proteome; Pipeline (software); Visualization; Software; Quantitative proteomics; Data science; Data mining; Computational biology; Bioinformatics; Database; Chemistry; Biology; Programming language","score_opus":0.020229492025920257,"score_gpt":0.29578866180857577,"score_spread":0.2755591697826555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295681693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7580296,0.000113648566,0.21978828,0.000121624034,0.000008625179,0.0004335838,0.0011372631,0.00015589887,0.020211497],"genre_scores_gemma":[0.74512696,0.000030003845,0.2541538,0.000047720256,0.00000443976,0.000262185,0.00020049643,0.000008734932,0.00016568191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994284,0.0000041181365,0.00027656707,0.000069520924,0.0001274676,0.00009393689],"domain_scores_gemma":[0.9994579,0.000036751426,0.00021417956,0.00022784327,0.000032799973,0.000030554867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077413664,0.00006784208,0.00015890847,0.00009859468,0.0001404966,0.000009082961,0.00012358393,0.000023510534,0.00034335887],"category_scores_gemma":[0.000018235709,0.00006779853,0.000058790072,0.00042289746,0.000047209778,0.000064856365,0.00014931927,0.00009810314,0.0000011886706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002506845,0.0009391575,0.022127917,0.0018523582,0.0032765425,0.0000046173873,0.023169085,0.015991993,0.23903966,0.6329995,0.0041028447,0.056245636],"study_design_scores_gemma":[0.00074749463,0.00026099774,0.00065533136,0.000020246947,0.0009214709,0.000010104177,0.013473967,0.7233939,0.16283709,0.019157007,0.077809714,0.00071267714],"about_ca_topic_score_codex":0.000028469141,"about_ca_topic_score_gemma":0.0000039340694,"teacher_disagreement_score":0.70740193,"about_ca_system_score_codex":0.000029360102,"about_ca_system_score_gemma":0.000014886793,"threshold_uncertainty_score":0.37595388},"labels":[],"label_agreement":null},{"id":"W4296706670","doi":"10.1139/cjm-2021-0385","title":"Comparative lipidomics of <i>Pichia pastoris</i> using constitutive promoter reveals lipid diversity and variability at different growth phases","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pichia pastoris; Lipidomics; Biochemistry; Biology; Cardiolipin; Fatty acid; Food science; Phospholipid; Gene","score_opus":0.024137452421525117,"score_gpt":0.24767169913315887,"score_spread":0.22353424671163374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296706670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642116,0.0001416797,0.0019575423,0.000117392316,0.000101129066,0.00012569496,0.0009178625,0.0000040180857,0.00021352242],"genre_scores_gemma":[0.99691355,0.000016552134,0.002866243,0.00007509954,0.000060484625,0.000004397868,0.00001964122,0.000005217547,0.000038795202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992375,0.00007778983,0.00031871797,0.00015629684,0.00003040787,0.00017930938],"domain_scores_gemma":[0.99904424,0.00009553557,0.00043364006,0.0001266621,0.00013126717,0.0001686779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015905107,0.00011578266,0.00036516655,0.000068480105,0.0006550317,0.000004028764,0.00021386064,0.00006580174,0.00027869252],"category_scores_gemma":[0.00003483775,0.00011177147,0.000070763555,0.000058793066,0.0004883159,0.000036872138,0.0002900991,0.00029407136,1.3015709e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008753404,0.00005055121,0.05751844,0.000028555876,0.00007503897,0.0000075388016,0.0010935373,0.00003909465,0.9395848,0.0008461952,0.0006350758,0.00003366737],"study_design_scores_gemma":[0.00203409,0.00038114993,0.00084870117,0.00009758315,0.00024211024,0.0018617535,0.0007694201,0.000057011654,0.9649679,0.009126476,0.019094126,0.0005196427],"about_ca_topic_score_codex":0.0005733649,"about_ca_topic_score_gemma":0.00049160636,"teacher_disagreement_score":0.05666974,"about_ca_system_score_codex":0.00052391645,"about_ca_system_score_gemma":0.00018724105,"threshold_uncertainty_score":0.503804},"labels":[],"label_agreement":null},{"id":"W4297239707","doi":"10.32920/14638233.v2","title":"Plasma Peptidome","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Mount Sinai Hospital; St. Michael's Hospital; McMaster University; Kingston General Hospital; Ottawa Hospital; University of Manitoba; St. Boniface Hospital; Clinical Evaluation Research Unit; University of Toronto; Toronto Metropolitan University","funders":"Ontario Institute for Cancer Research","keywords":"Chemistry; Chromatography; Electrospray ionization; Formic acid; Mass spectrometry; Ex vivo; Tandem mass spectrometry; Human plasma; Protein mass spectrometry; Electrospray; Peptide; Biochemistry; In vitro","score_opus":0.0193254326748061,"score_gpt":0.2958804027229766,"score_spread":0.27655497004817053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297239707","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0689375,0.00006868975,0.025486292,0.000534791,0.000074438016,0.00026918238,0.00030866006,0.0012650945,0.90305537],"genre_scores_gemma":[0.31672576,0.00043614543,0.47824398,0.00025797187,0.00041757364,0.00594906,0.0012329093,0.00014238295,0.19659424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991618,0.0000030683966,0.00018254107,0.00038211033,0.00012570129,0.0001447882],"domain_scores_gemma":[0.99903953,0.000023348284,0.000111764144,0.0007592609,0.000019205709,0.000046868307],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003858858,0.0001601773,0.00015533,0.000026888178,0.00010175957,0.000025364234,0.00047742054,0.00016457708,0.02969206],"category_scores_gemma":[0.000007576272,0.00017138415,0.00011188364,0.00003599106,0.000024242283,0.000013466486,0.0015780962,0.0008540492,0.000042586777],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012098009,0.0009996546,0.0022282423,0.0024351703,0.00041146146,0.00006631615,0.0005417512,0.01421884,0.28511533,0.525589,0.1027258,0.06554745],"study_design_scores_gemma":[0.00014640871,0.0000061135,0.000004728388,0.000028009137,0.000021315582,0.000007499828,0.00009212009,0.001543852,0.14631131,0.11439951,0.73690754,0.0005315906],"about_ca_topic_score_codex":0.000033745535,"about_ca_topic_score_gemma":0.0000020508128,"teacher_disagreement_score":0.70646113,"about_ca_system_score_codex":0.000119651195,"about_ca_system_score_gemma":0.000050471193,"threshold_uncertainty_score":0.9711949},"labels":[],"label_agreement":null},{"id":"W4298326979","doi":"10.1007/978-1-0716-2593-4_16","title":"Analysis of the Human Pineal Proteome by Mass Spectrometry","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Proteome; Pineal gland; Proteomics; Melatonin; Computational biology; Biology; Mass spectrometry; Bioinformatics; Cell biology; Chemistry; Neuroscience; Biochemistry; Chromatography; Gene","score_opus":0.01479616712820515,"score_gpt":0.3898209908404722,"score_spread":0.3750248237122671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298326979","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0803764,0.00012338748,0.91735387,0.00015865345,0.000010296429,0.00015651101,0.00009363226,0.000024655019,0.001702577],"genre_scores_gemma":[0.093240984,0.0000050525637,0.9058105,0.00010070537,0.000006475319,0.00052671845,0.00007291651,0.000013444735,0.00022324348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989391,0.00029199457,0.00027027994,0.00026585013,0.00006849827,0.00016430978],"domain_scores_gemma":[0.9991983,0.000051872048,0.00017263829,0.0005449516,0.000014884668,0.000017309534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050918484,0.0000915933,0.00024865544,0.0001399645,0.00009816753,0.000002582234,0.00049157575,0.00007246207,0.00058768934],"category_scores_gemma":[0.000055500343,0.00007912509,0.00016505923,0.0011101753,0.000098699646,0.0000053574922,0.00027684623,0.0003435389,1.3258763e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028939107,0.000039292005,0.0039165826,0.00000554793,0.00008861867,6.561851e-7,0.000012035481,0.00017265546,0.9884092,0.0068525122,0.000009820891,0.0004901901],"study_design_scores_gemma":[0.0000925711,0.000020323967,0.000081019956,0.000001090182,0.000068014946,0.0000011899929,0.000023338083,0.00033955387,0.96296924,0.033067077,0.003249149,0.0000874127],"about_ca_topic_score_codex":0.00004501506,"about_ca_topic_score_gemma":0.0000015833562,"teacher_disagreement_score":0.026214564,"about_ca_system_score_codex":0.00008100051,"about_ca_system_score_gemma":0.000013645616,"threshold_uncertainty_score":0.6434786},"labels":[],"label_agreement":null},{"id":"W4299847005","doi":"10.3791/59589-v","title":"Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames","year":2019,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PROTEO; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; German Network for Bioinformatics Infrastructure; Deutsche Forschungsgemeinschaft; Bundesministerium für Bildung und Forschung; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Compute Canada; Université de Sherbrooke","keywords":"ORFS; Open reading frame; Annotation; Genome; Proteogenomics; Computational biology; Proteomics; Biology; Coding region; Proteome; Gene; Genetics; Computer science; Genomics; Peptide sequence","score_opus":0.09235081118844882,"score_gpt":0.48745090435103533,"score_spread":0.39510009316258654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299847005","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48782447,0.000061760045,0.5101297,0.00017317027,0.000036253274,0.0013431436,0.0001003017,0.00002100572,0.0003102225],"genre_scores_gemma":[0.3557999,0.0000072646867,0.64353883,0.00021479865,0.00010108572,0.00017695529,0.000028706552,0.000054695218,0.000077737124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976755,0.00004918873,0.00094410556,0.00044089966,0.0005139981,0.00037632394],"domain_scores_gemma":[0.9978404,0.00010145092,0.00082225294,0.000813379,0.00019136333,0.00023114016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041964155,0.00032585382,0.00065315526,0.0001488479,0.00019881102,0.00030311145,0.0015623639,0.0001583252,0.0007617893],"category_scores_gemma":[0.00007191582,0.00024275262,0.00021470997,0.00048010476,0.000056100645,0.0004300897,0.00024380915,0.0005731438,0.000013225024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007165199,0.00039810973,0.0002888369,0.000021312591,0.00017978947,0.0000072869084,0.00019058656,0.00086776895,0.99714875,0.00009576728,0.000040157996,0.000045083023],"study_design_scores_gemma":[0.0029117323,0.00013699506,0.000010779061,0.00046240105,0.00008029761,0.000010897288,0.00026127824,0.008037807,0.98666334,0.0002729293,0.0008417517,0.00030978947],"about_ca_topic_score_codex":0.0006115261,"about_ca_topic_score_gemma":0.000003887328,"teacher_disagreement_score":0.13340916,"about_ca_system_score_codex":0.00032438862,"about_ca_system_score_gemma":0.00036937458,"threshold_uncertainty_score":0.9899165},"labels":[],"label_agreement":null},{"id":"W4301179742","doi":"10.32920/ryerson.14669061.v2","title":"Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fonds National de la Recherche Luxembourg","keywords":"Computer science; Database; SQL; Computational biology; Proteomics; Bioinformatics; Biology; Gene","score_opus":0.023080263038852026,"score_gpt":0.30482211899385886,"score_spread":0.28174185595500684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301179742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94536376,0.00014505695,0.049565647,0.0002270523,0.000011786208,0.0020026856,0.001434911,0.00007784017,0.001171273],"genre_scores_gemma":[0.7089852,0.00025630533,0.28662893,0.000023425704,0.000030298968,0.0016084309,0.001689355,0.00004835636,0.0007296757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988791,0.000009857703,0.00049535796,0.0003845487,0.000094981326,0.00013619004],"domain_scores_gemma":[0.9990368,0.000057277546,0.00048014126,0.00034381184,0.000050047303,0.000031925305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017431128,0.00016987787,0.0003036745,0.000107893015,0.000048084225,0.000023053362,0.00015715967,0.00014763945,0.000316901],"category_scores_gemma":[0.00008190387,0.00018895892,0.000061205494,0.00010868814,0.000026876165,0.0000703582,0.0004542631,0.00023651142,7.2640944e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011204363,0.00011045867,0.0015611707,0.0014896566,0.000087419765,7.8508873e-7,0.000099574194,0.000011781288,0.9935325,0.00068860705,0.000025052052,0.0022809692],"study_design_scores_gemma":[0.0006649505,0.000029840541,0.00013958724,0.000615449,0.000057572437,0.0000024614617,0.00012908533,0.0011122696,0.99474025,0.0018491411,0.00044308303,0.00021632855],"about_ca_topic_score_codex":0.00033615917,"about_ca_topic_score_gemma":0.000017389177,"teacher_disagreement_score":0.23706327,"about_ca_system_score_codex":0.00004538398,"about_ca_system_score_gemma":0.00015284323,"threshold_uncertainty_score":0.7705521},"labels":[],"label_agreement":null},{"id":"W4303471081","doi":"10.1002/9783527833092.ch3","title":"Data‐Processing Workflow for Relative Quantification from Label‐Free and Isobaric Labeling‐Based Untargeted Shotgun Proteomics: From Database Search to Differential Expression Analysis","year":2022,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Shotgun proteomics; Workflow; Proteomics; Computer science; Database; Normalization (sociology); Isobaric labeling; Quantitative proteomics; Data mining; Chemistry","score_opus":0.05653252696317281,"score_gpt":0.33708901187525375,"score_spread":0.28055648491208096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303471081","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018807821,0.00054021145,0.91717935,0.00026326158,0.000028252642,0.0015170046,0.075420834,0.00053156057,0.002638741],"genre_scores_gemma":[0.0017704035,0.0001051573,0.8408019,0.00010382779,0.00028621405,0.0018242495,0.13765891,0.00040112887,0.017048195],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968882,0.000051942294,0.0005163819,0.0017969903,0.0003952068,0.0003512339],"domain_scores_gemma":[0.9962177,0.00025025004,0.0004264069,0.0028347715,0.00009057175,0.00018025882],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016468231,0.0004764869,0.0006268054,0.00036267596,0.0003662323,0.00015947629,0.001352846,0.00038361267,0.012507539],"category_scores_gemma":[0.00011628185,0.000471343,0.00009888402,0.0006392615,0.00006815187,0.00017703287,0.0011561671,0.00058754813,0.0000088116685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005349665,0.000536593,0.00083474914,0.00035296963,0.0010476696,0.0000027157691,0.00018877958,0.00017220379,0.9116769,0.00031636102,0.07565377,0.008682355],"study_design_scores_gemma":[0.003936924,0.000069883994,0.00004011353,0.0011229728,0.0039449646,3.1298313e-7,0.00038429108,0.3668512,0.42661977,0.0048035095,0.18952444,0.0027016196],"about_ca_topic_score_codex":0.0016520484,"about_ca_topic_score_gemma":0.0007246526,"teacher_disagreement_score":0.48505712,"about_ca_system_score_codex":0.00014298919,"about_ca_system_score_gemma":0.00011010399,"threshold_uncertainty_score":0.9997738},"labels":[],"label_agreement":null},{"id":"W4303614335","doi":"10.3390/biology11101444","title":"Maximizing Cumulative Trypsin Activity with Calcium at Elevated Temperature for Enhanced Bottom-Up Proteome Analysis","year":2022,"lang":"en","type":"article","venue":"Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Trypsin; Digestion (alchemy); Proteolysis; Biology; Proteome; Calcium; Bottom-up proteomics; Proteomics; Biochemistry; Peptide; Enzyme; Chromatography; Chemistry; Mass spectrometry; Tandem mass spectrometry; Gene","score_opus":0.02279964138713928,"score_gpt":0.3121260043673371,"score_spread":0.2893263629801978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303614335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9270542,0.00002596564,0.071071714,0.00029143726,0.00001664295,0.00059663213,0.0004938557,0.00016578476,0.0002837433],"genre_scores_gemma":[0.9707933,0.0000039846054,0.02240535,0.000063809995,0.00004414057,0.0037398485,0.000533931,0.000024227413,0.0023914222],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899155,0.00003494533,0.0001612662,0.00046646965,0.0000671437,0.00027864013],"domain_scores_gemma":[0.9992491,0.00007708594,0.0001970545,0.00035676258,0.00007274505,0.00004727875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008555237,0.00016932093,0.0002980217,0.000071938724,0.00044344095,0.000008777002,0.0001928427,0.00013879797,0.00036063677],"category_scores_gemma":[0.00002125572,0.0001470082,0.00011511183,0.00044643058,0.00006966264,0.00003405066,0.00014296237,0.0003144441,0.0000014017495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043788477,0.000048006554,0.00040614945,0.000014581144,0.00018901317,5.7210724e-7,0.00007023946,0.00028437318,0.99756527,0.00062912446,0.00005270233,0.0003020699],"study_design_scores_gemma":[0.0005028063,0.00010962999,0.00010029298,0.000002994698,0.00010879038,0.000003862796,0.00005358968,0.0008543342,0.99098986,0.0011597659,0.005895333,0.00021872565],"about_ca_topic_score_codex":0.00004059291,"about_ca_topic_score_gemma":0.000020774987,"teacher_disagreement_score":0.048666358,"about_ca_system_score_codex":0.0002430843,"about_ca_system_score_gemma":0.00004513437,"threshold_uncertainty_score":0.59948206},"labels":[],"label_agreement":null},{"id":"W4306146231","doi":"10.1002/pmic.202200021","title":"Data‐independent acquisition and quantification of extracellular matrix from human lung in chronic inflammation‐associated carcinomas","year":2022,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital","funders":"NIH Office of the Director; University of California, San Francisco; Cancer Research UK; National Institutes of Health; McGill University Health Centre; Buck Institute for Research on Aging","keywords":"Extracellular matrix; Biomarker; Stromal cell; Inflammation; Proteomics; Biology; Pathology; Immunohistochemistry; Basement membrane; Cancer; Lung cancer; Stroma; Proteome; Quantitative proteomics; Biomarker discovery; Elastin; Cancer research; Cell biology; Immunology; Medicine; Bioinformatics; Biochemistry; Gene","score_opus":0.02493314620037741,"score_gpt":0.29970274725673407,"score_spread":0.27476960105635667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306146231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679028,0.00089846196,0.029488819,0.000109659515,0.000010693717,0.00057677436,0.0008758155,0.00006787605,0.00006911322],"genre_scores_gemma":[0.9833271,0.000055722685,0.012532982,0.0000022611753,0.000047965576,0.00053290185,0.0033256875,0.00002386641,0.00015151186],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988204,0.000034729364,0.00045204212,0.00036302253,0.0001841978,0.0001455591],"domain_scores_gemma":[0.99888015,0.00003127399,0.00040127107,0.0006190853,0.000038371814,0.000029824118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003273692,0.00011320048,0.00016495021,0.00006791332,0.00019394261,0.000021671296,0.0003619215,0.000083723324,0.00022520132],"category_scores_gemma":[0.0000199681,0.00014454796,0.000024325545,0.00013562692,0.000037939913,0.00015172358,0.00036775394,0.00028561824,0.0000010900035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016892041,0.000048486054,0.005911861,0.00005536949,0.000012136913,0.0000013490705,0.000111940804,0.0011906865,0.98857814,0.003804659,0.000015412654,0.00025308057],"study_design_scores_gemma":[0.0008891245,0.000026868856,0.003414866,0.000049272545,0.00003714879,0.000003076112,0.00017059453,0.079214655,0.90154105,0.013760918,0.0006142112,0.0002782137],"about_ca_topic_score_codex":0.00036752378,"about_ca_topic_score_gemma":0.00008644408,"teacher_disagreement_score":0.08703707,"about_ca_system_score_codex":0.00053622754,"about_ca_system_score_gemma":0.000071740804,"threshold_uncertainty_score":0.58944947},"labels":[],"label_agreement":null},{"id":"W4306174446","doi":"10.1101/2022.10.13.511593","title":"Kinase Inhibitor Pulldown Assay (KiP) for Clinical Proteomics","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Petroleum Technology Research Centre; Cancer Prevention and Research Institute of Texas","keywords":"Kinome; Kinase; Quantitative proteomics; Cancer research; Proteomics; Computational biology; Biology; Cell biology; Biochemistry; Gene","score_opus":0.030411654941102165,"score_gpt":0.3039666890003012,"score_spread":0.27355503405919906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306174446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7611173,0.001590934,0.21401483,0.001479606,0.0018972482,0.008058171,0.007944304,0.003665271,0.00023236683],"genre_scores_gemma":[0.53175247,0.0009623277,0.44314808,0.0003999092,0.0025283364,0.020571215,0.000013282747,0.00050615665,0.00011824171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957466,0.00009125284,0.0012624217,0.0017555016,0.0004061301,0.00073808717],"domain_scores_gemma":[0.99538124,0.00024909052,0.0010158146,0.0025272467,0.00045390893,0.00037272208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013732794,0.0007367896,0.00084945443,0.00014030692,0.0004725821,0.00020222124,0.0012619259,0.001040983,0.000420973],"category_scores_gemma":[0.0005911186,0.0008723759,0.0005441104,0.0002884386,0.00018440906,0.00011560218,0.001421029,0.00222262,0.000025858955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014780053,0.0006566061,0.0037935027,0.0010510483,0.00019260019,0.000022789285,0.0000041570515,0.00007494879,0.9851553,0.0050158324,0.00386277,0.000022682241],"study_design_scores_gemma":[0.00074833544,0.00006148422,0.00036461154,0.00020899811,0.00014778487,1.6026604e-8,0.0000031697148,0.0006487286,0.7742524,0.00013119802,0.22224599,0.0011872704],"about_ca_topic_score_codex":0.000017388538,"about_ca_topic_score_gemma":7.5168293e-7,"teacher_disagreement_score":0.22936481,"about_ca_system_score_codex":0.0006097897,"about_ca_system_score_gemma":0.0007909648,"threshold_uncertainty_score":0.9993727},"labels":[],"label_agreement":null},{"id":"W4307042006","doi":"10.1016/j.matbio.2022.10.003","title":"Degradomics technologies in matrisome exploration","year":2022,"lang":"en","type":"review","venue":"Matrix Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Novo Nordisk Fonden; Novo Nordisk","keywords":"Computational biology; Chemistry; Biology","score_opus":0.06878021764178267,"score_gpt":0.3823468319278974,"score_spread":0.31356661428611476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307042006","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000053800186,0.9949697,0.0025010263,0.0000767162,0.000043294993,0.000451232,0.00019791831,0.0006520039,0.00110268],"genre_scores_gemma":[0.0000057160682,0.98318374,0.011856818,0.000004197342,0.000043871652,0.0034907977,0.00097002846,0.000051170493,0.00039363245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985773,0.000035819598,0.0005878182,0.00047593334,0.000047135414,0.00027601313],"domain_scores_gemma":[0.998833,0.00015736639,0.00038004018,0.0006032695,0.0000092185155,0.00001708668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001239866,0.0003010599,0.00091876916,0.00026876372,0.00008157465,0.000013527218,0.000626212,0.0006765067,0.0003776218],"category_scores_gemma":[0.00006811486,0.00027455887,0.00020517193,0.00041152028,0.0000794642,0.000046090245,0.00038904513,0.00082197355,0.000046087214],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026447033,0.000030466343,0.000005827238,0.0017886413,0.000013324125,0.000003903881,0.0000060479592,0.0000014173884,0.000046726596,0.014269635,0.0001130745,0.9837183],"study_design_scores_gemma":[0.000069670314,0.000012519214,5.7135154e-9,0.00024382655,0.000040832172,0.000021148873,0.00006810624,0.0000063991,0.000100716316,0.02578011,0.9733932,0.00026344962],"about_ca_topic_score_codex":0.000013960762,"about_ca_topic_score_gemma":0.0000046349373,"teacher_disagreement_score":0.9834548,"about_ca_system_score_codex":0.00030374245,"about_ca_system_score_gemma":0.000083255734,"threshold_uncertainty_score":0.9999707},"labels":[],"label_agreement":null},{"id":"W4307568971","doi":"10.1016/j.mcpro.2022.100436","title":"The Second Asia-Oceania Human Proteome Organization (AOHUPO) Online Education Series on the Renaissance of Clinical Proteomics: Biomarkers, Imaging and Therapeutics","year":2022,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Yonsei University; Ministry of Science, ICT and Future Planning; National Research Foundation; National Research Foundation of Korea; SCIEX","keywords":"The Renaissance; Event (particle physics); Proteome; Theme (computing); Kuala lumpur; Proteomics; Library science; Medical education; Political science; Medicine; History; Computer science; Bioinformatics; Biology; World Wide Web; Art history; Genetics; Business","score_opus":0.014178817441117365,"score_gpt":0.28828327469496706,"score_spread":0.2741044572538497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307568971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765048,0.0005445133,0.015553775,0.0037331895,0.000071221635,0.0025531962,0.00011619038,0.0001257121,0.0007973972],"genre_scores_gemma":[0.9594007,0.00013739288,0.03718049,0.00046472697,0.0001319728,0.0013003605,0.0002749358,0.00014275852,0.0009666717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99769974,0.00021088515,0.0008479185,0.00056859,0.00035501612,0.0003178621],"domain_scores_gemma":[0.99768627,0.00009059,0.00081057043,0.001097189,0.00024114754,0.00007422349],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008538535,0.0003148647,0.0002982027,0.000057592413,0.0013549863,0.00011967402,0.0007527479,0.00012028568,0.00014032723],"category_scores_gemma":[0.00012722272,0.00024825084,0.00012350846,0.00038872648,0.00042810917,0.000107577136,0.0004412926,0.0008206272,0.0000016771922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007732073,0.00026264935,0.0010433445,0.000075957934,0.00007279364,0.000003153943,0.00010839615,0.000022210685,0.97753906,0.018926801,0.0001629258,0.0017053952],"study_design_scores_gemma":[0.00031400158,0.00009147052,0.00011278509,0.00004194919,0.00004214357,0.00002863017,0.00052118744,0.00049282826,0.96369696,0.01674287,0.017627446,0.00028775513],"about_ca_topic_score_codex":0.000013789951,"about_ca_topic_score_gemma":0.0000067334795,"teacher_disagreement_score":0.021626716,"about_ca_system_score_codex":0.00011936173,"about_ca_system_score_gemma":0.00026524742,"threshold_uncertainty_score":0.99999696},"labels":[],"label_agreement":null},{"id":"W4307840280","doi":"10.1021/acs.jproteome.2c00498","title":"The 2022 Report on the Human Proteome from the HUPO Human Proteome Project","year":2022,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; Division of Biological Infrastructure; National Institute of General Medical Sciences; National Cancer Institute; NIH Office of the Director; Australian Research Council; National Science Foundation; Canadian Institutes of Health Research; Stand Up To Cancer; Farmer Family Foundation; Knut och Alice Wallenbergs Stiftelse; University of California, San Diego; Swiss Institute of Bioinformatics; National Institute on Aging; Canada Research Chairs; National Institutes of Health","keywords":"Human proteome project; Proteome; Computational biology; Proteomics; Biology; Bioinformatics; Genetics; Gene","score_opus":0.2741739740424196,"score_gpt":0.5060848494545866,"score_spread":0.23191087541216704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307840280","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011103782,0.9484609,0.00019287525,0.00669198,0.00020101946,0.029227853,0.0005070328,0.0001979355,0.013410023],"genre_scores_gemma":[0.00008524261,0.9428174,0.0013817811,0.00004616172,0.0031004003,0.037912857,0.0001686888,0.00034882352,0.014138645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98859066,0.0018696178,0.0029971274,0.0010471417,0.0041612615,0.0013341835],"domain_scores_gemma":[0.9877504,0.0031992272,0.0040220283,0.003990401,0.0008101384,0.00022779068],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.016074626,0.0008601658,0.001713882,0.00040041486,0.00691504,0.0008129596,0.0071249874,0.0005489825,0.0020385995],"category_scores_gemma":[0.002330698,0.00039683847,0.001469046,0.0017749553,0.00097520684,0.00019332334,0.0019051881,0.014324151,0.000050844785],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070332695,0.0035553095,0.000061764484,0.021442108,0.0058975006,0.004329434,0.0017928099,0.000012726692,0.06689051,0.04313087,0.17451023,0.6776734],"study_design_scores_gemma":[0.00023178844,0.0003628924,0.0000022097895,0.0041042077,0.00016268023,0.0006503522,0.00028521262,0.000001783172,0.0024179816,0.016684998,0.97464323,0.00045264108],"about_ca_topic_score_codex":0.00026618052,"about_ca_topic_score_gemma":0.00002094176,"teacher_disagreement_score":0.80013305,"about_ca_system_score_codex":0.0015397095,"about_ca_system_score_gemma":0.0022490318,"threshold_uncertainty_score":0.99984837},"labels":[],"label_agreement":null},{"id":"W4308446957","doi":"10.20944/preprints202211.0096.v1","title":"Quantitative Proteomics Approach to Characterize Cellular Reprogramming","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Tandem mass tag; Isobaric labeling; Phosphorylation; Proteomics; Tyrosine phosphorylation; Proteome; SH2 domain; Quantitative proteomics; Tyrosine; Chemistry; Phosphoproteomics; Tandem mass spectrometry; Computational biology; Stable isotope labeling by amino acids in cell culture; Protein phosphorylation; Mass spectrometry; Biology; Biochemistry; Chromatography; Protein kinase A","score_opus":0.14699144737375594,"score_gpt":0.36395036285176,"score_spread":0.21695891547800408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308446957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87891614,0.000057221387,0.07865047,0.00028155802,0.000119680866,0.002749615,0.00037512922,0.0010507293,0.037799444],"genre_scores_gemma":[0.60919595,0.00010476263,0.3634645,0.00014334895,0.00023611958,0.021250464,0.0016064168,0.00021712878,0.0037813117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99579,0.00006832436,0.00084706105,0.00222454,0.0004573286,0.00061272207],"domain_scores_gemma":[0.9956402,0.000057184734,0.00070853345,0.0031737199,0.00015129113,0.00026906448],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067648065,0.00061820727,0.00067748263,0.00014899834,0.00036269546,0.000063821695,0.001705094,0.0004540838,0.0017590515],"category_scores_gemma":[0.00022041154,0.0007452767,0.0003204604,0.00026725486,0.00010382651,0.00009034617,0.00622493,0.0023827276,0.00030468559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001625064,0.0006310273,0.019533064,0.0007678017,0.00015551577,0.000010826176,0.0013760383,0.001470753,0.96668947,0.008397287,0.00003613558,0.0007695846],"study_design_scores_gemma":[0.0002663406,0.000030216932,0.0014077212,0.00016252694,0.00008763815,0.000008071754,0.00058292534,0.00091883505,0.92240477,0.008724426,0.06404617,0.0013603384],"about_ca_topic_score_codex":0.00018151799,"about_ca_topic_score_gemma":9.4168e-7,"teacher_disagreement_score":0.28481406,"about_ca_system_score_codex":0.0004907894,"about_ca_system_score_gemma":0.0001716175,"threshold_uncertainty_score":0.9999188},"labels":[],"label_agreement":null},{"id":"W4308787105","doi":"10.5772/intechopen.108422","title":"Perspective Chapter: Pattern Recognition for Mass-Spectrometry-Based Proteomics","year":2022,"lang":"en","type":"book-chapter","venue":"Biomedical engineering","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Proteomics; Proteogenomics; Computer science; Artificial intelligence; Biomarker discovery; Computational biology; Metabolomics; Genomics; Pattern recognition (psychology); Bioinformatics; Chemistry; Biology; Genome; Gene","score_opus":0.016565661828050013,"score_gpt":0.24276672553310416,"score_spread":0.22620106370505416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308787105","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000026031901,0.00016598993,0.9626324,0.0004933936,0.000097378725,0.00075468305,0.00183982,0.0005799277,0.03341035],"genre_scores_gemma":[0.003530466,0.0003554557,0.965554,0.00017896465,0.0015371185,0.0041856943,0.0035805057,0.00054834643,0.020529468],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842376,0.0000013219451,0.0003645551,0.00057340367,0.00031557135,0.00032142168],"domain_scores_gemma":[0.9990726,0.00009549965,0.00019484531,0.00037923246,0.00008977294,0.00016803772],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000104350846,0.00038326273,0.00035123143,0.00023404852,0.00011248355,0.000023973585,0.00029469698,0.00040998892,0.0038009512],"category_scores_gemma":[0.00006016432,0.0004440719,0.00025758753,0.00005106914,0.000065241955,0.00004012048,0.00007710664,0.0007436377,0.000018964485],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015899172,0.00021383677,0.0000024538354,0.0020133539,0.0005144884,0.000059625192,0.0001145964,0.0003782385,0.6419659,0.31230673,0.0007254519,0.04154631],"study_design_scores_gemma":[0.001445413,0.00026440874,5.472434e-7,0.0006512151,0.00019020926,0.000025015048,0.000033587326,0.02496009,0.07166933,0.05742869,0.8413787,0.0019527909],"about_ca_topic_score_codex":0.000008467628,"about_ca_topic_score_gemma":3.688725e-7,"teacher_disagreement_score":0.84065324,"about_ca_system_score_codex":0.0005645028,"about_ca_system_score_gemma":0.00006271262,"threshold_uncertainty_score":0.9998011},"labels":[],"label_agreement":null},{"id":"W4308844517","doi":"10.1101/2022.11.09.515610","title":"Monitoring Functional Post-Translational Modifications Using a Data-Driven Proteome Informatic Pipeline","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Helsinki Institute of Life Science, Helsingin Yliopisto; Biocenter Finland; Svenska Läkaresällskapet; Vetenskapsrådet; Academy of Finland","keywords":"Proteome; Proteomics; Computational biology; Posttranslational modification; Computer science; Pipeline (software); Crosstalk; Phosphoproteomics; Chemistry; Bioinformatics; Biology; Cell biology; Kinase; Protein kinase A; Protein phosphorylation; Biochemistry; Engineering; Gene","score_opus":0.04640240090073741,"score_gpt":0.2802922773612473,"score_spread":0.23388987646050988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308844517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5560018,0.0006019703,0.4300114,0.0005222437,0.00049870077,0.0019026214,0.008834419,0.0015328364,0.00009402462],"genre_scores_gemma":[0.75004953,0.000107430045,0.24705409,0.000046578192,0.0007125579,0.0018116626,0.000054342367,0.00014452578,0.000019275383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968904,0.000037606085,0.00090913463,0.0010450472,0.0006409566,0.00047681355],"domain_scores_gemma":[0.9956744,0.00007812098,0.0007319343,0.002718158,0.0005838719,0.00021354019],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035516138,0.00054146105,0.00043589002,0.00024421798,0.00066006294,0.0001999421,0.0013618381,0.00039224938,0.0006249248],"category_scores_gemma":[0.00013373408,0.0006658723,0.00014985388,0.000434645,0.0001063425,0.00048897846,0.0014011405,0.0014793037,0.00002591759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000317522,0.000207683,0.002358002,0.0006015801,0.00012631969,0.0000057207776,0.000017000988,0.0207437,0.9748708,0.0009550552,0.000074156225,0.000008258129],"study_design_scores_gemma":[0.0014651305,0.000031637635,0.0116189495,0.0013142123,0.00069159927,4.5864005e-7,0.00005069846,0.3038773,0.65351444,0.00016637522,0.023518685,0.0037505203],"about_ca_topic_score_codex":0.00006307225,"about_ca_topic_score_gemma":7.3179524e-7,"teacher_disagreement_score":0.32135633,"about_ca_system_score_codex":0.0005050045,"about_ca_system_score_gemma":0.00097348256,"threshold_uncertainty_score":0.99957925},"labels":[],"label_agreement":null},{"id":"W4309082206","doi":"10.1007/978-1-0716-2863-8_12","title":"Workflow for Quantitative Proteomic Analysis of Intestinal Organoids Using SILAC","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Organoid; Cell biology; Biology; Proteomics; Cell; Endogeny; Quantitative proteomics; Computational biology; Chemistry; Biochemistry","score_opus":0.04700484470205182,"score_gpt":0.4475884642715794,"score_spread":0.4005836195695276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309082206","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20901467,0.00008500673,0.79046965,0.000033768574,0.000010269112,0.00023280634,0.00005263997,0.000021692133,0.00007951223],"genre_scores_gemma":[0.036445364,0.0000030354722,0.9626537,0.000039887167,0.00000539664,0.0007566803,0.00005919129,0.000017813734,0.000018916582],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989351,0.0002140649,0.00032474723,0.00030601694,0.000042466116,0.00017758852],"domain_scores_gemma":[0.99915737,0.00026389895,0.00021095824,0.0002892326,0.00005818559,0.000020350757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006494677,0.00010698592,0.00033557377,0.00023357985,0.00007599187,0.000002857454,0.00025100328,0.00007182192,0.00014643744],"category_scores_gemma":[0.0003325955,0.000116789925,0.00014622438,0.0008756367,0.000075589334,0.000009747446,0.00017948794,0.0002105898,8.1432745e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004984882,0.000048489208,0.0018243924,0.000016326683,0.0001154012,0.0000010860236,0.000052559382,0.004992023,0.9757912,0.014846054,6.0139246e-7,0.0022619795],"study_design_scores_gemma":[0.00015272084,0.00006597711,0.000010345015,0.000005347173,0.00014677171,0.0000027061772,0.000079759906,0.046120137,0.9022111,0.050927244,0.00016000436,0.00011788023],"about_ca_topic_score_codex":0.000037122394,"about_ca_topic_score_gemma":0.0000020605535,"teacher_disagreement_score":0.1725693,"about_ca_system_score_codex":0.00010245257,"about_ca_system_score_gemma":0.000044505257,"threshold_uncertainty_score":0.4762555},"labels":[],"label_agreement":null},{"id":"W4309765403","doi":"10.1002/elps.202200257","title":"Quantitative assessment confirms deep proteome analysis by integrative top–down proteomics","year":2022,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Isoelectric focusing; Proteomics; Chemistry; Chromatography; Mass spectrometry; Tandem mass spectrometry; Resolution (logic); Quantitative proteomics; Two-dimensional gel electrophoresis; Computational biology; Computer science; Biochemistry; Biology; Artificial intelligence; Enzyme","score_opus":0.006506711474050248,"score_gpt":0.28668551901967343,"score_spread":0.2801788075456232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309765403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40956232,0.000561745,0.57652324,0.0010443293,0.000019610437,0.001438693,0.0006129921,0.0003846212,0.009852474],"genre_scores_gemma":[0.81379086,0.00018834649,0.17350662,0.00016139477,0.00003378036,0.009369114,0.0005380476,0.00006157192,0.00235024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979697,0.00007967917,0.00041489885,0.0006545574,0.00040927416,0.00047191553],"domain_scores_gemma":[0.9987573,0.000094481766,0.0003304047,0.0005815632,0.0001273509,0.00010890192],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021000892,0.00031010015,0.0004437701,0.00018139604,0.0006544421,0.00006328113,0.000540322,0.00008644874,0.0030627244],"category_scores_gemma":[0.00003905876,0.00029822608,0.00026961713,0.0012966892,0.0000995944,0.00008347271,0.00020118637,0.0008126107,0.000007181204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013510439,0.0002390171,0.00048931275,0.000014728188,0.000569011,0.000005209348,0.00025190727,0.00034531805,0.98177063,0.013626137,0.001638152,0.000915463],"study_design_scores_gemma":[0.00035527477,0.00039253212,0.00007863779,0.000005840996,0.00033113096,0.0000064062738,0.0009238535,0.007310066,0.95981747,0.010029961,0.020187393,0.0005614591],"about_ca_topic_score_codex":0.00019413143,"about_ca_topic_score_gemma":0.00003421264,"teacher_disagreement_score":0.40422857,"about_ca_system_score_codex":0.0007200908,"about_ca_system_score_gemma":0.00013707289,"threshold_uncertainty_score":0.999947},"labels":[],"label_agreement":null},{"id":"W4310398132","doi":"10.7554/elife.83947","title":"High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada)","funders":"Bundesministerium für Bildung und Forschung; Wellcome Trust; Francis Crick Institute; European Research Council; Cancer Research UK; Medical Research Council; Wellcome","keywords":"Proteome; Throughput; Proteomics; Zeno's paradoxes; Chromatography; Chemistry; Computer science; Biochemistry","score_opus":0.011255599386118378,"score_gpt":0.24042170910918423,"score_spread":0.22916610972306584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310398132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9290571,0.000069669266,0.0666841,0.0003484096,0.000019757916,0.00040409126,0.00035696276,0.00025923812,0.0028006334],"genre_scores_gemma":[0.63517404,0.00004025792,0.36287767,0.00010139349,0.00006879261,0.0008079771,0.000110903056,0.00003855438,0.0007804251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990523,0.000009074377,0.00023048325,0.00025945628,0.0002555116,0.00019317886],"domain_scores_gemma":[0.99920404,0.00002325418,0.0001854221,0.0004800447,0.00005614077,0.000051123934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008269994,0.00012731968,0.00018611988,0.000024483958,0.00021965192,0.000010809847,0.00029525207,0.000043682347,0.0005510981],"category_scores_gemma":[0.0000080161135,0.000119255805,0.00005190393,0.0001606657,0.00008076499,0.0000458372,0.00019814831,0.00023373048,0.00000438754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018940309,0.00048321817,0.0040493393,0.0001434808,0.0000616237,0.000004862256,0.0005454613,0.0021593657,0.9660411,0.020211356,0.0029657898,0.003145029],"study_design_scores_gemma":[0.00032953953,0.00008475526,0.00007015843,0.00001620956,0.000014878668,0.000012920169,0.00017914917,0.00007486213,0.9148789,0.0027227157,0.08142633,0.00018956208],"about_ca_topic_score_codex":0.00017196861,"about_ca_topic_score_gemma":0.000011649189,"teacher_disagreement_score":0.2961936,"about_ca_system_score_codex":0.00006726168,"about_ca_system_score_gemma":0.00005718655,"threshold_uncertainty_score":0.60341376},"labels":[],"label_agreement":null},{"id":"W4310596466","doi":"10.1038/s41477-022-01314-8","title":"The incongruity of validating quantitative proteomics using western blots","year":2022,"lang":"en","type":"letter","venue":"Nature Plants","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Blot; Proteomics; Computational biology; Quantitative proteomics; Biology; Biochemistry; Gene","score_opus":0.032639277087092765,"score_gpt":0.33487100957027977,"score_spread":0.302231732483187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310596466","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6781532,0.006643746,0.018698387,0.23056455,0.0021456177,0.008459517,0.031366963,0.0016019023,0.022366077],"genre_scores_gemma":[0.07898455,0.0017941522,0.6404225,0.23874708,0.008888674,0.0039270427,0.013562684,0.0012398533,0.012433431],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984233,0.00004846491,0.00041898203,0.0003943499,0.00040069796,0.0003142132],"domain_scores_gemma":[0.9979105,0.0005041137,0.0008192815,0.00061881635,0.000122044934,0.000025237727],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00021014092,0.00028193954,0.0003406914,0.00004826425,0.00043164394,0.00004703544,0.0007884625,0.0010390059,0.00007498254],"category_scores_gemma":[0.00014389485,0.00022995702,0.00010067222,0.00013259966,0.00009954092,0.00005519587,0.0003401148,0.0054354337,0.0000018629621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005728945,0.000227132,0.0035962716,0.0030370203,0.0010364691,0.00038234846,0.0011510131,0.0004535563,0.47535434,0.0028905082,0.5080878,0.003210636],"study_design_scores_gemma":[0.00022040101,0.000027640948,0.0000073209744,0.00029775532,0.00006829609,0.000068244844,0.00010601433,0.00041414434,0.24499671,0.0038765229,0.7494081,0.000508839],"about_ca_topic_score_codex":0.00006602356,"about_ca_topic_score_gemma":0.000013275219,"teacher_disagreement_score":0.6217241,"about_ca_system_score_codex":0.00015587032,"about_ca_system_score_gemma":0.00013288447,"threshold_uncertainty_score":0.9968591},"labels":[],"label_agreement":null},{"id":"W4311860120","doi":"10.1002/pmic.202200116","title":"An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis","year":2022,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Ministero dello Sviluppo Economico; Government of Canada; Ontario Ministry of Economic Development and Innovation; Genome Canada","keywords":"Proteomics; Metaproteomics; Quantitative proteomics; Computational biology; Tandem mass tag; Chromatography; Chemistry; Biology; Bioinformatics; Biochemistry","score_opus":0.019005861111006127,"score_gpt":0.26651457415089636,"score_spread":0.24750871303989022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311860120","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58707976,0.00013733105,0.4097386,0.00018036988,0.000014664803,0.0018872322,0.000545124,0.00020615841,0.0002107918],"genre_scores_gemma":[0.4024384,0.00007510056,0.5886133,0.00007011004,0.00009592068,0.00814807,0.0003499903,0.00006625207,0.00014290687],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99778974,0.0000423118,0.00051139016,0.0010617021,0.00014298307,0.0004518838],"domain_scores_gemma":[0.9986325,0.000049375165,0.00035787025,0.0007525372,0.000047122714,0.00016059332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000528076,0.00036133765,0.0005617003,0.00018664914,0.00092559255,0.0001475655,0.0004469807,0.00014466024,0.00013895081],"category_scores_gemma":[0.000019279889,0.00040433582,0.00013835535,0.00024225851,0.00013897079,0.0002680409,0.00037288072,0.00045480535,0.0000010134628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004996216,0.00042794918,0.005295024,0.00046342463,0.001076029,0.0000021101405,0.00052958436,0.13669969,0.818964,0.03168316,0.00012837526,0.0042310455],"study_design_scores_gemma":[0.0024114083,0.0002970658,0.00013371409,0.000010074196,0.0011895387,0.00006115782,0.0005966452,0.5336014,0.42351428,0.035432313,0.0012407458,0.0015116286],"about_ca_topic_score_codex":0.00023483884,"about_ca_topic_score_gemma":0.000011093476,"teacher_disagreement_score":0.39690176,"about_ca_system_score_codex":0.00032281544,"about_ca_system_score_gemma":0.00010059841,"threshold_uncertainty_score":0.99984086},"labels":[],"label_agreement":null},{"id":"W4311945784","doi":"10.1002/prca.202200056","title":"Fast and straightforward simultaneous quantification of multiple apolipoproteins in human serum on a high‐throughput LC‐MS/MS platform","year":2022,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Throughput; High-throughput screening; Chromatography; Chemistry; Computer science; Computational biology; Biology; Biochemistry; Operating system","score_opus":0.041837945876568576,"score_gpt":0.34614301332962055,"score_spread":0.30430506745305197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311945784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8536873,0.000040754963,0.13810565,0.0008732476,0.000026665788,0.0037453533,0.0017481417,0.0002574255,0.0015154958],"genre_scores_gemma":[0.9232092,0.00009949199,0.06676284,0.00011153952,0.0001239641,0.008938105,0.00039296647,0.000065848304,0.00029603476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968932,0.000042229058,0.0014387206,0.00091547717,0.00032476598,0.00038555646],"domain_scores_gemma":[0.99724334,0.00059734937,0.00074975414,0.0011420787,0.00010788168,0.0001595979],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005408451,0.00030572392,0.0005164643,0.00013470223,0.0005817971,0.000035087265,0.00065998046,0.00024745124,0.00023263054],"category_scores_gemma":[0.00015644464,0.0003390681,0.00015686486,0.00043606892,0.0003186823,0.00010228794,0.00037669315,0.0010611715,0.000013151292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000559268,0.0061373045,0.014776853,0.00050859124,0.00014477593,0.000006779275,0.0004406533,0.020778883,0.45633605,0.3926472,0.00014847919,0.10751516],"study_design_scores_gemma":[0.006024449,0.0009527068,0.005694047,0.00016092366,0.00014559973,0.00003593332,0.00067524024,0.04805835,0.58027095,0.31782714,0.038124513,0.0020301573],"about_ca_topic_score_codex":0.00041473098,"about_ca_topic_score_gemma":0.00014904626,"teacher_disagreement_score":0.12393488,"about_ca_system_score_codex":0.00019493826,"about_ca_system_score_gemma":0.000087949506,"threshold_uncertainty_score":0.9999061},"labels":[],"label_agreement":null},{"id":"W4312087809","doi":"10.1002/alz.064314","title":"Applying Data‐Independent Acquisition Mass Spectrometry on Cerebrospinal Fluid Samples from a Neurology Clinic for Biomarker Discovery in Alzheimer’s Disease","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Dementia; Cohort; Biomarker; Medicine; Neurology; Medical diagnosis; Internal medicine; Lumbar puncture; Alzheimer's disease; Disease; Oncology; Cerebrospinal fluid; Bioinformatics; Pathology; Psychiatry; Biology","score_opus":0.06111008763913823,"score_gpt":0.32607691315547915,"score_spread":0.26496682551634093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312087809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51806855,0.10785548,0.32339606,0.0050262217,0.0012465423,0.009287953,0.032140642,0.0010882224,0.0018903303],"genre_scores_gemma":[0.9643183,0.00011393764,0.02356473,0.0008473225,0.00017813533,0.004827574,0.006067787,0.00007428383,0.000007973548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975184,0.000060074704,0.00055585784,0.0010727403,0.0003244849,0.00046842964],"domain_scores_gemma":[0.998103,0.0002100118,0.00027223877,0.0012725974,0.000022011587,0.00012013788],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027694504,0.0002901082,0.00028234386,0.00013417877,0.0003635193,0.00007337107,0.00088086573,0.000089327266,0.001875109],"category_scores_gemma":[0.000018149074,0.0003363443,0.0001390094,0.00020573492,0.000061010847,0.00028236906,0.00070507725,0.00038011358,0.000021846616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011755483,0.0043546185,0.08490881,0.00007112022,0.017694982,0.00019128725,0.00014193876,0.001226186,0.7519852,0.01321815,0.018434359,0.09601785],"study_design_scores_gemma":[0.014132658,0.0015607637,0.0731254,0.00017590969,0.04412212,0.00004217996,0.000771465,0.029973667,0.3323215,0.19941835,0.29851252,0.0058434415],"about_ca_topic_score_codex":0.00015715805,"about_ca_topic_score_gemma":0.0000180085,"teacher_disagreement_score":0.4462497,"about_ca_system_score_codex":0.000028306771,"about_ca_system_score_gemma":0.00007520535,"threshold_uncertainty_score":0.99990886},"labels":[],"label_agreement":null},{"id":"W4312098799","doi":"10.1101/2022.12.19.520999","title":"Hybrid-DIA: Intelligent Data Acquisition for Simultaneous Targeted and Discovery Phosphoproteomics in Single Spheroids","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Novo Nordisk; Novo Nordisk Fonden; Academia Sinica; European Commission","keywords":"Phosphoproteomics; Phosphopeptide; Proteomics; Computational biology; Quantitative proteomics; Chemistry; HeLa; Computer science; Peptide; Phosphorylation; Biology; Protein phosphorylation; Cell; Biochemistry","score_opus":0.018715169137576936,"score_gpt":0.2511818453015156,"score_spread":0.23246667616393868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312098799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8415247,0.0023706986,0.1465677,0.00015690544,0.00020933468,0.00181559,0.0068827076,0.0004602789,0.00001204081],"genre_scores_gemma":[0.8982214,0.0010907712,0.09826449,0.000099946265,0.00022723278,0.0018375025,0.000059582217,0.0001826482,0.000016475933],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969952,0.000029461322,0.00067560776,0.001541916,0.0002435475,0.0005142791],"domain_scores_gemma":[0.9966984,0.00019612466,0.00048756236,0.002315691,0.0001513258,0.00015090671],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037024368,0.00053999486,0.0005473295,0.00011274166,0.00021360212,0.00025152642,0.0010895772,0.0003522516,0.00009487139],"category_scores_gemma":[0.00026572813,0.00066951686,0.00009754943,0.0002049327,0.000113003116,0.00026410585,0.0021591617,0.0009255231,0.0000026745847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012872627,0.00032304772,0.0004977283,0.0006193187,0.00006506142,0.000038355265,0.000007023982,0.001431199,0.99611306,0.000623874,0.00011580623,0.000036771988],"study_design_scores_gemma":[0.00043530087,0.00004234953,0.00008169032,0.00022787115,0.00007298798,4.6010786e-8,0.000009820223,0.009105101,0.9763287,0.0001996755,0.012661435,0.0008350381],"about_ca_topic_score_codex":0.000076927376,"about_ca_topic_score_gemma":0.000005495528,"teacher_disagreement_score":0.056696616,"about_ca_system_score_codex":0.0006804745,"about_ca_system_score_gemma":0.00027517678,"threshold_uncertainty_score":0.9995756},"labels":[],"label_agreement":null},{"id":"W4312192991","doi":"10.1038/s41467-022-35564-z","title":"Benchmarking tools for detecting longitudinal differential expression in proteomics data allows establishing a robust reproducibility optimization regression approach","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute of General Medical Sciences; Turun yliopiston tutkijakoulu; European Regional Development Fund; National Institutes of Health; Turun Yliopisto; National Institute of Allergy and Infectious Diseases; Fundacja na rzecz Nauki Polskiej; European Commission","keywords":"Proteomics; Computer science; Benchmarking; Ranking (information retrieval); Data mining; Missing data; Protein expression; Differential (mechanical device); Expression (computer science); Artificial intelligence; Machine learning; Biology","score_opus":0.09565939667920258,"score_gpt":0.342872405674108,"score_spread":0.2472130089949054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312192991","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061083186,0.000916663,0.9332438,0.0007558919,0.00008615047,0.0020693846,0.00058383774,0.00031274304,0.00094833254],"genre_scores_gemma":[0.468179,0.00006774469,0.5256778,0.000015560398,0.00007175088,0.0019579988,0.003984769,0.000027188742,0.000018222716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99759334,0.00013157482,0.0005335576,0.0012127964,0.00025167258,0.00027707423],"domain_scores_gemma":[0.9911972,0.00050514017,0.00043553463,0.0076856227,0.00012533153,0.000051146493],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013690529,0.00020363877,0.0002378324,0.00010572005,0.0017686695,0.00022349754,0.002894856,0.00025016375,0.000054477267],"category_scores_gemma":[0.0017564051,0.00021321932,0.00007138926,0.00043408712,0.00007805459,0.00070150796,0.0040086517,0.0020551921,9.728418e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058619404,0.0029137146,0.015421199,0.00049452455,0.00006664536,0.0000017639566,0.0015557391,0.5081987,0.42484266,0.0036758746,0.0017054592,0.040537573],"study_design_scores_gemma":[0.0006574643,0.000022900824,0.00022543887,0.00014492696,0.000037963164,0.000014036281,0.00063446356,0.9677379,0.023744132,0.000757063,0.0055955253,0.00042815623],"about_ca_topic_score_codex":0.000028952541,"about_ca_topic_score_gemma":0.00006128237,"teacher_disagreement_score":0.45953926,"about_ca_system_score_codex":0.00032138877,"about_ca_system_score_gemma":0.000101607744,"threshold_uncertainty_score":0.9995309},"labels":[],"label_agreement":null},{"id":"W4312352124","doi":"10.17504/protocols.io.5qpvoy5e7g4o/v3","title":"Total crude protein in plankton:Pierce BCA protein assay (including the enhanced assay for low biomass) v2","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Zooplankton; Plankton; Biomass (ecology); Biology; Fishery; Ecology","score_opus":0.024952656099952498,"score_gpt":0.30709162440136417,"score_spread":0.28213896830141166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312352124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37697354,0.00021246022,0.5599317,0.0036370303,0.00013410603,0.015027949,0.0012325661,0.0013030149,0.04154764],"genre_scores_gemma":[0.75697863,0.000017645421,0.14526027,0.00008473588,0.00030522497,0.076507494,0.0007117976,0.00018035177,0.019953853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99651474,0.00010376662,0.00089924654,0.0012951798,0.00047084026,0.00071621325],"domain_scores_gemma":[0.9972733,0.0002644333,0.0006195251,0.001624641,0.00010825393,0.00010979482],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198751,0.0006430128,0.0006198324,0.00013215179,0.00051049836,0.00016651805,0.0014255908,0.00063609506,0.0015309562],"category_scores_gemma":[0.00029791717,0.0005484885,0.00035318063,0.00027247777,0.00012059289,0.00009727038,0.0022011097,0.0019110915,0.000012196462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010412673,0.00020166802,0.000018153552,0.0007487756,0.000057224675,0.000004503426,0.00016975623,0.0003326244,0.98749226,0.006019676,0.00035425182,0.0044969874],"study_design_scores_gemma":[0.00046063468,0.00003137465,0.0000059320773,0.0004242944,0.000021646687,0.000004822884,0.0001998802,0.002379402,0.9488044,0.032400507,0.014525767,0.0007413432],"about_ca_topic_score_codex":0.00029043245,"about_ca_topic_score_gemma":0.0000982728,"teacher_disagreement_score":0.41467142,"about_ca_system_score_codex":0.0007832081,"about_ca_system_score_gemma":0.0003197786,"threshold_uncertainty_score":0.9996967},"labels":[],"label_agreement":null},{"id":"W4313119035","doi":"10.1016/b978-0-12-821618-7.10070-7","title":"Mass Spectrometry-based Methodologies for Studying Proteolytic Networks and the Degradome","year":2016,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteases; Protease; Computational biology; Proteolysis; Biochemistry; Chemistry; Biology; Enzyme","score_opus":0.04175942678807766,"score_gpt":0.29915120081553337,"score_spread":0.2573917740274557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313119035","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006633814,0.0013039312,0.3564679,0.00030621208,0.000030708656,0.0020523726,0.00006404713,0.00020425515,0.6395639],"genre_scores_gemma":[0.0006295703,0.00022340451,0.32279262,0.0001554614,0.0003606159,0.0030064997,0.000013595687,0.0001278033,0.67269045],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984885,0.000023847771,0.00043102817,0.0005542212,0.00015594873,0.0003464606],"domain_scores_gemma":[0.9974232,0.001196559,0.00043771675,0.00079123693,0.000083930325,0.00006737628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060330913,0.0004434819,0.00063718646,0.0000699309,0.0002803641,0.000060982125,0.00043437057,0.00038302466,0.00006783921],"category_scores_gemma":[0.000080681566,0.00027384007,0.00027857756,0.000012855346,0.00048987137,0.000021428681,0.00013409996,0.0005211648,0.0000035773178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019396267,0.000003955296,0.0000030237004,0.00023556255,0.00015349216,0.0000022419688,0.00002003051,0.000008116839,0.0030124134,0.15690349,0.000019594157,0.8394441],"study_design_scores_gemma":[0.0015150403,0.000042928634,3.4655494e-7,0.00052074407,0.0002593719,0.0000074599297,0.000009952025,0.0002506128,0.007297787,0.74973994,0.23979847,0.0005573244],"about_ca_topic_score_codex":1.5105462e-7,"about_ca_topic_score_gemma":9.5234043e-7,"teacher_disagreement_score":0.8388868,"about_ca_system_score_codex":0.00010046275,"about_ca_system_score_gemma":0.00005434542,"threshold_uncertainty_score":0.9999714},"labels":[],"label_agreement":null},{"id":"W4313446304","doi":"10.1007/978-1-0716-2914-7_16","title":"Proteomic Assessment of the Murine Mammary Gland Extracellular Matrix","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; McGill University; Research Manitoba; Jewish General Hospital","funders":"","keywords":"Extracellular matrix; Cell biology; Tumor microenvironment; Context (archaeology); Glycoprotein; Metastasis; Chemistry; Biology; Matrix (chemical analysis); Cancer; Cancer research; Biochemistry; Tumor cells","score_opus":0.01937633836649757,"score_gpt":0.42062687129275195,"score_spread":0.4012505329262544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313446304","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10465478,0.00016379307,0.89336807,0.00038026244,0.000027023349,0.00028370554,0.000012699498,0.00007517287,0.0010344974],"genre_scores_gemma":[0.024175126,0.00007648635,0.9745477,0.00001953242,0.000014821534,0.000406457,0.00002087656,0.000017980488,0.0007210642],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901956,0.0001844991,0.0002869452,0.00025805156,0.000053569627,0.00019735769],"domain_scores_gemma":[0.9991291,0.00007488803,0.0001334441,0.00061786926,0.00002286732,0.000021817095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006140213,0.00011048517,0.0001923044,0.000061585706,0.000036120844,0.000004429906,0.0004262509,0.00015664363,0.00004292633],"category_scores_gemma":[0.000080632286,0.0000855091,0.00008711293,0.0003276239,0.00008810836,0.000011656189,0.00030414562,0.0002545144,0.000001434339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026537102,0.00002094913,0.0034077982,0.000038224003,0.000009154395,0.000004561396,0.0000072373514,0.00009705287,0.9545628,0.03826442,0.0000073764445,0.0035777814],"study_design_scores_gemma":[0.00017537776,0.000011448861,0.00045301585,0.000016929731,0.0000060158145,0.0000061938194,0.0000053057684,0.002130095,0.911295,0.08215229,0.003655551,0.00009279819],"about_ca_topic_score_codex":0.00001591399,"about_ca_topic_score_gemma":6.512964e-7,"teacher_disagreement_score":0.0811796,"about_ca_system_score_codex":0.000036254547,"about_ca_system_score_gemma":0.00004109832,"threshold_uncertainty_score":0.34869596},"labels":[],"label_agreement":null},{"id":"W4315926898","doi":"10.1016/j.xpro.2022.102012","title":"Tandem mass tag-based thermal proteome profiling for the discovery of drug-protein interactions in cancer cells","year":2023,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"BC Cancer Foundation; Terry Fox Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Effector; Proteome; Computational biology; Shotgun proteomics; Drug discovery; Proteomics; Prioritization; Human proteome project; Chemistry; Computer science; Bioinformatics; Biology; Biochemistry; Gene","score_opus":0.03731166431641767,"score_gpt":0.3641250930158297,"score_spread":0.326813428699412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315926898","genre_codex":"empirical","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47968832,0.00003158508,0.12104192,0.0023018746,0.000053228712,0.39376846,0.0014841766,0.0005842855,0.001046165],"genre_scores_gemma":[0.26426256,0.0000020447594,0.01589757,0.000021882632,0.00007952338,0.7183754,0.00002650187,0.000039258706,0.0012952504],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988803,0.000018885687,0.00037504404,0.0002835113,0.00015184518,0.00029036566],"domain_scores_gemma":[0.9990528,0.00015895875,0.00023875017,0.0004428573,0.00007843797,0.000028189443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025636636,0.00015989698,0.00019142055,0.000061304076,0.0001358091,0.000038517086,0.0003367016,0.00005418697,0.000082257226],"category_scores_gemma":[0.00003359063,0.00012189904,0.00010973368,0.00031609615,0.000076372526,0.00014329684,0.00005800217,0.00026682726,0.0000040745076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106655156,0.00006295559,0.00063723366,0.00035871242,0.000012577449,5.8321194e-7,0.00006215767,0.0021536965,0.99502665,0.0006643398,0.00007949468,0.00083493],"study_design_scores_gemma":[0.000562816,0.000020251497,0.000049134745,0.00037787753,0.000006649918,8.687543e-8,0.00013393998,0.0053208824,0.98404807,0.004284429,0.0050469297,0.00014894175],"about_ca_topic_score_codex":0.00010744303,"about_ca_topic_score_gemma":0.000050734743,"teacher_disagreement_score":0.32460696,"about_ca_system_score_codex":0.00011409742,"about_ca_system_score_gemma":0.00016308099,"threshold_uncertainty_score":0.49708986},"labels":[],"label_agreement":null},{"id":"W4316507595","doi":"10.1038/s44161-022-00200-y","title":"Surfaceome mapping of primary human heart cells with CellSurfer uncovers cardiomyocyte surface protein LSMEM2 and proteome dynamics in failing hearts","year":2023,"lang":"en","type":"article","venue":"Nature Cardiovascular Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; Fred and Pamela Buffett Cancer Center; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; Maryland Stem Cell Research Fund; Medical College of Wisconsin; American Heart Association; University of Nebraska Medical Center; National Center for Research Resources; National Institute of General Medical Sciences","keywords":"Proteome; Cell; Induced pluripotent stem cell; Biology; Cell biology; Flow cytometry; Cell type; Glycoprotein; Monoclonal antibody; In vivo; Cluster of differentiation; Computational biology; Antibody; Molecular biology; Bioinformatics; Immunology; Biochemistry; Embryonic stem cell; Genetics","score_opus":0.02507900580009259,"score_gpt":0.301500295064889,"score_spread":0.2764212892647964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316507595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219275,0.001982982,0.00073296635,0.000191595,0.000014801306,0.0019596354,0.00007374284,0.0001947543,0.0026567641],"genre_scores_gemma":[0.9852673,0.0002700521,0.012992401,0.000009045349,0.00005510843,0.00035530175,0.00010246588,0.00010028187,0.0008480336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963968,0.00019418263,0.00039116715,0.0008638885,0.0013708338,0.0007831755],"domain_scores_gemma":[0.9980297,0.00013460309,0.00007295855,0.0012125166,0.00039901386,0.00015117224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029980193,0.000295154,0.0007715611,0.0003513832,0.00026839742,0.00007077817,0.00036638326,0.00053362024,0.000010904878],"category_scores_gemma":[0.0000604669,0.00028490942,0.00032450169,0.0018119628,0.00031913756,0.00015974017,0.00040255504,0.0022766266,0.000007573756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008995586,0.00005566959,0.004115594,0.0017510037,0.000347477,0.00011115291,0.00014738485,0.013976086,0.97817713,0.00038365778,0.00012598535,0.00071893143],"study_design_scores_gemma":[0.001453586,0.000082340775,0.00093189185,0.0008013519,0.00003832216,0.000034708457,0.00084927666,0.0014756004,0.9759902,0.0011262225,0.016568732,0.00064780057],"about_ca_topic_score_codex":0.0003864853,"about_ca_topic_score_gemma":0.000043244574,"teacher_disagreement_score":0.016442746,"about_ca_system_score_codex":0.00063846505,"about_ca_system_score_gemma":0.00019103575,"threshold_uncertainty_score":0.9999603},"labels":[],"label_agreement":null},{"id":"W4317655867","doi":"10.1101/2023.01.20.524983","title":"High sensitivity proteome-scale search for crosslinked peptides using CRIMP 2.0","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Proteome; Computer science; Crimp; Sensitivity (control systems); Software; Mass spectrometry; Component (thermodynamics); Biological system; Upgrade; Algorithm; Data mining; Chemistry; Programming language; Chromatography; Physics; Engineering; Biology; Operating system","score_opus":0.0410157539342403,"score_gpt":0.29264894230536886,"score_spread":0.2516331883711286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317655867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81382275,0.00005502378,0.1804723,0.0002021192,0.00020180325,0.0018139111,0.0018194122,0.0016075866,0.000005120563],"genre_scores_gemma":[0.75810146,0.000062625826,0.23863,0.000044670607,0.00076179684,0.0020465022,0.0000037559616,0.00031339572,0.00003579097],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99647856,0.000053305084,0.00067559106,0.0015159028,0.00038783022,0.0008888095],"domain_scores_gemma":[0.99633414,0.00018819276,0.00046613818,0.0019048218,0.0008217208,0.00028497522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008370506,0.0006852289,0.00074819895,0.00018567643,0.0005378526,0.00023909498,0.00056931755,0.000904311,0.000029391607],"category_scores_gemma":[0.00012903073,0.00080826686,0.0003139778,0.0003806786,0.00023528382,0.00014518226,0.00094290124,0.0012128284,0.00003545274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004314697,0.00009940824,0.001210413,0.0012268964,0.00007843349,0.0000137851675,0.000007317879,0.0012286898,0.9953073,0.0007109619,0.000071830844,0.0000018168741],"study_design_scores_gemma":[0.00036894888,0.000015883796,0.001465444,0.00049631717,0.0000916765,3.2855258e-8,0.0000048629204,0.004735723,0.99110866,0.00006993125,0.0007558459,0.00088668475],"about_ca_topic_score_codex":0.00033278455,"about_ca_topic_score_gemma":0.000006807066,"teacher_disagreement_score":0.058157697,"about_ca_system_score_codex":0.0005528175,"about_ca_system_score_gemma":0.00059085607,"threshold_uncertainty_score":0.9994368},"labels":[],"label_agreement":null},{"id":"W4317811062","doi":"10.3390/cancers15030686","title":"Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; Pancreas Centre (Canada); University of British Columbia","funders":"","keywords":"Pancreatic cancer; Pancreatic ductal adenocarcinoma; MALDI imaging; Adenocarcinoma; Medicine; Mass spectrometry imaging; Computer science; Artificial intelligence; Cancer; Matrix-assisted laser desorption/ionization; Oncology; Internal medicine; Mass spectrometry; Chemistry; Desorption","score_opus":0.01880945472338067,"score_gpt":0.26967676090335174,"score_spread":0.25086730617997105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317811062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94146806,0.00019863868,0.057070028,0.000090112226,0.000025881658,0.00014385591,0.000016780707,0.00020638635,0.0007802402],"genre_scores_gemma":[0.9843021,0.000058689395,0.015271251,0.000018110064,0.000084566345,0.000081353246,0.000052171377,0.000034602712,0.000097137614],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992326,0.0000061759156,0.00018287264,0.00023813688,0.00010816978,0.00023204404],"domain_scores_gemma":[0.9993933,0.000029945824,0.00016517122,0.0003128945,0.000046592184,0.000052127474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044571396,0.000120480385,0.00015993766,0.00006431123,0.00008406727,0.000015009489,0.00015214656,0.000042716212,0.00005448698],"category_scores_gemma":[0.0000069758294,0.00011884555,0.00004098406,0.00049515313,0.000103726845,0.00007867436,0.00002708468,0.00015325724,0.0000013963509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012545592,0.000007822616,0.15326759,0.000112326896,0.000045411805,0.000014812371,0.000058550475,0.03539025,0.8087099,0.0017223564,0.00013073729,0.0004147535],"study_design_scores_gemma":[0.00048176348,0.00003591764,0.009875364,0.000092449845,0.00007616128,0.00002339727,0.00052176474,0.91744006,0.0699951,0.0011483105,0.000041111663,0.00026862492],"about_ca_topic_score_codex":0.0000609726,"about_ca_topic_score_gemma":0.0000023852606,"teacher_disagreement_score":0.8820498,"about_ca_system_score_codex":0.0004561052,"about_ca_system_score_gemma":0.000077287536,"threshold_uncertainty_score":0.48463807},"labels":[],"label_agreement":null},{"id":"W4317938568","doi":"10.1016/j.xpro.2023.102059","title":"Identification of newly translated thermo-sensitive proteins using pulse SILAC mass spectrometry and the GAL promoter system","year":2023,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Deutsche Forschungsgemeinschaft; Michael Smith Health Research BC","keywords":"Stable isotope labeling by amino acids in cell culture; Mass spectrometry; Chemistry; Computational biology; Proteome; Proteomics; Biochemistry; Biology; Chromatography; Gene","score_opus":0.020295377329477268,"score_gpt":0.3059743798301265,"score_spread":0.2856790025006492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317938568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7222104,0.000019566984,0.12608437,0.00043984354,0.000011386834,0.14894308,0.00027100494,0.0006631281,0.0013572142],"genre_scores_gemma":[0.8861498,0.0000024721062,0.014495861,0.0000061612664,0.000055370125,0.09900062,0.00001909953,0.00004225902,0.00022832409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881166,0.000053343763,0.00042790474,0.00029838108,0.00019424049,0.0002144733],"domain_scores_gemma":[0.99907476,0.00004646483,0.00028843107,0.00044376295,0.0001070298,0.000039550636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004421666,0.00015496912,0.00023313181,0.00006356079,0.00015795254,0.000046910594,0.00017791119,0.0001052433,0.000023620156],"category_scores_gemma":[0.00002492554,0.000116138806,0.00007303717,0.00038901356,0.00017420597,0.000089269015,0.00003911192,0.00019679395,0.000006109407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016982676,0.0000219804,0.00003802855,0.00046408008,0.00002846202,0.0000028796999,0.00048179628,0.000019784813,0.9953714,0.0028717218,0.0000040109726,0.0005260449],"study_design_scores_gemma":[0.0009748501,0.00002539477,0.00007440359,0.00026614545,0.000023993147,0.000010817967,0.00032971596,0.0119034825,0.9818634,0.004285402,0.00010075728,0.00014168522],"about_ca_topic_score_codex":0.000034841065,"about_ca_topic_score_gemma":0.000001546971,"teacher_disagreement_score":0.16393945,"about_ca_system_score_codex":0.00006606882,"about_ca_system_score_gemma":0.00004327178,"threshold_uncertainty_score":0.4736003},"labels":[],"label_agreement":null},{"id":"W4318753623","doi":"10.1021/acs.analchem.2c04264","title":"ASAP─Automated Sonication-Free Acid-Assisted Proteomes─from Cells and FFPE Tissues","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Cuccione Foundation; University of British Columbia; Mitacs; Canada Research Chairs; BC Children's Hospital; Michael Smith Health Research BC; BC Children’s Hospital Foundation; Children's Hospital Foundation","keywords":"Proteome; Workflow; Chemistry; Sample preparation; Sonication; Proteomics; Pipeline (software); Computational biology; Chromatography; Computer science; Database; Biochemistry; Biology","score_opus":0.016705986631941526,"score_gpt":0.2964341212854215,"score_spread":0.27972813465348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318753623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631777,0.00024226986,0.0013020721,0.0026663726,0.000015769696,0.00030627393,0.00043323662,0.0045776847,0.02727863],"genre_scores_gemma":[0.97362417,0.00025436986,0.015934987,0.000093038776,0.0002129989,0.00035998737,0.00051115936,0.00007242336,0.008936874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985089,0.0000060473953,0.00035031536,0.00056090974,0.0002252289,0.00034860804],"domain_scores_gemma":[0.9985222,0.00010982966,0.00011851397,0.0009593409,0.00007829418,0.00021182206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000080378515,0.00023431356,0.0002660224,0.000023930934,0.00014445436,0.00007530747,0.00046382312,0.00027749653,0.0011872087],"category_scores_gemma":[0.00014884047,0.00023856264,0.00008085124,0.00033519338,0.00016607449,0.0000703502,0.00030511146,0.00029777718,0.00015730066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010035345,0.00005758766,0.0005588196,0.00012262947,0.000054319582,0.00001323193,0.000026182728,0.000006412811,0.98860323,0.0002657929,0.009067359,0.0012144069],"study_design_scores_gemma":[0.00031442166,0.0000048946795,0.0002763982,0.000054340693,0.00005532829,0.0000052442765,0.00006401495,0.013662726,0.966415,0.006148916,0.012694625,0.00030408765],"about_ca_topic_score_codex":0.000046813304,"about_ca_topic_score_gemma":0.0000015002416,"teacher_disagreement_score":0.022188218,"about_ca_system_score_codex":0.00006659725,"about_ca_system_score_gemma":0.000048604114,"threshold_uncertainty_score":0.9997258},"labels":[],"label_agreement":null},{"id":"W4318957093","doi":"10.1101/2023.01.30.526204","title":"midiaPASEF maximizes information content in data-independent acquisition proteomics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"Bundesministerium für Bildung und Forschung; Johannes Gutenberg-Universität Mainz; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Pipeline (software); Ion-mobility spectrometry; Fragment (logic); Deconvolution; Population; Ion; Data mining; Mass spectrometry; Algorithm; Chemistry; Operating system; Chromatography","score_opus":0.04476842524738932,"score_gpt":0.25843919775241353,"score_spread":0.2136707725050242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318957093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89091104,0.00031141742,0.09415491,0.0012743835,0.0005120868,0.003330444,0.0068196133,0.0026213997,0.00006471075],"genre_scores_gemma":[0.8992625,0.00080119615,0.0957942,0.00020630777,0.0003493129,0.0033236758,0.00007466019,0.00016562894,0.000022524988],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99722224,0.00003280961,0.0009321562,0.000908247,0.00040273592,0.0005018015],"domain_scores_gemma":[0.9960985,0.000050497616,0.0007115685,0.0026474355,0.00032408844,0.0001678863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005787968,0.0005023416,0.0004943433,0.0002710321,0.00013025923,0.0002703949,0.0012695655,0.0007247572,0.00007586286],"category_scores_gemma":[0.00017536205,0.00058632594,0.00010066811,0.0002986789,0.00007516894,0.00051339273,0.0016153798,0.001092186,0.00016051451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092908485,0.0001980865,0.0031381627,0.0011840217,0.000097609925,0.00002902964,0.000016118607,0.00056703144,0.9918396,0.0019693624,0.00085679727,0.000011273339],"study_design_scores_gemma":[0.00092044956,0.000013650233,0.0069729793,0.0008950734,0.00007711451,3.3889517e-8,0.000016997536,0.004757208,0.9774871,0.00013383398,0.007596769,0.0011288251],"about_ca_topic_score_codex":0.00024000873,"about_ca_topic_score_gemma":0.000011434903,"teacher_disagreement_score":0.014352532,"about_ca_system_score_codex":0.00057963305,"about_ca_system_score_gemma":0.00035006047,"threshold_uncertainty_score":0.9996588},"labels":[],"label_agreement":null},{"id":"W4319336362","doi":"10.3791/64830","title":"Tips And Tricks for Proteome Sample Preparation","year":2023,"lang":"en","type":"editorial","venue":"Journal of Visualized Experiments","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass spectrometry; Proteome; Chromatography; Proteomics; Shotgun proteomics; Chemistry; Sample preparation; Analytical Chemistry (journal); Biochemistry","score_opus":0.033608018557117945,"score_gpt":0.47240044112125995,"score_spread":0.438792422564142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319336362","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004906153,0.0023741517,0.41345915,0.00013567931,0.5732555,0.0029007918,0.00196654,0.00040555547,0.0005964691],"genre_scores_gemma":[0.00051567174,0.0021598348,0.23554775,0.00001930744,0.75481063,0.00225764,0.00085658155,0.00027961863,0.0035529633],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982759,0.000016540962,0.00077043043,0.00026378778,0.00045565446,0.0002177386],"domain_scores_gemma":[0.9973505,0.0007120918,0.0012126934,0.00022984791,0.0003814086,0.00011345551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086047,0.0002481383,0.0005148145,0.00012205858,0.00012441745,0.000081708924,0.00026453505,0.00052176876,0.000049250644],"category_scores_gemma":[0.0010596957,0.00023077875,0.0001839431,0.00009096613,0.000036150028,0.00013762702,0.00007666973,0.00040809243,0.0000026676241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006708848,0.00012161259,0.0000020029233,0.00021588884,0.00012415134,0.00000208662,0.00022545908,0.0000014537482,0.09108779,0.000072413,0.906649,0.0008272456],"study_design_scores_gemma":[0.0013645648,0.00018516018,7.7219696e-8,0.0001830149,0.000054580985,0.0000031392367,0.0000513026,0.00005504945,0.22635551,0.002783538,0.76877725,0.00018680736],"about_ca_topic_score_codex":0.000012424463,"about_ca_topic_score_gemma":5.0086476e-7,"teacher_disagreement_score":0.18155512,"about_ca_system_score_codex":0.00017607691,"about_ca_system_score_gemma":0.00017390666,"threshold_uncertainty_score":0.94108844},"labels":[],"label_agreement":null},{"id":"W4319600886","doi":"10.3390/cancers15041051","title":"A Novel Blood Proteomic Signature for Prostate Cancer","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation","funders":"Blood Cancer UK; Medical Research Council; Bloodwise; Punjab Educational Endowment Fund; Cancer Research UK","keywords":"Prostate cancer; Medicine; Prostate; Oncology; Cancer; Internal medicine; Proteomics; Bioinformatics; Computational biology; Biology","score_opus":0.015533982228703835,"score_gpt":0.29732785879117035,"score_spread":0.2817938765624665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319600886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494266,0.0009061575,0.03054136,0.0028401555,0.0002228601,0.0038608722,0.004633151,0.002440095,0.0051287333],"genre_scores_gemma":[0.71956897,0.0024070733,0.11232352,0.0010347231,0.0014283286,0.08494358,0.0008925342,0.00036831078,0.077032946],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920535,0.0000010485257,0.0001311808,0.00030195748,0.00007572497,0.00028475458],"domain_scores_gemma":[0.99953115,0.000021298361,0.00008322397,0.00024255463,0.0000613414,0.000060433613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043568165,0.0001244297,0.00011757095,0.000030603143,0.00012003089,0.000017544278,0.00016245128,0.00010140577,0.00014380348],"category_scores_gemma":[0.000017456085,0.00012366711,0.00006619757,0.00021704179,0.000045517085,0.000047347286,0.000036423324,0.00015547367,0.000008784485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032613843,0.000006989669,0.00007735488,0.00014212528,0.000028480708,6.804306e-7,0.00008566799,0.0023290021,0.98661786,0.00061375176,0.0055621094,0.0045033814],"study_design_scores_gemma":[0.00068250566,0.00001544236,0.00001057982,0.000080255704,0.00003126041,0.0000016673047,0.00005458596,0.0017198108,0.9178692,0.002862515,0.07645119,0.0002209545],"about_ca_topic_score_codex":0.00014117963,"about_ca_topic_score_gemma":0.000032602715,"teacher_disagreement_score":0.22985764,"about_ca_system_score_codex":0.00033002236,"about_ca_system_score_gemma":0.00030105692,"threshold_uncertainty_score":0.5042998},"labels":[],"label_agreement":null},{"id":"W4320030516","doi":"10.1089/ipm.09.06.04","title":"Untangling the Complexities of Single Cell Protein Analysis","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Download; Library science; Medicine; Family medicine; Computer science; World Wide Web","score_opus":0.03476849521877596,"score_gpt":0.29248069921183384,"score_spread":0.2577122039930579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320030516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8884797,0.00092749303,0.06098306,0.0022460513,0.000031279378,0.0004377282,0.000071946575,0.00014170862,0.04668101],"genre_scores_gemma":[0.9861192,0.000012389172,0.012224159,0.00012142398,0.000065698114,0.00022758264,0.000039881605,0.000012796695,0.0011768749],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989515,0.00003036131,0.00036401683,0.00018441796,0.00035797624,0.00011174458],"domain_scores_gemma":[0.9989223,0.00022321753,0.00024260931,0.00050760567,0.00007203648,0.000032215707],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029506072,0.000091800684,0.0002260937,0.00009887908,0.00024245355,0.000004768236,0.00033947616,0.000025005524,0.0025809768],"category_scores_gemma":[0.00007865808,0.0000637687,0.00007823301,0.0005504909,0.00013319452,0.000024231147,0.00022686372,0.00022376307,0.0000013168584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045452714,0.00009865253,0.00031885694,0.000031280033,0.000051993782,0.0000026732455,0.00069948373,0.0024788557,0.98839444,0.0033054983,0.0007364171,0.0038363773],"study_design_scores_gemma":[0.00042615214,0.00012315578,0.00005510048,0.00005670402,0.00020050525,0.0000060755515,0.0029556036,0.002400287,0.89178723,0.058352113,0.043487463,0.00014959023],"about_ca_topic_score_codex":0.00012056266,"about_ca_topic_score_gemma":0.000009933995,"teacher_disagreement_score":0.09763947,"about_ca_system_score_codex":0.000057752197,"about_ca_system_score_gemma":0.00001666993,"threshold_uncertainty_score":0.9983308},"labels":[],"label_agreement":null},{"id":"W4320155419","doi":"10.21272/jes.2022.9(2).e2","title":"Optimization of Machine Learning Algorithms for Proteomic Analysis Using TOPSIS","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Machine learning; Ranking (information retrieval); Computer science; Artificial intelligence; Classifier (UML); Fuzzy logic; Algorithm; Data mining; Artificial neural network","score_opus":0.01900518476861483,"score_gpt":0.2901248035159173,"score_spread":0.27111961874730245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320155419","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24017785,0.00008343634,0.7596069,0.000031618267,0.000016598622,0.000042627227,0.000009343347,0.000010645235,0.000020974234],"genre_scores_gemma":[0.46591187,0.000010818075,0.5340168,0.0000015306007,0.00002344516,0.000011505768,0.0000015548591,0.0000041061303,0.000018399547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994123,0.0000044705944,0.00025444597,0.00007644333,0.00016704513,0.00008531378],"domain_scores_gemma":[0.9994777,0.000041632706,0.00033717754,0.00005307572,0.000067948204,0.000022492399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003799209,0.000050262963,0.00014237556,0.00019762017,0.00016190113,0.000013521011,0.00019853211,0.000014325348,0.00006735533],"category_scores_gemma":[0.000063661144,0.00004722917,0.00010946631,0.00056595996,0.00002094102,0.000088366774,0.000035050158,0.00012689347,9.643254e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033881383,0.0000107527185,0.00040600853,0.000011764792,0.000030655898,1.953867e-7,0.00003149705,0.8764847,0.12271065,0.00007937,8.6415196e-7,0.000230165],"study_design_scores_gemma":[0.00007252571,0.000047880316,0.000006658048,0.000008580498,0.000068829824,0.000010799613,0.000056919584,0.9158705,0.083578765,0.00007260715,0.00015657945,0.00004936247],"about_ca_topic_score_codex":0.0000076502665,"about_ca_topic_score_gemma":9.637211e-8,"teacher_disagreement_score":0.22573403,"about_ca_system_score_codex":0.000055472276,"about_ca_system_score_gemma":0.00003429539,"threshold_uncertainty_score":0.19259496},"labels":[],"label_agreement":null},{"id":"W4320489091","doi":"10.1007/978-1-0716-2978-9_23","title":"Offline Peptide Fractionation and Parallel Reaction Monitoring MS for the Quantitation of Low-Abundance Plasma Proteins","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; McGill University; Research Manitoba; Jewish General Hospital","funders":"","keywords":"Chemistry; Chromatography; Fractionation; Mass spectrometry; Context (archaeology); Peptide; Quantitative proteomics; Selected reaction monitoring; Standard curve; Quantitative analysis (chemistry); Blood proteins; Analytical Chemistry (journal); Tandem mass spectrometry; Proteomics; Biochemistry","score_opus":0.04128214952407488,"score_gpt":0.4317429159480339,"score_spread":0.390460766423959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320489091","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13874191,0.000078008154,0.8604749,0.00022543586,0.000035983103,0.00031003088,0.000008316971,0.00004480193,0.00008062072],"genre_scores_gemma":[0.08069899,0.00021155183,0.91823304,0.0000067618366,0.000040303137,0.0006917066,0.000036910395,0.0000126867,0.00006807013],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994018,0.000044638688,0.00022263362,0.00018192893,0.000037115315,0.000111876456],"domain_scores_gemma":[0.99908954,0.00052137073,0.00015757157,0.00016060556,0.000058729314,0.000012172414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065426435,0.00007038402,0.00010597388,0.000057915688,0.000064331725,0.000004418456,0.00008045873,0.000107949054,0.0000018498532],"category_scores_gemma":[0.00041302963,0.000061538856,0.000032742395,0.00015895131,0.000054894725,0.000029472869,0.000030055706,0.000117201525,4.034714e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035109926,0.00001227637,0.00058820995,0.000043528064,0.0000088271745,1.8897312e-7,0.000034999404,0.0004561817,0.9678895,0.009736809,0.0000018967216,0.021192463],"study_design_scores_gemma":[0.00019887436,0.000022891816,0.00083054346,0.000025429825,0.0000072004714,0.0000016466091,0.00008678888,0.008352969,0.94685036,0.041998763,0.001559247,0.00006527197],"about_ca_topic_score_codex":0.000034236356,"about_ca_topic_score_gemma":0.0000070482465,"teacher_disagreement_score":0.05804292,"about_ca_system_score_codex":0.000030152061,"about_ca_system_score_gemma":0.000011213485,"threshold_uncertainty_score":0.25094816},"labels":[],"label_agreement":null},{"id":"W4320489218","doi":"10.1007/978-1-0716-2978-9_32","title":"Bioinformatics Tools and Knowledgebases to Assist Generating Targeted Assays for Plasma Proteomics","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; University of Victoria","funders":"","keywords":"Proteomics; Proteome; Computer science; Computational biology; Human proteome project; Bioinformatics; Biology","score_opus":0.04399106683932834,"score_gpt":0.41253661950259535,"score_spread":0.368545552663267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320489218","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05772287,0.000038200775,0.9406213,0.00019685077,0.000029452698,0.00056757877,0.00014464898,0.00015689159,0.00052218826],"genre_scores_gemma":[0.00097200106,0.000020788439,0.9967238,0.0001501809,0.000037802303,0.0017730562,0.00018221914,0.000028134282,0.000112046335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989735,0.00006643398,0.00034777008,0.00028298114,0.000031926127,0.00029739898],"domain_scores_gemma":[0.99914217,0.00037000328,0.00009539227,0.00027237184,0.0000564854,0.00006357688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006525228,0.0001515218,0.00023578524,0.0001178252,0.000096632124,0.000029376868,0.00017473151,0.00019593963,0.000008892983],"category_scores_gemma":[0.0012430919,0.00015073764,0.000050480285,0.00028516297,0.000054853073,0.000029581164,0.00017718009,0.00015033214,0.000004004386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001034874,0.000010950124,0.00023773011,0.00005907622,0.000009431198,9.839451e-7,0.000055692246,0.00019109323,0.913818,0.006281993,0.00005102033,0.07927368],"study_design_scores_gemma":[0.00022427212,0.000040431707,0.000010764666,0.000020378542,0.000007072364,0.0000036765707,0.00005060189,0.05875978,0.91876924,0.015543861,0.0063814567,0.0001884444],"about_ca_topic_score_codex":0.0000033573444,"about_ca_topic_score_gemma":0.000003629217,"teacher_disagreement_score":0.07908523,"about_ca_system_score_codex":0.000043229,"about_ca_system_score_gemma":0.00003178928,"threshold_uncertainty_score":0.6146903},"labels":[],"label_agreement":null},{"id":"W4320489390","doi":"10.1007/978-1-0716-2978-9_27","title":"Absolute Quantitative Targeted Proteomics Assays for Plasma Proteins","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; University of Victoria","funders":"","keywords":"Proteomics; Quantitative proteomics; Blood proteins; Chemistry; Selected reaction monitoring; Mass spectrometry; Computational biology; Biomarker discovery; Chromatography; Bioinformatics; Tandem mass spectrometry; Biology; Biochemistry","score_opus":0.04474488212987578,"score_gpt":0.43475020027869155,"score_spread":0.3900053181488158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320489390","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01897217,0.000043415144,0.9777941,0.00034634265,0.000035391946,0.0014148271,0.000118291464,0.00028379922,0.0009916249],"genre_scores_gemma":[0.0009895883,0.000032927666,0.9901608,0.00006703507,0.000024565994,0.008190866,0.00017948824,0.000047538153,0.00030717388],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861735,0.00013610946,0.0003366736,0.00046370688,0.000045160024,0.00040099205],"domain_scores_gemma":[0.99903864,0.00032093746,0.00014393817,0.00038085465,0.000068753034,0.000046859157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008083024,0.00017951755,0.00027910128,0.00013006908,0.000080544305,0.000010454945,0.00030039312,0.00029216343,0.000028469349],"category_scores_gemma":[0.0007516587,0.0001814821,0.000106919615,0.00037792532,0.00010939803,0.000022762611,0.00012871172,0.00026416048,0.000011133862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040045332,0.000024663714,0.00004894069,0.00004147519,0.000019620102,0.0000034230645,0.00004288318,0.00011569526,0.9197058,0.073048875,0.000034084453,0.006874499],"study_design_scores_gemma":[0.0003040344,0.000056909437,0.000006241766,0.000013702546,0.000006367119,0.0000020909417,0.00003405183,0.012678375,0.78679705,0.19066802,0.009255851,0.00017732347],"about_ca_topic_score_codex":0.000014167063,"about_ca_topic_score_gemma":0.0000050113013,"teacher_disagreement_score":0.13290875,"about_ca_system_score_codex":0.00006212426,"about_ca_system_score_gemma":0.000045590106,"threshold_uncertainty_score":0.74006253},"labels":[],"label_agreement":null},{"id":"W4321497291","doi":"10.3390/ijms24054283","title":"Inter-Regional Proteomic Profiling of the Human Brain Using an Optimized Protein Extraction Method from Formalin-Fixed Tissue to Identify Signaling Pathways","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Motor Neurone Disease Research Australia; Medical Research Council; Medical Research Council Canada; Macquarie University; Motor Neurone Disease Australia","keywords":"Proteomics; Biology; Human brain; Protein purification; Quantitative proteomics; Biological pathway; Biochemistry; Computational biology; Cell biology; Chemistry; Gene; Gene expression; Neuroscience","score_opus":0.06347189686461163,"score_gpt":0.41365789913268325,"score_spread":0.3501860022680716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321497291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6093933,0.000014415612,0.38962653,0.00067083107,0.000060523314,0.00017577481,0.000013735498,0.000018482584,0.000026389138],"genre_scores_gemma":[0.62377477,0.0000013529982,0.3760097,0.000060365735,0.00009769428,0.000028141636,0.0000061816163,0.000010086405,0.000011722113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982218,0.00007754517,0.00058868143,0.0002288265,0.0007276423,0.00015551798],"domain_scores_gemma":[0.99853647,0.000067502035,0.00076341827,0.00017242748,0.00039142856,0.0000687857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002205,0.00012049819,0.00016782206,0.00020161907,0.0001818826,0.00011295525,0.0011308372,0.00006558984,0.00003603477],"category_scores_gemma":[0.0001400694,0.000095301286,0.00013717331,0.00030548841,0.00010132958,0.00038125264,0.00017413915,0.00023374723,0.0000013193466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028122424,0.00004452834,0.000087017615,0.0000061543415,0.000033558714,0.000010357639,0.00017964016,0.018326372,0.9783058,0.0014106517,0.000004350777,0.0015634191],"study_design_scores_gemma":[0.00024553508,0.000043437558,0.00004546979,0.00024779385,0.0000136824865,0.000033692944,0.00023874136,0.0070813685,0.9741803,0.017692175,0.00007426894,0.00010358135],"about_ca_topic_score_codex":0.00010306317,"about_ca_topic_score_gemma":0.0000029614423,"teacher_disagreement_score":0.016281523,"about_ca_system_score_codex":0.00009418202,"about_ca_system_score_gemma":0.00013978333,"threshold_uncertainty_score":0.38862735},"labels":[],"label_agreement":null},{"id":"W4321607164","doi":"10.1101/2023.02.22.529555","title":"Quantitative Time-Course Analysis of Osmotic and Salt Stress in <i>Arabidopsis thaliana</i> using Short Gradient Multi-CV FAIMSpro BoxCar DIA","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Arabidopsis; Seedling; Arabidopsis thaliana; Shoot; Osmotic shock; Biology; Computational biology; Botany; Horticulture; Bioinformatics; Mutant; Biochemistry","score_opus":0.03304803407847248,"score_gpt":0.29054752427556374,"score_spread":0.2574994901970913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321607164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97993875,0.000638454,0.016467202,0.000045424196,0.00006268629,0.00060986524,0.00192746,0.00030518518,0.000004999174],"genre_scores_gemma":[0.91461474,0.0004163682,0.08441017,0.000013784868,0.00004130635,0.0003506069,0.000006488019,0.00013723187,0.000009339046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970925,0.00005963037,0.0008382963,0.0011915534,0.00031650523,0.0005015252],"domain_scores_gemma":[0.99743974,0.00013493754,0.0005498351,0.0013472906,0.0003282763,0.00019992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000399501,0.00055897044,0.001053945,0.00053858204,0.000110554036,0.000080850965,0.0005256622,0.00049997703,0.000023121322],"category_scores_gemma":[0.00012411104,0.0006444899,0.00026280494,0.0014259592,0.00022481882,0.000110943896,0.0005461938,0.00071312,0.0000044444037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002204071,0.00031101168,0.07763947,0.00055650837,0.0008966561,0.000026688056,0.000034868768,0.0048071845,0.9153392,0.00035070992,0.000013239245,0.0000024320657],"study_design_scores_gemma":[0.00035692158,0.000024989662,0.049775846,0.0009643415,0.0019708907,1.3977777e-8,0.000037121394,0.08500044,0.86076826,0.000018191917,0.000032039345,0.0010509402],"about_ca_topic_score_codex":0.00045569486,"about_ca_topic_score_gemma":0.00006352364,"teacher_disagreement_score":0.08019326,"about_ca_system_score_codex":0.00029395966,"about_ca_system_score_gemma":0.00021096638,"threshold_uncertainty_score":0.99960065},"labels":[],"label_agreement":null},{"id":"W4322505572","doi":"10.1016/j.csbj.2023.02.047","title":"Exploring the variable space of shallow machine learning models for reversed-phase retention time prediction","year":2023,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Artificial intelligence; Convolutional neural network; Machine learning; Computer science; Deep learning; Feature (linguistics); Feature engineering; Partial least squares regression; Predictive modelling; Pattern recognition (psychology)","score_opus":0.04925559435816243,"score_gpt":0.2734498413254288,"score_spread":0.2241942469672664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322505572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65360487,0.000073896415,0.3440197,0.0018194289,0.000035850488,0.00011601063,0.00010611953,0.0001750207,0.000049101232],"genre_scores_gemma":[0.92078674,0.00029085786,0.078379035,0.000009748469,0.000073750365,0.000043492637,0.0001727747,0.000012175166,0.00023143376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994179,0.000009139073,0.00021779277,0.000137817,0.00009106185,0.00012628202],"domain_scores_gemma":[0.99955195,0.00008560236,0.0001710923,0.00007199626,0.00009294549,0.000026419377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467273,0.00008306475,0.00010874199,0.000083051316,0.00043507558,0.000019444,0.00011476883,0.00009061902,0.000022596898],"category_scores_gemma":[0.000044608703,0.000062843064,0.000046070436,0.00017265476,0.00009330012,0.00015868216,0.000054537155,0.0003376113,8.553312e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013740244,0.0000150002015,0.00012597769,0.00007446358,0.00009134985,0.0000022830593,0.00013370083,0.5035565,0.37454638,0.08659295,0.0001945877,0.034529433],"study_design_scores_gemma":[0.0003858435,0.000048669157,0.000043218253,0.000026513893,0.00001532171,0.000110179884,0.000051660223,0.7330485,0.011426835,0.2541873,0.00060183206,0.00005418022],"about_ca_topic_score_codex":0.0000026435193,"about_ca_topic_score_gemma":1.2498774e-7,"teacher_disagreement_score":0.36311954,"about_ca_system_score_codex":0.000025593397,"about_ca_system_score_gemma":0.000018531018,"threshold_uncertainty_score":0.33462936},"labels":[],"label_agreement":null},{"id":"W4323319191","doi":"10.3390/proteomes11010010","title":"Optimized Proteome Reduction for Integrative Top–Down Proteomics","year":2023,"lang":"en","type":"article","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Dithiothreitol; Reduction (mathematics); Proteomics; Protocol (science); Computer science; Chemistry; Computational biology; Biochemistry; Biology; Enzyme; Medicine; Mathematics","score_opus":0.019073859479596868,"score_gpt":0.3078943647640642,"score_spread":0.2888205052844673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323319191","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28933245,0.0001035158,0.6739689,0.0052592843,0.00018768512,0.015677128,0.00048243045,0.004945311,0.010043269],"genre_scores_gemma":[0.055226486,0.000169686,0.8614676,0.000045439447,0.00056073064,0.06684586,0.00036732154,0.00014097929,0.015175906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834263,0.0000147755445,0.00040762743,0.00057942554,0.00018203419,0.0004734947],"domain_scores_gemma":[0.9988686,0.00006114376,0.000236208,0.0005241737,0.00020620646,0.000103691105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026671682,0.00029792349,0.0003277078,0.00013928767,0.00032772918,0.00007467255,0.000353929,0.00021021793,0.00032990152],"category_scores_gemma":[0.00021067458,0.00026331554,0.00018053182,0.00043811894,0.000114336595,0.00019987691,0.000116640666,0.00031174725,0.000116485004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021855276,0.000084581145,0.000032225198,0.0002752688,0.000056056873,0.0000016212088,0.0004568631,0.00038449906,0.97953546,0.006970881,0.0024525574,0.009531426],"study_design_scores_gemma":[0.00072041864,0.000060164566,0.000006223205,0.00008676958,0.000018839575,0.00000894359,0.00030543574,0.0025970726,0.92602915,0.056019757,0.013799755,0.00034748015],"about_ca_topic_score_codex":0.000014612174,"about_ca_topic_score_gemma":4.7013143e-7,"teacher_disagreement_score":0.23410597,"about_ca_system_score_codex":0.00014193033,"about_ca_system_score_gemma":0.00009003802,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W4323833131","doi":"10.1038/s41592-023-01802-5","title":"Sampling the proteome by emerging single-molecule and mass spectrometry methods","year":2023,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; European Regional Development Fund; National Institute on Aging; National Institutes of Health; Fundacja na rzecz Nauki Polskiej; European Commission","keywords":"Proteome; Proteomics; Mass spectrometry; Tandem mass spectrometry; Molecule; Chemistry; Small molecule; Quantitative proteomics; Liquid chromatography–mass spectrometry; Computational biology; Chromatography; Biology; Biochemistry","score_opus":0.02914377696975754,"score_gpt":0.4225316310715891,"score_spread":0.3933878541018315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323833131","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048575155,0.0023517003,0.9843089,0.0019082582,0.00006216084,0.0002875228,0.000027500051,0.0005515771,0.0056448476],"genre_scores_gemma":[0.0031290248,0.00018522587,0.9945602,0.00022882734,0.00015314213,0.00028485086,0.000035308705,0.000056761975,0.001366674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986025,0.00014750594,0.00025498748,0.00046411398,0.00016008073,0.00037082177],"domain_scores_gemma":[0.9984437,0.00072122266,0.00014155285,0.0005633327,0.00005150071,0.000078691744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015967134,0.00021571717,0.00023264858,0.000089597626,0.00030719538,0.00007434896,0.00036352949,0.00037082774,0.00011275225],"category_scores_gemma":[0.000592843,0.00016668916,0.000089612644,0.0008541604,0.00008729861,0.00006473285,0.00018459582,0.0012597836,0.0000029580006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005498692,0.000010070499,0.000021143444,0.000035496345,0.000020647625,9.2877633e-7,0.000050091123,0.0000054863926,0.95143557,0.0014257045,0.00058830803,0.04640108],"study_design_scores_gemma":[0.00008771464,0.000009732823,0.00000737045,0.00002023058,0.00002067837,0.000009190637,0.0000993094,0.0008874464,0.83480614,0.042999443,0.12086798,0.00018476207],"about_ca_topic_score_codex":0.0000032188425,"about_ca_topic_score_gemma":2.2924053e-7,"teacher_disagreement_score":0.12027967,"about_ca_system_score_codex":0.00006064609,"about_ca_system_score_gemma":0.000014809652,"threshold_uncertainty_score":0.6797387},"labels":[],"label_agreement":null},{"id":"W4360612265","doi":"10.1038/s41587-023-01714-x","title":"Global detection of human variants and isoforms by deep proteome sequencing","year":2023,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institutes of Health; Max-Planck-Gesellschaft; National Human Genome Research Institute; University of Toronto","keywords":"Protein isoform; Biology; Proteome; Exon; Computational biology; Human proteome project; Shotgun proteomics; Proteomics; Alternative splicing; Gene isoform; Deep sequencing; Genetics; Protein sequencing; Peptide sequence; Gene; Genome","score_opus":0.006294549324722416,"score_gpt":0.27212351556364395,"score_spread":0.26582896623892155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360612265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97627175,0.00028836314,0.02093935,0.00055347296,0.00002241009,0.00022974843,0.00008107986,0.0010013396,0.0006124829],"genre_scores_gemma":[0.99422926,0.00011193634,0.0054035033,0.000024569263,0.000021834074,0.0000962232,0.0000249181,0.000013583913,0.00007417014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992657,0.0000030999227,0.00016982788,0.00028314276,0.00007625322,0.00020202863],"domain_scores_gemma":[0.99950695,0.000009995487,0.00011774543,0.00030522438,0.000032368294,0.000027698847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006666535,0.00011294822,0.00014429912,0.00007151844,0.00011526963,0.000006596849,0.00018641142,0.0012256602,0.000013513013],"category_scores_gemma":[0.000051679872,0.00010782562,0.000027632625,0.00047014913,0.00013009585,0.00004552491,0.00012606208,0.00049296336,0.0000032944824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050756457,0.00000820408,0.00012628833,0.00003946457,0.000009027187,0.0000015242982,0.000006557368,0.0000010489655,0.9838658,0.0069143595,0.000050147497,0.00897251],"study_design_scores_gemma":[0.00014456145,0.00003744081,0.000110634224,0.000015713864,0.00000667426,0.000019037285,0.000046802073,0.000236612,0.96510607,0.03247491,0.001693355,0.00010818187],"about_ca_topic_score_codex":0.000028098466,"about_ca_topic_score_gemma":0.00001945205,"teacher_disagreement_score":0.025560549,"about_ca_system_score_codex":0.00010598014,"about_ca_system_score_gemma":0.000012097201,"threshold_uncertainty_score":0.9453414},"labels":[],"label_agreement":null},{"id":"W4360812610","doi":"10.1021/acs.jproteome.3c00054","title":"OpenCustomDB: Integration of Unannotated Open Reading Frames and Genetic Variants to Generate More Comprehensive Customized Protein Databases","year":2023,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal; PROTEO; Université de Sherbrooke","funders":"Université de Montréal; Canada Research Chairs; Fonds de Recherche du Québec - Santé; Cole Foundation; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Leukemia and Lymphoma Society of Canada; Canadian Cancer Society; Canadian Institutes of Health Research; Leukemia and Lymphoma Society","keywords":"Proteomics; Computational biology; Open reading frame; Proteogenomics; Biology; Protein sequencing; Genome; Genomics; Database; Genetics; Computer science; Peptide sequence; Gene","score_opus":0.14570790277424975,"score_gpt":0.45351274580578593,"score_spread":0.3078048430315362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360812610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98121446,0.00009205576,0.015377841,0.0011050162,0.000011883842,0.0018448391,0.00008513013,0.000030023435,0.00023876036],"genre_scores_gemma":[0.6530677,0.00038550323,0.34430835,0.000027102162,0.00011908556,0.0007675018,0.000032460255,0.000052321866,0.0012399635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980134,0.0001420985,0.0006612545,0.00029051577,0.00055115944,0.00034158176],"domain_scores_gemma":[0.9976082,0.00017734572,0.00037148528,0.00040930527,0.0012367711,0.00019691845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010891048,0.00014936249,0.00040828987,0.00044236283,0.00020870354,0.0001377926,0.0007407687,0.00008693648,0.000093783856],"category_scores_gemma":[0.00065221277,0.00012332003,0.000048449445,0.001015583,0.00013838391,0.00031863985,0.0007627899,0.0006541663,0.000013365765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003858396,0.00005299485,0.00010259353,0.00012937842,0.000036285706,0.00004812013,0.00021599994,0.00015945736,0.9927798,0.0004965909,0.00072941283,0.0048635215],"study_design_scores_gemma":[0.0009660588,0.00016503104,0.00066810753,0.0008376411,0.000012479032,0.000057236673,0.00068026624,0.002178375,0.98937595,0.0032430717,0.0016562755,0.00015951131],"about_ca_topic_score_codex":0.00021837081,"about_ca_topic_score_gemma":0.000005761378,"teacher_disagreement_score":0.3289305,"about_ca_system_score_codex":0.00010211115,"about_ca_system_score_gemma":0.0002389169,"threshold_uncertainty_score":0.50288445},"labels":[],"label_agreement":null},{"id":"W4360816350","doi":"10.1186/s12014-023-09400-5","title":"Discovery of novel glioma serum biomarkers by proximity extension assay","year":2023,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Centre hospitalier de l'Université Laval; Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Northwestern University","keywords":"Glioma; Medicine; Biomarker; Anaplastic astrocytoma; Oncology; Proteomics; Internal medicine; Pathology; Bioinformatics; Cancer research; Astrocytoma; Biology","score_opus":0.05284494457748526,"score_gpt":0.3623904816339129,"score_spread":0.3095455370564276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360816350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85411125,0.000027378424,0.1425886,0.00074579625,0.00007586254,0.00063096115,0.00050587906,0.0003980525,0.00091620494],"genre_scores_gemma":[0.8724327,0.00021969018,0.125078,0.00011494596,0.000162421,0.00036140843,0.00021113137,0.000077668345,0.0013420441],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979295,0.000030025438,0.00092052453,0.00057999516,0.00021164361,0.00032828114],"domain_scores_gemma":[0.9981494,0.0003691722,0.00044064474,0.0008225432,0.00010834666,0.000109872766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009199094,0.00020799859,0.0003899245,0.000052181204,0.00010852584,0.000029605071,0.00042356932,0.00037326067,0.000026970536],"category_scores_gemma":[0.0007523561,0.00019558596,0.00024962454,0.00041515034,0.00030393203,0.00021646052,0.0003200442,0.0004264754,0.00002621909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001111879,0.00040925515,0.0025259678,0.0001054308,0.000043176144,0.0000028420004,0.0000073957367,0.000012790802,0.9885093,0.0011227762,0.0037670827,0.0033828127],"study_design_scores_gemma":[0.0010469779,0.00006942578,0.00070208794,0.000118003605,0.00003230117,0.000006257822,0.000039603336,0.0065397895,0.9790492,0.009525243,0.0025132762,0.00035783913],"about_ca_topic_score_codex":0.000013987765,"about_ca_topic_score_gemma":0.0000013026038,"teacher_disagreement_score":0.018321428,"about_ca_system_score_codex":0.000046561905,"about_ca_system_score_gemma":0.00007546511,"threshold_uncertainty_score":0.79757637},"labels":[],"label_agreement":null},{"id":"W4360820779","doi":"10.1101/2023.03.22.533843","title":"DIP-MS: A novel ultra-deep interaction proteomics for the deconvolution of protein complexes","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Federation of Pharmaceutical Industries and Associations; Innovative Medicines Initiative; McGill University","keywords":"Interactome; Proteome; Computational biology; Proteomics; Mass spectrometry; Modularity (biology); Chemistry; Phenotype; Gene isoform; Proteogenomics; Biology; Chromatography; Biochemistry; Genome; Genetics; Genomics","score_opus":0.030399460910297715,"score_gpt":0.2707278568620115,"score_spread":0.2403283959517138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360820779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23337471,0.00024245429,0.7591304,0.0005207729,0.00023705939,0.0041977866,0.0014341824,0.00084845134,0.000014182798],"genre_scores_gemma":[0.84890264,0.0001469649,0.1399602,0.000026868436,0.00038410712,0.010374331,0.000003923172,0.00017495881,0.000025995221],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788505,0.000017510358,0.0007165715,0.00076522713,0.00022703935,0.0003885936],"domain_scores_gemma":[0.9968617,0.00018933666,0.0009665954,0.0013593008,0.0005322667,0.00009077559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003810962,0.00043482144,0.00045379772,0.00011479984,0.000256972,0.00010086172,0.0007492669,0.00047100327,0.00003254722],"category_scores_gemma":[0.00026603686,0.0004077989,0.0002494691,0.0002287195,0.00017045563,0.000117019685,0.00027468769,0.0007534716,0.000012137477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006340519,0.00012783408,0.00012798427,0.00090736005,0.00011625551,4.072713e-7,0.000009211863,0.00041926638,0.9943252,0.003840623,0.000057391462,0.000005037991],"study_design_scores_gemma":[0.0003537851,0.000023474791,0.00044113596,0.00054161646,0.00009729997,1.6435989e-8,0.000010533238,0.006239115,0.9875954,0.00015147476,0.0041058194,0.0004403707],"about_ca_topic_score_codex":0.000116905656,"about_ca_topic_score_gemma":0.00000982464,"teacher_disagreement_score":0.6191702,"about_ca_system_score_codex":0.0003144482,"about_ca_system_score_gemma":0.00022830606,"threshold_uncertainty_score":0.9998374},"labels":[],"label_agreement":null},{"id":"W4362593905","doi":"10.1158/1538-7445.am2023-5311","title":"Abstract 5311: Lipidomic profiling of extracellular vesicles derived from cancer cell lines: Lipid species as potential biomarkers and cellular uptake enhancers","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University; École de Technologie Supérieure","funders":"","keywords":"Lipidome; Microvesicles; Biology; Extracellular vesicle; Lipidomics; Lipid droplet; Cancer cell; Cell culture; Extracellular; Biochemistry; Chemistry; Cell biology; Cancer; microRNA; Genetics","score_opus":0.04770915819376097,"score_gpt":0.3507596953645124,"score_spread":0.3030505371707514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362593905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988198,0.008497934,0.00075962447,0.00028430778,0.00010267635,0.00047244312,0.0004153062,0.00017215201,0.0010975668],"genre_scores_gemma":[0.97560644,0.017499682,0.0037861234,0.000009197553,0.00070553005,0.0008407102,0.00013237598,0.00007975272,0.0013401863],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767977,0.00003274443,0.0004774222,0.00067749975,0.00051449856,0.0006180443],"domain_scores_gemma":[0.99863565,0.0001869673,0.00019319961,0.00054491917,0.00025319116,0.00018605911],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039012148,0.00024314427,0.00031875924,0.00012909483,0.00028610736,0.00007335843,0.00046992733,0.00022001694,0.001966418],"category_scores_gemma":[0.000052891228,0.00025002574,0.0001103106,0.00043989558,0.0004308569,0.00015345566,0.0002516318,0.00048778945,0.000033992645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016360574,0.00004183385,0.0002761418,0.0003184265,0.000066848224,0.000010917937,0.00022799103,0.00019600075,0.9916449,0.000073792566,0.00042186218,0.006557631],"study_design_scores_gemma":[0.00047325218,0.000018331866,0.00024050879,0.00020488651,0.000023795232,4.4897422e-7,0.0016225696,0.00050930044,0.99239177,0.001019412,0.0032485141,0.00024722176],"about_ca_topic_score_codex":0.0034302175,"about_ca_topic_score_gemma":0.000101704565,"teacher_disagreement_score":0.012591546,"about_ca_system_score_codex":0.00027179345,"about_ca_system_score_gemma":0.00034461182,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W4364353718","doi":"10.1021/acs.analchem.2c05796","title":"Development of Chemical Isotope Labeling Liquid Chromatography Orbitrap Mass Spectrometry for Comprehensive Analysis of Dipeptides","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation; Genome Canada","keywords":"Chemistry; Dipeptide; Orbitrap; Chromatography; Mass spectrometry; Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Peptide","score_opus":0.02872861108678144,"score_gpt":0.30972071061375933,"score_spread":0.2809920995269779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364353718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816739,0.000059814385,0.015760595,0.000047266167,0.0000037078858,0.00011033375,0.00015511115,0.00020158783,0.0019876666],"genre_scores_gemma":[0.8545091,0.00003532902,0.14472874,0.000014828874,0.000037646845,0.000113421636,0.00043013896,0.000027669586,0.00010311958],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982979,0.000002793258,0.0007081551,0.00041074888,0.00025154612,0.00032883167],"domain_scores_gemma":[0.99872726,0.00022726327,0.00025154903,0.00045873056,0.00021546613,0.00011974074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010468496,0.00021212483,0.00061334926,0.00016339224,0.000056362773,0.000009337953,0.0003406581,0.00019872955,0.00023306804],"category_scores_gemma":[0.00007390736,0.00021954469,0.0004548413,0.001872093,0.00017167388,0.000031552103,0.000105424624,0.00018191607,0.0000027139774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057739297,0.000083658684,0.0005914154,0.00051421934,0.00096152036,0.0000010999968,0.000039125334,0.0000598942,0.9970036,0.000495013,0.00009577249,0.00009693813],"study_design_scores_gemma":[0.00021254519,0.0000094269235,0.000037577014,0.000060558417,0.0005057589,7.684339e-7,0.00016228735,0.0063182027,0.99116236,0.00053452066,0.0007756207,0.0002203855],"about_ca_topic_score_codex":0.0000030023832,"about_ca_topic_score_gemma":2.8993367e-7,"teacher_disagreement_score":0.12896813,"about_ca_system_score_codex":0.00005135381,"about_ca_system_score_gemma":0.000063962165,"threshold_uncertainty_score":0.89527726},"labels":[],"label_agreement":null},{"id":"W4364379153","doi":"10.1016/j.isci.2023.106610","title":"DEcancer: Machine learning framework tailored to liquid biopsy based cancer detection and biomarker signature selection","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Liquid biopsy; Biomarker; Cancer; Cancer biomarkers; Biopsy; Medicine; Surgical oncology; Lung cancer; Biomarker discovery; Feature selection; Cohort; Oncology; Proteomics; Internal medicine; Machine learning; Computer science; Biology","score_opus":0.013074860080613869,"score_gpt":0.30080759657194267,"score_spread":0.2877327364913288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364379153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6226767,0.00024114375,0.37506005,0.0009372873,0.00005362524,0.00016547326,0.000017426468,0.00059765973,0.00025069684],"genre_scores_gemma":[0.9804095,0.000101997844,0.01858439,0.00012973182,0.000056157147,0.00034576,0.000005764905,0.000016937314,0.00034973878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991357,0.000008591922,0.00010985986,0.00037593377,0.00014125158,0.00022870717],"domain_scores_gemma":[0.9996009,0.00005401392,0.000062433355,0.00013909473,0.00005473226,0.00008885189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121902216,0.00010802118,0.0000820407,0.000093402195,0.00035821547,0.000043674863,0.00013860883,0.000116037176,0.00011847044],"category_scores_gemma":[0.000096184136,0.00010463188,0.000023545395,0.0011847292,0.00006137792,0.00008917555,0.00006165197,0.00026789928,0.000011636237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004301425,0.000006126281,0.0010578831,0.000015118401,0.0000020840882,6.634972e-7,0.000052465897,0.0032697835,0.9732891,0.00006477678,0.00003443113,0.02216459],"study_design_scores_gemma":[0.000083105304,0.000042047126,0.00069881073,0.00007035275,0.000006054087,0.0000042027104,0.00002777611,0.09408143,0.89159644,0.00079404464,0.012405845,0.00018991911],"about_ca_topic_score_codex":0.00013252949,"about_ca_topic_score_gemma":0.000059494934,"teacher_disagreement_score":0.3577329,"about_ca_system_score_codex":0.00008857796,"about_ca_system_score_gemma":0.000035995305,"threshold_uncertainty_score":0.42667642},"labels":[],"label_agreement":null},{"id":"W4366442044","doi":"10.1016/j.cell.2023.03.026","title":"The proteomic landscape of genome-wide genetic perturbations","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"H2020 European Research Council; Biotechnology and Biological Sciences Research Council; Medical Research Council; Bundesministerium für Bildung und Forschung; Wellcome Trust; Francis Crick Institute; European Research Council; Cancer Research UK","keywords":"Biology; Genome; Computational biology; Evolutionary biology; Genetics; Gene","score_opus":0.009966682967019943,"score_gpt":0.23762167727940006,"score_spread":0.22765499431238012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366442044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616623,0.00023174979,0.005622412,0.00045087244,0.00001388933,0.00026051127,0.00002981529,0.0002076776,0.03152078],"genre_scores_gemma":[0.97707224,0.00049764867,0.0075570503,0.000023083863,0.00005468278,0.0004206682,0.00003810167,0.000021739474,0.014314807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995586,0.0000035875644,0.00013741203,0.000112255286,0.000060745333,0.00012738709],"domain_scores_gemma":[0.9994637,0.000078726815,0.00006820223,0.00033188873,0.000031462554,0.00002604348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004245071,0.00005815811,0.00005807814,0.000017497314,0.00014275269,0.0000112896705,0.00020380906,0.00003942961,0.000113630194],"category_scores_gemma":[0.000019493904,0.00004429906,0.00004042759,0.00013824242,0.000040454866,0.000012755749,0.000053054206,0.00007947357,0.000080838625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050745225,0.00002362083,0.0022310885,0.000056868204,0.000006693695,7.9799014e-7,0.00011841715,0.0004830126,0.99331915,0.0004177069,0.0024545186,0.0008830255],"study_design_scores_gemma":[0.00015137937,0.000010280014,0.0031074127,0.0000090081485,0.000010940032,0.0000011934308,0.00012109299,0.0019497954,0.90992534,0.01034425,0.07424481,0.00012451867],"about_ca_topic_score_codex":0.0000027746269,"about_ca_topic_score_gemma":8.283534e-7,"teacher_disagreement_score":0.08339386,"about_ca_system_score_codex":0.000011466731,"about_ca_system_score_gemma":0.00002238221,"threshold_uncertainty_score":0.18064633},"labels":[],"label_agreement":null},{"id":"W4366674484","doi":"10.1109/iccicc57084.2022.10101613","title":"De novo sequencing of multiple SILAC-based tandem mass spectra","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); Western University","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Tandem mass spectrometry; Peptide; Shotgun proteomics; Peptide sequence; Chemistry; Computational biology; Quantitative proteomics; Isobaric labeling; Proteomics; Biology; Biochemistry; Mass spectrometry; Chromatography; Protein mass spectrometry; Gene","score_opus":0.0183680777483583,"score_gpt":0.2631970936012652,"score_spread":0.2448290158529069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366674484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4106787,0.000023558187,0.5483266,0.0002030882,0.000007018368,0.00013251911,0.00006283139,0.00025827205,0.040307384],"genre_scores_gemma":[0.7831168,0.0000018826161,0.21573618,0.00010136542,0.000015518786,0.00014710342,0.000015057957,0.000012440007,0.00085363496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946994,0.000005410147,0.00014484568,0.00013966096,0.00009950271,0.00014062527],"domain_scores_gemma":[0.9995796,0.00005272607,0.00007207252,0.00024328123,0.000018926481,0.000033383458],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007752518,0.00006550927,0.00008616044,0.000019742101,0.00011375492,0.0000052432497,0.00016669351,0.000028042152,0.0022635264],"category_scores_gemma":[0.000015296717,0.000071442875,0.000050252293,0.000092973285,0.00002240243,0.000017495584,0.00004327325,0.00015750644,0.0000015467294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068971303,0.000025323956,0.004051877,0.000015780239,0.000003812951,0.00000256715,0.00002261546,0.0040353807,0.98752624,0.0040446403,0.00006212106,0.00020275397],"study_design_scores_gemma":[0.00019831287,0.000011349867,0.000011677904,0.000004088331,0.0000045920406,0.000005330619,0.00017814012,0.013806889,0.9756412,0.0060152877,0.00403408,0.00008904491],"about_ca_topic_score_codex":0.00005416414,"about_ca_topic_score_gemma":0.000005390208,"teacher_disagreement_score":0.3724381,"about_ca_system_score_codex":0.00025051087,"about_ca_system_score_gemma":0.00008981306,"threshold_uncertainty_score":0.9986485},"labels":[],"label_agreement":null},{"id":"W4366819350","doi":"10.1021/acs.jproteome.2c00429","title":"Sample Preparation Methods for Targeted Single-Cell Proteomics","year":2023,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Island Health; University of Victoria","funders":"China Scholarship Council; Genome British Columbia; Partnership for Clean Competition; Genome Canada; University of Washington","keywords":"Chromatography; Sample preparation; Hemoglobin; Chemistry; Proteomics; Red blood cell; Mass spectrometry; Isotope dilution; Biochemistry","score_opus":0.15296321855974473,"score_gpt":0.4985720960592611,"score_spread":0.3456088774995164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366819350","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07882068,0.00013387925,0.91733253,0.000895041,0.000036888963,0.0016405641,0.00005307621,0.00011487299,0.00097245106],"genre_scores_gemma":[0.029034376,0.00012078294,0.96733505,0.00000854623,0.00037610377,0.0013127895,0.000032093973,0.00005369846,0.0017265679],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980775,0.00012143244,0.0006184936,0.00024281518,0.00044950962,0.00049026374],"domain_scores_gemma":[0.9970523,0.00092703477,0.0003901163,0.00036293722,0.0011129265,0.00015468591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003966949,0.00013188223,0.00026352724,0.0003565395,0.00029101202,0.00009174317,0.00049736403,0.00017485202,0.000115329596],"category_scores_gemma":[0.0017981009,0.00011845454,0.00017049373,0.0007596414,0.00009099457,0.00020989605,0.00013228248,0.0006923356,0.000016499027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022632677,0.00011981537,0.000024830098,0.00021538163,0.000017881122,0.00000178064,0.00012259724,0.000097310534,0.9906444,0.0006512752,0.0015928278,0.006285588],"study_design_scores_gemma":[0.00044197481,0.0003254622,0.000004106498,0.00005514946,0.000007823449,0.000011246293,0.000106012485,0.0036027045,0.8862068,0.06694294,0.04218189,0.00011388558],"about_ca_topic_score_codex":0.000008709537,"about_ca_topic_score_gemma":6.653143e-7,"teacher_disagreement_score":0.10443758,"about_ca_system_score_codex":0.00024844974,"about_ca_system_score_gemma":0.00025340138,"threshold_uncertainty_score":0.48304358},"labels":[],"label_agreement":null},{"id":"W4372330846","doi":"10.1002/pmic.202200278","title":"Integration of data‐independent acquisition (DIA) with co‐fractionation mass spectrometry (CF‐MS) to enhance interactome mapping capabilities","year":2023,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Interactome; Proteomics; Computer science; Computational biology; Mass spectrometry; Data integration; Chemistry; Data science; Data mining; Biology; Chromatography","score_opus":0.06713175976470946,"score_gpt":0.39294517923277217,"score_spread":0.3258134194680627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372330846","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007045559,0.09666741,0.89443195,0.00009657376,0.000083118735,0.0037996836,0.0020707487,0.0004982081,0.0016477247],"genre_scores_gemma":[0.0003384715,0.64137775,0.3494423,0.000016321876,0.00032674326,0.0029774667,0.0046066707,0.00015272839,0.00076156104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972326,0.000045183962,0.0010278318,0.00093340187,0.00044177964,0.00031919684],"domain_scores_gemma":[0.99689895,0.0002395008,0.0011275207,0.001397342,0.00023813888,0.00009853122],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004383039,0.00048524223,0.001033591,0.00045679774,0.000118419535,0.000093792165,0.00089366746,0.0003840466,0.00017006244],"category_scores_gemma":[0.0001427952,0.00045108164,0.00016673833,0.00070539344,0.00007178789,0.00050305674,0.00024919113,0.0007929371,0.00008846542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001556441,0.00033056602,0.000017962566,0.05450578,0.0006554287,0.000010978917,0.00050986,0.00007984955,0.34975514,0.003284033,0.00048494575,0.59020984],"study_design_scores_gemma":[0.00039636367,0.00023648815,0.000009450577,0.046094548,0.0006720006,0.00010989953,0.0007543473,0.00066640525,0.41989574,0.010051464,0.5185558,0.0025574495],"about_ca_topic_score_codex":0.0000575635,"about_ca_topic_score_gemma":0.000024314277,"teacher_disagreement_score":0.5876524,"about_ca_system_score_codex":0.0008374389,"about_ca_system_score_gemma":0.00024073916,"threshold_uncertainty_score":0.99979407},"labels":[],"label_agreement":null},{"id":"W4378953374","doi":"10.1093/jnci/djad071","title":"Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools","year":2023,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Faculty of Medicine and Health, University of Sydney; School of Public Health, Imperial College London; World Cancer Research Fund; Medical Research Council; Institut Gustave-Roussy; Cancer Council Victoria; Deutsche Krebshilfe; Instituto de Salud Carlos III; Helse Midt-Norge; Vetenskapsrådet; Cancer Research UK; World Health Organization; European Commission; National Institutes of Health; Imperial College London; Canada Research Chairs; Cancerfonden; Canadian Institutes of Health Research; Associazione Italiana per la Ricerca sul Cancro; National Health and Medical Research Council; Institut National Du Cancer; Institut National de la Santé et de la Recherche Médicale; Norges Teknisk-Naturvitenskapelige Universitet; Deutsches Krebsforschungszentrum; Ligue Contre le Cancer; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; Norwegian Institute of Public Health; Centers for Disease Control and Prevention; International Association for the Study of Lung Cancer; NIHR Imperial Biomedical Research Centre; Centre International de Recherche sur le Cancer","keywords":"Proteomics; Biomarker; Lung cancer; Medicine; Risk assessment; Cancer; Oncology; Internal medicine; Computer science; Biology","score_opus":0.11689824440024602,"score_gpt":0.37077140034372397,"score_spread":0.2538731559434779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378953374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976914,0.0002521381,0.017557727,0.00080985273,0.0005463235,0.0006026691,0.0017149989,0.000070132206,0.0015321665],"genre_scores_gemma":[0.9900325,0.00045350773,0.008275891,0.000033815904,0.0006254269,0.00035451623,0.00003811728,0.000020033827,0.00016622752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834,0.00001997323,0.00051006506,0.00013748505,0.0008573501,0.00013512511],"domain_scores_gemma":[0.99748886,0.000085902335,0.0011662764,0.00012046964,0.0010925895,0.00004592277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003593108,0.0001229221,0.00017978762,0.00009298456,0.00022646289,0.000028328775,0.0003280859,0.00006133715,0.000028210545],"category_scores_gemma":[0.00047873287,0.00008764634,0.00008823917,0.00038672614,0.00009938727,0.0004157978,0.000054780205,0.000307228,4.3162498e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049004745,0.00019833463,0.1875819,0.0005811105,0.0005264433,0.0000022408044,0.00067718193,0.5735133,0.22398226,0.0014724414,0.005411893,0.005562844],"study_design_scores_gemma":[0.0036083413,0.00009517532,0.09500819,0.004410946,0.00079253764,0.000054537624,0.00015720057,0.037603542,0.8424973,0.008954765,0.0062979823,0.0005194886],"about_ca_topic_score_codex":0.00008042065,"about_ca_topic_score_gemma":0.000105894454,"teacher_disagreement_score":0.618515,"about_ca_system_score_codex":0.00063535356,"about_ca_system_score_gemma":0.00048106498,"threshold_uncertainty_score":0.35741138},"labels":[],"label_agreement":null},{"id":"W4379162555","doi":"10.7171/3fc1f5fe.9b78d780","title":"2019 Association of Biomolecular Resource FacilitiesMulti-Laboratory Data-Independent Acquisition ProteomicsStudy","year":2023,"lang":"en","type":"article","venue":"Journal of Biomolecular Techniques JBT","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"National Cancer Institute; National Institutes of Health; Cancer Research UK; Wellcome Trust; Moffitt Cancer Center","keywords":"Computer science; Resource (disambiguation); Sample (material); Software; Set (abstract data type); Data science; Data acquisition; Data mining; Data set; Proteomics; Instrumentation (computer programming); Artificial intelligence; Biology; Operating system; Chemistry","score_opus":0.01419409841353224,"score_gpt":0.29532612321562096,"score_spread":0.2811320248020887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379162555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35575947,0.0008477445,0.63492775,0.0016305047,0.000115809344,0.0015742605,0.0023194537,0.0011059601,0.0017190761],"genre_scores_gemma":[0.80605984,0.0011267101,0.18958709,0.00027165012,0.00040201485,0.0002143669,0.0009495507,0.00018427912,0.001204509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997328,0.00009696087,0.0010596333,0.00038582244,0.0007855942,0.00034401985],"domain_scores_gemma":[0.9965462,0.0000742652,0.0015584955,0.0010753867,0.00062725105,0.00011840961],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015474869,0.00026079552,0.00045947402,0.0003888252,0.00011276594,0.000050494757,0.0010066866,0.00036699013,0.00005762575],"category_scores_gemma":[0.0002280626,0.00026344202,0.00020980522,0.0006990736,0.00008258994,0.00028262273,0.00036935316,0.00046341287,0.000014441876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006070345,0.00016278209,0.0003582254,0.000088241344,0.00012353562,0.000050386883,0.000074471005,0.000008320441,0.9899857,0.00015639467,0.0064948387,0.0024363687],"study_design_scores_gemma":[0.00041504236,0.00012815828,0.000052951287,0.000155638,0.00008297895,0.000030133686,0.00014588267,0.00021321351,0.9604345,0.0013280085,0.03676441,0.00024908117],"about_ca_topic_score_codex":0.000021244352,"about_ca_topic_score_gemma":0.0000012208683,"teacher_disagreement_score":0.45030037,"about_ca_system_score_codex":0.00035971636,"about_ca_system_score_gemma":0.0001591501,"threshold_uncertainty_score":0.99998176},"labels":[],"label_agreement":null},{"id":"W4379208001","doi":"10.1101/2023.05.30.542978","title":"Deep learning from harmonized peptide libraries enables retention time prediction of diverse post translational modifications","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institutes of Health","keywords":"Workflow; Computer science; Deep learning; Proteome; Peptide; Fragmentation (computing); Artificial intelligence; Proteomics; Computational biology; Machine learning; Data mining; Bioinformatics; Chemistry; Database; Biology; Biochemistry","score_opus":0.02708163328435503,"score_gpt":0.2199839869494261,"score_spread":0.19290235366507108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379208001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78178126,0.0006312533,0.20724776,0.00046405694,0.00020040733,0.00093547517,0.0059507512,0.0027064367,0.00008258994],"genre_scores_gemma":[0.9165576,0.00045033082,0.08167086,0.000012292844,0.00028448526,0.0006536785,0.00011584198,0.00014736006,0.000107550775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99786365,0.000049621078,0.00066719553,0.0007996004,0.00033564714,0.00028426197],"domain_scores_gemma":[0.99774003,0.00013867994,0.000663501,0.00084390986,0.00048882066,0.0001250781],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018264606,0.00037015323,0.0004059403,0.00018084359,0.00031152778,0.00012475565,0.00045833702,0.0005403957,0.00033620882],"category_scores_gemma":[0.00016994312,0.0004529964,0.0002112227,0.0003037525,0.00015382399,0.0002872159,0.0002646435,0.0007656704,0.00006638295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040973628,0.00008087676,0.0021976759,0.0001927625,0.0001375073,0.000002323359,0.00002955262,0.0024318306,0.99364215,0.0011447056,0.00009411986,0.0000055404],"study_design_scores_gemma":[0.00057887845,0.00002061385,0.021757122,0.0005661992,0.00029998732,9.897774e-9,0.00002633855,0.037476443,0.936034,0.00048807287,0.0021125004,0.0006398371],"about_ca_topic_score_codex":0.00012372476,"about_ca_topic_score_gemma":0.000001582925,"teacher_disagreement_score":0.13477634,"about_ca_system_score_codex":0.00011816379,"about_ca_system_score_gemma":0.00023092864,"threshold_uncertainty_score":0.99979216},"labels":[],"label_agreement":null},{"id":"W4379383121","doi":"10.1101/2023.06.02.543408","title":"Parallelized Acquisition of Orbitrap and Astral Analyzers Enables High-Throughput Quantitative Analysis","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Orbitrap; Mass spectrometry; Spectrum analyzer; Spectrometer; Hybrid mass spectrometer; Dynamic range; Data acquisition; Chemistry; Fragmentation (computing); Computer science; Selected reaction monitoring; Tandem mass spectrometry; Chromatography; Physics; Optics; Telecommunications","score_opus":0.021459319824177613,"score_gpt":0.270579670098611,"score_spread":0.24912035027443338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379383121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92003626,0.00045065765,0.07708026,0.0002067133,0.000057826892,0.00036474597,0.0012351334,0.0005574115,0.00001101488],"genre_scores_gemma":[0.8453054,0.00091826566,0.15322192,0.00002089541,0.00007402996,0.00035838358,0.00000793172,0.0000826203,0.000010560245],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976236,0.000044320936,0.0006782111,0.0009863685,0.00028357207,0.0003838799],"domain_scores_gemma":[0.9974998,0.000118472206,0.00074788084,0.0010938881,0.00038221793,0.00015771111],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002942163,0.00045698794,0.0008556194,0.0003678962,0.00013902254,0.000090309324,0.00040174392,0.00049548305,0.00012062371],"category_scores_gemma":[0.00005723655,0.0005087597,0.00028461262,0.00094939355,0.00023180181,0.00012222295,0.00036799032,0.0005274148,0.000008084056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006535318,0.00010385936,0.0076908725,0.00061253004,0.0015102329,0.000013325476,0.000015977816,0.0016156249,0.9752197,0.013070482,0.0000808467,0.0000011617157],"study_design_scores_gemma":[0.00053831196,0.000037636415,0.027794324,0.0003408232,0.0015715502,6.861429e-9,0.000023273838,0.0022417214,0.96593183,0.00036459105,0.00027981383,0.0008760945],"about_ca_topic_score_codex":0.0003575401,"about_ca_topic_score_gemma":0.000009835987,"teacher_disagreement_score":0.07614167,"about_ca_system_score_codex":0.00013927835,"about_ca_system_score_gemma":0.00016279088,"threshold_uncertainty_score":0.9997364},"labels":[],"label_agreement":null},{"id":"W4379742494","doi":"10.1016/j.mcpro.2023.100588","title":"A Peptidisc-Based Survey of the Plasma Membrane Proteome of a Mammalian Cell","year":2023,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; University of British Columbia; Scheme for Promotion of Academic and Research Collaboration; University of Toronto","keywords":"Proteome; Chemistry; Computational biology; Cell biology; Biochemistry; Biology","score_opus":0.013823200789029787,"score_gpt":0.23604862666113302,"score_spread":0.22222542587210323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379742494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648399,0.000027366399,0.032012224,0.00014997524,0.000022545906,0.0013599885,0.0003104796,0.00014051066,0.0011370562],"genre_scores_gemma":[0.96410215,0.000009690628,0.034267858,0.00002270949,0.000014263881,0.0006459574,0.0001825658,0.000090406895,0.00066438486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804,0.00009789638,0.0006157544,0.0004409736,0.00041891003,0.00038642972],"domain_scores_gemma":[0.9978757,0.000055998276,0.0004614532,0.0013062765,0.00021296469,0.0000876125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005168618,0.0002871196,0.00038255018,0.000105943494,0.000112000824,0.000018156423,0.00085384503,0.00023595385,0.00007787783],"category_scores_gemma":[0.000109990295,0.00025045068,0.0002726824,0.0009500933,0.00022018934,0.000038042555,0.00026281318,0.00035817426,0.000017489308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057033332,0.00011862962,0.0009140783,0.00048850663,0.000018317513,0.0000074305826,0.0000482549,0.002862427,0.99508405,0.0003077393,0.000023601653,0.00006994311],"study_design_scores_gemma":[0.00057828473,0.00003461985,0.00024642434,0.00008432219,0.000029966299,0.0000018543518,0.000019369607,0.0066154883,0.99133897,0.00058073027,0.00021276223,0.0002572119],"about_ca_topic_score_codex":0.00029176445,"about_ca_topic_score_gemma":0.000022193917,"teacher_disagreement_score":0.0037530616,"about_ca_system_score_codex":0.000054279073,"about_ca_system_score_gemma":0.00020474625,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W4379932286","doi":"10.1101/2023.06.06.543943","title":"Evaluating the capabilities of the Astral mass analyzer for single-cell proteomics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Candys Foundation; LEO Fondet; Novo Nordisk Fonden; Novo Nordisk; Kræftens Bekæmpelse","keywords":"Proteomics; Orbitrap; Computational biology; Mass spectrometry; Proteome; Quantitative proteomics; Chemistry; Single-cell analysis; Computer science; Cell; Nanotechnology; Biology; Biochemistry; Chromatography; Gene; Materials science","score_opus":0.04912814993573045,"score_gpt":0.29087847587907384,"score_spread":0.2417503259433434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379932286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96571946,0.00015334478,0.029077893,0.0005626651,0.0002498157,0.002533859,0.0012207658,0.00044448866,0.000037719325],"genre_scores_gemma":[0.8567684,0.000026868927,0.13910617,0.000034265064,0.00030359763,0.0035217255,8.0012023e-7,0.0001540887,0.000084060266],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997769,0.000054847394,0.0006741855,0.0007146113,0.00034791362,0.00043943003],"domain_scores_gemma":[0.9962086,0.0002616989,0.00086092314,0.002062319,0.00053419126,0.0000722705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007552046,0.00041203413,0.00041156664,0.000055580338,0.0003142134,0.00010732437,0.001206902,0.00041392242,0.000024806011],"category_scores_gemma":[0.00041386197,0.0003077634,0.0003511986,0.00029003655,0.00027826565,0.000053180887,0.0005574899,0.0007791465,0.000004164716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001901989,0.000058967,0.0008375914,0.00083728123,0.00005387217,2.7656228e-7,0.000013141248,0.0011353013,0.99609387,0.00088849606,0.00006071511,0.0000014636433],"study_design_scores_gemma":[0.00021074373,0.000028816963,0.0003025963,0.00029122928,0.00013482849,5.4059694e-9,0.000015842345,0.0027588012,0.99508244,0.00037086202,0.00045215042,0.00035167238],"about_ca_topic_score_codex":0.00003850561,"about_ca_topic_score_gemma":0.0000018572881,"teacher_disagreement_score":0.110028274,"about_ca_system_score_codex":0.00026380538,"about_ca_system_score_gemma":0.0004460762,"threshold_uncertainty_score":0.9999375},"labels":[],"label_agreement":null},{"id":"W4380422458","doi":"10.1080/14789450.2023.2219844","title":"Evaluation of a ‘plug and play’ nanoflow liquid chromatography system for MS-based proteomic characterization of clinical FFPE specimens","year":2023,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Jewish General Hospital; Fondation du cancer du sein du Québec; Genome Canada; Faculty of Medicine, McGill University; McGill University","keywords":"Proteomics; Chromatography; Mass spectrometry; Sample (material); Liquid chromatography–mass spectrometry; Computational biology; Computer science; Chemistry; Biology","score_opus":0.05043582504019638,"score_gpt":0.39107268364295983,"score_spread":0.34063685860276344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380422458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93302274,0.0025250101,0.05680069,0.0002425252,0.00006665411,0.0066047823,0.00039444762,0.00014670027,0.00019645035],"genre_scores_gemma":[0.5676553,0.028242676,0.38756117,0.000109225235,0.00040693267,0.014733145,0.0011054303,0.00014693888,0.000039179675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973981,0.000091160044,0.0015275504,0.000383005,0.00042014584,0.00018004871],"domain_scores_gemma":[0.9970936,0.000091868955,0.0014389916,0.0005918207,0.000719778,0.000063914165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508212,0.00020567054,0.0008085254,0.000108638524,0.00005702561,0.000005941974,0.00023507078,0.00017753069,0.00003442138],"category_scores_gemma":[0.00037113953,0.00019210507,0.00029708777,0.0003643416,0.00013434424,0.00008049718,0.00006265372,0.000108377106,0.000001433955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001261953,0.000090481255,0.00009979625,0.011547622,0.00004675975,1.180255e-7,0.000039444647,0.000005583114,0.9845759,0.00038633723,0.000055427212,0.003026281],"study_design_scores_gemma":[0.00085475127,0.00020915561,0.00013456043,0.008617899,0.00012596103,0.0000019993242,0.000013989204,0.0053553516,0.98339885,0.00014202019,0.0009695356,0.00017594421],"about_ca_topic_score_codex":0.000006476956,"about_ca_topic_score_gemma":4.898299e-7,"teacher_disagreement_score":0.36536744,"about_ca_system_score_codex":0.000056247878,"about_ca_system_score_gemma":0.00026917845,"threshold_uncertainty_score":0.78338176},"labels":[],"label_agreement":null},{"id":"W4380992764","doi":"10.1038/s41467-023-39347-y","title":"Hybrid-DIA: intelligent data acquisition integrates targeted and discovery proteomics to analyze phospho-signaling in single spheroids","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Novo Nordisk; Novo Nordisk Fonden; Academia Sinica; European Commission","keywords":"Phosphoproteomics; Proteomics; Phosphopeptide; Computational biology; Quantitative proteomics; Tandem mass spectrometry; In silico; Stable isotope labeling by amino acids in cell culture; Tandem mass tag; Computer science; Biology; Chemistry; Phosphorylation; Mass spectrometry; Bioinformatics; Cell biology; Protein phosphorylation; Biochemistry; Protein kinase A","score_opus":0.03014356208759756,"score_gpt":0.32275280514215215,"score_spread":0.2926092430545546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380992764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93302256,0.005543638,0.048716903,0.007815657,0.000057434907,0.0012129137,0.0011906484,0.00075166463,0.0016885955],"genre_scores_gemma":[0.8679106,0.001618547,0.12690124,0.00018882082,0.000033321336,0.0003483292,0.0028215975,0.000033441545,0.00014411117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988309,0.000031488737,0.00035301349,0.0004232108,0.00012409603,0.00023725932],"domain_scores_gemma":[0.99685854,0.00022153219,0.000115694405,0.002630933,0.00009181777,0.0000815023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026827157,0.00017812276,0.00019341502,0.00013200138,0.00022107444,0.00012259587,0.0015374194,0.00019077992,0.00002023203],"category_scores_gemma":[0.00022272686,0.00018446597,0.000036693575,0.00071977085,0.000094138115,0.00031929777,0.0014380412,0.00091112277,0.000015890742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003544617,0.00023442513,0.002437307,0.000041651718,0.000035812813,0.0000029573505,0.00026955662,0.0003010482,0.9781563,0.009042148,0.0022301767,0.007213161],"study_design_scores_gemma":[0.00020926996,0.000022337748,0.00041290864,0.0002270641,0.000031100277,0.000005211953,0.00062175444,0.006673964,0.95291525,0.013215318,0.025258522,0.000407281],"about_ca_topic_score_codex":0.000063079606,"about_ca_topic_score_gemma":0.00027783893,"teacher_disagreement_score":0.07818434,"about_ca_system_score_codex":0.00014685722,"about_ca_system_score_gemma":0.00004710766,"threshold_uncertainty_score":0.7522304},"labels":[],"label_agreement":null},{"id":"W4381377683","doi":"10.2337/db23-434-p","title":"434-P: Urinary Proteome Classifiers in Prediabetes Clusters","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; Medicine; Diabetes mellitus; Internal medicine; Type 2 diabetes; Urine; Body mass index; Kidney disease; Diabetic nephropathy; Urinary system; Cohort; Endocrinology","score_opus":0.015179806164165366,"score_gpt":0.26213888929092244,"score_spread":0.24695908312675707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381377683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252874,0.000081381186,0.00007693922,0.00047408915,0.000029265711,0.00029073798,0.000046342117,0.0007165273,0.0057559633],"genre_scores_gemma":[0.9922541,0.00007021925,0.0041487026,0.00009840901,0.00009239924,0.0016912494,0.0001207659,0.000045272936,0.0014789291],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988583,0.000009819325,0.00023087366,0.0003263648,0.00012163126,0.00045301305],"domain_scores_gemma":[0.9993714,0.00009564033,0.00006931533,0.00036641813,0.000021122773,0.00007610883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012321942,0.00015560647,0.0001741216,0.0001262762,0.00007680109,0.000026425912,0.0002654203,0.00013007654,0.00011640943],"category_scores_gemma":[0.000051074912,0.00016205217,0.00006231133,0.00044562505,0.000080396145,0.0001175262,0.00013380771,0.00023678028,0.00011181249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000097867405,0.00015038671,0.15986314,0.0005100739,0.000029412158,0.000012117731,0.00022230002,0.0002561434,0.8289188,0.0011507596,0.00312875,0.0057483264],"study_design_scores_gemma":[0.0004580332,0.000045478726,0.0036441742,0.0002118286,0.000010143286,6.381818e-7,0.00020361504,0.007209766,0.9512061,0.026623968,0.009926968,0.00045928126],"about_ca_topic_score_codex":0.00000326066,"about_ca_topic_score_gemma":6.536217e-7,"teacher_disagreement_score":0.15621898,"about_ca_system_score_codex":0.00006779339,"about_ca_system_score_gemma":0.00002205793,"threshold_uncertainty_score":0.66082954},"labels":[],"label_agreement":null},{"id":"W4381800848","doi":"10.3390/biomedicines11071786","title":"Integrating Proteomics and Lipidomics for Evaluating the Risk of Breast Cancer Progression: A Pilot Study","year":2023,"lang":"en","type":"article","venue":"Biomedicines","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and Higher Education of the Russian Federation; Skolkovo Institute of Science and Technology","keywords":"Proteomics; Lipidomics; Proteome; Apolipoprotein A1; Breast cancer; Blood proteins; Apolipoprotein B; Selected reaction monitoring; Tandem mass spectrometry; Cancer; Chemistry; Medicine; Mass spectrometry; Internal medicine; Biochemistry; Chromatography; Cholesterol","score_opus":0.05339959543544764,"score_gpt":0.40584057005144386,"score_spread":0.3524409746159962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381800848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928344,0.00014702267,0.0041711377,0.0010084625,0.00004091255,0.0014409781,0.00018685742,0.00013005534,0.00004020767],"genre_scores_gemma":[0.96365994,0.00023119873,0.03168341,0.000019290677,0.00037046074,0.0038648641,0.000018148581,0.000026616737,0.00012606551],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923944,0.000015407173,0.0002686393,0.00020327956,0.00013287464,0.00014032699],"domain_scores_gemma":[0.99912184,0.00021375302,0.0002648961,0.00023387693,0.00013377547,0.000031871332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005079082,0.00011083691,0.00016352303,0.00004072934,0.00021504857,0.000012783404,0.0001541528,0.000029378234,0.00001040011],"category_scores_gemma":[0.00016798948,0.00006423558,0.000024140301,0.0002637435,0.0001318975,0.000028415627,0.00009022801,0.000111638794,3.4130943e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030899164,0.00020877243,0.041843355,0.00028819652,0.00008340681,3.1052747e-7,0.0010919689,0.000017895896,0.8494984,0.00027146953,0.0004119096,0.10597534],"study_design_scores_gemma":[0.017825475,0.013358645,0.055131365,0.005349746,0.0020592127,0.00010685745,0.05159379,0.27736372,0.51698357,0.052692886,0.0052575124,0.0022772101],"about_ca_topic_score_codex":0.000115386814,"about_ca_topic_score_gemma":0.000019855752,"teacher_disagreement_score":0.3325148,"about_ca_system_score_codex":0.000019740874,"about_ca_system_score_gemma":0.000042334417,"threshold_uncertainty_score":0.2619451},"labels":[],"label_agreement":null},{"id":"W4382244095","doi":"10.26434/chemrxiv-2023-g5986","title":"Targeted Quantification of Proteoforms in Complex Samples by Proteoform Reaction Monitoring","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada)","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Proteomics; Selected reaction monitoring; Computational biology; Quantitative proteomics; Biomarker; Biomarker discovery; Computer science; Label-free quantification; Chemistry; Mass spectrometry; Tandem mass spectrometry; Chromatography; Biology; Biochemistry","score_opus":0.08585070578607018,"score_gpt":0.33317325721885954,"score_spread":0.24732255143278936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382244095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708897,0.00011620328,0.024875807,0.00030446306,0.000079749756,0.001977135,0.00017602758,0.000751286,0.00082963106],"genre_scores_gemma":[0.95406175,0.0003250418,0.037868388,0.000002600678,0.00012730158,0.0046049017,0.0023900848,0.000091170914,0.0005287819],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813473,0.00000792659,0.00071820826,0.0006029576,0.00022427287,0.0003118905],"domain_scores_gemma":[0.99823195,0.000039644914,0.00069345225,0.0008481168,0.00013033328,0.000056527322],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002420684,0.00029336865,0.00039966975,0.00012093748,0.00007636864,0.000029354786,0.00044094506,0.00047179498,0.0000379338],"category_scores_gemma":[0.0000935032,0.00031282892,0.00011878546,0.00024110307,0.00007982459,0.00008972437,0.00031206713,0.00074285764,0.000012084148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023396764,0.00009826108,0.0038505378,0.0008746786,0.000017967997,3.754284e-7,0.000081070946,0.00008540937,0.9929876,0.00021355032,0.00031467367,0.0014524927],"study_design_scores_gemma":[0.00016186446,0.0000067557435,0.0027464514,0.00038018223,0.000011909422,6.816687e-7,0.00010515842,0.00043014955,0.98312384,0.011277536,0.0014557469,0.00029970627],"about_ca_topic_score_codex":0.00038609523,"about_ca_topic_score_gemma":0.0000083455325,"teacher_disagreement_score":0.016827967,"about_ca_system_score_codex":0.00025977255,"about_ca_system_score_gemma":0.000063492305,"threshold_uncertainty_score":0.9999324},"labels":[],"label_agreement":null},{"id":"W4384023305","doi":"10.1101/2023.07.11.548580","title":"Clinical proteomics reveals vulnerabilities in non-invasive breast ductal carcinoma and drives personalized treatment strategies","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; McGill University; Research Manitoba; Jewish General Hospital","funders":"National Cancer Institute; Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Jewish General Hospital; Terry Fox Research Institute; Fondation du cancer du sein du Québec; Genome Canada; Faculty of Medicine, McGill University; McGill University","keywords":"Proteomics; Druggability; Breast cancer; PI3K/AKT/mTOR pathway; Ductal carcinoma; Quantitative proteomics; Biology; Cancer; Medicine; Bioinformatics; Cancer research; Computational biology; Oncology; Internal medicine; Gene; Signal transduction; Genetics","score_opus":0.025436186094256154,"score_gpt":0.2855821784781174,"score_spread":0.26014599238386127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384023305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946658,0.00035032313,0.0012661228,0.00027376408,0.00011933941,0.001364197,0.0014632802,0.00047674158,0.000020404681],"genre_scores_gemma":[0.955534,0.0015753679,0.039089683,0.000022691374,0.00043841326,0.003120803,0.000004259963,0.00016236778,0.000052410396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99679536,0.000087103675,0.00093165215,0.0014174979,0.0002167767,0.0005515981],"domain_scores_gemma":[0.9975602,0.00024560743,0.0005076158,0.0012049183,0.00023937969,0.00024225317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040266657,0.0006920588,0.00093903526,0.00016397101,0.00017916368,0.00023563136,0.00043479743,0.0007511604,0.00003771144],"category_scores_gemma":[0.00012529781,0.00071513705,0.00023280822,0.00021593651,0.00049444597,0.00016871264,0.0004899411,0.00093947665,0.000012076695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010298046,0.0003067833,0.17894994,0.0010910883,0.00016057029,0.0001081393,0.00010432243,0.000053789387,0.8156425,0.0034390409,0.000036087917,0.000004804807],"study_design_scores_gemma":[0.0038036862,0.00027030363,0.32843983,0.00238912,0.00033316325,8.6386206e-7,0.00054435455,0.000981517,0.658101,0.0014020728,0.0004962839,0.0032377834],"about_ca_topic_score_codex":0.00032006443,"about_ca_topic_score_gemma":0.00003467429,"teacher_disagreement_score":0.15754142,"about_ca_system_score_codex":0.0004958612,"about_ca_system_score_gemma":0.00083083875,"threshold_uncertainty_score":0.99952996},"labels":[],"label_agreement":null},{"id":"W4384303294","doi":"10.1007/978-1-0716-3327-4_21","title":"Discovering Protein–Protein Interactions using Co-Fractionation-Mass Spectrometry with Label-Free Quantitation","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Michael Smith Health Research BC; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Proteome; Fractionation; Mass spectrometry; Chemistry; Proteomics; Lysis; Computational biology; Chromatography; Biochemistry; Biology","score_opus":0.03771047109998642,"score_gpt":0.4406479039404146,"score_spread":0.40293743284042816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384303294","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23578972,0.000025397161,0.7622214,0.00020039672,0.0000193975,0.00027376684,0.000025108215,0.00016459922,0.0012802049],"genre_scores_gemma":[0.06212871,0.000008610658,0.93694645,0.000022629425,0.00003473497,0.0005162764,0.000094476934,0.00003796359,0.00021016538],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988446,0.00013064955,0.00028210584,0.00039132513,0.0000885883,0.00026269493],"domain_scores_gemma":[0.9991296,0.00013980402,0.00017078541,0.00046419434,0.00005881764,0.00003681244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037336058,0.0001621573,0.00019220592,0.00028149618,0.00011747319,0.00002554649,0.00023958193,0.00012908231,0.00009037659],"category_scores_gemma":[0.00035453078,0.00016099882,0.000045420435,0.0007407195,0.00008222568,0.00011047567,0.00008031947,0.0003589627,0.000009295753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022672604,0.00003214601,0.00039679973,0.000027354527,0.000022190176,0.000007029761,0.000026039597,0.0006706208,0.97271717,0.02437258,0.0000022306363,0.0017031762],"study_design_scores_gemma":[0.00028912188,0.000030963423,0.00003472955,0.000060742794,0.000008831529,0.000009182516,0.00009668568,0.0050990684,0.9015272,0.09180014,0.00085275585,0.00019056801],"about_ca_topic_score_codex":0.00010251133,"about_ca_topic_score_gemma":0.000015482232,"teacher_disagreement_score":0.17472503,"about_ca_system_score_codex":0.00016209437,"about_ca_system_score_gemma":0.000042580636,"threshold_uncertainty_score":0.65653414},"labels":[],"label_agreement":null},{"id":"W4384626741","doi":"10.1002/cpz1.833","title":"Western Blotting with Fast SDS‐PAGE and Semi‐Dry Protein Transfer","year":2023,"lang":"en","type":"article","venue":"Current Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Polyacrylamide gel electrophoresis; Chromatography; Lysis; Tris; Blot; Chemistry; Lysis buffer; Gel electrophoresis; Bradford protein assay; Sodium dodecyl sulfate; Gel electrophoresis of proteins; Protein purification; Molecular-weight size marker; Membrane protein; Polyacrylamide; Membrane; Biochemistry; Molecular biology; Biology; Enzyme","score_opus":0.03581546124369796,"score_gpt":0.34081257529489595,"score_spread":0.304997114051198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384626741","genre_codex":"empirical","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7630478,0.0001054835,0.0754711,0.00033837263,0.000017215132,0.15463957,0.00017276409,0.0023818458,0.0038258552],"genre_scores_gemma":[0.23553844,0.0000132074565,0.0048186737,0.00001554718,0.00020382034,0.75803715,0.000060979095,0.00008121092,0.001230959],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894565,0.000009981846,0.00022147107,0.00033194973,0.0001545453,0.00033639403],"domain_scores_gemma":[0.99945456,0.000019296198,0.000055412296,0.0003253188,0.00003573066,0.0001096776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011284009,0.0001929013,0.00016685648,0.000039208036,0.00014145723,0.00005932089,0.00016958288,0.000072897405,0.00007170174],"category_scores_gemma":[0.000007651867,0.00016520113,0.000035091238,0.00020093526,0.00006837789,0.00014014133,0.000074310934,0.000292443,0.000030591127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001244154,0.00034168837,0.039256874,0.0032105623,0.000034283294,0.000008591011,0.00073828246,0.000020069112,0.8145978,0.0034436835,0.00016434675,0.1380594],"study_design_scores_gemma":[0.0011998094,0.00007611639,0.00046835377,0.0017963207,0.000017863993,0.000009813903,0.000098245044,0.00033628452,0.8366984,0.0013044956,0.15739919,0.00059507834],"about_ca_topic_score_codex":0.0000016399786,"about_ca_topic_score_gemma":0.0000015287233,"teacher_disagreement_score":0.6033976,"about_ca_system_score_codex":0.000026591402,"about_ca_system_score_gemma":0.000027042952,"threshold_uncertainty_score":0.67367065},"labels":[],"label_agreement":null},{"id":"W4385431527","doi":"10.1016/j.mex.2023.102306","title":"A micro-flow, high-pH, reversed-phase peptide fractionation and collection system for targeted and in-depth proteomics of low-abundance proteins in limiting samples","year":2023,"lang":"en","type":"article","venue":"MethodsX","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital","funders":"Institute of Biochemistry and Biophysics, University of Tehran; European Regional Development Fund; Fundacja na rzecz Nauki Polskiej; European Commission","keywords":"Fractionation; Chromatography; Proteome; Proteomics; Peptide; Chemistry; Ammonium bicarbonate; Sample preparation; Biochemistry","score_opus":0.03177208499765039,"score_gpt":0.3343634653516806,"score_spread":0.3025913803540302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385431527","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6932389,0.00003824477,0.30526087,0.00009998742,0.000014289951,0.0011101367,0.00008339049,0.0001006644,0.000053499625],"genre_scores_gemma":[0.33014438,0.000064774016,0.6680158,0.0000055509095,0.00003066684,0.0015643681,0.000052252075,0.00002083548,0.00010138524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990133,0.000049440518,0.00037543642,0.00031232872,0.00007795213,0.00017151263],"domain_scores_gemma":[0.99919313,0.00029971867,0.00024447215,0.00015153694,0.00007966928,0.000031475352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059066433,0.00012286037,0.00023934165,0.00017002718,0.000110228,0.000017954117,0.00006117359,0.0001265632,0.000002604269],"category_scores_gemma":[0.00037095038,0.00013882379,0.000028680408,0.00042967935,0.00005144484,0.00011078301,0.000041372266,0.00016346748,2.8768582e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016365928,0.00005100711,0.0009790327,0.00087593077,0.0000072878647,0.000001100013,0.0002775259,0.00030479167,0.9915531,0.00050322985,0.00001625736,0.0052670306],"study_design_scores_gemma":[0.0013666701,0.000036627767,0.0009968508,0.00036612863,0.000009543677,0.0000060153943,0.00049168785,0.016637469,0.97494185,0.004638855,0.00035368727,0.00015459527],"about_ca_topic_score_codex":0.00015770966,"about_ca_topic_score_gemma":0.00008047586,"teacher_disagreement_score":0.36309457,"about_ca_system_score_codex":0.00015887214,"about_ca_system_score_gemma":0.000041863328,"threshold_uncertainty_score":0.566107},"labels":[],"label_agreement":null},{"id":"W4385507228","doi":"10.1016/j.ab.2023.115269","title":"An Excel fitting routine for correcting protein absorption spectra for scatter","year":2023,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rayleigh scattering; Absorbance; Scattering; Wavelength; Spectral line; Absorption (acoustics); Analytical Chemistry (journal); Curve fitting; Optics; Chemistry; Molecular physics; Materials science; Physics; Chromatography; Statistics; Mathematics","score_opus":0.02219678468624864,"score_gpt":0.32554409645314464,"score_spread":0.303347311766896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385507228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8510658,0.000010414129,0.14547801,0.00079981645,0.000014720176,0.00046207436,0.00014347976,0.0005656472,0.0014600408],"genre_scores_gemma":[0.9548255,0.0000032603232,0.039079525,0.00007538003,0.00058405136,0.0010672105,0.00065956876,0.000048785285,0.003656698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870956,0.0000027350084,0.00030415045,0.0004885188,0.00010440747,0.0003906325],"domain_scores_gemma":[0.99913156,0.00012416077,0.00011572412,0.0004085398,0.00010192069,0.000118084296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020695817,0.00017192881,0.00017637845,0.00002859344,0.00019563241,0.000052557978,0.00022425735,0.00018799985,0.00010997364],"category_scores_gemma":[0.00021890008,0.0001815188,0.00015126224,0.00018155262,0.00005354214,0.000057980888,0.000040202853,0.00016823426,0.00001543721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003695863,0.000054261112,0.00027705985,0.00023224973,0.000016375046,6.059131e-7,0.000012903246,0.000021571363,0.993983,0.0005967558,0.0007213266,0.00404694],"study_design_scores_gemma":[0.0003025652,0.000021758146,0.000014900277,0.000063765925,0.000028976352,0.000003753656,0.00009809444,0.039493084,0.9535055,0.0054058693,0.0008297535,0.00023196849],"about_ca_topic_score_codex":0.000008066365,"about_ca_topic_score_gemma":7.949319e-7,"teacher_disagreement_score":0.10639848,"about_ca_system_score_codex":0.00007698483,"about_ca_system_score_gemma":0.000032123153,"threshold_uncertainty_score":0.7402122},"labels":[],"label_agreement":null},{"id":"W4386258894","doi":"10.1016/j.csbj.2023.08.025","title":"MetaPep: A core peptide database for faster human gut metaproteomics database searches","year":2023,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metaproteomics; Database search engine; Database; Sequence database; Computer science; Computational biology; Metagenomics; Biology; Search engine; Information retrieval","score_opus":0.05752189728448905,"score_gpt":0.34026817649718777,"score_spread":0.28274627921269874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386258894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86369324,0.00015496569,0.13115901,0.0033149759,0.00003861133,0.00028458732,0.0009566649,0.00033421564,0.00006372879],"genre_scores_gemma":[0.64136255,0.000156953,0.35608757,0.00015276311,0.00019655564,0.00011480666,0.0014820511,0.000034886525,0.00041190043],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998766,0.000010430547,0.00036083016,0.000358416,0.00016896501,0.00033534603],"domain_scores_gemma":[0.99918395,0.00012950541,0.00019784756,0.00023640589,0.00013722511,0.00011503575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020226737,0.00020595582,0.00023861905,0.0002077798,0.0007784719,0.000076619115,0.00034537134,0.00019174074,0.00008801292],"category_scores_gemma":[0.0000808747,0.00017505843,0.00009577039,0.00022116749,0.00030500552,0.0001848121,0.00026600802,0.00061329803,0.0000063641105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070550384,0.000017150602,0.0004046818,0.00011963124,0.00015796164,0.000028324113,0.00006169169,0.00089204847,0.88256407,0.099917926,0.0019723277,0.013793631],"study_design_scores_gemma":[0.0017142129,0.0001162839,0.0008808884,0.00009791784,0.00011149145,0.001440368,0.0003891307,0.07754941,0.15103513,0.75605327,0.009970424,0.000641491],"about_ca_topic_score_codex":0.0000042709066,"about_ca_topic_score_gemma":0.0000029431599,"teacher_disagreement_score":0.73152894,"about_ca_system_score_codex":0.000045767738,"about_ca_system_score_gemma":0.000051760984,"threshold_uncertainty_score":0.7138676},"labels":[],"label_agreement":null},{"id":"W4386407117","doi":"10.1007/978-1-0716-3457-8_6","title":"Improved Coverage of the N-Terminome by Combining ChaFRADIC with Alternative Proteases","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; CancerCare Manitoba; Research Manitoba","funders":"","keywords":"Trypsin; Subtilisin; Cleavage (geology); Proteases; Proteolysis; Protease; Biochemistry; UniProt; Chemistry; In silico; Amino acid; Proteolytic enzymes; Computational biology; Biology; Enzyme; Gene","score_opus":0.016900134805105337,"score_gpt":0.3715743645736986,"score_spread":0.35467422976859325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386407117","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17459635,0.00006800798,0.82390976,0.00012332892,0.000013921069,0.00029747337,0.0000474708,0.000053565127,0.00089011324],"genre_scores_gemma":[0.29453582,0.000057807854,0.7041578,0.000119420416,0.000012029913,0.00075858517,0.000038770664,0.000029503532,0.00029022264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925816,0.00012394735,0.0001808366,0.00022914968,0.000037937207,0.0001699604],"domain_scores_gemma":[0.9993378,0.000118255215,0.00015367701,0.00034777893,0.000022675442,0.000019832814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002324657,0.0001045697,0.00017804948,0.000037728434,0.000036509227,0.0000035781718,0.00029067506,0.00008792539,0.00001982445],"category_scores_gemma":[0.000097629934,0.00007391261,0.000043971617,0.0002425294,0.00015593275,0.000011774068,0.00013840149,0.00019152384,5.158332e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012879411,0.000021644151,0.0008871188,0.000018833865,0.000013962938,0.000002470581,0.000041482075,0.000033726395,0.989791,0.0028241067,0.000004553781,0.0063482453],"study_design_scores_gemma":[0.0002627057,0.00004032794,0.000020410447,0.00002680062,0.000005620258,0.0000044798685,0.000018205279,0.0010572135,0.9648089,0.03276955,0.0008956023,0.000090185975],"about_ca_topic_score_codex":0.000042415253,"about_ca_topic_score_gemma":0.0000011256149,"teacher_disagreement_score":0.11993944,"about_ca_system_score_codex":0.00002469228,"about_ca_system_score_gemma":0.000021432234,"threshold_uncertainty_score":0.3014069},"labels":[],"label_agreement":null},{"id":"W4386640546","doi":"10.1101/2023.09.11.557098","title":"Droplet based low input proteomic platform for rare cell populations","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Computational biology; Biology; Proteomics; Cell; Cell biology; Compartment (ship); Computer science; Gene; Genetics","score_opus":0.029144557382024577,"score_gpt":0.25922920587963244,"score_spread":0.23008464849760787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386640546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67136145,0.0001331905,0.31342128,0.0005941992,0.00046566193,0.004322022,0.006038332,0.0036186653,0.000045218614],"genre_scores_gemma":[0.76484656,0.00004170876,0.22505803,0.00010807725,0.00047456045,0.009022499,0.000023479943,0.00034930606,0.0000757578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99706596,0.000014222697,0.0007324655,0.0012269132,0.00029185682,0.00066859],"domain_scores_gemma":[0.9965939,0.00008612031,0.0006619507,0.0019813518,0.00042276396,0.00025389268],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026394686,0.00065815554,0.00057116186,0.00022497974,0.00038982526,0.00019296838,0.00085477903,0.0008850089,0.00009936035],"category_scores_gemma":[0.00014693956,0.00077447784,0.0003200377,0.00036635008,0.00008787067,0.00012941402,0.00044147426,0.00093279616,0.00007284977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037906655,0.00017203721,0.0013106251,0.0018997412,0.00003866283,0.000007720042,0.0000037077366,0.0011192462,0.9927064,0.0015364678,0.0011652606,0.0000022265574],"study_design_scores_gemma":[0.0006368543,0.000019971341,0.000732007,0.0005224285,0.00009241014,5.805513e-9,0.000001724225,0.008531805,0.9823435,0.00023132554,0.0059091593,0.0009788086],"about_ca_topic_score_codex":0.0000433368,"about_ca_topic_score_gemma":0.0000034975685,"teacher_disagreement_score":0.09348515,"about_ca_system_score_codex":0.00047242918,"about_ca_system_score_gemma":0.0006176747,"threshold_uncertainty_score":0.9994706},"labels":[],"label_agreement":null},{"id":"W4386693427","doi":"10.1016/j.mcpro.2023.100638","title":"Quantitative Time-Course Analysis of Osmotic and Salt Stress in Arabidopsis thaliana Using Short Gradient Multi-CV FAIMSpro BoxCar DIA","year":2023,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Proteome; Arabidopsis; Arabidopsis thaliana; Seedling; Shoot; Osmotic shock; Proteomics; Quantitative proteomics; Biology; Chemistry; Computational biology; Botany; Mutant; Bioinformatics; Biochemistry","score_opus":0.024330357362282586,"score_gpt":0.3003092441628535,"score_spread":0.2759788868005709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386693427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8485026,0.00026745905,0.15023749,0.000040251114,0.000009057327,0.0006052152,0.00017204962,0.00009753131,0.0000683942],"genre_scores_gemma":[0.85579973,0.000083789986,0.1434713,0.000011955212,0.0000085647425,0.00020085122,0.0002746539,0.000062668114,0.00008648875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981214,0.00005370858,0.0005423453,0.0006182187,0.00025115037,0.00041320163],"domain_scores_gemma":[0.9988534,0.00004684137,0.00021721724,0.00066379696,0.00010085444,0.000117888696],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028100098,0.00030168804,0.00055709813,0.00037257778,0.00009260729,0.00003550714,0.00029403038,0.00019549936,0.000023236582],"category_scores_gemma":[0.000057865767,0.0003366278,0.00022615629,0.0014067705,0.00016380477,0.00007954598,0.00018460563,0.00028947936,0.0000046701552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020532636,0.00016344052,0.0068619275,0.00011370594,0.0003290559,0.00005438135,0.00023617699,0.015489914,0.9759647,0.0005515088,0.0000024831527,0.00021214578],"study_design_scores_gemma":[0.000206825,0.000020686459,0.00040648913,0.00006767894,0.0004080664,0.0000014646984,0.00016509072,0.24617569,0.7517828,0.0004992644,0.000006165395,0.00025979112],"about_ca_topic_score_codex":0.00019706356,"about_ca_topic_score_gemma":0.00004045033,"teacher_disagreement_score":0.23068577,"about_ca_system_score_codex":0.00011174616,"about_ca_system_score_gemma":0.000053680033,"threshold_uncertainty_score":0.99990857},"labels":[],"label_agreement":null},{"id":"W4386945701","doi":"10.1021/acs.analchem.3c02412","title":"Compendium of Chromatographic Behavior of Post-translationally and Chemically Modified Peptides in Bottom-Up Proteomic Experiments","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Peptide; Formic acid; Moiety; Chromatography; Amino acid; Chemical modification; Residue (chemistry); Combinatorial chemistry; Stereochemistry; Biochemistry","score_opus":0.019339517672245995,"score_gpt":0.30049878513450745,"score_spread":0.28115926746226144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386945701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714476,0.00003867127,0.00011711461,0.00008965093,0.000002947532,0.00017555348,0.0000910318,0.000076635835,0.0022636629],"genre_scores_gemma":[0.99632126,0.000042547734,0.0029582013,0.000008177568,0.00001306723,0.00020701304,0.00016453605,0.00002177254,0.0002634108],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987552,0.0000042406978,0.0005045469,0.00030987323,0.00021192308,0.00021418754],"domain_scores_gemma":[0.9993164,0.000060308535,0.00014390743,0.00030353453,0.000087873035,0.00008798164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086992484,0.00016200468,0.00030718118,0.000058416546,0.000028057993,0.000007907422,0.00021899017,0.00018504944,0.0001600845],"category_scores_gemma":[0.000037875965,0.00017349051,0.00010093088,0.0003044993,0.00024484136,0.000049346887,0.000081606704,0.00023038678,0.0000018276876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039042636,0.00012779617,0.014592369,0.00028737835,0.00001993053,0.0000031135535,0.000046686986,0.000010328818,0.9841629,0.00059955387,0.000016031012,0.00009484485],"study_design_scores_gemma":[0.00048250132,0.000009503302,0.0035977457,0.00009554981,0.000030088078,0.00000590683,0.00007366225,0.0016373792,0.99251556,0.0013758857,0.00001410878,0.00016210852],"about_ca_topic_score_codex":0.000034864806,"about_ca_topic_score_gemma":0.0000011016095,"teacher_disagreement_score":0.010994623,"about_ca_system_score_codex":0.000023901091,"about_ca_system_score_gemma":0.000050494156,"threshold_uncertainty_score":0.70747375},"labels":[],"label_agreement":null},{"id":"W4387401222","doi":"10.1039/bk9781837670338-00215","title":"Mass Spectrometry-based Proteomics of Eukaryotes","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Expansive; Proteomics; Computational biology; Biology; Data science; Computer science; Biochemistry","score_opus":0.020984810864931158,"score_gpt":0.2592529819318732,"score_spread":0.23826817106694204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387401222","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028065395,0.000028600038,0.19870926,0.00014159524,0.000014112119,0.000320017,0.00030917235,0.0005363004,0.79991287],"genre_scores_gemma":[0.0003193019,0.00011021534,0.43947962,0.000026090223,0.00008683986,0.000113024296,0.00017443826,0.000120301316,0.55957013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877286,0.0000012219947,0.0004215475,0.0003953344,0.00021402078,0.00019501666],"domain_scores_gemma":[0.9986597,0.000079594414,0.00035488064,0.0007488405,0.000093373994,0.00006366353],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006189195,0.00030650114,0.00039449317,0.00013888447,0.0000434302,0.000012409025,0.0003610411,0.00044371653,0.0028146782],"category_scores_gemma":[0.000018143013,0.0003083492,0.00022283186,0.000054525215,0.000104203165,0.000021808293,0.00007571935,0.0004364437,0.0001376438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001571264,0.000015957026,0.000013420641,0.00031323417,0.00005058425,0.000004672597,0.0000024015462,0.00002325075,0.35363632,0.64480245,0.0007707265,0.00035127057],"study_design_scores_gemma":[0.000120361074,0.000017252669,3.802734e-7,0.00016034472,0.000032667813,0.0000010754301,0.0000022859801,0.00013066076,0.646529,0.3423066,0.010388679,0.00031065894],"about_ca_topic_score_codex":0.000009083098,"about_ca_topic_score_gemma":0.0000026041957,"teacher_disagreement_score":0.3024958,"about_ca_system_score_codex":0.00008366201,"about_ca_system_score_gemma":0.00009082047,"threshold_uncertainty_score":0.9999369},"labels":[],"label_agreement":null},{"id":"W4387773470","doi":"10.1038/s42256-023-00738-x","title":"Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model","year":2023,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"","keywords":"Fragmentation (computing); Tandem mass spectrometry; Deep learning; Peptide; Computer science; Computational biology; Graph; Recurrent neural network; Artificial neural network; Artificial intelligence; Biology; Chemistry; Mass spectrometry; Biochemistry; Theoretical computer science","score_opus":0.01281514757924118,"score_gpt":0.308552899223441,"score_spread":0.2957377516441998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387773470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23399326,0.00013272904,0.76236534,0.00074216153,0.000005098055,0.00026607537,0.000013142332,0.00035940958,0.0021227926],"genre_scores_gemma":[0.7842521,0.000025522593,0.21486598,0.000246063,0.000022844737,0.00022270237,0.00006790801,0.000034387707,0.00026249513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988185,0.000027432592,0.00026837646,0.0003429419,0.00021247634,0.00033025543],"domain_scores_gemma":[0.99924743,0.00019326803,0.00017003607,0.00026897414,0.00006643496,0.000053828553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000345948,0.00018960529,0.00012838778,0.00009731469,0.0002712205,0.000059216283,0.00032276558,0.00014199594,0.000029243292],"category_scores_gemma":[0.00010646331,0.00014623388,0.000050708994,0.0006901698,0.000078729674,0.00008898845,0.000053407162,0.0015223512,0.000003949026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025065461,0.000013141118,0.0030020021,0.000083317456,0.000005936416,0.000014626604,0.0006223129,0.8527177,0.13146715,0.0029101903,0.000002971246,0.0091356],"study_design_scores_gemma":[0.00010508887,0.000010945162,0.0000103981,0.00017497873,0.000006945254,0.000009734427,0.00037880024,0.7076183,0.27400357,0.017462486,0.00006725252,0.00015153512],"about_ca_topic_score_codex":0.00015848222,"about_ca_topic_score_gemma":0.00024393336,"teacher_disagreement_score":0.5502588,"about_ca_system_score_codex":0.00020672496,"about_ca_system_score_gemma":0.000098712204,"threshold_uncertainty_score":0.6613943},"labels":[],"label_agreement":null},{"id":"W4387866498","doi":"10.1080/14789450.2023.2272046","title":"Positional proteomics: is the technology ready to study clinical cohorts?","year":2023,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Cuccione Foundation; Canada Research Chairs; Deutsche Forschungsgemeinschaft; Health Research","keywords":"Proteome; Proteomics; Computational biology; Proteolysis; Biology; Human proteome project; Identification (biology); Protease; Bioinformatics; Biochemistry; Enzyme","score_opus":0.03960428984477405,"score_gpt":0.4195892773037224,"score_spread":0.3799849874589484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387866498","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6867561,0.023450522,0.1073706,0.1289653,0.00042482238,0.04195414,0.0008230054,0.0031598846,0.0070956456],"genre_scores_gemma":[0.030922506,0.061802134,0.8670319,0.008586009,0.00076703954,0.02934571,0.00018305756,0.0001761499,0.0011854931],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99763894,0.00005627573,0.0011008845,0.00057351385,0.0003095727,0.00032080285],"domain_scores_gemma":[0.99777436,0.0001050783,0.00040002682,0.0013629105,0.00025795138,0.00009968095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009893498,0.000256581,0.0006055314,0.00008921628,0.00021036767,0.000018345367,0.0009160872,0.00018201824,0.00031450103],"category_scores_gemma":[0.0003584695,0.00019041167,0.00019947921,0.0007911106,0.00016718752,0.000056737907,0.00045041033,0.00047051223,0.00019188516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003376223,0.003263194,0.013858389,0.0043554413,0.0007485262,0.000048619877,0.0016860215,0.000013879625,0.73658764,0.028151043,0.13709086,0.07385877],"study_design_scores_gemma":[0.0013289705,0.00094989414,0.00077160506,0.006645754,0.000178543,0.000084091545,0.001115975,0.00022636882,0.75231636,0.02534676,0.20967849,0.0013571813],"about_ca_topic_score_codex":0.000015466658,"about_ca_topic_score_gemma":0.0000014974007,"teacher_disagreement_score":0.7596613,"about_ca_system_score_codex":0.00006546958,"about_ca_system_score_gemma":0.00009551206,"threshold_uncertainty_score":0.77647626},"labels":[],"label_agreement":null},{"id":"W4388021637","doi":"10.1038/s42003-023-05437-2","title":"Achieving quantitative reproducibility in label-free multisite DIA experiments through multirun alignment","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Mitacs","keywords":"Computer science; Reproducibility; Quantitative proteomics; Pairwise comparison; Bottleneck; Workflow; Data mining; Pattern recognition (psychology); Chromatography; Chemistry; Proteomics; Artificial intelligence","score_opus":0.1409669646633049,"score_gpt":0.43564140367317644,"score_spread":0.29467443900987156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388021637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97353053,0.0018562503,0.008086119,0.0047738315,0.00004557951,0.00070764666,0.00022880068,0.0007140298,0.010057238],"genre_scores_gemma":[0.7078915,0.0016773652,0.28855956,0.00008324323,0.000012717092,0.0011546046,0.00041192563,0.000019539733,0.00018955067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984724,0.000111982474,0.000416536,0.00068436086,0.00005197081,0.0002627488],"domain_scores_gemma":[0.99258316,0.0004024714,0.00015161416,0.006771085,0.00005735782,0.000034342313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004805753,0.00014531288,0.00020747431,0.000060689654,0.00024053433,0.000011410592,0.0014095528,0.00013506935,0.000043365184],"category_scores_gemma":[0.000668915,0.00015084975,0.000045843448,0.00038992928,0.0002912665,0.000090475834,0.0015839991,0.00028849105,0.00006984453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021728096,0.0004065985,0.03749723,0.00002154822,0.000028777093,7.6278087e-7,0.0016537565,0.000021338094,0.8835198,0.07162981,0.00032630572,0.0048723435],"study_design_scores_gemma":[0.0025065364,0.00010735258,0.010661006,0.00018614034,0.000028373372,0.0000049967957,0.0027549432,0.0051643024,0.75035006,0.13894959,0.08831727,0.0009694271],"about_ca_topic_score_codex":0.00028088252,"about_ca_topic_score_gemma":0.00016666134,"teacher_disagreement_score":0.2804734,"about_ca_system_score_codex":0.00012982835,"about_ca_system_score_gemma":0.000018314371,"threshold_uncertainty_score":0.6151474},"labels":[],"label_agreement":null},{"id":"W4388163834","doi":"10.1101/2023.10.27.564468","title":"Mining Mass Spectra for Peptide Facts","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Institut de Valorisation des Données","keywords":"Computer science; Identification (biology); Tandem mass spectrometry; Task (project management); Peptide; Pipeline (software); Mass spectrometry; Artificial intelligence; Data mining; Chemistry; Biology; Chromatography; Engineering; Programming language","score_opus":0.02675642107873135,"score_gpt":0.26255958972810256,"score_spread":0.2358031686493712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388163834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54948163,0.0004962758,0.43482766,0.0010997392,0.0008182904,0.0026553047,0.0037758197,0.006546809,0.00029843446],"genre_scores_gemma":[0.5641005,0.0002734413,0.43050867,0.00009339504,0.0009564079,0.0034609248,0.00000456908,0.0004061714,0.0001959268],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99730283,0.000012610486,0.0005646796,0.0011866128,0.00025165456,0.0006816167],"domain_scores_gemma":[0.99722916,0.0001440666,0.00049195386,0.0016045595,0.00029197117,0.00023828198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027897552,0.0005726811,0.00053266436,0.00014511833,0.00023751608,0.00018230887,0.0007935294,0.0006644054,0.000076127864],"category_scores_gemma":[0.0002101198,0.00068650744,0.00026082085,0.00024438652,0.00008206479,0.00008878362,0.0003972168,0.00073679554,0.00006821613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015816297,0.000041131298,0.0007179348,0.0006528228,0.00008631556,0.000012321931,0.0000048083602,0.00011767274,0.9950264,0.0021463765,0.0011764803,0.0000018881593],"study_design_scores_gemma":[0.0002850634,0.000014109009,0.0004796582,0.00044125135,0.00008483922,6.579768e-9,0.0000053396952,0.0007696192,0.96925366,0.0002133231,0.027598793,0.0008543314],"about_ca_topic_score_codex":0.000019245934,"about_ca_topic_score_gemma":0.0000015368943,"teacher_disagreement_score":0.026422312,"about_ca_system_score_codex":0.00033347655,"about_ca_system_score_gemma":0.0003064209,"threshold_uncertainty_score":0.9995586},"labels":[],"label_agreement":null},{"id":"W4388213288","doi":"10.1101/2023.10.30.564469","title":"Pepid: a Highly Modifiable, Bioinformatics-Oriented Peptide Search Engine","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Institut de Valorisation des Données","keywords":"Identification (biology); Computer science; Software; Workflow; Process (computing); Mascot; Search engine; Database search engine; Software engineering; Data mining; Information retrieval; Programming language; Database","score_opus":0.019973916803272537,"score_gpt":0.2498756513459715,"score_spread":0.22990173454269897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388213288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73862654,0.00058287574,0.24319552,0.0016612251,0.0007669569,0.0025141079,0.0041236905,0.007984855,0.0005442328],"genre_scores_gemma":[0.71437764,0.00089560664,0.2808674,0.00009989157,0.00073181035,0.0022237008,0.000012478751,0.00044705276,0.00034443298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99656135,0.000026690184,0.0009156605,0.0010478358,0.00053414435,0.00091431424],"domain_scores_gemma":[0.9959903,0.0001282532,0.00047176788,0.0024774019,0.0005324984,0.00039981134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044443167,0.0007381392,0.00068164966,0.00033735094,0.00029263415,0.00020889002,0.0010432865,0.0007992914,0.00016423348],"category_scores_gemma":[0.00019039799,0.0008351544,0.00024412738,0.0007329046,0.00012719321,0.00019418934,0.001244395,0.0016499725,0.0004164756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035387646,0.00020187003,0.0009667735,0.0024096523,0.00023187253,0.000035844176,0.000023028457,0.0028812278,0.98195624,0.009005932,0.0022470106,0.0000051634056],"study_design_scores_gemma":[0.00054996304,0.0000270927,0.0005603335,0.0009468036,0.00010804794,3.1762287e-8,0.00000837448,0.033112228,0.94507325,0.00007239501,0.018129831,0.0014116527],"about_ca_topic_score_codex":0.0001648913,"about_ca_topic_score_gemma":0.0000011755421,"teacher_disagreement_score":0.03767188,"about_ca_system_score_codex":0.0004948321,"about_ca_system_score_gemma":0.00047224594,"threshold_uncertainty_score":0.9994099},"labels":[],"label_agreement":null},{"id":"W4388454562","doi":"10.1093/nar/gkad985","title":"DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institutes of Health; National Science Foundation","keywords":"Proteome; Download; Interface (matter); Graphical user interface; Biology; Function (biology); Scope (computer science); Computer science; Database; Computational biology; Bioinformatics; World Wide Web; Operating system","score_opus":0.16983394894888781,"score_gpt":0.4607957457648882,"score_spread":0.2909617968160004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388454562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169284,0.0004238533,0.00021328726,0.0024237311,0.000011299129,0.00051885896,0.0008507736,0.00021220888,0.0036531314],"genre_scores_gemma":[0.9790687,0.0005908515,0.016684433,0.000045890927,0.000061352366,0.001027943,0.00068318757,0.000027888274,0.0018097427],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984636,0.000049403217,0.0002608624,0.000581129,0.00025494574,0.00039009342],"domain_scores_gemma":[0.99872637,0.00016459935,0.000037121154,0.00086156675,0.00007871679,0.00013165588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069948804,0.00011756513,0.00014488648,0.00015595791,0.000341296,0.000097413584,0.00042120623,0.00012048006,0.00024790605],"category_scores_gemma":[0.00012214163,0.00012251762,0.000015891015,0.000621884,0.00035637905,0.0002473725,0.0010313748,0.0004855726,0.00004030891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042635573,0.00012917475,0.0028318595,0.000069397276,0.000011740324,0.000006153063,0.0002840516,0.000003920309,0.9820933,0.0056296503,0.0031669808,0.005731133],"study_design_scores_gemma":[0.0064795213,0.00028516373,0.09602253,0.00033077187,0.000032765525,0.0000442875,0.014301342,0.038041245,0.6649237,0.058029775,0.119332254,0.0021765847],"about_ca_topic_score_codex":0.0003137776,"about_ca_topic_score_gemma":0.000019742947,"teacher_disagreement_score":0.31716955,"about_ca_system_score_codex":0.000076418546,"about_ca_system_score_gemma":0.000045959765,"threshold_uncertainty_score":0.49961233},"labels":[],"label_agreement":null},{"id":"W4388622124","doi":"10.1093/nar/gkad1050","title":"OpenProt 2.0 builds a path to the functional characterization of alternative proteins","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Alliance de recherche numérique du Canada; Canada Research Chairs","keywords":"Pipeline (software); Proteome; Biology; Computational biology; Computer science; Visualization; Resource (disambiguation); Open reading frame; Proteogenomics; Identification (biology); Interface (matter); Set (abstract data type); Genome; Artificial intelligence; Bioinformatics; Genomics; Gene; Peptide sequence; Genetics; Programming language","score_opus":0.06630731027716714,"score_gpt":0.36771572816234,"score_spread":0.30140841788517286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388622124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9611761,0.0000039729894,0.027295578,0.004524098,0.000021659918,0.001192154,0.000176392,0.00015840895,0.00545166],"genre_scores_gemma":[0.98741096,0.000055133867,0.0036190457,0.00006291408,0.0002479533,0.0028362898,0.00013976547,0.00003678261,0.005591176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998625,0.000039918774,0.00019824169,0.00027960513,0.00056186336,0.0002953962],"domain_scores_gemma":[0.99897456,0.000073308736,0.000059229384,0.00048785596,0.00033129964,0.0000737294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006050365,0.00008712998,0.00010408681,0.00011254165,0.00028372105,0.000039847528,0.00050029473,0.00007151257,0.0005865627],"category_scores_gemma":[0.00015177381,0.000066612425,0.000042032076,0.0008906144,0.00010815742,0.00008406449,0.00038987634,0.00036181835,0.00028878442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005187961,0.000045811288,0.0003899737,0.00004047266,0.000011532088,0.0000013491608,0.00027254655,0.000027341757,0.9821979,0.0074762846,0.0011545651,0.008330382],"study_design_scores_gemma":[0.0002229115,0.000086228574,0.0046928176,0.00008618137,0.0000030019546,0.00000268001,0.00021155643,0.002619394,0.8917007,0.0066607194,0.09357598,0.00013786026],"about_ca_topic_score_codex":0.000051868927,"about_ca_topic_score_gemma":0.0000029879948,"teacher_disagreement_score":0.092421405,"about_ca_system_score_codex":0.00007789029,"about_ca_system_score_gemma":0.00006951314,"threshold_uncertainty_score":0.642245},"labels":[],"label_agreement":null},{"id":"W4388717893","doi":"10.48550/arxiv.2311.07791","title":"Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry","year":2023,"lang":"en","type":"preprint","venue":"PubMed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"National Institute of Standards and Technology; Indian Council of Medical Research; Amrita Vishwa Vidyapeetham University; Translational Health Science and Technology Institute; Department of Biotechnology, Ministry of Science and Technology, India; National Institutes of Health; National Science Foundation","keywords":"Proteomics; Shotgun proteomics; Proteome; Bottom-up proteomics; Identification (biology); Computational biology; Mass spectrometry; Quantitative proteomics; Workflow; Computer science; Chemistry; Bioinformatics; Biology; Tandem mass spectrometry; Protein mass spectrometry; Biochemistry; Chromatography","score_opus":0.12449562206215244,"score_gpt":0.3306626415918909,"score_spread":0.20616701952973848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388717893","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7589625,0.0034114309,0.22000183,0.0006399937,0.0007147298,0.0074278666,0.0021013862,0.001824002,0.0049162474],"genre_scores_gemma":[0.23436305,0.0039428193,0.7383597,0.00009159572,0.000674462,0.018759804,0.00043777813,0.00033794885,0.003032829],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979777,0.000018264709,0.0006116478,0.00064617966,0.00027442537,0.0004718096],"domain_scores_gemma":[0.9978093,0.000074503485,0.000696024,0.0011310702,0.00016982143,0.00011926241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014961667,0.00035594066,0.00062560843,0.00014857376,0.00006818435,0.00004142998,0.0006427771,0.0004758762,0.00005012963],"category_scores_gemma":[0.00005779946,0.00040041082,0.00027796678,0.00028104943,0.00010788067,0.00004420441,0.0008858652,0.0010274937,0.000006834208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020927547,0.0004067786,0.0036907108,0.02321516,0.0012369464,0.000041418312,0.00020995589,0.0053563863,0.92214805,0.012971121,0.0015586157,0.028955579],"study_design_scores_gemma":[0.00040860474,0.000005294223,0.0016828167,0.00043288295,0.00017104103,0.000010617152,0.000064270826,0.0014990455,0.85851616,0.13338749,0.0029727744,0.0008490179],"about_ca_topic_score_codex":0.00010020122,"about_ca_topic_score_gemma":0.000001284895,"teacher_disagreement_score":0.52459943,"about_ca_system_score_codex":0.00030570896,"about_ca_system_score_gemma":0.00009027962,"threshold_uncertainty_score":0.9998448},"labels":[],"label_agreement":null},{"id":"W4389180765","doi":"10.1021/acs.analchem.3c03357","title":"Trace Sample Proteome Quantification by Data-Dependent Acquisition without Dynamic Exclusion","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; National Institutes of Health; Outstanding Youth Scientist Foundation of Hunan Province; American Society for Mass Spectrometry; Science and Technology Bureau, Changsha; Mitacs; National Natural Science Foundation of China","keywords":"Reproducibility; Chemistry; Proteomics; Proteome; Quantitative proteomics; Chromatography; Mass spectrometry; Label-free quantification; Sample preparation; TRACE (psycholinguistics); Biochemistry","score_opus":0.029978094676007264,"score_gpt":0.3351265995632179,"score_spread":0.3051485048872106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389180765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73090225,0.00015478369,0.25407168,0.0027741636,0.000027026665,0.00053465273,0.0028490445,0.0019415971,0.006744772],"genre_scores_gemma":[0.9775595,0.00015500131,0.0058724885,0.000041202857,0.00009807305,0.00022273172,0.008756308,0.000053403954,0.007241279],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981934,0.00000775703,0.00037550056,0.00074313144,0.00033605943,0.00034419014],"domain_scores_gemma":[0.99820274,0.000100145415,0.00014503143,0.0013323257,0.00007051826,0.0001492646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022509642,0.00021024617,0.00021149708,0.000024520146,0.00019933729,0.000063881074,0.0006486075,0.00023152685,0.000883114],"category_scores_gemma":[0.00013907075,0.0002182021,0.00006410474,0.0003134543,0.00009437794,0.00016575879,0.00032481272,0.00032224352,0.00014293105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002346495,0.00010074024,0.00032056167,0.00014865982,0.0000203202,0.0000027221458,0.000010691299,0.0000452668,0.9945089,0.00013457001,0.003165729,0.001518327],"study_design_scores_gemma":[0.00031601766,0.0000073274787,0.000055283217,0.000057654765,0.000064155145,0.000011270557,0.0000900646,0.15272059,0.82448757,0.0053729913,0.0164001,0.0004170067],"about_ca_topic_score_codex":0.000032855864,"about_ca_topic_score_gemma":0.0000020069062,"teacher_disagreement_score":0.2481992,"about_ca_system_score_codex":0.00013362015,"about_ca_system_score_gemma":0.00004037858,"threshold_uncertainty_score":0.9669479},"labels":[],"label_agreement":null},{"id":"W4389207072","doi":"10.22215/etd/2023-15745","title":"Exploring the Benefits of Trimethylation Enhancement using Diazomthane (TrEnDi) in Mass Spectropmetry-Based Phosphoproteomics","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Phosphopeptide; Phosphoproteomics; Chemistry; Peptide; Stathmin; Chromatography; Mass spectrometry; Combinatorial chemistry; Computational biology; Computer science; Biochemistry; Protein phosphorylation; Phosphorylation; Biology","score_opus":0.07005597319658058,"score_gpt":0.3102750399546278,"score_spread":0.24021906675804722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389207072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97802746,0.00019427431,0.017481683,0.000030543495,0.000118624026,0.00062297925,0.000049114642,0.00014603237,0.0033292954],"genre_scores_gemma":[0.8861439,0.0014140263,0.10365718,0.000014492156,0.00017130232,0.0021289643,0.0021885054,0.00019293149,0.0040886602],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827445,0.000012862586,0.00067839515,0.0004303721,0.00030838905,0.00029553406],"domain_scores_gemma":[0.99866384,0.0001311585,0.000525574,0.0005493239,0.00009194588,0.000038134705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020871109,0.00030844667,0.0003782556,0.00022906256,0.000095000825,0.000024155524,0.00033630902,0.00019723925,0.00018313593],"category_scores_gemma":[0.00004939143,0.00027253275,0.00014581777,0.0006382522,0.000024156734,0.0000886171,0.000027960594,0.00045556374,0.0000075865264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017241863,0.0000972067,0.00024828728,0.00044580686,0.000039980525,0.0000011662498,0.00026799948,0.0059679523,0.97280544,0.002197017,0.000006966343,0.017749785],"study_design_scores_gemma":[0.00029629125,0.000015254065,0.00025433,0.00034694746,0.000039849718,1.84967e-7,0.0004624704,0.0024060442,0.99434704,0.0014830302,0.000074760115,0.00027377417],"about_ca_topic_score_codex":0.0005224274,"about_ca_topic_score_gemma":0.00022235926,"teacher_disagreement_score":0.09188351,"about_ca_system_score_codex":0.00028879204,"about_ca_system_score_gemma":0.00011955037,"threshold_uncertainty_score":0.9999727},"labels":[],"label_agreement":null},{"id":"W4389209942","doi":"10.1101/2023.11.29.569331","title":"metaExpertPro: a computational workflow for metaproteomics spectral library construction and data-independent acquisition mass spectrometry data analysis","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Turun Yliopisto; Åbo Akademi; Westlake University; University of Ottawa","keywords":"Metaproteomics; Computer science; Workflow; Orbitrap; Data mining; Benchmark (surveying); Software; False discovery rate; Mass spectrometry; Metagenomics; Biology; Chemistry; Database; Chromatography","score_opus":0.03289703052733893,"score_gpt":0.27809702035624273,"score_spread":0.24519998982890379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389209942","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07237793,0.00063909224,0.9040306,0.0005743565,0.00018921215,0.0011603126,0.019845447,0.0011749113,0.000008104113],"genre_scores_gemma":[0.20885842,0.00050329056,0.7886386,0.00005571206,0.00055414886,0.0006300499,0.00058381347,0.00016434203,0.000011653964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959309,0.000045338016,0.0007723344,0.0023418374,0.00041228303,0.00049731147],"domain_scores_gemma":[0.99481463,0.0001759163,0.00071670016,0.0038844328,0.00017580732,0.00023252466],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056834915,0.00058637484,0.00082291826,0.00050322065,0.0002887081,0.00051893,0.0018035448,0.0005685369,0.00012494285],"category_scores_gemma":[0.000103554594,0.0006765956,0.00019604406,0.0009720941,0.00017430355,0.0006920228,0.002301849,0.0007585224,0.000009144115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002546369,0.00032114072,0.011642987,0.0014820683,0.00716269,0.000040991577,0.000009857629,0.0046888706,0.9579005,0.015112955,0.0013336674,0.0000496113],"study_design_scores_gemma":[0.0016226168,0.000052747953,0.0069904584,0.0004077194,0.006534807,2.91025e-7,0.000025241034,0.3157199,0.6556163,0.006351748,0.0037362128,0.0029419772],"about_ca_topic_score_codex":0.00002246268,"about_ca_topic_score_gemma":0.0000020041093,"teacher_disagreement_score":0.31103104,"about_ca_system_score_codex":0.00018333053,"about_ca_system_score_gemma":0.00035125558,"threshold_uncertainty_score":0.9995685},"labels":[],"label_agreement":null},{"id":"W4389240124","doi":"10.1158/1535-7163.targ-23-c003","title":"Abstract C003: A quantitative mass spectrometry workflow for highly multiplexed measurement of immunomodulatory proteins to support immunotherapy clinical trials","year":2023,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FuelCell Energy (Canada)","funders":"","keywords":"Peptide; Chemistry; Immunotherapy; Mass spectrometry; Selected reaction monitoring; Computational biology; Biomarker; Tandem mass spectrometry; Antibody; Chromatography; Biomarker discovery; Quantitative proteomics; Sample preparation; Immune system; Proteomics; Biology; Biochemistry; Immunology","score_opus":0.16647023828762625,"score_gpt":0.4365019973843337,"score_spread":0.27003175909670746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389240124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29343984,0.002049528,0.69753957,0.0013363527,0.00023434096,0.0039055636,0.0007316319,0.00045193403,0.0003112627],"genre_scores_gemma":[0.7234048,0.00096852885,0.27133384,0.00043401416,0.00011469173,0.0034249553,0.00006017603,0.0001383589,0.00012059011],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99721277,0.00008897752,0.0012725184,0.0005143897,0.0004730207,0.0004383246],"domain_scores_gemma":[0.99781877,0.00027882884,0.00062675547,0.00077701645,0.0003953941,0.00010322107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024528867,0.00030723063,0.0007545057,0.00014499927,0.00010460717,0.00003282713,0.00047025018,0.00022942678,0.00012452417],"category_scores_gemma":[0.00017977235,0.00029853117,0.000536284,0.00048094723,0.00009258742,0.00004846193,0.000047777354,0.0002889888,0.000013810456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065986626,0.00015533432,0.0001521635,0.000096609605,0.00062973116,0.0000028313436,0.00010904881,0.00037950982,0.96100914,0.000977224,0.00009448109,0.035734072],"study_design_scores_gemma":[0.0016619243,0.00028914018,0.00042186593,0.00012401592,0.000094777904,3.3799944e-7,0.000072916584,0.0003692748,0.9739051,0.0057140454,0.01698243,0.00036417815],"about_ca_topic_score_codex":0.000031470758,"about_ca_topic_score_gemma":0.0000068672075,"teacher_disagreement_score":0.429965,"about_ca_system_score_codex":0.000250961,"about_ca_system_score_gemma":0.00027703552,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W4389242980","doi":"10.1182/blood-2023-186367","title":"Identification of Acute Myeloid Leukemia Cell Surface Therapeutic Targets Using Single Cell RNA Sequencing Supported By Surface Proteomics","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Université de Montréal; Université Laval; Hôpital de l'Enfant-Jésus; Institute for Research in Immunology and Cancer; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Biology; Myeloid leukemia; Myeloid; CD33; NPM1; Cancer research; Leukemia; Computational biology; Immunology; Stem cell; Karyotype; Gene; Genetics; CD34; Chromosome","score_opus":0.019472739455419975,"score_gpt":0.2611407093865156,"score_spread":0.24166796993109566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389242980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96956396,0.00020870932,0.028336417,0.000031573774,0.000023053446,0.00044958544,0.00033100348,0.00038326735,0.00067242456],"genre_scores_gemma":[0.9571103,0.00019613435,0.040619414,0.000014941782,0.00002582109,0.00003682163,0.00028314188,0.000079323014,0.0016341442],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983893,0.000020138747,0.0005529369,0.00043969403,0.00022421799,0.00037370186],"domain_scores_gemma":[0.9986453,0.00004403976,0.0005132168,0.00059289555,0.00012724515,0.00007732452],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020425023,0.00023241356,0.00025063733,0.000037229194,0.00016765975,0.000042958447,0.00034581678,0.0001969558,0.000059135145],"category_scores_gemma":[0.0000075119533,0.00026367058,0.00009844592,0.00040805523,0.000068671085,0.00014589382,0.00009509652,0.00024168017,0.000023226034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008416135,0.0001386054,0.00022068241,0.00013902476,0.000040709336,0.0000031246263,0.00016752954,0.002230191,0.9968941,0.000016270393,0.000100477686,0.000040843897],"study_design_scores_gemma":[0.0004896388,0.000018831208,0.0000059721015,0.000025209061,0.00015472832,0.000005244188,0.00015514264,0.007614107,0.9904164,0.0006830053,0.00016164366,0.00027005599],"about_ca_topic_score_codex":0.000058947404,"about_ca_topic_score_gemma":0.0000010248227,"teacher_disagreement_score":0.012453707,"about_ca_system_score_codex":0.00023308412,"about_ca_system_score_gemma":0.00017303853,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W4389244303","doi":"10.1007/978-1-0716-3589-6_2","title":"N-Terminomics/TAILS of Human Tumor Biopsies and Cancer Cell Lines","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Proteome; Proteases; Proteolysis; Proteomics; Protease; Stable isotope labeling by amino acids in cell culture; Computational biology; Chemistry; Biology; Biochemistry; Tandem mass spectrometry; Mass spectrometry; Enzyme; Gene; Chromatography","score_opus":0.033630758746491005,"score_gpt":0.4346797115414499,"score_spread":0.4010489527949589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389244303","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8535759,0.0007519052,0.14433582,0.0000594762,0.000017642125,0.00009833191,0.000036907146,0.000068643494,0.0010553605],"genre_scores_gemma":[0.08745169,0.0005273413,0.9114047,0.00005928756,0.000026081245,0.00025591633,0.000024752153,0.000021567614,0.00022864381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933237,0.000051249506,0.00021827091,0.00022702375,0.000017755676,0.00015333913],"domain_scores_gemma":[0.9995544,0.00007743612,0.00009752326,0.00022542752,0.0000222602,0.000022951543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021264238,0.00009473941,0.00019699789,0.00005333116,0.000028642557,0.0000034705597,0.00014175006,0.00009843577,0.000043125845],"category_scores_gemma":[0.00003703831,0.00009293025,0.000035353645,0.000120439545,0.00013071668,0.000011189106,0.00013338104,0.00009690214,6.7123227e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030105712,0.000011418643,0.0016206985,0.0000537249,0.000004481148,0.0000037692764,0.000043515647,0.000010537471,0.9894087,0.0026483806,0.0000063330276,0.0061854473],"study_design_scores_gemma":[0.00011552553,0.000014135565,0.000041721607,0.000013548414,0.0000059522804,0.0000023191951,0.000055196237,0.00020789714,0.9699681,0.028526919,0.00095424853,0.00009442701],"about_ca_topic_score_codex":0.00010695214,"about_ca_topic_score_gemma":0.000009346005,"teacher_disagreement_score":0.7670689,"about_ca_system_score_codex":0.000018328918,"about_ca_system_score_gemma":0.000012499376,"threshold_uncertainty_score":0.37895855},"labels":[],"label_agreement":null},{"id":"W4389312239","doi":"10.21203/rs.3.rs-3672865/v1","title":"metaExpertPro: a computational workflow for metaproteomics spectral library construction and data-independent acquisition mass spectrometry data analysis","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Turun Yliopisto; Åbo Akademi; Westlake University; University of Ottawa","keywords":"Metaproteomics; Computer science; Orbitrap; Workflow; Data mining; Benchmark (surveying); Software; Pipeline (software); False discovery rate; Mass spectrometry; Metagenomics; Biology; Chemistry; Database; Chromatography","score_opus":0.11893337052049731,"score_gpt":0.4229628299353199,"score_spread":0.3040294594148226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389312239","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0124092465,0.0008839671,0.951464,0.0019202929,0.00006667671,0.0021075548,0.03019451,0.00061582815,0.0003379474],"genre_scores_gemma":[0.046182986,0.0012866602,0.8584918,0.000016489661,0.00060898863,0.0012602762,0.091574684,0.0001195066,0.0004586297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99537396,0.00012173599,0.0006395972,0.0022425984,0.0009756269,0.0006464493],"domain_scores_gemma":[0.9947954,0.0006505299,0.00031345602,0.0037511038,0.00025812283,0.00023139143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014399984,0.0003869253,0.0006758932,0.0008879647,0.00045335176,0.0006335688,0.0022940196,0.0005038265,0.0004055053],"category_scores_gemma":[0.0002147468,0.00040971077,0.00021219418,0.0012234573,0.00028744797,0.0005871056,0.005686637,0.0015276059,0.000013000997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006035384,0.0038849702,0.06716493,0.03686087,0.062374275,0.0004800725,0.0013327977,0.13776326,0.20300268,0.2681039,0.075747274,0.13724959],"study_design_scores_gemma":[0.00070869416,0.00005912997,0.000628316,0.0003232075,0.0010462337,0.000017559769,0.00048064007,0.47643068,0.019913018,0.49685258,0.0026955043,0.0008444281],"about_ca_topic_score_codex":0.00008024111,"about_ca_topic_score_gemma":0.000020425216,"teacher_disagreement_score":0.33866742,"about_ca_system_score_codex":0.0002228005,"about_ca_system_score_gemma":0.00038893794,"threshold_uncertainty_score":0.9998355},"labels":[],"label_agreement":null},{"id":"W4389440952","doi":"10.1212/wnl.86.16_supplement.i2.013","title":"Exploring Protein Quantitation Methods to Detect Useful Plasma Biomarkers for Distinguishing Ischemic Stroke from Mimic (I2.013)","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foothills Medical Centre; BC Centre for Disease Control; University of Victoria; Island Health","funders":"","keywords":"Ischemic stroke; Medicine; Stroke (engine); Internal medicine; Computational biology; Pathology; Ischemia; Biology","score_opus":0.08649856577006441,"score_gpt":0.3402489776115997,"score_spread":0.2537504118415353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389440952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60358566,0.000009828712,0.3947587,0.000765156,0.000046706184,0.0003149675,0.00009693725,0.00018538101,0.00023666347],"genre_scores_gemma":[0.52452725,0.000009823436,0.4729386,0.000111118825,0.00013110197,0.0021549554,0.000014035663,0.000047128142,0.00006596479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987297,0.000038689275,0.0002925044,0.00053986243,0.0000726723,0.0003265512],"domain_scores_gemma":[0.9986097,0.0006813203,0.00015688674,0.0004042965,0.00005959941,0.00008816123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016101985,0.0001764756,0.00019992019,0.000061476356,0.00011672592,0.000021178801,0.00028604994,0.00013488461,0.000067880224],"category_scores_gemma":[0.00072236283,0.000156475,0.00007944555,0.000076383774,0.000045207395,0.00012694986,0.00010058336,0.00015313724,0.000020215617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022796061,0.000009045422,0.00026522198,0.000017059063,0.000018114435,0.000001272348,0.00003601146,0.0000065169666,0.95047194,0.00024281998,0.000085886946,0.048618127],"study_design_scores_gemma":[0.00038307253,0.000111239475,0.000102108635,0.00002953437,0.000016478665,0.0000029579369,0.0000071983955,0.00034440542,0.9555085,0.0029823584,0.040330723,0.0001814704],"about_ca_topic_score_codex":0.000076489814,"about_ca_topic_score_gemma":0.000023348797,"teacher_disagreement_score":0.07905839,"about_ca_system_score_codex":0.00003906898,"about_ca_system_score_gemma":0.0000190993,"threshold_uncertainty_score":0.6380865},"labels":[],"label_agreement":null},{"id":"W4389553850","doi":"10.1186/s13007-023-01116-9","title":"Seed protein biotyping in Amaranthus species: a tool for rapid identification of weedy amaranths of concern","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Agriculture and Agri-Food Canada; Canadian Food Inspection Agency","keywords":"Amaranth; Biology; Brassicaceae; Botany; Amaranthus hybridus; Crop; Agronomy; Weed","score_opus":0.05830446110814687,"score_gpt":0.37589040214459085,"score_spread":0.317585941036444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389553850","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38104478,0.000117070456,0.61559397,0.00013575285,0.000035826004,0.0011534353,0.0009402776,0.0001616055,0.00081726495],"genre_scores_gemma":[0.41334322,0.00019335949,0.5841043,0.000008247593,0.000056714536,0.0011596784,0.00026648561,0.000033165434,0.0008348303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883986,0.000043537522,0.00059905543,0.00024241909,0.000098203476,0.000176911],"domain_scores_gemma":[0.9988154,0.00041888165,0.00035925183,0.0003211009,0.00006505021,0.000020287414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654111,0.000108979555,0.00028868028,0.00012042678,0.000038670183,0.000008262948,0.00021292559,0.00010622064,0.000041255847],"category_scores_gemma":[0.00030045214,0.00011160629,0.000082733204,0.000354611,0.00007315815,0.000051130773,0.00004458289,0.000104529056,0.000001932408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000884751,0.000033576966,0.00024610528,0.00042013402,0.000014223552,4.3533996e-7,0.00018090785,0.00003781266,0.98428184,0.003336408,0.000028635961,0.0113314595],"study_design_scores_gemma":[0.00034319249,0.000014879672,0.0005491701,0.0001613436,0.00001199136,0.0000012574811,0.000148513,0.0061187535,0.9849809,0.004758724,0.0027922827,0.000118988915],"about_ca_topic_score_codex":0.000029898121,"about_ca_topic_score_gemma":0.0000029003595,"teacher_disagreement_score":0.03229845,"about_ca_system_score_codex":0.000033575474,"about_ca_system_score_gemma":0.000033797332,"threshold_uncertainty_score":0.45511726},"labels":[],"label_agreement":null},{"id":"W4390199779","doi":"10.1002/alz.078974","title":"Proteomics signatures of cerebrovascular pathology in TGFß1 overexpressing mice","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Neurological Institute and Hospital; Institut Universitaire de Gériatrie de Montréal; National Research Council Canada","funders":"","keywords":"Proteome; Proteomics; Vascular dementia; Pathology; Transforming growth factor; Laser capture microdissection; Biology; Genetically modified mouse; Molecular biology; Chemistry; Dementia; Cell biology; Medicine; Biochemistry; Transgene; Gene expression; Gene","score_opus":0.018266376478977227,"score_gpt":0.2784563512070322,"score_spread":0.260189974728055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390199779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97339755,0.013430036,0.0079503795,0.000225253,0.00005419774,0.000632238,0.00006122329,0.00040603365,0.0038430828],"genre_scores_gemma":[0.94140494,0.00015058854,0.058006126,0.000046013887,0.00003561415,0.00024557,0.00006584182,0.000031738058,0.000013586411],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989832,0.000016836553,0.00031689202,0.00029956532,0.000121518235,0.00026197595],"domain_scores_gemma":[0.99934864,0.000036617814,0.00014941048,0.00039310558,0.00003804362,0.000034195535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013805195,0.00013758327,0.00018749209,0.00008420959,0.00005706754,0.000011930157,0.00026450743,0.00015182044,0.0001429339],"category_scores_gemma":[0.00001747547,0.00014849441,0.000083237646,0.00025323356,0.00006640381,0.00007889122,0.00015562434,0.00021285485,0.000017785718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000104841965,0.000053551812,0.0018885924,0.000021168613,0.0005083206,0.0000064999663,0.000105052604,0.00029074147,0.99063545,0.00164602,0.00037412008,0.004459976],"study_design_scores_gemma":[0.00027848495,0.000008526622,0.000518836,0.000039707495,0.00046164563,0.0000029648893,0.00004660233,0.00047690343,0.9888923,0.005803734,0.0033026624,0.0001676205],"about_ca_topic_score_codex":0.00004507572,"about_ca_topic_score_gemma":0.000008192469,"teacher_disagreement_score":0.05005575,"about_ca_system_score_codex":0.0000057396874,"about_ca_system_score_gemma":0.000025054955,"threshold_uncertainty_score":0.6055426},"labels":[],"label_agreement":null},{"id":"W4390238980","doi":"10.1016/j.csbj.2023.12.033","title":"PgxSAVy: A tool for comprehensive evaluation of variant peptide quality in proteogenomics – catching the (un)usual suspects","year":2023,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Science and Engineering Research Board; Department of Science and Technology, Ministry of Science and Technology, India; Translational Health Science and Technology Institute; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Proteogenomics; Computational biology; Quality (philosophy); Peptide; Computer science; Biology; Genetics; Biochemistry; Physics; Genomics","score_opus":0.044615757850287124,"score_gpt":0.3495580234177275,"score_spread":0.3049422655674404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390238980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727487,0.00013752225,0.023613302,0.0029445111,0.000025896012,0.00038651717,0.00006157835,0.00006728089,0.000014712577],"genre_scores_gemma":[0.9641906,0.00003678464,0.035539214,0.000035724708,0.000050159902,0.00008302429,0.000050722763,0.000008621534,0.0000051370243],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990225,0.000040097664,0.00039809424,0.0001858876,0.00019120719,0.00016225234],"domain_scores_gemma":[0.9990765,0.00023785017,0.0002882575,0.00011755318,0.0002567716,0.00002308212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005043424,0.000110320834,0.00017237672,0.000105283696,0.0003066836,0.000024519632,0.0001884211,0.00014553516,0.000011782113],"category_scores_gemma":[0.00013460906,0.00008378867,0.000055453478,0.00019801848,0.00016444676,0.000058561312,0.0000854034,0.00035937128,5.229195e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027111685,0.000046309207,0.0030104567,0.00016936938,0.00019816427,0.00001296708,0.00096334843,0.09412944,0.5103223,0.24398741,0.00011692527,0.14677224],"study_design_scores_gemma":[0.0010801828,0.00003559523,0.019217813,0.000031937256,0.000026951102,0.00035079388,0.00045598522,0.15630731,0.0333077,0.78891623,0.0001144343,0.00015507282],"about_ca_topic_score_codex":0.0000074353297,"about_ca_topic_score_gemma":0.0000050194462,"teacher_disagreement_score":0.54492885,"about_ca_system_score_codex":0.00007911986,"about_ca_system_score_gemma":0.0000988056,"threshold_uncertainty_score":0.3416803},"labels":[],"label_agreement":null},{"id":"W4390495577","doi":"10.1038/s42003-023-05687-0","title":"Multiple reaction monitoring assays for large-scale quantitation of proteins from 20 mouse organs and tissues","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; Toronto Centre for Phenogenomics; Hospital for Sick Children; Genome British Columbia; Lunenfeld-Tanenbaum Research Institute; McGill University; University of Victoria","funders":"National Cancer Institute; Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Jewish General Hospital; Genome British Columbia; Ontario Genomics; Genome Canada; McGill University","keywords":"Biology; Computational biology; Selected reaction monitoring; Nod; Proteomics; Molecular biology; Mass spectrometry; Chemistry; Genetics; Tandem mass spectrometry; In vivo; Chromatography; Gene","score_opus":0.04205380887747103,"score_gpt":0.35465387102268686,"score_spread":0.31260006214521585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390495577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5300196,0.0058941813,0.4585117,0.0015365507,0.00005983081,0.0007567846,0.0017420966,0.00048730042,0.0009919866],"genre_scores_gemma":[0.735241,0.0013211606,0.2619124,0.0000032859266,0.000043513897,0.0005830684,0.0007197396,0.000015664844,0.00016016372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948734,0.000018955372,0.00020285588,0.00017399844,0.000022868202,0.00009397755],"domain_scores_gemma":[0.9987681,0.0003735148,0.000078779805,0.0006805447,0.00007700259,0.000022068945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090137204,0.00007520125,0.00011259498,0.000041860567,0.00014747263,0.000014478385,0.00024541555,0.0001225224,0.000009941607],"category_scores_gemma":[0.0000795777,0.00007698897,0.000031339474,0.000081189064,0.000076105156,0.00007481416,0.00012375263,0.00013471683,0.000003281047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070336855,0.000050622017,0.0032940696,0.000041200667,0.000018239725,1.8931315e-8,0.00029096997,0.0000012336246,0.976797,0.015672514,0.000031182757,0.0037959216],"study_design_scores_gemma":[0.00018234244,0.000027957412,0.00011645204,0.000073914256,0.000029069863,9.64613e-7,0.00050351117,0.008323851,0.9008468,0.02117674,0.06860121,0.00011722611],"about_ca_topic_score_codex":0.0001330131,"about_ca_topic_score_gemma":0.00012539924,"teacher_disagreement_score":0.20522144,"about_ca_system_score_codex":0.000033064127,"about_ca_system_score_gemma":0.00001894277,"threshold_uncertainty_score":0.31395188},"labels":[],"label_agreement":null},{"id":"W4390581546","doi":"10.1016/j.mcpro.2024.100713","title":"Full Mass Range ΦSDM Orbitrap Mass Spectrometry for DIA Proteome Analysis","year":2024,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Max-Planck-Gesellschaft; European Commission","keywords":"Orbitrap; Mass spectrometry; Proteome; Chemistry; Chromatography; Isobaric labeling; Range (aeronautics); Ion-mobility spectrometry–mass spectrometry; Protein mass spectrometry; Tandem mass spectrometry; Analytical Chemistry (journal); Selected reaction monitoring; Materials science; Biochemistry","score_opus":0.008604917105087522,"score_gpt":0.2531621095111289,"score_spread":0.24455719240604137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390581546","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16773994,0.0013401243,0.82535696,0.0004414535,0.000055001106,0.0019704802,0.00027401868,0.0006797833,0.002142271],"genre_scores_gemma":[0.35716897,0.00009011984,0.63639235,0.00007686976,0.00022918174,0.0040449533,0.00045694562,0.00018806991,0.0013525315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969943,0.00003336611,0.0006461155,0.0011625811,0.00039451427,0.00076910784],"domain_scores_gemma":[0.99816346,0.00006463113,0.00019076372,0.001219381,0.00013544831,0.00022631855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039309144,0.00054383744,0.0006055064,0.00044321123,0.00021137326,0.0002945991,0.00068322284,0.00042274137,0.00034915324],"category_scores_gemma":[0.000056289206,0.0005725634,0.00093554123,0.0014535411,0.00011555785,0.00015485725,0.00010671568,0.00066402176,0.00006317962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007786277,0.000060617112,0.00004593911,0.000491725,0.00066813343,0.00009034128,0.000037546604,0.00030171926,0.98954296,0.008315462,0.00006262348,0.0003050673],"study_design_scores_gemma":[0.00035028486,0.0000758126,0.0000017043353,0.000061408995,0.0007517808,0.000009930638,0.000023252704,0.013486749,0.9403492,0.0374185,0.0068185,0.0006528847],"about_ca_topic_score_codex":0.000015226354,"about_ca_topic_score_gemma":0.000002478718,"teacher_disagreement_score":0.18942903,"about_ca_system_score_codex":0.00030116606,"about_ca_system_score_gemma":0.000121880694,"threshold_uncertainty_score":0.9996726},"labels":[],"label_agreement":null},{"id":"W4390661659","doi":"10.1016/j.mcpro.2024.100714","title":"Ion Mobility–Based Enrichment-Free N-Terminomics Analysis Reveals Novel Legumain Substrates in Murine Spleen","year":2024,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"National Health and Medical Research Council; Australian Research Council; University of Melbourne; Medical Research Council; Australian Government","keywords":"Proteolysis; Endopeptidase; Cleavage (geology); In vitro; Chemistry; Protease; Biochemistry; Proteome; Fractionation; Cell biology; Biology; Computational biology; Biophysics; Enzyme; Chromatography","score_opus":0.009870547376866382,"score_gpt":0.254155499332868,"score_spread":0.24428495195600164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390661659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6317244,0.00037159614,0.3659982,0.00032770715,0.000022075314,0.00066172634,0.00017765201,0.00023762867,0.0004789918],"genre_scores_gemma":[0.8431407,0.00003778995,0.15488204,0.00008029516,0.00006640186,0.00085209846,0.0005198513,0.00009041644,0.00033035642],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99729586,0.000037850856,0.0007877139,0.0010202057,0.00030267338,0.00055569713],"domain_scores_gemma":[0.99785,0.00006643767,0.00017779422,0.0016807665,0.00007373725,0.00015128843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005022483,0.0004487203,0.0005105196,0.000398407,0.00009827059,0.00018491205,0.0008097422,0.00032349688,0.0001503483],"category_scores_gemma":[0.00006346321,0.0004977414,0.00042623284,0.0011360915,0.00013452399,0.00013792848,0.00025513972,0.0005974545,0.000018663664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028766519,0.0002508439,0.0013137998,0.0002835945,0.00015144024,0.0001261581,0.000041546453,0.005049063,0.98591006,0.006600087,0.00001771086,0.00022694265],"study_design_scores_gemma":[0.0004966036,0.000024153213,0.000064535656,0.00009446446,0.00023379858,0.0000067698406,0.000021072794,0.044628616,0.9406739,0.012651883,0.000612329,0.0004919123],"about_ca_topic_score_codex":0.00011113588,"about_ca_topic_score_gemma":0.000024846559,"teacher_disagreement_score":0.21141632,"about_ca_system_score_codex":0.00039590156,"about_ca_system_score_gemma":0.00012996304,"threshold_uncertainty_score":0.9997474},"labels":[],"label_agreement":null},{"id":"W4390937479","doi":"10.1021/acs.jproteome.3c00591","title":"The 2023 Report on the Proteome from the HUPO Human Proteome Project","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institute on Aging; University of California, San Diego; Farmer Family Foundation; Knut och Alice Wallenbergs Stiftelse; Swiss Institute of Bioinformatics; U.S. National Library of Medicine; Cycle for Survival; Leidos; National Institutes of Health; Canada Research Chairs; Neuroendocrine Tumor Research Foundation; Division of Biological Infrastructure; National Institute of General Medical Sciences; Office of the Director; National Institute of Environmental Health Sciences; Memorial Sloan-Kettering Cancer Center; Canadian Institutes of Health Research; National Science Foundation","keywords":"Human proteome project; Proteome; Human Protein Atlas; Proteomics; Computational biology; Biology; Bioinformatics; Protein expression; Genetics; Gene","score_opus":0.12262523901489851,"score_gpt":0.45338163588794156,"score_spread":0.33075639687304303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390937479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7662551,0.0046324576,0.0052898903,0.16521886,0.00040616878,0.017998984,0.0002627596,0.00046590783,0.03946989],"genre_scores_gemma":[0.9028612,0.0015437444,0.011949818,0.00023482366,0.008209048,0.018163562,0.000042205764,0.00036518427,0.05663045],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952674,0.00036054803,0.0010764457,0.0005055582,0.00202031,0.0007697517],"domain_scores_gemma":[0.9952557,0.0017623921,0.00050452776,0.001584534,0.0007596929,0.00013316913],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008229236,0.0002968271,0.00031327893,0.00016785915,0.0020486645,0.0009204457,0.002260161,0.00021032023,0.00038076873],"category_scores_gemma":[0.0014723539,0.0001285715,0.00034453583,0.0010476956,0.00064751063,0.0002259485,0.00045042904,0.0044859177,0.00010689736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025128617,0.00019304213,0.000114143404,0.00018323275,0.0003073508,0.00057170726,0.0005215607,0.000011533511,0.9290008,0.016360002,0.048085093,0.0044002393],"study_design_scores_gemma":[0.00028216545,0.00037778704,0.00013996068,0.0011468986,0.000033823402,0.00050471054,0.00074460334,0.00014927906,0.41834307,0.10931039,0.46867478,0.00029254335],"about_ca_topic_score_codex":0.00023282242,"about_ca_topic_score_gemma":0.000023602415,"teacher_disagreement_score":0.5106577,"about_ca_system_score_codex":0.00039627842,"about_ca_system_score_gemma":0.0007980933,"threshold_uncertainty_score":0.99925053},"labels":[],"label_agreement":null},{"id":"W4391244173","doi":"10.1101/2024.01.15.575772","title":"MassDash: A Web-based Dashboard for Data-Independent Acquisition Mass Spectrometry Visualization","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Python (programming language); Computer science; Visualization; MIT License; Software; Modular design; Web application; Graphical user interface; Data visualization; Data mining; Human–computer interaction; World Wide Web; Programming language","score_opus":0.01953158029513079,"score_gpt":0.28135687175981594,"score_spread":0.26182529146468514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391244173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11161414,0.0010206776,0.8709303,0.0006972055,0.0006878771,0.002179488,0.009156059,0.0036182827,0.000095986325],"genre_scores_gemma":[0.76016957,0.00016750461,0.23592067,0.00019451354,0.0009005119,0.0022188153,0.00007777835,0.00032215193,0.000028459597],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962533,0.000032701057,0.0007390543,0.001895398,0.00048271884,0.0005968008],"domain_scores_gemma":[0.9956324,0.00009146173,0.0005519019,0.003095543,0.00040280318,0.00022588781],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054940965,0.00068410364,0.0005737805,0.0003416207,0.00020762369,0.00041898576,0.0013041398,0.00088032853,0.0002203214],"category_scores_gemma":[0.000109707245,0.00079674483,0.00022717162,0.0005047124,0.000082534694,0.00015185507,0.0010477126,0.00093617296,0.000071798146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004412956,0.00012791432,0.0002640466,0.0018514573,0.00012701897,0.000013093934,0.0000013163717,0.00013590962,0.990136,0.0059515843,0.0013448746,0.0000026015953],"study_design_scores_gemma":[0.00060882507,0.0000285587,0.00009406653,0.00070670166,0.00032334606,1.8797426e-8,0.0000015251481,0.056064833,0.92376715,0.00039374465,0.017022708,0.0009885078],"about_ca_topic_score_codex":0.000010860831,"about_ca_topic_score_gemma":0.0000011893169,"teacher_disagreement_score":0.64855546,"about_ca_system_score_codex":0.0007114264,"about_ca_system_score_gemma":0.0007415276,"threshold_uncertainty_score":0.99944836},"labels":[],"label_agreement":null},{"id":"W4391359379","doi":"10.1186/s12014-024-09452-1","title":"Recent developments in mass-spectrometry-based targeted proteomics of clinical cancer biomarkers","year":2024,"lang":"en","type":"review","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Ontario Ministry of Health and Long-Term Care","keywords":"Proteomics; Biomarker discovery; Biomarker; Cancer biomarkers; Quantitative proteomics; Cancer; Medicine; Computational biology; Workflow; Bioinformatics; Computer science; Biology; Internal medicine","score_opus":0.147839258695487,"score_gpt":0.48470526227128,"score_spread":0.336866003575793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391359379","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029428434,0.97859025,0.012355485,0.00019209142,0.00065498514,0.005251147,0.0010884412,0.00036064576,0.001212668],"genre_scores_gemma":[0.000008818924,0.6332232,0.36232454,0.00005472421,0.00032094726,0.0033200872,0.0003516992,0.00019399228,0.00020203287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9888337,0.00030279,0.00761831,0.0019530727,0.00047853202,0.0008135852],"domain_scores_gemma":[0.9940042,0.00086904294,0.0029347641,0.001545957,0.00025570457,0.0003903342],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0029152576,0.0010525059,0.0046159006,0.00044315326,0.00007997381,0.000063736974,0.0015224607,0.0026186022,0.00032363777],"category_scores_gemma":[0.0016052641,0.0009183245,0.0017699994,0.0015582124,0.0005581541,0.000082592225,0.00044371767,0.0040392834,0.000095379844],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023646423,0.00089313,0.00095051795,0.022634525,0.0008844012,0.000037142505,0.00000759301,0.000008370243,0.00037249192,0.00037393265,0.00096454984,0.9726369],"study_design_scores_gemma":[0.0011749292,0.000106993975,0.000013075729,0.018948548,0.00091475673,0.0000047514386,0.000006378185,0.0003197112,0.002310298,0.0024495185,0.9724753,0.0012757645],"about_ca_topic_score_codex":0.000023681509,"about_ca_topic_score_gemma":0.000015305444,"teacher_disagreement_score":0.9715107,"about_ca_system_score_codex":0.00076693913,"about_ca_system_score_gemma":0.003820065,"threshold_uncertainty_score":0.9993267},"labels":[],"label_agreement":null},{"id":"W4391431836","doi":"10.3390/biomedicines12020333","title":"Application of SWATH Mass Spectrometry and Machine Learning in the Diagnosis of Inflammatory Bowel Disease Based on the Stool Proteome","year":2024,"lang":"en","type":"article","venue":"Biomedicines","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Faculty of Medicine and Health, University of Sydney; Natural Sciences and Engineering Research Council of Canada; Mitacs; Crohn's and Colitis Canada; Université de Sherbrooke","keywords":"Support vector machine; Random forest; Artificial intelligence; Naive Bayes classifier; Machine learning; Proteome; Gold standard (test); Computer science; Inflammatory bowel disease; Calprotectin; Pipeline (software); Feature selection; Logistic regression; Disease; Medicine; Bioinformatics; Pathology; Biology; Internal medicine","score_opus":0.01003485766034009,"score_gpt":0.25959257866881735,"score_spread":0.24955772100847726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391431836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94302183,0.0022406427,0.042192634,0.010488937,0.000016816106,0.001164857,0.00011080985,0.00013979527,0.00062369154],"genre_scores_gemma":[0.9973191,0.00019558231,0.0013246308,0.00006042785,0.000059728754,0.0009681339,0.00002686992,0.000012502714,0.00003299487],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938494,0.0000186751,0.00019769298,0.00015752208,0.00015920358,0.000081966515],"domain_scores_gemma":[0.9993111,0.00028767152,0.000086074826,0.00027079674,0.000018916366,0.00002544039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025138637,0.00008940021,0.00009510147,0.00009913584,0.000040043495,0.000008253417,0.00015888688,0.000035790046,0.000028877044],"category_scores_gemma":[0.00007882998,0.00004949781,0.000031430085,0.0002847501,0.00014242566,0.000023459454,0.000020201473,0.00017025153,8.717116e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114592054,0.00021475433,0.17922194,0.0021854888,0.000029794262,0.000009497509,0.00041599775,0.00018164952,0.79376197,0.012281368,0.000246901,0.011336019],"study_design_scores_gemma":[0.0010201279,0.00029748923,0.055642627,0.0020478165,0.00016865846,0.000005269506,0.0008147895,0.15240759,0.7317173,0.024966909,0.030392626,0.00051883195],"about_ca_topic_score_codex":0.0000244101,"about_ca_topic_score_gemma":0.00000127466,"teacher_disagreement_score":0.15222593,"about_ca_system_score_codex":0.000019770234,"about_ca_system_score_gemma":0.000023638351,"threshold_uncertainty_score":0.20184621},"labels":[],"label_agreement":null},{"id":"W4391437855","doi":"10.1002/pmic.202300339","title":"Assessing the precision of a detergent‐assisted cartridge precipitation workflow for non‐targeted quantitative proteomics","year":2024,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Aptose Biosciences (Canada); Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cartridge; Chromatography; Proteome; Workflow; Protein precipitation; Proteomics; Sample preparation; Sodium dodecyl sulfate; Mass spectrometry; Chemistry; Digestion (alchemy); Computer science; Materials science; Biochemistry; Database","score_opus":0.04108310899868525,"score_gpt":0.3607989359771709,"score_spread":0.31971582697848566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391437855","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32861924,0.00025499842,0.6677885,0.00027508792,0.00009047966,0.0022930831,0.00015223902,0.0001842313,0.00034215444],"genre_scores_gemma":[0.425128,0.000060258317,0.5709995,0.000015090743,0.00009236975,0.003364671,0.00010259247,0.000059770227,0.00017773408],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983079,0.00003221777,0.00063629483,0.000489275,0.00022263246,0.00031170415],"domain_scores_gemma":[0.99834687,0.00048180213,0.00031948238,0.00050454354,0.00028522042,0.00006205955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048282807,0.00026007663,0.00028767722,0.00009492952,0.00026088997,0.00021426057,0.00037097052,0.0002059502,0.000026578602],"category_scores_gemma":[0.00031225855,0.00020551587,0.0002242442,0.00040122206,0.00011562976,0.00037522957,0.00009872975,0.0003453042,0.000006198974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010919001,0.00007452259,0.00011044707,0.0005015112,0.00006618058,7.7149167e-7,0.00058406004,0.0003248676,0.97592896,0.0037866593,0.00018107433,0.018331759],"study_design_scores_gemma":[0.00030445922,0.00007284535,0.00012047025,0.0004645577,0.000067477005,0.0000059262616,0.00021762741,0.086683564,0.887751,0.022531547,0.0015255316,0.00025500727],"about_ca_topic_score_codex":0.000012946601,"about_ca_topic_score_gemma":0.0000059507024,"teacher_disagreement_score":0.09678898,"about_ca_system_score_codex":0.0001679093,"about_ca_system_score_gemma":0.00018308168,"threshold_uncertainty_score":0.83806944},"labels":[],"label_agreement":null},{"id":"W4391746212","doi":"10.1007/s00125-024-06097-5","title":"Harnessing the power of proteomics in precision diabetes medicine","year":2024,"lang":"en","type":"article","venue":"Diabetologia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Novo Nordisk Foundation Center for Basic Metabolic Research; Novo Nordisk; Centro de Investigação em Biomedicina; Novo Nordisk Fonden; European Foundation for the Study of Diabetes","keywords":"Human physiology; Proteomics; Precision medicine; Diabetes mellitus; Medicine; Computational biology; Computer science; Internal medicine; Biology; Endocrinology; Pathology; Genetics","score_opus":0.013882933605654261,"score_gpt":0.29143603532026885,"score_spread":0.2775531017146146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391746212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873598,0.0013243748,0.0049252887,0.0011919938,0.00004572776,0.00021276322,0.000011913364,0.00013404575,0.004794045],"genre_scores_gemma":[0.9909476,0.000057745558,0.008541028,0.00004452575,0.000033556287,0.0002140089,0.000010316823,0.000015321744,0.00013591451],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992694,0.000011811564,0.0002623161,0.00019991692,0.000092675866,0.00016383288],"domain_scores_gemma":[0.99935234,0.00022886269,0.000063673506,0.0003091115,0.000027063108,0.000018936144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023210395,0.00009810462,0.00017171536,0.000049581882,0.000038692873,0.000014581975,0.0002367361,0.000097218486,0.00018260523],"category_scores_gemma":[0.00013025712,0.00006022436,0.00003666727,0.00023736592,0.0001689431,0.000057774512,0.00007217339,0.0002484686,0.000005589717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006976616,0.00004099795,0.022960698,0.00019152202,0.000015290276,0.0000028069787,0.00042145106,0.000025688312,0.94539636,0.013024969,0.0006591603,0.017254086],"study_design_scores_gemma":[0.00013080204,0.000027135302,0.0017464521,0.00064416346,0.000013242981,0.0000012467102,0.00013695654,0.0021316907,0.93726254,0.053094897,0.004673329,0.0001375505],"about_ca_topic_score_codex":0.000008349175,"about_ca_topic_score_gemma":0.0000013747984,"teacher_disagreement_score":0.040069927,"about_ca_system_score_codex":0.000033339496,"about_ca_system_score_gemma":0.000020832511,"threshold_uncertainty_score":0.24558781},"labels":[],"label_agreement":null},{"id":"W4391906565","doi":"10.1016/j.chroma.2024.464714","title":"Retention time prediction for post-translationally modified peptides: Ser, Thr, Tyr-phosphorylation","year":2024,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"Japan Science and Technology Agency; Japan Society for the Promotion of Science; Core Research for Evolutional Science and Technology; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Peptide; Formic acid; Trifluoroacetic acid; Phosphorylation; Threonine; Hydrophilic interaction chromatography; Chromatography; Serine; High-performance liquid chromatography; Biochemistry","score_opus":0.011039985605242775,"score_gpt":0.2575235569070612,"score_spread":0.24648357130181842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391906565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4435911,0.0032615247,0.54874986,0.00094702805,0.00017736477,0.00046335612,0.00040363075,0.000350467,0.0020556732],"genre_scores_gemma":[0.94786876,0.00050650723,0.05081218,0.000029467654,0.00032685214,0.00008372158,0.00015569199,0.00003815793,0.00017866779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893254,0.000007794339,0.0005262143,0.00016551117,0.00023531984,0.00013264871],"domain_scores_gemma":[0.999134,0.00008134582,0.00026235124,0.00014045136,0.00031850702,0.00006334018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023299763,0.00012920139,0.00016530846,0.00019653587,0.00010629013,0.00007645322,0.00013216141,0.0001353774,0.000118402204],"category_scores_gemma":[0.000018404307,0.00011993681,0.00040234343,0.0002463649,0.000036421057,0.00039495446,0.000008080487,0.00020175912,0.0000048443676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018263911,0.00009564041,0.00035623045,0.00034023024,0.00020094577,0.000004153541,0.00018824541,0.0006871067,0.9798252,0.0072710817,0.0019115588,0.008936988],"study_design_scores_gemma":[0.002743453,0.0007763791,0.0035326895,0.0024475858,0.00069561886,0.000641833,0.00021210786,0.08649902,0.55576086,0.26329035,0.08249875,0.00090134045],"about_ca_topic_score_codex":0.0000020401085,"about_ca_topic_score_gemma":6.069633e-7,"teacher_disagreement_score":0.50427765,"about_ca_system_score_codex":0.00004741917,"about_ca_system_score_gemma":0.00007589305,"threshold_uncertainty_score":0.48908815},"labels":[],"label_agreement":null},{"id":"W4392510988","doi":"10.1016/j.cell.2024.02.014","title":"Proteome-scale movements and compartment connectivity during the eukaryotic cell cycle","year":2024,"lang":"en","type":"article","venue":"Cell","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health; Deutsche Forschungsgemeinschaft; Canada Foundation for Innovation; Ontario Research Foundation; Canadian Institute for Advanced Research; Nvidia","keywords":"Proteome; Biology; Cell cycle; Protein subcellular localization prediction; Cell biology; Subcellular localization; Compartment (ship); Cell Cycle Protein; Cell; Computational biology; Proteomics; Bioinformatics; Cytoplasm; Genetics; Gene","score_opus":0.007405347606571622,"score_gpt":0.24013679775371508,"score_spread":0.23273145014714344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392510988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97673726,0.0003934545,0.0027004282,0.00013345832,0.000020211819,0.0003309391,0.000026776881,0.00017951119,0.019477934],"genre_scores_gemma":[0.9925635,0.00006915231,0.0019698103,0.000031232725,0.00005193647,0.0003182306,0.0000068818795,0.000019244882,0.0049699973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994212,0.0000059178437,0.00010864002,0.00023666995,0.000074678464,0.00015290087],"domain_scores_gemma":[0.99962664,0.000033468194,0.000030433588,0.000254429,0.000010019789,0.000045016182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005035306,0.000101437734,0.0000801772,0.000012246928,0.00015588367,0.000054983164,0.00011015955,0.00003726863,0.00013999389],"category_scores_gemma":[0.0000012502557,0.00007836908,0.00003305436,0.000058122514,0.000045995293,0.000047787453,0.000102488215,0.00016518164,0.000033329747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007340334,0.00013034539,0.0016703776,0.00055202586,0.000008909534,0.0000049017217,0.00020363531,0.000104428174,0.99654686,0.00016901024,0.00019283436,0.00040930172],"study_design_scores_gemma":[0.0001457705,0.000007690738,0.0007057056,0.000029243276,0.000009092423,0.0000026927078,0.000059163303,0.001845061,0.9896472,0.002755724,0.0046853786,0.00010728658],"about_ca_topic_score_codex":0.000012751195,"about_ca_topic_score_gemma":0.0000023827913,"teacher_disagreement_score":0.015826227,"about_ca_system_score_codex":0.000052530435,"about_ca_system_score_gemma":0.000010641337,"threshold_uncertainty_score":0.31957984},"labels":[],"label_agreement":null},{"id":"W4392602887","doi":"10.1016/j.ab.2024.115497","title":"Extraction of naturally occurring peptides versus the tryptic digestion of proteins from fetal versus adult bovine serum for LC-ESI-MS/MS","year":2024,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dow Chemical (Canada); Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Blood proteins; Tandem mass spectrometry; Bovine serum albumin; Trypsin; Biochemistry; Molecular biology; Enzyme; Mass spectrometry; Biology","score_opus":0.016553277881744613,"score_gpt":0.3090311323444853,"score_spread":0.2924778544627407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392602887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98801196,0.00033501553,0.007912751,0.00043832476,0.00008032872,0.00026089585,0.0004899327,0.00013636253,0.0023344492],"genre_scores_gemma":[0.99077904,0.000043306994,0.00825212,0.000009184775,0.00025718234,0.00013069905,0.00018778085,0.000024978839,0.0003156938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988197,0.0000043860155,0.00038953754,0.00037160143,0.00020722648,0.00020756325],"domain_scores_gemma":[0.99875003,0.00045066464,0.00015178465,0.00042111293,0.00015992062,0.00006648404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007431613,0.00018896215,0.00021189707,0.000023487453,0.00007891643,0.000031558066,0.0002649098,0.00022510433,0.00012535536],"category_scores_gemma":[0.00036028298,0.00015390142,0.00022459266,0.00017052487,0.0001653145,0.00008225427,0.00006702629,0.00034134038,0.000003923098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007716651,0.00008338046,0.00005916223,0.00048253866,0.00016373687,0.0000019117401,0.000023636128,0.000023717805,0.9916797,0.0032624376,0.00017714001,0.0032709523],"study_design_scores_gemma":[0.0005875796,0.00007663575,0.000032958185,0.00025284963,0.00020250809,0.000002412651,0.000109396366,0.010552538,0.9856168,0.0017921369,0.00060146913,0.00017269538],"about_ca_topic_score_codex":0.00007575672,"about_ca_topic_score_gemma":0.0000062704294,"teacher_disagreement_score":0.01052882,"about_ca_system_score_codex":0.00010480477,"about_ca_system_score_gemma":0.00007648508,"threshold_uncertainty_score":0.6275918},"labels":[],"label_agreement":null},{"id":"W4393118151","doi":"10.1101/2024.03.20.586018","title":"Paradigm shift in biomarker translation: a pipeline to generate clinical grade biomarker candidates from DIA-MS discovery","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Inflammatory Bowel and Immunobiology Research Institute; Cedars-Sinai Medical Center; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Biomarker discovery; Biomarker; Computational biology; Computer science; Bioinformatics; Medicine; Oncology; Data mining; Proteomics; Chemistry; Biology","score_opus":0.0344465996387007,"score_gpt":0.2999293772774576,"score_spread":0.26548277763875694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393118151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93259734,0.0038122155,0.051930677,0.0043995245,0.00066334853,0.001173942,0.004497251,0.0008805882,0.00004510925],"genre_scores_gemma":[0.9702244,0.0008324871,0.026050543,0.00032649105,0.00077568175,0.0015066792,0.000021885216,0.00024365114,0.000018222008],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99548894,0.00009441275,0.0014491017,0.0019653405,0.00034016225,0.0006620134],"domain_scores_gemma":[0.99708575,0.00021638512,0.0003691291,0.0018667857,0.000061326005,0.0004006245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005607573,0.0008120991,0.0008882755,0.0002939763,0.00011221191,0.00045148778,0.0008204626,0.0009901604,0.00012858781],"category_scores_gemma":[0.00007688876,0.0008486096,0.00035355933,0.0007379742,0.00015582507,0.00017351682,0.00070699374,0.0014076474,0.00011563199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021605699,0.00049475965,0.01375172,0.0005237406,0.0003364606,0.00017041042,0.000031827705,0.000094384035,0.9798832,0.0025709393,0.001854251,0.00007225667],"study_design_scores_gemma":[0.0015332861,0.00003430075,0.038004886,0.0020618136,0.00044698283,5.8103385e-8,0.0000026725338,0.007238512,0.8822599,0.0036634074,0.061462507,0.003291641],"about_ca_topic_score_codex":0.00057097676,"about_ca_topic_score_gemma":0.00010056607,"teacher_disagreement_score":0.09762326,"about_ca_system_score_codex":0.00031049404,"about_ca_system_score_gemma":0.00046724794,"threshold_uncertainty_score":0.99939644},"labels":[],"label_agreement":null},{"id":"W4393168007","doi":"10.1016/j.jbc.2024.106662","title":"Abstract 2348 Deployment of Quantitative Proteomics Approaches in Defining Dynamic Changes the Diel Plant Proteome","year":2024,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteome; Diel vertical migration; Proteomics; Software deployment; Computational biology; Quantitative proteomics; Biology; Computer science; Bioinformatics; Ecology; Biochemistry","score_opus":0.07118787437613934,"score_gpt":0.3106297579965542,"score_spread":0.23944188362041485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393168007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937965,0.0020871614,0.002048019,0.0007838619,0.0000157726,0.00019826928,0.00009514014,0.000037134498,0.00093813776],"genre_scores_gemma":[0.97941405,0.0005665811,0.019755192,0.000013656372,0.000052508247,0.00013053058,0.000018654684,0.000014941119,0.000033867793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989023,0.000011521564,0.00053709326,0.00020141566,0.00015192604,0.00019574034],"domain_scores_gemma":[0.9991131,0.00022702552,0.00039274874,0.00017166145,0.000044518787,0.000050939405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003973694,0.00016698694,0.00029148665,0.00003045247,0.000042522497,0.000027031434,0.00035639046,0.0001961247,0.000061021285],"category_scores_gemma":[0.00012303605,0.00009711943,0.00012795434,0.00013550559,0.00016006544,0.000046712357,0.000082906925,0.0007080105,0.0000012988601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113616436,0.00011691168,0.00047528782,0.00036471762,0.000045338405,0.000026082082,0.00014922715,0.00009490979,0.996087,0.0006886122,0.000018113271,0.0018201583],"study_design_scores_gemma":[0.00017649065,0.00007596775,0.00030563105,0.0005331896,0.000015373018,0.000100068944,0.0006000003,0.0009467066,0.9907732,0.0057358025,0.00058469886,0.00015284236],"about_ca_topic_score_codex":0.0000039016772,"about_ca_topic_score_gemma":0.000002422723,"teacher_disagreement_score":0.017707173,"about_ca_system_score_codex":0.000108433305,"about_ca_system_score_gemma":0.00006452631,"threshold_uncertainty_score":0.39604154},"labels":[],"label_agreement":null},{"id":"W4393191441","doi":"10.1021/acs.jproteome.4c00018","title":"Toward an Ultimate Solution for Peptide Retention Time Prediction: The Effect of Column Temperature on Separation Selectivity","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peptide; Chemistry; Chromatography; Tandem mass spectrometry; Mass spectrometry; Selectivity; Retention time; Acetonitrile; Analytical Chemistry (journal); Biochemistry","score_opus":0.046657898359838176,"score_gpt":0.407773961750129,"score_spread":0.3611160633902908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393191441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667194,0.0002376172,0.028140312,0.0017224761,0.00006507737,0.002120312,0.00014126256,0.00009188916,0.0007616677],"genre_scores_gemma":[0.9911526,0.00006556327,0.006430559,0.0000030681033,0.00054680096,0.0006062001,0.00003245309,0.000027009422,0.0011357557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985407,0.0001694444,0.00034861296,0.00019361045,0.000536274,0.0002113748],"domain_scores_gemma":[0.9986855,0.00032733777,0.00016485446,0.00022418864,0.0005360442,0.00006206992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031236403,0.00010312149,0.0001816318,0.00014078956,0.0002686218,0.00011189634,0.00022144179,0.00015235147,0.00005238396],"category_scores_gemma":[0.00025336313,0.0000689213,0.00014638937,0.00034387896,0.00008427205,0.00030267972,0.00002993457,0.0008490717,0.0000062257955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056236464,0.000047098238,0.000041370582,0.00044477073,0.000039347586,0.0000019844483,0.0000867127,0.0001540768,0.99315363,0.00021126165,0.0025833037,0.0026740637],"study_design_scores_gemma":[0.0003570932,0.0022123302,0.0000972754,0.00043135398,0.00003096609,0.00006061257,0.000017686709,0.028548934,0.96218884,0.0036319336,0.0023523078,0.00007064022],"about_ca_topic_score_codex":0.000006421391,"about_ca_topic_score_gemma":0.0000010948514,"teacher_disagreement_score":0.030964779,"about_ca_system_score_codex":0.0002621883,"about_ca_system_score_gemma":0.00012961999,"threshold_uncertainty_score":0.36888412},"labels":[],"label_agreement":null},{"id":"W4393222579","doi":"10.1002/pro.4979","title":"Integrating the analysis of human biopsies using post‐translational modifications proteomics","year":2024,"lang":"en","type":"article","venue":"Protein Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Bone and Joint Health Institute; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Computational biology; Proteomics; Human proteome project; Human disease; Proteome; Posttranslational modification; Disease; Biology; Proteogenomics; Microbiome; Shotgun proteomics; Bioinformatics; Genome; Genomics; Medicine; Genetics; Biochemistry; Gene; Pathology","score_opus":0.03653770556634556,"score_gpt":0.35139299213527236,"score_spread":0.3148552865689268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393222579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75116855,0.000102258055,0.2463182,0.00047951116,0.0000067034425,0.0003408842,0.00007361994,0.000104181556,0.0014061023],"genre_scores_gemma":[0.85047966,0.0000020795728,0.14916162,0.0000072872585,0.000019517258,0.00022320115,0.000011093392,0.0000072238554,0.00008833599],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989936,0.0000071616905,0.00027253057,0.00030022927,0.0002717689,0.00015471697],"domain_scores_gemma":[0.9992309,0.000043511438,0.00010194544,0.00038434938,0.0002071134,0.000032132786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039870307,0.000089448244,0.000106640524,0.00021686855,0.0005249262,0.0001274568,0.00051076943,0.00003609363,0.00007671893],"category_scores_gemma":[0.00007452873,0.0000644268,0.00009262315,0.0022372066,0.0006446508,0.0002252065,0.00006586955,0.00016997126,0.000001429979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.419561e-7,0.0000112933685,0.00008765986,0.000021753005,0.00002220701,1.0188799e-7,0.0002792454,0.0008753998,0.8971765,0.10046627,4.5073259e-7,0.0010582526],"study_design_scores_gemma":[0.000014323927,0.0000038851376,0.00009921357,0.00005579062,0.00007334675,0.0000013230101,0.00015176466,0.19151531,0.79537594,0.012560392,0.000066538596,0.00008214866],"about_ca_topic_score_codex":0.00012072106,"about_ca_topic_score_gemma":0.000013322851,"teacher_disagreement_score":0.19063991,"about_ca_system_score_codex":0.000055261207,"about_ca_system_score_gemma":0.00017698984,"threshold_uncertainty_score":0.40373605},"labels":[],"label_agreement":null},{"id":"W4393285653","doi":"10.1007/978-1-0716-3646-6_4","title":"Data-Independent Acquisition Peptidomics","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pipeline (software); Workflow; Computer science; Throughput; Protocol (science); Data acquisition; Data mining; Matching (statistics); Real-time computing; Database; Operating system","score_opus":0.03653417789160042,"score_gpt":0.4446703254315251,"score_spread":0.4081361475399247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393285653","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032955909,0.0010219499,0.99079895,0.00025239371,0.00006362162,0.00009251542,0.00011367313,0.00016431416,0.0041969647],"genre_scores_gemma":[0.00815875,0.00014679108,0.9908454,0.00013852367,0.000060890503,0.00011520767,0.0003527294,0.000023759727,0.00015793635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990209,0.00008488659,0.00021218952,0.00046523646,0.000037232476,0.0001795786],"domain_scores_gemma":[0.99912035,0.000107150554,0.000032014075,0.00069738255,0.000013648844,0.00002942747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005531348,0.000107970925,0.00013734605,0.000066668385,0.00002492419,0.000021027234,0.00040583225,0.00019105033,0.00020513889],"category_scores_gemma":[0.000056600344,0.00010567189,0.00004126671,0.00013476437,0.00005511907,0.000036459587,0.00029074898,0.0002818181,0.000014991262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004223775,0.000013904482,0.000038674745,0.00002502761,0.000010932638,0.000015368934,0.000010248317,0.000018702352,0.9111823,0.049447015,0.00004195877,0.03919168],"study_design_scores_gemma":[0.000086978296,0.000009068818,0.000002780098,0.000025842894,0.000011937209,0.000023507158,0.000014248727,0.006500032,0.7420883,0.18698046,0.06411543,0.000141378],"about_ca_topic_score_codex":0.000011814137,"about_ca_topic_score_gemma":0.0000025510508,"teacher_disagreement_score":0.16909392,"about_ca_system_score_codex":0.000059131762,"about_ca_system_score_gemma":0.000027895925,"threshold_uncertainty_score":0.43091744},"labels":[],"label_agreement":null},{"id":"W4393411029","doi":"10.1016/j.crmeth.2024.100741","title":"Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium","year":2024,"lang":"en","type":"article","venue":"Cell Reports Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; Canadian Cancer Society","keywords":"Proteomics; Biology; Progenitor cell; Epithelium; Cell biology; Computational biology; Basal (medicine); Progenitor; Stem cell; Genetics; Gene; Endocrinology","score_opus":0.017780899936596314,"score_gpt":0.3581364555633417,"score_spread":0.3403555556267454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393411029","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04147107,0.0006507564,0.9458538,0.00046560392,0.00018121496,0.001636905,0.00003111163,0.00045880655,0.009250725],"genre_scores_gemma":[0.023328342,0.00004063518,0.96471626,0.00012135088,0.00017350468,0.0048697554,0.00007924033,0.0001056916,0.0065652067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979071,0.00006770661,0.0007382739,0.00074984715,0.00015036503,0.00038671578],"domain_scores_gemma":[0.9983628,0.00035095465,0.00023972697,0.0008429425,0.000082363826,0.00012120294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001596279,0.00026833,0.00032102046,0.00012274939,0.00007952541,0.00008807232,0.00020906619,0.00026913141,0.00014880089],"category_scores_gemma":[0.00028363458,0.0002623224,0.0002273923,0.00029072003,0.000053524887,0.00010606498,0.00008731133,0.00037096522,0.0000046840123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000381227,0.00009611921,0.0006679053,0.0008659674,0.00001564652,0.00023351045,0.0000402732,0.000028851799,0.97993785,0.0008106311,0.0007165908,0.01654853],"study_design_scores_gemma":[0.00012007762,0.00001943918,0.000017085176,0.0001371142,0.000027312084,0.000071604416,0.000013940225,0.0030794716,0.86264855,0.065137915,0.068434805,0.0002926924],"about_ca_topic_score_codex":0.00002542397,"about_ca_topic_score_gemma":0.0000012598143,"teacher_disagreement_score":0.11728931,"about_ca_system_score_codex":0.00017453276,"about_ca_system_score_gemma":0.0003298856,"threshold_uncertainty_score":0.9999829},"labels":[],"label_agreement":null},{"id":"W4393530247","doi":"10.5281/zenodo.5820338","title":"The Fano 3-fold database","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Research Councils UK","keywords":"Fold (higher-order function); Fano plane; Database; Computer science; Chemistry; Mathematics; Programming language; Geometry","score_opus":0.0293209782359912,"score_gpt":0.2742468872268275,"score_spread":0.2449259089908363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393530247","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011445752,0.00016644722,0.0007212301,0.00043051428,0.00004999732,0.0003402803,0.9757019,0.00069738046,0.021880805],"genre_scores_gemma":[0.000027739326,0.0017604344,0.00028444713,0.00010729349,0.00018205245,9.2151305e-7,0.99434865,0.0011868674,0.0021016141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981943,0.00010903396,0.00031075178,0.0005494861,0.00044104454,0.00039543075],"domain_scores_gemma":[0.99761647,0.00005802403,0.0002441661,0.0017318443,0.0002125571,0.00013695793],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004698175,0.00022325039,0.0001599114,0.00008815319,0.006435942,0.0007164612,0.002997208,0.00011336256,0.259326],"category_scores_gemma":[0.0004042004,0.00020717303,0.000080393875,0.0003293805,0.00019217555,0.00010258035,0.0041046515,0.0010318075,0.0027383068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002384924,0.00006786155,1.7951042e-8,0.000078350866,0.000028560375,0.000008518899,0.000015789057,0.000005253964,0.001510235,0.0012171295,0.9860811,0.01096333],"study_design_scores_gemma":[0.0001411357,0.000033265118,2.093672e-7,0.000020093175,0.000024268138,0.00006379331,0.00007567209,0.000014785039,0.00075834116,0.00030962046,0.99832433,0.00023446044],"about_ca_topic_score_codex":0.00003461739,"about_ca_topic_score_gemma":6.751414e-7,"teacher_disagreement_score":0.2565877,"about_ca_system_score_codex":0.00024340372,"about_ca_system_score_gemma":0.0000070082283,"threshold_uncertainty_score":0.9980382},"labels":[],"label_agreement":null},{"id":"W4393589649","doi":"10.5281/zenodo.630180","title":"Mass Spectrometry .Raw Files And Methods For Huntingtin Limited Proteolysis (2016/02/11)","year":2016,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Huntingtin; Proteolysis; Mass spectrometry; Chemistry; Computational biology; Chromatography; Biology; Biochemistry; Gene","score_opus":0.02399189298822255,"score_gpt":0.30614188715845686,"score_spread":0.2821499941702343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393589649","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000480081,0.00014502279,0.19000912,0.00046469495,0.000026508213,0.0010209728,0.8032434,0.00077109586,0.00427119],"genre_scores_gemma":[0.00004034724,0.0008936267,0.1325592,0.00006453086,0.000378991,0.0000038261774,0.86236787,0.0015349276,0.0021566853],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977295,0.00015102951,0.00046230364,0.0008817056,0.00024026247,0.00053519657],"domain_scores_gemma":[0.99757177,0.00015536015,0.00043582026,0.0011385044,0.0004938374,0.00020474104],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00075584475,0.00035726625,0.00039416336,0.00032446138,0.001687855,0.00058773166,0.0013635932,0.0003350126,0.015944863],"category_scores_gemma":[0.0014314522,0.00034151683,0.00012557313,0.00040124403,0.00023488842,0.00015472494,0.0012985595,0.00049394794,0.00061919383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042253763,0.00006376836,1.6734158e-7,0.00039840053,0.000065050735,0.0000016726118,0.000020116755,6.530687e-7,0.068706125,0.0004872126,0.88910246,0.041112114],"study_design_scores_gemma":[0.0003806902,0.00008240895,0.0000011326441,0.0001514713,0.00007112739,0.000032079286,0.000039238614,0.00005653291,0.033251688,0.0020154105,0.9635189,0.00039933334],"about_ca_topic_score_codex":0.000016658807,"about_ca_topic_score_gemma":2.7995628e-7,"teacher_disagreement_score":0.07441642,"about_ca_system_score_codex":0.00018493878,"about_ca_system_score_gemma":0.000008878015,"threshold_uncertainty_score":0.9999037},"labels":[],"label_agreement":null},{"id":"W4393664314","doi":"10.5281/zenodo.3743879","title":"Proteomics of S and N proteins","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteomics; Computational biology; Biology; Genetics; Gene","score_opus":0.028801582431788604,"score_gpt":0.26372239848025336,"score_spread":0.23492081604846476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393664314","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012940288,0.000040925202,0.0034376222,0.00024964366,0.0000068564395,0.0006699128,0.9900736,0.0003741845,0.005017834],"genre_scores_gemma":[0.0003827195,0.00047747837,0.0059284684,0.00004295223,0.0001165222,5.462795e-7,0.992096,0.0008266881,0.0001285915],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988327,0.000039643226,0.00029371632,0.00042285078,0.0002115938,0.0001994837],"domain_scores_gemma":[0.9987601,0.000011117006,0.0002696871,0.0005772573,0.0002479591,0.0001339032],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001416171,0.000179521,0.00022586803,0.00008477101,0.0006755445,0.00018473814,0.00091001,0.00017181294,0.004451607],"category_scores_gemma":[0.0003053025,0.00019816576,0.00004642153,0.00020381626,0.00018771282,0.00007037635,0.0014090264,0.00050942105,0.0008033761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031284322,0.00006297141,6.0007935e-8,0.0005834963,0.00002491876,0.0000030139652,0.000041117895,0.0000019885015,0.021333743,0.0004778998,0.9701969,0.0072426214],"study_design_scores_gemma":[0.00017815696,0.00007739866,6.7535245e-7,0.000080192214,0.000022112175,0.00003372238,0.000026626694,0.000030959054,0.015203072,0.00044771715,0.9837176,0.0001817535],"about_ca_topic_score_codex":0.00001575642,"about_ca_topic_score_gemma":1.3286976e-7,"teacher_disagreement_score":0.013520729,"about_ca_system_score_codex":0.00006421365,"about_ca_system_score_gemma":0.000005166573,"threshold_uncertainty_score":0.9999746},"labels":[],"label_agreement":null},{"id":"W4393930799","doi":"10.1016/j.bbamcr.2024.119720","title":"Network analysis of S-nitrosylated synaptic proteins demonstrates unique roles in health and disease","year":2024,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Molecular Cell Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Proteome; Neurotransmission; Synapse; S-Nitrosylation; Proteomics; Disease; Neuroscience; Function (biology); Computational biology; Synaptic plasticity; Biology; Synaptic pruning; Chemistry; Cysteine; Bioinformatics; Gene; Cell biology; Biochemistry; Medicine; Enzyme; Receptor; Immunology","score_opus":0.041612808846796176,"score_gpt":0.38206472461450336,"score_spread":0.34045191576770717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393930799","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016752828,0.9789863,0.0004371409,0.00050383294,0.00000738301,0.0021468517,0.0005871598,0.00014205792,0.00043640521],"genre_scores_gemma":[0.04836453,0.94518286,0.0035603587,0.000034494165,0.000043344986,0.0012947941,0.0012312166,0.00015633524,0.00013204721],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956101,0.0005492608,0.0011235558,0.0012562195,0.0005839539,0.0008768724],"domain_scores_gemma":[0.9972074,0.00028732963,0.00050003786,0.0012618616,0.00015359905,0.00058979273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079575717,0.00063715334,0.0018406712,0.00096308417,0.00015296982,0.00014708591,0.00082161184,0.0004424516,0.00001946903],"category_scores_gemma":[0.0001051597,0.00056910457,0.0006605687,0.0041719964,0.0004537959,0.000056221128,0.0006544972,0.0018676732,0.000008487153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039513985,0.0029185808,0.00000860939,0.2182522,0.009006974,0.00044778004,0.00048729376,0.00025174068,0.64556473,0.022047147,0.0010447481,0.099575065],"study_design_scores_gemma":[0.001710833,0.001443546,0.000014152945,0.13580185,0.023506233,0.000027692296,0.00043488372,0.016350143,0.49764732,0.08396873,0.23031148,0.0087831495],"about_ca_topic_score_codex":0.00011596364,"about_ca_topic_score_gemma":0.000012672398,"teacher_disagreement_score":0.22926673,"about_ca_system_score_codex":0.00025803802,"about_ca_system_score_gemma":0.0016573112,"threshold_uncertainty_score":0.99967605},"labels":[],"label_agreement":null},{"id":"W4393969605","doi":"10.1021/acs.jproteome.4c00009","title":"Comprehensive Prostate Fluid-Based Spectral Libraries for Enhanced Protein Detection in Urine","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Institute of Cancer Research; NIH Clinical Center; National Cancer Institute; National Institutes of Health; University of Toronto; Canadian Prostate Cancer Research Initiative; Prostate Cancer Canada; Eastern Virginia Medical School; Canadian Institutes of Health Research; Sunnybrook Research Institute","keywords":"Biomarker discovery; Urine; Prostate cancer; Biomarker; Proteome; Prostate; Computational biology; Computer science; Cancer; Chemistry; Proteomics; Bioinformatics; Medicine; Internal medicine; Biology; Biochemistry; Gene","score_opus":0.04655095450357444,"score_gpt":0.37592344884651396,"score_spread":0.3293724943429395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393969605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8505415,0.0008786301,0.14391351,0.0017674196,0.00003381821,0.0022793126,0.000032468357,0.00009455589,0.00045881598],"genre_scores_gemma":[0.91735345,0.00006762285,0.079796515,0.000007497969,0.00030645952,0.0016328251,0.000005563087,0.000045235574,0.00078480016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835163,0.000049837294,0.00051173655,0.00024748687,0.00042790038,0.00041142938],"domain_scores_gemma":[0.9988969,0.00021105092,0.00012067212,0.00020758901,0.00046303272,0.00010078613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006849787,0.00013663391,0.00023262431,0.00043233193,0.00012877573,0.00017135266,0.00028076064,0.00011576882,0.00008893755],"category_scores_gemma":[0.00017105474,0.00011769695,0.0001284941,0.000573723,0.00013108194,0.00032032546,0.000057300385,0.0010014108,0.000006608756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005465543,0.00008199668,0.0000074653417,0.00096807984,0.000017391043,0.000026692116,0.00009344658,0.000108666856,0.98979497,0.00091482454,0.0000568863,0.0073829987],"study_design_scores_gemma":[0.0005582375,0.0003597276,0.000014973434,0.0006013265,0.0000038543667,0.000017868182,0.00008195405,0.0025934097,0.9453467,0.039518725,0.010788565,0.00011463848],"about_ca_topic_score_codex":0.000012022846,"about_ca_topic_score_gemma":0.000004763872,"teacher_disagreement_score":0.066812,"about_ca_system_score_codex":0.0002736538,"about_ca_system_score_gemma":0.00040777025,"threshold_uncertainty_score":0.47995424},"labels":[],"label_agreement":null},{"id":"W4394095827","doi":"10.6084/m9.figshare.23902897","title":"Additional file 2 of metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Database; Cluster analysis; Workflow; Data mining; Artificial intelligence","score_opus":0.08704151807568068,"score_gpt":0.3557252894317352,"score_spread":0.26868377135605453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394095827","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044782944,0.00002413678,0.007114357,0.000020547097,0.000014838941,0.000889152,0.9917918,0.000010126114,0.00009028681],"genre_scores_gemma":[0.0000014528139,0.00003665939,0.34950393,0.0000062066665,0.00012378943,0.0007444613,0.64925945,0.000039226776,0.00028482737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973702,0.000027998049,0.0006450207,0.0013079569,0.00029412215,0.0003547318],"domain_scores_gemma":[0.99603444,0.0005311754,0.0006118381,0.002614182,0.00006014628,0.0001482315],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002994812,0.00040492645,0.00082629704,0.00024133196,0.00022360928,0.0002287958,0.0022420792,0.00026313568,0.48606497],"category_scores_gemma":[0.00017264782,0.00043243088,0.00015727554,0.0004897163,0.00009112953,0.00046514173,0.002151088,0.00038402993,0.00005988354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050484934,0.00009963043,3.880853e-7,0.00011589318,0.000869247,0.0000070129113,0.000003933365,0.00011424407,0.0017917599,0.0000011708172,0.9955431,0.0014031016],"study_design_scores_gemma":[0.00029525405,0.000024030625,0.0000024533167,0.00025351415,0.001944529,0.000012325053,0.000030536525,0.022716003,0.0044213138,0.00021779127,0.969565,0.000517285],"about_ca_topic_score_codex":0.00085935846,"about_ca_topic_score_gemma":0.0043545514,"teacher_disagreement_score":0.48600507,"about_ca_system_score_codex":0.000101186706,"about_ca_system_score_gemma":0.00024642955,"threshold_uncertainty_score":0.9998127},"labels":[],"label_agreement":null},{"id":"W4394314157","doi":"10.6084/m9.figshare.23902900","title":"Additional file 3 of metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Cluster analysis; Workflow; Database; Data mining; Artificial intelligence","score_opus":0.08551851556067118,"score_gpt":0.3264837917867846,"score_spread":0.2409652762261134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394314157","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.847087e-7,0.00005492294,0.00055824843,0.000009958355,0.000008287692,0.00056952116,0.99865603,0.000119829936,0.000022325126],"genre_scores_gemma":[5.833445e-7,0.000021091311,0.077047855,0.000018127934,0.00028853872,0.0033942836,0.91904163,0.000073181116,0.00011469726],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976176,0.0000201472,0.0005456854,0.0011166366,0.00032783684,0.00037208965],"domain_scores_gemma":[0.9960601,0.00075664325,0.0005855945,0.0023579572,0.00009151504,0.00014819528],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007720023,0.00042646294,0.000698798,0.00027051888,0.00019640666,0.00010022646,0.0013345629,0.0003160859,0.9285312],"category_scores_gemma":[0.00074914057,0.0004664708,0.00021748799,0.0005159834,0.000022476492,0.00030236287,0.0012103651,0.00044141314,0.00014221061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016868462,0.000051121162,7.0070925e-8,0.0007697785,0.0005796062,0.0000063212283,0.000001383383,0.000113951326,0.00028161035,5.736962e-7,0.9980539,0.00012481473],"study_design_scores_gemma":[0.00016534397,0.000015661368,0.0000033743836,0.0014194543,0.0008449401,0.000009639216,0.000008372114,0.028945744,0.0011922715,0.00013431083,0.9667675,0.00049339706],"about_ca_topic_score_codex":0.00019054992,"about_ca_topic_score_gemma":0.0012083211,"teacher_disagreement_score":0.928389,"about_ca_system_score_codex":0.00010443693,"about_ca_system_score_gemma":0.000192969,"threshold_uncertainty_score":0.9997787},"labels":[],"label_agreement":null},{"id":"W4394622476","doi":"10.21203/rs.3.rs-3972487/v1","title":"Deciphering the ghost proteome in ovarian cancer cells by deep proteogenomic characterization","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Proteogenomics; Proteome; Ovarian cancer; Computational biology; Biology; Cancer research; Cancer; Bioinformatics; Transcriptome; Biochemistry; Genetics; Gene","score_opus":0.031161243111418897,"score_gpt":0.3702755437293576,"score_spread":0.33911430061793874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394622476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95573014,0.0030201168,0.015517829,0.0060470486,0.000182569,0.012112969,0.0028572942,0.00054758636,0.0039844424],"genre_scores_gemma":[0.93980336,0.002772578,0.0040590363,0.00003890664,0.0006648521,0.048141215,0.0009163125,0.00023814291,0.0033656233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973366,0.00009566256,0.00046183457,0.00088670343,0.00054799713,0.00067116204],"domain_scores_gemma":[0.9983909,0.00008691384,0.00014811702,0.0010624496,0.0001973939,0.00011418439],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007252134,0.0003202433,0.00028498212,0.00015603587,0.0002550996,0.00032468603,0.00095364836,0.00047318803,0.0006158063],"category_scores_gemma":[0.00005127384,0.00026753618,0.00011253493,0.00047025832,0.0001392711,0.000056364515,0.0019503118,0.0033315022,0.000079448364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028475299,0.00005875437,0.00016149315,0.0016197972,0.000023731998,0.000008193684,0.00037191215,0.00027942137,0.9920309,0.00029329513,0.00014921006,0.004974778],"study_design_scores_gemma":[0.00016484178,0.00001564146,0.00016771881,0.0018212392,0.000011716661,0.0000020856023,0.00014063982,0.004247014,0.96360177,0.011179096,0.018230408,0.00041784203],"about_ca_topic_score_codex":0.0008053969,"about_ca_topic_score_gemma":0.00012655437,"teacher_disagreement_score":0.036028247,"about_ca_system_score_codex":0.00093880016,"about_ca_system_score_gemma":0.0003894805,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W4394759701","doi":"10.1002/rcm.9754","title":"Simultaneous quantification of six proteins related to liver injury using nano liquid chromatography–tandem mass spectrometry","year":2024,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Chemistry; Liver injury; Transaminase; Chromatography; Albumin; Biochemistry; Enzyme; Internal medicine; Medicine","score_opus":0.02119795346254622,"score_gpt":0.31227535879960217,"score_spread":0.29107740533705595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394759701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69355243,0.009597463,0.2811313,0.0011752119,0.00011430845,0.0018324276,0.00029038027,0.001272144,0.011034349],"genre_scores_gemma":[0.64498806,0.0023227131,0.35208172,0.000015898891,0.000029832483,0.0002680872,0.000082841085,0.00007566398,0.00013519553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99712104,0.000115550065,0.0011323905,0.0007260459,0.00038525392,0.0005197492],"domain_scores_gemma":[0.99545753,0.0005350765,0.00032874578,0.0033678394,0.00016874129,0.00014207905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055528444,0.00039451977,0.0005118847,0.0014483932,0.00027578682,0.00010383656,0.0017847915,0.00036479603,0.0005477459],"category_scores_gemma":[0.00021800927,0.0004492167,0.00025377827,0.0050494378,0.00028929615,0.00024915347,0.0003622174,0.0010092766,0.00005419371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043071337,0.00025869612,0.00037912378,0.00017873831,0.00009260308,0.000006170483,0.00015877449,0.0004631193,0.9642847,0.033025764,0.000029729687,0.0010794739],"study_design_scores_gemma":[0.00026183508,0.00023158439,0.00008373939,0.0007185035,0.00008577938,0.000038789425,0.0003057522,0.03497805,0.9449565,0.013510708,0.0041196765,0.0007091181],"about_ca_topic_score_codex":0.00007821806,"about_ca_topic_score_gemma":0.0000151721815,"teacher_disagreement_score":0.07095042,"about_ca_system_score_codex":0.0006389943,"about_ca_system_score_gemma":0.00015043498,"threshold_uncertainty_score":0.999796},"labels":[],"label_agreement":null},{"id":"W4394790058","doi":"10.1101/2024.04.12.589318","title":"A framework for quality control in quantitative proteomics","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Intelligence Advanced Research Projects Activity; National Institutes of Health; Army Research Office; University of Washington","keywords":"Quality (philosophy); Control (management); Computer science; Quantitative proteomics; Proteomics; Chemistry; Artificial intelligence; Philosophy; Epistemology","score_opus":0.03067770770136577,"score_gpt":0.3214460507965227,"score_spread":0.290768343095157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394790058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32975945,0.0010628923,0.6613224,0.0008583493,0.00027318785,0.0027942345,0.0029511566,0.00094729755,0.000031030533],"genre_scores_gemma":[0.5711086,0.00008743711,0.42160597,0.000114762646,0.00020641093,0.0067352164,7.12858e-7,0.00013524112,0.0000056798817],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99715745,0.000044269782,0.00082770985,0.0012117985,0.00021881625,0.0005399715],"domain_scores_gemma":[0.99727225,0.0003974697,0.0005067314,0.0013346239,0.00033464073,0.0001542729],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006601422,0.000552122,0.0007266408,0.00016398825,0.00010615799,0.00017835364,0.0006197539,0.0010074796,0.000033636432],"category_scores_gemma":[0.00070003915,0.0006208874,0.00026071403,0.00032465882,0.00012215567,0.000060809314,0.0004267088,0.0018450005,0.000028470575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001119372,0.0001338146,0.0006451553,0.0018732229,0.00010223286,0.000007551222,0.000015801745,0.00009634011,0.7438878,0.25305688,0.000067520254,0.0000017449128],"study_design_scores_gemma":[0.0008650601,0.00004141599,0.000614019,0.0024564748,0.00013953626,7.395237e-9,0.000011670629,0.0043334705,0.95850897,0.027756644,0.003810951,0.001461758],"about_ca_topic_score_codex":0.000051397645,"about_ca_topic_score_gemma":0.00000395947,"teacher_disagreement_score":0.2413491,"about_ca_system_score_codex":0.00048541912,"about_ca_system_score_gemma":0.00046337082,"threshold_uncertainty_score":0.99962425},"labels":[],"label_agreement":null},{"id":"W4394963115","doi":"10.3390/proteomes12020014","title":"Proteomics—The State of the Field: The Definition and Analysis of Proteomes Should Be Based in Reality, Not Convenience","year":2024,"lang":"en","type":"article","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Field (mathematics); State (computer science); Proteomics; Data science; Computer science; Biology; Mathematics","score_opus":0.04434683044574418,"score_gpt":0.32661071334939956,"score_spread":0.2822638829036554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394963115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936408,0.00028415362,0.033996403,0.025389498,0.000016310258,0.0025782208,0.00034382043,0.000084705185,0.0008989353],"genre_scores_gemma":[0.9898451,0.00009085822,0.0076770224,0.00029653477,0.000013068563,0.0019441491,0.000009323175,0.000014700386,0.0001092612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988811,0.000052831878,0.00040678252,0.00026884445,0.00022831338,0.0001621454],"domain_scores_gemma":[0.9986859,0.00044177676,0.00020523756,0.00057762227,0.00006773195,0.000021764215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047381772,0.00013870833,0.0002329636,0.00009010087,0.00010232074,0.000035280136,0.00038926926,0.00007189414,0.00012137897],"category_scores_gemma":[0.00017920627,0.00007415524,0.0001349786,0.00073033356,0.00028958474,0.000060476716,0.00014643084,0.00033191382,7.35188e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001505772,0.00019408925,0.010439825,0.0016737804,0.00045362287,0.0000034017824,0.0022679474,0.0017438965,0.9322632,0.032431357,0.00024584087,0.01813248],"study_design_scores_gemma":[0.00011769381,0.000020224812,0.0014013455,0.00015001363,0.00013908808,0.0000010472775,0.0000636161,0.012878613,0.9581049,0.0264039,0.00061148725,0.00010808982],"about_ca_topic_score_codex":0.00029082366,"about_ca_topic_score_gemma":0.000062458465,"teacher_disagreement_score":0.05343713,"about_ca_system_score_codex":0.000032763055,"about_ca_system_score_gemma":0.00009613542,"threshold_uncertainty_score":0.3023963},"labels":[],"label_agreement":null},{"id":"W4394988401","doi":"10.1101/2024.04.16.589668","title":"NovoBoard: a comprehensive framework for evaluating the false discovery rate and accuracy of de novo peptide sequencing","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bioinformatics Solutions (Canada)","funders":"","keywords":"False discovery rate; Computational biology; Benchmark (surveying); Computer science; Set (abstract data type); Proteomics; Peptide; DNA sequencing; Biology; Data mining; Genetics; DNA; Biochemistry; Gene","score_opus":0.03850165146694528,"score_gpt":0.32022448910703183,"score_spread":0.28172283764008654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394988401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8854595,0.0016856277,0.11028898,0.00036110755,0.00011238893,0.0010219048,0.00078777946,0.0002748503,0.000007877454],"genre_scores_gemma":[0.7853357,0.0003485845,0.2122991,0.00014757938,0.00027084988,0.0014629824,7.3732843e-7,0.00012569937,0.000008786119],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978667,0.000051146377,0.00060205895,0.000835309,0.00020735835,0.00043742327],"domain_scores_gemma":[0.99647164,0.0010659978,0.0006524649,0.0012554731,0.00044478595,0.00010963317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058090565,0.00046300452,0.00051435217,0.0000797529,0.00023021192,0.00027399918,0.00055411516,0.00046685102,0.000010478703],"category_scores_gemma":[0.0009657692,0.00041156544,0.00019944794,0.00023059704,0.00020606775,0.00010602512,0.00095509534,0.0012276497,0.0000029457556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042160475,0.000022391405,0.00020276262,0.0019367123,0.0001311012,0.0000050965655,0.000040856678,0.00045311093,0.98009676,0.017033385,0.000027029786,0.000008658225],"study_design_scores_gemma":[0.00024629413,0.00003508362,0.00026870688,0.0022485503,0.0002556996,1.0422285e-7,0.000045124827,0.0053087673,0.9836775,0.0065284087,0.00078675913,0.0005990157],"about_ca_topic_score_codex":0.00004041908,"about_ca_topic_score_gemma":0.000001107188,"teacher_disagreement_score":0.10201011,"about_ca_system_score_codex":0.00033848072,"about_ca_system_score_gemma":0.00076389837,"threshold_uncertainty_score":0.99983364},"labels":[],"label_agreement":null},{"id":"W4395073872","doi":"10.1021/acs.jproteome.4c00020","title":"Establishing Personalized Blood Protein Reference Ranges Using Noninvasive Microsampling and Targeted Proteomics: Implications for Antidoping Strategies","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Victoria; McGill University; CancerCare Manitoba; Research Manitoba; Jewish General Hospital","funders":"Lady Davis Institute for Medical Research; Partnership for Clean Competition; Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Faculty of Medicine, McGill University; Universiteit Leiden; Leids Universitair Medisch Centrum; Jewish General Hospital; Genome British Columbia; Genome Canada; Deutsche Sporthochschule Köln; McGill University","keywords":"Dried blood; Proteome; Context (archaeology); Proteomics; Computational biology; Medicine; Bioinformatics; Chemistry; Chromatography; Biology; Biochemistry","score_opus":0.13289815696428495,"score_gpt":0.4296039253439727,"score_spread":0.29670576837968776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395073872","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72805536,0.0039661573,0.26380375,0.0016316345,0.00001862593,0.0020833344,0.00015039319,0.00008972721,0.00020101132],"genre_scores_gemma":[0.41766888,0.0005319729,0.5801373,0.0000068834206,0.00039267706,0.0009988829,0.000016091915,0.00006925512,0.00017804964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980499,0.00006207928,0.0006057881,0.00041281414,0.00034460545,0.0005248227],"domain_scores_gemma":[0.9975386,0.00043790354,0.00028579385,0.00027539136,0.0013055839,0.000156716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016543504,0.00020568256,0.0003366991,0.00038240742,0.0005790646,0.00092627824,0.00044425201,0.00018527257,0.000028143764],"category_scores_gemma":[0.0005945149,0.00018411124,0.00011280184,0.00055443606,0.00026383324,0.000811619,0.00015225062,0.0011594725,8.3527266e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079321464,0.00004579957,0.000041077456,0.0011830197,0.00007980034,0.00000996501,0.00028425994,0.00004442059,0.98438996,0.013024407,0.000029727611,0.0007882419],"study_design_scores_gemma":[0.00060198497,0.00013870018,0.000010646018,0.0020606318,0.00005180343,0.00032035753,0.0011004339,0.0013975399,0.9370591,0.054233104,0.0027762929,0.00024938578],"about_ca_topic_score_codex":0.00004529067,"about_ca_topic_score_gemma":0.000002929262,"teacher_disagreement_score":0.31633356,"about_ca_system_score_codex":0.00018339822,"about_ca_system_score_gemma":0.0009737608,"threshold_uncertainty_score":0.89321226},"labels":[],"label_agreement":null},{"id":"W4395677659","doi":"10.1042/bst20231020","title":"From bottom-up to cell surface proteomics: detergents or no detergents, that is the question","year":2024,"lang":"en","type":"review","venue":"Biochemical Society Transactions","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Proteomics; Chemistry; Sample preparation; Lipid bilayer; Computational biology; Nanotechnology; Membrane; Chromatography; Computer science; Biochemical engineering; Biology; Biochemistry; Materials science; Engineering","score_opus":0.0372042019896277,"score_gpt":0.3405984538532119,"score_spread":0.3033942518635842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395677659","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046158148,0.8072883,0.18170933,0.00054767734,0.0005310582,0.0025796078,0.0058796136,0.0008149464,0.00018791415],"genre_scores_gemma":[0.000113121205,0.91599315,0.07071379,0.00021573652,0.00044647304,0.002306992,0.00045966497,0.00018339435,0.009567706],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99731046,0.00003341103,0.00070286443,0.0010972557,0.00034912952,0.00050685427],"domain_scores_gemma":[0.9982135,0.00014404343,0.00023940737,0.0010353316,0.0000867661,0.00028090007],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011781303,0.00073838414,0.00083051977,0.000021395692,0.00035400997,0.00014759939,0.00087479956,0.0010632013,0.0016063516],"category_scores_gemma":[0.000011848321,0.0005058375,0.001674625,0.00042517288,0.0001155098,0.000077644574,0.000084699655,0.0015329216,0.00068976544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015992731,0.0011461929,0.0000038457283,0.050346613,0.0038432968,0.000009939093,0.0029471663,0.000023059267,0.361609,0.000040169034,0.31417522,0.26569557],"study_design_scores_gemma":[0.00010445892,0.000015681304,2.089e-8,0.0027759809,0.0016191476,0.000005836073,0.00007311017,0.00012352513,0.14043997,0.00018808326,0.8540363,0.00061791745],"about_ca_topic_score_codex":0.0001612577,"about_ca_topic_score_gemma":0.0000041482604,"teacher_disagreement_score":0.5398611,"about_ca_system_score_codex":0.00052277546,"about_ca_system_score_gemma":0.00022253017,"threshold_uncertainty_score":0.99973935},"labels":[],"label_agreement":null},{"id":"W4396213490","doi":"10.1021/acs.jproteome.4c00026","title":"MassDash: A Web-Based Dashboard for Data-Independent Acquisition Mass Spectrometry Visualization","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Chan Zuckerberg Initiative","keywords":"Computer science; Visualization; Python (programming language); Software; MIT License; Modular design; Web application; Graphical user interface; Data visualization; Data mining; World Wide Web; Operating system","score_opus":0.08897323383453232,"score_gpt":0.44407008337679266,"score_spread":0.35509684954226034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022195952,0.00066452054,0.97252,0.0022857764,0.00007879323,0.00089318847,0.00022921228,0.00014128326,0.00099126],"genre_scores_gemma":[0.60141563,0.00032776396,0.39468157,0.000040450937,0.0013662792,0.0005324495,0.00023532267,0.00010610578,0.0012944019],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975882,0.00006507454,0.0005682297,0.00037629987,0.0009935492,0.00040864246],"domain_scores_gemma":[0.9980815,0.00030344902,0.00019766798,0.0006098048,0.0006556315,0.00015193937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028920078,0.00014562861,0.00023301426,0.000583548,0.00018875192,0.00027981674,0.000822444,0.00017281101,0.0005224243],"category_scores_gemma":[0.00025913658,0.00012791353,0.0001361207,0.0006819197,0.00007800593,0.00042325983,0.00014401427,0.00080581487,0.000024724024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017136618,0.00010380369,0.00007438875,0.00069498224,0.000054319993,0.00003233236,0.000017577699,0.00004942548,0.98906124,0.003960209,0.0040686144,0.0017117382],"study_design_scores_gemma":[0.000950521,0.00034322,0.000014381109,0.0006903246,0.0000458927,0.00006898375,0.000070630784,0.09115787,0.8022209,0.034461085,0.06973655,0.00023966386],"about_ca_topic_score_codex":0.0000035423095,"about_ca_topic_score_gemma":9.901469e-7,"teacher_disagreement_score":0.5792197,"about_ca_system_score_codex":0.00045812168,"about_ca_system_score_gemma":0.00057345064,"threshold_uncertainty_score":0.57201797},"labels":[],"label_agreement":null},{"id":"W4396555794","doi":"10.6019/pxd051920","title":"ProteomeXchange dataset","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.021324366223299935,"score_gpt":0.31478508766415536,"score_spread":0.29346072144085544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396555794","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007807144,0.0010830918,0.5122223,0.0043867286,0.000067894536,0.00055905245,0.0057170284,0.004101232,0.46405557],"genre_scores_gemma":[0.45430985,0.0003919731,0.456496,0.0008805737,0.000911084,0.0034611276,0.007984451,0.00012424232,0.075440675],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996731,6.485917e-7,0.000059898168,0.00014395615,0.000040846302,0.000081536964],"domain_scores_gemma":[0.9997362,0.000009749847,0.0000059915124,0.00021660885,0.000004961982,0.000026486206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000023296745,0.000048408267,0.00003392709,0.000014220163,0.00002738853,0.000032623924,0.00009190985,0.000031131567,0.0039417064],"category_scores_gemma":[0.0000027446606,0.00004005476,0.000016111499,0.000061015242,0.000013736933,0.00005894744,0.00004162917,0.00008053048,0.0002840262],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033657655,0.000032473807,0.000022045568,0.0002826453,0.000016339598,0.000015766473,0.000033500342,0.0000015931371,0.5060175,0.2020497,0.24591665,0.045608405],"study_design_scores_gemma":[0.000012063481,0.0000015917047,2.8106697e-7,0.000012819678,0.000002139628,0.000005010272,0.0000046650734,0.00036629013,0.26905334,0.00934507,0.7211464,0.00005030085],"about_ca_topic_score_codex":0.0000106631105,"about_ca_topic_score_gemma":0.0000016175385,"teacher_disagreement_score":0.47522977,"about_ca_system_score_codex":0.000015149651,"about_ca_system_score_gemma":0.000008525167,"threshold_uncertainty_score":0.9969688},"labels":[],"label_agreement":null},{"id":"W4396804454","doi":"10.1016/b978-0-443-21625-1.00019-1","title":"Unraveling the mechanisms of various phospho-proteomics approach for crop improvement","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Proteomics; Crop; Computational biology; Computer science; Biology; Agronomy; Biochemistry","score_opus":0.01425678489855838,"score_gpt":0.24842742144515886,"score_spread":0.23417063654660047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396804454","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000075379016,0.00056289457,0.20376927,0.000050210303,0.00006340086,0.0018074603,0.0004433363,0.00015190624,0.793144],"genre_scores_gemma":[0.0006246671,0.0001128622,0.21994054,0.000105580875,0.00019692368,0.0019540212,0.000117644435,0.00019546611,0.7767523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981295,0.0000021364142,0.00067397434,0.00064072787,0.00024919273,0.00030447854],"domain_scores_gemma":[0.9982255,0.000053538606,0.00047723143,0.001026231,0.00015045048,0.00006703813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002363642,0.0004802651,0.000503456,0.000052426665,0.00018040322,0.000054180375,0.00063755777,0.00046884344,0.00008465737],"category_scores_gemma":[0.000008327328,0.00037415107,0.00043579796,0.000014773882,0.00013828588,0.000015520965,0.00029671736,0.0006952363,0.000009280292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024747058,0.00001566816,1.84594e-8,0.00085175515,0.00017647482,0.0000011289533,0.00009324633,0.00002234779,0.07284137,0.55539674,0.000034280412,0.37054223],"study_design_scores_gemma":[0.000121722434,0.000033790297,2.6524876e-9,0.00019199193,0.00018498945,0.0000048269776,0.000015902346,0.0005238496,0.259665,0.48399472,0.25497982,0.00028334925],"about_ca_topic_score_codex":0.0000019502017,"about_ca_topic_score_gemma":0.0000015878871,"teacher_disagreement_score":0.37025887,"about_ca_system_score_codex":0.00015665358,"about_ca_system_score_gemma":0.00011525802,"threshold_uncertainty_score":0.999871},"labels":[],"label_agreement":null},{"id":"W4396992715","doi":"10.1681/asn.20213210s1317a","title":"High-Throughput Analysis of Changes in Protein Biomarkers During Hemodialysis","year":2021,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; McMaster University","funders":"","keywords":"Hemodialysis; Throughput; Medicine; Internal medicine; Intensive care medicine; Computational biology; Computer science; Biology","score_opus":0.010223238193167125,"score_gpt":0.2690972143944262,"score_spread":0.25887397620125907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396992715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99319744,0.000117574134,0.0018059756,0.0047703525,0.0000058175465,0.00004731535,0.0000214711,0.000005494282,0.000028548326],"genre_scores_gemma":[0.9285128,0.00046326892,0.07054265,0.00036031462,0.000047848487,0.000011212379,0.000002464111,0.000009754693,0.000049702627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990238,0.00005167686,0.00047287685,0.00013639963,0.00016374851,0.0001515221],"domain_scores_gemma":[0.9978151,0.000074788244,0.0015542837,0.0003566667,0.00016884721,0.00003035391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017784568,0.00009639121,0.00064310257,0.000078407014,0.0000406789,0.000003251294,0.00032109782,0.00006388166,0.00007480355],"category_scores_gemma":[0.00003165063,0.00007823859,0.0006152903,0.0013395903,0.0004153931,0.00003310275,0.00013105612,0.00022491098,9.552363e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062038314,0.000087060806,0.0042550466,0.000032578166,0.0013892722,0.0000020361576,0.00019681016,0.0006473526,0.99219066,0.00003864669,0.00013879169,0.0009597341],"study_design_scores_gemma":[0.00037567248,0.00004013939,0.020447224,0.000034640845,0.00057209,0.00001786009,0.0009531143,0.00030405782,0.97549176,0.0008972276,0.00077372056,0.00009249675],"about_ca_topic_score_codex":0.00017462757,"about_ca_topic_score_gemma":0.000067186855,"teacher_disagreement_score":0.06873667,"about_ca_system_score_codex":0.00008489493,"about_ca_system_score_gemma":0.00006766718,"threshold_uncertainty_score":0.31904772},"labels":[],"label_agreement":null},{"id":"W4398339130","doi":"10.7910/dvn/n9k3om/qofap6","title":"072717 QAH-CYT-7 SA14 Mount Sanai Hospital Service Report.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Multiplex; Computational biology; Biology; Medicine; Bioinformatics","score_opus":0.011609991346378912,"score_gpt":0.2555623544647574,"score_spread":0.24395236311837848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398339130","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006621851,0.0000028210704,0.0010926158,0.00019632306,0.00016373041,0.00047266827,0.9969599,0.0004358547,0.00060984347],"genre_scores_gemma":[0.000031417956,0.000541027,0.011407356,0.0013267205,0.0007357661,0.00044120496,0.98504096,0.00009549852,0.00038005618],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996865,0.000015744228,0.0007914266,0.0012999453,0.0005055816,0.00052230543],"domain_scores_gemma":[0.9948929,0.000058966532,0.00081143295,0.003709477,0.00018112006,0.00034611102],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000119695476,0.00066627894,0.0006382535,0.000072729104,0.00023325847,0.0001530394,0.0016569756,0.00065879826,0.017421657],"category_scores_gemma":[0.00021398772,0.0007342079,0.00021790645,0.0002978872,0.00010993292,0.0002884814,0.0012780102,0.0012035655,0.04987099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002608095,0.00012901361,0.0000036409156,0.0004751526,0.00009392212,0.0005993121,0.000028051638,0.0000056140775,0.0010557901,0.00007408347,0.9973702,0.00013917641],"study_design_scores_gemma":[0.0003008082,0.00002089923,0.0000018661217,0.00015059041,0.00020634128,0.00011970562,0.00011208447,0.00005089173,0.0030496456,0.00020140345,0.9949523,0.0008334605],"about_ca_topic_score_codex":0.001064568,"about_ca_topic_score_gemma":0.00007905741,"teacher_disagreement_score":0.032449335,"about_ca_system_score_codex":0.0003498764,"about_ca_system_score_gemma":0.00023438416,"threshold_uncertainty_score":0.9995109},"labels":[],"label_agreement":null},{"id":"W4399019203","doi":"10.1002/pmic.202300570","title":"Spectral entropy as a measure of the metaproteome complexity","year":2024,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Computational biology; Microbiome; Metaproteomics; Proteomics; Workflow; Proteogenomics; Biology; Mass spectrometry; Entropy (arrow of time); Computer science; Bioinformatics; Chemistry; Genomics; Genetics; Chromatography; Genome; Physics; Gene","score_opus":0.026158306312514347,"score_gpt":0.28421309183479043,"score_spread":0.25805478552227606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399019203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8280416,0.00094175694,0.13351703,0.0039194673,0.00013934316,0.0020872662,0.00029015893,0.0008192492,0.030244108],"genre_scores_gemma":[0.8615517,0.000041452764,0.13654785,0.00005258271,0.00014762425,0.00046589226,0.000009292598,0.000040685063,0.0011429079],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989736,0.000014679044,0.00027909927,0.00029019872,0.00022168939,0.0002207364],"domain_scores_gemma":[0.9991915,0.00002603838,0.000100847246,0.0005709253,0.000057968362,0.00005267164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014202035,0.00016323735,0.0001862966,0.000028854016,0.0001105178,0.000045877656,0.0004589075,0.00010368952,0.00039579492],"category_scores_gemma":[0.00005390847,0.000118723365,0.00020488111,0.00023305265,0.00019730483,0.0000743493,0.000141823,0.00041790257,0.000035644185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018043884,0.000032938817,0.00012132519,0.0001440788,0.00003599255,0.0000013649942,0.00007611983,0.000014673874,0.8097219,0.18909109,0.000098058204,0.0006444343],"study_design_scores_gemma":[0.000085384694,0.000010094345,0.000023688199,0.000085632506,0.0000249406,0.000019284942,0.000015340069,0.00090259465,0.7975635,0.19548371,0.0056691216,0.000116737705],"about_ca_topic_score_codex":0.00005542971,"about_ca_topic_score_gemma":0.0000053817,"teacher_disagreement_score":0.033510085,"about_ca_system_score_codex":0.00009899319,"about_ca_system_score_gemma":0.00011291014,"threshold_uncertainty_score":0.48413983},"labels":[],"label_agreement":null},{"id":"W4399083441","doi":"10.1021/acs.jproteome.4c00131","title":"Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Cuccione Foundation; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; BC Children's Hospital; Michael Smith Health Research BC; Children's Hospital Foundation; Government of Canada; BC Children’s Hospital Foundation","keywords":"Equivalence (formal languages); Computational biology; Proteome; Statistical hypothesis testing; Computer science; Set (abstract data type); Biology; Statistical analysis; Bioinformatics; Biological system; Mathematics; Statistics","score_opus":0.3313423861741752,"score_gpt":0.45913204169707345,"score_spread":0.12778965552289823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399083441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88913405,0.0018412233,0.10684852,0.00021095277,0.000037752896,0.0013988655,0.00032699897,0.000052567837,0.00014904841],"genre_scores_gemma":[0.7151736,0.0000648202,0.27942514,0.000007732106,0.0007321359,0.0030327563,0.00001494991,0.000034277888,0.0015146038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978959,0.000070265996,0.0005899958,0.00039769002,0.00055725453,0.0004889028],"domain_scores_gemma":[0.99794316,0.00053802214,0.00016900813,0.0001672161,0.00092723145,0.00025533533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016626733,0.0001642875,0.00027738555,0.00008166314,0.00037097002,0.00038464894,0.00030351727,0.0001429994,0.000021215988],"category_scores_gemma":[0.001354406,0.00012551734,0.00005780853,0.00028677259,0.00030906263,0.00019732697,0.00027196336,0.00067825173,0.0000015428999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008527072,0.00006985623,0.0013588055,0.0020518855,0.000031435018,0.000008201372,0.0001258738,0.00040306363,0.99120766,0.0031506498,0.00055734575,0.0009499479],"study_design_scores_gemma":[0.0011098803,0.00078485464,0.001267199,0.0040154653,0.000038473834,0.00031620232,0.001483692,0.14533484,0.78809947,0.054903064,0.0019526292,0.00069425517],"about_ca_topic_score_codex":0.00017396825,"about_ca_topic_score_gemma":0.0000032313642,"teacher_disagreement_score":0.20310822,"about_ca_system_score_codex":0.00017456358,"about_ca_system_score_gemma":0.00024084226,"threshold_uncertainty_score":0.5118448},"labels":[],"label_agreement":null},{"id":"W4399129199","doi":"10.1101/2024.05.24.595718","title":"Systematic analysis of CDR contacts and sequence constraints between T cell receptor <i>αβ</i> chains","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Royal Free Charity; National Institute of Allergy and Infectious Diseases; Israel Science Foundation; Cancer Research UK","keywords":"Pairing; T-cell receptor; Computational biology; Chemistry; Cell biology; Computer science; Biology; Physics; Genetics; T cell; Condensed matter physics; Immune system","score_opus":0.016256170896153475,"score_gpt":0.24780890039532016,"score_spread":0.2315527294991667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399129199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98236006,0.0018788956,0.008749812,0.00010490097,0.000114812145,0.0011131061,0.0049323584,0.0006221188,0.00012391734],"genre_scores_gemma":[0.98243725,0.0004538419,0.016254755,0.000032975422,0.000113283066,0.0005823697,0.000004176644,0.00010027214,0.000021095817],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972722,0.00004899033,0.0009835733,0.0010083186,0.00030642812,0.0003804682],"domain_scores_gemma":[0.9969024,0.0002140004,0.0008849768,0.0014164872,0.000331969,0.00025016046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044127976,0.00053318084,0.001335499,0.00033946818,0.00009250272,0.00012883247,0.0005493559,0.00060193194,0.000077819306],"category_scores_gemma":[0.00013039277,0.00056127075,0.0002884976,0.00076819817,0.00028942776,0.00005539702,0.000630463,0.00086579163,0.000017735692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038885464,0.000043209526,0.0018235601,0.024133766,0.0010838028,0.000008468378,0.000016000537,0.00002025946,0.9705726,0.002264858,0.000028684733,8.91117e-7],"study_design_scores_gemma":[0.000153965,0.000012808429,0.00028638935,0.005876774,0.0030507224,1.1290698e-8,0.00000946168,0.0006877432,0.9891106,0.000030403859,0.00012317479,0.0006579577],"about_ca_topic_score_codex":0.000038663235,"about_ca_topic_score_gemma":0.0000012228253,"teacher_disagreement_score":0.018537978,"about_ca_system_score_codex":0.0002418075,"about_ca_system_score_gemma":0.00030517334,"threshold_uncertainty_score":0.99968386},"labels":[],"label_agreement":null},{"id":"W4399218559","doi":"10.22541/au.171715674.40099264/v1","title":"A semi-automated workflow for DIA-based global discovery to pathway-driven PRM analysis","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Python (programming language); Computer science; Workflow; Proteome; Scripting language; Data mining; Pathway analysis; Computational biology; Proteomics; Bioinformatics; Chemistry; Biology; Programming language; Database","score_opus":0.013895497877982409,"score_gpt":0.31325652888238026,"score_spread":0.29936103100439787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399218559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03230087,0.00012222593,0.9430478,0.0013487763,0.00007531177,0.0013551634,0.0069222017,0.0039459714,0.010881627],"genre_scores_gemma":[0.67471147,0.000016940257,0.31233773,0.0003458898,0.00020791528,0.006745087,0.0026354739,0.00008022211,0.0029192544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997752,0.00000815376,0.0005058466,0.001121916,0.0002152184,0.00039683538],"domain_scores_gemma":[0.9981803,0.000078658064,0.00017841208,0.0012648121,0.00012234012,0.000175428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008093147,0.00045929148,0.0006039009,0.00013274178,0.00008708803,0.00028757632,0.0006158555,0.0005013835,0.00013300609],"category_scores_gemma":[0.000038399055,0.00043276296,0.00079442566,0.0007497734,0.000037183017,0.00003689716,0.00095768925,0.00041614435,0.00003193532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048503716,0.0011468023,0.0039789896,0.0075163967,0.007571933,0.00005444651,0.00017597737,0.7534833,0.10262508,0.058173735,0.046974566,0.01781374],"study_design_scores_gemma":[0.000377196,0.0000360994,0.000047601232,0.00090799975,0.002031669,0.0000015456939,0.00003331818,0.61018294,0.24950154,0.11876765,0.016506081,0.0016063331],"about_ca_topic_score_codex":0.00010609688,"about_ca_topic_score_gemma":0.00017850887,"teacher_disagreement_score":0.64241064,"about_ca_system_score_codex":0.0005084677,"about_ca_system_score_gemma":0.00028165666,"threshold_uncertainty_score":0.9998124},"labels":[],"label_agreement":null},{"id":"W4399274414","doi":"10.1101/2024.05.27.596028","title":"A genome-wide association study of mass spectrometry proteomics using the Seer Proteograph platform","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cytodiagnostics (Canada)","funders":"Weill Cornell Medicine - Qatar; Weill Cornell Medical College","keywords":"Proteomics; Computational biology; Mass spectrometry; Genome-wide association study; Computer science; Biology; Chromatography; Chemistry; Genetics; Single-nucleotide polymorphism; Gene; Genotype","score_opus":0.01572344142518591,"score_gpt":0.24659746787664008,"score_spread":0.23087402645145416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399274414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97931737,0.00035190777,0.015879214,0.00014355994,0.00014447213,0.0032349564,0.00034306783,0.0005457598,0.000039669332],"genre_scores_gemma":[0.9175508,0.00009077791,0.07969261,0.00003089744,0.00033814565,0.0020859765,7.0420265e-7,0.00019185165,0.000018266774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99693114,0.000042490556,0.0008741945,0.0009895341,0.00061354594,0.00054909574],"domain_scores_gemma":[0.9963282,0.000121911195,0.0011852495,0.0017666928,0.0004761504,0.00012183546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007629241,0.00059390935,0.00063661556,0.00029193022,0.00024819133,0.00023678761,0.00091711304,0.0006669651,0.000050002884],"category_scores_gemma":[0.00021579445,0.00053699344,0.00025945512,0.0009252966,0.000079063015,0.000094211755,0.00090652244,0.0019669104,0.0000102555505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022960809,0.0002776342,0.026818724,0.00067748985,0.00042050608,0.000008776786,0.000038452232,0.00021660708,0.97126156,0.00024101124,0.000015999916,2.9790084e-7],"study_design_scores_gemma":[0.00042388626,0.00006167578,0.0068168584,0.00041288097,0.00047506744,1.618632e-8,0.000058529135,0.000784047,0.989251,0.00040005922,0.00047237478,0.00084357057],"about_ca_topic_score_codex":0.00008819784,"about_ca_topic_score_gemma":0.000003011585,"teacher_disagreement_score":0.06381339,"about_ca_system_score_codex":0.0011127868,"about_ca_system_score_gemma":0.00040832342,"threshold_uncertainty_score":0.9997082},"labels":[],"label_agreement":null},{"id":"W4399312455","doi":"10.1016/b978-0-323-95488-4.00025-5","title":"Advances in Toxicoproteomics","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","score_opus":0.010233964559367559,"score_gpt":0.2667360129684144,"score_spread":0.2565020484090469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399312455","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001783536,0.0063564903,0.00007583876,0.000058018864,0.0000630556,0.00038904816,0.00011266964,0.00029443885,0.9926326],"genre_scores_gemma":[0.00021722082,0.0035770666,0.007662479,0.00007090715,0.00029493988,0.00046887074,0.000048573715,0.00016127969,0.98749864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985077,0.0000015661901,0.00046668423,0.0005901723,0.00016988051,0.00026400216],"domain_scores_gemma":[0.9990478,0.000028209379,0.0001672029,0.00064742775,0.00003267771,0.00007666894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000070267735,0.00040727382,0.00040542174,0.00011390721,0.0000482843,0.000039843933,0.00035394225,0.00046866934,0.0005544563],"category_scores_gemma":[0.0000052282794,0.00041632864,0.0001841022,0.000014762797,0.00010467912,0.0000510933,0.00017854832,0.0009807548,0.0002637138],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006530383,0.0000047867425,9.892993e-7,0.00029653253,0.000009656663,0.000023659602,0.000025434148,0.0000023563819,0.0013166837,0.13578412,0.000019087947,0.86251014],"study_design_scores_gemma":[0.00005493267,0.0000054431166,2.4397888e-8,0.00063636404,0.000017464845,0.000008109507,0.0000024405306,0.000010631506,0.0056781825,0.37080896,0.6224983,0.00027915247],"about_ca_topic_score_codex":2.1930347e-7,"about_ca_topic_score_gemma":0.000022433465,"teacher_disagreement_score":0.862231,"about_ca_system_score_codex":0.00020371191,"about_ca_system_score_gemma":0.00006313937,"threshold_uncertainty_score":0.9998289},"labels":[],"label_agreement":null},{"id":"W4399325131","doi":"10.1200/jco.2024.42.16_suppl.2567","title":"Proteogenomic profiling of clonal hematopoiesis in the solid tumor microenvironment.","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Solid tumor; Tumor microenvironment; Profiling (computer programming); Cancer research; Haematopoiesis; Computational biology; Pathology; Tumor cells; Cancer; Biology; Stem cell; Internal medicine; Cell biology","score_opus":0.06547520236209697,"score_gpt":0.43998390383999003,"score_spread":0.37450870147789306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399325131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901734,0.0007425017,0.0032441607,0.003078925,0.00009534694,0.0002015017,0.00001236879,0.000011013852,0.002440765],"genre_scores_gemma":[0.9328442,0.00036010979,0.06597246,0.00028727134,0.00041000824,0.000044927383,0.0000015938756,0.000014328769,0.000065109176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977287,0.000080398655,0.0017569541,0.00013950844,0.00015507049,0.00013937785],"domain_scores_gemma":[0.99789214,0.0010114972,0.0008258508,0.00017956743,0.000038517555,0.00005244138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018727884,0.00008799365,0.00052546867,0.0000471154,0.000023983264,0.000009493513,0.0003726497,0.00015205727,0.00013488116],"category_scores_gemma":[0.00031356,0.000056981622,0.00028862176,0.0000828294,0.00017028934,0.000058489542,0.000058721856,0.0009089195,0.000007320347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008707405,0.002370902,0.011287029,0.00060322764,0.0002774056,0.00064519903,0.00042315316,0.0002578941,0.91688085,0.012920874,0.001972098,0.051490616],"study_design_scores_gemma":[0.002080667,0.0017060924,0.0022526903,0.00064231845,0.00023303418,0.00141707,0.0008178086,0.0010173554,0.7522682,0.06366634,0.17356789,0.0003305111],"about_ca_topic_score_codex":0.0000028096563,"about_ca_topic_score_gemma":0.0000021775477,"teacher_disagreement_score":0.1715958,"about_ca_system_score_codex":0.00008613376,"about_ca_system_score_gemma":0.00035869528,"threshold_uncertainty_score":0.39488536},"labels":[],"label_agreement":null},{"id":"W4399330665","doi":"10.1021/acsmeasuresciau.3c00068","title":"Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry","year":2024,"lang":"en","type":"review","venue":"ACS Measurement Science Au","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of General Medical Sciences; National Institute of Standards and Technology; Israel Institute for Biological Research; Indian Council of Medical Research; National Institutes of Health; National Science Foundation; Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación; National Institute on Aging; Translational Health Science and Technology Institute","keywords":"Mass spectrometry; Proteomics; Top-down proteomics; Chemistry; Computer science; Chromatography; Protein mass spectrometry; Tandem mass spectrometry","score_opus":0.23673547369295367,"score_gpt":0.41352490952382515,"score_spread":0.17678943583087148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399330665","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012678534,0.988829,0.008153999,0.000018928215,0.00018110476,0.0010780481,0.00008189385,0.00013513275,0.0013950896],"genre_scores_gemma":[0.00020598606,0.92225647,0.0769427,0.000013875531,0.000141669,0.00027046094,0.000010618319,0.00006677426,0.000091440146],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958232,0.000024539051,0.00088411686,0.0009142326,0.0017774509,0.0005764817],"domain_scores_gemma":[0.9972868,0.000031229698,0.0007380042,0.0011449166,0.00065333245,0.00014571441],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011705594,0.00050868397,0.0012001196,0.00034881005,0.00024918924,0.00009835705,0.0013886772,0.0002336741,0.000046789042],"category_scores_gemma":[0.0001404693,0.0004251703,0.00038501903,0.0018764824,0.00054613623,0.00019164957,0.0003702308,0.00072739646,0.000037355858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056143663,0.00013701471,0.0000071404925,0.0985765,0.000255214,0.000008890055,0.000091630674,0.000013846523,0.70842737,0.007369533,0.0002303332,0.18487693],"study_design_scores_gemma":[0.00015649643,0.000040218067,4.8836756e-7,0.04431713,0.00153598,0.00006159326,0.00006839715,0.000104019135,0.19065097,0.006508336,0.7553948,0.001161542],"about_ca_topic_score_codex":0.000042857533,"about_ca_topic_score_gemma":0.0000015415906,"teacher_disagreement_score":0.7551645,"about_ca_system_score_codex":0.0027231828,"about_ca_system_score_gemma":0.0028707131,"threshold_uncertainty_score":0.99982},"labels":[],"label_agreement":null},{"id":"W4399361084","doi":"10.1016/j.jprot.2024.105215","title":"Development of automated proteomic workflows utilizing silicon-based coupling agents","year":2024,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of the Fraser Valley","funders":"University of British Columbia; University of the Fraser Valley","keywords":"Chemistry; Chromatography; Immobilized enzyme; Trypsin; Bovine serum albumin; Proteome; Combinatorial chemistry; Enzyme; Biochemistry","score_opus":0.029833497259546427,"score_gpt":0.3180720953749575,"score_spread":0.2882385981154111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399361084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8559944,0.00021934761,0.1426493,0.00010423292,0.00007677393,0.00038280193,0.000012867786,0.00026378728,0.00029646297],"genre_scores_gemma":[0.51557666,0.000022370525,0.48415825,0.000013248128,0.00008117583,0.00006898109,0.0000052944024,0.000036539303,0.000037493795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998118,0.000007322311,0.0011040898,0.00021408667,0.0003056678,0.00025086312],"domain_scores_gemma":[0.99874455,0.00005870463,0.00062950474,0.00025332812,0.00020494012,0.000108955515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048067005,0.00021114954,0.00034856444,0.00017756474,0.000105702835,0.00006357281,0.00037449098,0.00016682167,0.00010881449],"category_scores_gemma":[0.0000668277,0.00019238691,0.00018352934,0.00025588644,0.000055963606,0.00014981249,0.00006248041,0.0005127105,0.000007704704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006660725,0.000091726724,0.00020914807,0.00049820414,0.000076828816,0.000016326976,0.0002390597,0.0039072037,0.9916839,0.00024418515,0.00011627071,0.0028505465],"study_design_scores_gemma":[0.0003123155,0.000022755947,0.000029216648,0.0011092753,0.00003273715,0.000025441605,0.00007303907,0.1440209,0.85164696,0.00054633815,0.002006546,0.0001744682],"about_ca_topic_score_codex":0.0000020198852,"about_ca_topic_score_gemma":8.364774e-7,"teacher_disagreement_score":0.34150895,"about_ca_system_score_codex":0.0002871723,"about_ca_system_score_gemma":0.0006719522,"threshold_uncertainty_score":0.78453106},"labels":[],"label_agreement":null},{"id":"W4399555742","doi":"10.1016/j.mcpro.2024.100798","title":"Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification","year":2024,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Roots Exchange; European Research Council; Horizon 2020 Framework Programme; H2020 Marie Skłodowska-Curie Actions; FP7 Coordination of Research Activities; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Peptide; Boosting (machine learning); Proteomics; Computer science; Identification (biology); Computational biology; Chemistry; Artificial intelligence; Biology; Biochemistry; Gene","score_opus":0.015678492756053188,"score_gpt":0.2722396232600725,"score_spread":0.2565611305040193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399555742","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013709673,0.7950644,0.17636414,0.00015513264,0.00027827502,0.008948515,0.00039363696,0.0019787075,0.003107563],"genre_scores_gemma":[0.0010438982,0.80654055,0.16717172,0.000038430535,0.0006526049,0.010393139,0.0025354885,0.0010912722,0.010532918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9920055,0.00016256963,0.0029549785,0.0026203804,0.00089324784,0.0013632749],"domain_scores_gemma":[0.9947949,0.00007699417,0.0019575015,0.0025607834,0.00021710008,0.0003927222],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0010921777,0.0019633698,0.0022160332,0.00040915853,0.0007469537,0.0008283325,0.002095183,0.0012715108,0.0000631201],"category_scores_gemma":[0.0003006937,0.0016362951,0.0011668437,0.0009704942,0.00030971057,0.0004692951,0.0010843144,0.0038050648,0.00028397253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043244483,0.00026704077,0.000030427493,0.08372048,0.00073262374,0.00014844633,0.0006681221,0.000115352195,0.8080976,0.0007954064,0.0015538422,0.1038274],"study_design_scores_gemma":[0.00018307604,0.0000620674,7.1718496e-8,0.019940782,0.0011015169,0.0001036192,0.00011443394,0.0021741502,0.6242411,0.0011183356,0.3492084,0.0017524206],"about_ca_topic_score_codex":0.00019000376,"about_ca_topic_score_gemma":0.000011898902,"teacher_disagreement_score":0.34765458,"about_ca_system_score_codex":0.0018429884,"about_ca_system_score_gemma":0.00073185615,"threshold_uncertainty_score":0.999311},"labels":[],"label_agreement":null},{"id":"W4399771241","doi":"10.1016/j.bj.2024.100752","title":"High-throughput proteomics-guided biomarker discovery of hepatocellular carcinoma","year":2024,"lang":"en","type":"review","venue":"Biomedical Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation of Korea; Korea Dementia Research Center; Korea Health Industry Development Institute; Ministry of Health and Welfare; National Research Foundation; Canada Foundation for Innovation","keywords":"Biomarker; Proteomics; Biomarker discovery; Hepatocellular carcinoma; Medicine; Quantitative proteomics; Cancer; Bioinformatics; Oncology; Computational biology; Internal medicine; Biology","score_opus":0.05072674975517224,"score_gpt":0.34425919744602707,"score_spread":0.29353244769085485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399771241","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002562534,0.9674059,0.030391928,0.00013600942,0.00029583622,0.0005233746,0.00061701174,0.000110222645,0.00026346746],"genre_scores_gemma":[0.00022899,0.96330327,0.033465356,0.000014153831,0.0011392802,0.00027987236,0.00032930422,0.00014274174,0.0010970314],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964872,0.000052385625,0.0018001801,0.0005807988,0.00060760864,0.00047182248],"domain_scores_gemma":[0.9977886,0.00008141568,0.0010248328,0.00069515716,0.00009606302,0.00031393956],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040218362,0.0005973218,0.0016997933,0.00028614234,0.00012756269,0.00014501528,0.0009368248,0.00084367325,0.0003580424],"category_scores_gemma":[0.000078380195,0.0004190651,0.0010979963,0.00050401385,0.00041400833,0.00013352353,0.00039025757,0.0015689007,0.00006333226],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027306622,0.0005401267,0.000013792087,0.06295575,0.0012215764,0.00085735164,0.00004047357,1.03983325e-7,0.018090976,0.0052144853,0.037915155,0.87312293],"study_design_scores_gemma":[0.0002053196,0.000032065444,1.9372008e-7,0.012484216,0.0010375315,0.0014854304,0.0000068986396,0.0000337046,0.002659497,0.0048037358,0.9767896,0.00046179903],"about_ca_topic_score_codex":0.000025313911,"about_ca_topic_score_gemma":1.6567937e-7,"teacher_disagreement_score":0.9388745,"about_ca_system_score_codex":0.00038060243,"about_ca_system_score_gemma":0.00092158146,"threshold_uncertainty_score":0.99982613},"labels":[],"label_agreement":null},{"id":"W4399886517","doi":"10.1101/2024.06.20.599917","title":"High resolution profiling of cell cycle-dependent protein and phosphorylation abundance changes in non-transformed cells","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Profiling (computer programming); Cell biology; Phosphorylation; Abundance (ecology); Chemistry; Computational biology; Cell; Cell cycle; High resolution; Biology; Biochemistry; Computer science; Remote sensing; Geography; Ecology","score_opus":0.00699192917628868,"score_gpt":0.2171125455102625,"score_spread":0.2101206163339738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399886517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893513,0.0009094585,0.007349022,0.000113316535,0.00010301425,0.0014512362,0.00040988438,0.0002833607,0.00002941761],"genre_scores_gemma":[0.9345906,0.0006646378,0.06296886,0.000009365404,0.000116230935,0.0015284688,0.0000011659114,0.000106584535,0.000014123032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99797195,0.000019286108,0.00054415164,0.00085537706,0.0002532037,0.00035600906],"domain_scores_gemma":[0.99861366,0.000025234904,0.00039813324,0.00070126675,0.0001633604,0.00009837262],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032237606,0.0004022272,0.00043524173,0.00018273244,0.00007228872,0.000070050846,0.00029133915,0.00055670855,0.000017377877],"category_scores_gemma":[0.000017544076,0.0004627184,0.00006569733,0.0002771997,0.00009299024,0.00006891154,0.00032190626,0.00092738087,0.0000063385464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033966033,0.00008272437,0.00014002882,0.0029443088,0.000016479133,0.000006250983,0.00001664561,0.00030791704,0.99564797,0.00079352956,0.0000031745785,0.000006996108],"study_design_scores_gemma":[0.0002912258,0.00001966351,0.00023318111,0.0012719901,0.000040260868,6.7630532e-9,0.000005069464,0.0021396661,0.995296,0.0001981441,0.0000703357,0.0004344761],"about_ca_topic_score_codex":0.00014438559,"about_ca_topic_score_gemma":0.000014814908,"teacher_disagreement_score":0.055619832,"about_ca_system_score_codex":0.00031079262,"about_ca_system_score_gemma":0.00018858838,"threshold_uncertainty_score":0.99978244},"labels":[],"label_agreement":null},{"id":"W4399993467","doi":"10.1101/2024.06.20.599973","title":"LooMS: a novel peptide identification tools for data independent acquisition","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; University of Waterloo","funders":"","keywords":"Identification (biology); Computer science; Computational biology; Biology","score_opus":0.037640303137876,"score_gpt":0.28469913371250016,"score_spread":0.24705883057462416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399993467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27087462,0.001449104,0.7042363,0.00088200934,0.0007325262,0.002770362,0.01665359,0.0023289637,0.00007249502],"genre_scores_gemma":[0.87895554,0.00025987526,0.11587525,0.00009962812,0.0009081553,0.0035354604,0.00007460925,0.00023456408,0.000056886856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99663776,0.000012461879,0.00077819,0.0017733274,0.0003519114,0.0004463345],"domain_scores_gemma":[0.9950146,0.00010302266,0.000574383,0.0037115696,0.00042947443,0.00016696111],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005779543,0.00051914714,0.00041924717,0.00015645615,0.00019742169,0.0007751787,0.0015841728,0.00070004433,0.000070071204],"category_scores_gemma":[0.00022308463,0.0006096362,0.00016820623,0.0002501491,0.00008200492,0.00034736152,0.0020654297,0.0009229596,0.00008310122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020954936,0.00013918236,0.00004738457,0.0011995677,0.000114336435,0.0000035876708,0.000003903627,0.000041432824,0.99093413,0.006459802,0.0010156907,0.00002002113],"study_design_scores_gemma":[0.00036456305,0.000011142207,0.00034554652,0.00077600696,0.00030112365,4.151069e-8,0.0000064182523,0.0064917402,0.9646448,0.00045151453,0.025688808,0.0009183074],"about_ca_topic_score_codex":0.000025545947,"about_ca_topic_score_gemma":0.000001596301,"teacher_disagreement_score":0.6080809,"about_ca_system_score_codex":0.00043910736,"about_ca_system_score_gemma":0.00041481055,"threshold_uncertainty_score":0.9996355},"labels":[],"label_agreement":null},{"id":"W4400098655","doi":"10.22541/au.171946406.66273431/v1","title":"Filling the Gaps in Peptide Maps with a Platform Assay for Top-Down Characterization of Purified Protein Samples","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AbCellera (Canada)","funders":"","keywords":"Fragmentation (computing); Chemistry; Peptide; Electron-transfer dissociation; Chromatography; Computer science; Mass spectrometry; Biochemistry; Tandem mass spectrometry","score_opus":0.02236004123441961,"score_gpt":0.269847326541055,"score_spread":0.24748728530663536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400098655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.642183,0.000078812816,0.33981428,0.0013259401,0.000028444707,0.004221105,0.0016511076,0.00034160138,0.010355727],"genre_scores_gemma":[0.7530754,0.00012228657,0.21928844,0.000057672067,0.00021408607,0.014791699,0.0028143844,0.000118674914,0.009517333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998825,0.000005723451,0.00042917632,0.00041622232,0.00013309029,0.00019078245],"domain_scores_gemma":[0.99895686,0.00007746038,0.00028686956,0.0005635437,0.00008846537,0.00002681429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022707983,0.00023255727,0.00027691066,0.00006417896,0.0000554158,0.000060723087,0.00033687215,0.00024981433,0.00008424056],"category_scores_gemma":[0.00003383242,0.00015609647,0.00009634389,0.00010699037,0.00004934214,0.000038684422,0.00030042362,0.0005577375,0.0000017508015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001191186,0.0000701136,0.000117548945,0.002703297,0.00006009133,0.0000010551524,0.00032218153,0.00024109834,0.9267724,0.06581882,0.00008087233,0.0036933767],"study_design_scores_gemma":[0.00015457055,0.000015157861,0.000014860803,0.0011025446,0.000027627146,0.000002083645,0.000105243766,0.001168473,0.8824863,0.10547888,0.009203839,0.00024042741],"about_ca_topic_score_codex":0.00010376595,"about_ca_topic_score_gemma":0.00006851858,"teacher_disagreement_score":0.12052584,"about_ca_system_score_codex":0.00008025729,"about_ca_system_score_gemma":0.00011229811,"threshold_uncertainty_score":0.6365429},"labels":[],"label_agreement":null},{"id":"W4400458746","doi":"10.1007/s10930-024-10214-z","title":"Multiple Protein Profiler 1.0 (MPP): A Webserver for Predicting and Visualizing Physiochemical Properties of Proteins at the Proteome Level","year":2024,"lang":"en","type":"article","venue":"The Protein Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada); Canadian Bioethics Society; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Research Nova Scotia; Canadian Institutes of Health Research; Dalhousie University; Genome Canada; Dalhousie Medical Research Foundation","keywords":"Proteome; Visualization; Computer science; Computational biology; Profiling (computer programming); Bioinformatics; Biology; Data mining; Operating system","score_opus":0.04909545888236236,"score_gpt":0.2917700585916594,"score_spread":0.24267459970929703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400458746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97260255,0.0017278455,0.01664584,0.0028512217,0.000019981955,0.0057625254,0.00010768724,0.00016900725,0.00011336959],"genre_scores_gemma":[0.96547246,0.000022984827,0.02076259,0.000023474922,0.00045098775,0.01004947,0.0000071070785,0.00008673633,0.003124194],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998211,0.00005485712,0.0005830399,0.0003723383,0.00035386003,0.00042486825],"domain_scores_gemma":[0.99888635,0.00007338092,0.0003275709,0.0004343942,0.00018588507,0.000092400034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007577304,0.00027880273,0.00026381097,0.000043498665,0.0008161981,0.00018685147,0.0004991167,0.00013654902,0.00007139105],"category_scores_gemma":[0.000272173,0.0001547294,0.00018485743,0.00017177519,0.00041974324,0.00021962871,0.00033928425,0.00077342056,0.000004013523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001953223,0.00005513078,0.000036425954,0.0010045427,0.00007665838,0.0000014291847,0.000540924,0.00001190741,0.99400115,0.0008106167,0.00008674602,0.0031791297],"study_design_scores_gemma":[0.00040574966,0.0000787714,0.000010619788,0.0018591151,0.00004117018,0.00011601419,0.00019875592,0.0035574324,0.98313004,0.0072363345,0.003150002,0.00021598721],"about_ca_topic_score_codex":0.00002739749,"about_ca_topic_score_gemma":0.0000055198816,"teacher_disagreement_score":0.01087112,"about_ca_system_score_codex":0.00012219575,"about_ca_system_score_gemma":0.00015148972,"threshold_uncertainty_score":0.63096815},"labels":[],"label_agreement":null},{"id":"W4400519584","doi":"10.1007/978-981-97-5087-0_10","title":"PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Deep learning; Machine learning","score_opus":0.020356036881010037,"score_gpt":0.2679438041019609,"score_spread":0.24758776722095086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400519584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064432668,0.0001715237,0.990753,0.00008909187,0.00010722631,0.0005134429,0.000009799544,0.00012915193,0.0017834846],"genre_scores_gemma":[0.69428396,0.000121403005,0.3038971,0.000102895036,0.0006032947,0.00010161498,0.000035549383,0.00010330867,0.0007508513],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981445,0.000005027983,0.00046497973,0.00069024233,0.00036529056,0.0003299548],"domain_scores_gemma":[0.9985502,0.00015793536,0.00046512537,0.000637114,0.00014497749,0.00004464995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031634813,0.00030180853,0.00027597867,0.00018652981,0.0002851056,0.00019290682,0.0008383022,0.00022381879,0.000019191182],"category_scores_gemma":[0.00006173662,0.00023908154,0.00009063318,0.00022553527,0.00028816672,0.00035548827,0.0007472207,0.0010270865,0.0000019645322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008405194,0.0000082786055,0.000019362278,0.00034873147,0.000008722394,0.0000043627074,0.00081394607,0.08872242,0.39325157,0.00722282,5.6370826e-8,0.50959134],"study_design_scores_gemma":[0.000046345467,0.000018129469,0.0000013743036,0.00079714286,0.000015082943,0.0000204943,9.739906e-7,0.7261029,0.19398664,0.07850271,0.00025545713,0.0002527421],"about_ca_topic_score_codex":0.000022866108,"about_ca_topic_score_gemma":0.0000044967483,"teacher_disagreement_score":0.6878407,"about_ca_system_score_codex":0.00024283797,"about_ca_system_score_gemma":0.00015483129,"threshold_uncertainty_score":0.9749462},"labels":[],"label_agreement":null},{"id":"W4400593097","doi":"10.1007/978-1-0716-4007-4_1","title":"Exploring the Alternative Proteome with OpenProt and Mass Spectrometry","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Proteome; Mass spectrometry; Computational biology; Chemistry; Chromatography; Biology; Biochemistry","score_opus":0.05562045581601686,"score_gpt":0.40435186247882904,"score_spread":0.34873140666281216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400593097","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04809674,0.0005646191,0.94816214,0.0004893869,0.000020248557,0.00030970995,0.000007255219,0.00007324343,0.002276687],"genre_scores_gemma":[0.019190334,0.00017552404,0.97873384,0.000051517763,0.000037751273,0.0016921676,0.0000042982156,0.000023123617,0.00009143611],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992304,0.00009384381,0.00013000103,0.0003334451,0.000037350404,0.0001749528],"domain_scores_gemma":[0.99953544,0.00013560323,0.000029936251,0.00026172298,0.000013153257,0.000024153049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003877526,0.00011623672,0.00013229779,0.00006416894,0.000042050433,0.000029746627,0.0001943034,0.000049474354,0.000028517303],"category_scores_gemma":[0.000047630518,0.00007436046,0.000024515077,0.00023280346,0.00013201112,0.000041363135,0.00009948406,0.00034176387,0.0000018545821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009136007,0.000005432268,0.00010185426,0.000028763077,0.000021126616,0.00001885832,0.00006187631,0.000011678462,0.9538982,0.030087441,6.2123576e-7,0.01575503],"study_design_scores_gemma":[0.00007212184,0.00003481807,0.000008817903,0.000042452477,0.0000070725087,0.00002497276,0.000046825928,0.00057028775,0.89551,0.09936636,0.004212643,0.00010360872],"about_ca_topic_score_codex":0.000020123847,"about_ca_topic_score_gemma":0.0000011365945,"teacher_disagreement_score":0.06927892,"about_ca_system_score_codex":0.000037994996,"about_ca_system_score_gemma":0.0000151298445,"threshold_uncertainty_score":0.30323315},"labels":[],"label_agreement":null},{"id":"W4401156506","doi":"10.1101/2024.07.29.605591","title":"Narrow window data-independent acquisition on the Orbitrap Astral Mass Spectrometer enables fast and deep coverage of the plasma glycoproteome","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Orbitrap; Mass spectrometry; Glycoproteomics; Chemistry; Analytical Chemistry (journal); Glycan; Chromatography; Glycoprotein","score_opus":0.013285228785734956,"score_gpt":0.2243100710417734,"score_spread":0.21102484225603843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401156506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910929,0.00046955244,0.0033805333,0.0009209865,0.00020523266,0.0011089373,0.0023903928,0.00027459473,0.00015687541],"genre_scores_gemma":[0.9899553,0.00018323361,0.008793282,0.00011577077,0.00031264956,0.000496379,0.0000033580084,0.00011582764,0.00002417645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975161,0.000053796688,0.00049244973,0.00106115,0.0004686347,0.0004078784],"domain_scores_gemma":[0.9964712,0.00009604574,0.0004583787,0.0027305996,0.00013375688,0.00011000071],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039505103,0.0005117308,0.0004051016,0.00009594825,0.00023437993,0.00024933807,0.001362767,0.0004493266,0.00016128388],"category_scores_gemma":[0.000057958423,0.0003676948,0.00015060787,0.00028613277,0.00021973785,0.00009831743,0.0014413523,0.0014868804,0.000016583861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004405844,0.00006949254,0.00021278945,0.00054132467,0.00013366235,0.000015739422,0.000010161422,0.0001465231,0.9952252,0.0034801632,0.00011127226,0.000009608231],"study_design_scores_gemma":[0.00022952969,0.0000273202,0.0009191929,0.0005355029,0.00013260818,1.9054407e-7,0.000007777504,0.0012053908,0.9949168,0.00046001092,0.0011255463,0.00044013245],"about_ca_topic_score_codex":0.000017356784,"about_ca_topic_score_gemma":0.0000026439832,"teacher_disagreement_score":0.005412749,"about_ca_system_score_codex":0.00021234324,"about_ca_system_score_gemma":0.00020520676,"threshold_uncertainty_score":0.9998775},"labels":[],"label_agreement":null},{"id":"W4401233099","doi":"10.1038/s41598-024-68377-9","title":"Targeted proteomic approach for quantification of collagen type I and type III in formalin-fixed paraffin-embedded tissue","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Calgary Firefighters Burn Treatment Society","keywords":"Extracellular matrix; Chemistry; Type I collagen; Biomedical engineering; Computational biology; Pathology; Cell biology; Biology; Biochemistry; Medicine","score_opus":0.022259957481666134,"score_gpt":0.30721630946540335,"score_spread":0.2849563519837372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401233099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9125116,0.0009300427,0.0819479,0.00008171797,0.0005957306,0.0020418223,0.000025726373,0.00024699487,0.0016185086],"genre_scores_gemma":[0.90106726,0.000016795933,0.09474533,0.000002671112,0.000027754724,0.00041742902,0.00039203072,0.000022417893,0.003308328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985703,0.0000071171507,0.0005038296,0.0005843599,0.00014579271,0.00018859656],"domain_scores_gemma":[0.9989878,0.000024133982,0.0001987245,0.00053398527,0.00020748121,0.00004790564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006084768,0.00011693231,0.00018138588,0.000116607414,0.0001075267,0.00010199746,0.00010562106,0.00011105439,0.000040245806],"category_scores_gemma":[0.00009306441,0.000111983856,0.000030873205,0.00069400953,0.0001222067,0.000119719116,0.000045715686,0.000073645926,0.0000022396255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003057158,0.000049240192,0.00012427957,0.00031479038,0.00000829922,0.0000060025754,0.00019829882,0.0001750034,0.9944879,0.0021160787,0.0013084444,0.0011810835],"study_design_scores_gemma":[0.00009346463,0.000018382632,0.000016761549,0.000050754985,0.000014487272,0.0000340424,0.000058984064,0.009859671,0.96844625,0.011190705,0.010083316,0.00013315643],"about_ca_topic_score_codex":0.00001570901,"about_ca_topic_score_gemma":0.000003951042,"teacher_disagreement_score":0.026041634,"about_ca_system_score_codex":0.00004296204,"about_ca_system_score_gemma":0.00016045019,"threshold_uncertainty_score":0.4566569},"labels":[],"label_agreement":null},{"id":"W4401761007","doi":"10.1016/j.aca.2024.343135","title":"High-resolution quadrupole improves spectral purity and reduces interference from non-target ions in isobaric multiplexed quantitative proteomics","year":2024,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Sciex (Canada)","funders":"Canadian Institutes of Health Research; American Society for Mass Spectrometry; Mitacs; Canada Research Chairs; Genome Canada","keywords":"Chemistry; Isobaric process; Mass spectrometry; Analyte; Proteomics; Isobaric labeling; Fragmentation (computing); Chromatography; Analytical Chemistry (journal); Deconvolution; Quantitative proteomics; Ion; Quadrupole; Top-down proteomics; Monoisotopic mass; Tandem mass spectrometry; Protein mass spectrometry; Biochemistry; Algorithm; Atomic physics","score_opus":0.014206397121203165,"score_gpt":0.281352573784834,"score_spread":0.2671461766636309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401761007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929634,0.0000639475,0.0031779364,0.002010691,0.000038862207,0.00035601016,0.0003036555,0.00020351089,0.0008820202],"genre_scores_gemma":[0.8579109,0.00023344425,0.14128618,0.00002943168,0.00007818366,0.00016354263,0.00013657249,0.000027964617,0.00013382433],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985317,0.000017410604,0.00038786893,0.0006314076,0.00011004322,0.00032155105],"domain_scores_gemma":[0.99925286,0.0001674214,0.00009678904,0.0003434366,0.000036835085,0.00010263381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009588357,0.00024566776,0.00029567227,0.00012903645,0.00011036759,0.00014022288,0.0002806241,0.00015933577,0.00011786541],"category_scores_gemma":[0.000079617195,0.00023681465,0.00008175382,0.0002971352,0.00017210617,0.00026483127,0.000147006,0.00053002837,0.000014773671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050421382,0.00009943244,0.00016244432,0.000045255398,0.00004876237,0.000003009269,0.00045748602,0.000004463691,0.99347293,0.005284104,0.00020068584,0.00017099439],"study_design_scores_gemma":[0.00027606369,0.000054441505,0.0009795575,0.00024397018,0.000056475317,0.0000035627786,0.00027354664,0.11792725,0.8171087,0.06239968,0.00029614568,0.00038060494],"about_ca_topic_score_codex":0.0003775778,"about_ca_topic_score_gemma":0.00015358679,"teacher_disagreement_score":0.17636424,"about_ca_system_score_codex":0.00014339393,"about_ca_system_score_gemma":0.00008274118,"threshold_uncertainty_score":0.9657022},"labels":[],"label_agreement":null},{"id":"W4401996367","doi":"10.1038/s42003-024-06729-x","title":"SLAPSHOT reveals rapid dynamics of extracellularly exposed proteome in response to calcium-activated plasma membrane phospholipid scrambling","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Institute of Neurological Disorders and Stroke; University of California, San Francisco","keywords":"Scrambling; Phospholipid; Calcium; Membrane; Proteome; Chemistry; Dynamics (music); Biophysics; Phospholipid scramblase; Cell biology; Biochemistry; Phosphatidylserine; Biology; Computer science; Physics; Organic chemistry","score_opus":0.051083476121561,"score_gpt":0.340389266636339,"score_spread":0.289305790514778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401996367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96061265,0.0013305225,0.028462358,0.004952088,0.000043623062,0.00094774715,0.00036807542,0.0003665883,0.0029163319],"genre_scores_gemma":[0.91095936,0.00040081024,0.086627014,0.00004282197,0.000017207938,0.0010544402,0.00041637654,0.000040625015,0.00044136576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984448,0.0001603536,0.0006520235,0.00038508023,0.0000686697,0.00028909964],"domain_scores_gemma":[0.9968539,0.0006878711,0.00014520765,0.0020918846,0.00013745118,0.00008368188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006012877,0.00019672148,0.0003255181,0.00027974343,0.00012677285,0.000028578888,0.0011801095,0.00028148576,0.00016780902],"category_scores_gemma":[0.00034016097,0.00020618182,0.00007721303,0.00094778126,0.00023564081,0.000090951915,0.00045070326,0.0005614983,0.000021361782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022928853,0.00011078487,0.00012455322,0.00006660032,0.000020448495,0.000001365905,0.00024392166,0.000040512776,0.9802891,0.01328714,0.000025482015,0.0055608056],"study_design_scores_gemma":[0.00029641786,0.000075004595,0.000033333465,0.0002537012,0.000013260586,0.000011657803,0.0001763343,0.009708049,0.9664195,0.004569585,0.018181514,0.0002616269],"about_ca_topic_score_codex":0.00007072756,"about_ca_topic_score_gemma":0.000039148577,"teacher_disagreement_score":0.058164652,"about_ca_system_score_codex":0.0002455486,"about_ca_system_score_gemma":0.00012546132,"threshold_uncertainty_score":0.8407851},"labels":[],"label_agreement":null},{"id":"W4402280417","doi":"10.3389/fendo.2024.1476509","title":"Corrigendum: Simultaneous extraction and detection of peptides, steroids, and proteins in small tissue samples","year":2024,"lang":"en","type":"erratum","venue":"Frontiers in Endocrinology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Extraction (chemistry); Chemistry; Chromatography; Computational biology; Biology","score_opus":0.015358322758613478,"score_gpt":0.26611427454703895,"score_spread":0.25075595178842547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402280417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2741332,0.16357651,0.49449432,0.000890756,0.031022357,0.0076297154,0.001953136,0.0014406182,0.024859365],"genre_scores_gemma":[0.53673714,0.06374864,0.25258273,0.000055938428,0.0012262773,0.0028882069,0.00087922625,0.00036953946,0.1415123],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985324,0.000025451474,0.00045100282,0.0005892769,0.000065768676,0.00033607802],"domain_scores_gemma":[0.99936193,0.00004815551,0.0002157844,0.00029946808,0.000031951193,0.000042734377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000046815578,0.00028113447,0.00049428974,0.0003445937,0.00003900523,0.000018073024,0.00014931522,0.00055048295,0.0000124558965],"category_scores_gemma":[0.00007630227,0.00031713673,0.000031914293,0.00013675593,0.0001937961,0.0000458553,0.0001304837,0.0012744032,0.0000010494509],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031218547,0.00025926565,0.0038404132,0.0045065274,0.00015149343,0.00049663166,0.00068129896,0.00008180791,0.2626551,0.0009963884,0.034741066,0.6912778],"study_design_scores_gemma":[0.00062798173,0.0001950468,0.00017132523,0.00066974317,0.00008491453,0.0003935065,0.0006401452,0.0020748237,0.17614207,0.02601828,0.7922942,0.00068796304],"about_ca_topic_score_codex":0.0006704536,"about_ca_topic_score_gemma":0.0017074563,"teacher_disagreement_score":0.7575531,"about_ca_system_score_codex":0.00018434442,"about_ca_system_score_gemma":0.00005195117,"threshold_uncertainty_score":0.99992806},"labels":[],"label_agreement":null},{"id":"W4402363242","doi":"10.1021/acs.jproteome.4c00363","title":"A Framework for Quality Control in Quantitative Proteomics","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Army Research Office; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; University of Washington; National Institute on Aging; Intelligence Advanced Research Projects Activity; National Institutes of Health","keywords":"Proteomics; Quality (philosophy); Quantitative proteomics; Computer science; Computational biology; Control (management); Data science; Chemistry; Biology; Artificial intelligence; Biochemistry; Physics","score_opus":0.18449193722385676,"score_gpt":0.5369115189509517,"score_spread":0.3524195817270949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402363242","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08994695,0.0009922021,0.9030463,0.0038905875,0.000040736428,0.001436473,0.00007297036,0.000040408187,0.0005333816],"genre_scores_gemma":[0.40341178,0.00015171152,0.5946561,0.000018696117,0.00025815776,0.0012038436,0.0000017822347,0.00003489883,0.00026299458],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803704,0.000105850784,0.00071190455,0.0002356559,0.0005088054,0.0004007629],"domain_scores_gemma":[0.9970558,0.0017706108,0.00018721446,0.00024900556,0.00062656845,0.0001107441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004368879,0.00011849359,0.0003144147,0.00033534487,0.00010255428,0.0001239527,0.00040946875,0.00019516326,0.00008887263],"category_scores_gemma":[0.0020878236,0.000098797485,0.00017214463,0.0005143716,0.00013390649,0.00020551715,0.000052169325,0.00170141,0.00000992731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007429424,0.00016341438,0.00026937676,0.0009536224,0.00006269829,0.000031110594,0.0004344975,0.000049680533,0.67691606,0.31710458,0.0003029746,0.0029690121],"study_design_scores_gemma":[0.00068723114,0.00029339574,0.000043756536,0.0012058693,0.000008475872,0.000026931473,0.00039256553,0.0029534798,0.1760018,0.8092902,0.008934451,0.00016187876],"about_ca_topic_score_codex":0.0000178366,"about_ca_topic_score_gemma":0.000003967109,"teacher_disagreement_score":0.5009143,"about_ca_system_score_codex":0.00032837733,"about_ca_system_score_gemma":0.00037941657,"threshold_uncertainty_score":0.7391875},"labels":[],"label_agreement":null},{"id":"W4402512232","doi":"10.1016/j.mcpro.2024.100840","title":"metaExpertPro: A Computational Workflow for Metaproteomics Spectral Library Construction and Data-Independent Acquisition Mass Spectrometry Data Analysis","year":2024,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Turun Yliopisto; National Natural Science Foundation of China; Westlake University; University of Ottawa","keywords":"Metaproteomics; Workflow; Mass spectrometry; Computer science; Data mining; Computational biology; Information retrieval; Chemistry; Proteomics; Chromatography; Database; Biology","score_opus":0.01830352981102481,"score_gpt":0.2810021132251137,"score_spread":0.2626985834140889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402512232","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07534643,0.0022176623,0.91716605,0.00066366367,0.00006158853,0.0011788557,0.002664012,0.0004553836,0.0002463719],"genre_scores_gemma":[0.12511715,0.00017745582,0.8583505,0.00008066072,0.00021896252,0.00038876972,0.015428514,0.00010826494,0.00012972372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969262,0.00004424302,0.0005957747,0.001639441,0.0003633824,0.00043095404],"domain_scores_gemma":[0.99742097,0.00008778016,0.00020232535,0.002064374,0.00005808266,0.00016647179],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004323822,0.00040885332,0.0004900736,0.00035036597,0.00022671671,0.0005714106,0.0011315778,0.00027022374,0.00021575061],"category_scores_gemma":[0.000035568904,0.0004365731,0.00022176171,0.0008305622,0.00016092231,0.0008402281,0.0007432727,0.00045263077,0.000008078087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087796296,0.000076506774,0.00012907306,0.0002920037,0.0016033727,0.00005328773,0.000030686846,0.0022465193,0.96494645,0.026773918,0.00015447642,0.0036059148],"study_design_scores_gemma":[0.00027128455,0.000021099508,0.0000040543187,0.000033989338,0.0009928814,0.00003567311,0.00003060502,0.32257363,0.61280704,0.061182603,0.0016793146,0.00036779215],"about_ca_topic_score_codex":0.00001183925,"about_ca_topic_score_gemma":0.0000013882204,"teacher_disagreement_score":0.35213938,"about_ca_system_score_codex":0.00010682406,"about_ca_system_score_gemma":0.00015951062,"threshold_uncertainty_score":0.9998086},"labels":[],"label_agreement":null},{"id":"W4402664793","doi":"10.1002/jms.5089","title":"Amino Acid Composition Determination From the Fractional Mass of Peptides","year":2024,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Clinical Trials Fund, Canadian Institutes of Health Research","keywords":"Chemistry; Peptide; Amino acid; Composition (language); Mass spectrometry; Chromatography; Peptide mass fingerprinting; Molecular mass; Combinatorial chemistry; Proteomics; Biochemistry","score_opus":0.010661860014817545,"score_gpt":0.2792007084557011,"score_spread":0.26853884844088355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402664793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44880828,0.0011571373,0.54514134,0.0015400571,0.00011753835,0.00006110582,0.00008642127,0.00004483029,0.0030432725],"genre_scores_gemma":[0.85815316,0.00019357137,0.14104086,0.000025842382,0.00046824836,0.000005680047,0.000015449275,0.00001329772,0.00008390308],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991321,0.000013501057,0.00037467174,0.00010531243,0.0002808019,0.00009359547],"domain_scores_gemma":[0.9991302,0.00024939695,0.00032674926,0.0001545706,0.00010482736,0.000034253684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016041836,0.000091193135,0.00014943689,0.000098352895,0.00006034759,0.000048496695,0.0002130232,0.00007447662,0.00054815004],"category_scores_gemma":[0.000029559242,0.00006776127,0.00015013712,0.00018952938,0.000046914407,0.00019635684,0.000018030358,0.00041164248,0.0000066596367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002425703,0.00003166696,0.00076482916,0.000027423775,0.000047035366,0.000009077654,0.000028315624,0.000019667188,0.9943179,0.0021221223,0.00033508788,0.0022726145],"study_design_scores_gemma":[0.00012363566,0.00004280827,0.0011018632,0.0001510728,0.000058588794,0.00006980626,0.00008787717,0.00078600756,0.9406387,0.055116415,0.0017467341,0.000076467455],"about_ca_topic_score_codex":0.0000047070625,"about_ca_topic_score_gemma":4.4322232e-7,"teacher_disagreement_score":0.40934485,"about_ca_system_score_codex":0.00014986553,"about_ca_system_score_gemma":0.00004046022,"threshold_uncertainty_score":0.6001858},"labels":[],"label_agreement":null},{"id":"W4402792167","doi":"10.1021/acsomega.4c03955","title":"Trypsin Digestion Conditions of Human Plasma for Observation of Peptides and Proteins from Tandem Mass Spectrometry","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Taiwan University","keywords":"Trypsin; Human plasma; Digestion (alchemy); Tandem mass spectrometry; Chromatography; Chemistry; Mass spectrometry; Protein mass spectrometry; Tandem; Tandem mass tag; Biochemistry; Proteomics; Enzyme; Quantitative proteomics; Materials science","score_opus":0.02404911929504933,"score_gpt":0.29663030791049494,"score_spread":0.2725811886154456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402792167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96816695,0.00011528282,0.029998494,0.00015928883,0.000009826525,0.00029433466,0.00057507737,0.0000925482,0.0005881739],"genre_scores_gemma":[0.9333476,0.000039599214,0.06558229,0.0000045661723,0.00005497067,0.0002892262,0.0003480305,0.000016957532,0.00031678437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99943703,0.0000033298213,0.00022583007,0.00017589633,0.00007450096,0.00008341476],"domain_scores_gemma":[0.999544,0.000111340814,0.00010357197,0.00016513045,0.000052818305,0.00002309628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045997196,0.00008164224,0.0001333026,0.000051978874,0.00006488906,0.000017841538,0.00007590868,0.000086018525,0.000016724543],"category_scores_gemma":[0.00003515238,0.000084036175,0.000041243486,0.00012681086,0.000063748346,0.00011154081,0.000018501709,0.0000867514,6.114495e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005832712,0.00002685744,0.0011938161,0.00014397384,0.000021726206,2.1191315e-7,0.000047046553,0.0000048237557,0.94990104,0.048171762,0.00008903475,0.0003938774],"study_design_scores_gemma":[0.0001578456,0.000041213585,0.0013237385,0.00014517113,0.00002926595,7.1829277e-7,0.000051364805,0.00030658,0.86762637,0.12958775,0.00065329747,0.00007670816],"about_ca_topic_score_codex":0.000034254568,"about_ca_topic_score_gemma":0.000007108576,"teacher_disagreement_score":0.08227469,"about_ca_system_score_codex":0.00003471634,"about_ca_system_score_gemma":0.000018827493,"threshold_uncertainty_score":0.34268957},"labels":[],"label_agreement":null},{"id":"W4402910991","doi":"10.1101/2024.09.25.615060","title":"Ultra-Fast Multi-Organ Proteomics Unveils Tissue-Specific Mechanisms of Drug Efficacy and Toxicity","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Drug; Toxicity; Proteomics; Drug toxicity; Medicine; Pharmacology; Computational biology; Biology; Internal medicine","score_opus":0.01324030344091556,"score_gpt":0.2415899811366241,"score_spread":0.22834967769570855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402910991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8834872,0.001289618,0.109919876,0.00023016904,0.00024108728,0.0018713401,0.0016908424,0.0012084837,0.000061357205],"genre_scores_gemma":[0.783826,0.0006348194,0.21449506,0.000025978543,0.00018824995,0.0005983692,0.0000016332443,0.00020078637,0.000029095914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970137,0.000033036296,0.00078671327,0.0013562784,0.00031035606,0.00049993495],"domain_scores_gemma":[0.99715847,0.000065434666,0.0005555644,0.0016414935,0.00030294442,0.00027608906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032638595,0.00070076564,0.0007355786,0.00017439493,0.00015796078,0.00017270287,0.00072064553,0.00068602426,0.000079531506],"category_scores_gemma":[0.00006963355,0.0007752338,0.00013626186,0.00035607404,0.00022451689,0.00007392874,0.0007942166,0.001371697,0.000030889383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021462889,0.00025400237,0.000054972865,0.0012406528,0.00007586544,0.000012827692,0.000023401848,0.00002038555,0.99153835,0.0066713565,0.000076300304,0.000010448124],"study_design_scores_gemma":[0.00048574377,0.00001912592,0.00012202682,0.00074419397,0.000073748146,6.79509e-8,0.0000056726612,0.00016425473,0.9957802,0.00033150756,0.001521986,0.0007514184],"about_ca_topic_score_codex":0.000022945584,"about_ca_topic_score_gemma":0.0000012192565,"teacher_disagreement_score":0.10457518,"about_ca_system_score_codex":0.00023965386,"about_ca_system_score_gemma":0.00024279064,"threshold_uncertainty_score":0.9994699},"labels":[],"label_agreement":null},{"id":"W4402983075","doi":"10.1038/s41419-024-07046-1","title":"Deciphering the ghost proteome in ovarian cancer cells by deep proteogenomic characterization","year":2024,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds Wetenschappelijk Onderzoek; Vlaamse regering; Institut National de la Santé et de la Recherche Médicale; Université de Lille","keywords":"Proteogenomics; Proteome; Proteomics; Biology; Computational biology; Transcriptome; Genomics; Genome; Bioinformatics; Genetics; Gene expression; Gene","score_opus":0.006694526125552072,"score_gpt":0.23753637481516693,"score_spread":0.23084184868961485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402983075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95747346,0.0028992821,0.0363557,0.00062632473,0.0000362544,0.0009877796,0.0003330492,0.00014768414,0.001140466],"genre_scores_gemma":[0.9948695,0.00072404084,0.0009924625,0.00012749575,0.00009169655,0.002030827,0.00011317239,0.000030978794,0.0010198576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934435,0.0000066935772,0.00014034945,0.00027637364,0.00005925858,0.00017300254],"domain_scores_gemma":[0.99958205,0.000014366576,0.000033340075,0.00019955623,0.000010729433,0.00015995053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040665418,0.00012077189,0.00007467611,0.000019710815,0.00009623956,0.00009483874,0.00011105639,0.00004604828,0.00017602056],"category_scores_gemma":[0.000005546626,0.000095951465,0.000029934943,0.00008884956,0.000026852205,0.00008570206,0.00004773988,0.00013159007,0.0000092303235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025047333,0.000031988122,0.001137749,0.00022419877,0.0000032152586,0.0000072037055,0.00007812529,0.000025671981,0.99441946,0.00028218984,0.00003782386,0.003727309],"study_design_scores_gemma":[0.00034126936,0.000008556305,0.0013612934,0.00018888853,0.000046514717,0.0000015244248,0.000035916975,0.0119634755,0.95100653,0.0042929347,0.030376023,0.00037707292],"about_ca_topic_score_codex":0.00003993354,"about_ca_topic_score_gemma":0.00000287812,"teacher_disagreement_score":0.043412946,"about_ca_system_score_codex":0.000055296816,"about_ca_system_score_gemma":0.00006674505,"threshold_uncertainty_score":0.3912787},"labels":[],"label_agreement":null},{"id":"W4403072192","doi":"10.1093/clinchem/hvae106.506","title":"B-146 Unlocking the potential of large-cohort proteomics studies with the Orbitrap Astral mass platform","year":2024,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Orbitrap; Proteomics; Computational biology; Biology; Chemistry; Mass spectrometry; Chromatography; Genetics","score_opus":0.03474889250768195,"score_gpt":0.36709242820171617,"score_spread":0.33234353569403424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403072192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816281,0.00081310375,0.011463129,0.0020874052,0.00005411638,0.0003603392,0.00008388526,0.00022770607,0.0032821847],"genre_scores_gemma":[0.98994166,0.00033796977,0.007134121,0.00009209091,0.0005491762,0.00030336578,0.000027235526,0.000040683244,0.001573698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984834,0.000009184159,0.0005579189,0.00041586722,0.00023856682,0.00029501642],"domain_scores_gemma":[0.9985886,0.0003702473,0.00019699986,0.0006735779,0.00010831654,0.00006222039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005514546,0.00021324026,0.00029711745,0.0000064855844,0.00020951593,0.000052089963,0.0005424638,0.00020698548,0.00010475343],"category_scores_gemma":[0.000104401304,0.00011359065,0.00023082137,0.00015241935,0.0005493408,0.00006245594,0.0001629808,0.0010090956,0.0000052660857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063257955,0.0006870323,0.030182254,0.003993349,0.0032856143,0.00012285836,0.0005359368,0.0005501776,0.93061066,0.0095623145,0.010444122,0.009393133],"study_design_scores_gemma":[0.000408918,0.000036262092,0.0001269887,0.0003521472,0.0002735195,0.00004916903,0.0012405639,0.0015545544,0.9723424,0.008407993,0.014880073,0.0003274531],"about_ca_topic_score_codex":0.0000018359693,"about_ca_topic_score_gemma":0.0000010794151,"teacher_disagreement_score":0.04173173,"about_ca_system_score_codex":0.000046821315,"about_ca_system_score_gemma":0.000112443544,"threshold_uncertainty_score":0.46320924},"labels":[],"label_agreement":null},{"id":"W4403118393","doi":"10.1101/2024.10.03.616533","title":"Computational design and evaluation of optimal bait sets for scalable proximity proteomics","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Scalability; Computer science; Proteomics; Biology; Database","score_opus":0.03229247299458684,"score_gpt":0.28983895996790376,"score_spread":0.25754648697331695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403118393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.561654,0.0004600968,0.43386665,0.00012722288,0.00006206358,0.0028334656,0.0007122842,0.0002728028,0.0000114549985],"genre_scores_gemma":[0.50895023,0.00002764437,0.4879547,0.000009381616,0.00006671364,0.0029238951,0.000002025198,0.000062846535,0.0000025493057],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99803543,0.00004197139,0.0004949194,0.0007840607,0.0003795317,0.00026408673],"domain_scores_gemma":[0.9977857,0.00010375968,0.00039732546,0.00057558925,0.0010295482,0.000108063534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010868398,0.00034362398,0.0003743056,0.00010594578,0.00011924849,0.00010753069,0.00027216296,0.000436192,0.000028646267],"category_scores_gemma":[0.00014487207,0.00038800391,0.00010038623,0.00016121095,0.000117014155,0.00008309468,0.0003963686,0.00048490928,0.0000034670772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075663964,0.00015910857,0.00017240921,0.0026920873,0.00016639297,0.0000011160542,0.000012084362,0.052795168,0.93703425,0.0066479407,0.0002169204,0.000026834196],"study_design_scores_gemma":[0.000352606,0.000019844501,0.00012946513,0.00036170313,0.00021609853,1.5027178e-8,0.0000010742851,0.33553666,0.6603926,0.002522239,0.00013583491,0.0003318358],"about_ca_topic_score_codex":0.0000064431542,"about_ca_topic_score_gemma":1.01877596e-7,"teacher_disagreement_score":0.28274152,"about_ca_system_score_codex":0.00027914048,"about_ca_system_score_gemma":0.000852678,"threshold_uncertainty_score":0.9998572},"labels":[],"label_agreement":null},{"id":"W4403134912","doi":"10.1080/14789450.2024.2413441","title":"Formation of the Canadian Artificial Intelligence and Mass Spectrometry for systems biology (CAN-AIMS) consortium","year":2024,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; University of Guelph","funders":"Canadian Institutes of Health Research; Thermo Fisher Scientific","keywords":"Mass spectrometry; Proteomics; Computational biology; Data science; Biology; Computer science; Chemistry; Chromatography; Biochemistry","score_opus":0.02301506329134084,"score_gpt":0.33231478414952326,"score_spread":0.3092997208581824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403134912","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005524664,0.25712326,0.5262876,0.002998854,0.19116013,0.0107022235,0.0098764645,0.000138576,0.0016576353],"genre_scores_gemma":[0.002410514,0.31624708,0.377802,0.00020764812,0.29031488,0.010232327,0.0020080481,0.00024318781,0.000534302],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828273,0.000026812138,0.0009419402,0.00033649182,0.00017872699,0.00023332139],"domain_scores_gemma":[0.99811065,0.00018213195,0.0007406701,0.00057207415,0.0003216357,0.000072822906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039864832,0.00025544912,0.000640464,0.000086919215,0.00010448864,0.000030829244,0.00048552945,0.00056679314,0.000018457436],"category_scores_gemma":[0.00060826354,0.00019442472,0.00019689293,0.00017887668,0.00019220036,0.00003783956,0.000086688,0.00049140083,0.0000014488008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004993763,0.000053701144,0.0000030189512,0.10794526,0.00015828619,9.1720904e-7,0.00021437794,0.000007646964,0.27969068,0.08038684,0.5267428,0.004746493],"study_design_scores_gemma":[0.000034941342,0.00004867027,1.1535413e-8,0.010597602,0.00007984703,0.0000039212277,0.000046647117,0.00043516705,0.3151467,0.021472916,0.65186185,0.00027173883],"about_ca_topic_score_codex":0.0026229613,"about_ca_topic_score_gemma":0.0013380396,"teacher_disagreement_score":0.1484856,"about_ca_system_score_codex":0.00032606104,"about_ca_system_score_gemma":0.00061286933,"threshold_uncertainty_score":0.79284096},"labels":[],"label_agreement":null},{"id":"W4403226564","doi":"10.1016/j.cjca.2024.08.124","title":"PROTEOGENOMIC PREDICTION OF ATRIAL FIBRILLATION IN NON-ISCHEMIC CARDIOMYOPATHY","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Atrial fibrillation; Internal medicine; Ischemic cardiomyopathy; Cardiomyopathy; Heart failure; Ejection fraction","score_opus":0.010071884067757352,"score_gpt":0.24006850724366205,"score_spread":0.2299966231759047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403226564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565033,0.002972457,0.031084778,0.00015295707,0.00031864035,0.00020351444,0.00019501132,0.00001677587,0.00855259],"genre_scores_gemma":[0.9968078,0.00017251058,0.0014866483,0.0000025157717,0.0014604013,0.0000067136084,0.000014274335,0.000014653883,0.000034451125],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926287,0.000015830166,0.00039688242,0.000115957264,0.000053610198,0.00015486142],"domain_scores_gemma":[0.99951917,0.000034193145,0.000119653196,0.00013745033,0.00007705492,0.000112465124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021964817,0.00007949961,0.00026899637,0.00022166083,0.000024181149,0.000010119224,0.000116649855,0.00015013714,0.000017626862],"category_scores_gemma":[0.000044600558,0.00008076188,0.00022101615,0.00013499384,0.00006359948,0.000069169204,0.000008317273,0.00024286746,0.0000021429546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013528064,0.0000011089754,0.10349689,0.0003823194,0.0003932707,0.000176469,0.0004640414,0.09338821,0.7428036,0.0013185793,0.0045776265,0.052862614],"study_design_scores_gemma":[0.001689031,0.0002912918,0.0075841714,0.0008789471,0.00029675176,0.0021214886,0.0002490458,0.0038026322,0.18934193,0.011089066,0.78212744,0.0005282015],"about_ca_topic_score_codex":0.00025502034,"about_ca_topic_score_gemma":0.00007105341,"teacher_disagreement_score":0.7775498,"about_ca_system_score_codex":0.00023837565,"about_ca_system_score_gemma":0.00060767576,"threshold_uncertainty_score":0.3293374},"labels":[],"label_agreement":null},{"id":"W4403247794","doi":"10.1021/acs.jproteome.4c00158","title":"Carrier-Guided Proteome Analysis in a High Protein Background: An Improved Approach to Host Cell Protein Identification","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BioVectra (Canada); University of Prince Edward Island","funders":"National Institutes of Health; National Institute of General Medical Sciences; Mitacs","keywords":"Proteome; Identification (biology); Computational biology; Host (biology); Proteomics; Biology; Bioinformatics; Biochemistry; Genetics; Gene","score_opus":0.057680863444700706,"score_gpt":0.38485680953702717,"score_spread":0.3271759460923265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403247794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9043274,0.00021090404,0.088229455,0.00088960095,0.000021035305,0.0051315543,0.000089036126,0.00012081257,0.0009802261],"genre_scores_gemma":[0.8722511,0.00001913447,0.11832463,0.0000074701925,0.0003346399,0.006090317,0.000038206636,0.00009377271,0.0028407117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949237,0.00030693642,0.0015664272,0.0009145132,0.0014049502,0.0008834562],"domain_scores_gemma":[0.99673325,0.0000695566,0.00043786544,0.0011142858,0.0011235101,0.00052155677],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0051110713,0.00036038333,0.00066678075,0.0022392944,0.00025920782,0.0006910886,0.001330668,0.0003502291,0.00017454512],"category_scores_gemma":[0.00025861975,0.00032273825,0.00031620715,0.004910516,0.00015521457,0.0008438928,0.00026969792,0.0022727167,0.00003357414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001736509,0.00051886373,0.00006375763,0.00080576097,0.000123904,0.000033888133,0.0003856132,0.00018376636,0.9957442,0.001186252,0.00005208821,0.0007282526],"study_design_scores_gemma":[0.00059241033,0.00031341458,0.0002502,0.0004038231,0.00007982959,0.000029610892,0.0006232464,0.0070371996,0.9816194,0.00728516,0.0013110643,0.0004545954],"about_ca_topic_score_codex":0.00047500912,"about_ca_topic_score_gemma":0.000034016568,"teacher_disagreement_score":0.03207626,"about_ca_system_score_codex":0.0010309963,"about_ca_system_score_gemma":0.00070429954,"threshold_uncertainty_score":0.99992245},"labels":[],"label_agreement":null},{"id":"W4403350313","doi":"10.1101/2024.10.08.617287","title":"DigestR an open-source software tool for visualizing LC-MS proteomics data resulting from natural protein catabolism","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Catabolism; Open source software; Proteomics; Computer science; Open source; Software; Natural (archaeology); Computational biology; Chemistry; Data science; Biochemistry; Biology; Enzyme; Operating system","score_opus":0.029566010763629254,"score_gpt":0.2996672273606407,"score_spread":0.2701012165970115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403350313","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8796866,0.001546061,0.08879732,0.00028981484,0.00042451156,0.006449373,0.019753534,0.0030423515,0.000010453473],"genre_scores_gemma":[0.43185487,0.00006968864,0.55921066,0.00009609754,0.0015521237,0.006462553,0.00017169227,0.0005319862,0.00005031612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99453145,0.000058204354,0.0010875242,0.0030410446,0.00041189906,0.0008698821],"domain_scores_gemma":[0.99267584,0.00014063148,0.00089989044,0.0055036726,0.0004879118,0.0002920731],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007626207,0.0009721956,0.0008671644,0.0001380602,0.0005422763,0.0016155943,0.004853871,0.00096906023,0.000031066404],"category_scores_gemma":[0.000839409,0.001083905,0.00014585428,0.0003420755,0.00013877389,0.0006315707,0.00897616,0.0022706715,0.000022556866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009798273,0.00015362084,0.00013906347,0.001046854,0.00013486143,0.000011664096,0.000023226725,0.000046263653,0.99671644,0.001261202,0.00030961997,0.0000591748],"study_design_scores_gemma":[0.00063854735,0.000024094506,0.000119217744,0.0021785095,0.00018942692,3.9790894e-8,0.000008839655,0.0066999826,0.9558581,0.0003833957,0.03225092,0.0016489414],"about_ca_topic_score_codex":0.00063140737,"about_ca_topic_score_gemma":0.000013277136,"teacher_disagreement_score":0.47041336,"about_ca_system_score_codex":0.00043024545,"about_ca_system_score_gemma":0.0009159177,"threshold_uncertainty_score":0.9994208},"labels":[],"label_agreement":null},{"id":"W4403362860","doi":"10.1021/acs.jproteome.3c00845","title":"GraphPI: Efficient Protein Inference with Graph Neural Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inference; Computer science; Graph; Artificial neural network; Artificial intelligence; Computational biology; Machine learning; Theoretical computer science; Biology","score_opus":0.04133530425597834,"score_gpt":0.38020968524861287,"score_spread":0.33887438099263456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403362860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7116457,0.0020132062,0.2813131,0.001710426,0.000038469,0.0010586665,0.00001051195,0.00014815733,0.0020617584],"genre_scores_gemma":[0.97765124,0.000114654686,0.021130856,0.000006308679,0.00027850387,0.00036013508,0.0000018698493,0.0000387911,0.00041762332],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979459,0.00006013824,0.00042202714,0.00025911623,0.0008329628,0.00047984542],"domain_scores_gemma":[0.99858904,0.00015820305,0.00013793608,0.00033319392,0.00058461673,0.00019698523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011828364,0.00015559922,0.0002120516,0.00038582372,0.00019725056,0.00021067102,0.0005126283,0.000119744895,0.00016292058],"category_scores_gemma":[0.00009748223,0.000107149026,0.0001255835,0.0010835164,0.00024786673,0.00015058623,0.0001175631,0.001966192,0.0000070714805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006595384,0.00045533144,0.0006619112,0.0011238493,0.00019759435,0.00069046003,0.00032285776,0.021147786,0.919976,0.02395852,0.0007234649,0.030082704],"study_design_scores_gemma":[0.0013580127,0.001846952,0.00014195518,0.0046885028,0.00006151439,0.0010188087,0.00036800574,0.17965499,0.72808903,0.066060655,0.015755452,0.0009561413],"about_ca_topic_score_codex":0.000012583154,"about_ca_topic_score_gemma":0.000002030103,"teacher_disagreement_score":0.26600555,"about_ca_system_score_codex":0.00012865578,"about_ca_system_score_gemma":0.00022172708,"threshold_uncertainty_score":0.8542235},"labels":[],"label_agreement":null},{"id":"W4403503812","doi":"10.1016/j.xpro.2024.103397","title":"Protocol for generating high-fidelity proteomic profiles using DROPPS","year":2024,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Terry Fox Research Institute; Canadian Cancer Society","keywords":"Protocol (science); Computer science; Computational biology; Fidelity; Biology; Medicine; Telecommunications","score_opus":0.06602641676116533,"score_gpt":0.40917753871486434,"score_spread":0.343151121953699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403503812","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057231146,0.000002083441,0.15635237,0.000091170914,0.000009908094,0.83633924,0.00021214156,0.0007824802,0.00048752443],"genre_scores_gemma":[0.00075272995,7.1748616e-8,0.3657763,0.000021511238,0.00034716903,0.6325922,0.000025771567,0.00006809442,0.00041617503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809885,0.000020776395,0.00056973554,0.000670378,0.00020098616,0.00043930212],"domain_scores_gemma":[0.99897426,0.000048821836,0.0001730077,0.0005644881,0.00014592161,0.00009349718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032034624,0.0003013765,0.00026315043,0.000056261255,0.0003344155,0.00024465486,0.00031233483,0.00018335714,0.0003402924],"category_scores_gemma":[0.000057640547,0.00027036754,0.00014076612,0.0001738911,0.000073924355,0.0002302697,0.00011794681,0.0003266659,0.000014393808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088512425,0.00007528973,0.000044702134,0.0029909478,0.000022112356,0.0000029423418,0.000039874485,0.00013429907,0.9800308,0.010297827,0.00069881364,0.0055738734],"study_design_scores_gemma":[0.0006059087,0.00007164074,0.0000017686571,0.00091666344,0.000010483001,0.000007855105,0.000013586992,0.038802832,0.8531231,0.028593225,0.077498294,0.00035461504],"about_ca_topic_score_codex":0.00003980235,"about_ca_topic_score_gemma":0.0000023522311,"teacher_disagreement_score":0.20942393,"about_ca_system_score_codex":0.00023684293,"about_ca_system_score_gemma":0.00029558904,"threshold_uncertainty_score":0.99997485},"labels":[],"label_agreement":null},{"id":"W4403510885","doi":"10.1093/neuonc/noae144.156","title":"P08.03.A CSF-BASED PROTEOMIC BIOMARKERS OF RESPONSE TO MULTI-AGENT INTRAVENTRICULAR CHEMOTHERAPY IN CNS LYMPHOMA","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Lymphoma; Chemotherapy; Oncology; Pathology; Internal medicine","score_opus":0.015716096674965742,"score_gpt":0.3112791570470995,"score_spread":0.29556306037213376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403510885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732804,0.00009925216,0.019505018,0.005334335,0.00008019824,0.0009979435,0.000058526428,0.00023797728,0.0004063557],"genre_scores_gemma":[0.92426246,0.000071930735,0.0732306,0.0009519563,0.000056056997,0.0012562975,0.000017841912,0.00007197273,0.00008087707],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845433,0.00009636239,0.00046389687,0.0005253268,0.00013084878,0.00032922067],"domain_scores_gemma":[0.99893886,0.00031051168,0.000110685076,0.00046857595,0.0000512233,0.00012015782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031165284,0.0002106248,0.0003118479,0.00024640415,0.000040688497,0.000017977927,0.000317783,0.0002480808,0.00018747864],"category_scores_gemma":[0.00016003802,0.00021296543,0.00011930531,0.00051553635,0.000094227944,0.000039543072,0.00007486519,0.00020733156,0.00004259796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010539893,0.00034283026,0.00021187472,0.00008416301,0.000020785279,0.0001495461,0.00015250372,0.00015252741,0.9746658,0.00011578521,0.00044376528,0.02260638],"study_design_scores_gemma":[0.0013391632,0.00021468099,0.0002496758,0.00006198821,0.000011982677,0.000030721985,0.000032763957,0.0036401297,0.8621792,0.00018758661,0.13187686,0.00017525481],"about_ca_topic_score_codex":0.000039222625,"about_ca_topic_score_gemma":0.000008457185,"teacher_disagreement_score":0.13143308,"about_ca_system_score_codex":0.00057284546,"about_ca_system_score_gemma":0.0003846348,"threshold_uncertainty_score":0.86844784},"labels":[],"label_agreement":null},{"id":"W4403599112","doi":"10.1101/2024.10.17.24315553","title":"Multi-ancestry proteome-phenome-wide Mendelian randomization offers a comprehensive protein-disease atlas and potential therapeutic targets","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; Université de Montréal; McGill University; Montreal Heart Institute; McGill Genome Centre","funders":"Division of Graduate Education; Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Servier; University of Wisconsin-Madison","keywords":"Phenome; Mendelian randomization; Proteome; Computational biology; Atlas (anatomy); Biology; Mendelian inheritance; Disease; Genetics; Bioinformatics; Medicine; Gene; Phenotype; Genetic variants; Pathology; Genotype","score_opus":0.025298923217414886,"score_gpt":0.2876186001081135,"score_spread":0.2623196768906986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403599112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83025056,0.009480623,0.14930874,0.0022328252,0.00024051665,0.0061706146,0.0006149403,0.001210696,0.0004905059],"genre_scores_gemma":[0.9488031,0.0007144042,0.043404117,0.00016168649,0.0002795225,0.00466706,0.00044650718,0.00016767521,0.0013559074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973576,0.000062121006,0.0006169725,0.0012030682,0.00033045252,0.0004297855],"domain_scores_gemma":[0.9981913,0.000049603288,0.00038875395,0.0008770864,0.00019565245,0.0002975902],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001387327,0.00062769145,0.0006033662,0.0001362313,0.00021447799,0.00018449801,0.00045780404,0.00040629075,0.00016274162],"category_scores_gemma":[0.000058312813,0.0005944212,0.000250474,0.00015128264,0.00022271492,0.00007028404,0.00087621395,0.001237418,0.000030890194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012878461,0.00041626694,0.0021572886,0.0075784307,0.00067039346,0.00014329933,0.0004899113,0.0042901076,0.9778977,0.0008688921,0.00018034926,0.004019537],"study_design_scores_gemma":[0.011228967,0.00009555708,0.0017671158,0.0038942692,0.001567705,0.000035539706,0.00038801646,0.092066266,0.61235917,0.25081772,0.021239556,0.0045401105],"about_ca_topic_score_codex":0.000023132709,"about_ca_topic_score_gemma":0.0000027311178,"teacher_disagreement_score":0.36553848,"about_ca_system_score_codex":0.00013651683,"about_ca_system_score_gemma":0.00021313234,"threshold_uncertainty_score":0.9996507},"labels":[],"label_agreement":null},{"id":"W4403601158","doi":"10.1002/ange.202409446","title":"A Proteomics Pipeline for Generating Clinical Grade Biomarker Candidates from Data‐Independent Acquisition Mass Spectrometry (DIA‐MS) Discovery","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Mass spectrometry; Proteomics; Biomarker discovery; Pipeline (software); Chemistry; Biomarker; Chromatography; Computer science; Biochemistry","score_opus":0.04813354872522741,"score_gpt":0.346973415381283,"score_spread":0.2988398666560556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403601158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25836065,0.002305523,0.72939366,0.0009514035,0.00020206593,0.00071913615,0.006354973,0.0005328827,0.0011797422],"genre_scores_gemma":[0.60132587,0.00096180954,0.37822777,0.0002557504,0.0028034945,0.0007898361,0.013289011,0.00013345337,0.002213041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99787015,0.0000116751535,0.0006021285,0.0009488744,0.00020156629,0.00036559696],"domain_scores_gemma":[0.9984118,0.00028528387,0.00015813304,0.0009756719,0.000049182938,0.00011995827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035311244,0.00028567045,0.00032154776,0.0000562557,0.00014650567,0.00029451557,0.00053020305,0.00027300793,0.00021310123],"category_scores_gemma":[0.00009244849,0.0002678909,0.0001810257,0.0001809257,0.00007803958,0.000441508,0.000254425,0.0003729262,0.00001623639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000549989,0.0000754661,0.00039602956,0.00013285887,0.00009859964,0.000010612532,0.000016087966,0.000003814347,0.98921645,0.00028611976,0.008452468,0.0012564914],"study_design_scores_gemma":[0.00043425223,0.000013785969,0.00001686017,0.0001415387,0.00011785296,0.000007959591,0.00003262469,0.009604344,0.966281,0.0073740697,0.015634095,0.00034159888],"about_ca_topic_score_codex":0.00008886466,"about_ca_topic_score_gemma":0.000029678018,"teacher_disagreement_score":0.35116586,"about_ca_system_score_codex":0.0001559052,"about_ca_system_score_gemma":0.0001055407,"threshold_uncertainty_score":0.99997735},"labels":[],"label_agreement":null},{"id":"W4403601159","doi":"10.1002/anie.202409446","title":"A Proteomics Pipeline for Generating Clinical Grade Biomarker Candidates from Data‐Independent Acquisition Mass Spectrometry (DIA‐MS) Discovery","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Inflammatory Bowel and Immunobiology Research Institute; Cedars-Sinai Medical Center; National Institutes of Health; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Biomarker discovery; Mass spectrometry; Proteomics; Biomarker; Pipeline (software); Label-free quantification; Selected reaction monitoring; Tandem mass spectrometry; Computational biology; Proteome; Computer science; Data mining; Bioinformatics; Chemistry; Quantitative proteomics; Chromatography; Biology","score_opus":0.041206283332500794,"score_gpt":0.3536298726550236,"score_spread":0.3124235893225228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403601159","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044469815,0.00035359908,0.9414052,0.0017209467,0.00091799756,0.00037349365,0.00920061,0.00030102354,0.0012573163],"genre_scores_gemma":[0.73136634,0.00068967877,0.19580476,0.00030860378,0.010941084,0.00082355586,0.05835856,0.00008775323,0.0016196779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804366,0.000010850817,0.00060011353,0.0007854551,0.00032890684,0.00023102373],"domain_scores_gemma":[0.9988133,0.00028910805,0.00020066017,0.00048951805,0.0001251556,0.000082290404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032388626,0.00023080477,0.00020793214,0.00009264717,0.00011535464,0.00034303285,0.00051980116,0.00022572158,0.00048035412],"category_scores_gemma":[0.00014658457,0.00022973283,0.00016270574,0.00011832311,0.000066982495,0.00085208134,0.00017844322,0.00032432433,0.000019392623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084403764,0.00010494016,0.00025106585,0.000060432743,0.00014242432,0.000008313699,0.000014708435,0.000013101273,0.97476315,0.0010599864,0.021850882,0.0016465749],"study_design_scores_gemma":[0.00046205652,0.000012819478,0.000041504427,0.00018001819,0.00007265688,0.000011011536,0.00002938854,0.03677701,0.92605555,0.015960498,0.020134898,0.00026259117],"about_ca_topic_score_codex":0.00007397459,"about_ca_topic_score_gemma":0.00002416579,"teacher_disagreement_score":0.74560046,"about_ca_system_score_codex":0.00027886516,"about_ca_system_score_gemma":0.00008529792,"threshold_uncertainty_score":0.9368233},"labels":[],"label_agreement":null},{"id":"W4403831947","doi":"10.1681/asn.2024xaa3xxd4","title":"Retrace-Clustering Creatinine Trajectory and Baseline Features for Predicting ESKD","year":2024,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Creatinine; Baseline (sea); Trajectory; Cluster analysis; Internal medicine; Medicine; Computer science; Artificial intelligence; Physics; Political science","score_opus":0.012686924262831363,"score_gpt":0.2945008351589008,"score_spread":0.28181391089606944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403831947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9028095,0.0015836481,0.087905854,0.007282214,0.00004194873,0.000115868985,0.00005036623,0.00004263958,0.00016795097],"genre_scores_gemma":[0.74794674,0.00093084533,0.24899583,0.0011446887,0.00059721264,0.000017646826,0.0000015315202,0.000027174683,0.00033831908],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993968,0.0000151230815,0.00028171542,0.00010653354,0.00008161758,0.00011823772],"domain_scores_gemma":[0.99898976,0.0003457412,0.00042999673,0.00013177679,0.000068980626,0.000033746626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027072104,0.00008452119,0.00023757108,0.000016235386,0.00007631119,0.000010241861,0.00017205424,0.000053982283,0.000014869567],"category_scores_gemma":[0.000047027832,0.00006018861,0.0002457623,0.000097073214,0.00029344478,0.00004317283,0.000059525417,0.00032804642,4.890285e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011068259,0.00002431439,0.0004771415,0.0001784153,0.00017130774,7.9758854e-7,0.00046787114,0.00020316438,0.9626006,0.00007114307,0.018084457,0.017610095],"study_design_scores_gemma":[0.0027231518,0.0020836776,0.014235236,0.0013993569,0.0012441466,0.0028669182,0.0078686075,0.13020527,0.3522178,0.013303732,0.47092012,0.00093198894],"about_ca_topic_score_codex":0.000014237737,"about_ca_topic_score_gemma":0.0000022888194,"teacher_disagreement_score":0.61038285,"about_ca_system_score_codex":0.000032526204,"about_ca_system_score_gemma":0.000042904212,"threshold_uncertainty_score":0.24544202},"labels":[],"label_agreement":null},{"id":"W4404027850","doi":"10.1002/rcm.9937","title":"Optimization of protein identifications through the use of different chromatographic approaches and bioinformatic pipelines","year":2024,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canada Research Chairs","keywords":"Context (archaeology); Computer science; Identification (biology); Proteome; Workflow; Data acquisition; Data mining; Chromatography; Chemistry; Computational biology; Database; Biology","score_opus":0.06652447564572796,"score_gpt":0.29094808174525505,"score_spread":0.2244236060995271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404027850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12431075,0.009066469,0.8592357,0.0027951398,0.00002003607,0.0012275117,0.00015395349,0.0002651987,0.002925235],"genre_scores_gemma":[0.65937066,0.003740161,0.33632633,0.0000042962215,0.0000067647284,0.00041051343,0.000077143624,0.000015335818,0.00004876781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988946,0.00004614703,0.0006198793,0.00017456044,0.00013682629,0.00012804281],"domain_scores_gemma":[0.9977255,0.00032300883,0.00022731868,0.001649859,0.000054186014,0.000020138712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001477392,0.00014022742,0.00020645696,0.00025582087,0.00012828855,0.00007107918,0.0006553411,0.000083176266,0.00005619758],"category_scores_gemma":[0.00006981965,0.00011002944,0.00008020575,0.0010776045,0.0004275285,0.00029863563,0.00020547854,0.0002887273,8.4184364e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018892302,0.0007290922,0.002122862,0.0019340998,0.00022715123,2.9912766e-7,0.0019400863,0.006672945,0.24435204,0.7330335,0.000104556915,0.008864519],"study_design_scores_gemma":[0.0003683912,0.00005014493,0.00070558407,0.001121624,0.00013175662,0.00001711365,0.0016534869,0.67695016,0.23477113,0.080518745,0.0032315562,0.00048029548],"about_ca_topic_score_codex":0.000034057102,"about_ca_topic_score_gemma":0.000010814207,"teacher_disagreement_score":0.67027724,"about_ca_system_score_codex":0.000041299845,"about_ca_system_score_gemma":0.000026410775,"threshold_uncertainty_score":0.44868702},"labels":[],"label_agreement":null},{"id":"W4404171554","doi":"10.1021/acs.jproteome.4c00776","title":"The 2024 Report on the Human Proteome from the HUPO Human Proteome Project","year":2024,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"NIH Clinical Center; National Center for Research Resources; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Cancer Institute; National Eye Institute; National Institute on Aging; National Institute of Diabetes and Digestive and Kidney Diseases; Biotechnology and Biological Sciences Research Council; Horizon 2020 Framework Programme; Knut och Alice Wallenbergs Stiftelse; European Commission; Staatssekretariat für Bildung, Forschung und Innovation; National Heart, Lung, and Blood Institute; Australian Government; National Institutes of Health; Directorate for Biological Sciences; European Molecular Biology Laboratory; National Human Genome Research Institute; Wellcome Trust; National Science Foundation","keywords":"Human proteome project; Proteome; Human proteins; Computational biology; Data science; Proteomics; Bioinformatics; Chemistry; Computer science; Biology; Biochemistry; Gene","score_opus":0.24692298625868286,"score_gpt":0.5217757164805483,"score_spread":0.27485273022186546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404171554","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004589109,0.96055514,0.00015186681,0.0073514543,0.00023700898,0.018754296,0.00033100168,0.0001773187,0.011982995],"genre_scores_gemma":[0.00012347191,0.9297022,0.0016698461,0.000033926764,0.0052241255,0.022059605,0.00008272322,0.0004029825,0.04070107],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99037826,0.001002307,0.0030116437,0.0010921465,0.0032244446,0.0012911968],"domain_scores_gemma":[0.9907157,0.0018699861,0.0025397912,0.0035320513,0.0011045563,0.00023795523],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012103495,0.0009495492,0.0017151334,0.00043983338,0.0033754907,0.0014392372,0.0055515175,0.00077625096,0.0004789075],"category_scores_gemma":[0.0015724318,0.00039045894,0.0015918614,0.0017578248,0.0010795296,0.00018646845,0.0013683703,0.013675743,0.00022418499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039213517,0.0019595732,0.000023763934,0.04926481,0.0076349047,0.0052818027,0.0015205824,0.0000048874235,0.057822544,0.0613522,0.46187598,0.3528668],"study_design_scores_gemma":[0.00014746179,0.00025471655,9.985415e-7,0.017771224,0.00036175796,0.0006877932,0.00017278537,0.0000027326869,0.0029082913,0.03428068,0.94297063,0.00044090653],"about_ca_topic_score_codex":0.00019876046,"about_ca_topic_score_gemma":0.000024277817,"teacher_disagreement_score":0.48109466,"about_ca_system_score_codex":0.0011047877,"about_ca_system_score_gemma":0.0021221905,"threshold_uncertainty_score":0.99985474},"labels":[],"label_agreement":null},{"id":"W4404176808","doi":"10.1101/2024.11.05.622109","title":"SysQuan: repurposing SILAC mice for the affordable absolute quantitation of the human proteome","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Jewish General Hospital; Research Manitoba","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Repurposing; Proteome; Absolute (philosophy); Computational biology; Chemistry; Proteomics; Biology; Biochemistry","score_opus":0.020177008780589457,"score_gpt":0.268698311942232,"score_spread":0.24852130316164253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404176808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94962126,0.004072739,0.036307886,0.0015208327,0.0006468846,0.0055708187,0.0011781382,0.0009500309,0.00013141042],"genre_scores_gemma":[0.96217024,0.00013244478,0.033107527,0.000050239174,0.00034673684,0.0039459122,8.5776196e-7,0.00015947437,0.000086568136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980005,0.000024546256,0.00063322793,0.00071415334,0.00026723833,0.00036034905],"domain_scores_gemma":[0.9969209,0.00013898186,0.0007159597,0.0017653623,0.00039684944,0.000061970495],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050574506,0.00038623967,0.00036354145,0.00007104005,0.0004728274,0.00017315132,0.0009848417,0.0003972334,0.000019866455],"category_scores_gemma":[0.00013709017,0.00028841416,0.00030432382,0.00033509158,0.00017405649,0.00006468064,0.0007411814,0.0008661422,0.0000067468045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011099312,0.00004567074,0.00006519171,0.0017550795,0.00009633795,6.554987e-7,0.00001257752,0.00027823617,0.97375774,0.023690838,0.0002842504,0.0000023055907],"study_design_scores_gemma":[0.00014659514,0.000013472309,0.0002468879,0.001076866,0.0002252257,1.7600689e-8,0.000007814973,0.0020872697,0.98527265,0.00072886265,0.009819848,0.00037448987],"about_ca_topic_score_codex":0.00008222383,"about_ca_topic_score_gemma":0.000004218734,"teacher_disagreement_score":0.022961976,"about_ca_system_score_codex":0.00023135074,"about_ca_system_score_gemma":0.00028316784,"threshold_uncertainty_score":0.9999568},"labels":[],"label_agreement":null},{"id":"W4404184975","doi":"10.5194/bg-21-4889-2024","title":"Results from a multi-laboratory ocean metaproteomic intercomparison: effects of LC-MS acquisition and data analysis procedures","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Directorate for Geosciences","keywords":"Metaproteomics; Metagenomics; Reproducibility; Computer science; Pairwise comparison; Data mining; Biology; Statistics; Artificial intelligence; Mathematics","score_opus":0.022392514374330794,"score_gpt":0.31568832261161817,"score_spread":0.29329580823728735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404184975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95091254,0.0037351118,0.04138623,0.00021996912,0.00004837872,0.00022099447,0.0031636844,0.00020631174,0.000106771986],"genre_scores_gemma":[0.9229215,0.0002567061,0.07631377,0.000022163453,0.00004880809,0.000027480475,0.00035164942,0.0000074280897,0.000050540068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870956,0.000015458985,0.00028905744,0.0006885561,0.00015930632,0.00013805971],"domain_scores_gemma":[0.99902093,0.00014765646,0.00012892259,0.0006037204,0.000039860057,0.00005892487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022111778,0.0001301235,0.00021551807,0.00013697968,0.00008938569,0.00010463099,0.00053580495,0.0000725334,0.000022087077],"category_scores_gemma":[0.00012637347,0.0001046022,0.000049331746,0.0007908168,0.0002400096,0.00028072298,0.00024749554,0.000095207826,0.0000024818162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042383013,0.00013554268,0.005776555,0.0003560788,0.00026652304,0.000005838945,0.0005194475,0.000010247643,0.98804176,0.0004610722,0.000922341,0.0034622368],"study_design_scores_gemma":[0.0002628826,0.000034625235,0.0021629718,0.00022515499,0.0004740407,0.0000012527486,0.00019147804,0.05632502,0.9361753,0.0015902366,0.0022997695,0.00025727594],"about_ca_topic_score_codex":0.0007054063,"about_ca_topic_score_gemma":0.00009901361,"teacher_disagreement_score":0.05631477,"about_ca_system_score_codex":0.000021475485,"about_ca_system_score_gemma":0.00007730675,"threshold_uncertainty_score":0.4265554},"labels":[],"label_agreement":null},{"id":"W4404235245","doi":"10.1021/acs.analchem.4c04846","title":"Development of an Automated, Ultra-Rapid Bottom-Up Proteomics Workflow Utilizing Alginate-Based Hydrogels","year":2024,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; University of the Fraser Valley; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Genome British Columbia; Canada Foundation for Innovation; University of the Fraser Valley","keywords":"Chemistry; Self-healing hydrogels; Workflow; Nanotechnology; Polymer chemistry; Computer science; Database","score_opus":0.01927177113033492,"score_gpt":0.3075594848925606,"score_spread":0.2882877137622257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404235245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9357165,0.0002445044,0.041193467,0.00022174774,0.00002697063,0.00025707475,0.000081800375,0.0023544559,0.019903442],"genre_scores_gemma":[0.7918398,0.000009788832,0.20712404,0.000029792434,0.000069867485,0.0001675269,0.00017802553,0.000055194458,0.0005259585],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813366,0.00000624832,0.0005870045,0.00058618217,0.00028618326,0.00040074057],"domain_scores_gemma":[0.9989236,0.00007655182,0.00010428533,0.00059005164,0.00007963727,0.0002258627],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001860452,0.00029470187,0.0003099752,0.000040074552,0.00011338973,0.00007424061,0.00040064263,0.0003098,0.000648439],"category_scores_gemma":[0.000047693527,0.00029605307,0.00015476003,0.00033104199,0.00015486803,0.00011013761,0.000050776234,0.00050894584,0.000021318378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023141742,0.00013329988,0.000041410487,0.00081525015,0.00006678149,0.000017271881,0.00006271864,0.00010377022,0.9881778,0.00053338695,0.00012784665,0.009897338],"study_design_scores_gemma":[0.00016614965,0.0000061942756,0.0000020283046,0.0002842821,0.00004592081,0.000011454625,0.000050703304,0.11263698,0.87921,0.00080455333,0.0064806766,0.00030105835],"about_ca_topic_score_codex":0.0000037731124,"about_ca_topic_score_gemma":3.9034927e-7,"teacher_disagreement_score":0.16593057,"about_ca_system_score_codex":0.00017686504,"about_ca_system_score_gemma":0.00032394665,"threshold_uncertainty_score":0.99994916},"labels":[],"label_agreement":null},{"id":"W4404328518","doi":"10.1093/nar/gkae1056","title":"MarkerDB 2.0: a comprehensive molecular biomarker database for 2025","year":2024,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Alberta; Canada Foundation for Innovation; Genome Canada","keywords":"Biomarker; Usability; Resource (disambiguation); Consistency (knowledge bases); Molecular biomarkers; Computer science; Data science; Biomarker discovery; Database; Biology; Medicine; Proteomics; Human–computer interaction","score_opus":0.07912278611766696,"score_gpt":0.4169082417017413,"score_spread":0.33778545558407436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404328518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25364918,0.0085327765,0.61713254,0.008178184,0.00017141683,0.0032522085,0.0026814146,0.0019039505,0.10449831],"genre_scores_gemma":[0.7518489,0.00094385975,0.22354935,0.00024423233,0.00034984387,0.0040202006,0.00081310107,0.0002501944,0.017980367],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829996,0.00003075461,0.0002114726,0.0005628907,0.00038163638,0.0005132741],"domain_scores_gemma":[0.9984463,0.00038783124,0.00001949963,0.00073241105,0.000275855,0.00013814363],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037500777,0.0001521612,0.0001475986,0.00015816561,0.00023121362,0.00014417882,0.00045890157,0.00014186309,0.00118462],"category_scores_gemma":[0.00011139,0.00014762812,0.000116106596,0.0005201299,0.00020445019,0.000115058756,0.00034422494,0.00051746983,0.00019604231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066354776,0.000043796594,0.000020714673,0.00045280735,0.000048224778,0.000035946894,0.00003031763,0.0000018640486,0.90521044,0.02394035,0.04972722,0.020421954],"study_design_scores_gemma":[0.00021700448,0.000025386598,0.0000115984785,0.00017337548,0.00001199462,0.000011520637,0.0000889982,0.011740153,0.2779586,0.018246856,0.6913224,0.0001921162],"about_ca_topic_score_codex":0.00002391457,"about_ca_topic_score_gemma":0.0000010623378,"teacher_disagreement_score":0.6415952,"about_ca_system_score_codex":0.00013036889,"about_ca_system_score_gemma":0.00011106539,"threshold_uncertainty_score":0.99972844},"labels":[],"label_agreement":null},{"id":"W4404363956","doi":"10.1161/circ.150.suppl_1.4139461","title":"Abstract 4139461: Proteomic and Phosphoproteomic Profiling in an Experimental Model of Electrical Storm","year":2024,"lang":"en","type":"article","venue":"Circulation","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Profiling (computer programming); Computational biology; Storm; Proteomics; Bioinformatics; Biochemistry; Biology; Oceanography; Gene","score_opus":0.02311995000752191,"score_gpt":0.3016413897475679,"score_spread":0.27852143974004595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404363956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833192,0.00031373368,0.015553363,0.000013634793,0.0000067162414,0.00037415704,0.000010307431,0.00011656658,0.00029232752],"genre_scores_gemma":[0.97867876,0.000012471448,0.020910237,0.000003807259,0.000028413446,0.00030386017,0.000032909782,0.000022480835,0.000007085111],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929166,0.0000032531968,0.00023082776,0.00026549696,0.00008850417,0.000120242395],"domain_scores_gemma":[0.9997252,0.0000105325835,0.000053081047,0.0001569551,0.000018348846,0.000035874084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077302146,0.000096274125,0.00010670778,0.00006473006,0.00003382325,0.00002572753,0.00006479507,0.000101670004,0.00002588422],"category_scores_gemma":[0.000006473704,0.00010433343,0.000028083014,0.00010073809,0.000029776753,0.00021100655,0.000017858403,0.00017332032,0.0000015018828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016411379,0.000049425984,0.0051050307,0.000077572135,0.0000023982523,6.72376e-7,0.00014240267,0.0026990732,0.9852875,0.0045241406,7.400265e-7,0.0020946502],"study_design_scores_gemma":[0.000098964476,0.0000058696496,0.0011136333,0.000040859693,0.0000027901265,0.0000020640261,0.000017954419,0.31876442,0.67471194,0.005158313,0.0000018555126,0.00008135012],"about_ca_topic_score_codex":0.000021863958,"about_ca_topic_score_gemma":0.0000019336583,"teacher_disagreement_score":0.31606534,"about_ca_system_score_codex":0.00014505576,"about_ca_system_score_gemma":0.000047942107,"threshold_uncertainty_score":0.42545938},"labels":[],"label_agreement":null},{"id":"W4404594547","doi":"10.22541/au.173218889.93373224/v1","title":"Exploration of Machine Learning-Generated Spectral Libraries for Data Independent Acquisition in Complex Ocean Metaproteomic Analyses","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metaproteomics; Computer science; False positive paradox; Metagenomics; Function (biology); Range (aeronautics); Artificial intelligence; Biology; Engineering","score_opus":0.15265449210060966,"score_gpt":0.37844253544902906,"score_spread":0.2257880433484194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404594547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2001649,0.0014677121,0.7856526,0.0015579108,0.000069271744,0.0021982628,0.004983234,0.0009143542,0.002991765],"genre_scores_gemma":[0.7475475,0.00024230297,0.21662709,0.000023007466,0.00012692106,0.00033699666,0.034233887,0.00006176552,0.00080053107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813265,0.000027968224,0.00069040566,0.0007784434,0.00017520919,0.00019534185],"domain_scores_gemma":[0.99850315,0.000049201433,0.000369203,0.00095196214,0.0000833914,0.000043107375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021180567,0.00030338304,0.00047770375,0.00019928097,0.00006259807,0.0001294475,0.00068068464,0.00029225007,0.00044845906],"category_scores_gemma":[0.000037877777,0.00029164882,0.00012503828,0.00019310828,0.00005906421,0.00026403944,0.0014909736,0.00073105976,0.000003484336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021049909,0.0002355322,0.00037470026,0.0017106817,0.00031829948,0.000003850693,0.00020323718,0.027695682,0.94626015,0.019894492,0.0018857447,0.0012071317],"study_design_scores_gemma":[0.00020590572,0.0000190818,0.000008665282,0.000078461395,0.00010807522,0.0000011687957,0.00006364562,0.24954554,0.6111647,0.13784996,0.000704468,0.0002503472],"about_ca_topic_score_codex":0.0004058796,"about_ca_topic_score_gemma":0.00011821689,"teacher_disagreement_score":0.5690255,"about_ca_system_score_codex":0.00011153088,"about_ca_system_score_gemma":0.00015021722,"threshold_uncertainty_score":0.99995357},"labels":[],"label_agreement":null},{"id":"W4405005609","doi":"10.1021/acs.jproteome.4c00713","title":"Research Progress in Isotope Labeling/Tags-Based Protein Quantification and Metrology Technologies","year":2024,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Quantitative proteomics; Analyte; Computer science; Metrology; Mass spectrometry; Sample preparation; Biochemical engineering; Data science; Data mining; Nanotechnology; Proteomics; Process engineering; Chemistry; Chromatography; Materials science; Engineering; Physics","score_opus":0.20882124426330084,"score_gpt":0.5246590917890963,"score_spread":0.31583784752579547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405005609","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00047984507,0.99383247,0.00039167787,0.0017362871,0.00002018025,0.0031919857,0.000036954243,0.00012089424,0.00018972855],"genre_scores_gemma":[0.0009718016,0.957415,0.034636844,0.0000012496045,0.00016056107,0.006194097,0.000016468235,0.00011599215,0.0004880184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99484754,0.00058851304,0.0015636182,0.0007512843,0.0013320923,0.0009169703],"domain_scores_gemma":[0.9964432,0.0005910425,0.0006446682,0.00089472276,0.0012947483,0.00013160944],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01029937,0.00038779926,0.001414403,0.003547206,0.0002487214,0.00027953874,0.0015049923,0.00110263,0.000041534335],"category_scores_gemma":[0.0011180061,0.00028720152,0.0002606721,0.0030564049,0.001052852,0.00015320341,0.0006417171,0.008528726,0.00004455471],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009582687,0.00032930166,0.000022812257,0.048287664,0.000114508046,0.00021625715,0.00003503664,9.331763e-7,0.005077201,0.0054211514,0.00036534143,0.940034],"study_design_scores_gemma":[0.00035517762,0.00044956952,5.864949e-7,0.035821892,0.0001008002,0.00016831046,0.0002297814,0.00012381101,0.013920004,0.022945412,0.9254773,0.00040734434],"about_ca_topic_score_codex":0.000015659345,"about_ca_topic_score_gemma":0.0000066436473,"teacher_disagreement_score":0.93962663,"about_ca_system_score_codex":0.00076403754,"about_ca_system_score_gemma":0.0014532212,"threshold_uncertainty_score":0.99995804},"labels":[],"label_agreement":null},{"id":"W4405041947","doi":"10.1182/blood-2024-201725","title":"Blood-Based Proteomic Profiling Identifies Osmr As a Novel Biomarker","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Genentech; Servier; Astellas Pharma; Daiichi-Sankyo; Ipsen; Syndax Pharmaceuticals; Incyte; Bristol-Myers Squibb; AstraZeneca; Foghorn Therapeutics; Astex Pharmaceuticals; Celgene; Ipsen Biopharmaceuticals; Regeneron Pharmaceuticals; Gilead Sciences; Chugai Pharmaceutical; Menarini Group; Agios Pharmaceuticals; GlaxoSmithKline; Amgen","keywords":"Biomarker; Profiling (computer programming); Computational biology; Biology; Medicine; Computer science; Genetics","score_opus":0.0173241895008815,"score_gpt":0.2868026383596222,"score_spread":0.2694784488587407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405041947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97050136,0.0007445122,0.017506333,0.00031238334,0.000042891843,0.0005497936,0.000116167605,0.0011856719,0.009040885],"genre_scores_gemma":[0.9107636,0.00003109441,0.08496072,0.000064146225,0.0001595433,0.0015177575,0.00008521654,0.000077592864,0.0023403112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988774,0.0000045459033,0.00025664747,0.00045016062,0.00015521536,0.00025601135],"domain_scores_gemma":[0.9993397,0.000044860986,0.000060117356,0.0004419648,0.00004499613,0.000068344685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010411538,0.0001880579,0.00013974479,0.00007093161,0.000118401935,0.00014415693,0.00024172285,0.00013494388,0.00022099804],"category_scores_gemma":[0.00004046123,0.00018242387,0.00011844919,0.00021284689,0.000063272266,0.0000982183,0.00007116951,0.00023538654,0.00010237955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000735943,0.0002883503,0.00023296523,0.00032925382,0.0000814188,0.000018176046,0.000019231577,0.000005725894,0.9946216,0.003911302,0.000054851185,0.00042977466],"study_design_scores_gemma":[0.0005000271,0.000013423338,0.000011479824,0.0002121261,0.00015933109,0.000031884105,0.000013453459,0.00087078434,0.9896183,0.005392022,0.0029441265,0.0002330466],"about_ca_topic_score_codex":0.000026523958,"about_ca_topic_score_gemma":0.0000015894796,"teacher_disagreement_score":0.06745439,"about_ca_system_score_codex":0.000021129037,"about_ca_system_score_gemma":0.00011643415,"threshold_uncertainty_score":0.7439029},"labels":[],"label_agreement":null},{"id":"W4405130370","doi":"10.1021/acs.jproteome.4c00689","title":"ProPickML: Advancing Clinical Diagnostics with Automated Peak Picking in Label-Free Targeted Proteomics","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Proteomics; Computational biology; Chemistry; Computer science; Nanotechnology; Biology; Materials science; Biochemistry","score_opus":0.0657273592473595,"score_gpt":0.44379962823405833,"score_spread":0.3780722689866988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405130370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9626598,0.0032589403,0.025895195,0.0036326235,0.000114614246,0.002225419,0.00004067242,0.000584094,0.0015886804],"genre_scores_gemma":[0.5226757,0.0030314901,0.47193158,0.000030074561,0.0008709698,0.00073336094,0.000010145382,0.0001537467,0.0005629654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99661946,0.00016040217,0.0011572483,0.0004071442,0.0009547996,0.0007009594],"domain_scores_gemma":[0.9973623,0.0007480878,0.00029945627,0.0005883871,0.00075733097,0.00024440093],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036209717,0.00021798628,0.0004456406,0.00048396882,0.00015816432,0.00019008556,0.0008662337,0.0002616208,0.00008863151],"category_scores_gemma":[0.002392636,0.00016746702,0.00010858637,0.0010754364,0.00024565187,0.0003774653,0.00024867727,0.0032470792,0.000013836396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014046943,0.0020591896,0.045472905,0.0045116646,0.00043489574,0.004134087,0.0012262244,0.00067629036,0.8947403,0.0063359262,0.013831001,0.02517283],"study_design_scores_gemma":[0.00926635,0.0043309876,0.0047258483,0.019639807,0.00015000168,0.0018288805,0.001516636,0.061067462,0.7746595,0.059211552,0.06158109,0.002021863],"about_ca_topic_score_codex":0.000030357192,"about_ca_topic_score_gemma":0.000030690248,"teacher_disagreement_score":0.44603637,"about_ca_system_score_codex":0.00048795345,"about_ca_system_score_gemma":0.0010048223,"threshold_uncertainty_score":0.99905246},"labels":[],"label_agreement":null},{"id":"W4405215118","doi":"10.3389/fcell.2024.1504098","title":"Protein “purity,” proteoforms, and the albuminome: critical observations on proteome and systems complexity","year":2024,"lang":"en","type":"article","venue":"Frontiers in Cell and Developmental Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Brock University; University of Technology Sydney","keywords":"Proteome; Computational biology; Chemistry; Cell biology; Biology; Computer science; Bioinformatics","score_opus":0.028527830622497426,"score_gpt":0.2690408076898896,"score_spread":0.24051297706739216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405215118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646319,0.005649328,0.017473288,0.0030466483,0.00014870791,0.002501346,0.00015481007,0.00018095107,0.0062129823],"genre_scores_gemma":[0.90262437,0.0003407286,0.09414878,0.000088131914,0.000040521736,0.0019773492,0.00005423651,0.000014805005,0.00071110047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99914575,0.000025789408,0.00023009274,0.000341688,0.00004932485,0.00020733319],"domain_scores_gemma":[0.9997211,0.00008390062,0.000028570576,0.00009644995,0.000014621065,0.000055330616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018795446,0.00014654266,0.00019738151,0.000051677678,0.00019737371,0.00006958197,0.00009026176,0.00013269606,0.000009417816],"category_scores_gemma":[0.00003617035,0.00010050903,0.000015618,0.00008757692,0.00072842167,0.000064555425,0.00013626523,0.00027017496,0.0000019086303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005910323,0.0002826176,0.03744421,0.0036556032,0.00010473594,0.000028266744,0.0020965675,0.0000021002604,0.22868757,0.7046507,0.004007276,0.018449351],"study_design_scores_gemma":[0.003605066,0.00025558783,0.004072751,0.0010564362,0.00004779468,0.00021994337,0.0036006947,0.010257171,0.15807012,0.70654976,0.110796176,0.0014685206],"about_ca_topic_score_codex":0.00004290213,"about_ca_topic_score_gemma":0.000003837423,"teacher_disagreement_score":0.1067889,"about_ca_system_score_codex":0.00005577059,"about_ca_system_score_gemma":0.000035049357,"threshold_uncertainty_score":0.40986395},"labels":[],"label_agreement":null},{"id":"W4405219598","doi":"10.1021/acs.jproteome.4c00055","title":"Distinct Proteomic Brain States Underlying Long-Term Memory Formation in Aversive Operant Conditioning","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; Canada Foundation for Innovation","keywords":"Operant conditioning; Neuroscience; Term (time); Conditioning; Long-term memory; Memory formation; Short-term memory; Psychology; Working memory; Reinforcement; Hippocampus; Physics; Cognition; Mathematics","score_opus":0.07508787897862744,"score_gpt":0.4179312672429416,"score_spread":0.34284338826431415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405219598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434652,0.00041551376,0.05231658,0.002075961,0.000026809415,0.0008317564,0.000026101261,0.000048865186,0.00079326733],"genre_scores_gemma":[0.9909928,0.00018622527,0.0076365205,0.000013185921,0.00014586857,0.00033276324,0.000030226216,0.00003426007,0.00062814576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980927,0.000095854586,0.0006108556,0.00021517226,0.0005848707,0.00040051184],"domain_scores_gemma":[0.99887204,0.0003008713,0.00017480618,0.00020017866,0.0003363482,0.000115764204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001620464,0.0001370801,0.00022033193,0.0005001112,0.0002233526,0.00024649716,0.00035705938,0.00011066959,0.0003505176],"category_scores_gemma":[0.0002245518,0.00011959273,0.00010045506,0.00047250703,0.0001277963,0.00075480895,0.000116295996,0.0014114234,0.000029787594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106077845,0.00007944334,0.0004933595,0.001084461,0.000036223293,0.0003692457,0.0010065143,0.00020966314,0.98910105,0.00063292054,0.00039389756,0.006487146],"study_design_scores_gemma":[0.0009949967,0.00023661286,0.0010631606,0.003638993,0.000014605951,0.00069695764,0.0011198499,0.0064246063,0.95440096,0.03056278,0.0005277424,0.00031870767],"about_ca_topic_score_codex":0.000024865814,"about_ca_topic_score_gemma":0.000012199214,"teacher_disagreement_score":0.04752766,"about_ca_system_score_codex":0.00073013315,"about_ca_system_score_gemma":0.00022966093,"threshold_uncertainty_score":0.6132011},"labels":[],"label_agreement":null},{"id":"W4405268499","doi":"10.1038/s41586-024-08280-5","title":"π-HuB: the proteomic navigator of the human body","year":2024,"lang":"en","type":"review","venue":"Nature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Waterloo; University of British Columbia; University of Ottawa","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Context (archaeology); Data science; Human proteome project; Computer science; Human body; Government (linguistics); Systems biology; Human health; Multidisciplinary approach; Computational biology; Proteomics; Biology; Artificial intelligence; Political science; Medicine","score_opus":0.015813535949779085,"score_gpt":0.3663416626618283,"score_spread":0.35052812671204925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405268499","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000035803747,0.9949908,0.000015311989,0.00023991385,0.000072121686,0.0010406534,0.00032604355,0.00011684733,0.0031624779],"genre_scores_gemma":[0.0001909533,0.99272126,0.0006376196,0.000062658226,0.0003846123,0.0012636449,0.000082358434,0.00008557903,0.0045712953],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989617,0.00001991368,0.00035103218,0.0003205427,0.00019212552,0.0001546948],"domain_scores_gemma":[0.9983839,0.000034668075,0.00033941193,0.0011729939,0.000042815343,0.000026256328],"candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00009971176,0.0002907053,0.00050808873,0.000019341493,0.00016042514,0.00002984328,0.0012113758,0.0019684366,0.00008238208],"category_scores_gemma":[0.000028479144,0.00013124575,0.0005666475,0.00026492213,0.00011195685,0.000016201075,0.00030587183,0.0068106866,0.000021552516],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040345753,0.00017005678,0.0000055191044,0.16324767,0.0005849444,0.000009626959,0.00013095548,7.8054734e-7,0.01244983,0.13629097,0.07368923,0.6134164],"study_design_scores_gemma":[0.000019419964,0.000002152546,9.81707e-8,0.00823964,0.00042252554,0.000017123608,0.0000023666069,6.879747e-7,0.004994386,0.0066706175,0.9794842,0.0001467926],"about_ca_topic_score_codex":0.0000036923707,"about_ca_topic_score_gemma":7.383022e-7,"teacher_disagreement_score":0.905795,"about_ca_system_score_codex":0.000088832414,"about_ca_system_score_gemma":0.00013418969,"threshold_uncertainty_score":0.99932724},"labels":[],"label_agreement":null},{"id":"W4405607173","doi":"10.1093/bib/bbae657","title":"Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison","year":2024,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research","funders":"Medical Research Council; Universiteit Hasselt; European Commission; Scottish Government","keywords":"Computer science; Bridging (networking); Proteomics; Normalization (sociology); Context (archaeology); Quantitative proteomics; Sample size determination; Genomics; Computational biology; Data mining; Bioinformatics; Data science; Biology; Statistics; Genome; Mathematics","score_opus":0.019076146955418774,"score_gpt":0.29855744351347446,"score_spread":0.2794812965580557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405607173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31757224,0.000034229444,0.6742599,0.00031533712,0.00022630204,0.0042763436,0.001401269,0.00091713615,0.0009972587],"genre_scores_gemma":[0.6887135,0.000013978524,0.30692032,0.00014564507,0.000051854666,0.002612672,0.0013774628,0.000057462872,0.000107101725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838436,0.000009363804,0.0007756961,0.0003078649,0.00020485725,0.00031783184],"domain_scores_gemma":[0.9987774,0.00038680006,0.00020197185,0.00051335787,0.00005132871,0.00006913421],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003591415,0.0002506223,0.0003050812,0.00013047451,0.0001734441,0.00017498578,0.00030254276,0.00016245477,0.000026937452],"category_scores_gemma":[0.00025685364,0.00025852537,0.00008428419,0.00024269619,0.000059783622,0.00024009295,0.00008749356,0.0003938787,0.000024706676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031068984,0.01562104,0.120959885,0.02236184,0.0013551633,0.00008496105,0.018579239,0.17370202,0.081559554,0.009073809,0.20443614,0.34915945],"study_design_scores_gemma":[0.0007198121,0.000088895424,0.000053745018,0.00025145145,0.000054479704,0.000009398615,0.0004023056,0.89681333,0.06873264,0.00020152588,0.032340877,0.00033151553],"about_ca_topic_score_codex":0.000109985944,"about_ca_topic_score_gemma":0.00008486859,"teacher_disagreement_score":0.72311133,"about_ca_system_score_codex":0.0001953555,"about_ca_system_score_gemma":0.00010056934,"threshold_uncertainty_score":0.9999867},"labels":[],"label_agreement":null},{"id":"W4405711459","doi":"10.1101/2024.12.19.629475","title":"Scoring information integration with statistical quality control enhanced cross-run analysis of data-independent acquisition proteomics data","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"False positive paradox; Computer science; Benchmark (surveying); Data mining; False discovery rate; Identifier; Identification (biology); Quantitative proteomics; Data quality; Proteomics; Machine learning; Chemistry; Engineering","score_opus":0.027379882347168094,"score_gpt":0.3187752830986281,"score_spread":0.29139540075146003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405711459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27915546,0.000067233625,0.69661814,0.000041575422,0.000058718073,0.00074475876,0.022967963,0.00032451653,0.000021642889],"genre_scores_gemma":[0.837691,0.000069668284,0.16109993,0.000030681585,0.00011941333,0.00048789268,0.00044482067,0.000054890428,0.0000017066286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996532,0.000056516637,0.0012502082,0.0012159209,0.0006032809,0.00034203276],"domain_scores_gemma":[0.9932785,0.00012993936,0.0011803815,0.0045039374,0.0007596664,0.00014757512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010795032,0.00047954623,0.00078426034,0.0003247125,0.00013527482,0.00044478787,0.0015536409,0.00048902974,0.00008634671],"category_scores_gemma":[0.00025778278,0.00046877528,0.000091706635,0.0007017695,0.00017020198,0.0009446636,0.0017026567,0.001034872,0.000014048012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024423486,0.00013906536,0.0013820773,0.0014423324,0.0013242664,0.0000039544384,0.0000180745,0.0017821385,0.9851705,0.00840822,0.000027944212,0.00005722912],"study_design_scores_gemma":[0.00065627636,0.000030239415,0.00784924,0.0006873683,0.0021897387,1.848719e-8,0.000011749282,0.08005224,0.90739,0.00011809486,0.00017980105,0.0008352095],"about_ca_topic_score_codex":0.0001982965,"about_ca_topic_score_gemma":0.000020638881,"teacher_disagreement_score":0.5585355,"about_ca_system_score_codex":0.000360806,"about_ca_system_score_gemma":0.0005509999,"threshold_uncertainty_score":0.9997764},"labels":[],"label_agreement":null},{"id":"W4405762935","doi":"10.1101/2024.12.18.629045","title":"Zero-shot retention time prediction for unseen post-translational modifications with molecular structure encodings","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Universiteit Gent; Fonds Wetenschappelijk Onderzoek; Vlaamse regering; Universiteit Antwerpen; Vlaams Supercomputer Centrum","keywords":"Encoder; Computer science; Retention time; Transformer; Peptide; Posttranslational modification; Workflow; Artificial intelligence; Computational biology; Machine learning; Chemistry; Chromatography; Biology; Biochemistry; Engineering","score_opus":0.010869743754388247,"score_gpt":0.22748725703360909,"score_spread":0.21661751327922085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405762935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6389073,0.000566224,0.33840686,0.0011336554,0.00017494887,0.0022584167,0.016584985,0.0018541525,0.00011345007],"genre_scores_gemma":[0.8850899,0.000043264645,0.1126764,0.000054219567,0.00024056711,0.0016055091,0.00006434268,0.00018103991,0.00004480164],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99774176,0.00001564366,0.00048784108,0.0010796025,0.00032594125,0.000349186],"domain_scores_gemma":[0.99775743,0.00004017344,0.00033903177,0.0010020966,0.00071151607,0.00014976325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014411719,0.00048367048,0.0003323507,0.00017199812,0.00022792844,0.00019272885,0.00041072088,0.00064880436,0.00009737092],"category_scores_gemma":[0.000038822167,0.0005060406,0.00018487366,0.00028893337,0.00010197756,0.000116372525,0.00015024524,0.0008278267,0.00001734462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004423428,0.00004490766,0.00007401239,0.000597543,0.00014326008,0.0000030545827,0.000008122747,0.0008205734,0.9873808,0.010712184,0.00016822317,0.0000030902404],"study_design_scores_gemma":[0.0003158841,0.000036770867,0.00030956074,0.0005190925,0.00035900043,8.8576606e-8,0.00000154242,0.0066323215,0.98634267,0.001600427,0.003238487,0.000644139],"about_ca_topic_score_codex":0.00001147595,"about_ca_topic_score_gemma":6.5883745e-7,"teacher_disagreement_score":0.24618255,"about_ca_system_score_codex":0.00022771605,"about_ca_system_score_gemma":0.00039833487,"threshold_uncertainty_score":0.9997391},"labels":[],"label_agreement":null},{"id":"W4405797009","doi":"10.1158/2767-9764.crc-24-0287","title":"Clinical Proteomics Reveals Vulnerabilities in Noninvasive Breast Ductal Carcinoma and Drives Personalized Treatment Strategies","year":2024,"lang":"en","type":"article","venue":"Cancer Research Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba; IGNIS Innovation (Canada); Jewish General Hospital; Research Institute in Oncology and Hematology; McGill University; CancerCare Manitoba","funders":"National Cancer Institute; Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Jewish General Hospital; Fondation du cancer du sein du Québec; Genome Canada; Faculty of Medicine, McGill University; McGill University","keywords":"Druggability; Proteomics; Breast cancer; Ductal carcinoma; PI3K/AKT/mTOR pathway; Biology; Quantitative proteomics; Cancer; Bioinformatics; Cancer research; Medicine; Computational biology; Oncology; Pathology; Internal medicine; Gene; Signal transduction; Genetics","score_opus":0.12778570349092808,"score_gpt":0.4749458926351294,"score_spread":0.3471601891442013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405797009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97000563,0.014473275,0.00047949606,0.0069380896,0.000018705763,0.0009294141,0.00064170535,0.00016690191,0.006346792],"genre_scores_gemma":[0.9533595,0.022543373,0.016750026,0.000012283516,0.00010643706,0.005541406,0.000092316724,0.000034161996,0.0015605028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984229,0.00022497385,0.00039840656,0.00042989932,0.00018505692,0.00033876929],"domain_scores_gemma":[0.9974882,0.00091140176,0.000047094967,0.0012375423,0.00019349808,0.0001222668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060430623,0.00016024536,0.00024330415,0.00013171938,0.00038665402,0.00021875271,0.00061201764,0.000125036,0.00018318238],"category_scores_gemma":[0.00007042358,0.00014669338,0.00008386105,0.00031789517,0.0013868199,0.00023450727,0.00039010748,0.0008356748,0.000007704354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019524792,0.00088771293,0.07975078,0.0008997502,0.00025038185,0.000048011407,0.01214653,0.00004397197,0.19019148,0.6740063,0.0007931407,0.04078675],"study_design_scores_gemma":[0.005879496,0.0009380072,0.023367543,0.0049112146,0.0002325436,0.0006617399,0.07385136,0.019758368,0.0717783,0.6048153,0.19093767,0.0028684426],"about_ca_topic_score_codex":0.00127296,"about_ca_topic_score_gemma":0.0010033648,"teacher_disagreement_score":0.19014452,"about_ca_system_score_codex":0.0005436732,"about_ca_system_score_gemma":0.00074422604,"threshold_uncertainty_score":0.59819824},"labels":[],"label_agreement":null},{"id":"W4405860008","doi":"10.5376/cmb.2024.14.0022","title":"Protein-Protein Interaction Networks in Rice under Drought Stress: Insights from Proteomics and Bioinformatics Analysis","year":2024,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proteomics; Drought stress; Computational biology; Bioinformatics; Protein Interaction Networks; Biology; Computer science; Protein–protein interaction; Genetics; Botany; Gene","score_opus":0.007986623571956113,"score_gpt":0.2825331537579408,"score_spread":0.2745465301859847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405860008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35481882,0.00043737795,0.6440599,0.0001458524,0.0000115398125,0.00022742362,0.000044323253,0.00007619103,0.00017854672],"genre_scores_gemma":[0.78434247,0.000012035298,0.21439193,0.00006472624,0.000035637695,0.0002623247,0.00085924845,0.000014069609,0.000017555885],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990778,0.000028581366,0.0003414763,0.00033592302,0.00007132701,0.00014491793],"domain_scores_gemma":[0.9995521,0.00007912741,0.000100705845,0.00017058826,0.00005173413,0.00004578813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003831133,0.00016082612,0.00019160913,0.00018953723,0.000056082874,0.000065573215,0.00012181416,0.00018341627,0.000027066671],"category_scores_gemma":[0.000015588961,0.00015675231,0.000070229136,0.00046328356,0.00007512349,0.00010034751,0.00009683197,0.00029942635,0.000005656552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048404723,0.00010888758,0.00032584096,0.00016018895,0.0005778285,0.000023100973,0.00020635437,0.2636009,0.43861532,0.29168904,0.0000076094407,0.004636533],"study_design_scores_gemma":[0.00013636841,0.000015837075,0.000091550224,0.00009192853,0.00004966194,0.0000028759532,0.000046834233,0.6231946,0.022918316,0.35316187,0.000111556714,0.00017860967],"about_ca_topic_score_codex":0.0000690226,"about_ca_topic_score_gemma":0.000017251643,"teacher_disagreement_score":0.429668,"about_ca_system_score_codex":0.000086847,"about_ca_system_score_gemma":0.00003847345,"threshold_uncertainty_score":0.6392174},"labels":[],"label_agreement":null},{"id":"W4405989970","doi":"10.1021/acsomega.4c05624","title":"Selected Ion Extraction of Peptides with Heavy Isotopes and Hydrogen Loss Reduces the Type II Error in Plasma Proteomics","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Chemistry; Electrospray ionization; Peptide; Tandem mass spectrometry; Chromatography; Protein mass spectrometry; Mass spectrum; Mass spectrometry; Stable isotope ratio; Bottom-up proteomics; Analytical Chemistry (journal); Biochemistry","score_opus":0.009895925398040873,"score_gpt":0.27317809068803905,"score_spread":0.2632821652899982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405989970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975334,0.000097395394,0.000241343,0.0006390743,0.00000497367,0.00031967062,0.0000071694667,0.00004903881,0.0011079806],"genre_scores_gemma":[0.9908229,0.00013842674,0.008114804,0.000018313229,0.00001585623,0.00019132753,0.00001114152,0.000010161245,0.00067704637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995048,0.00000772854,0.00015725038,0.00016600882,0.000058222235,0.00010597404],"domain_scores_gemma":[0.999587,0.00004210015,0.00009499804,0.00018776287,0.000073269795,0.000014858253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060481012,0.0000886311,0.000109277695,0.000039047274,0.00011130412,0.0000116825,0.00011657605,0.00007421016,0.0000035167436],"category_scores_gemma":[0.000034382287,0.00006514518,0.000010945947,0.00033199094,0.00008314528,0.00007824495,0.000050479775,0.00016779029,4.622363e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016727949,0.000062621075,0.002446576,0.000047937705,0.000016640732,6.496612e-7,0.00014453559,0.00010956311,0.9947551,0.00090411305,0.00007086377,0.0012741358],"study_design_scores_gemma":[0.00019267602,0.00003908021,0.00044008298,0.000085505344,0.000011380143,0.0000089415125,0.000109005225,0.00027358215,0.9954711,0.0017880937,0.0015063361,0.00007417164],"about_ca_topic_score_codex":0.000052782325,"about_ca_topic_score_gemma":0.00003943514,"teacher_disagreement_score":0.007873461,"about_ca_system_score_codex":0.00003399989,"about_ca_system_score_gemma":0.00005560208,"threshold_uncertainty_score":0.26565433},"labels":[],"label_agreement":null},{"id":"W4406142138","doi":"10.1021/acs.jproteome.4c00160","title":"MAGPIE: A Machine Learning Approach to Decipher Protein–Protein Interactions in Human Plasma","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Human plasma; Immunoprecipitation; Computational biology; Computer science; Antibody; Tandem mass spectrometry; DECIPHER; Protein–protein interaction; Mass spectrometry; Chemistry; Bioinformatics; Biology; Cell biology; Chromatography; Immunology","score_opus":0.059853947581940445,"score_gpt":0.4171936658524401,"score_spread":0.35733971827049965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406142138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87753046,0.00012940542,0.071275085,0.0016954897,0.0000151056865,0.001927623,0.000008432468,0.000063097774,0.047355283],"genre_scores_gemma":[0.88296545,0.000012469333,0.094030924,0.000014505396,0.00012540104,0.001625079,0.0000049126384,0.00003732859,0.021183915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99764884,0.00015027741,0.0007562225,0.00033073933,0.00060026196,0.000513635],"domain_scores_gemma":[0.99856746,0.00008847937,0.000237607,0.00039004747,0.0005358688,0.00018051607],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017446099,0.00018154847,0.0003359776,0.0009055705,0.00035056117,0.0001223053,0.0007225103,0.00011976781,0.00026026537],"category_scores_gemma":[0.0006015706,0.00016653923,0.00012352558,0.0012205725,0.00009618897,0.00021669203,0.0003360672,0.003002062,0.000017471762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020268168,0.00043291636,0.0006342611,0.00021125919,0.000031207444,0.000015310794,0.00014043467,0.00039235575,0.987082,0.0068065077,0.00020862625,0.0038424477],"study_design_scores_gemma":[0.0012575653,0.00020513659,0.00012958128,0.0014472868,0.000009196436,0.000056865432,0.0003536874,0.001720273,0.90829426,0.031314254,0.05491757,0.00029433632],"about_ca_topic_score_codex":0.00013117456,"about_ca_topic_score_gemma":0.000029504947,"teacher_disagreement_score":0.078787744,"about_ca_system_score_codex":0.0005568334,"about_ca_system_score_gemma":0.00022981974,"threshold_uncertainty_score":0.99929804},"labels":[],"label_agreement":null},{"id":"W4406222499","doi":"10.1002/alz.095217","title":"Plasma proteome profile of Lewy body pathology‐positive individuals","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Lewy body; Pathology; Proteome; Medicine; Biology; Disease; Bioinformatics; Parkinson's disease","score_opus":0.015430820171036586,"score_gpt":0.284155766324224,"score_spread":0.2687249461531874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406222499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.731978,0.10570765,0.04585381,0.0020471402,0.00040842668,0.004557336,0.0030934825,0.0025727488,0.10378141],"genre_scores_gemma":[0.9424947,0.00006590481,0.05610503,0.00003403959,0.000073916686,0.0009074697,0.00017609374,0.00004065128,0.00010217842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887615,0.000013753793,0.00033110174,0.00037773367,0.00015450019,0.00024678474],"domain_scores_gemma":[0.99938065,0.000044144377,0.00011322023,0.00035239893,0.000055773307,0.000053811626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000118749136,0.00017435505,0.00018287396,0.000061985884,0.000080877995,0.00003397485,0.0002471654,0.00013698202,0.00094417616],"category_scores_gemma":[0.000008581908,0.00016990856,0.00009345691,0.00015958266,0.00010913759,0.00012919171,0.00014802876,0.00022969808,0.000103593484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015903135,0.00016112192,0.0008345047,0.00007196846,0.004436664,0.000027811926,0.00032841432,0.000004905889,0.93933094,0.020040425,0.0028168524,0.03193049],"study_design_scores_gemma":[0.00012507988,0.00003439176,0.00011516995,0.00006643601,0.0018508902,0.000018090952,0.000028270906,0.00017897172,0.9787313,0.0045393673,0.014125585,0.00018645613],"about_ca_topic_score_codex":0.000012187292,"about_ca_topic_score_gemma":9.1221216e-7,"teacher_disagreement_score":0.21051672,"about_ca_system_score_codex":0.000006507599,"about_ca_system_score_gemma":0.000050614075,"threshold_uncertainty_score":0.9999691},"labels":[],"label_agreement":null},{"id":"W4406229856","doi":"10.26434/chemrxiv-2025-rh2q9","title":"The Microbiologist’s Guide to Metaproteomics","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada; University of Ottawa","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Région Occitanie Pyrénées-Méditerranée; Biological and Environmental Research; Vlaamse regering; Universiteit Gent; CHIST-ERA; Agence Nationale de la Recherche; Fonds Wetenschappelijk Onderzoek; Minnesota Ovarian Cancer Alliance; U.S. Department of Energy","keywords":"Metaproteomics; Microbiome; Workflow; Metagenomics; Proteomics; Computational biology; Data science; Computer science; Ecology; Biology; Bioinformatics","score_opus":0.019009612719977725,"score_gpt":0.3142660509753069,"score_spread":0.2952564382553292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406229856","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072391175,0.0035353957,0.5448401,0.023445243,0.0008607149,0.0041440288,0.0005782382,0.0025595531,0.34764558],"genre_scores_gemma":[0.026037397,0.0026185708,0.6585115,0.0018607292,0.00084298477,0.009896332,0.00051134813,0.00012603568,0.2995951],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852383,0.000009171255,0.00043275004,0.0006263147,0.000077208475,0.00033070098],"domain_scores_gemma":[0.99777067,0.00011435417,0.00020564414,0.0016917761,0.00013471526,0.00008285725],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020444862,0.0003178132,0.00029750355,0.000032182386,0.00027602224,0.00014228188,0.0013843429,0.0004227176,0.000052225238],"category_scores_gemma":[0.00016860552,0.0002466193,0.00021969044,0.00010793869,0.00011240296,0.00001980338,0.001725578,0.00080282905,0.0000329476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046957168,0.000076281016,0.00013885468,0.0004217201,0.0002107837,0.0000025927138,0.00006194368,0.00049381785,0.86349905,0.02865765,0.095279135,0.011111209],"study_design_scores_gemma":[0.00003904078,0.0000015708293,0.0000017187623,0.00006730916,0.000021779391,8.8400384e-7,0.000012904305,0.000026844946,0.5543352,0.011717637,0.43359432,0.00018079874],"about_ca_topic_score_codex":0.000043376145,"about_ca_topic_score_gemma":0.000011776385,"teacher_disagreement_score":0.3383152,"about_ca_system_score_codex":0.00020435052,"about_ca_system_score_gemma":0.00016868983,"threshold_uncertainty_score":0.9999986},"labels":[],"label_agreement":null},{"id":"W4406277997","doi":"10.1016/j.trac.2025.118143","title":"Cell surface proteomics: Analytical challenges and clinical applications in cancer","year":2025,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Society of Plastic Surgeons; Fonds De La Recherche Scientifique - FNRS","keywords":"Proteomics; Cancer; Computational biology; Nanotechnology; Computer science; Medicine; Biology; Materials science; Internal medicine; Biochemistry","score_opus":0.04059032663647864,"score_gpt":0.38671528645621384,"score_spread":0.3461249598197352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406277997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7406794,0.0040420196,0.002016696,0.0031704758,0.0000127100475,0.00027348538,0.00008117154,0.00019773607,0.24952635],"genre_scores_gemma":[0.9794657,0.0038839686,0.0075905137,0.000052161737,0.00007579797,0.00035097927,0.000045407167,0.000028126866,0.008507303],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979588,0.000016016527,0.0007363001,0.0007672275,0.00013375067,0.00038791957],"domain_scores_gemma":[0.99891156,0.00023681301,0.00009872419,0.00055307243,0.00004016938,0.00015966831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023333855,0.00026504096,0.0004729587,0.000085284715,0.000049450962,0.00002540466,0.000333935,0.0004342349,0.00036252206],"category_scores_gemma":[0.000043619795,0.00027227416,0.00013070533,0.00050309155,0.0002832303,0.000056330355,0.00013127051,0.0009012142,0.000002982709],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068617007,0.012799531,0.51414853,0.0051322095,0.0004957617,0.000099531535,0.0004815925,0.0016144307,0.081536986,0.09462844,0.0036621003,0.28471473],"study_design_scores_gemma":[0.012156335,0.00010914344,0.08871254,0.0017076471,0.0009930237,0.000023473869,0.002312777,0.20610385,0.5399899,0.069629654,0.07345803,0.0048036375],"about_ca_topic_score_codex":0.000043668708,"about_ca_topic_score_gemma":0.000059612325,"teacher_disagreement_score":0.45845288,"about_ca_system_score_codex":0.00018535047,"about_ca_system_score_gemma":0.00007768009,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W4406325587","doi":"10.1021/acs.jproteome.4c00576","title":"Characterization of 53 Multiplexed Targeted Proteomics Assays for Verification Studies in Cancer Cell Lines","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Jewish General Hospital; Genome British Columbia; Fonds de Recherche du Québec - Santé; Genome Canada","keywords":"Proteomics; Computational biology; Quantitative proteomics; Mass spectrometry; Biology; Biomarker; Multiplex; Orbitrap; Cancer; Tandem mass spectrometry; Peptide; Bioinformatics; Molecular biology; Chemistry; Biochemistry; Genetics; Chromatography; Gene","score_opus":0.13687738347848466,"score_gpt":0.4711668329990439,"score_spread":0.3342894495205592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406325587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96166074,0.0009516379,0.034160048,0.0009875804,0.000051532246,0.0019098503,0.00008206441,0.00001767392,0.00017887642],"genre_scores_gemma":[0.87208146,0.0040493063,0.11959932,0.0000112418475,0.00020259508,0.0027968665,0.00002793055,0.000029281628,0.0012019997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985079,0.00005558435,0.00073162065,0.00017848425,0.0002921328,0.00023426132],"domain_scores_gemma":[0.9972078,0.00017850632,0.00051573716,0.00022954344,0.0018288386,0.000039534425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012765396,0.00010775402,0.00031312846,0.000270843,0.00010148367,0.000018720062,0.0003215454,0.00013339799,0.000023181638],"category_scores_gemma":[0.00056415005,0.00009605778,0.00008302857,0.0004833753,0.00011397476,0.00019134353,0.00007305629,0.00041713016,3.9078625e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029002217,0.00019444029,0.000649416,0.001009779,0.00003266629,6.2367224e-7,0.00020980608,0.000054993085,0.99575263,0.00035341256,0.00006437051,0.0013878384],"study_design_scores_gemma":[0.00074025523,0.00007239351,0.0002938683,0.0004953085,0.0000101818805,8.8417744e-7,0.00028931155,0.0009746606,0.992104,0.003710202,0.0012321738,0.00007676507],"about_ca_topic_score_codex":0.000037792288,"about_ca_topic_score_gemma":0.000015093321,"teacher_disagreement_score":0.08957928,"about_ca_system_score_codex":0.00040191837,"about_ca_system_score_gemma":0.00032376515,"threshold_uncertainty_score":0.39171225},"labels":[],"label_agreement":null},{"id":"W4406409991","doi":"10.1021/acs.jproteome.4c00837","title":"IP-to-MS: An Unbiased Workflow for Antigen Profiling","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); IONICS Mass Spectrometry (Canada)","funders":"National Institute of General Medical Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Immunoprecipitation; Computational biology; Antibody; Profiling (computer programming); Workflow; Proteomics; Antigen; Chemistry; Computer science; Biology; Biochemistry; Immunology; Gene; Database","score_opus":0.0913327058732064,"score_gpt":0.4655664421780376,"score_spread":0.3742337363048312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406409991","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54930645,0.00026154515,0.44017634,0.0035858897,0.000050623978,0.002272063,0.00004229533,0.0000764322,0.004228356],"genre_scores_gemma":[0.24796866,0.000102631675,0.7481528,0.000069393944,0.0004664753,0.0009118852,0.000008706473,0.00003868102,0.0022808088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836904,0.000046210513,0.0004830321,0.00023605298,0.00043070814,0.00043497473],"domain_scores_gemma":[0.9979288,0.00019911176,0.00015686697,0.00041070522,0.0011064142,0.0001981132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019161735,0.000113586764,0.00023911268,0.0003774206,0.00028712064,0.00009963665,0.00067156163,0.00013052294,0.00007879668],"category_scores_gemma":[0.0005988942,0.00010066217,0.00011591795,0.0006342328,0.000069005844,0.0001699246,0.000115443196,0.00072939123,0.0000059098993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031422652,0.000119927565,0.00048974727,0.00019626998,0.00003359723,0.0000058422415,0.00005269058,0.000085214015,0.9775547,0.0029781612,0.0009357056,0.017233929],"study_design_scores_gemma":[0.00046211592,0.00018677991,0.000056569294,0.00034416866,0.0000067671995,0.0000075485796,0.00012394271,0.00062055694,0.9293386,0.043073524,0.02567055,0.00010890042],"about_ca_topic_score_codex":0.000008524132,"about_ca_topic_score_gemma":0.0000018921259,"teacher_disagreement_score":0.30797642,"about_ca_system_score_codex":0.00020148975,"about_ca_system_score_gemma":0.00044106448,"threshold_uncertainty_score":0.4104884},"labels":[],"label_agreement":null},{"id":"W4406411627","doi":"10.1146/annurev-anchem-071124-113819","title":"Clinical Microbiome Analysis by Mass Spectrometry–Based Metaproteomics","year":2025,"lang":"en","type":"review","venue":"Annual Review of Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"","keywords":"Metaproteomics; Microbiome; Proteomics; Computational biology; Human microbiome; Metagenomics; Data science; Computer science; Bioinformatics; Biology","score_opus":0.020546125519687503,"score_gpt":0.3909633147197822,"score_spread":0.3704171892000947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406411627","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[5.9112926e-7,0.95849895,0.022133993,0.00011403045,0.000013319275,0.0005294929,0.005186121,0.00011515027,0.013408326],"genre_scores_gemma":[9.4891186e-7,0.9558623,0.03262216,0.00021407833,0.000120001336,0.00030250906,0.0041222526,0.00006708381,0.00668871],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941325,0.00008852327,0.0034116723,0.00135398,0.00044798927,0.00056529394],"domain_scores_gemma":[0.9944918,0.0008575621,0.0017564208,0.002171207,0.00038279238,0.00034017523],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088978035,0.00092452107,0.006524107,0.00019003985,0.00007235812,0.000031443586,0.0016072942,0.0010767803,0.0024377594],"category_scores_gemma":[0.0009892427,0.00080346776,0.00551034,0.0032701197,0.00038547703,0.000056943907,0.00027212373,0.0014759613,0.00002831736],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000107656715,0.0005629912,0.000012515518,0.83381516,0.005419725,0.000012461493,7.88497e-7,5.6915786e-7,0.00047751548,0.00018582985,0.024765588,0.13473612],"study_design_scores_gemma":[0.00011631099,0.000012355573,2.9439471e-8,0.06144552,0.022727998,0.0000037931216,0.0000027820079,0.00003180525,0.002476442,0.000085863336,0.91244143,0.00065568223],"about_ca_topic_score_codex":0.0000057069633,"about_ca_topic_score_gemma":1.2958957e-7,"teacher_disagreement_score":0.8876758,"about_ca_system_score_codex":0.00025521888,"about_ca_system_score_gemma":0.0006897175,"threshold_uncertainty_score":0.9994416},"labels":[],"label_agreement":null},{"id":"W4406644944","doi":"10.21203/rs.3.rs-5429797/v1","title":"Proteoform Search from Protein Database with Top-Down Mass Spectra: Algorithms and Evaluation","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Waterloo","funders":"National Natural Science Foundation of China; City University of Hong Kong; National Science Foundation","keywords":"Computer science; Database; Spectral line; Algorithm; Information retrieval; Chemistry; Physics","score_opus":0.06226527210188592,"score_gpt":0.41711003155476484,"score_spread":0.3548447594528789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406644944","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68133235,0.0032322046,0.2223021,0.0063387994,0.00005024769,0.029963734,0.014599677,0.0010236419,0.041157283],"genre_scores_gemma":[0.23634188,0.001341376,0.69704443,0.000026070473,0.000934075,0.044161152,0.008906965,0.00017186806,0.011072201],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957144,0.00016528675,0.0003657179,0.0013144282,0.001723923,0.0007161906],"domain_scores_gemma":[0.9966891,0.00018273626,0.0001209094,0.0017416411,0.0010404565,0.00022515516],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017088993,0.00036859358,0.0003698656,0.00025515977,0.00041178984,0.00026580915,0.00070504774,0.00043936484,0.00076363806],"category_scores_gemma":[0.00017482354,0.00032920216,0.00007034914,0.0003896819,0.00019544708,0.00014177155,0.0015019192,0.002973756,0.00001655471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015472024,0.0012208592,0.0055202385,0.017910467,0.0007242707,0.00015381257,0.0015895008,0.0010821843,0.6734517,0.0117894765,0.0018630153,0.28314728],"study_design_scores_gemma":[0.0010577674,0.00012289954,0.000113064634,0.0044305315,0.000058425558,0.0000036683866,0.0005606269,0.026728462,0.90094006,0.06122372,0.004090857,0.00066992606],"about_ca_topic_score_codex":0.002256153,"about_ca_topic_score_gemma":0.00011701123,"teacher_disagreement_score":0.47474232,"about_ca_system_score_codex":0.0010614236,"about_ca_system_score_gemma":0.0012333246,"threshold_uncertainty_score":0.999916},"labels":[],"label_agreement":null},{"id":"W4406789015","doi":"10.1101/2025.01.21.634187","title":"Proteomic Analysis of Breast Cancer Subtypes Identifies Stromal Protein Profiles that Contribute to Aggressive Malignant Behavior","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada)","funders":"National Cancer Institute; National Institute on Aging; Buck Institute for Research on Aging","keywords":"Stromal cell; Breast cancer; Cancer; Computational biology; Oncology; Cancer research; Medicine; Biology; Internal medicine","score_opus":0.011440298754234373,"score_gpt":0.2615274981675068,"score_spread":0.25008719941327245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406789015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684848,0.00040392423,0.0053667566,0.0002351005,0.000096117146,0.0029806073,0.022028109,0.00039811927,0.0000064730475],"genre_scores_gemma":[0.96449745,0.00017342872,0.017589668,0.00002907157,0.00013077757,0.017397707,0.0000081640765,0.000082032835,0.00009170153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968096,0.00004950018,0.0008045909,0.0013014554,0.00044742893,0.00058740797],"domain_scores_gemma":[0.9955313,0.00003268818,0.0014996221,0.0017600426,0.00094407063,0.00023222849],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025072545,0.0006675881,0.0011424435,0.000549468,0.00018734933,0.00015715501,0.0010182823,0.0006091012,0.00023693955],"category_scores_gemma":[0.00008473331,0.0006935056,0.00041484158,0.0010188443,0.00015885079,0.00011905152,0.00089888,0.00068105117,0.0000056578792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008282294,0.00018542891,0.030969612,0.00077012903,0.00097634754,0.00001991401,0.000009120829,0.00018085826,0.96620286,0.00055056246,0.000047056954,0.000005320512],"study_design_scores_gemma":[0.00021912175,0.000011877688,0.051992305,0.0017127569,0.0017365253,1.696316e-8,0.000004203107,0.00013400451,0.9434293,0.000007921179,0.00010178101,0.0006501848],"about_ca_topic_score_codex":0.00049877376,"about_ca_topic_score_gemma":0.000019001602,"teacher_disagreement_score":0.022773525,"about_ca_system_score_codex":0.00044318163,"about_ca_system_score_gemma":0.00069860497,"threshold_uncertainty_score":0.9995516},"labels":[],"label_agreement":null},{"id":"W4406854556","doi":"10.1021/acs.jproteome.4c00845","title":"Sequential Proteomic and N-Glycoproteomic Analyses of Bronchoalveolar Lavage Fluids for Potential Biomarker Discovery of Lung Adenocarcinoma","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"K. C. Wong Magna Fund in Ningbo University; National Key Research and Development Program of China; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Bronchoalveolar lavage; Biomarker; Biomarker discovery; Adenocarcinoma; Proteomics; Lung; Lung cancer; Immunology; Medicine; Biology; Computational biology; Pathology; Cancer; Internal medicine; Biochemistry; Gene","score_opus":0.06613798021373847,"score_gpt":0.43046948208808383,"score_spread":0.3643315018743454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406854556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8337047,0.001942207,0.16203886,0.0003510882,0.000032534514,0.0015400632,0.00012643436,0.000013973877,0.0002501524],"genre_scores_gemma":[0.9363649,0.00047077725,0.06174596,0.00000486384,0.00013297652,0.0003533581,0.00000995953,0.000034960125,0.000882248],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972577,0.00012005341,0.001184986,0.0003461724,0.0006473316,0.0004437604],"domain_scores_gemma":[0.9974562,0.00019006811,0.00069309195,0.0004951726,0.001055235,0.00011022583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017542889,0.0002208011,0.0006424551,0.0007151734,0.00019413109,0.000077851735,0.00062905933,0.00024490728,0.000057827994],"category_scores_gemma":[0.00032938126,0.00019158368,0.00035744134,0.0004825339,0.0004979744,0.0003977273,0.0003238259,0.0006926223,4.3242585e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010795415,0.0001668138,0.002585462,0.001733826,0.0002895843,0.000007802972,0.00004461169,0.000023891751,0.9922999,0.0006940725,0.00039583346,0.00067865086],"study_design_scores_gemma":[0.0014723953,0.00023572025,0.0013219297,0.0006306672,0.00012600819,0.00003732087,0.00009230873,0.001129941,0.98615134,0.00849838,0.0001538562,0.00015015631],"about_ca_topic_score_codex":0.000113388196,"about_ca_topic_score_gemma":0.0000015838058,"teacher_disagreement_score":0.10266022,"about_ca_system_score_codex":0.00019764437,"about_ca_system_score_gemma":0.0006019174,"threshold_uncertainty_score":0.78125554},"labels":[],"label_agreement":null},{"id":"W4407110518","doi":"10.1002/pmic.202400225","title":"Comparative Analysis of Data‐Driven Rescoring Platforms for Improved Peptide Identification in HeLa Digest Samples","year":2025,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canada Research Chairs","keywords":"Computer science; Identification (biology); Proteomics; Computational biology; Data mining; Bioinformatics; Biology; Gene; Biochemistry","score_opus":0.0638963894857469,"score_gpt":0.3686987505385418,"score_spread":0.3048023610527949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407110518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47626108,0.000036516307,0.5212453,0.00008400714,0.000009491282,0.0008590146,0.000888606,0.00005318377,0.0005627895],"genre_scores_gemma":[0.7229128,0.00006252155,0.27448833,0.000010932968,0.000016544443,0.0009342415,0.0013090327,0.000009196397,0.00025641703],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988562,0.0000038882727,0.00051776326,0.00039644347,0.000058947335,0.00016676333],"domain_scores_gemma":[0.9986398,0.00012852783,0.0002971913,0.0008076994,0.00010223896,0.00002449462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019815331,0.00012413901,0.00035534884,0.00021423651,0.00008205705,0.000028807788,0.00053020834,0.0000902949,0.000007437322],"category_scores_gemma":[0.00007889187,0.0001286189,0.00007984319,0.00058462674,0.000057275203,0.00021983874,0.00018918516,0.00014335974,5.270046e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010776654,0.000097266864,0.0052027805,0.00014182627,0.00025570416,6.970666e-8,0.0001845391,0.0017468047,0.9795212,0.011370607,0.000031448137,0.0013399988],"study_design_scores_gemma":[0.00035960268,0.000008672001,0.001547304,0.0000713725,0.00021216368,1.3423697e-7,0.00021913074,0.11347647,0.86887944,0.014293774,0.00076678797,0.0001651546],"about_ca_topic_score_codex":0.000119814875,"about_ca_topic_score_gemma":0.0003307976,"teacher_disagreement_score":0.24675699,"about_ca_system_score_codex":0.00010591913,"about_ca_system_score_gemma":0.000058297162,"threshold_uncertainty_score":0.5244927},"labels":[],"label_agreement":null},{"id":"W4407259436","doi":"10.1021/acs.jproteome.4c00609","title":"TIMS<sup>2</sup>Rescore: A Data Dependent Acquisition-Parallel Accumulation and Serial Fragmentation-Optimized Data-Driven Rescoring Pipeline Based on MS<sup>2</sup>Rescore","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"Universiteit Gent; Centre National de la Recherche Scientifique; Vlaamse regering; Deutsche Krebshilfe; Institut National de la Santé et de la Recherche Médicale; Université de Strasbourg; Deutschen Konsortium für Translationale Krebsforschung; Fonds Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; CHIST-ERA; HORIZON EUROPE Framework Programme; Heidelberger Zentrum für Personalisierte Onkologie Deutsches Krebsforschungszentrum In Der Helmholtz-Gemeinschaft; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Deutsches Krebsforschungszentrum","keywords":"Computer science; Proteomics; Workflow; Pipeline (software); Metaproteomics; Identification (biology); Fragmentation (computing); Computational biology; Data mining; Bioinformatics; Data science; Chemistry; Biology; Database","score_opus":0.11260869080130066,"score_gpt":0.42241153425877875,"score_spread":0.3098028434574781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407259436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4301982,0.0005265629,0.5552194,0.0066631744,0.00008880372,0.0037477526,0.0015597295,0.00020500582,0.001791383],"genre_scores_gemma":[0.5917683,0.0007960296,0.40213323,0.0002029013,0.0013729386,0.0004782168,0.0021184832,0.00011618354,0.0010136873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953083,0.00029415524,0.0012542743,0.000957578,0.0015223728,0.000663361],"domain_scores_gemma":[0.99524283,0.0007526395,0.00053944107,0.0023430483,0.00082385394,0.0002982103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029942528,0.00034926884,0.0005813638,0.0006709627,0.0006319951,0.00040712964,0.002257719,0.0003088716,0.0004794822],"category_scores_gemma":[0.0010222448,0.0003445304,0.00010550485,0.0006935502,0.00020550571,0.0011178259,0.0014344569,0.001715093,0.000018587569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008183109,0.0011342589,0.0018329286,0.001011224,0.00031825923,0.00015505703,0.00034460626,0.8789625,0.08096704,0.00094850454,0.010725876,0.015416641],"study_design_scores_gemma":[0.0051403735,0.00021400905,0.00014820376,0.0010919815,0.00009164014,0.000037391266,0.00030668298,0.96903163,0.017240508,0.0036886195,0.0026323532,0.00037658715],"about_ca_topic_score_codex":0.00011427621,"about_ca_topic_score_gemma":0.000009384531,"teacher_disagreement_score":0.16157012,"about_ca_system_score_codex":0.00044041357,"about_ca_system_score_gemma":0.0007109679,"threshold_uncertainty_score":0.9999007},"labels":[],"label_agreement":null},{"id":"W4407365840","doi":"10.1021/acs.analchem.4c03709","title":"SIGNIFICANT IMPACT OF CONSUMABLE MATERIAL AND BUFFER COMPOSITION FOR LOW-CELL NUMBER PROTEOMIC SAMPLE PREPARATION","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Stichting Tegen Kanker; Fonds De La Recherche Scientifique - FNRS","keywords":"Chemistry; Buffer (optical fiber); Sample preparation; Sample (material); Composition (language); Chromatography; Telecommunications","score_opus":0.008084622592865028,"score_gpt":0.3163664040385045,"score_spread":0.3082817814456395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407365840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589831,0.000007045988,0.03386289,0.000035804733,0.000004350869,0.00028093118,0.00041473148,0.000049676393,0.006361461],"genre_scores_gemma":[0.988565,0.000011039712,0.009932262,0.000009962631,0.00003527216,0.00022728421,0.00031365405,0.0000113304295,0.0008941835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992591,0.0000034561137,0.0002727149,0.0002485221,0.000060248236,0.0001559734],"domain_scores_gemma":[0.9994287,0.00009641777,0.000099283345,0.00023364455,0.00008757739,0.000054391876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053366522,0.00012721356,0.00020420908,0.000009775704,0.00006324506,0.000028422195,0.000089501955,0.00013721529,0.0004154212],"category_scores_gemma":[0.000031923544,0.00012172461,0.000096603384,0.00006135999,0.0000981836,0.000042662414,0.0000408968,0.000085659434,0.0000013943585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017789498,0.000108112545,0.0021551424,0.00051226665,0.000033871333,1.4052745e-7,0.000005908249,0.00004444326,0.9958459,0.00060965546,0.00045497436,0.00005169617],"study_design_scores_gemma":[0.0004107438,0.000012692364,0.00005639776,0.000054410048,0.000058219128,0.000001405052,0.0000061840215,0.0055859843,0.9874747,0.006072265,0.00015017501,0.00011685311],"about_ca_topic_score_codex":0.000055303866,"about_ca_topic_score_gemma":1.9039908e-7,"teacher_disagreement_score":0.0295819,"about_ca_system_score_codex":0.00008450002,"about_ca_system_score_gemma":0.000071548755,"threshold_uncertainty_score":0.49637854},"labels":[],"label_agreement":null},{"id":"W4407802487","doi":"10.1089/ipm.12.01.08","title":"Population Proteomics: A New Frontier for Precision Medicine","year":2025,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Frontier; Proteomics; Population; Precision medicine; Data science; Computer science; Computational biology; Geography; Medicine; Biology; Environmental health; Pathology; Archaeology; Genetics","score_opus":0.023384912934318717,"score_gpt":0.3440043028622636,"score_spread":0.32061938992794486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407802487","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023384774,0.0013345309,0.94687414,0.011501126,0.00033687736,0.0017074834,0.000019280173,0.0003595624,0.014482221],"genre_scores_gemma":[0.27767608,0.00091644324,0.67853326,0.0021235244,0.0023138283,0.0017139375,0.0005968128,0.00011696002,0.03600914],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99778044,0.000020288322,0.0009023274,0.0006309166,0.00036801546,0.0002980233],"domain_scores_gemma":[0.9979052,0.0005292301,0.0003052206,0.0008505599,0.00023962121,0.00017015947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004948913,0.00029562713,0.00056355196,0.00025698196,0.0002095883,0.000016169402,0.00041844152,0.00027071015,0.00076081214],"category_scores_gemma":[0.0018084652,0.00022633909,0.00009060631,0.0003663295,0.000110207555,0.00014983554,0.0001320722,0.0003027552,0.000009710662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006987052,0.00008026417,0.0014463,0.00019622456,0.00005157275,0.0000019455015,0.00033700993,0.000114234426,0.30150568,0.012996353,0.17218083,0.5103909],"study_design_scores_gemma":[0.0039751716,0.00019704393,0.00082594896,0.0024130605,0.00012886246,0.000008524544,0.00015305339,0.0032819896,0.105141535,0.6068976,0.276633,0.00034424482],"about_ca_topic_score_codex":0.0004234988,"about_ca_topic_score_gemma":0.00003460981,"teacher_disagreement_score":0.5939012,"about_ca_system_score_codex":0.00017913384,"about_ca_system_score_gemma":0.00008170106,"threshold_uncertainty_score":0.92298406},"labels":[],"label_agreement":null},{"id":"W4408228150","doi":"10.1021/acs.jproteome.4c00972","title":"SWAPS: A Modular Deep-Learning Empowered Peptide Identity Propagation Framework Beyond Match-Between-Run","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"European Research Council; Bundesministerium für Bildung und Forschung","keywords":"Modular design; Peptide; Identity (music); Computer science; Artificial intelligence; Computational biology; Chemistry; Biology; Biochemistry; Operating system","score_opus":0.03238041872282925,"score_gpt":0.400132036224231,"score_spread":0.36775161750140173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408228150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4962756,0.0005439072,0.49526066,0.0018513622,0.000038304614,0.0007200587,0.0000070373894,0.00008309371,0.0052199746],"genre_scores_gemma":[0.8348148,0.00032937434,0.16160154,0.000020499685,0.00041291106,0.0002431266,0.000008338959,0.00003955895,0.002529878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99714696,0.000166648,0.0007970277,0.00031424992,0.0010641316,0.000510955],"domain_scores_gemma":[0.99738973,0.00031961847,0.00046645463,0.00047686687,0.0011707742,0.00017657837],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002658382,0.00018123169,0.00037402383,0.00046208664,0.00051106844,0.00023216582,0.00082395284,0.0003080982,0.00028191827],"category_scores_gemma":[0.0014596166,0.00016958178,0.00018426574,0.0010206001,0.00017195012,0.0006053594,0.00031307762,0.00308326,0.00003179519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024271695,0.00030252142,0.012124792,0.0009865315,0.00023404429,0.000060189657,0.0004703748,0.00033647346,0.9412417,0.022678157,0.0006295127,0.020693006],"study_design_scores_gemma":[0.0006008761,0.00017120742,0.0013778239,0.0011700287,0.000040815572,0.000029180377,0.000601152,0.00065298006,0.49283662,0.49013805,0.012109765,0.00027147066],"about_ca_topic_score_codex":0.000021787828,"about_ca_topic_score_gemma":0.0000025848483,"teacher_disagreement_score":0.46745992,"about_ca_system_score_codex":0.0004302218,"about_ca_system_score_gemma":0.00028568818,"threshold_uncertainty_score":0.9992167},"labels":[],"label_agreement":null},{"id":"W4408283369","doi":"10.1021/acsomega.4c06211","title":"Comparison of the Human Plasma Peptides from the Fit of Fragmentation Spectra versus Accurate Monoisotopic Precursor Mass","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monoisotopic mass; Fragmentation (computing); Mass spectrum; Human plasma; Spectral line; Chemistry; Chromatography; Mass spectrometry; Physics; Biology; Astronomy","score_opus":0.038558820483031844,"score_gpt":0.3522187927235026,"score_spread":0.31365997224047076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408283369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917667,0.00007818289,0.001717109,0.0004237731,0.000036879104,0.00021747214,0.00007096114,0.00003001968,0.0056589274],"genre_scores_gemma":[0.9946454,0.000022179125,0.004537284,0.000018694163,0.000028429926,0.0000981186,0.000023881808,0.0000069877674,0.00061902753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994287,0.000011416063,0.00024887302,0.00013210985,0.000094099334,0.00008478529],"domain_scores_gemma":[0.9991033,0.0001915257,0.0002198439,0.00043842365,0.000036632977,0.000010248345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003460716,0.00008243321,0.00013176959,0.00001183048,0.00011248175,0.000012663438,0.00040141144,0.000059232847,0.000026164531],"category_scores_gemma":[0.000028756242,0.000057309233,0.00005601133,0.000118612246,0.00008092901,0.00004225044,0.000069811365,0.00015029003,0.0000016927293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047701342,0.000078615834,0.024500545,0.000045010136,0.00006800143,5.8304966e-8,0.00041329424,0.00031415813,0.95758736,0.014440837,0.0011029902,0.001401451],"study_design_scores_gemma":[0.0003637963,0.000011989262,0.003140907,0.000056545538,0.000037564983,3.0351117e-8,0.00037361932,0.00033218297,0.9800966,0.013743722,0.0017886424,0.000054393393],"about_ca_topic_score_codex":0.00010240713,"about_ca_topic_score_gemma":0.00004339246,"teacher_disagreement_score":0.02250927,"about_ca_system_score_codex":0.000036157056,"about_ca_system_score_gemma":0.00001973913,"threshold_uncertainty_score":0.23370028},"labels":[],"label_agreement":null},{"id":"W4408299269","doi":"10.1038/s41422-025-01091-x","title":"Publisher Correction: Comprehensive discovery and functional characterization of the noncanonical proteome","year":2025,"lang":"en","type":"erratum","venue":"Cell Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Computational biology; Proteome; Human proteome project; Bioinformatics; Proteomics; Genetics; Gene","score_opus":0.03762710178556088,"score_gpt":0.319926862107783,"score_spread":0.2822997603222221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408299269","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014736165,0.0012189961,0.012071784,0.0034587143,0.017030247,0.003671634,0.00054314325,0.00020531488,0.947064],"genre_scores_gemma":[0.005123909,0.00075242,0.00019860278,0.000037490034,0.0006492695,0.000736896,0.0008719506,0.000032343778,0.9915971],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984173,0.0000632366,0.00028300757,0.000439683,0.00054158544,0.00025517272],"domain_scores_gemma":[0.998357,0.0001702675,0.00017448905,0.00063644815,0.0006091932,0.000052621857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017347927,0.00016704822,0.0002337,0.00010878895,0.0003011809,0.0001482133,0.0003683436,0.0004724469,0.00022275443],"category_scores_gemma":[0.00008798434,0.00013281677,0.00009193624,0.00043303767,0.00038335277,0.00015833705,0.00059216854,0.002036037,0.0000033845356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046278732,0.000087090986,0.000095543,0.0007307932,0.00001956828,6.1512145e-7,0.000017346274,0.000001901131,0.21269038,0.00044473464,0.7847433,0.0011224682],"study_design_scores_gemma":[0.00016388092,0.00001964692,0.00080731063,0.00038065837,0.000015187299,0.0000035127068,0.00003749082,0.00012509098,0.06664356,0.001476056,0.9301702,0.00015739929],"about_ca_topic_score_codex":0.000034565102,"about_ca_topic_score_gemma":0.0000048467987,"teacher_disagreement_score":0.14604682,"about_ca_system_score_codex":0.00015393831,"about_ca_system_score_gemma":0.0007928875,"threshold_uncertainty_score":0.8845681},"labels":[],"label_agreement":null},{"id":"W4408402718","doi":"10.1021/acsagscitech.4c00642","title":"Comparative Analysis of Protein Extraction Protocols for Olive Leaf Proteomics: Insights into Differential Protein Abundance and Isoelectric Point Distribution","year":2025,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Directorate for Biological Sciences; Biotechnology and Biological Sciences Research Council; University of Worcester; Marmara Üniversitesi; Istanbul Teknik Üniversitesi","keywords":"Isoelectric point; Proteomics; Extraction (chemistry); Protein purification; Abundance (ecology); Isoelectric focusing; Biology; Distribution (mathematics); Computational biology; Chemistry; Chromatography; Biochemistry; Ecology; Enzyme; Gene; Mathematics","score_opus":0.009332424760438059,"score_gpt":0.307786081377987,"score_spread":0.29845365661754897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408402718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85742867,0.000057590667,0.13070281,0.00041555878,0.0000054537527,0.011055734,0.000030409486,0.00017190725,0.00013183676],"genre_scores_gemma":[0.94391894,0.000011285626,0.014132654,0.0000039686965,0.000013126394,0.041683126,0.000069934315,0.0000035981689,0.00016338918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99843025,0.000011479133,0.0004262052,0.000626926,0.00017965019,0.00032549395],"domain_scores_gemma":[0.9986599,0.000027026303,0.00043116588,0.00033077228,0.00050354574,0.00004757951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109145025,0.00021592028,0.000425682,0.0004220644,0.0005166003,0.0000620576,0.0005067749,0.00023016772,0.000006024666],"category_scores_gemma":[0.00012268622,0.00015531624,0.00008059826,0.004298914,0.00078284024,0.00032879593,0.00018001784,0.00028021424,5.585236e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000441294,0.00010599083,0.0001163543,0.00007408389,0.000055184526,1.18601044e-7,0.00008464651,0.000025672265,0.9464964,0.051042214,0.000007327503,0.0019478666],"study_design_scores_gemma":[0.0002601415,0.00012944959,0.001232979,0.00012590062,0.000089982845,0.0000016766583,0.00026872224,0.0014391313,0.97352636,0.022261627,0.00047233803,0.00019167193],"about_ca_topic_score_codex":0.000051119987,"about_ca_topic_score_gemma":0.00005782151,"teacher_disagreement_score":0.11657016,"about_ca_system_score_codex":0.00033541114,"about_ca_system_score_gemma":0.00009643787,"threshold_uncertainty_score":0.6333612},"labels":[],"label_agreement":null},{"id":"W4408572181","doi":"10.1002/pmic.202400238","title":"Monitoring Functional Posttranslational Modifications Using a Data‐Driven Proteome Informatic Pipeline","year":2025,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Jane ja Aatos Erkon Säätiö; Vetenskapsrådet; Academy of Finland; Svenska Läkaresällskapet; Wellcome Trust","keywords":"Proteomics; Proteome; Computational biology; Pipeline (software); Computer science; In silico; Posttranslational modification; Glycoproteomics; Bioinformatics; Biology; Chemistry; Biochemistry; Gene","score_opus":0.07659382303852626,"score_gpt":0.33719350303128964,"score_spread":0.2605996799927634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408572181","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07574039,0.000083092025,0.91848135,0.0005436375,0.00005556234,0.0007979505,0.00026572804,0.00026840687,0.003763905],"genre_scores_gemma":[0.32419682,0.000040381095,0.6736876,0.000049519345,0.00019814647,0.00072468934,0.00039107955,0.000025970028,0.00068580714],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867195,0.000009052945,0.00050163065,0.00036747905,0.00019931955,0.00025058526],"domain_scores_gemma":[0.9986161,0.000052343,0.0001819968,0.00090322463,0.00018152583,0.00006480409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014747182,0.00019301586,0.00017300155,0.000119075215,0.0003682005,0.00007512099,0.00054415554,0.00014151123,0.00009005526],"category_scores_gemma":[0.0000815559,0.00021097113,0.00005699028,0.00031739377,0.00007274864,0.00044760088,0.00022602762,0.0003466604,0.000016976453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008441467,0.00020977276,0.0040016086,0.00038322085,0.0000843547,8.5624225e-7,0.00012970234,0.018808194,0.9564796,0.012809553,0.00023088824,0.0067778537],"study_design_scores_gemma":[0.0006790043,0.000005529105,0.00032422872,0.00031162697,0.00007256988,0.000016066711,0.000080348764,0.58632845,0.3856434,0.022534002,0.0035834156,0.00042134692],"about_ca_topic_score_codex":0.000026439739,"about_ca_topic_score_gemma":0.0000017869661,"teacher_disagreement_score":0.5708362,"about_ca_system_score_codex":0.0001727397,"about_ca_system_score_gemma":0.00025589493,"threshold_uncertainty_score":0.8603153},"labels":[],"label_agreement":null},{"id":"W4408658903","doi":"10.22541/au.174249381.13285606/v1","title":"Uncovering the proteogenomic landscape of head and neck squamous cell carcinoma through urine analysis","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Fundação para a Ciência e a Tecnologia; Laboratório Associado para a Química Verde; Universidade de Aveiro; Rede de Química e Tecnologia; Instituto Português de Oncologia do Porto; European Commission; European Consortium of Innovative Universities","keywords":"Head and neck; Basal cell; Head and neck squamous-cell carcinoma; Medicine; Pathology; Internal medicine; Head and neck cancer; Cancer; Surgery","score_opus":0.012676039968256437,"score_gpt":0.26878664726511176,"score_spread":0.2561106072968553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408658903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9093757,0.0008986004,0.028489714,0.00019175671,0.0000121575795,0.0005759683,0.00028117668,0.000107222986,0.060067687],"genre_scores_gemma":[0.9532263,0.00018889374,0.042634696,0.000037972175,0.000045956218,0.00045350968,0.000105843705,0.000017046741,0.0032897643],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881953,0.000010061892,0.00039508528,0.000489483,0.00010826565,0.00017754757],"domain_scores_gemma":[0.9984969,0.000067817586,0.00028254164,0.0010548763,0.00006512502,0.000032751945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006842661,0.0002561389,0.00043464502,0.0000617649,0.00009532651,0.000032621527,0.00043623475,0.00021896354,0.00022212988],"category_scores_gemma":[0.0000096628955,0.00019580494,0.00022286303,0.00022207038,0.00006031656,0.00002540811,0.0010021244,0.0004504463,9.74273e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006144224,0.0016389807,0.44296947,0.021200962,0.00301859,0.000024686653,0.004045861,0.17513512,0.32184783,0.019696,0.0023063265,0.0075017395],"study_design_scores_gemma":[0.0005877544,0.00002802245,0.0014106953,0.000078700185,0.0011317249,0.0000030173687,0.00018792714,0.005017098,0.9644708,0.022120843,0.004399362,0.00056404585],"about_ca_topic_score_codex":0.0010876019,"about_ca_topic_score_gemma":0.00009517708,"teacher_disagreement_score":0.642623,"about_ca_system_score_codex":0.000049657032,"about_ca_system_score_gemma":0.0000844967,"threshold_uncertainty_score":0.79846936},"labels":[],"label_agreement":null},{"id":"W4408740277","doi":"10.1021/acs.jproteome.4c00967","title":"ProSIMSIt: The Best of Both Worlds in Data-Driven Rescoring and Identification Transfer","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"H2020 Research Infrastructures; European Research Council; Bundesministerium für Bildung und Forschung","keywords":"Computer science; Python (programming language); Pipeline (software); Cluster analysis; Proteome; Data mining; Missing data; Profiling (computer programming); Computational biology; Bioinformatics; Machine learning; Biology; Programming language","score_opus":0.09502943797816282,"score_gpt":0.4294754910656768,"score_spread":0.33444605308751396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408740277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583357,0.0010330275,0.03372651,0.0042403773,0.00001685137,0.0009316035,0.00003556537,0.000010559981,0.0016698174],"genre_scores_gemma":[0.99132085,0.00075376395,0.00681624,0.000004489222,0.000051026043,0.0001033724,0.0000030085964,0.000009009304,0.00093826157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987967,0.00005935144,0.00048424472,0.00015776146,0.00033704218,0.00016488049],"domain_scores_gemma":[0.9989722,0.00014960197,0.000100627694,0.0004967267,0.00024648555,0.000034397657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019343451,0.00006080459,0.0001490854,0.0002275305,0.00010953213,0.000048800564,0.0006739218,0.000060087455,0.000022384565],"category_scores_gemma":[0.00018536452,0.000044171957,0.00002755085,0.00048681427,0.0001626808,0.00018146864,0.00018319991,0.0007357175,8.538e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009985932,0.00011574532,0.0036906193,0.00029226826,0.000020324866,0.0000033930423,0.00016886281,0.000046204008,0.98560566,0.002696258,0.00011831447,0.0071425014],"study_design_scores_gemma":[0.0007226689,0.000066729604,0.0019083285,0.0012224171,0.000024011582,0.00001904208,0.0006775376,0.0019193062,0.967014,0.02029547,0.006015514,0.00011497319],"about_ca_topic_score_codex":0.000038999875,"about_ca_topic_score_gemma":0.000030860974,"teacher_disagreement_score":0.032985143,"about_ca_system_score_codex":0.00007226467,"about_ca_system_score_gemma":0.00015317471,"threshold_uncertainty_score":0.31963673},"labels":[],"label_agreement":null},{"id":"W4408986430","doi":"10.1101/2025.03.25.644590","title":"MetaboMiNR: a web application to analyze label free quantitative proteomic experiments with a focus on metabolism and nuclear receptors","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Focus (optics); Nuclear receptor; Receptor; Computational biology; Computer science; Chemistry; Cell biology; Biochemistry; Biology; Physics; Transcription factor","score_opus":0.012681998402067596,"score_gpt":0.2621976362735378,"score_spread":0.24951563787147021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408986430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701066,0.0007072706,0.02245422,0.0008150995,0.00009892074,0.003216473,0.0013834045,0.00096650637,0.00025151917],"genre_scores_gemma":[0.672614,0.00022317607,0.32102862,0.00018542729,0.00009423194,0.005679281,0.0000012959182,0.00014836552,0.000025645706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971134,0.000049986204,0.0005251454,0.001525692,0.00034398105,0.00044179612],"domain_scores_gemma":[0.9966661,0.00005602942,0.0005021084,0.0021259517,0.0003564697,0.00029338812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023540406,0.0007004169,0.0007438703,0.00031104757,0.0002512214,0.00016553677,0.0008679867,0.00047014514,0.00003704884],"category_scores_gemma":[0.00011951975,0.0006997868,0.00009865916,0.00059769326,0.00013042068,0.00011790934,0.0007901765,0.0008101665,0.000026961423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022088113,0.00021741349,0.00013605035,0.00020971544,0.00024148257,0.0000027081514,0.000033031112,0.000033190947,0.96131873,0.03735588,0.00021330261,0.000017640681],"study_design_scores_gemma":[0.00096083846,0.00007045774,0.00027912474,0.0005147194,0.00023882302,1.5504543e-8,0.00001739348,0.000797489,0.9864767,0.00016934308,0.009534343,0.00094075355],"about_ca_topic_score_codex":0.00010274985,"about_ca_topic_score_gemma":0.000004897332,"teacher_disagreement_score":0.2985744,"about_ca_system_score_codex":0.00028690026,"about_ca_system_score_gemma":0.00028995334,"threshold_uncertainty_score":0.99954534},"labels":[],"label_agreement":null},{"id":"W4409075976","doi":"10.26434/chemrxiv-2025-rh2q9-v2","title":"The Microbiologist’s Guide to Metaproteomics","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada; University of Ottawa","funders":"","keywords":"Metaproteomics; Computer science; Medicine; Data science; Biology; Metagenomics","score_opus":0.019009612719977725,"score_gpt":0.3142660509753069,"score_spread":0.2952564382553292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409075976","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072391175,0.0035353957,0.5448401,0.023445243,0.0008607149,0.0041440288,0.0005782382,0.0025595531,0.34764558],"genre_scores_gemma":[0.026037397,0.0026185708,0.6585115,0.0018607292,0.00084298477,0.009896332,0.00051134813,0.00012603568,0.2995951],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852383,0.000009171255,0.00043275004,0.0006263147,0.000077208475,0.00033070098],"domain_scores_gemma":[0.99777067,0.00011435417,0.00020564414,0.0016917761,0.00013471526,0.00008285725],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020444862,0.0003178132,0.00029750355,0.000032182386,0.00027602224,0.00014228188,0.0013843429,0.0004227176,0.000052225238],"category_scores_gemma":[0.00016860552,0.0002466193,0.00021969044,0.00010793869,0.00011240296,0.00001980338,0.001725578,0.00080282905,0.0000329476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046957168,0.000076281016,0.00013885468,0.0004217201,0.0002107837,0.0000025927138,0.00006194368,0.00049381785,0.86349905,0.02865765,0.095279135,0.011111209],"study_design_scores_gemma":[0.00003904078,0.0000015708293,0.0000017187623,0.00006730916,0.000021779391,8.8400384e-7,0.000012904305,0.000026844946,0.5543352,0.011717637,0.43359432,0.00018079874],"about_ca_topic_score_codex":0.000043376145,"about_ca_topic_score_gemma":0.000011776385,"teacher_disagreement_score":0.3383152,"about_ca_system_score_codex":0.00020435052,"about_ca_system_score_gemma":0.00016868983,"threshold_uncertainty_score":0.9999986},"labels":[],"label_agreement":null},{"id":"W4409148367","doi":"10.1016/j.tplants.2025.03.003","title":"The plant proteome delivers from discovery to innovation","year":2025,"lang":"en","type":"review","venue":"Trends in Plant Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Mitacs; Grain Farmers of Ontario; Ontario Ministry of Agriculture, Food and Rural Affairs; Canada Foundation for Innovation","keywords":"Proteomics; Leverage (statistics); Data science; Biology; Proteome; Biotechnology; Scientific discovery; Plant science; Plant disease; Computational biology; Computer science; Bioinformatics; Artificial intelligence; Cognitive science","score_opus":0.0468016944504165,"score_gpt":0.3540281399696735,"score_spread":0.30722644551925704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409148367","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003277526,0.9525116,0.0068650376,0.00034826752,0.00033662023,0.0015438985,0.013942163,0.00033819987,0.023786468],"genre_scores_gemma":[0.000045060868,0.9882569,0.0059275674,0.00003847619,0.00006443791,0.0011670634,0.0009306627,0.000013981091,0.0035558627],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982404,0.0000112055095,0.000510906,0.00060686027,0.0002936382,0.0003370046],"domain_scores_gemma":[0.998749,0.00024865702,0.0002563378,0.0006673155,0.000035583853,0.000043116655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000317782,0.000245488,0.00042337578,0.0004861798,0.0003171924,0.00016888558,0.0013511692,0.00012559195,0.00002083693],"category_scores_gemma":[0.00011177062,0.00016551916,0.000067229375,0.003176347,0.00018443618,0.00017195362,0.00033313644,0.00040411612,0.000010461389],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006872802,0.000018914428,0.000004258341,0.00040412878,0.00000643696,0.0000046147543,0.000023695628,0.000006628406,0.00041561635,0.012116219,0.00060651416,0.9863861],"study_design_scores_gemma":[0.000043781267,0.000005984333,0.0000029066748,0.0052468856,0.000025320875,0.000005257137,0.000012891304,0.000033438748,0.001630741,0.0012071764,0.9915254,0.0002602033],"about_ca_topic_score_codex":0.00008274198,"about_ca_topic_score_gemma":0.0000450131,"teacher_disagreement_score":0.9909189,"about_ca_system_score_codex":0.00032754868,"about_ca_system_score_gemma":0.00034507381,"threshold_uncertainty_score":0.6749676},"labels":[],"label_agreement":null},{"id":"W4409431840","doi":"10.1080/14789450.2025.2491355","title":"Recent implementations of data-independent acquisition for cancer biomarker discovery in biological fluids","year":2025,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Biomarker discovery; Computational biology; Biomarker; Biological fluids; Cancer; Computer science; Proteomics; Biology; Medicine; Chemistry; Internal medicine; Chromatography; Biochemistry","score_opus":0.12057345867608828,"score_gpt":0.4784072002418474,"score_spread":0.35783374156575914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409431840","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015881126,0.93276113,0.05559021,0.00016086338,0.00004781786,0.0046289996,0.0066498197,0.000025798521,0.0001337887],"genre_scores_gemma":[2.7696268e-7,0.823215,0.15861829,0.00008769495,0.0000725278,0.011945635,0.0059594647,0.000030604617,0.00007051651],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969729,0.00007066396,0.0018380546,0.00069124287,0.00017166886,0.00025544604],"domain_scores_gemma":[0.997191,0.00023515175,0.0011013238,0.0012665436,0.00016397031,0.000041984877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005495286,0.00039396872,0.001886058,0.00012075794,0.000048649552,0.000013592459,0.0010140167,0.00030736197,0.00031585357],"category_scores_gemma":[0.00017498847,0.0003123847,0.0004211101,0.00040221834,0.00007985076,0.00017232297,0.00050290005,0.00023074022,8.187031e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016797647,0.00014948667,0.0000036237006,0.13748425,0.00009283936,3.4534835e-7,0.0000075201356,1.3236463e-7,0.0021919918,0.00094324484,0.001687911,0.8574219],"study_design_scores_gemma":[0.000183013,0.000019992136,2.8044477e-7,0.122723304,0.00019284565,0.0000021600397,0.000010684758,0.000008729609,0.0030948706,0.00038525162,0.873102,0.0002768477],"about_ca_topic_score_codex":0.000042509862,"about_ca_topic_score_gemma":0.000013684677,"teacher_disagreement_score":0.8714141,"about_ca_system_score_codex":0.0003081164,"about_ca_system_score_gemma":0.0005794568,"threshold_uncertainty_score":0.9999328},"labels":[],"label_agreement":null},{"id":"W4409577468","doi":"10.1016/j.mcpro.2025.100974","title":"SysQuan: Repurposing SILAC Mice for the Cost-Effective Absolute Quantitation of the Human Proteome","year":2025,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; Université de Montréal; Cegep de Saint Hyacinthe; University of Manitoba; Research Manitoba; Jewish General Hospital","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Terry Fox Research Institute; McGill University; Génome Québec; University of Manitoba; Genome Canada","keywords":"Stable isotope labeling by amino acids in cell culture; Repurposing; Proteome; Computational biology; Quantitative proteomics; Chemistry; Proteomics; Computer science; Biology; Biochemistry","score_opus":0.01164708280959296,"score_gpt":0.2938726226010188,"score_spread":0.28222553979142584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409577468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31913757,0.0004962741,0.66964275,0.0005885466,0.00004861774,0.009060735,0.000044445103,0.00008247886,0.00089857914],"genre_scores_gemma":[0.9204028,0.000024856663,0.062655605,0.00017829388,0.000051542556,0.01572955,0.00004750949,0.00006625511,0.00084355305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985804,0.0000525737,0.00046491792,0.0004230785,0.00018784954,0.00029118406],"domain_scores_gemma":[0.9981849,0.00014514505,0.00041162188,0.0009904144,0.00023547983,0.000032429285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003887908,0.00024075044,0.00025076905,0.000051410247,0.00055788277,0.00005867883,0.00067907677,0.00018733802,0.000008121933],"category_scores_gemma":[0.00016258293,0.00018069241,0.00029342144,0.0003228805,0.00019675131,0.00006131401,0.00020197566,0.00035940748,0.0000015868314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034739616,0.000057773876,0.000039259896,0.00027428096,0.00007063214,6.9917087e-7,0.000069311216,0.00077182526,0.9529714,0.044397127,0.000044801003,0.001268129],"study_design_scores_gemma":[0.00042899762,0.000025144343,0.000029442619,0.00019039857,0.00012567213,0.0000020623559,0.00006235927,0.0045406558,0.9700534,0.01829207,0.006065788,0.00018406229],"about_ca_topic_score_codex":0.000057620968,"about_ca_topic_score_gemma":0.0000068569757,"teacher_disagreement_score":0.6069872,"about_ca_system_score_codex":0.00015788602,"about_ca_system_score_gemma":0.000083811006,"threshold_uncertainty_score":0.7368423},"labels":[],"label_agreement":null},{"id":"W4409618264","doi":"10.21769/bioprotoc.5296","title":"Proteome Birthdating: A Single-Sample Approach for Measuring Global Turnover Dynamics and &amp;ldquo;Protein Age&amp;rdquo;","year":2025,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Institute of General Medical Sciences; National Institute on Aging; National Institutes of Health","keywords":"Proteome; Sample (material); Dynamics (music); Protein turnover; Chemistry; Biochemistry; Chromatography; Psychology; Protein biosynthesis","score_opus":0.048121611008013467,"score_gpt":0.3312508432851315,"score_spread":0.283129232277118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409618264","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030594915,0.000003992992,0.6380694,0.00013049247,0.000008471839,0.35052264,0.00036709133,0.00043031492,0.0074081253],"genre_scores_gemma":[0.003601194,1.5701447e-7,0.3921223,0.000039340604,0.000074814,0.6026192,0.00012472091,0.000035444136,0.0013828623],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978039,0.000022172426,0.00057601626,0.0008229966,0.00023493235,0.0005399639],"domain_scores_gemma":[0.9984769,0.000076597265,0.00030031422,0.0008487393,0.00015874841,0.00013870014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025198777,0.00041517313,0.00037869177,0.00007400405,0.00038333848,0.00019683024,0.00046166894,0.0003278195,0.00005322773],"category_scores_gemma":[0.00033925922,0.00041005065,0.00015127876,0.00039661073,0.00016705302,0.00013876619,0.00031755576,0.0002915687,0.0000040209584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011641722,0.0014701058,0.00450552,0.0075078085,0.00019244195,0.0000027659942,0.0001077158,0.00015558816,0.85618496,0.08065221,0.0012311747,0.04682557],"study_design_scores_gemma":[0.005505682,0.00014674128,0.00010302135,0.00075646606,0.00007054323,0.000019472829,0.00010369752,0.0059411204,0.35895854,0.09168819,0.5351046,0.0016019505],"about_ca_topic_score_codex":0.00011416613,"about_ca_topic_score_gemma":0.00011987418,"teacher_disagreement_score":0.5338734,"about_ca_system_score_codex":0.00046680155,"about_ca_system_score_gemma":0.00011011404,"threshold_uncertainty_score":0.99983513},"labels":[],"label_agreement":null},{"id":"W4409866580","doi":"10.1002/pmic.202500019","title":"A Non‐Metaproteomics Researchers’ View on Metaproteomics in Microbiome Research","year":2025,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of General Medical Sciences; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Federation of European Microbiological Societies; University of Ottawa","keywords":"Metaproteomics; Microbiome; Metagenomics; Function (biology); Data science; Computational biology; Proteomics; Gut microbiome; Biology; Bioinformatics; Computer science; Evolutionary biology","score_opus":0.08328038530513254,"score_gpt":0.41073706459148296,"score_spread":0.3274566792863504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409866580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9018229,0.00056542247,0.035129398,0.0040150876,0.00010242944,0.0060975053,0.00015811867,0.00044409957,0.051664993],"genre_scores_gemma":[0.6392013,0.001528338,0.33225545,0.00075845193,0.00019786271,0.012767584,0.0001515791,0.00023926387,0.012900206],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958609,0.00013711545,0.00093545055,0.0012290856,0.00053176464,0.0013057138],"domain_scores_gemma":[0.99715805,0.00030709113,0.0001934185,0.0017554008,0.00038097324,0.00020507483],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002723435,0.00048806475,0.0006580197,0.0010239648,0.00046077083,0.00019719271,0.0015229406,0.0005794653,0.00017656613],"category_scores_gemma":[0.0006690513,0.0005068007,0.0002183803,0.0023186249,0.0004923488,0.00020377879,0.00069868093,0.0026854717,0.00015506773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041910968,0.0007392015,0.0009340127,0.00046228923,0.000074697986,0.000021212933,0.00020409135,0.00019920136,0.9585835,0.030126952,0.00093124417,0.007304525],"study_design_scores_gemma":[0.001325413,0.00009079069,0.00013148334,0.00076701154,0.000015718479,0.0000053986005,0.00014205126,0.0019590557,0.90870327,0.06673324,0.019599194,0.0005273778],"about_ca_topic_score_codex":0.00022350193,"about_ca_topic_score_gemma":0.00007998231,"teacher_disagreement_score":0.29712605,"about_ca_system_score_codex":0.0011630625,"about_ca_system_score_gemma":0.00052922626,"threshold_uncertainty_score":0.99973834},"labels":[],"label_agreement":null},{"id":"W4410056385","doi":"10.1016/j.csbj.2025.04.041","title":"Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates","year":2025,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"Life Sciences Institute; University of British Columbia; Mitacs; Genome British Columbia","keywords":"Imputation (statistics); Missing data; Mass spectrometry; Proteomics; Computer science; Data mining; Environmental science; Statistics; Chemistry; Mathematics; Chromatography","score_opus":0.012142202457936204,"score_gpt":0.2879088774001399,"score_spread":0.2757666749422037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410056385","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33783883,0.00022214222,0.65833515,0.0033600987,0.000021723763,0.00011024747,0.000011387296,0.00007338985,0.000027012273],"genre_scores_gemma":[0.4879792,0.000018550854,0.5118697,0.00008442676,0.00001868321,0.000009485925,0.000011389212,0.000004747272,0.0000037792136],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992706,0.0000072284492,0.000263294,0.00022800955,0.00005755735,0.00017330454],"domain_scores_gemma":[0.999456,0.00013082333,0.00016527149,0.000067533794,0.00013828948,0.000042080603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086929766,0.00014595898,0.00018650609,0.00016499234,0.00055660453,0.00017118164,0.00009048255,0.00018693463,0.0000053700846],"category_scores_gemma":[0.00005867398,0.00013496322,0.000040777402,0.00011586212,0.00023797518,0.00012461754,0.000044820277,0.00036707503,7.233093e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010229035,0.000006559259,0.0005483155,0.00012545034,0.00006582936,0.0000042467504,0.00004969528,0.02900631,0.81112546,0.14998536,0.000017360324,0.008963134],"study_design_scores_gemma":[0.0004015323,0.000021208072,0.00018820514,0.000058042664,0.000017155464,0.00014650311,0.00019869523,0.20143943,0.1716603,0.62573504,0.000025427695,0.000108451044],"about_ca_topic_score_codex":0.0000023756215,"about_ca_topic_score_gemma":4.154974e-7,"teacher_disagreement_score":0.63946515,"about_ca_system_score_codex":0.00006303635,"about_ca_system_score_gemma":0.00012134091,"threshold_uncertainty_score":0.550364},"labels":[],"label_agreement":null},{"id":"W4410134376","doi":"10.1002/imt2.70031","title":"The microbiologist's guide to metaproteomics","year":2025,"lang":"en","type":"review","venue":"iMeta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Canada; University of Ottawa","funders":"Biological and Environmental Research; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Région Occitanie Pyrénées-Méditerranée; CHIST-ERA; Agence Nationale de la Recherche; Vlaamse regering; Universiteit Gent; U.S. Department of Energy; European Commission; Fonds Wetenschappelijk Onderzoek; Minnesota Ovarian Cancer Alliance","keywords":"Metaproteomics; Medicine; Medical physics; Chemistry; Metagenomics","score_opus":0.026479244590504925,"score_gpt":0.38100669102234475,"score_spread":0.3545274464318398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410134376","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.0050248e-7,0.9648805,0.016792875,0.0001620675,0.000053617154,0.0008559165,0.000262604,0.00017223893,0.016820079],"genre_scores_gemma":[2.3616352e-8,0.86051464,0.073126934,0.00007425173,0.000080075544,0.0019134735,0.00011343069,0.000035193912,0.064141974],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985244,0.000027424585,0.00060343085,0.0004763896,0.00006467032,0.00030364963],"domain_scores_gemma":[0.99785733,0.00035690892,0.0002738343,0.0013884715,0.00005930402,0.00006415906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022889886,0.00035945396,0.0008675888,0.000051284955,0.00025702768,0.00011655426,0.0012841345,0.0003047411,0.00005228896],"category_scores_gemma":[0.00021384763,0.00022501149,0.00050185825,0.00028457586,0.000069985785,0.00002725468,0.00044417818,0.0004470604,0.00012142244],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013250133,0.000010048394,6.3121014e-8,0.0022420925,0.000108725835,7.826034e-7,0.0000010208238,4.6403105e-7,0.00023203612,0.005596643,0.01417941,0.9776274],"study_design_scores_gemma":[0.000022335542,0.0000031729915,4.550427e-9,0.0016925148,0.0003319875,0.0000074589702,0.0000020682085,3.5315904e-7,0.0023147373,0.0008896869,0.99449354,0.00024211817],"about_ca_topic_score_codex":0.0000160198,"about_ca_topic_score_gemma":0.0000049932823,"teacher_disagreement_score":0.98031414,"about_ca_system_score_codex":0.00013956043,"about_ca_system_score_gemma":0.00021431912,"threshold_uncertainty_score":0.91757023},"labels":[],"label_agreement":null},{"id":"W4410225224","doi":"10.1021/acs.jproteome.4c00973","title":"To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"European Research Council; Bundesministerium für Bildung und Forschung; Elitenetzwerk Bayern; Karl Pedersens og Hustrus Industrifond","keywords":"On the fly; Mass spectrometry; Peptide; Artificial intelligence; Computer science; Chemistry; Chromatography; Biochemistry","score_opus":0.06950142993993372,"score_gpt":0.4301973200729192,"score_spread":0.36069589013298553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410225224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21407156,0.0000447392,0.77564555,0.008196731,0.000014862604,0.0014489081,0.000019748402,0.000032611773,0.00052528956],"genre_scores_gemma":[0.7497556,0.000049198115,0.24345906,0.00010936438,0.00016458397,0.001218208,0.0000014575328,0.00002440322,0.0052181124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99801064,0.00010321963,0.00051855325,0.0003099338,0.0006119847,0.00044568532],"domain_scores_gemma":[0.9982581,0.00043716116,0.00014451829,0.00040750828,0.0005992549,0.00015344452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034499548,0.00013658147,0.0002517605,0.00045595493,0.00033235227,0.00009939832,0.0005979956,0.00014027237,0.000111895584],"category_scores_gemma":[0.0014949997,0.00009858066,0.000122134,0.0009881698,0.000060735245,0.00015049944,0.00019639949,0.0013979825,0.0000064706933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023871064,0.00016105478,0.0042754402,0.0004136268,0.000053717817,0.0000064509054,0.0007988411,0.009769137,0.9687633,0.0010359316,0.0007598613,0.011575551],"study_design_scores_gemma":[0.0007297452,0.0004594801,0.0013063542,0.00049468677,0.00002043108,0.000021649445,0.00081932277,0.08443001,0.86395997,0.04411574,0.0034549425,0.00018769674],"about_ca_topic_score_codex":0.000030030971,"about_ca_topic_score_gemma":0.000039263356,"teacher_disagreement_score":0.53568405,"about_ca_system_score_codex":0.0007629455,"about_ca_system_score_gemma":0.00028444966,"threshold_uncertainty_score":0.60736156},"labels":[],"label_agreement":null},{"id":"W4410256586","doi":"10.1101/2025.05.06.652368","title":"Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada); Spinal Cord Injury BC","funders":"Bundesministerium für Bildung und Forschung","keywords":"Throughput; Trap (plumbing); Zeno's paradoxes; Quantum Zeno effect; Proteomics; Computer science; Nanotechnology; Chemistry; Materials science; Physics; Mathematics; Telecommunications; Biochemistry","score_opus":0.015630632709249907,"score_gpt":0.2532842460390943,"score_spread":0.23765361332984436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410256586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94950294,0.00014512724,0.045344125,0.000088153,0.0001039309,0.0012459053,0.0033084902,0.00022165284,0.000039639865],"genre_scores_gemma":[0.7745423,0.0005838667,0.22372366,0.000031127114,0.00010186994,0.0009228299,0.0000045473007,0.0000677653,0.0000220581],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802685,0.000020080028,0.0006030261,0.000824906,0.00015838155,0.00036675192],"domain_scores_gemma":[0.997528,0.0001526035,0.00079723186,0.0007975374,0.00061916956,0.00010544068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022836818,0.00046990835,0.00069762964,0.00010574536,0.00027810514,0.000050814484,0.00030883524,0.00048748506,0.00000795918],"category_scores_gemma":[0.00013869177,0.0005390734,0.00011861996,0.00017141603,0.00022933594,0.00009904727,0.00054590794,0.00051430153,0.0000015429393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014362187,0.00006557892,0.0021714242,0.0024173995,0.00013193018,0.0000020831965,0.000037937658,0.0000341977,0.99031574,0.004638393,0.0000290174,0.000012676477],"study_design_scores_gemma":[0.0003568372,0.000044733548,0.0071819113,0.0010741805,0.00013516046,1.7854399e-8,0.0000067846227,0.002280976,0.9876566,0.000023623921,0.000701906,0.0005372596],"about_ca_topic_score_codex":0.000021567132,"about_ca_topic_score_gemma":9.875074e-7,"teacher_disagreement_score":0.17837954,"about_ca_system_score_codex":0.00027680205,"about_ca_system_score_gemma":0.00024051237,"threshold_uncertainty_score":0.9997061},"labels":[],"label_agreement":null},{"id":"W4410317678","doi":"10.1021/acs.jproteome.4c00963","title":"ProteoPlotter: An Executable Proteomics Visualization Tool Compatible with Perseus","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Executable; Visualization; Proteomics; Computer science; Computational biology; Biology; Data mining; Programming language; Genetics","score_opus":0.04315564992084182,"score_gpt":0.4102176298775911,"score_spread":0.3670619799567493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410317678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7021359,0.000120490535,0.28934965,0.00090387714,0.000020807905,0.0021184525,0.000015000997,0.00010386785,0.005231902],"genre_scores_gemma":[0.69075036,0.00013593631,0.3035727,0.00005632853,0.00026449733,0.0012743719,0.000016809001,0.00007350669,0.0038555074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976467,0.000112819784,0.00062801165,0.00031261327,0.00081042334,0.0004894208],"domain_scores_gemma":[0.99730897,0.00007801062,0.0003623984,0.00054813694,0.0015571228,0.0001453914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001482846,0.00019168078,0.00034374924,0.0004704736,0.00040534025,0.00020422433,0.0006727506,0.00016463822,0.00018929414],"category_scores_gemma":[0.00018222004,0.00015327797,0.000077960045,0.0009578364,0.00019028483,0.00057047413,0.00013665343,0.0010450943,0.000008268959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007318759,0.00058861455,0.0026651376,0.0005293659,0.000075115044,0.0000326945,0.00027703305,0.00029968141,0.9816572,0.010037027,0.0006186947,0.0024875589],"study_design_scores_gemma":[0.0012334584,0.0007098456,0.00013294208,0.00072632905,0.000025296686,0.0001272346,0.00055400596,0.0029250185,0.96707165,0.0149272755,0.011299071,0.00026784354],"about_ca_topic_score_codex":0.000042121355,"about_ca_topic_score_gemma":0.000006034224,"teacher_disagreement_score":0.014585522,"about_ca_system_score_codex":0.0003496352,"about_ca_system_score_gemma":0.000703608,"threshold_uncertainty_score":0.6250494},"labels":[],"label_agreement":null},{"id":"W4410547977","doi":"10.1080/14789450.2025.2504994","title":"Optimization of bottom-up proteomic sample preparation by design of experiments for absolute quantification of 257 proteins in human plasma using UPLC-MRM-MS","year":2025,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Chromatography; Human plasma; Chemistry; Quantitative proteomics; Sample preparation; Proteomics; Analytical Chemistry (journal); Biochemistry","score_opus":0.04626114814201445,"score_gpt":0.38665196103860017,"score_spread":0.34039081289658574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410547977","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04363162,0.0031950385,0.94575775,0.000056438716,0.000020395042,0.0071119308,0.00014608595,0.00002747196,0.00005328917],"genre_scores_gemma":[0.049462497,0.0037222423,0.9416941,0.000015916734,0.000015921478,0.0047410456,0.0002490338,0.000035632285,0.00006362296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976011,0.00006065347,0.0015836877,0.0003793729,0.00019245475,0.00018274682],"domain_scores_gemma":[0.99729294,0.00007757542,0.0015928646,0.0006439995,0.00036402562,0.000028582434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050802744,0.00022624704,0.0006850516,0.00012201398,0.00006612662,0.000007037747,0.00035180832,0.00022691523,0.00003705341],"category_scores_gemma":[0.00027615123,0.00023897317,0.000145405,0.00031165857,0.00011744256,0.00016394981,0.0000666041,0.00014234085,1.1906369e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017553274,0.00027648354,0.00003104341,0.005943089,0.000028561237,2.1389397e-8,0.00016281047,0.0056796856,0.9858295,0.0013538396,0.00014566207,0.00037381696],"study_design_scores_gemma":[0.00059920375,0.0001025761,0.0000012557082,0.0053777746,0.00002907241,4.4781098e-7,0.000032253305,0.049101576,0.943617,0.0008399993,0.00013641866,0.00016244286],"about_ca_topic_score_codex":0.00020500146,"about_ca_topic_score_gemma":0.0000017002199,"teacher_disagreement_score":0.04342189,"about_ca_system_score_codex":0.0001556631,"about_ca_system_score_gemma":0.00018235185,"threshold_uncertainty_score":0.9745043},"labels":[],"label_agreement":null},{"id":"W4410642778","doi":"10.1142/s0219720025500076","title":"An algorithm for peptide de novo sequencing from a group of SILAC labeled MS/MS spectra","year":2025,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Shotgun proteomics; Tandem mass spectrometry; Proteomics; Peptide; Mass spectrometry; Computational biology; Chemistry; Bottom-up proteomics; Peptide sequence; Shotgun; Biology; Chromatography; Protein mass spectrometry; Biochemistry","score_opus":0.01027624271425914,"score_gpt":0.28816092053916004,"score_spread":0.2778846778249009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410642778","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22704427,0.000083459025,0.7722468,0.00010598336,0.000019444244,0.000058960413,0.00014888692,0.000008572144,0.00028364488],"genre_scores_gemma":[0.1976627,0.000057794045,0.80196935,0.00014181639,0.00005910614,0.000007394063,0.000087551954,0.0000038018577,0.000010471526],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925935,0.000006677332,0.0005176806,0.00006117546,0.00005099923,0.0001041268],"domain_scores_gemma":[0.9990847,0.000205425,0.00041807943,0.0000713081,0.00017571184,0.000044773416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015036981,0.00007971981,0.00020188358,0.00007296363,0.00006184686,0.000015326887,0.00013161426,0.000085732434,0.00001442548],"category_scores_gemma":[0.00002133036,0.0000694207,0.00006181189,0.00006225071,0.000060787745,0.000087345696,0.000023168173,0.00011692366,1.8198675e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028570602,0.00039691242,0.0036479426,0.0004811636,0.00062263774,0.0000051095394,0.0014768683,0.009317867,0.5353606,0.16674122,0.00053069484,0.2811333],"study_design_scores_gemma":[0.0011888338,0.00026237828,0.00022306688,0.00011645317,0.000054696775,0.000064642845,0.000393535,0.5660077,0.04265111,0.38724425,0.0016489195,0.00014441676],"about_ca_topic_score_codex":0.000013587177,"about_ca_topic_score_gemma":0.0000023239702,"teacher_disagreement_score":0.55668986,"about_ca_system_score_codex":0.0000561912,"about_ca_system_score_gemma":0.00012284015,"threshold_uncertainty_score":0.2830894},"labels":[],"label_agreement":null},{"id":"W4410664907","doi":"10.1101/2025.05.22.655591","title":"Optimization of Bio-Orthogonal Non-Canonical Amino acid Tagging (BONCAT) for effective low-disruption labelling of Arabidopsis proteins <i>in vivo</i>","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proteome; Arabidopsis; Amino acid; Computational biology; Methionine; Labelling; Biochemistry; Amino acid residue; Biology; Chemistry; Peptide sequence; Gene; Mutant","score_opus":0.007914007939824498,"score_gpt":0.24468141460742013,"score_spread":0.23676740666759563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410664907","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45891654,0.0002432043,0.5363543,0.00006380367,0.00009060344,0.002627804,0.0014711217,0.00017823848,0.00005435355],"genre_scores_gemma":[0.7705055,0.0001755963,0.2257827,0.000022602531,0.00010787242,0.0033243268,0.000004120583,0.00006893259,0.000008344106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974323,0.000038547605,0.0009655993,0.00091203366,0.00025095043,0.00040059362],"domain_scores_gemma":[0.997182,0.0001556185,0.001012043,0.00095347944,0.00059883913,0.00009801086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044012026,0.0004703661,0.0007825169,0.00028165992,0.00009834923,0.000034211953,0.000493555,0.000694246,0.00003494564],"category_scores_gemma":[0.00018233167,0.00056147267,0.00025869888,0.00052644464,0.00014356962,0.00010979667,0.00031941492,0.000607812,9.0151264e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010881708,0.00028053703,0.0016447752,0.0027531236,0.000079066536,0.000001381129,0.000009839121,0.019607194,0.974428,0.0010620309,0.000011940016,0.000013288849],"study_design_scores_gemma":[0.00063750596,0.00003594865,0.00028398543,0.0021615834,0.00010452465,7.654404e-9,0.0000029958376,0.022957457,0.97312236,0.000022408629,0.00022399878,0.0004472129],"about_ca_topic_score_codex":0.000038378,"about_ca_topic_score_gemma":0.0000031343588,"teacher_disagreement_score":0.31158894,"about_ca_system_score_codex":0.00038884248,"about_ca_system_score_gemma":0.0005465892,"threshold_uncertainty_score":0.9996837},"labels":[],"label_agreement":null},{"id":"W4410774925","doi":"10.1016/j.mcpro.2025.101000","title":"A Method for Comparing Proteins Measured in Serum and Plasma by Olink Proximity Extension Assay","year":2025,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Pennsylvania Department of Health; National Institute of Child Health and Human Development; Alex's Lemonade Stand Foundation for Childhood Cancer","keywords":"Extension (predicate logic); Blood proteins; Computational biology; Chemistry; Computer science; Biology; Biochemistry","score_opus":0.013071070263484095,"score_gpt":0.2764976852488539,"score_spread":0.2634266149853698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410774925","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3363175,0.00024679376,0.6602729,0.0003983651,0.000009853596,0.0020782312,0.000033307515,0.00011481839,0.0005282399],"genre_scores_gemma":[0.41279972,0.000019699384,0.5842598,0.000092772134,0.000013265004,0.0024001491,0.00006311512,0.00004518779,0.00030630722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818385,0.000070243215,0.0004555327,0.0007167416,0.00016259139,0.00041106777],"domain_scores_gemma":[0.99898964,0.000056136214,0.00017287632,0.00057464966,0.00011772114,0.00008897627],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069990853,0.0003038269,0.00041692358,0.00010019502,0.00017687673,0.00006823639,0.00028762023,0.0003106899,0.0000056239455],"category_scores_gemma":[0.00013991476,0.00033625125,0.00010872194,0.00023220057,0.00006265928,0.00008672789,0.00020468493,0.0004329178,0.0000010461534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008636708,0.00011810725,0.00036358798,0.0003050878,0.000027201699,0.0000053270305,0.000034401357,0.00017383076,0.9897951,0.0046743103,0.000042880958,0.0043737995],"study_design_scores_gemma":[0.0010509057,0.000020327794,0.000012197855,0.00015816554,0.00003388797,0.0000045762413,0.000020746558,0.06372162,0.91288346,0.019146392,0.0026473836,0.00030035945],"about_ca_topic_score_codex":0.00005187959,"about_ca_topic_score_gemma":0.00001692614,"teacher_disagreement_score":0.07691166,"about_ca_system_score_codex":0.00015601682,"about_ca_system_score_gemma":0.000085530264,"threshold_uncertainty_score":0.9999089},"labels":[],"label_agreement":null},{"id":"W4411006759","doi":"10.1101/2025.05.30.657054","title":"De Novo sequencing-assisted homology search for DIA data analysis enables low abundance peptide variants discovery","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"","keywords":"Computational biology; Homology (biology); Biology; Genetics; Gene","score_opus":0.031287239081579536,"score_gpt":0.2878083553621473,"score_spread":0.25652111628056773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411006759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3386437,0.0005064642,0.6468286,0.0002151092,0.0001203839,0.0008624164,0.012157555,0.0005788174,0.000086950546],"genre_scores_gemma":[0.7813755,0.00045899104,0.21586953,0.00014897282,0.00030894292,0.0014744949,0.000051765677,0.00010775369,0.00020400053],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960824,0.000068127636,0.0007316919,0.0019776516,0.00026994484,0.00087015744],"domain_scores_gemma":[0.9938083,0.0002930443,0.00049649447,0.0047030733,0.00047740104,0.00022163182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007265148,0.00061645085,0.000911611,0.00035530148,0.00034406228,0.00038930651,0.0024063685,0.00080652395,0.000055246404],"category_scores_gemma":[0.00030227107,0.0007146473,0.00029974335,0.00097639865,0.00020431964,0.00029096496,0.0019441788,0.0009976228,0.0000056425274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059466965,0.00018106375,0.004958939,0.0015220643,0.0011920416,0.000036330235,0.000008092608,0.0012188264,0.986336,0.004236876,0.0002417652,0.000008525095],"study_design_scores_gemma":[0.00050320535,0.000016271866,0.0045230226,0.00063150655,0.0013892626,8.636122e-8,0.000007922201,0.00959305,0.9782909,0.00010330302,0.0037932543,0.0011481774],"about_ca_topic_score_codex":0.00026142522,"about_ca_topic_score_gemma":0.000034113695,"teacher_disagreement_score":0.44273186,"about_ca_system_score_codex":0.0009789899,"about_ca_system_score_gemma":0.0021125556,"threshold_uncertainty_score":0.99953043},"labels":[],"label_agreement":null},{"id":"W4411037438","doi":"10.1021/jasms.4c00489","title":"Development and Characterization of a Fluorinated MS-Cleavable Cross-Linker for Structural Proteomics","year":2025,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Martin-Luther-Universität Halle-Wittenberg; Bundesministerium für Wirtschaft und Energie; Deutsche Forschungsgemeinschaft","keywords":"Chemistry; Proteomics; Linker; Characterization (materials science); Mass spectrometry; Computational biology; Nanotechnology; Combinatorial chemistry; Chromatography; Biochemistry","score_opus":0.009605087338931102,"score_gpt":0.2943838008923655,"score_spread":0.28477871355343437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411037438","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83181185,0.000031708398,0.16744737,0.00030345586,0.000028046332,0.00027717938,0.000048397636,0.000012311834,0.000039680002],"genre_scores_gemma":[0.3962129,0.000059017904,0.60308486,0.00008771718,0.00006132883,0.000057338326,0.0000075545395,0.000014450921,0.0004148444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920094,0.000003548707,0.0004095202,0.00012049882,0.0001068215,0.00015864444],"domain_scores_gemma":[0.99857444,0.00005210013,0.00095650536,0.00015990536,0.00022731895,0.00002974175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016384476,0.00010864276,0.0002729382,0.000037104088,0.00017217724,0.00003024237,0.00024577283,0.00004981919,0.000006020823],"category_scores_gemma":[0.0000413201,0.000083011444,0.00029238846,0.00030633237,0.00015720479,0.00008021111,0.000055663088,0.00016657342,3.325893e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110206376,0.000019335914,0.0018781002,0.00014130096,0.00013966375,3.188454e-8,0.000067571236,0.0000061814876,0.99506897,0.00096998794,0.00006853737,0.0015301437],"study_design_scores_gemma":[0.0005163921,0.00005204182,0.0036007946,0.00005647156,0.00004994416,0.0000050439453,0.00015479767,0.0004952011,0.9849782,0.005317362,0.004679371,0.00009437507],"about_ca_topic_score_codex":0.0000019903314,"about_ca_topic_score_gemma":1.6124187e-7,"teacher_disagreement_score":0.4356375,"about_ca_system_score_codex":0.00018041827,"about_ca_system_score_gemma":0.000118020966,"threshold_uncertainty_score":0.33851084},"labels":[],"label_agreement":null},{"id":"W4411150076","doi":"10.1158/2159-8290.cd-24-1488","title":"Federated Deep Learning Enables Cancer Subtyping by Proteomics","year":2025,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; McGill University; CancerCare Manitoba; Jewish General Hospital","funders":"National Cancer Institute; Agència de Gestió d'Ajuts Universitaris i de Recerca; Cancer Council Victoria; Cancer Council NSW; National Health and Medical Research Council; Horizon 2020 Framework Programme; CRIS Cancer Foundation; Medical Research Council; NSW Ministry of Health; Cancer Institute NSW; University of Sydney; Australian Cancer Research Foundation; State Government of Victoria; European Commission; Fondation du cancer du sein du Québec; Children's Medical Research; National Breast Cancer Foundation; David and Elaine Potter Foundation; AstraZeneca; Tour de Cure; U.S. Department of Health and Human Services","keywords":"Computer science; Generalizability theory; Subtyping; Replicate; Biomedicine; Machine learning; Artificial intelligence; Matching (statistics); Data mining; Bioinformatics; Medicine; Biology","score_opus":0.008372419420359248,"score_gpt":0.2838279326398147,"score_spread":0.27545551321945544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411150076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56747454,0.012759376,0.39487156,0.0015325621,0.00016421983,0.00061985705,0.00022461674,0.0006270339,0.021726236],"genre_scores_gemma":[0.944145,0.0067685856,0.003183097,0.00054684986,0.00019051041,0.0036994396,0.00013448132,0.00006231221,0.041269694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989662,0.000009739066,0.00023119108,0.00039267895,0.000089054236,0.00031112533],"domain_scores_gemma":[0.99953514,0.00003396502,0.00012970995,0.00018830599,0.00006660268,0.000046250792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046178437,0.00019192004,0.0001986907,0.000034595952,0.00035438963,0.00016632325,0.00018906128,0.0001312705,0.0002705819],"category_scores_gemma":[0.000023640965,0.00019675844,0.00006612196,0.00022107764,0.000066206434,0.0002677586,0.0000979173,0.0003644452,0.000003347398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006930237,0.0000490061,0.0102240825,0.00026958,0.000088335924,0.000001199554,0.000058325048,0.0019733196,0.95676833,0.0020424274,0.004239842,0.024216272],"study_design_scores_gemma":[0.00030574668,0.0000045052634,0.00004621369,0.0003110913,0.00003308317,5.157783e-7,0.000152056,0.0023200547,0.9210067,0.0019387054,0.073593974,0.00028740658],"about_ca_topic_score_codex":0.0005452492,"about_ca_topic_score_gemma":0.00011047417,"teacher_disagreement_score":0.39168847,"about_ca_system_score_codex":0.00037907434,"about_ca_system_score_gemma":0.00018489317,"threshold_uncertainty_score":0.8023576},"labels":[],"label_agreement":null},{"id":"W4411274844","doi":"10.1016/j.jbc.2025.109920","title":"Abstract 1725 Exploring the Role of Phosphorylation in Malate Dehydrogenase: Enzymatic Analysis of Phosphomimetic Mutant S227D","year":2025,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Malate dehydrogenase; Mutant; Phosphorylation; Enzyme; Biochemistry; Chemistry; Dehydrogenase; Cell biology; Biology; Gene","score_opus":0.0191320214509115,"score_gpt":0.26912105723422247,"score_spread":0.24998903578331097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411274844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672544,0.001116864,0.0005680838,0.000048680286,0.0000075256576,0.000053909844,0.000018676803,0.0000095106625,0.0014512851],"genre_scores_gemma":[0.99760574,0.00065141206,0.0016603705,0.0000086153495,0.000016494032,0.00002293397,0.000008073216,0.0000048320335,0.00002154516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986952,0.0000098726005,0.00088574464,0.00013708245,0.00013492665,0.00013716299],"domain_scores_gemma":[0.9986098,0.0002341243,0.00074866036,0.0002591505,0.000110387664,0.000037912465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003172356,0.00012367476,0.0004350157,0.000067211055,0.00003221271,0.0000073993465,0.00034624504,0.00013069091,0.0002470135],"category_scores_gemma":[0.00016129602,0.000081815284,0.00027897165,0.000599761,0.00010344487,0.000045235352,0.000060875373,0.00033380382,2.9366433e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007454554,0.00012462735,0.014883648,0.000070444235,0.00020286076,0.0000026847947,0.00003534107,0.0012156424,0.9808304,0.00014703434,0.0000016906159,0.0024111248],"study_design_scores_gemma":[0.00017302936,0.000010421381,0.0047168536,0.00013005832,0.00016366053,0.0000037165037,0.00025593644,0.0009273571,0.9890173,0.0043966197,0.00013176055,0.00007327386],"about_ca_topic_score_codex":0.000013281461,"about_ca_topic_score_gemma":8.9673597e-7,"teacher_disagreement_score":0.010166794,"about_ca_system_score_codex":0.00007591178,"about_ca_system_score_gemma":0.00004453414,"threshold_uncertainty_score":0.33363304},"labels":[],"label_agreement":null},{"id":"W4411310018","doi":"10.1007/978-1-0716-4615-1_14","title":"Identification of Virus–Host Protein Interactions Via Proteomic Techniques","year":2025,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Host (biology); Identification (biology); Computational biology; Host factors; Biology; Virus; Virology; Genetics; Ecology","score_opus":0.013413950834549394,"score_gpt":0.41593374734157423,"score_spread":0.40251979650702485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411310018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027537536,0.000072122064,0.9683714,0.00020505082,0.000021212663,0.00061643287,0.00001764993,0.0001133715,0.003045206],"genre_scores_gemma":[0.08395528,0.000019158355,0.9133244,0.000050497525,0.000010114373,0.0021694442,0.000019051493,0.0000145561235,0.00043749608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988058,0.00015420033,0.0005286867,0.00032399537,0.000033138516,0.00015417706],"domain_scores_gemma":[0.9991007,0.000060044247,0.00023002249,0.00051600335,0.00007567977,0.00001759484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047667068,0.00012683956,0.0002201402,0.0001956125,0.000041809384,0.0000070900937,0.0002917905,0.0001822184,0.000051190444],"category_scores_gemma":[0.0002125013,0.0001331447,0.00007529944,0.00032446947,0.00012893358,0.00003122072,0.00012050182,0.00028109853,0.0000015101253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014742619,0.00007037815,0.00014285558,0.000052107174,0.0000128388465,4.4143889e-7,0.000011049752,0.0000023016378,0.94370526,0.02807108,0.0000034492148,0.027913522],"study_design_scores_gemma":[0.00006775747,0.000010272489,0.000015463429,0.000052371324,0.000008006757,0.0000016402461,0.000006321087,0.0001806458,0.8553562,0.14130381,0.002907344,0.00009015505],"about_ca_topic_score_codex":0.00006414236,"about_ca_topic_score_gemma":0.0000049293626,"teacher_disagreement_score":0.11323273,"about_ca_system_score_codex":0.00008200801,"about_ca_system_score_gemma":0.000036174395,"threshold_uncertainty_score":0.5429483},"labels":[],"label_agreement":null},{"id":"W4411573839","doi":"10.1016/j.expneurol.2025.115361","title":"Sex-specific proteomic analysis of epileptic brain tissues from Pten knockout mice and human refractory epilepsy","year":2025,"lang":"en","type":"article","venue":"Experimental Neurology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Southern Methodist University; Saint Mary’s University","keywords":"Epilepsy; KEGG; PTEN; Cortical dysplasia; Knockout mouse; Biology; Medicine; Proteome; Bioinformatics; Neuroscience; Gene; Genetics; Gene expression; Transcriptome","score_opus":0.011724260004477008,"score_gpt":0.30316400180243286,"score_spread":0.29143974179795584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411573839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944182,0.0008749846,0.00048997736,0.0003139265,0.000023319439,0.0002162043,0.000082900006,0.00010377653,0.0034766928],"genre_scores_gemma":[0.9957098,0.000052990068,0.002725187,0.00033444708,0.000042406256,0.00024507925,0.00015861983,0.000020754882,0.0007107214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988094,0.000042433276,0.00036189327,0.0005221191,0.00007422047,0.00018992336],"domain_scores_gemma":[0.9991653,0.00012600678,0.0001597145,0.00048032572,0.00001876484,0.00004987945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048052127,0.00018264377,0.00040926127,0.00015663705,0.00011396687,0.000012587662,0.0002439433,0.00016818469,0.00053395226],"category_scores_gemma":[0.0000071257773,0.0002002107,0.000097440556,0.00021236937,0.00027119977,0.000044710152,0.00018420769,0.00023947256,0.0000059195304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063244275,0.00015329682,0.003912637,0.00000877714,0.0001490652,0.000003961101,0.00020431752,0.0000069803846,0.99171853,0.0030971703,0.0002347957,0.00044721048],"study_design_scores_gemma":[0.0003566941,0.00008972874,0.0014323724,0.000008432989,0.00005610724,0.0000017761741,0.00014110579,0.00020287969,0.98766977,0.002313515,0.0075734607,0.00015415373],"about_ca_topic_score_codex":0.00017782785,"about_ca_topic_score_gemma":0.000010554487,"teacher_disagreement_score":0.007338665,"about_ca_system_score_codex":0.00003087909,"about_ca_system_score_gemma":0.00001056801,"threshold_uncertainty_score":0.8164356},"labels":[],"label_agreement":null},{"id":"W4411589198","doi":"10.1016/j.jmccpl.2025.100379","title":"Proteomic profiling of human heart failure reveals specific and shared molecular responses across etiologies","year":2025,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology Plus","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Ted Rogers Centre for Heart Research; University of Toronto","funders":"","keywords":"Profiling (computer programming); Etiology; Computational biology; Heart failure; Biology; Bioinformatics; Medicine; Computer science; Internal medicine","score_opus":0.013414984435669356,"score_gpt":0.2923472754513458,"score_spread":0.27893229101567646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411589198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94777834,0.007167951,0.044150624,0.00035385785,0.000019997597,0.00022225149,0.000031402666,0.00002111917,0.000254482],"genre_scores_gemma":[0.969728,0.00029369505,0.029766038,0.00005142434,0.000037196038,0.000034884502,0.000011688512,0.000016249609,0.000060823906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987707,0.000104557104,0.0005353584,0.0002580867,0.00010846895,0.00022283131],"domain_scores_gemma":[0.99908245,0.000053759726,0.00031888756,0.0003101927,0.00017465433,0.000060087088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004634437,0.00017929288,0.0006024655,0.000088619,0.00012706737,0.0000266592,0.00019940033,0.00025176222,0.0000051041425],"category_scores_gemma":[0.00009344965,0.00016424942,0.00020266532,0.00009898514,0.00028727844,0.00005050683,0.0001607913,0.0004011289,2.4265015e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012106799,0.0000100842835,0.0031265675,0.00012303027,0.00012663375,0.000085955064,0.000040899442,0.00009370012,0.9940772,0.0019338536,0.00008953435,0.00017149486],"study_design_scores_gemma":[0.00059373636,0.0000910797,0.00029775515,0.0001343684,0.000065732966,0.00017067663,0.00023226226,0.000007930566,0.9878111,0.009173387,0.0012842885,0.0001376833],"about_ca_topic_score_codex":0.0000021962237,"about_ca_topic_score_gemma":1.0024044e-7,"teacher_disagreement_score":0.021949684,"about_ca_system_score_codex":0.00004205757,"about_ca_system_score_gemma":0.00006088795,"threshold_uncertainty_score":0.6697897},"labels":[],"label_agreement":null},{"id":"W4411589277","doi":"10.1016/j.jmccpl.2025.100451","title":"Real-Time TIMSrescore: timsTOF-optimized PSM Rescoring Boosts Identification Rates of Modified and Unmodified Peptide and Protein Identifications Using Collisional Cross Section, Retention Time, and Fragmentation Patterns, in Real-Time","year":2025,"lang":"en","type":"article","venue":"Journal of Molecular and Cellular Cardiology Plus","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Fragmentation (computing); Retention time; Identification (biology); Chemistry; Chromatography; Computer science; Biology; Operating system","score_opus":0.014398802992117666,"score_gpt":0.2884824570034818,"score_spread":0.27408365401136414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411589277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95190746,0.00053024286,0.04680154,0.000056885845,0.000025238855,0.00039618075,0.0000384437,0.0000173431,0.00022666306],"genre_scores_gemma":[0.9879897,0.0010142507,0.010132846,0.0000056916965,0.000038888167,0.000047893573,0.000105293984,0.000020627147,0.00064480916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99844176,0.00013250482,0.0007685074,0.00034477081,0.00015566841,0.00015679342],"domain_scores_gemma":[0.99882424,0.00007340127,0.00056807813,0.0002210496,0.00024519797,0.000068020534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006248959,0.00017541976,0.00044264746,0.00023282508,0.00017671354,0.00007239889,0.00009435841,0.00021581957,0.000008265264],"category_scores_gemma":[0.00007106689,0.00018583996,0.000080570004,0.00015860965,0.00017946248,0.00019231647,0.00008651252,0.0002296683,4.0082207e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024208205,0.000020757689,0.0014523937,0.00012200649,0.00008468504,0.000015636066,0.000065636654,0.004046604,0.99354595,0.00020206744,0.000015793914,0.00018641095],"study_design_scores_gemma":[0.0027902436,0.000069818794,0.008962285,0.00056508597,0.0002727914,0.00018450253,0.0001325397,0.040671688,0.9420044,0.00402137,0.000021693992,0.00030361666],"about_ca_topic_score_codex":0.000075606724,"about_ca_topic_score_gemma":0.0000011978678,"teacher_disagreement_score":0.05154156,"about_ca_system_score_codex":0.000102912774,"about_ca_system_score_gemma":0.0000743392,"threshold_uncertainty_score":0.75783336},"labels":[],"label_agreement":null},{"id":"W4411710436","doi":"10.1101/2025.06.20.660691","title":"MassNet: billion-scale AI-friendly mass spectral corpus enables robust <i>de novo</i> peptide sequencing","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Westlake University","keywords":"Scale (ratio); Environmentally friendly; Computer science; Computational biology; Biology; Geography; Cartography; Ecology","score_opus":0.01181141503754162,"score_gpt":0.22769512540034686,"score_spread":0.21588371036280524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411710436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56991994,0.0015592877,0.41586912,0.0010676003,0.0006539557,0.0017067943,0.0034569814,0.003770078,0.00199626],"genre_scores_gemma":[0.629594,0.0011510676,0.3656674,0.00046107074,0.00092440046,0.0015417193,0.000005689049,0.00026241774,0.00039217414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99599206,0.000049151917,0.00085640367,0.0016067589,0.00040505294,0.001090587],"domain_scores_gemma":[0.99618685,0.00009495985,0.0006018321,0.002284354,0.00045629693,0.00037573255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040540608,0.0008936487,0.0007919269,0.00025186435,0.0003781175,0.00031662465,0.0012736488,0.0010307126,0.0002017944],"category_scores_gemma":[0.00009733431,0.0010389355,0.00032502398,0.0006112813,0.00020345347,0.00019187135,0.0007009514,0.0020139776,0.000035562734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026655487,0.00008376396,0.0030493713,0.0008143586,0.00009450313,0.0000589264,0.000009801442,0.002918979,0.98930883,0.0029997965,0.00063191686,0.0000030813364],"study_design_scores_gemma":[0.0003497941,0.000017779423,0.00018746674,0.00086456497,0.00013661677,1.4364798e-7,0.00001083627,0.0013526035,0.97305804,0.00018365729,0.022706265,0.0011322396],"about_ca_topic_score_codex":0.00016911207,"about_ca_topic_score_gemma":0.000010824992,"teacher_disagreement_score":0.05967412,"about_ca_system_score_codex":0.0016717121,"about_ca_system_score_gemma":0.0014681001,"threshold_uncertainty_score":0.99920607},"labels":[],"label_agreement":null},{"id":"W4411964794","doi":"10.3390/proteomes13030030","title":"SDS Depletion from Intact Membrane Proteins by KCl Precipitation Ahead of Mass Spectrometry Analysis","year":2025,"lang":"en","type":"article","venue":"Proteomes","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Mass spectrometry; Chemistry; Chromatography; Precipitation; Meteorology; Physics","score_opus":0.006482318796256685,"score_gpt":0.2689066687142429,"score_spread":0.26242434991798624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411964794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4980902,0.00023418048,0.49630845,0.0003404911,0.000010961002,0.00067284267,0.00025384684,0.00017895116,0.003910077],"genre_scores_gemma":[0.8265756,0.00009186089,0.17087594,0.000022904918,0.000032122727,0.0010710951,0.00039211137,0.00001776196,0.0009206099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987585,0.000022074197,0.00042764985,0.00040115239,0.00020057849,0.00019004605],"domain_scores_gemma":[0.9989919,0.00007524796,0.00027062264,0.0005182667,0.00010000749,0.000043934702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012096492,0.00017633948,0.0003290059,0.0002274375,0.00008609031,0.0000314701,0.0002759439,0.00016191069,0.00087972794],"category_scores_gemma":[0.000083474195,0.00017897021,0.00016192276,0.00090155425,0.000055903354,0.00011379075,0.00005588825,0.0002111895,0.000009892786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003360335,0.000089929104,0.013484377,0.00011036761,0.0002923034,2.4070962e-7,0.000042220974,0.000042770294,0.9830844,0.0011434611,0.00008741202,0.0015889602],"study_design_scores_gemma":[0.00023776507,0.000020001486,0.0017601481,0.00005056023,0.00020311555,1.1221784e-7,0.000043600776,0.0006261502,0.9772195,0.018805858,0.00087381835,0.00015935427],"about_ca_topic_score_codex":0.00025708106,"about_ca_topic_score_gemma":0.0000115451985,"teacher_disagreement_score":0.3284854,"about_ca_system_score_codex":0.00012068507,"about_ca_system_score_gemma":0.000038952276,"threshold_uncertainty_score":0.9632404},"labels":[],"label_agreement":null},{"id":"W4412036054","doi":"10.1186/s13195-025-01789-5","title":"Machine-learning based strategy identifies a robust protein biomarker panel for Alzheimer’s disease in cerebrospinal fluid","year":2025,"lang":"en","type":"article","venue":"Alzheimer s Research & Therapy","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Beijing Institute of Technology; Beijing Nova Program; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Biomarker; Neurology; Cerebrospinal fluid; Geriatric psychiatry; Medicine; Disease; Alzheimer's disease; Neuroscience; Bioinformatics; Pathology; Psychiatry; Psychology; Biology","score_opus":0.1633206353912723,"score_gpt":0.4033110003731224,"score_spread":0.23999036498185009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412036054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51429,0.23078087,0.18062949,0.019270277,0.00022690053,0.029964924,0.0013801962,0.0027157862,0.020741602],"genre_scores_gemma":[0.9819546,0.0006943716,0.0073154867,0.000100545425,0.0000634935,0.008148174,0.0002479432,0.00008156853,0.0013938529],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974845,0.00015214302,0.00044241836,0.0007296923,0.00041896652,0.0007722842],"domain_scores_gemma":[0.9984121,0.00027668136,0.00009033247,0.00072448375,0.00030973533,0.00018668141],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008306902,0.00029404002,0.00027628767,0.00033397315,0.0005072567,0.00019852984,0.00068457593,0.00016879004,0.00054234755],"category_scores_gemma":[0.000108119195,0.00028347436,0.00016826825,0.00070156675,0.00025590093,0.00017924192,0.0001298782,0.0007152944,0.000014670802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005531458,0.0014214796,0.006193274,0.0002841115,0.0011652586,0.00003683416,0.00014186521,0.0039299107,0.81391376,0.012932295,0.0027314497,0.1517183],"study_design_scores_gemma":[0.0039725513,0.00022695329,0.0018224026,0.00047511247,0.00012275693,0.0000011704037,0.0002186408,0.104371816,0.7734527,0.036408797,0.0780377,0.0008893814],"about_ca_topic_score_codex":0.0005346358,"about_ca_topic_score_gemma":0.00004194515,"teacher_disagreement_score":0.4676646,"about_ca_system_score_codex":0.000071910545,"about_ca_system_score_gemma":0.00040183094,"threshold_uncertainty_score":0.99996173},"labels":[],"label_agreement":null},{"id":"W4412426025","doi":"10.21203/rs.3.rs-7031998/v1","title":"Systematic evaluation of analytical methods for CSF proteomics ","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"National Institutes of Health","keywords":"Proteomics; Computer science; Computational biology; Medicine; Chemistry; Biology; Biochemistry","score_opus":0.1851770163126356,"score_gpt":0.574621642103397,"score_spread":0.38944462579076133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412426025","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040454,0.0013204243,0.96741605,0.00034792302,0.00003647716,0.012054432,0.00071402494,0.0001349799,0.013930313],"genre_scores_gemma":[0.027781416,0.00022314918,0.92711234,0.00000518072,0.00013415457,0.0414233,0.00042393027,0.00004723701,0.0028493204],"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996837,0.00052901456,0.00076495815,0.0005969896,0.000903554,0.0003684566],"domain_scores_gemma":[0.9928161,0.0017783894,0.00030959558,0.0014095556,0.0036000353,0.00008635411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009466091,0.00020723042,0.0006340031,0.0002664931,0.00014028265,0.00006030299,0.00070672424,0.000515483,0.00011544288],"category_scores_gemma":[0.0068259714,0.00019580127,0.00029981308,0.0003061832,0.00012694397,0.00003293294,0.00080697995,0.0010041912,0.0000023954672],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020072235,0.00061890477,0.000082450315,0.79421794,0.0007160541,6.301609e-7,0.0004000923,0.0055964426,0.047358926,0.12860656,0.0012453136,0.020955985],"study_design_scores_gemma":[0.00035735389,0.000035046243,0.0000030077574,0.018970689,0.0003212962,8.1230826e-7,0.0002139847,0.520638,0.21218863,0.24644454,0.0005866598,0.00023999882],"about_ca_topic_score_codex":0.000028738496,"about_ca_topic_score_gemma":0.000002352878,"teacher_disagreement_score":0.7752472,"about_ca_system_score_codex":0.0006249058,"about_ca_system_score_gemma":0.001020498,"threshold_uncertainty_score":0.8171818},"labels":[],"label_agreement":null},{"id":"W4412435573","doi":"10.1016/j.dib.2025.111862","title":"Manganese-modulated proteome and phosphoproteome dataset in the opportunistic yeast Candida albicans","year":2025,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Institute of Infection and Immunity; Canadian Institutes of Health Research; Fondation Institut de Cardiologie de Montréal; Canada Foundation for Innovation","keywords":"Candida albicans; Proteome; Yeast; Manganese; Computational biology; Microbiology; Biology; Chemistry; Bioinformatics; Biochemistry","score_opus":0.026510495086359716,"score_gpt":0.3158099463608894,"score_spread":0.28929945127452966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412435573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71940064,0.0009188299,0.01666233,0.014819493,0.00009534255,0.006343092,0.22128032,0.0004451081,0.020034835],"genre_scores_gemma":[0.9386345,0.00022708486,0.006668965,0.0009678931,0.000039358503,0.0010617606,0.051878307,0.000026366986,0.00049572677],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989195,0.000018438046,0.00027551467,0.0004544818,0.00011036552,0.0002216997],"domain_scores_gemma":[0.9982309,0.000052166924,0.000067698944,0.0015991873,0.00001230641,0.00003773628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002895501,0.00013860542,0.00016103235,0.00006175056,0.00007837294,0.000059284517,0.0009582122,0.00008757397,0.00012305668],"category_scores_gemma":[0.00009427652,0.00011793953,0.000009521692,0.00033634738,0.0001128401,0.0001436072,0.0004479874,0.00032181598,0.000003823437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009026302,0.0031208624,0.061587457,0.003583929,0.0002741887,0.0014538727,0.0019405476,0.00012804114,0.48123142,0.107751496,0.23292674,0.1050988],"study_design_scores_gemma":[0.0016353286,0.000023347615,0.0076224995,0.00041771698,0.000045775607,0.00007097061,0.00046811136,0.005068358,0.014354964,0.0136156995,0.9560401,0.0006371175],"about_ca_topic_score_codex":0.002148237,"about_ca_topic_score_gemma":0.0006283929,"teacher_disagreement_score":0.72311336,"about_ca_system_score_codex":0.00004441328,"about_ca_system_score_gemma":0.00006457279,"threshold_uncertainty_score":0.48094347},"labels":[],"label_agreement":null},{"id":"W4412656404","doi":"10.1021/acs.analchem.5c02808","title":"Liquid Chromatographic and Mass Spectrometric Methods for Quantitative Proteomic Analysis from Single-Cell and Nanogram-Level Samples","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"National Cancer Institute","keywords":"Chemistry; Chromatography; Quantitative analysis (chemistry); Mass spectrometry; Analytical Chemistry (journal)","score_opus":0.04025061829454955,"score_gpt":0.353150841557241,"score_spread":0.31290022326269146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412656404","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45322534,0.0008426028,0.54315364,0.00019256645,0.0000032451749,0.00017457607,0.00020767986,0.00009018131,0.0021101404],"genre_scores_gemma":[0.38690984,0.00017784073,0.6119206,0.00003695492,0.00002444934,0.00022103361,0.00015613779,0.00001936476,0.00053381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984916,0.000015662159,0.00039631143,0.0006882557,0.00009683497,0.0003113326],"domain_scores_gemma":[0.9983419,0.00083014957,0.00015019074,0.00043358258,0.00010068964,0.00014347906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017893911,0.00026793603,0.0005140017,0.00019152899,0.00015953726,0.000087446075,0.00021624888,0.0002468909,0.00010801604],"category_scores_gemma":[0.00030107558,0.00026937205,0.0002263333,0.0013447282,0.00025501364,0.000058167876,0.00011397651,0.00024246873,5.051803e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082467835,0.000099256824,0.0028037704,0.0002544892,0.0005133582,7.083329e-7,0.000015044115,0.0000034409038,0.99364704,0.0015230377,0.000031328946,0.0010260458],"study_design_scores_gemma":[0.00040930597,0.000037200323,0.00012456975,0.000039648974,0.0010608283,9.446613e-7,0.00010685285,0.008689355,0.9644931,0.023683356,0.0010630494,0.00029181124],"about_ca_topic_score_codex":0.00004705801,"about_ca_topic_score_gemma":0.0000025225077,"teacher_disagreement_score":0.06876691,"about_ca_system_score_codex":0.00006237914,"about_ca_system_score_gemma":0.000039405237,"threshold_uncertainty_score":0.99997586},"labels":[],"label_agreement":null},{"id":"W4412813567","doi":"10.20944/preprints202507.2380.v1","title":"&lt;em&gt;Patterny&lt;/em&gt;: A Troupe of Decipherment Helpers for Intrinsic Disorder, Low Complexity and Compositional Bias in Proteins","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Decipherment; Physics; Art; Literature","score_opus":0.08266895208180428,"score_gpt":0.34102926681962414,"score_spread":0.25836031473781984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412813567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630186,0.00020460329,0.03000886,0.00046731537,0.00005703676,0.0030780868,0.0015068211,0.00018739757,0.0014712902],"genre_scores_gemma":[0.95784104,0.0003098928,0.03437102,0.00009078955,0.00009699039,0.006000288,0.0007567537,0.000054595475,0.00047860455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968166,0.000058355854,0.0010315429,0.0012895521,0.00035841673,0.00044558282],"domain_scores_gemma":[0.9975186,0.00017998292,0.00061331585,0.0013088634,0.00024033168,0.00013889473],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040854697,0.0005433335,0.0008150149,0.00018205348,0.00015329766,0.000034277018,0.0007855085,0.0004684134,0.00038643187],"category_scores_gemma":[0.00012996799,0.0006240083,0.00033932243,0.00016890618,0.0002566959,0.000075360134,0.0020752284,0.00081834145,0.0000116310775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015782755,0.004815073,0.33943114,0.013267921,0.00073779747,0.000014005961,0.0030488137,0.0034846934,0.579164,0.032544732,0.0001364406,0.021777056],"study_design_scores_gemma":[0.004584095,0.000101252335,0.08700533,0.004052012,0.00023882245,0.00001665898,0.00034097122,0.0043956824,0.75415933,0.13635805,0.00678016,0.0019676166],"about_ca_topic_score_codex":0.00018474474,"about_ca_topic_score_gemma":0.0004459811,"teacher_disagreement_score":0.25242582,"about_ca_system_score_codex":0.00036756875,"about_ca_system_score_gemma":0.00021036182,"threshold_uncertainty_score":0.99962115},"labels":[],"label_agreement":null},{"id":"W4412890811","doi":"10.1002/ana.70011","title":"Proteomics and the Risk of Incident Embolic and Thrombotic Stroke","year":2025,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Stroke (engine); Internal medicine; Hazard ratio; Proportional hazards model; Oncology; Bioinformatics; Biology; Confidence interval","score_opus":0.016760705251333618,"score_gpt":0.3047784223176177,"score_spread":0.2880177170662841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412890811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925825,0.00048211892,0.0017401057,0.0037079698,0.0000061828537,0.00018087044,0.000027045486,0.000014251095,0.0012589465],"genre_scores_gemma":[0.9948606,0.0030617914,0.0013905207,0.00054596824,0.000008883561,0.000058201713,0.0000010237084,0.0000050316594,0.000067970344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952453,0.000027892258,0.00019077759,0.00013349527,0.00003509835,0.00008822367],"domain_scores_gemma":[0.99935365,0.00018040408,0.00016915023,0.00023401325,0.0000470448,0.000015758998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012234383,0.000064572225,0.00019030031,0.00002700706,0.000045818506,0.0000034890525,0.0001151644,0.00006809241,0.0000050795798],"category_scores_gemma":[0.0000980264,0.00004808704,0.00003363872,0.000045477114,0.0003733397,0.000017804608,0.00013015057,0.00016048108,1.5174047e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012525812,0.0002426736,0.12021662,0.00044822117,0.00031265354,0.0000031760517,0.00050692883,0.00022921101,0.5384327,0.3255346,0.0009465286,0.011874038],"study_design_scores_gemma":[0.0010060106,0.00012273731,0.023442801,0.000018091596,0.00007568996,0.000014100677,0.00003108694,0.0011874217,0.69454175,0.27717283,0.002286069,0.00010140055],"about_ca_topic_score_codex":0.000060304126,"about_ca_topic_score_gemma":0.000006783855,"teacher_disagreement_score":0.15610902,"about_ca_system_score_codex":7.36244e-7,"about_ca_system_score_gemma":0.0000127434105,"threshold_uncertainty_score":0.19609326},"labels":[],"label_agreement":null},{"id":"W4413111525","doi":"10.1021/acs.jproteome.5c00297","title":"Fast and Memory-Efficient Searching of Large-Scale Mass Spectrometry Data Using Tide","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Artificial Intelligence in Medicine (Canada)","funders":"Directorate for Biological Sciences; National Research University Higher School of Economics","keywords":"Mass spectrometry; Scale (ratio); Computer science; Chemistry; Chromatography; Geography","score_opus":0.07297867691553875,"score_gpt":0.43595794154763695,"score_spread":0.3629792646320982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413111525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63906115,0.00049796386,0.3566517,0.0005765927,0.000014765142,0.0003223584,0.00009364392,0.000013122336,0.002768698],"genre_scores_gemma":[0.58288527,0.00021826,0.416108,0.0000076413235,0.00013128835,0.000014154177,0.000005998596,0.000021162441,0.0006081897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981462,0.00007797357,0.0004958487,0.00025046663,0.00064742606,0.0003821189],"domain_scores_gemma":[0.9983707,0.00019126075,0.00023828122,0.00066388893,0.00042048102,0.00011535932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031028257,0.000100287114,0.00027147954,0.00045240682,0.00022313303,0.000057721263,0.00081943366,0.000086480184,0.00009030688],"category_scores_gemma":[0.00034768227,0.00008843295,0.00005485629,0.00065023685,0.0001712325,0.00013591237,0.0007585404,0.0011226209,0.0000011045508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060554416,0.00012448106,0.0004073164,0.00034076266,0.000037153666,0.000010348223,0.00010100833,0.0002649977,0.99602365,0.00042466063,0.000117127965,0.0020879554],"study_design_scores_gemma":[0.00055831316,0.00005780593,0.000119832985,0.0005915167,0.000019565467,0.000052020543,0.0011580351,0.026882323,0.96312994,0.0065877913,0.0007356471,0.00010722224],"about_ca_topic_score_codex":0.000027851536,"about_ca_topic_score_gemma":0.0000021415399,"teacher_disagreement_score":0.059456322,"about_ca_system_score_codex":0.00015990173,"about_ca_system_score_gemma":0.0002972627,"threshold_uncertainty_score":0.48772916},"labels":[],"label_agreement":null},{"id":"W4413159407","doi":"10.1016/j.mcpro.2025.101050","title":"A Novel Hybrid High-Speed Mass Spectrometer Allows Rapid Translation From Biomarker Candidates to Targeted Clinical Tests Using 15N-Labeled Proteins","year":2025,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"Leibniz-Gemeinschaft; Bayerisches Staatsministerium für Wissenschaft und Kunst; Horizon 2020 Framework Programme; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Max-Planck-Gesellschaft; European Commission","keywords":"Mass spectrometry; Translation (biology); Biomarker; Computational biology; Proteomics; Computer science; Chemistry; Biology; Chromatography; Genetics; Gene; Messenger RNA","score_opus":0.024278283634885323,"score_gpt":0.2974750790488634,"score_spread":0.27319679541397807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413159407","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50875676,0.00016224841,0.48855257,0.00034996608,0.000049412785,0.0015301725,0.00020818261,0.0001847748,0.0002059214],"genre_scores_gemma":[0.42953098,0.000022592363,0.5689844,0.00023022084,0.00007435626,0.00038254083,0.0005211857,0.000086851054,0.000166903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99678874,0.000080764425,0.0010326033,0.0011451058,0.00032711952,0.0006256934],"domain_scores_gemma":[0.99801016,0.00008420193,0.00032160297,0.0011778056,0.00016983025,0.00023641021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036964833,0.0005313334,0.000626607,0.0002110733,0.00022435465,0.00014199252,0.0006229653,0.00037058655,0.0002199664],"category_scores_gemma":[0.00012822059,0.0005839456,0.0003148903,0.00055343256,0.000114880386,0.00012776996,0.00017241298,0.00058733835,0.000029084538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020918337,0.00026779645,0.00017914348,0.000055032073,0.00021058839,0.00004153743,0.000023261926,0.00020204979,0.99622905,0.00027863725,0.000039408613,0.002264297],"study_design_scores_gemma":[0.0016222876,0.000054404252,0.00003393986,0.0001379655,0.0001570099,0.0000047486747,0.000008165889,0.022732008,0.96723384,0.0052381908,0.002174391,0.0006030479],"about_ca_topic_score_codex":0.0004359324,"about_ca_topic_score_gemma":0.000015489219,"teacher_disagreement_score":0.08043179,"about_ca_system_score_codex":0.0002616214,"about_ca_system_score_gemma":0.00021870645,"threshold_uncertainty_score":0.9996612},"labels":[],"label_agreement":null},{"id":"W4413257832","doi":"10.1021/acs.jproteome.5c00557","title":"PSManalyst: A Dashboard for Visual Quality Control of FragPipe Results","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Response Biomedical (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Visualization; Dashboard; Data mining; Quality (philosophy); Database","score_opus":0.07510161923527056,"score_gpt":0.49892210809915727,"score_spread":0.4238204888638867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413257832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26484317,0.00045821385,0.7191885,0.008782851,0.00004111635,0.0015589098,0.00018932206,0.000039016937,0.0048989006],"genre_scores_gemma":[0.9492695,0.00009893207,0.047954194,0.00002792748,0.0001769405,0.00029532585,0.0000046380424,0.00001579619,0.0021567568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976086,0.000110945744,0.0011293147,0.00021090094,0.0006127306,0.00032748503],"domain_scores_gemma":[0.9961542,0.00089462695,0.0006164718,0.00038953303,0.0018430115,0.000102142214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043370808,0.000110732704,0.00044803115,0.0003368702,0.00018009762,0.00003434583,0.0005503613,0.00015671768,0.00003725724],"category_scores_gemma":[0.002218767,0.00009354125,0.00026244295,0.00048775645,0.00021057398,0.00010143336,0.000093975184,0.0007395601,0.0000014877527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002587615,0.00031051444,0.00038895378,0.0006014607,0.0001738831,0.0000036495396,0.000068177666,0.000051372655,0.9813643,0.0076382784,0.0017500953,0.0050616697],"study_design_scores_gemma":[0.0035814713,0.00032048265,0.00014629916,0.00041338243,0.000041605774,0.0000062800746,0.00018517207,0.00094704865,0.9177225,0.05658615,0.019919716,0.00012988574],"about_ca_topic_score_codex":0.00002269838,"about_ca_topic_score_gemma":0.0000029675753,"teacher_disagreement_score":0.6844263,"about_ca_system_score_codex":0.00019716698,"about_ca_system_score_gemma":0.00039349456,"threshold_uncertainty_score":0.38145018},"labels":[],"label_agreement":null},{"id":"W4413754293","doi":"10.1021/acs.jproteome.5c00391","title":"Proteomic Landscapes of 3D and 2D Models of High-Grade Serous Ovarian Carcinoma: Implications for Carboplatin Response","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Carboplatin; Ovarian carcinoma; Serous fluid; Serous carcinoma; Carcinoma; Oncology; Cancer research; Internal medicine; Biology; Medicine; Computational biology; Ovarian cancer; Cancer; Chemotherapy; Cisplatin","score_opus":0.05013018784903084,"score_gpt":0.3746084831570945,"score_spread":0.32447829530806366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413754293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9348067,0.00031337232,0.060529243,0.002621462,0.000008318239,0.0012595662,0.00015369566,0.000013645248,0.00029401778],"genre_scores_gemma":[0.8623621,0.00009709776,0.13660522,0.000004219192,0.000045926743,0.00056754414,0.0000042461943,0.00001971879,0.00029391533],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983607,0.00010030974,0.0007476271,0.00022023621,0.00028434556,0.00028680125],"domain_scores_gemma":[0.9974941,0.0004809143,0.0004680542,0.00044187982,0.0010204493,0.00009457138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017459304,0.00012966478,0.0004049808,0.0004180786,0.00015954582,0.000024493382,0.00043239776,0.00016488494,0.000011555216],"category_scores_gemma":[0.000393633,0.0001151408,0.000099004414,0.00043795895,0.00016034966,0.0001342163,0.00014999001,0.00051726843,1.612318e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012642646,0.00015419444,0.001033075,0.0005628698,0.00005561049,0.0000011889373,0.00014087246,0.0002251296,0.983076,0.011903315,0.00012160436,0.0014619267],"study_design_scores_gemma":[0.0014735139,0.00028367178,0.002956532,0.0002936421,0.00003909721,0.00003279115,0.00010823839,0.0015244359,0.8422519,0.15064861,0.00027118536,0.000116365314],"about_ca_topic_score_codex":0.00010180517,"about_ca_topic_score_gemma":0.00000481592,"teacher_disagreement_score":0.14082403,"about_ca_system_score_codex":0.00012143014,"about_ca_system_score_gemma":0.00052751804,"threshold_uncertainty_score":0.46953055},"labels":[],"label_agreement":null},{"id":"W4413821214","doi":"10.1101/2025.08.25.672181","title":"Comparative Evaluation of Solid-Phase and Membrane Mimetic Strategies in Membrane Proteome Coverage and Disease-State Analysis","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université de Montréal; University of Regina","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Proteome; Membrane; Phase (matter); Chemistry; Disease; Membrane protein; Computational biology; State (computer science); Computer science; Biology; Biochemistry; Medicine; Internal medicine; Algorithm","score_opus":0.02379264627085325,"score_gpt":0.32640131349227786,"score_spread":0.3026086672214246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413821214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825837,0.0011408816,0.01237668,0.00007275906,0.000018637502,0.001346807,0.002315625,0.00011576054,0.000029158538],"genre_scores_gemma":[0.9921297,0.0007217357,0.0057859058,0.00001619433,0.000023023471,0.001282991,0.0000058095525,0.00002748155,0.0000071465915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977514,0.000104362756,0.0006486046,0.00086159364,0.0003663329,0.00026768408],"domain_scores_gemma":[0.9978358,0.00009032875,0.00053199107,0.0008516363,0.00049150176,0.00019873254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005884453,0.00042306434,0.0008627507,0.0004120946,0.000086132786,0.0001002235,0.00025217026,0.0002309009,0.000048773836],"category_scores_gemma":[0.00011114743,0.0004714205,0.00010641687,0.00070042064,0.00019567953,0.00016090293,0.0002930811,0.00046441666,5.591779e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013472806,0.00028947266,0.0016265459,0.001757174,0.0005286273,0.0000072783487,0.00005608662,0.008657449,0.9862483,0.0006830655,0.0000034775705,0.0000077790755],"study_design_scores_gemma":[0.0013828842,0.000020484567,0.006967507,0.00056882395,0.001574259,5.4148193e-9,0.000016531438,0.04663137,0.94176316,0.00043297093,0.00006257829,0.0005794039],"about_ca_topic_score_codex":0.00008439496,"about_ca_topic_score_gemma":0.00001470631,"teacher_disagreement_score":0.044485133,"about_ca_system_score_codex":0.00016685328,"about_ca_system_score_gemma":0.0007410368,"threshold_uncertainty_score":0.99977374},"labels":[],"label_agreement":null},{"id":"W4413950839","doi":"10.1080/14789450.2025.2557023","title":"MRMAssayDB: a comprehensive integrated resource for targeted proteomics assays","year":2025,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Cancer Institute; Jewish General Hospital; Fondation De Famille Alvin Segal; Genome Canada; Warren Y. Soper Charitable Trust; McGill University","keywords":"Proteomics; Computational biology; Resource (disambiguation); Computer science; Biology; Biochemistry","score_opus":0.01648274151449407,"score_gpt":0.3347446253655721,"score_spread":0.318261883851078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413950839","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017926455,0.04345781,0.9362802,0.0035863654,0.00007080555,0.0067277243,0.00035597623,0.00040137643,0.0073271124],"genre_scores_gemma":[0.00065797137,0.021518366,0.9645953,0.0025558309,0.00011505593,0.008709283,0.00044891992,0.00007101654,0.0013282099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99786985,0.000045554276,0.0009809687,0.00055269187,0.00017972082,0.0003711885],"domain_scores_gemma":[0.99769896,0.00016122166,0.0005463263,0.0009537557,0.00055273646,0.00008700984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030014268,0.00037883234,0.00080055825,0.000091207,0.00017192811,0.000024695526,0.00066704175,0.00024742863,0.000121324396],"category_scores_gemma":[0.00043392013,0.00034776528,0.00034888563,0.00043617102,0.0001534121,0.000090198926,0.00018646005,0.00039351027,0.0000047694316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014150664,0.00014726889,0.000014049402,0.007956557,0.000091124086,7.390423e-7,0.000058300164,0.000009054618,0.94647247,0.011080793,0.02807492,0.0059532374],"study_design_scores_gemma":[0.00040323546,0.00003519123,8.4993025e-7,0.0054162964,0.000033014654,0.0000030402261,0.00006528692,0.00045295028,0.6171658,0.0032412384,0.37293628,0.00024680293],"about_ca_topic_score_codex":0.000024548479,"about_ca_topic_score_gemma":0.0000016338762,"teacher_disagreement_score":0.34486136,"about_ca_system_score_codex":0.00020475437,"about_ca_system_score_gemma":0.0002341027,"threshold_uncertainty_score":0.9998974},"labels":[],"label_agreement":null},{"id":"W4414340524","doi":"10.1080/14789450.2025.2560919","title":"Advances and applications of clinical proteomics in precision medicine","year":2025,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Guelph","funders":"","keywords":"Precision medicine; Standardization; Proteomics; MEDLINE; Personalized medicine","score_opus":0.02136120675910909,"score_gpt":0.4295247269843393,"score_spread":0.4081635202252302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414340524","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00470333,0.28431305,0.6853642,0.002253866,0.000049526727,0.0049656425,0.00003600986,0.000077345416,0.01823702],"genre_scores_gemma":[0.0031693974,0.5187079,0.4751151,0.00025325277,0.00008606943,0.0024938697,0.000019122754,0.000014405893,0.00014088118],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978578,0.000035724905,0.0014778811,0.00035671802,0.00013904866,0.00013281772],"domain_scores_gemma":[0.998377,0.00019668372,0.0006074801,0.0006116531,0.00015864623,0.000048532147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007068801,0.00016241906,0.00074614445,0.00008065742,0.00003663164,0.0000027545102,0.0003379621,0.00014012573,0.000058729933],"category_scores_gemma":[0.0004992335,0.00013568535,0.000092851595,0.0003569394,0.00028874545,0.00008541159,0.00014674854,0.00025672832,7.0736127e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019245732,0.0005522873,0.0055499254,0.03270724,0.000037941005,7.3107e-7,0.00013945853,0.000005576299,0.21812972,0.03864222,0.0010709233,0.7029715],"study_design_scores_gemma":[0.0018082685,0.00017530854,0.0002027816,0.04903916,0.00006469412,0.00000689207,0.00016992794,0.00036423275,0.5425706,0.0724496,0.33265513,0.00049339107],"about_ca_topic_score_codex":0.000028194527,"about_ca_topic_score_gemma":0.0000053261497,"teacher_disagreement_score":0.7024781,"about_ca_system_score_codex":0.00003141429,"about_ca_system_score_gemma":0.000090184054,"threshold_uncertainty_score":0.5533088},"labels":[],"label_agreement":null},{"id":"W4414465161","doi":"10.1158/2326-6074.cimm25-b023","title":"Abstract B023: A scalable, proteome-wide protein profiling platform with absolute quantification of 1000 proteins","year":2025,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos","funders":"","keywords":"Profiling (computer programming); Proteomics; KEGG; Biomarker; Quantitative proteomics; Redundancy (engineering)","score_opus":0.050840511920718076,"score_gpt":0.37482568781807757,"score_spread":0.3239851758973595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414465161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96287084,0.001493456,0.01177814,0.0016463577,0.000021297066,0.0039383285,0.00007624541,0.00023328088,0.017942067],"genre_scores_gemma":[0.9567069,0.0003498054,0.01691872,0.000014289514,0.000036724487,0.017949471,0.000051274215,0.0000464354,0.007926383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979045,0.000030922918,0.00050077384,0.0005763975,0.0003599168,0.00062753336],"domain_scores_gemma":[0.9977344,0.00015379692,0.00023578052,0.00097067346,0.0008535689,0.000051749514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589556,0.00020634,0.00031647185,0.000286827,0.00036863188,0.00004041273,0.0006875156,0.00033241307,0.00026964577],"category_scores_gemma":[0.00016573693,0.00018281247,0.00005846307,0.0008879802,0.00072382635,0.00017801413,0.00020176632,0.0011887116,0.000018543928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005474827,0.00015076865,0.0012732678,0.000730995,0.00010907988,0.0000023198547,0.000049174403,0.000046372927,0.9792065,0.012207631,0.0000891875,0.00558722],"study_design_scores_gemma":[0.00052631093,0.0000713937,0.0012608351,0.0008632,0.000009576669,0.0000020192017,0.00016730609,0.00008363116,0.98723227,0.0057436647,0.0038656644,0.00017412244],"about_ca_topic_score_codex":0.00058797194,"about_ca_topic_score_gemma":0.000096699085,"teacher_disagreement_score":0.014011143,"about_ca_system_score_codex":0.00034494343,"about_ca_system_score_gemma":0.0011029921,"threshold_uncertainty_score":0.74548763},"labels":[],"label_agreement":null},{"id":"W4414777573","doi":"10.1038/s43588-025-00880-z","title":"Proteoform search from protein database with top-down mass spectra","year":2025,"lang":"en","type":"article","venue":"Nature Computational Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bioinformatics Solutions (Canada)","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Deconvolution; Pipeline (software); Identification (biology); Graph; Basis (linear algebra); Search algorithm","score_opus":0.006857039943264111,"score_gpt":0.3020115019358871,"score_spread":0.295154461992623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414777573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26253864,0.00008354418,0.72182924,0.0031333668,0.000019467769,0.000616262,0.00016891204,0.00018436507,0.011426233],"genre_scores_gemma":[0.5673742,0.0000012149171,0.43188533,0.00013149434,0.000036377172,0.0001292892,0.00007782203,0.0000047690423,0.00035947628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986226,0.000004657185,0.0001351602,0.00048333677,0.000506593,0.00024763984],"domain_scores_gemma":[0.9992392,0.00007453133,0.000053773245,0.00031665387,0.00024147323,0.00007434063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017152357,0.000115857816,0.00009065864,0.00008259397,0.00035848058,0.00009455022,0.00056548876,0.00009066236,0.00013307437],"category_scores_gemma":[0.00005981289,0.00009508074,0.000021338372,0.0008141014,0.00022153938,0.00023522592,0.00012561888,0.00058595906,0.000009196852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006554802,0.000090981775,0.0016022641,0.000049768485,0.000012519631,0.0000072245034,0.000042969223,0.004195482,0.8026556,0.18517223,0.00015200232,0.005953408],"study_design_scores_gemma":[0.00027024053,0.000014131439,0.00061235356,0.0001371891,0.0000048528623,0.000002894887,0.000024467716,0.01357355,0.8681682,0.11489117,0.0021235016,0.00017747015],"about_ca_topic_score_codex":0.00005578245,"about_ca_topic_score_gemma":0.000007825148,"teacher_disagreement_score":0.3048356,"about_ca_system_score_codex":0.00026648742,"about_ca_system_score_gemma":0.0004974719,"threshold_uncertainty_score":0.38772798},"labels":[],"label_agreement":null},{"id":"W4414799864","doi":"10.1093/neuonc/noaf193.209","title":"P05.04.B ENRICHMENT AND ANALYTICAL METHODS IN CSF PROTEOMICS: EACH NAIL NEEDS A DIFFERENT HAMMER","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cohort; Coefficient of variation; Reproducibility; Peptide; Nanoparticle tracking analysis; Cohort study","score_opus":0.02322882610921426,"score_gpt":0.3779779979675576,"score_spread":0.3547491718583433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414799864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69980234,0.00034907306,0.2377264,0.010296852,0.00014183698,0.001269939,0.000022429866,0.00029523947,0.050095912],"genre_scores_gemma":[0.6122524,0.0006751235,0.37939903,0.0025441474,0.00016007616,0.0030196197,0.000030254969,0.00006321132,0.0018561076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985372,0.000105050545,0.0004368833,0.00045595874,0.00008205719,0.00038286595],"domain_scores_gemma":[0.9988267,0.0004972019,0.000110736655,0.00042151002,0.000041358726,0.00010253524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022940409,0.00022040533,0.00042652147,0.00018254337,0.00008993703,0.000025312585,0.00024298247,0.00029579477,0.000118724485],"category_scores_gemma":[0.00018121129,0.00020595347,0.000070197726,0.00029301885,0.00014263009,0.000042808202,0.0003317544,0.00064269896,0.000004177807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092724746,0.00032085736,0.0031653387,0.000064878855,0.000024776558,0.000013560816,0.00016216018,0.000013857401,0.89855564,0.017727448,0.0007223142,0.079136446],"study_design_scores_gemma":[0.0015330255,0.00018103742,0.00049193203,0.00004151804,0.00007635588,0.00003535699,0.00025662256,0.0067665726,0.6136341,0.018048042,0.35859093,0.00034452495],"about_ca_topic_score_codex":0.000026734217,"about_ca_topic_score_gemma":0.000013528512,"teacher_disagreement_score":0.3578686,"about_ca_system_score_codex":0.00030553882,"about_ca_system_score_gemma":0.000104250015,"threshold_uncertainty_score":0.8398539},"labels":[],"label_agreement":null},{"id":"W4414849082","doi":"10.1161/circgen.125.005198","title":"Digging Deeper Into Cardiovascular Plasma Proteomics: Opportunities and Limitations of Current Platforms","year":2025,"lang":"en","type":"review","venue":"Circulation Genomic and Precision Medicine","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Juravinski Cancer Centre","funders":"","keywords":"Proteomics; Disease; Coronary artery disease; Biomarker discovery; Identification (biology); Biomarker; Risk assessment","score_opus":0.13738793155589052,"score_gpt":0.3446697373332887,"score_spread":0.2072818057773982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414849082","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00062468403,0.9426282,0.05495603,0.000026468231,0.00006012816,0.00086873723,0.0000451601,0.000054296248,0.000736319],"genre_scores_gemma":[0.00054648484,0.9906981,0.007647268,0.0000072812486,0.00014183624,0.00042435358,0.00039679997,0.000034112196,0.00010378316],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825716,0.00002396233,0.0008860986,0.00047270616,0.0002088256,0.0001512605],"domain_scores_gemma":[0.9981259,0.0006801265,0.0004467316,0.0005223749,0.00011402395,0.000110848254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003673625,0.00033593137,0.0012259686,0.00027056367,0.00018748349,0.000018145949,0.00017892155,0.00025616583,0.000032061835],"category_scores_gemma":[0.00027131545,0.0002714134,0.00022555016,0.00014644484,0.00020989448,0.000086541106,0.00015581245,0.0003157514,0.000001253756],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004320482,0.000009500279,0.000008140073,0.008977425,0.00011805902,5.318878e-7,0.00022233765,0.00002795774,0.00010162194,0.0028940341,0.000030584975,0.9876055],"study_design_scores_gemma":[0.00030896754,0.000015001218,0.000007261731,0.014744016,0.000952795,0.00002521736,0.00017660411,0.0002636639,0.00005296846,0.011892273,0.97125864,0.00030258106],"about_ca_topic_score_codex":0.000008388257,"about_ca_topic_score_gemma":0.0000010596906,"teacher_disagreement_score":0.9873029,"about_ca_system_score_codex":0.00010027389,"about_ca_system_score_gemma":0.00017069626,"threshold_uncertainty_score":0.99997383},"labels":[],"label_agreement":null},{"id":"W4415157117","doi":"10.1007/978-1-0716-4832-2_2","title":"Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques","year":2025,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Immune system; Antigen; Proteomics; In silico; Genomics; Acquired immune system; Systems biology","score_opus":0.01805300946089576,"score_gpt":0.40536085973433267,"score_spread":0.3873078502734369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415157117","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007221307,0.0014421744,0.8397137,0.0009421839,0.000082044615,0.0006330165,0.000098375145,0.0002183493,0.15686296],"genre_scores_gemma":[0.000007721273,0.00022707641,0.9619004,0.00051987206,0.00013563347,0.0011380657,0.00012960412,0.00007972933,0.03586186],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974972,0.0003541495,0.00073847105,0.0009411578,0.00008922105,0.00037980548],"domain_scores_gemma":[0.9974626,0.00061140524,0.0003078311,0.0014606268,0.00009514662,0.00006241905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012171807,0.0004898488,0.0006983542,0.00023843051,0.00012798556,0.000024268023,0.0010061808,0.0012338475,0.00024757563],"category_scores_gemma":[0.0003964934,0.000421593,0.000288823,0.00012914663,0.00023786088,0.00001738281,0.00076612906,0.0014742386,0.000008263004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001591777,0.000007669376,0.00000216838,0.000012214927,0.000043817803,0.0000023388732,0.000017337983,0.0000029110624,0.57881004,0.24260968,0.000073408846,0.17840248],"study_design_scores_gemma":[0.00004046446,0.000012333142,2.711747e-7,0.00009312534,0.00003203775,0.0000017303829,0.000007120359,0.000080519014,0.36980116,0.38811728,0.24159895,0.00021498442],"about_ca_topic_score_codex":0.0001782066,"about_ca_topic_score_gemma":0.000009235398,"teacher_disagreement_score":0.24152555,"about_ca_system_score_codex":0.00051284814,"about_ca_system_score_gemma":0.00012333845,"threshold_uncertainty_score":0.9998236},"labels":[],"label_agreement":null},{"id":"W4415209196","doi":"10.1161/circresaha.125.327050","title":"SCarP: Proteome Heterogeneity Characterization of Primary Mouse Cardiomyocytes","year":2025,"lang":"en","type":"letter","venue":"Circulation Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"Proteome; Primary (astronomy); Primary cell; Cell; Myocyte; Proteomics","score_opus":0.06128939017812548,"score_gpt":0.3482352971334444,"score_spread":0.28694590695531896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415209196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6545413,0.0004996124,0.077620454,0.20378494,0.00020646454,0.009000059,0.004520372,0.0014018696,0.048424877],"genre_scores_gemma":[0.63099694,0.0021916286,0.02344203,0.09983622,0.016734235,0.024995586,0.10805612,0.0010908416,0.0926564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974705,0.000116950614,0.0005277323,0.00062165427,0.0008469697,0.0004162208],"domain_scores_gemma":[0.9975749,0.00014359718,0.00028285824,0.001126725,0.0008246613,0.00004723917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043462386,0.00024233207,0.0004441258,0.00039451156,0.00021387753,0.00007334555,0.0005369297,0.0009051874,0.00014410075],"category_scores_gemma":[0.000092649825,0.00027226665,0.00019227237,0.0005234348,0.00019512742,0.00013058973,0.00025178748,0.0017761954,0.000015677066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141517385,0.0000367878,0.0011808695,0.0021419572,0.000068097834,0.00000598484,0.000022432645,0.000039621576,0.9600557,0.00010570046,0.034894552,0.0014341557],"study_design_scores_gemma":[0.00021020774,0.00001053561,0.00077768584,0.00028615873,0.000027989352,0.000003555928,0.000003453611,0.0003007821,0.7092271,0.00090089854,0.2879201,0.00033160206],"about_ca_topic_score_codex":0.00004722631,"about_ca_topic_score_gemma":7.115397e-7,"teacher_disagreement_score":0.25302553,"about_ca_system_score_codex":0.00043914112,"about_ca_system_score_gemma":0.00031480638,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W4415382507","doi":"10.1186/s12014-025-09560-6","title":"Novel proteomic characterization of multiple myeloma bone marrow interstitial fluid links prognosis to coagulation pathways","year":2025,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Beatrice Hunter Cancer Research Institute; Nova Scotia Health Authority; Dalhousie University","funders":"Research Nova Scotia; Dalhousie University","keywords":"Multiple myeloma; Proteomics; Bone marrow; Coagulation; Risk stratification; Interstitial fluid; Hematology","score_opus":0.03702521696857514,"score_gpt":0.3231356295237266,"score_spread":0.28611041255515146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415382507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5898152,0.000004349392,0.40720493,0.0006164421,0.0000870599,0.001584627,0.00017320723,0.00016431976,0.00034987327],"genre_scores_gemma":[0.7899679,0.00003389289,0.20739521,0.00028665655,0.00021281966,0.0015323255,0.0002584637,0.00004047644,0.00027224436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974488,0.000030837982,0.0014134691,0.0006336598,0.00017438276,0.00029883525],"domain_scores_gemma":[0.9982713,0.00014146048,0.0005202909,0.00064013473,0.00028835016,0.00013845923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042951145,0.00026726408,0.00051198143,0.00012112924,0.00013693183,0.00004183709,0.00040800415,0.00064626243,0.000057378867],"category_scores_gemma":[0.00076329085,0.00028621667,0.00020779263,0.00033321467,0.00016752245,0.00014256818,0.00029219696,0.00064510596,0.00001793472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038275152,0.00040940335,0.007170538,0.00017410716,0.000030980562,5.9683356e-7,0.000041182306,0.000044230463,0.9763776,0.0017599602,0.00005538424,0.013553245],"study_design_scores_gemma":[0.0010647874,0.00012300775,0.0051204194,0.00042339962,0.000041161882,0.0000023033128,0.000012729484,0.007348214,0.9826187,0.0017629872,0.0011801837,0.00030209558],"about_ca_topic_score_codex":0.000014152923,"about_ca_topic_score_gemma":0.0000042770826,"teacher_disagreement_score":0.20015271,"about_ca_system_score_codex":0.0001247074,"about_ca_system_score_gemma":0.00015999397,"threshold_uncertainty_score":0.999959},"labels":[],"label_agreement":null},{"id":"W4415590502","doi":"10.1101/2025.10.24.25337921","title":"Cerebrospinal fluid proteomics for predictive assessment of Alzheimer’s Disease risk","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Genentech; IXICO; Georgia State University; BioClinica; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Emory University; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Proteomics; Disease; Neurodegeneration; Cerebrospinal fluid; Inflection point; Clinical trial; Neuroimaging; Alzheimer's Disease Neuroimaging Initiative","score_opus":0.023380082377379117,"score_gpt":0.3403656805359563,"score_spread":0.3169855981585772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415590502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14912492,0.0005031835,0.83086157,0.00025187517,0.000120260614,0.0031662683,0.011705086,0.0002957693,0.0039710808],"genre_scores_gemma":[0.53598803,0.00063663337,0.44943196,0.000027155103,0.00023387127,0.012368853,0.0006966732,0.000058133748,0.0005586726],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981893,0.00002190084,0.0005884621,0.00072882284,0.0002143716,0.00025718164],"domain_scores_gemma":[0.9976314,0.00008025404,0.0006907417,0.0011844664,0.00027318843,0.00013998876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022027898,0.00034151584,0.00046958704,0.00007078635,0.00013226738,0.000023398738,0.0005871243,0.00029907658,0.00006419329],"category_scores_gemma":[0.0001181406,0.0003545002,0.00034725163,0.000077177225,0.0001152227,0.00003474234,0.00065688003,0.0006733359,7.182686e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022897257,0.0039833165,0.56398356,0.019886589,0.0046098283,0.000012705464,0.00046476565,0.051132992,0.25119182,0.07918724,0.004794004,0.018463451],"study_design_scores_gemma":[0.0011753716,0.0001266754,0.016349705,0.0016317291,0.0021755705,8.8646505e-7,0.000041989962,0.10741516,0.68089443,0.18152204,0.0075174593,0.0011489906],"about_ca_topic_score_codex":0.000028987703,"about_ca_topic_score_gemma":0.0000014975136,"teacher_disagreement_score":0.5476338,"about_ca_system_score_codex":0.00012832604,"about_ca_system_score_gemma":0.00056222716,"threshold_uncertainty_score":0.9998907},"labels":[],"label_agreement":null},{"id":"W4415732690","doi":"10.21203/rs.3.rs-7660411/v1","title":"Multidimensional proteomics and explainable AI feature selection identify cross-platform lung cancer molecular signature in blood plasma","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Chinese Academy of Medical Sciences","keywords":"Proteomics; Feature selection; Lung cancer; Biomarker; Concordance; Cancer; Biomarker discovery; Cancer biomarkers","score_opus":0.019221632624549612,"score_gpt":0.40858960659477267,"score_spread":0.38936797397022305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415732690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98802674,0.0031379398,0.0033177943,0.00085961673,0.00004685025,0.0027202587,0.0007149485,0.00021135344,0.00096449594],"genre_scores_gemma":[0.9120843,0.0038387913,0.057119716,0.000085354426,0.00029140917,0.013943646,0.0009530275,0.00013376742,0.011549982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99704635,0.000054345277,0.00036213725,0.0011111541,0.00068754435,0.000738493],"domain_scores_gemma":[0.9981629,0.00013972657,0.00014592982,0.00060775806,0.00078707846,0.00015659942],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005315697,0.00039696295,0.0003948022,0.00038384055,0.0004296005,0.00025251237,0.00044265567,0.0014111779,0.00014345063],"category_scores_gemma":[0.00018549962,0.00042206724,0.00012204332,0.0005458889,0.00015364317,0.00017730333,0.0013779034,0.005629496,0.0000016518682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004601905,0.0005079364,0.038619317,0.012338119,0.00026525676,0.00014178237,0.00037858516,0.019596098,0.91600585,0.007389067,0.0026832512,0.0016145522],"study_design_scores_gemma":[0.0010129693,0.000026557818,0.00065377814,0.0029851156,0.000040979758,0.000014040442,0.00007990676,0.02145214,0.9598535,0.011176239,0.002144858,0.0005599446],"about_ca_topic_score_codex":0.00072895346,"about_ca_topic_score_gemma":0.00018911457,"teacher_disagreement_score":0.075942434,"about_ca_system_score_codex":0.00070760254,"about_ca_system_score_gemma":0.0007640528,"threshold_uncertainty_score":0.9998852},"labels":[],"label_agreement":null},{"id":"W4415891851","doi":"10.1007/s00535-025-02314-z","title":"Development of novel serum peptide biomarkers for screening pancreatic cancer","year":2025,"lang":"en","type":"article","venue":"Journal of Gastroenterology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PROTO Manufacturing (Canada)","funders":"","keywords":"Hepatology; Pancreatic cancer; Surgical oncology; Peptide; Abdominal surgery; Cancer; Cancer screening; Pancreatic carcinoma","score_opus":0.021153887823866308,"score_gpt":0.3108459223556463,"score_spread":0.28969203453178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415891851","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5051372,0.000037338228,0.4941899,0.0004353154,0.000023749948,0.00005633994,0.000018668896,0.00000590406,0.00009556443],"genre_scores_gemma":[0.40295982,0.000028225237,0.59667176,0.00012430103,0.000032798893,0.00004910166,0.0000025090067,0.0000078678,0.00012363018],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991341,0.000004703051,0.0005291929,0.00009449237,0.00006457649,0.00017293515],"domain_scores_gemma":[0.9991681,0.00004103759,0.00049528154,0.00010670658,0.0001507339,0.00003813712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015433677,0.00008736437,0.00025920864,0.00009144753,0.000051217165,0.0000043294067,0.00019364532,0.000052526673,0.000031593743],"category_scores_gemma":[0.000025895237,0.000080112455,0.000099678866,0.000050481212,0.00004423715,0.00003853351,0.000046340218,0.00011439715,6.9387426e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017368321,0.00022392736,0.09076536,0.00028097484,0.000695443,0.000001356079,0.00011339739,0.0003423274,0.89172673,0.000382684,0.0009139633,0.012816975],"study_design_scores_gemma":[0.008285796,0.0004925621,0.016886361,0.0015582697,0.00041632316,0.00012772581,0.0007109419,0.0023260799,0.92746484,0.0014031573,0.04007636,0.00025156335],"about_ca_topic_score_codex":0.000003287761,"about_ca_topic_score_gemma":0.000020391051,"teacher_disagreement_score":0.10248183,"about_ca_system_score_codex":0.000064212756,"about_ca_system_score_gemma":0.00007866358,"threshold_uncertainty_score":0.3266891},"labels":[],"label_agreement":null},{"id":"W4415900334","doi":"10.1136/jitc-2025-sitc2025.1231","title":"1231 A scalable, proteome-wide protein profiling platform with absolute quantification of 1000 proteins","year":2025,"lang":"","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Profiling (computer programming); Quantitative proteomics; Peptide mapping; Quantitative analysis (chemistry); Proteomics","score_opus":0.013973822773747941,"score_gpt":0.250930916148302,"score_spread":0.23695709337455403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415900334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951658,0.0011315378,0.029060358,0.0024821386,0.00007494209,0.0076935794,0.00021148074,0.00035163638,0.0073362994],"genre_scores_gemma":[0.86235815,0.00020115041,0.12847711,0.000089716086,0.00009191382,0.0027064967,0.00013230613,0.00011471495,0.0058284383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99542326,0.000049893868,0.0016723155,0.001343353,0.00064408744,0.00086710317],"domain_scores_gemma":[0.9958672,0.00008080994,0.0013558626,0.0015013276,0.00058809284,0.0006067228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007603542,0.00081382337,0.00092178583,0.00028352777,0.0006117944,0.00024686425,0.00060525944,0.0007364132,0.00002613427],"category_scores_gemma":[0.00042824846,0.0007817603,0.00018866426,0.0009035513,0.0012538019,0.0005989523,0.00022193184,0.0010095352,0.000010480654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003416206,0.00040862907,0.0031612285,0.005443777,0.00028271935,0.000015049598,0.00021239757,0.00047304333,0.9636925,0.024117006,0.00022602138,0.0016260487],"study_design_scores_gemma":[0.0010399042,0.0001728683,0.0016945114,0.0043494483,0.00022447552,0.000032003118,0.00023195481,0.0011847344,0.9705449,0.014139151,0.0056019714,0.00078411144],"about_ca_topic_score_codex":0.00028929926,"about_ca_topic_score_gemma":0.000037708298,"teacher_disagreement_score":0.099416755,"about_ca_system_score_codex":0.00025413407,"about_ca_system_score_gemma":0.0016596764,"threshold_uncertainty_score":0.9994633},"labels":[],"label_agreement":null},{"id":"W4416069058","doi":"10.1093/plphys/kiaf573","title":"Optimizing bio-orthogonal non-canonical amino acid tagging (BONCAT) for low-disruption labeling of Arabidopsis proteins in vivo","year":2025,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Dental Hygiene Research and Education","keywords":"Proteome; Arabidopsis; Amino acid; Methionine; Arabidopsis thaliana; Amino acid residue; Plant growth; Mass spectrometry; Biosynthesis","score_opus":0.012586306516599768,"score_gpt":0.27967867253206774,"score_spread":0.267092366015468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416069058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480283,0.00007590192,0.04981239,0.00018931359,0.000030490773,0.0004987943,0.00032833376,0.000073646865,0.00096280413],"genre_scores_gemma":[0.90779614,0.00005966833,0.09089456,0.000076848206,0.000057363082,0.0008222826,0.00017158927,0.000014101871,0.00010746242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989667,0.000009849754,0.000369389,0.0003364125,0.00005033256,0.00026733533],"domain_scores_gemma":[0.99939597,0.00012481525,0.00016373093,0.00024342323,0.000043571566,0.000028475655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089008616,0.00014238898,0.00030169106,0.000086057924,0.000073408475,0.000005921323,0.00019306641,0.00016421893,0.000044993096],"category_scores_gemma":[0.000039202292,0.00014549264,0.00008298883,0.00013586371,0.00006867136,0.00004713049,0.00008749661,0.00019474946,0.0000015916655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012566205,0.00009720529,0.00021635191,0.00022964283,0.000017139448,5.9847423e-7,0.00004079629,0.0007336322,0.99426454,0.0035741772,0.000049738836,0.0006505026],"study_design_scores_gemma":[0.0004560432,0.00002453972,0.00011748727,0.000245633,0.000014398714,0.0000020431544,0.00004318366,0.009196777,0.98520327,0.0036582428,0.00089559786,0.00014276385],"about_ca_topic_score_codex":0.000024941113,"about_ca_topic_score_gemma":0.000018623316,"teacher_disagreement_score":0.041082166,"about_ca_system_score_codex":0.000069813716,"about_ca_system_score_gemma":0.00007999603,"threshold_uncertainty_score":0.5933018},"labels":[],"label_agreement":null},{"id":"W4416154088","doi":"10.1101/2025.11.11.687106","title":"A Single-Aliquot, Enrichment-Free Workflow for High-Throughput Plasma Proteome and N-Glycoproteome Profiling","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thermo Fisher Scientific (Canada)","funders":"","keywords":"Proteomics; Proteome; Biomarker discovery; Biomarker; Glycoproteomics; Profiling (computer programming); Blood proteins; Lung cancer","score_opus":0.014496682403007687,"score_gpt":0.24134843580983825,"score_spread":0.22685175340683056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416154088","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5641714,0.0025897422,0.39165038,0.002936776,0.0012858238,0.024663744,0.009666152,0.002908367,0.00012765663],"genre_scores_gemma":[0.37968844,0.0009935378,0.59480023,0.00018577153,0.0010255049,0.02271378,0.0000071638456,0.00036214566,0.00022338872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99051493,0.00012509206,0.0023022024,0.0042638406,0.00075538724,0.0020385156],"domain_scores_gemma":[0.98996353,0.00042815186,0.0019588727,0.0055174176,0.0013977832,0.0007342684],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0010362265,0.0022143,0.0020417536,0.00049796473,0.0011873436,0.00081021275,0.0026096704,0.0024274187,0.00008662687],"category_scores_gemma":[0.0010083104,0.0026776423,0.0005118287,0.0012370619,0.00059860764,0.00048743378,0.0033099193,0.0023799827,0.000021222186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043506428,0.00071835355,0.00046159027,0.005863334,0.000522058,0.000021274644,0.000018361181,0.0001021097,0.97748595,0.014020964,0.00029753472,0.000053424814],"study_design_scores_gemma":[0.00291753,0.00023622079,0.00012074155,0.0030307607,0.0005420637,1.2674394e-7,0.000008385491,0.0014275373,0.9715119,0.0010938664,0.016545873,0.0025650158],"about_ca_topic_score_codex":0.000060833958,"about_ca_topic_score_gemma":0.0000031288553,"teacher_disagreement_score":0.20314986,"about_ca_system_score_codex":0.0013957566,"about_ca_system_score_gemma":0.0013470714,"threshold_uncertainty_score":0.99992156},"labels":[],"label_agreement":null},{"id":"W4416199408","doi":"10.1021/acs.jproteome.5c00415","title":"Use of Synthetic Standard Peptides in Standardized Digests to Evaluate Both Sample and Instrument Suitability in Proteomics","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Proteome; Mass spectrometry; Peptide; Sample (material); Proteomics; Quantitative proteomics; Sample preparation; Label-free quantification","score_opus":0.08072733437655918,"score_gpt":0.4157197443853618,"score_spread":0.33499241000880264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416199408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98430485,0.00009438473,0.012382796,0.0014452374,0.000008226081,0.0015264945,0.00009226362,0.0000085784295,0.00013717687],"genre_scores_gemma":[0.8529073,0.00026764264,0.14639421,0.000006907789,0.0000131393335,0.00033355644,0.000001109402,0.000014638891,0.0000615022],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99746764,0.00018814605,0.000909932,0.0002774993,0.00076102326,0.00039574385],"domain_scores_gemma":[0.99799436,0.00063738716,0.00021893148,0.00040114383,0.00061901164,0.00012917057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004591775,0.00013989117,0.00048221182,0.0006046597,0.00007524511,0.000072782605,0.0003216834,0.00011238871,0.00004137708],"category_scores_gemma":[0.0030385973,0.00012318816,0.00006869261,0.00071945897,0.00019202441,0.00020449341,0.00028881908,0.000840624,3.4568242e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003754236,0.00042881162,0.11684064,0.0009846287,0.000045941197,0.000016180575,0.0006065061,0.00043253263,0.8490737,0.0020534755,0.000059502614,0.025703821],"study_design_scores_gemma":[0.0018498935,0.0004312199,0.008358127,0.0019359661,0.000010836207,0.000010275232,0.0003433186,0.0002763217,0.91085917,0.07311331,0.0026215515,0.00019003442],"about_ca_topic_score_codex":0.0002556115,"about_ca_topic_score_gemma":0.00013504321,"teacher_disagreement_score":0.13401142,"about_ca_system_score_codex":0.00083738205,"about_ca_system_score_gemma":0.0006649611,"threshold_uncertainty_score":0.50234675},"labels":[],"label_agreement":null},{"id":"W4416298714","doi":"10.1093/nar/gkaf1265","title":"Mapping drug mechanisms with ProteomicsDB: unified omics and cell sensitivity data at scale","year":2025,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"HORIZON EUROPE Framework Programme; H2020 European Research Council; Deutsche Forschungsgemeinschaft; Elitenetzwerk Bayern; European Commission","keywords":"Proteomics; Proteome; Transcriptome; Normalization (sociology); Pipeline (software); Phenotype; Biomarker; Systems biology; Omics; Precision medicine","score_opus":0.03656120089407274,"score_gpt":0.32542605981754,"score_spread":0.2888648589234673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416298714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84647644,0.00006547812,0.12394346,0.0015487314,0.000010845286,0.0008602162,0.0002323527,0.00023456082,0.026627889],"genre_scores_gemma":[0.77224845,0.00019341399,0.21661326,0.000068607194,0.000040399664,0.00018470672,0.00015401725,0.000048514466,0.010448615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818224,0.00006474442,0.00020253815,0.0007403551,0.00033207203,0.00047802503],"domain_scores_gemma":[0.99795455,0.00018078131,0.000060824394,0.0015058233,0.0001757658,0.00012227663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009821256,0.00017406314,0.0002097365,0.00012864031,0.00061506144,0.00009881834,0.0005726865,0.00015163928,0.00006113211],"category_scores_gemma":[0.000051080606,0.0001637335,0.000021872534,0.00043105878,0.00030271258,0.00015194176,0.0019550764,0.00071749097,0.000019589299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011107857,0.00007675152,0.00081670505,0.00024159355,0.00001693572,0.000010356105,0.00015681723,0.0000061415153,0.9891836,0.0049937693,0.0012421609,0.0031440724],"study_design_scores_gemma":[0.00053522235,0.000016865235,0.000108553584,0.00011532953,0.000008774025,0.0000137404095,0.00070940773,0.0074730786,0.95975393,0.01817432,0.012857374,0.0002333818],"about_ca_topic_score_codex":0.00011618654,"about_ca_topic_score_gemma":0.00007914034,"teacher_disagreement_score":0.0926698,"about_ca_system_score_codex":0.0002109602,"about_ca_system_score_gemma":0.00013483285,"threshold_uncertainty_score":0.6676858},"labels":[],"label_agreement":null},{"id":"W4416322320","doi":"10.21203/rs.3.rs-8042176/v1","title":"High-Throughput Label-free Single-Cell Proteomics Enabled by Multicolumn NanoLC with a 5-min Cycle Time","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsemi (Canada)","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health","keywords":"Proteome; Proteomics; Workflow; Quantitative proteomics; Profiling (computer programming); Limiting; Label-free quantification","score_opus":0.024120801365761075,"score_gpt":0.3264415265219316,"score_spread":0.30232072515617053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416322320","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6758758,0.0032434722,0.09917158,0.008354313,0.00016378297,0.025546277,0.02337435,0.004879273,0.1593912],"genre_scores_gemma":[0.12711973,0.00085245474,0.71328145,0.00011496196,0.00049954554,0.019767784,0.003480837,0.00041783103,0.1344654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955677,0.00013202813,0.0005836313,0.0015052567,0.0010512305,0.0011601672],"domain_scores_gemma":[0.9950253,0.00036807405,0.0002960818,0.0031895225,0.00084286544,0.00027820523],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00056188065,0.0005862891,0.0006837309,0.00021355176,0.0005066052,0.0003149185,0.002051678,0.0009388558,0.00057854864],"category_scores_gemma":[0.000283743,0.0005811886,0.00014594602,0.00055243465,0.0003630642,0.00011332399,0.0034858584,0.00302273,0.000113809685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040954494,0.0021503503,0.000102301245,0.005275388,0.00014900975,0.000040060197,0.00026736778,0.00066539214,0.9510338,0.0010257608,0.036256224,0.002624813],"study_design_scores_gemma":[0.0018713342,0.00019739933,0.0000018155012,0.0018146341,0.000042427873,0.0000037778311,0.00012695104,0.002971728,0.95316404,0.014761737,0.024253948,0.0007901994],"about_ca_topic_score_codex":0.0006719984,"about_ca_topic_score_gemma":0.000048741615,"teacher_disagreement_score":0.6141099,"about_ca_system_score_codex":0.0009975415,"about_ca_system_score_gemma":0.0007780117,"threshold_uncertainty_score":0.99966395},"labels":[],"label_agreement":null},{"id":"W4416414244","doi":"10.1038/s42004-025-01734-5","title":"Scoring information integration with statistical quality control enhanced cross-run analysis of data-independent acquisition proteomics data","year":2025,"lang":"en","type":"article","venue":"Communications Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; China Scholarship Council; Government of Canada","keywords":"False positive paradox; Benchmark (surveying); Identifier; Quantitative proteomics; Software; Proteomics; Data acquisition; Data quality","score_opus":0.04552270275834506,"score_gpt":0.39816459518633973,"score_spread":0.35264189242799465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416414244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05218958,0.00007000146,0.93391144,0.00022036937,0.000005308008,0.0003123614,0.0047347294,0.0001291953,0.008426989],"genre_scores_gemma":[0.79894006,0.00010640025,0.17228647,0.00003770895,0.000010487496,0.00024340862,0.02828512,0.000008424503,0.000081947845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983576,0.000033561064,0.0008256108,0.0003882643,0.00022978504,0.00016515667],"domain_scores_gemma":[0.9908503,0.00032795317,0.0005774393,0.007758249,0.000432348,0.00005366684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984356,0.00017798296,0.00034360276,0.00008513188,0.00026542417,0.00011200562,0.002957395,0.00016065936,0.0001272201],"category_scores_gemma":[0.0002949578,0.0001792425,0.000044601224,0.0006452148,0.00029993476,0.00095386454,0.0011625423,0.00039068225,0.0000024735555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032280333,0.00048144025,0.0062300367,0.0005845222,0.0012011715,2.1580148e-7,0.0001670037,0.0012682502,0.94472945,0.019485854,0.0001338876,0.025395343],"study_design_scores_gemma":[0.0012143072,0.000009359236,0.0033624058,0.0002401229,0.0011571726,0.0000016144003,0.0004569059,0.13204123,0.8574351,0.0023303109,0.0013423235,0.00040915632],"about_ca_topic_score_codex":0.000110367735,"about_ca_topic_score_gemma":0.000050551647,"teacher_disagreement_score":0.761625,"about_ca_system_score_codex":0.00015340056,"about_ca_system_score_gemma":0.00019501847,"threshold_uncertainty_score":0.7309297},"labels":[],"label_agreement":null},{"id":"W4416786368","doi":"10.1186/s12014-025-09568-y","title":"Comparative evaluation of analytical methods for CSF proteomics","year":2025,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; National Institutes of Health; Hospital for Sick Children; Canada Research Chairs","keywords":"Proteomics; Workflow; Cerebrospinal fluid; Proteome; Cerebrospinal fluid proteins; Selection (genetic algorithm); Quantitative proteomics; Biological fluids; Protocol (science)","score_opus":0.22167668406111912,"score_gpt":0.5805910254128424,"score_spread":0.35891434135172323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416786368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089844875,0.000092174436,0.89529485,0.0004887139,0.000071441005,0.0027412295,0.000064186985,0.00009324742,0.011309267],"genre_scores_gemma":[0.088584125,0.000040704494,0.90790164,0.0001060325,0.000109135544,0.002580988,0.000058245136,0.00002023787,0.00059890543],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976451,0.00016092075,0.0012436302,0.0005248434,0.00017905445,0.00024647082],"domain_scores_gemma":[0.9965243,0.0012695692,0.00047543048,0.0007010993,0.00094223494,0.00008738992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034840251,0.00020220863,0.0006613094,0.00006611466,0.00011944163,0.000023673083,0.0004165718,0.00036561346,0.00008314616],"category_scores_gemma":[0.0027387496,0.00019634605,0.00032994244,0.00024722877,0.00033335463,0.00007917003,0.00014394766,0.00044031712,0.0000037861028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019648618,0.0025556134,0.0037962804,0.0010381534,0.0009177555,3.3796235e-7,0.00021084092,0.00261265,0.4257806,0.3492663,0.004896443,0.20696017],"study_design_scores_gemma":[0.0015006075,0.0000756853,0.00008835495,0.000091624344,0.00029938453,5.685827e-7,0.00005216198,0.30953094,0.4661253,0.21347286,0.008548779,0.00021374266],"about_ca_topic_score_codex":0.00000409706,"about_ca_topic_score_gemma":0.0000015540738,"teacher_disagreement_score":0.3069183,"about_ca_system_score_codex":0.00014220236,"about_ca_system_score_gemma":0.00041488916,"threshold_uncertainty_score":0.8006759},"labels":[],"label_agreement":null},{"id":"W4416980514","doi":"10.26434/chemrxiv-2025-tm1ms","title":"The need for standardisation and improved open (meta)data practices in metaproteomics","year":2025,"lang":"","type":"article","venue":"ChemRxiv","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metaproteomics; Interoperability; Workflow; Metadata; Standardization; Data curation; Automation; Limiting","score_opus":0.08487166913669698,"score_gpt":0.3999366695188863,"score_spread":0.3150650003821893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416980514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14086081,0.038863886,0.64415765,0.11059124,0.0004924033,0.033784464,0.0017123368,0.000364223,0.029172981],"genre_scores_gemma":[0.62090284,0.014710285,0.33932802,0.00071055954,0.00025198012,0.013063356,0.0005531692,0.00012936708,0.010350398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979531,0.000038089514,0.0006676293,0.000874403,0.0001008257,0.00036592194],"domain_scores_gemma":[0.9960275,0.0008915964,0.0009223285,0.0019190726,0.0001743478,0.000065149085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017319993,0.0002989104,0.0004850755,0.000044936554,0.0006435553,0.00078103837,0.0019388092,0.00024926665,0.000025351406],"category_scores_gemma":[0.0016349682,0.00024177815,0.00009454813,0.00033781363,0.00021649474,0.0006761432,0.0017414115,0.00042010372,7.371472e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024300828,0.00059555616,0.0009122209,0.0017124024,0.0033565478,0.000001374327,0.000414668,0.000028168975,0.7783296,0.08721771,0.006804926,0.118196756],"study_design_scores_gemma":[0.0018137423,0.00003126645,0.000031093663,0.000090957394,0.0013439117,0.0000015151467,0.000811737,0.019765776,0.6269815,0.091149256,0.25759324,0.00038599246],"about_ca_topic_score_codex":0.00015201159,"about_ca_topic_score_gemma":0.00016017562,"teacher_disagreement_score":0.48004204,"about_ca_system_score_codex":0.00014341257,"about_ca_system_score_gemma":0.00036057614,"threshold_uncertainty_score":0.98594266},"labels":[],"label_agreement":null},{"id":"W4417177416","doi":"10.1016/j.mcpro.2025.101480","title":"Enhanced Identifications and Quantification Through Retention Time Down-Sampling in Fast-Cycling Diagonal-PASEF Methods","year":2025,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Analyte; Mass spectrometry; Workflow; Retention time; Quantitative proteomics; Peptide; Diagonal; Quadrupole","score_opus":0.021897963487771167,"score_gpt":0.3368192160174262,"score_spread":0.314921252529655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417177416","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33348262,0.0004346519,0.6635719,0.0002732558,0.000026950776,0.0006561465,0.000017616523,0.00012782881,0.0014090306],"genre_scores_gemma":[0.4457517,0.00020313919,0.5518642,0.00006542616,0.000023016435,0.0010101625,0.0002884341,0.00004295968,0.00075093587],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979186,0.0000934915,0.00069446093,0.00079625624,0.00015701655,0.00034016234],"domain_scores_gemma":[0.99858594,0.000100541474,0.00028794172,0.00083884184,0.00012806304,0.000058691392],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055736117,0.00027989325,0.0003125298,0.00015472862,0.00026236236,0.00013464576,0.00033046905,0.0002778985,0.000048267637],"category_scores_gemma":[0.0001899062,0.00033730877,0.00012541751,0.0005054695,0.00011688077,0.00019656512,0.00016443043,0.000436301,0.00001880632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017081942,0.000078802565,0.000026448315,0.000116194744,0.000025059171,0.0000018898063,0.0001074356,0.0006336114,0.9741576,0.019251205,0.0000054507545,0.0055792285],"study_design_scores_gemma":[0.000305667,0.000006333486,0.000030075918,0.00015829712,0.00004866947,0.0000019626468,0.00006725703,0.009702632,0.937323,0.051364623,0.00070384284,0.00028764235],"about_ca_topic_score_codex":0.00004045942,"about_ca_topic_score_gemma":0.000004009838,"teacher_disagreement_score":0.11226908,"about_ca_system_score_codex":0.0001590384,"about_ca_system_score_gemma":0.00006875644,"threshold_uncertainty_score":0.9999079},"labels":[],"label_agreement":null},{"id":"W4417291333","doi":"10.1111/bjh.70278","title":"Plasma proteomic profiles of patients during oral anti‐coagulant treatment with vitamin K antagonists","year":2025,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Jewish General Hospital; McGill University Health Centre; University of Victoria","funders":"Trombosestichting Nederland; Center for Translational Molecular Medicine; Hartstichting","keywords":"Contraindication; Adverse effect; Cohort; Cohort study; Proteomics; Vitamin k; Atrial fibrillation; Etiology; Epidemiology","score_opus":0.006310400691612768,"score_gpt":0.25042620549429795,"score_spread":0.2441158048026852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417291333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980169,0.00014682344,0.0010373448,0.00008862047,0.00002355844,0.00025357294,0.00007530721,0.000022573584,0.00033528687],"genre_scores_gemma":[0.9774402,0.00030872758,0.021972144,0.0000066940984,0.000015219612,0.00006546955,0.000015017453,0.00001551234,0.0001610538],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899095,0.000019364934,0.00053063437,0.00016061259,0.000106503714,0.00019193937],"domain_scores_gemma":[0.99908197,0.000025200043,0.0005150142,0.00015156994,0.00017925729,0.000046987956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004663916,0.00013065491,0.00051371113,0.000079798374,0.00009496331,0.000017958477,0.00018676852,0.00009759549,0.00003436879],"category_scores_gemma":[0.000019380377,0.00012068429,0.00008498209,0.00009194565,0.00012676753,0.0000751729,0.000042268224,0.00016259361,8.07821e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001786963,0.0040217373,0.3864399,0.0022998147,0.001044683,0.008831997,0.00022223008,0.00014872746,0.545235,0.0038383077,0.0007379555,0.045392677],"study_design_scores_gemma":[0.0023803946,0.00019971942,0.0048692813,0.00070382917,0.00006738613,0.009954258,0.000043847645,0.00002604264,0.98055536,0.0005306591,0.00053297036,0.00013628438],"about_ca_topic_score_codex":0.000037330956,"about_ca_topic_score_gemma":0.00001770193,"teacher_disagreement_score":0.43532032,"about_ca_system_score_codex":0.00008360607,"about_ca_system_score_gemma":0.0001070277,"threshold_uncertainty_score":0.49213627},"labels":[],"label_agreement":null},{"id":"W4417356514","doi":"10.1080/14789450.2025.2604157","title":"Middle-down proteomics: the pursuit for longer peptides","year":2025,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Western University","funders":"","keywords":"Workflow; Peptide; Proteomics; Key (lock); Ion channel","score_opus":0.021645460063373846,"score_gpt":0.33576290305635964,"score_spread":0.3141174429929858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417356514","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00330368,0.11535817,0.83608294,0.01684365,0.00015392019,0.012186385,0.00020217788,0.0003421427,0.0155269215],"genre_scores_gemma":[0.0016714226,0.05763539,0.9119256,0.0035031766,0.00029144975,0.020534938,0.000075901,0.000065492,0.004296589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829876,0.000023261018,0.0007461474,0.0004218253,0.00019368765,0.0003163261],"domain_scores_gemma":[0.99803513,0.00014840977,0.0004048156,0.0010964669,0.00026305686,0.000052131334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005354022,0.0002821929,0.0005055133,0.000041159114,0.00022080775,0.000041730615,0.0010606465,0.00014375211,0.00014844474],"category_scores_gemma":[0.0003851483,0.00020254719,0.0003455312,0.000231605,0.00018556113,0.00009197415,0.00021863422,0.00026640238,0.0000085321935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011135379,0.00020832772,0.000049482493,0.016302295,0.00012719339,6.05453e-7,0.00020582952,0.0000059492227,0.8852129,0.046599325,0.031530213,0.019646537],"study_design_scores_gemma":[0.00027686445,0.000029332294,0.0000019435763,0.0068804487,0.000045074037,0.000004188504,0.00006597359,0.0001332169,0.75002,0.012762663,0.2295377,0.00024254911],"about_ca_topic_score_codex":0.00001495417,"about_ca_topic_score_gemma":0.0000029586913,"teacher_disagreement_score":0.1980075,"about_ca_system_score_codex":0.000109765206,"about_ca_system_score_gemma":0.00015325236,"threshold_uncertainty_score":0.8259635},"labels":[],"label_agreement":null},{"id":"W4417397714","doi":"10.1021/acs.jproteome.5c01235","title":"ProteoForge: An Imputation-Aware Framework for Differential Proteoform Discovery in Bottom-Up Proteomics","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs; Michael Smith Health Research BC","keywords":"Deconvolution; Proteomics; Missing data; Peptide mapping; Stability (learning theory); Benchmarking","score_opus":0.04803790144517276,"score_gpt":0.4368073421158471,"score_spread":0.3887694406706743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417397714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40378413,0.0000531903,0.590614,0.0012067466,0.000071165414,0.0040161447,0.000054267257,0.000040790324,0.00015954746],"genre_scores_gemma":[0.63326097,0.00007365902,0.35821265,0.000025535339,0.00048429187,0.0064853993,0.000028475815,0.00006798374,0.0013610658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99654686,0.00012074212,0.0011799458,0.0004814104,0.0007892171,0.0008818213],"domain_scores_gemma":[0.9971091,0.00038837068,0.00054529076,0.0006256001,0.0011380693,0.00019354619],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022107447,0.00029040343,0.00053451274,0.00075536786,0.00041858864,0.0003240254,0.0010342959,0.00046366887,0.00007553804],"category_scores_gemma":[0.0011466268,0.00025337128,0.0002389225,0.00092790683,0.00021037638,0.0009321314,0.0002509533,0.0025347774,0.000002800597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036733348,0.0015476992,0.0038764526,0.0028504021,0.00016051703,0.000026942329,0.00063602783,0.00023522897,0.8828258,0.0852002,0.000441749,0.018525645],"study_design_scores_gemma":[0.0015203616,0.0004025671,0.00024137995,0.0011161448,0.000017210483,0.00001910438,0.0004329436,0.0019419512,0.5570982,0.43623176,0.00070075324,0.0002776036],"about_ca_topic_score_codex":0.000035840443,"about_ca_topic_score_gemma":0.000011773394,"teacher_disagreement_score":0.35103157,"about_ca_system_score_codex":0.0006442847,"about_ca_system_score_gemma":0.0010935764,"threshold_uncertainty_score":0.99999183},"labels":[],"label_agreement":null},{"id":"W4417516068","doi":"10.1016/j.mcpro.2025.101496","title":"Comparative Evaluation of Solid-phase and Membrane Mimetic Strategies in Membrane Proteome Coverage and Disease-State Analysis","year":2025,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Regina; University of British Columbia","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Foundation for Innovation; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Proteome; Membrane protein; Transmembrane protein; Membrane; Integral membrane protein; Context (archaeology)","score_opus":0.01566034394873992,"score_gpt":0.3376926914578806,"score_spread":0.32203234750914067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417516068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7781043,0.00075627974,0.21910866,0.000104320105,0.0000042756906,0.0013727109,0.00013338891,0.00003444481,0.00038164394],"genre_scores_gemma":[0.9834333,0.00015181127,0.015253051,0.000028726592,0.000004922328,0.00086895446,0.00015847843,0.00001972694,0.00008103693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831593,0.000105321,0.000514546,0.0005292648,0.00029794042,0.00023697111],"domain_scores_gemma":[0.9989148,0.000039379094,0.000243195,0.00049434236,0.00018828017,0.00012005406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004692725,0.00026609213,0.0005362806,0.00029215927,0.00008338156,0.000059862345,0.00016920934,0.0001074146,0.000037104917],"category_scores_gemma":[0.00006411356,0.00028753997,0.00010409697,0.0006473571,0.00019203342,0.0001331509,0.00011804448,0.00023065979,5.349081e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014177235,0.00018769744,0.0001977067,0.00034490108,0.00023667187,0.0000113624765,0.00021525711,0.013646627,0.98279774,0.001696307,9.786766e-7,0.0005229833],"study_design_scores_gemma":[0.0014050315,0.000023535958,0.00009171688,0.00008225442,0.00063423044,8.8213767e-7,0.00010137862,0.10201642,0.866751,0.028650476,0.000024972367,0.00021810911],"about_ca_topic_score_codex":0.000064566986,"about_ca_topic_score_gemma":0.000018628984,"teacher_disagreement_score":0.205329,"about_ca_system_score_codex":0.00008582741,"about_ca_system_score_gemma":0.00023489191,"threshold_uncertainty_score":0.9999577},"labels":[],"label_agreement":null},{"id":"W4417524540","doi":"","title":"Subcellular proteome niche discovery using semi-supervised functional clustering.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Subcellular localization; Proteomics; Protein subcellular localization prediction; Proteome; Quantitative proteomics; Cell fractionation; Function (biology); Compartmentalization (fire protection); Systems biology","score_opus":0.027324161836326542,"score_gpt":0.244584203293705,"score_spread":0.21726004145737846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417524540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.338177,0.0003255231,0.6440929,0.000529211,0.00010283927,0.0010413411,0.000046964076,0.0003749068,0.015309339],"genre_scores_gemma":[0.96387607,0.000025697129,0.014479876,0.00021539279,0.00017294209,0.00668219,0.000060167193,0.000031333406,0.014456334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990306,0.0000073554397,0.00022367091,0.00031791572,0.0001188871,0.00030159316],"domain_scores_gemma":[0.9994065,0.000029341094,0.000066693225,0.00039908878,0.000040521547,0.000057835685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010109356,0.0001436957,0.00013999206,0.000052135285,0.00014922826,0.00006955004,0.00019081839,0.000112752656,0.00007353412],"category_scores_gemma":[0.000035350706,0.0001466535,0.000085205,0.0001957074,0.00004865389,0.00016695663,0.00015903398,0.00020230249,0.000003202388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024937457,0.00035119095,0.00829661,0.0006807653,0.00018577828,0.000010995667,0.000050558832,0.0020277603,0.89259636,0.0068205614,0.001506911,0.08722311],"study_design_scores_gemma":[0.0008488055,0.0000037398424,0.00331022,0.00006541912,0.00007154675,0.000013012308,0.000040690615,0.012863683,0.929648,0.018579915,0.03405119,0.0005038034],"about_ca_topic_score_codex":0.000016638429,"about_ca_topic_score_gemma":0.0000027966046,"teacher_disagreement_score":0.62961304,"about_ca_system_score_codex":0.0001623343,"about_ca_system_score_gemma":0.000042993386,"threshold_uncertainty_score":0.59803563},"labels":[],"label_agreement":null},{"id":"W49351147","doi":"10.1007/978-1-59745-493-3_2","title":"Quantitative Peptide and Protein Profiling by Mass Spectrometry","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Proteomics; Proteome; Quantitative proteomics; Mass spectrometry; Computational biology; Stable isotope labeling by amino acids in cell culture; Chemistry; Peptide; Label-free quantification; Shotgun proteomics; Chromatography; Biology; Biochemistry","score_opus":0.018796072676921072,"score_gpt":0.40586739808025424,"score_spread":0.38707132540333317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W49351147","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062458243,0.0006373219,0.93154377,0.000287459,0.0000040941695,0.00021465824,0.000012009849,0.0000615097,0.004780928],"genre_scores_gemma":[0.010101436,0.000041658328,0.989364,0.00012177571,0.000008753449,0.00013806664,0.00002120306,0.000012461392,0.00019059423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991042,0.000111676425,0.00019953903,0.00033733295,0.000031361993,0.00021589316],"domain_scores_gemma":[0.99957687,0.00006687965,0.00007976962,0.00021970614,0.000019602747,0.000037149344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033800188,0.00012632279,0.00019066557,0.000061008952,0.000035535973,0.00000874286,0.00013402132,0.00015184247,0.00002231862],"category_scores_gemma":[0.0001794611,0.00012498567,0.000032030974,0.00015799204,0.000080601545,0.000019345465,0.000034155215,0.00026469515,9.973893e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012558947,0.000020166071,0.00014214989,0.000009046766,0.0000048279876,0.000002938372,0.000009753827,0.0000014945764,0.9235615,0.072553195,0.000005079423,0.0036772627],"study_design_scores_gemma":[0.00010655104,0.00006589812,0.0000045634497,0.000010441124,0.0000027326093,0.0000031416696,0.000025415698,0.00019443441,0.7567758,0.24191903,0.0007832263,0.00010873962],"about_ca_topic_score_codex":0.0000062100567,"about_ca_topic_score_gemma":2.554037e-7,"teacher_disagreement_score":0.16936584,"about_ca_system_score_codex":0.00003496919,"about_ca_system_score_gemma":0.000011027493,"threshold_uncertainty_score":0.50967675},"labels":[],"label_agreement":null},{"id":"W51230829","doi":"10.1007/978-1-61779-276-2_4","title":"Identification and Relative Quantification of Native and Proteolytically Generated Protein C-Termini from Complex Proteomes: C-Terminome Analysis","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Chemistry; Cleavage (geology); Biochemistry; Trypsin; Label-free quantification; Tandem mass spectrometry; Escherichia coli; Mass spectrometry; Stable isotope labeling by amino acids in cell culture; Protease; Quantitative proteomics; Proteomics; Chromatography; Biology; Enzyme","score_opus":0.0581613788658824,"score_gpt":0.39334377118414127,"score_spread":0.33518239231825886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W51230829","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41038394,0.000067361885,0.5888105,0.000026457465,0.0000024898343,0.00049875374,0.000034362285,0.00002271717,0.00015342375],"genre_scores_gemma":[0.40186864,0.0000129381715,0.5973693,0.00000860392,0.000003932224,0.0006330006,0.000063180145,0.000010423538,0.000029983594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983757,0.00030911973,0.0005581441,0.00054804946,0.000056262394,0.00015270463],"domain_scores_gemma":[0.9989168,0.00009591276,0.00040729012,0.0004067432,0.00012652128,0.000046719826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049014814,0.00016894576,0.0003786513,0.00019781386,0.0000496596,0.000010688848,0.0001690585,0.00022114864,0.00008892923],"category_scores_gemma":[0.0002170053,0.0001637872,0.00005322313,0.00038978187,0.0003645223,0.000057074663,0.00010247806,0.0001881912,6.5401605e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025225716,0.000060788974,0.002660194,0.00002844966,0.0001212764,0.0000022810996,0.00042532233,0.0000018756793,0.9775542,0.014221337,1.2212166e-7,0.0048989533],"study_design_scores_gemma":[0.0001956134,0.000037996342,0.0025718333,0.00001893258,0.000097681106,0.0000019450217,0.00009352239,0.0031802864,0.9035593,0.09006545,0.00001963907,0.00015779812],"about_ca_topic_score_codex":0.00019016973,"about_ca_topic_score_gemma":0.000007436222,"teacher_disagreement_score":0.07584411,"about_ca_system_score_codex":0.000029443945,"about_ca_system_score_gemma":0.00002346038,"threshold_uncertainty_score":0.6679048},"labels":[],"label_agreement":null},{"id":"W572171421","doi":"10.1385/159745026x","title":"New and Emerging Proteomic Techniques","year":2006,"lang":"en","type":"book","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Irvine; Universität Zürich; West Virginia University; University of Ottawa; W. M. Keck Foundation; University of Minnesota; Stowers Institute for Medical Research; Van Andel Research Institute; Universiteit Leiden; Yale University","keywords":"Data science; Computer science; Proteomics; Biology","score_opus":0.02248997069925218,"score_gpt":0.2771928278773638,"score_spread":0.25470285717811164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W572171421","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022273032,0.0015929597,0.01231058,0.00001275235,0.0000119117285,0.0007467454,0.00006164915,0.0009661331,0.984275],"genre_scores_gemma":[0.0000338814,0.00026345006,0.060808633,0.000032237815,0.00066750793,0.0007225487,0.00012495494,0.00014694505,0.93719983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853444,0.00000525761,0.00039199225,0.0005961654,0.0001767968,0.00029534014],"domain_scores_gemma":[0.99877924,0.000018464258,0.00032737822,0.00072591146,0.000044369433,0.00010465069],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000050290426,0.00042926957,0.0003801007,0.00007474904,0.00017857125,0.000085823136,0.0003856342,0.00048867,0.000104596176],"category_scores_gemma":[0.0000033370666,0.00046915663,0.000107997046,0.0000055225214,0.000107170315,0.000042601936,0.0002741574,0.00064161845,0.0000036376155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022339736,0.000019306553,9.457674e-7,0.0009679965,0.00008772603,0.000018930545,0.0001462871,0.0000015017043,0.017056886,0.24097162,0.33461183,0.4060946],"study_design_scores_gemma":[0.00009635161,0.0000088952875,1.9254712e-7,0.00028710937,0.000052055177,0.000008322321,8.5266447e-7,0.0000074389422,0.13084339,0.077773966,0.7905122,0.00040920466],"about_ca_topic_score_codex":0.00025500037,"about_ca_topic_score_gemma":0.000016182417,"teacher_disagreement_score":0.4559004,"about_ca_system_score_codex":0.00012738662,"about_ca_system_score_gemma":0.00011179817,"threshold_uncertainty_score":0.999776},"labels":[],"label_agreement":null},{"id":"W63940752","doi":"10.1016/b978-0-12-396456-4.00014-6","title":"Mass Spectrometric Tools for Systematic Analysis of Protein Phosphorylation","year":2012,"lang":"en","type":"review","venue":"Progress in molecular biology and translational science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Phosphorylation; Protein phosphorylation; Computational biology; Protein function; Phosphorylation cascade; Function (biology); Identification (biology); Biology; Computer science; Data science; Chemistry; Bioinformatics; Cell biology; Biochemistry; Protein kinase A","score_opus":0.032248082979774065,"score_gpt":0.3804967201861813,"score_spread":0.34824863720640725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63940752","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014452168,0.8344451,0.16391176,0.000008311228,0.0000056348435,0.0012593208,0.000117394455,0.000014128201,0.0000938158],"genre_scores_gemma":[0.091979854,0.5740078,0.32567558,0.000004375284,0.00002881995,0.007515714,0.0007440699,0.000031241983,0.00001253195],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987101,0.000029331713,0.00052829296,0.00037340054,0.00013823445,0.00022064277],"domain_scores_gemma":[0.99905956,0.00021492311,0.00039139358,0.00021466087,0.00007673114,0.000042703767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060041825,0.00017184735,0.0007862969,0.0005966068,0.00007587685,0.000023208378,0.0002905136,0.00020283097,0.000013853231],"category_scores_gemma":[0.000056013163,0.0001401183,0.00020104954,0.0020796298,0.00040877212,0.00009500968,0.000021882499,0.00013179446,2.919524e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011907783,0.00012633445,0.0011397055,0.08159074,0.0005246046,7.3014303e-7,0.000032001142,0.000014904906,0.003653641,0.35196495,2.592297e-8,0.56094044],"study_design_scores_gemma":[0.0037687533,0.0006572897,0.0010145126,0.17831692,0.058371212,0.00008632645,0.00011387517,0.020370713,0.1295873,0.5300238,0.068527885,0.009161419],"about_ca_topic_score_codex":9.393165e-7,"about_ca_topic_score_gemma":6.0651763e-7,"teacher_disagreement_score":0.55177903,"about_ca_system_score_codex":0.00003270504,"about_ca_system_score_gemma":0.000093262744,"threshold_uncertainty_score":0.5713858},"labels":[],"label_agreement":null},{"id":"W66639700","doi":"10.1007/978-1-61779-204-5_8","title":"Analyses of PCSK9 Post-translational Modifications Using Time-of-Flight Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Deamidation; Glycosylation; Mass spectrometry; Biochemistry; Time-of-flight mass spectrometry; Proteomics; Gel electrophoresis; Protein mass spectrometry; Tandem mass spectrometry; Peptide; Immunoprecipitation; Proprotein convertase; Chromatography; Enzyme; LDL receptor","score_opus":0.08597239994610421,"score_gpt":0.44534507430902887,"score_spread":0.35937267436292464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W66639700","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050903775,0.00023719354,0.94447136,0.000024110654,0.0000072163534,0.000086245935,0.000054986427,0.000021329735,0.0041937805],"genre_scores_gemma":[0.06482199,0.000013509755,0.93504316,0.000013816875,0.000007731999,0.000026902797,0.000035557474,0.000013346482,0.000024012284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990907,0.00011143421,0.0003890653,0.00022469567,0.000046632867,0.00013752482],"domain_scores_gemma":[0.99920386,0.000103089194,0.00020399332,0.00036976187,0.000093848896,0.000025441801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025290588,0.000104080085,0.00024579148,0.000180104,0.000022784354,0.0000013307001,0.00023209711,0.00015733359,0.0003891975],"category_scores_gemma":[0.00008864943,0.00010453006,0.00010180438,0.00032399863,0.0001511825,0.000019324085,0.00003416938,0.00013038919,0.000001147792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012101243,0.000059918853,0.0006962932,0.000016486421,0.000032875312,6.562356e-7,0.000048768612,0.00009560665,0.98019683,0.018051978,2.5242142e-7,0.0007882341],"study_design_scores_gemma":[0.00008622568,0.000016359227,0.00007818091,0.000009317362,0.000028027767,0.0000030226577,0.000016292413,0.0015020333,0.9174884,0.08064302,0.000039808776,0.00008931627],"about_ca_topic_score_codex":0.000066480156,"about_ca_topic_score_gemma":5.786668e-7,"teacher_disagreement_score":0.06270843,"about_ca_system_score_codex":0.00001917873,"about_ca_system_score_gemma":0.000036088426,"threshold_uncertainty_score":0.42626122},"labels":[],"label_agreement":null},{"id":"W6884517387","doi":"10.1021/pr400099j.s001","title":"Adaptation of a Commonly Used, Chemically Defined\\nMedium for Human Embryonic Stem Cells to Stable Isotope Labeling with\\nAmino Acids in Cell Culture","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Embryonic stem cell; Cell culture; Context (archaeology); Quantitative proteomics; Amino acid; Proteomics","score_opus":0.051396439874393844,"score_gpt":0.2801177780659824,"score_spread":0.22872133819158857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884517387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7174887,0.0010859979,0.010813866,0.0004034475,0.000030091982,0.0050392444,0.2548477,0.0006625297,0.0096284235],"genre_scores_gemma":[0.8636365,0.000004280371,0.09957375,0.00010324548,0.00008427164,0.0035460752,0.030161848,0.00009062939,0.0027994106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911666,0.0000050258404,0.00024455917,0.00026261734,0.00014805832,0.00022305964],"domain_scores_gemma":[0.99912256,0.00004169148,0.00016484453,0.0003176174,0.00024473437,0.000108523054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044412067,0.00015432389,0.0002024757,0.000033361946,0.00004685799,0.000022237786,0.00027568574,0.00014314694,0.00079046475],"category_scores_gemma":[0.00003102329,0.00014753097,0.000046880235,0.00016525951,0.000005751972,0.00008475577,0.00008275867,0.00017287629,0.00002706084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008504735,0.00016465146,0.00018291894,0.00085175066,0.000011030705,0.0000020084976,0.0010591487,0.0020733534,0.96955603,0.00012040428,0.025446383,0.0004472818],"study_design_scores_gemma":[0.0007700405,0.00009311767,0.0000032455596,0.00070434896,0.000009511014,0.0000011868319,0.0004922158,0.00065159495,0.94357216,0.00022312616,0.053266898,0.00021253324],"about_ca_topic_score_codex":0.000019810472,"about_ca_topic_score_gemma":0.00007966555,"teacher_disagreement_score":0.22468585,"about_ca_system_score_codex":0.00010831045,"about_ca_system_score_gemma":0.000086171625,"threshold_uncertainty_score":0.8655035},"labels":[],"label_agreement":null},{"id":"W6893094553","doi":"10.5281/zenodo.14531667","title":"Scoring Information Integration with Statistical Quality Control Enhanced Cross-Run Analysis of Data-Independent Acquisition Proteomics Data (BioRxiv version, Deprecated)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Data integration; Quality (philosophy); Control (management); Data acquisition; Statistical process control; Data quality; Statistical analysis","score_opus":0.04635587143436949,"score_gpt":0.3313152526722325,"score_spread":0.284959381237863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893094553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046881784,0.000019768828,0.93909305,0.00008716979,0.000014055707,0.00040405392,0.00923513,0.00057012,0.00369485],"genre_scores_gemma":[0.9325631,0.0000487949,0.017073764,0.000019387624,0.00003749492,5.5613305e-7,0.050019596,0.00020162079,0.000035656565],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834985,0.00007936835,0.00047630936,0.0005050351,0.0003906839,0.00019872976],"domain_scores_gemma":[0.9977498,0.00006261674,0.00021534938,0.0013086221,0.00057539134,0.00008823245],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082952296,0.00013729856,0.00019655951,0.00023020692,0.0006126124,0.00069243205,0.0012426234,0.000084947016,0.0030111386],"category_scores_gemma":[0.00032694018,0.00013083612,0.00003131589,0.00075847167,0.00013859491,0.0016160762,0.00092253374,0.00027917325,0.00025182284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014246086,0.0004321789,0.00015242,0.0011092254,0.0016111222,0.000008539969,0.0010667649,0.0039024844,0.7346202,0.037638944,0.007895309,0.21013822],"study_design_scores_gemma":[0.0029384398,0.00038946114,0.0043952637,0.000559713,0.0016525862,0.000041140494,0.0010106013,0.42563713,0.37615266,0.0015741608,0.18440695,0.0012419191],"about_ca_topic_score_codex":0.000048828166,"about_ca_topic_score_gemma":0.0000016766323,"teacher_disagreement_score":0.9220193,"about_ca_system_score_codex":0.00016373358,"about_ca_system_score_gemma":0.000013678343,"threshold_uncertainty_score":0.99790025},"labels":[],"label_agreement":null},{"id":"W6894303995","doi":"10.5683/sp3/qja2r5","title":"Dataset for Supplemental Tables in the study - \"Regulation of Bcl-xL translation by eIF3F and PDCD4\"","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Construct (python library); Translation (biology); Word (group theory); Information system","score_opus":0.01816271494650357,"score_gpt":0.3252503508754172,"score_spread":0.30708763592891364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894303995","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000881103,0.00013493396,0.0008041574,0.00018797518,0.0000038531593,0.0011456975,0.9975979,0.0000076020633,0.000029824609],"genre_scores_gemma":[0.00034549492,0.00017336902,0.0019526156,0.000035689845,0.000028927949,0.0011177831,0.9963246,0.0000068359195,0.00001469347],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991414,0.000018659468,0.00033500697,0.00026088272,0.00013034516,0.000113720926],"domain_scores_gemma":[0.9991081,0.0001367373,0.00017240767,0.00054627616,0.000021413065,0.00001509686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001824715,0.00015365725,0.00019843984,0.000049002945,0.00007360772,0.000024563069,0.00029226154,0.00012705507,0.000054248296],"category_scores_gemma":[0.000014908082,0.00013074589,0.00002951387,0.00008195207,0.00003930749,0.00005936633,0.000040016657,0.00012380058,2.9667047e-8],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026754027,0.0001951592,0.000028825507,0.0001877878,0.00001730459,1.7034031e-7,0.00004429491,0.0000025854497,0.0007398737,0.000051801457,0.99753135,0.0011740711],"study_design_scores_gemma":[0.0005354632,0.000033240023,0.000021461356,0.000036492092,0.00009261903,6.1947645e-7,0.00021927408,0.000050140236,0.0026311022,0.000785441,0.9954769,0.00011725842],"about_ca_topic_score_codex":0.0101054525,"about_ca_topic_score_gemma":0.008123158,"teacher_disagreement_score":0.0020544832,"about_ca_system_score_codex":0.000025785623,"about_ca_system_score_gemma":0.000025387111,"threshold_uncertainty_score":0.99648637},"labels":[],"label_agreement":null},{"id":"W6902032458","doi":"10.60692/w4pwz-ddg78","title":"Additional file 25 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Table (database); Messenger RNA; Pancreatic ductal adenocarcinoma; Proteogenomics; Adenocarcinoma","score_opus":0.016338421198417857,"score_gpt":0.2119356395784142,"score_spread":0.19559721837999633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902032458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472247,0.000024691022,0.0010387183,0.000021537922,0.000012349988,0.00052205217,0.04940388,0.000056228117,0.0016958518],"genre_scores_gemma":[0.9904338,7.4550155e-7,0.0021380545,0.000007675797,0.000023706376,0.0033558162,0.003940526,0.0000056123877,0.00009406821],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993617,0.000019852625,0.0003674821,0.00009064102,0.00008299829,0.000077303586],"domain_scores_gemma":[0.9992751,0.000034689438,0.00037491592,0.00024304609,0.000049841598,0.000022423666],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000027943039,0.00009349805,0.00015783151,0.000061860366,0.00017557052,0.000007954128,0.00011044556,0.000037028174,0.009999631],"category_scores_gemma":[0.000007247379,0.000066104454,0.000046154077,0.00008102641,0.00006617128,0.00006980286,0.000070206224,0.000045548983,0.0000111083245],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010814227,0.0002055914,0.16953155,0.00405602,0.0015178815,0.00001009377,0.7339066,0.00085333147,0.011463958,0.043502025,0.024272505,0.009598972],"study_design_scores_gemma":[0.008521201,0.0027728311,0.07138776,0.00092368416,0.0005685353,0.0010027784,0.2109723,0.018138837,0.24332899,0.0021321387,0.4378824,0.0023685545],"about_ca_topic_score_codex":0.00002225959,"about_ca_topic_score_gemma":1.5816241e-7,"teacher_disagreement_score":0.5229343,"about_ca_system_score_codex":0.000113452916,"about_ca_system_score_gemma":0.000036999063,"threshold_uncertainty_score":0.99090534},"labels":[],"label_agreement":null},{"id":"W6902121899","doi":"10.6084/m9.figshare.19844685","title":"Additional file 2 of Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Memorial University of Newfoundland; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Proteomics; Osteoarthritis; Biomarker; Proteome","score_opus":0.016953642206886315,"score_gpt":0.24975935501619076,"score_spread":0.23280571280930445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902121899","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044448778,0.000013950583,0.00031199976,0.000057912803,0.000005196405,0.0002567618,0.9934605,0.00013569908,0.0057135653],"genre_scores_gemma":[0.0012273171,1.8127065e-7,0.15499496,0.000053537733,0.00004628662,0.011499945,0.83128345,0.000031178635,0.0008631586],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903464,0.0000069051466,0.00022749353,0.00027673465,0.00025392036,0.00020027501],"domain_scores_gemma":[0.9989787,0.00029103557,0.00025096867,0.0003443854,0.00007767183,0.00005726517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000017041053,0.00013056837,0.00013395482,0.00007584498,0.00019853584,0.000019304929,0.00034331187,0.00006504901,0.99809086],"category_scores_gemma":[0.0003788685,0.00016696326,0.00012308947,0.0003151414,0.000014397283,0.00005912229,0.00016644916,0.00025335088,0.00021606206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010574615,0.000054212112,0.0000011097146,0.00008050497,0.000010654931,0.0000031209004,0.000002338207,0.000037261096,0.07700804,0.000013698448,0.92247677,0.00030169345],"study_design_scores_gemma":[0.00027730234,0.000033420292,0.00003355008,0.00041629,0.0000035952403,0.000012455636,0.00003260071,0.00034978968,0.17859404,0.000365291,0.8196726,0.0002090597],"about_ca_topic_score_codex":0.0000014813959,"about_ca_topic_score_gemma":0.0000011292227,"teacher_disagreement_score":0.9978748,"about_ca_system_score_codex":0.0001194315,"about_ca_system_score_gemma":0.00013490209,"threshold_uncertainty_score":0.6808564},"labels":[],"label_agreement":null},{"id":"W6902219064","doi":"10.6084/m9.figshare.26640538","title":"Additional file 1 of Altered plasma protein profiles in genetic FTD – a GENFI study","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; University of Toronto; Western University; McGill University Health Centre; Sunnybrook Health Science Centre; Université Laval","funders":"","keywords":"Table (database); Antibody; Genetic variants; Genetic variation; Blood proteins","score_opus":0.026132368698535427,"score_gpt":0.31156442999651146,"score_spread":0.28543206129797605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902219064","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50177085,0.000026271558,0.00009568054,0.000053139574,0.000007689089,0.0020987873,0.45943177,0.0000146398925,0.036501147],"genre_scores_gemma":[0.28353456,0.0000029615446,0.6251367,0.000006843242,0.0001703942,0.028516177,0.029955687,0.000062342806,0.032614328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930143,0.000007992318,0.00022055574,0.0002732352,0.00009024222,0.00010655767],"domain_scores_gemma":[0.9995619,0.000108898515,0.000055774453,0.00022467975,0.000021457661,0.000027258822],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000032890544,0.00008670759,0.00011392226,0.00003574196,0.00002747477,0.000049621234,0.0002833773,0.000046480327,0.80067295],"category_scores_gemma":[0.000039603237,0.000084864405,0.000026465257,0.00012718237,0.000028314007,0.000065494976,0.00014969848,0.00012349349,0.00023094809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078357625,0.0011754975,0.000071090086,0.00017001048,0.000077496305,0.00006622503,0.00079023396,0.000042849817,0.17137627,0.00011188289,0.60436577,0.22167434],"study_design_scores_gemma":[0.00022940079,0.00006782008,0.00011177974,0.00053802616,0.0000084142,0.0000091219745,0.00033023916,0.0012390381,0.25178087,0.0012186401,0.7442709,0.00019573086],"about_ca_topic_score_codex":0.000014838199,"about_ca_topic_score_gemma":0.000043156586,"teacher_disagreement_score":0.800442,"about_ca_system_score_codex":0.00003195435,"about_ca_system_score_gemma":0.000101754136,"threshold_uncertainty_score":0.34606698},"labels":[],"label_agreement":null},{"id":"W6907654285","doi":"10.25345/c5t43jf8s","title":"MassIVE MSV000097804 - LC-MS/MS Human Heart Proteomics","year":2025,"lang":"te","type":"dataset","venue":"California Digital Library","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Proteomics; Identification (biology); Disease","score_opus":0.00863335819912384,"score_gpt":0.249516159103615,"score_spread":0.24088280090449116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907654285","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00086788647,0.0004129616,0.0014441956,0.0020117557,0.00010775864,0.0020924592,0.96395665,0.0010238043,0.028082514],"genre_scores_gemma":[0.00068796234,0.00043161557,0.0133724995,0.0014162584,0.0010972252,0.0016703747,0.9696346,0.00020946817,0.011479982],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99471694,0.00004454951,0.0016260387,0.001892094,0.00051641994,0.001203949],"domain_scores_gemma":[0.9951455,0.00019499386,0.0008597567,0.0030642434,0.00010199195,0.00063353754],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.000079321166,0.0014724074,0.001331055,0.00028145727,0.00069633743,0.0016628911,0.002384585,0.0016422451,0.0032700945],"category_scores_gemma":[0.00011506657,0.0015788242,0.0007817869,0.0006780354,0.000448796,0.0012801988,0.0025990277,0.0023188356,0.0018502895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010370999,0.00047469957,0.00031425367,0.0012466538,0.0001529071,0.000064313164,0.000004341603,0.000010652944,0.0020095329,0.0015188968,0.99366057,0.00043945955],"study_design_scores_gemma":[0.0005430281,0.000080979386,0.0000029280604,0.0010882505,0.00012530347,0.000031453794,0.000019802268,0.00004288598,0.06374626,0.019805804,0.91305524,0.0014580939],"about_ca_topic_score_codex":0.000016045644,"about_ca_topic_score_gemma":8.7828926e-7,"teacher_disagreement_score":0.080605365,"about_ca_system_score_codex":0.0002520808,"about_ca_system_score_gemma":0.0009516855,"threshold_uncertainty_score":0.99998283},"labels":[],"label_agreement":null},{"id":"W6911012862","doi":"10.5281/zenodo.10558293","title":"ATR phosphoproteomics","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Phosphoproteomics; Proteome; Identification (biology)","score_opus":0.030430087791629475,"score_gpt":0.2657224538908711,"score_spread":0.23529236609924165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6911012862","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20231895,0.000088680805,0.06203708,0.0032330863,0.00008855041,0.0010222174,0.0010463633,0.016346669,0.71381843],"genre_scores_gemma":[0.9513645,0.0006836965,0.01512606,0.0002812055,0.0004983481,0.0000011736618,0.00800275,0.0049381997,0.019104028],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898636,0.000022067727,0.00017687707,0.000325972,0.00018478827,0.00030391134],"domain_scores_gemma":[0.9991085,0.00001342782,0.00007313661,0.00049557106,0.00019672028,0.000112675596],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023250534,0.00010763264,0.00009384502,0.00009259893,0.001554174,0.00026200133,0.0007547936,0.000071120245,0.012810554],"category_scores_gemma":[0.00017455067,0.000121654426,0.00004871564,0.0005352443,0.000091674345,0.00011081694,0.000822687,0.00023947847,0.01092296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061264866,0.00012227263,0.000010647885,0.00013780143,0.00004184899,0.000017714303,0.0005474387,0.00020085195,0.3724651,0.03222494,0.3850529,0.20911723],"study_design_scores_gemma":[0.00017976544,0.000021371327,0.000026708121,0.0000149429525,0.000004611279,0.000028243345,0.000111667134,0.00062448735,0.054102365,0.0028319668,0.9419115,0.00014233637],"about_ca_topic_score_codex":0.0000069186112,"about_ca_topic_score_gemma":5.7621037e-8,"teacher_disagreement_score":0.7490456,"about_ca_system_score_codex":0.00009930373,"about_ca_system_score_gemma":0.0000019985207,"threshold_uncertainty_score":0.99974567},"labels":[],"label_agreement":null},{"id":"W6912130768","doi":"10.5281/zenodo.16284656","title":"Figure data for the paper: Scoring Information Integration with Statistical Quality Control Enhanced Cross-Run Analysis of Data-Independent Acquisition Proteomics Data","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Upload; Data integration; Data quality; Code (set theory); Data acquisition; Quality (philosophy)","score_opus":0.05302250745794914,"score_gpt":0.35227795823314734,"score_spread":0.2992554507751982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912130768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026841648,0.00002192756,0.96842515,0.00039419738,0.000011179208,0.000873565,0.024118813,0.00020522406,0.003265763],"genre_scores_gemma":[0.8070563,0.0000798598,0.031907767,0.00011233572,0.000048679653,0.0000022982053,0.1605222,0.0001607224,0.00010980684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984267,0.00007557996,0.0005001943,0.00049966207,0.00030435744,0.00019354788],"domain_scores_gemma":[0.9957247,0.00017906407,0.0003306693,0.0030377659,0.0006788052,0.0000490444],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012496458,0.00012925263,0.00020686991,0.00011924064,0.001092199,0.00054238015,0.0029822325,0.00007486659,0.0013010731],"category_scores_gemma":[0.001046033,0.00010515568,0.000025353243,0.00055695674,0.00015721231,0.0014691473,0.0019594003,0.00023701135,0.000032227155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029765556,0.0005882369,0.0001099397,0.0011502047,0.0026131624,0.0000011956126,0.0007683634,0.005364457,0.27548817,0.13021953,0.031648465,0.5490717],"study_design_scores_gemma":[0.0030439456,0.0001592117,0.00234617,0.0002071352,0.0014304025,0.0000061065302,0.0010822152,0.42753455,0.042375285,0.0020882026,0.51916957,0.00055718946],"about_ca_topic_score_codex":0.00005691664,"about_ca_topic_score_gemma":0.0000068287277,"teacher_disagreement_score":0.9365174,"about_ca_system_score_codex":0.000098145756,"about_ca_system_score_gemma":0.000018611136,"threshold_uncertainty_score":0.99961185},"labels":[],"label_agreement":null},{"id":"W6912300082","doi":"10.5281/zenodo.16284655","title":"Figure data for the paper: Scoring Information Integration with Statistical Quality Control Enhanced Cross-Run Analysis of Data-Independent Acquisition Proteomics Data","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Upload; Data integration; Data quality; Code (set theory); Data acquisition; Quality (philosophy)","score_opus":0.05302250745794914,"score_gpt":0.35227795823314734,"score_spread":0.2992554507751982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912300082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026841648,0.00002192756,0.96842515,0.00039419738,0.000011179208,0.000873565,0.024118813,0.00020522406,0.003265763],"genre_scores_gemma":[0.8070563,0.0000798598,0.031907767,0.00011233572,0.000048679653,0.0000022982053,0.1605222,0.0001607224,0.00010980684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984267,0.00007557996,0.0005001943,0.00049966207,0.00030435744,0.00019354788],"domain_scores_gemma":[0.9957247,0.00017906407,0.0003306693,0.0030377659,0.0006788052,0.0000490444],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012496458,0.00012925263,0.00020686991,0.00011924064,0.001092199,0.00054238015,0.0029822325,0.00007486659,0.0013010731],"category_scores_gemma":[0.001046033,0.00010515568,0.000025353243,0.00055695674,0.00015721231,0.0014691473,0.0019594003,0.00023701135,0.000032227155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029765556,0.0005882369,0.0001099397,0.0011502047,0.0026131624,0.0000011956126,0.0007683634,0.005364457,0.27548817,0.13021953,0.031648465,0.5490717],"study_design_scores_gemma":[0.0030439456,0.0001592117,0.00234617,0.0002071352,0.0014304025,0.0000061065302,0.0010822152,0.42753455,0.042375285,0.0020882026,0.51916957,0.00055718946],"about_ca_topic_score_codex":0.00005691664,"about_ca_topic_score_gemma":0.0000068287277,"teacher_disagreement_score":0.9365174,"about_ca_system_score_codex":0.000098145756,"about_ca_system_score_gemma":0.000018611136,"threshold_uncertainty_score":0.99961185},"labels":[],"label_agreement":null},{"id":"W6920343869","doi":"10.60692/b2ahm-h2y98","title":"Additional file 1 of Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser capture microdissection; Microdissection; Pancreatic ductal adenocarcinoma; Coring; Table (database); Adenocarcinoma; Cell; Transcriptome","score_opus":0.026943497022003427,"score_gpt":0.23882339839784084,"score_spread":0.2118799013758374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920343869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8940913,0.00000957706,0.004457874,7.449086e-7,0.000007586848,0.00035471792,0.10098363,0.000019285386,0.00007525522],"genre_scores_gemma":[0.9786232,1.9799789e-7,0.01831333,0.0000017260882,0.000015265075,0.00084272615,0.0021545691,0.000007924111,0.000041043124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992503,0.000009646187,0.00045748078,0.00010201349,0.00009790847,0.00008266279],"domain_scores_gemma":[0.9990922,0.00004735617,0.0006346099,0.00012119109,0.000079984326,0.000024661462],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000046266316,0.000093330644,0.00020239729,0.000107593434,0.000106415624,0.000010213477,0.00005574196,0.00002520026,0.0034724853],"category_scores_gemma":[0.000014087654,0.000094718605,0.000038946793,0.0000766049,0.00003371419,0.000111459754,0.00006579799,0.00004537165,6.282029e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015466406,0.00011096427,0.121402726,0.033996273,0.00062799087,0.0000041420844,0.039630312,0.011751776,0.782884,0.0002346279,0.007445268,0.00036527705],"study_design_scores_gemma":[0.0010988063,0.00018449556,0.009293271,0.00053698855,0.00020431301,0.00018877425,0.013719437,0.021307543,0.9527162,0.000022215196,0.00040828675,0.00031967778],"about_ca_topic_score_codex":0.000012889869,"about_ca_topic_score_gemma":4.3682917e-8,"teacher_disagreement_score":0.1698322,"about_ca_system_score_codex":0.00007096118,"about_ca_system_score_gemma":0.000031941916,"threshold_uncertainty_score":0.9974385},"labels":[],"label_agreement":null},{"id":"W6920493513","doi":"10.6084/m9.figshare.14396578","title":"Additional file 2 of The impact of different preanalytical methods related to CA 15-3 determination in frozen human blood samples: a systematic review","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human blood; Scale (ratio); Quality (philosophy); Blood preservation; Quality assessment","score_opus":0.038626744881751336,"score_gpt":0.37903846024617643,"score_spread":0.3404117153644251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920493513","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024841444,0.0001912966,0.000020872345,0.000013057752,6.3954235e-7,0.00042160114,0.9980712,0.000015487356,0.0010174614],"genre_scores_gemma":[0.010493378,0.0000075641105,0.014545644,0.000028407081,0.000009217563,0.004890992,0.96939397,0.000020232419,0.0006106072],"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","domain_scores_codex":[0.999143,0.00006338893,0.0004363776,0.00015323375,0.00011616407,0.00008783365],"domain_scores_gemma":[0.9983833,0.0007486322,0.0002688847,0.00041809602,0.00014552946,0.000035583736],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000033315835,0.00009604127,0.00033182773,0.000022765364,0.000027194501,0.0000055652135,0.00019593752,0.000068981055,0.91923964],"category_scores_gemma":[0.0043919636,0.00006765259,0.00019015657,0.00021789061,0.0000060858183,0.000023029714,0.00011334675,0.00012651451,0.000018693361],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023638127,0.00032707755,0.000010359826,0.09390809,0.00011267471,0.0000034911695,0.000069809335,0.000012989716,0.01805358,0.000081876315,0.88719004,0.00022762595],"study_design_scores_gemma":[0.00021101852,0.000041716416,0.000877578,0.86171126,0.00019701311,0.00003556331,0.000031322354,0.00082611555,0.13071121,0.003241196,0.001826896,0.00028908212],"about_ca_topic_score_codex":0.000003984189,"about_ca_topic_score_gemma":0.000005332783,"teacher_disagreement_score":0.9192209,"about_ca_system_score_codex":0.00006370638,"about_ca_system_score_gemma":0.000057224715,"threshold_uncertainty_score":0.5257908},"labels":[],"label_agreement":null},{"id":"W6920552195","doi":"10.60692/xeej3-bkr84","title":"Additional file 25 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Table (database); Messenger RNA; Pancreatic ductal adenocarcinoma; Proteogenomics; Adenocarcinoma","score_opus":0.016338421198417857,"score_gpt":0.2119356395784142,"score_spread":0.19559721837999633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920552195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472247,0.000024691022,0.0010387183,0.000021537922,0.000012349988,0.00052205217,0.04940388,0.000056228117,0.0016958518],"genre_scores_gemma":[0.9904338,7.4550155e-7,0.0021380545,0.000007675797,0.000023706376,0.0033558162,0.003940526,0.0000056123877,0.00009406821],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993617,0.000019852625,0.0003674821,0.00009064102,0.00008299829,0.000077303586],"domain_scores_gemma":[0.9992751,0.000034689438,0.00037491592,0.00024304609,0.000049841598,0.000022423666],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000027943039,0.00009349805,0.00015783151,0.000061860366,0.00017557052,0.000007954128,0.00011044556,0.000037028174,0.009999631],"category_scores_gemma":[0.000007247379,0.000066104454,0.000046154077,0.00008102641,0.00006617128,0.00006980286,0.000070206224,0.000045548983,0.0000111083245],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010814227,0.0002055914,0.16953155,0.00405602,0.0015178815,0.00001009377,0.7339066,0.00085333147,0.011463958,0.043502025,0.024272505,0.009598972],"study_design_scores_gemma":[0.008521201,0.0027728311,0.07138776,0.00092368416,0.0005685353,0.0010027784,0.2109723,0.018138837,0.24332899,0.0021321387,0.4378824,0.0023685545],"about_ca_topic_score_codex":0.00002225959,"about_ca_topic_score_gemma":1.5816241e-7,"teacher_disagreement_score":0.5229343,"about_ca_system_score_codex":0.000113452916,"about_ca_system_score_gemma":0.000036999063,"threshold_uncertainty_score":0.99090534},"labels":[],"label_agreement":null},{"id":"W6920625956","doi":"10.6084/m9.figshare.11972481","title":"Additional file 2 of RapidAIM: a culture- and metaproteomics-based Rapid Assay of Individual Microbiome responses to drugs","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"","keywords":"Microbiome; Butyrate; Reproducibility; Workflow","score_opus":0.026033160326062118,"score_gpt":0.2597665982524009,"score_spread":0.23373343792633877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920625956","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025177965,0.000045835237,0.000036548627,0.00021512508,8.325044e-7,0.00022120978,0.99824995,0.000059872156,0.00091883703],"genre_scores_gemma":[0.004524919,9.077176e-7,0.09162902,0.00044737113,0.00004690038,0.0020164954,0.9009171,0.000022555909,0.00039471078],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925125,0.000016032856,0.0002342874,0.00024193063,0.00013624234,0.00012025157],"domain_scores_gemma":[0.99886054,0.0005171604,0.00020400564,0.00018918267,0.00012405132,0.00010508038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000025355816,0.0001287491,0.00019982734,0.00004189733,0.00004463051,0.000014497851,0.00025054865,0.00010227814,0.93562895],"category_scores_gemma":[0.001385334,0.00012893732,0.00007909375,0.00019486633,0.000021354319,0.000044629945,0.00013608571,0.00012773361,0.00008961194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005117807,0.000023951661,4.503841e-7,0.00017914995,0.000018386287,5.429136e-7,0.00010518872,0.0000023466457,0.09012108,0.0000055072487,0.9085173,0.00097493007],"study_design_scores_gemma":[0.00012409477,0.000031889493,0.000014988891,0.0004318477,0.0000061584306,0.0000010601755,0.000030944575,0.000030419049,0.42208034,0.000033811808,0.5771162,0.00009825137],"about_ca_topic_score_codex":6.3465774e-7,"about_ca_topic_score_gemma":1.6102422e-7,"teacher_disagreement_score":0.93553936,"about_ca_system_score_codex":0.0000131086645,"about_ca_system_score_gemma":0.00008999895,"threshold_uncertainty_score":0.5257911},"labels":[],"label_agreement":null},{"id":"W6920748176","doi":"10.6084/m9.figshare.17047059.v1","title":"Additional file 2 of Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Hepatocellular carcinoma; Intensity (physics); Transplantation; Correlation; Signature (topology); Milan criteria","score_opus":0.015467024416337733,"score_gpt":0.23039145597073865,"score_spread":0.2149244315544009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920748176","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031532675,0.00008388687,0.00008951366,0.00002870613,0.000003997275,0.0003983098,0.9954173,0.000034597095,0.00079045055],"genre_scores_gemma":[0.05963275,0.0000063170323,0.02020435,0.000027098815,0.00002991349,0.003633493,0.91612345,0.0000194338,0.00032319428],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928355,0.000007426494,0.00023793202,0.00023247264,0.000113275506,0.00012532408],"domain_scores_gemma":[0.99886525,0.00027806315,0.00018915204,0.00021191387,0.0004163452,0.00003928291],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000008966738,0.00012023968,0.00016691002,0.000024926007,0.00005054866,0.000006136613,0.00016371932,0.00014642726,0.8963535],"category_scores_gemma":[0.00020111134,0.00013534057,0.00013101975,0.00009553774,0.000013974795,0.00006609242,0.000016555652,0.00014027994,0.000019658974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006422218,0.00006368493,0.000005338801,0.0016576711,0.000012844243,0.000007795733,0.00006366836,0.0000026191426,0.18954527,0.000067726396,0.80818737,0.00032181464],"study_design_scores_gemma":[0.0003032639,0.000038380193,0.00013524844,0.0014092758,0.000016517663,0.00001306796,0.0000200494,0.0006917331,0.9023529,0.00059848843,0.094266236,0.0001547965],"about_ca_topic_score_codex":0.0000024649962,"about_ca_topic_score_gemma":0.0000028462148,"teacher_disagreement_score":0.8963338,"about_ca_system_score_codex":0.000022193699,"about_ca_system_score_gemma":0.0001468185,"threshold_uncertainty_score":0.55190283},"labels":[],"label_agreement":null},{"id":"W6920790087","doi":"10.6084/m9.figshare.14737238.v1","title":"Additional file 2 of PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quantitative analysis (chemistry); Quantitative proteomics; Proteomics; Functional analysis; Functional data analysis","score_opus":0.05646916334558473,"score_gpt":0.3112640525223294,"score_spread":0.2547948891767447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920790087","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011174635,0.000014739184,0.0055056564,0.0000706684,0.000003218675,0.00062309345,0.9903025,0.00007852477,0.0032898432],"genre_scores_gemma":[0.001015913,2.599651e-7,0.19843684,0.00002719544,0.00006926005,0.041469622,0.7546512,0.000018427323,0.0043113003],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998901,0.000011916795,0.00035123166,0.00037553816,0.00019162592,0.0001686871],"domain_scores_gemma":[0.9979979,0.00054751785,0.00037212452,0.00031392294,0.0007084463,0.000060079663],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001866616,0.00015851008,0.00022937362,0.00007586909,0.00012825518,0.000028779179,0.00013441729,0.00011029474,0.98717964],"category_scores_gemma":[0.0018471167,0.00017357651,0.00026076447,0.00042853944,0.000012631518,0.00011670811,0.00008498379,0.00016305255,0.00017932641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033106346,0.00012469108,6.725573e-7,0.00019173003,0.00023171786,0.0000016063938,0.000012020488,0.00017900456,0.039129265,0.00052917295,0.9593867,0.00018028007],"study_design_scores_gemma":[0.00017393049,0.000031489897,0.000020538238,0.00092720834,0.000038747658,0.0000043947066,0.000077449666,0.001659235,0.3419469,0.0018907028,0.65302455,0.00020485863],"about_ca_topic_score_codex":0.000002462349,"about_ca_topic_score_gemma":0.000008073596,"teacher_disagreement_score":0.9870003,"about_ca_system_score_codex":0.00010823146,"about_ca_system_score_gemma":0.00022628925,"threshold_uncertainty_score":0.70782447},"labels":[],"label_agreement":null},{"id":"W6920958714","doi":"10.6084/m9.figshare.13545652","title":"Additional file 2 of Evaluation of the potential of Pap test fluid and cervical swabs to serve as clinical diagnostic biospecimens for the detection of ovarian cancer by mass spectrometry-based proteomics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Cervical cancer; Identification (biology); Ovarian cancer; Proteomics; Pap test; Proteome","score_opus":0.025642009968311757,"score_gpt":0.3109577417926043,"score_spread":0.2853157318242926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920958714","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037323115,0.000069093156,0.0013950509,0.00023045056,0.000008240947,0.0007129476,0.99376583,0.0000085537595,0.00007754973],"genre_scores_gemma":[0.6699075,0.000013250404,0.035313293,0.000096940596,0.00018973042,0.009255429,0.28508496,0.00003602349,0.00010284708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990736,0.000025931775,0.0003715523,0.00018774622,0.0002529261,0.0000882149],"domain_scores_gemma":[0.99622244,0.0024400817,0.00036222683,0.0002961758,0.0006465116,0.000032585453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008596125,0.00008435302,0.00016170372,0.000016405518,0.000055972894,0.0000056457397,0.00013955866,0.000109394874,0.48947746],"category_scores_gemma":[0.0068100793,0.00006562087,0.000118267046,0.0001979338,0.0000316954,0.000022704737,0.00006888746,0.00010998839,0.0000026210205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043872733,0.00016261725,0.000043047963,0.0002852561,0.00004325559,1.481693e-7,0.000007425061,0.0002362011,0.8326621,0.0000146651455,0.1652719,0.0012295309],"study_design_scores_gemma":[0.00034815207,0.000061328385,0.0028456252,0.0007048833,0.000065397435,0.0000015273081,0.000022207885,0.004470589,0.9825914,0.0007136679,0.008100951,0.00007427727],"about_ca_topic_score_codex":0.000014036046,"about_ca_topic_score_gemma":0.000020431595,"teacher_disagreement_score":0.70868087,"about_ca_system_score_codex":0.000042714382,"about_ca_system_score_gemma":0.00024302238,"threshold_uncertainty_score":0.8152793},"labels":[],"label_agreement":null},{"id":"W6920984332","doi":"10.6084/m9.figshare.28942931","title":"Additional file 2 of Cerebrospinal fluid proteome profiling across the Alzheimer’s disease continuum: a step towards solving the equation for ‘X’","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Profiling (computer programming); Proteome; Disease; Cerebrospinal fluid; Feature (linguistics)","score_opus":0.042461442468915415,"score_gpt":0.319698818403455,"score_spread":0.27723737593453956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920984332","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030472162,0.00010117856,0.0011866427,0.00035780625,0.0000057075426,0.0011114726,0.9955672,0.000077464676,0.0015620271],"genre_scores_gemma":[0.0035246257,7.9266096e-7,0.017778678,0.00013417758,0.00015236378,0.050525833,0.9262198,0.000020356096,0.0016433591],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922615,0.000008661083,0.00022737285,0.00021160473,0.00013179479,0.00019441643],"domain_scores_gemma":[0.99850196,0.000670769,0.00019689865,0.00035708316,0.00024048744,0.00003281123],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000041632757,0.00011831048,0.000104710125,0.0000109901475,0.0003886332,0.00005195974,0.000359129,0.00006320765,0.6392035],"category_scores_gemma":[0.001562878,0.00008152208,0.0001226044,0.00011982506,0.000028782022,0.00007380491,0.00015060768,0.00014581197,0.000032533495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029495017,0.000022729657,0.0000012189173,0.00016745248,0.000023623377,1.4307639e-7,0.000020281423,0.000014723391,0.0009987107,0.00021173556,0.9943056,0.004204263],"study_design_scores_gemma":[0.00015686623,0.000011453929,0.0001508625,0.0017117688,0.000024865474,6.862846e-7,0.0000885668,0.0061557954,0.06576701,0.0027128141,0.92308635,0.0001329426],"about_ca_topic_score_codex":0.0000021786743,"about_ca_topic_score_gemma":0.000002864692,"teacher_disagreement_score":0.63917094,"about_ca_system_score_codex":0.00003224215,"about_ca_system_score_gemma":0.00018569018,"threshold_uncertainty_score":0.36112633},"labels":[],"label_agreement":null},{"id":"W6921917789","doi":"10.1021/acs.jproteome.1c00249.s001","title":"Performance Assessment\\nof a 125 Human Plasma Peptide\\nMixture Stored at Room Temperature for Multiple Reaction Monitoring–Mass\\nSpectrometry","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peptide; Human plasma; Mass spectrometry; Calibration curve; Calibration; Analytical Chemistry (journal); Dry ice; Quantitative analysis (chemistry)","score_opus":0.025499884295981403,"score_gpt":0.30357584063365683,"score_spread":0.27807595633767546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921917789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8517167,0.00021367484,0.00008660319,0.00019405707,0.000093706476,0.00080068444,0.1379822,0.0008758101,0.008036581],"genre_scores_gemma":[0.8355018,0.000023756307,0.031058656,0.00003080724,0.000678062,0.0027611905,0.120824,0.00008441294,0.009037341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870217,0.000008259324,0.00024579733,0.0005121982,0.0002024575,0.00032913886],"domain_scores_gemma":[0.99880195,0.00008757049,0.0001963513,0.00057384965,0.00025392007,0.0000863366],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000029517989,0.00025006794,0.00022010745,0.000043450873,0.000531091,0.00007391855,0.00024203984,0.00032586325,0.009627688],"category_scores_gemma":[0.0001648558,0.00027072764,0.00014182442,0.0002081809,0.0000058042633,0.00020223581,0.00011802085,0.0005046598,0.000055932047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018011557,0.000056729823,0.0014532711,0.00035725004,0.000026999121,0.0000038478065,0.000030261986,0.000029726027,0.9537963,0.000018749968,0.04384919,0.00035964715],"study_design_scores_gemma":[0.0005204408,0.000029571114,0.0014989683,0.0006220907,0.000016089674,0.000014454289,0.00007810825,0.0005503388,0.8750168,0.0000736511,0.1212713,0.00030816268],"about_ca_topic_score_codex":0.000001674359,"about_ca_topic_score_gemma":0.00000830939,"teacher_disagreement_score":0.078779496,"about_ca_system_score_codex":0.0004569757,"about_ca_system_score_gemma":0.000082438004,"threshold_uncertainty_score":0.9999745},"labels":[],"label_agreement":null},{"id":"W6922956725","doi":"10.1371/journal.pcbi.1007882.s001","title":"Comparison of MS and SomaLogic measurements.","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Identification (biology); Mass spectrometry","score_opus":0.1814396610140112,"score_gpt":0.35516943957861663,"score_spread":0.17372977856460542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922956725","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19500452,0.0067443172,0.0023620212,0.0039437846,0.00002030953,0.0018559973,0.45777798,0.0022204632,0.3300706],"genre_scores_gemma":[0.99055725,0.0000016384619,0.0032898325,0.00007945719,0.000025301375,0.000096632204,0.0059243813,0.000007176528,0.000018304332],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996929,0.000001450339,0.000094586205,0.00009902438,0.000057673464,0.000054354496],"domain_scores_gemma":[0.9997693,0.000011287074,0.0000639641,0.000085697815,0.00002991686,0.000039892268],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000046204104,0.000046610872,0.00008379405,0.0000037145255,0.000023689872,0.000005220282,0.0000827625,0.00003592995,0.033314474],"category_scores_gemma":[0.00008573087,0.000045893692,0.000017183012,0.000034014793,0.0000028884867,0.0000212454,0.00005353471,0.0000627695,0.00004561188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016774264,0.00008877681,0.008027017,0.0010400772,0.00002396705,9.801778e-7,0.0003517467,0.00004244536,0.8250571,0.0002448385,0.15625405,0.008852214],"study_design_scores_gemma":[0.000092420196,0.00001351117,0.00015736898,0.00014147465,0.000003488854,4.2557826e-7,0.000022952512,0.00043872072,0.93334615,0.00023230325,0.065476604,0.00007458919],"about_ca_topic_score_codex":7.4671976e-7,"about_ca_topic_score_gemma":3.1004458e-7,"teacher_disagreement_score":0.79555273,"about_ca_system_score_codex":0.0000050717704,"about_ca_system_score_gemma":0.000006201583,"threshold_uncertainty_score":0.96756923},"labels":[],"label_agreement":null},{"id":"W6923831435","doi":"10.14288/1.0223422","title":"'I guess my own fancy screwed me over': transitions in drug use and the context of choice among young people entrenched in an open drug scene","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Context (archaeology); Psychological intervention; Ethnography; Feeling; Qualitative research; Transition (genetics); Cohort","score_opus":0.014373885661966394,"score_gpt":0.2804320880500306,"score_spread":0.2660582023880642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923831435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9507668,0.000049553455,0.002453511,0.002364307,0.000033269753,0.0031874003,0.0006449017,0.00006863589,0.04043164],"genre_scores_gemma":[0.9641967,0.00014125118,0.002800669,0.00004999767,0.00001845333,0.0022483831,0.00003593024,0.000023117993,0.030485542],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881303,0.00009297023,0.0004081064,0.00037494965,0.000098932076,0.00021200516],"domain_scores_gemma":[0.99880606,0.00031325544,0.00016466217,0.00053157343,0.000093803006,0.000090650436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028856256,0.00015423216,0.00032411647,0.00006930738,0.000713139,0.00051459286,0.0006874625,0.00007447605,0.0004886484],"category_scores_gemma":[0.00012529668,0.00011443856,0.00004176957,0.00074893556,0.0001958767,0.0009790832,0.0002793552,0.00019957169,8.0633225e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030015279,0.006325215,0.4015457,0.00027285184,0.00039475068,0.000015752514,0.056707412,0.00028267194,0.40055197,0.05240304,0.071155936,0.007343179],"study_design_scores_gemma":[0.09472776,0.0002464697,0.17694439,0.0038477993,0.0005420125,0.000092575756,0.04356846,0.0101292385,0.5258833,0.0975419,0.042061448,0.004414658],"about_ca_topic_score_codex":0.10482389,"about_ca_topic_score_gemma":0.3915837,"teacher_disagreement_score":0.28675982,"about_ca_system_score_codex":0.00013656155,"about_ca_system_score_gemma":0.00011619878,"threshold_uncertainty_score":0.9011372},"labels":[],"label_agreement":null},{"id":"W6924736905","doi":"10.15468/dl.mb7t4f","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Hirundo; Species name","score_opus":0.010443065467328514,"score_gpt":0.2423769015910927,"score_spread":0.2319338361237642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924736905","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000057811016,0.00001632801,0.00013259519,0.00011906684,0.00007863701,0.00019642011,0.9978937,0.00020247036,0.0013029642],"genre_scores_gemma":[0.0000027284227,0.00015616688,0.000038103262,0.0002846432,0.0000012473005,0.000026769787,0.9994893,7.4245046e-9,0.0000010235916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989389,0.000008586378,0.00035337638,0.00023348996,0.00023979873,0.00022584929],"domain_scores_gemma":[0.9986799,0.00001669489,0.00027810916,0.00073593174,0.00019423685,0.000095147436],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007649985,0.00025487176,0.0002293312,0.000048393806,0.00027197425,0.00008545974,0.0006322629,0.00043246584,0.0023234405],"category_scores_gemma":[0.00007865914,0.00028202392,0.0001373517,0.00022186372,0.00011771002,0.00039871017,0.00041269246,0.00036655425,0.010780697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020225329,0.000027521994,0.00013640877,0.00030970658,0.000017392533,4.3574252e-7,0.000004972341,0.00000460293,7.651098e-7,8.700393e-7,0.9977609,0.0017162344],"study_design_scores_gemma":[0.00016187107,0.000004703158,9.548993e-7,0.000006627992,0.00003935944,0.0000015273779,0.000032087974,1.5388648e-7,0.00019176611,0.000009878966,0.99930364,0.00024742182],"about_ca_topic_score_codex":0.0002128065,"about_ca_topic_score_gemma":0.000004008176,"teacher_disagreement_score":0.0084572565,"about_ca_system_score_codex":0.00035234715,"about_ca_system_score_gemma":0.00014909184,"threshold_uncertainty_score":0.99996316},"labels":[],"label_agreement":null},{"id":"W6924885320","doi":"10.15468/dl.v7cgn3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); Feature (linguistics)","score_opus":0.013125511294562768,"score_gpt":0.23833626855907147,"score_spread":0.2252107572645087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924885320","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014048807,0.000014816869,0.000036078065,0.00008782301,0.00008374314,0.00019944138,0.9986812,0.00021262467,0.0005437747],"genre_scores_gemma":[0.0000030267818,0.0001278648,0.000018525272,0.00024249376,0.0000011448203,0.000053410182,0.9995531,1.8854747e-8,4.090699e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987938,0.0000131173465,0.00034513016,0.0002418541,0.00036706502,0.00023905047],"domain_scores_gemma":[0.998713,0.000014144071,0.00035262338,0.0006982923,0.00011056689,0.000111378096],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010706652,0.0002470295,0.00021238477,0.00004215539,0.00047716466,0.00007332042,0.0007037482,0.00026270148,0.13239944],"category_scores_gemma":[0.000050466824,0.0002868457,0.00014257815,0.00020824067,0.000110050045,0.00043306273,0.0006284315,0.00049450813,0.023704732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024483965,0.00003535436,0.00013601065,0.00014764853,0.000014675478,9.051123e-7,0.000010196948,0.000012958242,9.0582796e-7,4.98281e-7,0.9985143,0.0011020647],"study_design_scores_gemma":[0.00015931675,0.000009547535,0.000001074769,0.0000011651217,0.000030299596,0.0000049800437,0.00008241057,1.0240053e-7,0.00007058274,0.000008014812,0.9993491,0.00028339383],"about_ca_topic_score_codex":0.0002588021,"about_ca_topic_score_gemma":0.0000030944186,"teacher_disagreement_score":0.10869472,"about_ca_system_score_codex":0.0005311544,"about_ca_system_score_gemma":0.00010568851,"threshold_uncertainty_score":0.9999584},"labels":[],"label_agreement":null},{"id":"W6926473710","doi":"10.25316/ir-12387","title":"Nanaimo Free Press [Tuesday, February 26, 1895]","year":2019,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.008661229426546301,"score_gpt":0.21280863506098657,"score_spread":0.20414740563444028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926473710","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000019336326,0.00039496578,0.00848337,0.00014874365,0.00029477206,0.00042577917,0.00081582693,0.0011864455,0.98824817],"genre_scores_gemma":[0.000120483244,0.001350683,0.0071291593,0.000044787623,0.0003361351,0.000009916665,0.000005536474,0.000544384,0.9904589],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834543,0.000019627963,0.00014904277,0.00077013334,0.00027045675,0.00044527813],"domain_scores_gemma":[0.9977375,0.000045680696,0.0003662724,0.0016443202,0.000057677367,0.00014852377],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003238957,0.00050624774,0.0004959274,0.0002751117,0.00012789312,0.000035108,0.0011422904,0.0007254087,0.0014077517],"category_scores_gemma":[0.000013131475,0.0005576115,0.00021557097,0.00025462534,0.0001229748,0.00012064293,0.00051850633,0.00059158524,0.00018952037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003099818,0.00006518106,0.0000032142157,0.00020727621,0.00010648894,0.00004803971,0.000032330587,0.000016956603,0.00037345616,0.0034683817,0.9952521,0.0003955931],"study_design_scores_gemma":[0.0009121577,0.000020810327,4.0396299e-7,0.00027406748,0.00011531911,0.0000028107622,0.00012164357,0.000032785912,0.002051075,0.00037422142,0.9954166,0.0006781087],"about_ca_topic_score_codex":0.0018417533,"about_ca_topic_score_gemma":0.001573662,"teacher_disagreement_score":0.0030941602,"about_ca_system_score_codex":0.0002118116,"about_ca_system_score_gemma":0.00011572354,"threshold_uncertainty_score":0.99968755},"labels":[],"label_agreement":null},{"id":"W6929155866","doi":"10.3897/zookeys.186.2469.map55","title":"Map 55 from: Webster R, Smetana A, Sweeney J, DeMerchant I (2012) New Staphylinidae (Coleoptera) records with new collection data from New Brunswick and an addition to the fauna of Quebec: Staphylininae. ZooKeys 186: 293-348. https://doi.org/10.3897/zookeys.186.2469","year":2012,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fauna; Data collection; Data collection system; Historical record","score_opus":0.05095509260715262,"score_gpt":0.2792440328097064,"score_spread":0.22828894020255378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929155866","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012961356,0.002681468,0.2073477,0.0033530623,0.00032112704,0.0048681316,0.005299802,0.003009998,0.76015735],"genre_scores_gemma":[0.004507901,0.0010737296,0.032236345,0.00025553227,0.003163863,0.0000019930267,0.02969025,0.004754914,0.92431545],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967783,0.00020203211,0.00063159404,0.0012226237,0.0005905039,0.0005749482],"domain_scores_gemma":[0.99588394,0.00007353301,0.0006941984,0.002331013,0.00030797275,0.0007093621],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033686878,0.00055270095,0.0005440713,0.00030259741,0.0007663259,0.0005076755,0.002039412,0.00039136718,0.3262909],"category_scores_gemma":[0.00014094588,0.0005018757,0.000083126404,0.0005030845,0.00019560248,0.00058861665,0.0014859098,0.00082567806,0.012978352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032800747,0.00015342316,0.00012830088,0.00009042707,0.00023918989,0.0000021289354,0.00051322154,0.0000089124205,0.001468981,0.00035655458,0.97218674,0.024524128],"study_design_scores_gemma":[0.00089200394,0.00021616828,0.0008752333,0.00043970207,0.00016734438,0.0000016700026,0.0002177015,0.00013415061,0.0033384324,0.00048425113,0.992646,0.00058733596],"about_ca_topic_score_codex":0.10501095,"about_ca_topic_score_gemma":0.0056081717,"teacher_disagreement_score":0.31331256,"about_ca_system_score_codex":0.00021286447,"about_ca_system_score_gemma":0.0001632738,"threshold_uncertainty_score":0.9997433},"labels":[],"label_agreement":null},{"id":"W6929188261","doi":"10.48550/arxiv.2507.06446","title":"On Regular Regressors in Adaptive Control","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Property (philosophy); Class (philosophy); Adaptive control; Construct (python library); Characterization (materials science); Control (management)","score_opus":0.03988996589677602,"score_gpt":0.2042556742569055,"score_spread":0.16436570836012948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929188261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4051934,0.00012383069,0.47272405,0.00027524726,0.000099147335,0.0009868102,0.0006454102,0.0006085425,0.119343586],"genre_scores_gemma":[0.988131,0.00017309953,0.0013859582,0.00008272929,0.000026103997,0.000017645118,0.00003815067,0.000017682949,0.010127652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987072,0.00002842733,0.00017771752,0.00080334226,0.00004687157,0.00023646874],"domain_scores_gemma":[0.99858946,0.0001240468,0.00019844186,0.0009488748,0.00006980075,0.00006939393],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007636561,0.00026878776,0.0003201985,0.0001619896,0.00007200576,0.000013762543,0.0006048581,0.00043419504,0.00011186321],"category_scores_gemma":[0.000032823027,0.00032983473,0.00015625845,0.0002291606,0.000090556074,0.00004318564,0.0003544127,0.0008977228,0.000016095337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037554285,0.00017916772,0.0007450058,0.00012402138,0.00008454995,0.0001435103,0.00004006617,0.26979113,0.0005532714,0.72709495,0.00032531304,0.0005435056],"study_design_scores_gemma":[0.0018004129,0.00003894029,0.00006295313,0.0011054649,0.00012755886,0.0000011643863,0.00013407647,0.14372964,0.015935687,0.8340186,0.002219278,0.000826204],"about_ca_topic_score_codex":0.00010975328,"about_ca_topic_score_gemma":0.000026086622,"teacher_disagreement_score":0.5829376,"about_ca_system_score_codex":0.00038975073,"about_ca_system_score_gemma":0.00010194254,"threshold_uncertainty_score":0.99991536},"labels":[],"label_agreement":null},{"id":"W6929463148","doi":"10.48550/arxiv.1506.07850","title":"Logical pre- and post-selection paradoxes are proofs of contextuality","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Kochen–Specker theorem; Von Neumann architecture; Mathematical proof; Class (philosophy); Quantum; Weak measurement","score_opus":0.07304128704012698,"score_gpt":0.23418085681335726,"score_spread":0.1611395697732303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929463148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604843,0.000099560515,0.03643868,0.000044818717,0.000013885357,0.0002966126,0.00017596257,0.00016434467,0.002281783],"genre_scores_gemma":[0.9968837,0.00015143146,0.0015618055,0.000015412266,0.00003624981,0.000007797284,0.000054776167,0.000014987346,0.0012738772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990143,0.000026510737,0.00018911797,0.0005692972,0.00005021921,0.00015052067],"domain_scores_gemma":[0.9987552,0.000043167733,0.0003848928,0.00042305305,0.0002875048,0.00010616698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010464568,0.00019915256,0.00030640804,0.000046240002,0.000066682485,0.000015146433,0.00027360718,0.00037111907,0.00005082202],"category_scores_gemma":[0.00005225542,0.00021737619,0.00008996541,0.000103498845,0.00018297423,0.00006867886,0.0004539961,0.0004563199,0.0000024079457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029623974,0.0024014781,0.23278356,0.004907257,0.0008372379,0.00012266061,0.0015745249,0.052491277,0.15450947,0.5404955,0.0012827443,0.005631861],"study_design_scores_gemma":[0.0020077669,0.000250415,0.0114811985,0.00070580165,0.000500361,0.000032896238,0.0012337273,0.036349863,0.13093965,0.8120211,0.002629691,0.0018475675],"about_ca_topic_score_codex":0.0001359018,"about_ca_topic_score_gemma":0.00003115679,"teacher_disagreement_score":0.27152553,"about_ca_system_score_codex":0.000112137124,"about_ca_system_score_gemma":0.00007758108,"threshold_uncertainty_score":0.8864344},"labels":[],"label_agreement":null},{"id":"W6929472047","doi":"10.5061/dryad.1vhhmgqzg","title":"Data from: Honey bees (Apis mellifera) modify plant-pollinator network structure, but do not alter wild species’ interactions","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pollinator; Foraging; Honey bee; Abundance (ecology); Honey Bees; Pollination; Pollen","score_opus":0.08353714056085518,"score_gpt":0.3538912804587911,"score_spread":0.2703541398979359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929472047","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006875886,0.0001051604,0.00044239598,0.0002649857,0.00039975325,0.0006686053,0.99681455,0.000028753635,0.00058823],"genre_scores_gemma":[0.00008485222,0.0010231863,0.033559103,0.00013740914,0.0020139937,0.0002224856,0.95676297,0.000093177696,0.0061028306],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969797,0.000028462091,0.0006898203,0.0014450307,0.0003447282,0.0005122593],"domain_scores_gemma":[0.9949898,0.0003086276,0.00057973794,0.0038545884,0.00006458655,0.00020266244],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013178663,0.0005792125,0.0006859482,0.00007347892,0.00037329213,0.0006278929,0.004625449,0.0005488828,0.01778593],"category_scores_gemma":[0.000068935704,0.0005859069,0.00010586372,0.0002202767,0.000113477894,0.00038710024,0.0034848193,0.001416489,0.0027677983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006812137,0.000053817836,0.0000037356908,0.00003181925,0.00018004978,0.000027438515,0.000011772547,0.000068330686,0.005896551,0.000018896348,0.99265265,0.0009867961],"study_design_scores_gemma":[0.00024883926,0.00000856689,0.0000013828596,0.00030706232,0.00017919173,0.000012060253,0.000048854105,0.0002036524,0.05151015,0.0011136166,0.9457375,0.00062914455],"about_ca_topic_score_codex":0.0011662908,"about_ca_topic_score_gemma":0.001764463,"teacher_disagreement_score":0.046915192,"about_ca_system_score_codex":0.00013471996,"about_ca_system_score_gemma":0.00015232265,"threshold_uncertainty_score":0.99965924},"labels":[],"label_agreement":null},{"id":"W6929554882","doi":"10.48550/arxiv.hep-ph/0309100","title":"Evidence for Mikheyev-Smirnov-Wolfenstein effects in solar neutrino flavor transitions","year":2003,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Solar neutrino; Neutrino; Neutrino oscillation; Solar neutrino problem; Amplitude; Measurements of neutrino speed; Point (geometry)","score_opus":0.08607298728389588,"score_gpt":0.238486714279274,"score_spread":0.15241372699537814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929554882","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4117198,0.00028357853,0.58346695,0.00015601085,0.000081222264,0.0013703371,0.00016280258,0.00027777083,0.0024815316],"genre_scores_gemma":[0.98447233,0.00060857966,0.012696025,0.000074379044,0.00006641814,0.00012561727,0.00008411766,0.000057073034,0.0018154468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808675,0.00004561681,0.00028983035,0.0010872667,0.000058542544,0.00043197733],"domain_scores_gemma":[0.9982042,0.00033112764,0.00022442854,0.0009775591,0.00012424444,0.00013848406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015263891,0.0003899119,0.00043011544,0.00016877937,0.00017582459,0.000037860667,0.0006484128,0.00053318014,0.00006631303],"category_scores_gemma":[0.000060848837,0.00051032496,0.00032721594,0.00033419306,0.000114117014,0.00017370078,0.00021628522,0.0008121433,0.00001841932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012184664,0.0019418575,0.0101627745,0.010465899,0.00050500274,0.00068516925,0.0007303249,0.24009117,0.20738989,0.5210447,0.0014905769,0.004274208],"study_design_scores_gemma":[0.0051488276,0.0002089797,0.0007219322,0.006483561,0.000923793,0.000024711753,0.00029329935,0.07377088,0.40282574,0.4969187,0.008829484,0.0038500836],"about_ca_topic_score_codex":0.00007407618,"about_ca_topic_score_gemma":0.0000677313,"teacher_disagreement_score":0.57275254,"about_ca_system_score_codex":0.00039256187,"about_ca_system_score_gemma":0.00016009461,"threshold_uncertainty_score":0.9997348},"labels":[],"label_agreement":null},{"id":"W6929648356","doi":"10.5061/dryad.f0gg64v5","title":"Data from: Genetic architecture and adaptive significance of the selfing syndrome in Capsella","year":2011,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Selfing; Outcrossing; Genetic architecture; Population; Mating system; Outbreeding depression; Inbreeding; Reproductive isolation","score_opus":0.059427749065570704,"score_gpt":0.30730668170403075,"score_spread":0.24787893263846006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929648356","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010167929,0.00021867259,0.00027441885,0.000017587463,0.000009556437,0.00049466745,0.98826784,9.902783e-7,0.00054831256],"genre_scores_gemma":[0.0040671234,0.00028860144,0.108361505,0.000017357821,0.000036487778,0.00018045581,0.88663834,0.000028051776,0.000382048],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896365,0.000019755678,0.00025956356,0.00053734734,0.00009028345,0.00012939221],"domain_scores_gemma":[0.99782133,0.00006676046,0.0002874103,0.00177552,0.000014835036,0.000034147786],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007631192,0.00017673323,0.00026969286,0.000021807944,0.00004480373,0.000028985869,0.0023253516,0.00019603322,0.001275346],"category_scores_gemma":[0.000020378155,0.0001415105,0.00001986659,0.000081751605,0.000113257076,0.00004068449,0.0015967609,0.0004548808,0.0000152392995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022457175,0.0005635163,0.00025371995,0.00047529617,0.0003279953,0.00013968564,0.00062141946,0.00021256202,0.033611376,0.000029324732,0.9108898,0.052650698],"study_design_scores_gemma":[0.00020399969,0.000013961751,0.00007841374,0.0004459263,0.00008080071,0.0000201706,0.00003790668,0.000049381506,0.016501756,0.0020786638,0.9801865,0.00030251182],"about_ca_topic_score_codex":0.001339118,"about_ca_topic_score_gemma":0.0009333892,"teacher_disagreement_score":0.108087085,"about_ca_system_score_codex":0.00002024345,"about_ca_system_score_gemma":0.00008630616,"threshold_uncertainty_score":0.9996376},"labels":[],"label_agreement":null},{"id":"W6929703129","doi":"10.5061/dryad.2jk717g","title":"Data from: Species richness change across spatial scales","year":2019,"lang":"en","type":"dataset","venue":"ePrints Soton (University of Southampton)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; McGill University; University of British Columbia","funders":"","keywords":"Species richness; Body size and species richness; Biodiversity; Spatial ecology; Extinction (optical mineralogy); Global change; Taxon; Macroecology","score_opus":0.08273545459618245,"score_gpt":0.30022865479500693,"score_spread":0.21749320019882448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929703129","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012994907,0.00004766424,0.005013456,0.00009615962,0.00010241384,0.00037649143,0.98073447,0.000097670585,0.0005367879],"genre_scores_gemma":[0.0030084294,0.0005669203,0.0038475618,0.000023487444,0.00027805907,0.0000055404385,0.99024916,0.000029262554,0.001991566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980939,0.000016891505,0.00022877977,0.000967234,0.00034214428,0.0003510241],"domain_scores_gemma":[0.9958776,0.00007888225,0.00057606434,0.0032581924,0.000095621326,0.000113624425],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012350197,0.00035484202,0.0005740226,0.00006683121,0.0002467277,0.000032525335,0.0031083103,0.0005741342,0.011224368],"category_scores_gemma":[0.000025788222,0.00045849252,0.00015215421,0.00012250649,0.00036429672,0.00026190392,0.0034864978,0.00064084446,0.0012708335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013042039,0.00028743342,0.0018527157,0.0005546239,0.00019864783,0.000029135577,0.0005718706,0.000002712677,0.0018667917,0.000026947253,0.992454,0.0020246897],"study_design_scores_gemma":[0.00042873362,0.000008214565,0.00082961225,0.0001953414,0.000080446625,0.0000015869704,0.0012253711,0.000068994734,0.0014640416,0.00022263869,0.99498516,0.00048984267],"about_ca_topic_score_codex":0.0047118184,"about_ca_topic_score_gemma":0.0016045013,"teacher_disagreement_score":0.009986477,"about_ca_system_score_codex":0.00010005047,"about_ca_system_score_gemma":0.00005052455,"threshold_uncertainty_score":0.9997867},"labels":[],"label_agreement":null},{"id":"W6930008102","doi":"10.5281/zenodo.1044747","title":"The Mongo Database For The Analysis Of Transcription Factor Binding Site Alterations (Manta)","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human genome; Genome; DNA binding site; Transcription factor; Binding site; Single-nucleotide polymorphism; Ensembl; Mutation; UniProt; 1000 Genomes Project","score_opus":0.05557923300322661,"score_gpt":0.3055816782723587,"score_spread":0.2500024452691321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930008102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23586133,0.0002459215,0.7148557,0.004699542,0.000086411266,0.0017872177,0.015613366,0.0008266618,0.026023887],"genre_scores_gemma":[0.99332863,0.000470412,0.0016669906,0.000019689094,0.00007791351,0.0000012598509,0.003033532,0.00034402663,0.0010575285],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992116,0.000028288832,0.00020681228,0.00021917031,0.00015851154,0.00017558831],"domain_scores_gemma":[0.9983924,0.000075141645,0.00021678366,0.0009803841,0.00028611766,0.000049186845],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029387168,0.000084317966,0.00010037418,0.000070987735,0.007216771,0.00067626534,0.001077455,0.000034906374,0.0012947661],"category_scores_gemma":[0.0003156669,0.00006201427,0.0001014248,0.00019566351,0.0001826832,0.00020743253,0.00030770677,0.00014245731,0.00009073246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008766131,0.00009741192,0.000025054629,0.00006862764,0.00045003084,6.684465e-7,0.00094732846,0.00028887295,0.8809187,0.020391086,0.012750365,0.083974235],"study_design_scores_gemma":[0.000249735,0.000024478526,0.0003058038,0.000017695636,0.00021459704,0.0000037269945,0.00021440731,0.01223466,0.051928055,0.00026310826,0.9344222,0.000121553145],"about_ca_topic_score_codex":0.000024736093,"about_ca_topic_score_gemma":0.0000049238474,"teacher_disagreement_score":0.9216718,"about_ca_system_score_codex":0.000047967544,"about_ca_system_score_gemma":0.0000022640336,"threshold_uncertainty_score":0.9996182},"labels":[],"label_agreement":null},{"id":"W6930078197","doi":"10.5281/zenodo.11744348","title":"pta constitution and by-laws pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constitution; Download; Corporate governance; Constitutional law; State (computer science); Coursework; Legislation; Transparency (behavior); Order (exchange); Curriculum","score_opus":0.017523737674180594,"score_gpt":0.2538441637279738,"score_spread":0.23632042605379322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930078197","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014036516,0.0007991274,0.009277801,0.00023425519,0.000027130303,0.0002453561,0.0010436492,0.0017192563,0.9866394],"genre_scores_gemma":[0.001690811,0.0012804698,0.0021062777,0.00006578652,0.00024227962,3.2260118e-7,0.004215556,0.0053009377,0.9850976],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990199,0.000023165936,0.00015412734,0.0004513207,0.00015088172,0.0002005868],"domain_scores_gemma":[0.9993247,0.0000052456176,0.00009616056,0.00039362986,0.00007306157,0.000107241634],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000107678294,0.00016888262,0.00013912903,0.000109913264,0.00046464425,0.00037569168,0.0004300496,0.00018091076,0.09275783],"category_scores_gemma":[0.00006525508,0.00018390118,0.000033830594,0.00015208442,0.00023823968,0.000047177917,0.00063040655,0.00034743294,0.022323694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044104377,0.000024995516,9.756264e-8,0.00020405896,0.000026613041,0.0000035150485,0.000026869973,2.246397e-7,0.009569724,0.01494758,0.960949,0.014242883],"study_design_scores_gemma":[0.00011945004,0.000016684482,1.103692e-7,0.00014650925,0.000021507101,0.000054495984,0.0000281486,0.000025640418,0.002049488,0.0012084618,0.99613863,0.00019084656],"about_ca_topic_score_codex":0.000021701635,"about_ca_topic_score_gemma":2.2852085e-7,"teacher_disagreement_score":0.07043414,"about_ca_system_score_codex":0.00008111953,"about_ca_system_score_gemma":0.0000024921494,"threshold_uncertainty_score":0.97843754},"labels":[],"label_agreement":null},{"id":"W6930152259","doi":"10.5281/zenodo.12318961","title":"Axtstiel schablone pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Curiosity","score_opus":0.022437234922974468,"score_gpt":0.2627223030326266,"score_spread":0.24028506810965214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930152259","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000052427004,0.0018906366,0.021538315,0.000923206,0.00016014864,0.00082031515,0.0015198663,0.0025243263,0.97057074],"genre_scores_gemma":[0.0026222845,0.0024699618,0.0062856274,0.00016516606,0.0015667401,6.3038374e-7,0.007920585,0.017616313,0.9613527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970994,0.0001091428,0.00051086186,0.0011527751,0.00047264874,0.0006551447],"domain_scores_gemma":[0.9976092,0.000019457257,0.00029456033,0.001350739,0.0004057937,0.00032023477],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038823817,0.00048170864,0.00038847746,0.00034196474,0.0015412971,0.0012799358,0.0018987705,0.0004808639,0.46921873],"category_scores_gemma":[0.00027811594,0.0005520371,0.00018228406,0.0006665418,0.00034506738,0.000110128305,0.0024321002,0.0012815511,0.56764656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030384426,0.00017362925,1.29126e-7,0.00075055996,0.00018204538,0.000032296164,0.00020836249,0.0000067476976,0.016638119,0.012060857,0.9411107,0.028806206],"study_design_scores_gemma":[0.00027689937,0.000085366126,6.4403014e-7,0.0005216197,0.00010619777,0.00009672345,0.00011349208,0.00019351287,0.0043842113,0.0033965025,0.99027723,0.0005476048],"about_ca_topic_score_codex":0.0000156687,"about_ca_topic_score_gemma":1.6979112e-7,"teacher_disagreement_score":0.098427854,"about_ca_system_score_codex":0.00035360633,"about_ca_system_score_gemma":0.000008975693,"threshold_uncertainty_score":0.99975854},"labels":[],"label_agreement":null},{"id":"W6930258300","doi":"10.5281/zenodo.11465382","title":"$~~!~ [[[[WhatsApp ((( (+27) 736616875))) *____**)) TOP QUALITY COUNTERFEIT MONEY FOR SALE Somalia Laytown Malawi\\\\EUROPE USA 3","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Quality (philosophy); Counterfeit Drugs; Banknote","score_opus":0.03982321123956094,"score_gpt":0.3093351042383464,"score_spread":0.2695118929987855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930258300","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027304972,0.00054917997,0.01629825,0.00057455327,0.00017634356,0.0011681112,0.006572897,0.0035356402,0.97085196],"genre_scores_gemma":[0.0032346146,0.00089888496,0.006712616,0.00018619375,0.0010466845,0.0000040376854,0.007808405,0.016013732,0.9640948],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971219,0.000094836956,0.00056763686,0.0011365175,0.00044861552,0.0006305396],"domain_scores_gemma":[0.99755037,0.000033365628,0.00038400086,0.0013269949,0.0004487423,0.00025650478],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048632693,0.00047812072,0.00044532272,0.0002521346,0.00076946366,0.0009029593,0.0016724574,0.00039640724,0.069463275],"category_scores_gemma":[0.00028159382,0.0005191688,0.0001880496,0.0004589681,0.00025631228,0.00013605447,0.0013621807,0.00069512473,0.021366995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059558035,0.00013536,0.0000027734336,0.0010165008,0.00011600178,0.000010643749,0.000110222834,0.0000063597477,0.013176633,0.015349342,0.9631783,0.006838356],"study_design_scores_gemma":[0.0003913893,0.00007145262,0.0000034055315,0.00030586752,0.000064505126,0.000042714113,0.0000779044,0.00009125843,0.0046934346,0.0010073179,0.9926864,0.00056438707],"about_ca_topic_score_codex":0.000066919674,"about_ca_topic_score_gemma":0.0000032445303,"teacher_disagreement_score":0.048096284,"about_ca_system_score_codex":0.00022976872,"about_ca_system_score_gemma":0.000013728316,"threshold_uncertainty_score":0.999726},"labels":[],"label_agreement":null},{"id":"W6930266265","doi":"10.5281/zenodo.11909869","title":"i am brian wilson pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Headline; Gloom; Subpoena; Scapegoat; TSG101; Paraphernalia","score_opus":0.020370104551026624,"score_gpt":0.26156493589085605,"score_spread":0.24119483133982944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930266265","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012697216,0.00033236228,0.00604126,0.0003193058,0.0000467954,0.0002896769,0.0006765154,0.0034348553,0.98884654],"genre_scores_gemma":[0.0006189901,0.00045169482,0.0027970825,0.000070099355,0.0005756579,2.8675882e-7,0.0032930265,0.013011048,0.9791821],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865186,0.000030810814,0.00020504186,0.00057019957,0.00023647386,0.00030560017],"domain_scores_gemma":[0.9988878,0.000005524725,0.00013420872,0.00072867045,0.00010470479,0.00013912738],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013372631,0.00022397173,0.00018288539,0.00018893665,0.00049030065,0.0004949431,0.0009620674,0.00022839605,0.2732257],"category_scores_gemma":[0.000080887155,0.00024747165,0.00008011423,0.00027780153,0.00012440082,0.000049994338,0.00089778414,0.00052018696,0.11568689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006203856,0.00004029907,6.9297016e-8,0.00025196135,0.000040107057,0.000009217149,0.00005492174,8.549546e-7,0.004613754,0.005944901,0.9618953,0.027142443],"study_design_scores_gemma":[0.00012270102,0.000022827577,2.8350078e-7,0.00021810617,0.000024284154,0.000049163013,0.00003750911,0.00003608417,0.0017872236,0.001401501,0.99604326,0.00025707588],"about_ca_topic_score_codex":0.000023256556,"about_ca_topic_score_gemma":4.292403e-7,"teacher_disagreement_score":0.15753879,"about_ca_system_score_codex":0.00014050429,"about_ca_system_score_gemma":0.0000029210457,"threshold_uncertainty_score":0.99999774},"labels":[],"label_agreement":null},{"id":"W6930305362","doi":"10.5281/zenodo.12503108","title":"cours de lobbying pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legitimacy; Transparency (behavior); Context (archaeology); Democracy; Democratic legitimacy","score_opus":0.023093177275869452,"score_gpt":0.27166423278321455,"score_spread":0.2485710555073451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930305362","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019806939,0.0009302904,0.04943058,0.0014152923,0.00008892058,0.0004989327,0.0006388407,0.0015646198,0.9452345],"genre_scores_gemma":[0.005402461,0.0010681197,0.011191493,0.00018535949,0.0008979617,4.477228e-7,0.0021932104,0.011695629,0.9673653],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979146,0.00010955303,0.00034125507,0.0007433793,0.00028537723,0.0006058168],"domain_scores_gemma":[0.9984317,0.000021202299,0.00019358058,0.00079614355,0.00027951747,0.0002778847],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039284962,0.00033098643,0.00025454647,0.00019326438,0.0012318233,0.0009420373,0.0013509836,0.00036006563,0.43119034],"category_scores_gemma":[0.00025778075,0.00039863586,0.00013277167,0.0004340617,0.0002961186,0.00009271035,0.0013977329,0.0009782638,0.2199195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019850408,0.00014126429,8.9992693e-7,0.0008478844,0.00012442346,0.000043347398,0.00048101132,0.00004438953,0.029973246,0.049885914,0.83328515,0.085152596],"study_design_scores_gemma":[0.00017751569,0.000049459024,0.0000022760785,0.00047046642,0.00006964799,0.00021073935,0.00020300203,0.0004329273,0.0073127286,0.0052093337,0.98547417,0.00038771622],"about_ca_topic_score_codex":0.000021150063,"about_ca_topic_score_gemma":3.4743405e-7,"teacher_disagreement_score":0.21127084,"about_ca_system_score_codex":0.00068114186,"about_ca_system_score_gemma":0.0000112911175,"threshold_uncertainty_score":0.9998466},"labels":[],"label_agreement":null},{"id":"W6930386257","doi":"10.5281/zenodo.11226552","title":"Linked collectors and determiners for: First detection of the adventive large rove beetle Ocypus nitens (Schrank) in Canada and an update of its Nearctic distribution using data generated by the public.","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Distribution (mathematics); Biodiversity; Attribution; Species distribution","score_opus":0.02953705674591631,"score_gpt":0.2682231056662166,"score_spread":0.2386860489203003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930386257","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03986869,0.00020883407,0.0007154964,0.00012958527,0.000027258513,0.0005442202,0.95845354,0.000033780598,0.000018622943],"genre_scores_gemma":[0.26906085,0.00047994487,0.000053293614,0.00001646877,0.00003508774,6.948452e-7,0.7300974,0.00023030366,0.00002596174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892235,0.00007966356,0.0002759027,0.00035479685,0.0001731437,0.00019415372],"domain_scores_gemma":[0.99878246,0.00003626375,0.00023150396,0.00060240465,0.0002882327,0.000059150265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028280888,0.00013351062,0.00015343436,0.000052568023,0.00074656116,0.00016004944,0.0007289955,0.00008949163,0.00015659523],"category_scores_gemma":[0.0003648755,0.00010954365,0.000019945224,0.00041766712,0.00010935445,0.00013349873,0.0011030029,0.00030660734,0.0000039172132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095013456,0.00010885451,0.000010539105,0.0010049678,0.000104916006,0.0000026245484,0.00009225038,0.000055624696,0.054533694,0.000090700996,0.9399529,0.003947932],"study_design_scores_gemma":[0.0002578835,0.000031552525,0.0000138902105,0.00008524191,0.000058153364,0.000020482876,0.00010931217,0.010608295,0.009058222,0.000044033746,0.9795898,0.00012312208],"about_ca_topic_score_codex":0.010947962,"about_ca_topic_score_gemma":0.017728709,"teacher_disagreement_score":0.22919217,"about_ca_system_score_codex":0.0002806811,"about_ca_system_score_gemma":0.000043725446,"threshold_uncertainty_score":0.9956382},"labels":[],"label_agreement":null},{"id":"W6930473936","doi":"10.5281/zenodo.13361075","title":"Virker Nexalyn Kapsler Danmark virkelig? Analyse af brugeranmeldelser og resultater","year":2024,"lang":"da","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Libido; Mysticism","score_opus":0.02306255905986615,"score_gpt":0.27122444054917794,"score_spread":0.2481618814893118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930473936","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00074578467,0.0011828804,0.013074643,0.0013377975,0.00019401278,0.001297193,0.0034940406,0.0028465933,0.97582704],"genre_scores_gemma":[0.026397904,0.003300728,0.00819619,0.0007432435,0.0020478913,0.0000027535305,0.01575145,0.029645607,0.9139142],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99510723,0.000286293,0.0009543486,0.0018925098,0.00076809555,0.0009915482],"domain_scores_gemma":[0.9960448,0.00004337717,0.00048397057,0.0022314633,0.00072091934,0.0004754362],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00077238906,0.00080815883,0.0006500812,0.00058213406,0.0017790352,0.0019733675,0.0025382512,0.00068941375,0.19878705],"category_scores_gemma":[0.00035746588,0.00084922864,0.00036011677,0.0012367371,0.0004646268,0.0002737866,0.0029219359,0.0017742765,0.11734576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001465967,0.0002465865,0.0000011797437,0.0006052826,0.00045118397,0.000070923605,0.0005621483,0.00003496021,0.038235996,0.002429392,0.9205514,0.036664356],"study_design_scores_gemma":[0.0005636096,0.00009660015,0.0000057300067,0.00053504575,0.00023645039,0.00010489724,0.00024809403,0.00031798892,0.007867744,0.0016130963,0.98750883,0.00090190984],"about_ca_topic_score_codex":0.00008306439,"about_ca_topic_score_gemma":0.0000018007572,"teacher_disagreement_score":0.08144129,"about_ca_system_score_codex":0.0005400804,"about_ca_system_score_gemma":0.000015922533,"threshold_uncertainty_score":0.99952054},"labels":[],"label_agreement":null},{"id":"W6930478377","doi":"10.5281/zenodo.11994487","title":"Limburg stadtplan pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aerial photos; European community; Nova scotia","score_opus":0.02391348376874065,"score_gpt":0.2640676467809306,"score_spread":0.24015416301218995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930478377","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000756829,0.0013340549,0.011110099,0.00074820337,0.00015169571,0.00080424297,0.0021615552,0.002598884,0.98101556],"genre_scores_gemma":[0.0031916185,0.0025341283,0.0038877057,0.00016475092,0.0015919183,5.62329e-7,0.012147388,0.018736184,0.95774573],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971345,0.00011703526,0.0004984237,0.0011277443,0.0004674209,0.0006548955],"domain_scores_gemma":[0.9976765,0.000021213558,0.00029014968,0.0013258541,0.000357501,0.00032880277],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003772157,0.0004734578,0.0003714446,0.00032385808,0.0014304904,0.0013690889,0.0018948413,0.00045420698,0.47044423],"category_scores_gemma":[0.00021257656,0.0005369379,0.00017835942,0.0005903391,0.00029876112,0.0001017793,0.0021701253,0.0012317454,0.52846557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033163826,0.0001576884,1.8534378e-7,0.00065663364,0.00017502619,0.000038540253,0.00026673704,0.000006347725,0.010247723,0.009818089,0.9511024,0.027497485],"study_design_scores_gemma":[0.00025351715,0.000100046294,7.693235e-7,0.00043738747,0.000099363664,0.0000924943,0.00015065559,0.000107050204,0.004078766,0.0027917344,0.99134403,0.0005441522],"about_ca_topic_score_codex":0.000013977553,"about_ca_topic_score_gemma":2.2961123e-7,"teacher_disagreement_score":0.05802132,"about_ca_system_score_codex":0.00037742543,"about_ca_system_score_gemma":0.000008708718,"threshold_uncertainty_score":0.9998695},"labels":[],"label_agreement":null},{"id":"W6930519995","doi":"10.5281/zenodo.13729286","title":"+91-8094774404 癶oo癶 Want to kill My Ex Husband Wife By Powerful mantras spells black magic, Witchcraft Spells Specialist Astrologer","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wife; MAGIC (telescope); Superstition; Cabinet (room)","score_opus":0.014002299094903465,"score_gpt":0.2534641344716447,"score_spread":0.2394618353767412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930519995","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018237269,0.00029353116,0.011064883,0.0013954923,0.00011346271,0.000993785,0.0035400994,0.0013332648,0.9810831],"genre_scores_gemma":[0.00087180437,0.0007455394,0.0039750864,0.00033656173,0.0011753445,7.867019e-8,0.00346655,0.010833703,0.9785953],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99685943,0.00008057005,0.00052002026,0.0012431031,0.0005436741,0.0007532093],"domain_scores_gemma":[0.9977941,0.000018740595,0.0002815565,0.0012494089,0.00022766007,0.00042856397],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029270432,0.00055898953,0.00047343437,0.0003155549,0.00021291226,0.0008512746,0.0016665976,0.00038242378,0.32446253],"category_scores_gemma":[0.000117496034,0.0005953061,0.00015633556,0.0004924147,0.00036508564,0.00009477119,0.0014357889,0.0008712384,0.35891518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004623409,0.00012977187,4.7349747e-7,0.00023542397,0.00009072319,0.000029848588,0.00016363128,0.000005437404,0.037237015,0.0014635033,0.9582383,0.0023596461],"study_design_scores_gemma":[0.00032464426,0.00008472932,8.976219e-7,0.0002440993,0.000057766192,0.00004914346,0.00011580496,0.000018133196,0.0154828625,0.0007427372,0.98227704,0.0006021631],"about_ca_topic_score_codex":0.00003808531,"about_ca_topic_score_gemma":0.0000016302586,"teacher_disagreement_score":0.034452673,"about_ca_system_score_codex":0.00028867702,"about_ca_system_score_gemma":0.000010344273,"threshold_uncertainty_score":0.9996498},"labels":[],"label_agreement":null},{"id":"W6930538573","doi":"10.5281/zenodo.13769507","title":"Vanhornia quizhouensis","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Holotype; Dorsum; Transverse plane; Sulcus; Margin (machine learning)","score_opus":0.024943159543910177,"score_gpt":0.26818832345114474,"score_spread":0.24324516390723455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930538573","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024244593,0.00054277445,0.101131216,0.001977609,0.000083000145,0.00038648557,0.0007256289,0.008981814,0.86192685],"genre_scores_gemma":[0.9803068,0.00035086827,0.007833982,0.0001405977,0.00036605378,2.7071872e-7,0.002000133,0.0025736778,0.0064276024],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907774,0.000023967676,0.00015948748,0.00034784054,0.00016312125,0.00022784054],"domain_scores_gemma":[0.9992988,0.000015851278,0.00003123028,0.0003961258,0.0001573927,0.0001006008],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001690861,0.00010356952,0.00008119329,0.00009070935,0.0010064497,0.0005563801,0.00053730723,0.00006217613,0.023357144],"category_scores_gemma":[0.000101668185,0.00010918618,0.000051351977,0.00031735792,0.00008449897,0.00013983791,0.00049851503,0.00026653789,0.0077742254],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021935994,0.000086507884,0.000001216329,0.00023007132,0.000051997053,0.000024634199,0.00044979187,0.000034229306,0.25600797,0.07101768,0.2711815,0.4008925],"study_design_scores_gemma":[0.00006886698,0.00001981736,0.0000047506865,0.000040801162,0.000009267655,0.000070901,0.00006103488,0.0006311766,0.022704335,0.0025878053,0.9736752,0.00012604879],"about_ca_topic_score_codex":0.000004829689,"about_ca_topic_score_gemma":5.758171e-8,"teacher_disagreement_score":0.9560622,"about_ca_system_score_codex":0.00011537699,"about_ca_system_score_gemma":0.0000023291088,"threshold_uncertainty_score":0.99299836},"labels":[],"label_agreement":null},{"id":"W6930659356","doi":"10.5281/zenodo.15675066","title":"Application of high-order direct flux reconstruction and stiffness-resilient time integration to simulations of idealized atmospheric flows","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Discretization; Flux (metallurgy); Integrator; Exponential function; Time delay and integration; Work (physics); Atmospheric model; Atmospheric models","score_opus":0.008535208969265516,"score_gpt":0.24585798602984613,"score_spread":0.2373227770605806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930659356","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046050684,0.00018295,0.44244677,0.00021676344,0.000046187866,0.0017701585,0.0025337967,0.0013056588,0.54689264],"genre_scores_gemma":[0.41753376,0.00080381916,0.24695441,0.00009835542,0.00040278502,0.000009883582,0.022750452,0.009988562,0.30145797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881595,0.00005570854,0.00037695345,0.00042218188,0.00018438257,0.00014482385],"domain_scores_gemma":[0.9985127,0.000026661806,0.00034546788,0.00053869473,0.00050292385,0.000073546034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012006019,0.00017772513,0.00028672832,0.0001271417,0.00030014772,0.00006240708,0.00037505702,0.00016786631,0.009771754],"category_scores_gemma":[0.0002542888,0.00019633818,0.000040596573,0.00057629106,0.000102586564,0.000055975826,0.00035122418,0.00015719773,0.00018455468],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010703132,0.00019872055,0.0000031843153,0.0005835916,0.00012054669,3.2172667e-7,0.00017798488,0.001909624,0.2781963,0.009492271,0.06521003,0.6440004],"study_design_scores_gemma":[0.0005313319,0.00006269434,0.0000410751,0.00046990166,0.00008086978,0.0000073057954,0.000060592916,0.012479872,0.02587495,0.0014834055,0.95858425,0.0003237656],"about_ca_topic_score_codex":0.00015688782,"about_ca_topic_score_gemma":0.0000028600184,"teacher_disagreement_score":0.8933742,"about_ca_system_score_codex":0.00009550626,"about_ca_system_score_gemma":0.0000086935415,"threshold_uncertainty_score":0.99113345},"labels":[],"label_agreement":null},{"id":"W6930680189","doi":"10.5281/zenodo.13336055","title":"⭐🌟 +91-8094774404 🌟⭐ Mantra to get your ex boyfriend or ex girlfriend back","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mantra; Miracle; Wife; MAGIC (telescope); Faith; Ain't; Caster","score_opus":0.03935173224773154,"score_gpt":0.29401180427720797,"score_spread":0.25466007202947644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930680189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006694766,0.00019291518,0.012914472,0.00059989747,0.00007606465,0.00074138644,0.0017648665,0.002791296,0.9808521],"genre_scores_gemma":[0.00094536104,0.00040819068,0.01099356,0.00017283869,0.00072758127,8.192229e-7,0.0028095439,0.015028119,0.968914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997616,0.000050045426,0.00037206462,0.0009828663,0.00040299405,0.0005760311],"domain_scores_gemma":[0.9981145,0.000012001118,0.0001805541,0.0011607141,0.0001846653,0.00034751205],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020389685,0.0003991933,0.00032145722,0.00032127244,0.00051296543,0.00073045905,0.0015538696,0.00027360363,0.2263082],"category_scores_gemma":[0.00016551263,0.00039252508,0.00010448627,0.0005749709,0.00014167008,0.00008906765,0.0017011545,0.0006518298,0.100086085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047449517,0.000078635894,1.0775928e-7,0.00036094122,0.00006305196,0.000028573782,0.00027984087,0.0000032232676,0.006729241,0.0031711396,0.9720442,0.017193539],"study_design_scores_gemma":[0.0002175321,0.00007920856,6.047729e-7,0.00029620406,0.000034076867,0.00008964764,0.00015672419,0.000028660803,0.003674489,0.00067484094,0.994278,0.0004700023],"about_ca_topic_score_codex":0.000028969054,"about_ca_topic_score_gemma":0.0000014728013,"teacher_disagreement_score":0.1262221,"about_ca_system_score_codex":0.00021988305,"about_ca_system_score_gemma":0.000008379509,"threshold_uncertainty_score":0.99985266},"labels":[],"label_agreement":null},{"id":"W6930685796","doi":"10.5281/zenodo.12775484","title":"Reactome Download Directory","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Download; Directory; Directory service; The Internet; Namespace","score_opus":0.027841481340891826,"score_gpt":0.2728016421451472,"score_spread":0.24496016080425537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930685796","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000051376534,0.00012524732,0.00017981557,0.00015203896,0.000047808444,0.00029309778,0.958715,0.0012725117,0.03916309],"genre_scores_gemma":[0.00007951743,0.0008701308,0.00023037681,0.00008795653,0.00016204032,7.511499e-7,0.9963895,0.001063951,0.0011157782],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808747,0.00009818746,0.00032798568,0.00066203,0.00043506428,0.0003892718],"domain_scores_gemma":[0.9980195,0.00003063798,0.00026523144,0.00128944,0.00022313243,0.00017201694],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031420018,0.000263093,0.00024172428,0.00020371003,0.0024956933,0.00038905782,0.002055496,0.00018014525,0.50289196],"category_scores_gemma":[0.00027729332,0.0003083705,0.00010317217,0.00038019152,0.0001381915,0.00008604579,0.0025972342,0.0010987187,0.004672803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023680088,0.00012384602,3.4574192e-8,0.00013921401,0.00003322488,0.000013788773,0.000031664622,0.0000051379243,0.0057346085,0.00015489818,0.9799088,0.013831058],"study_design_scores_gemma":[0.00016883065,0.000041653533,6.511219e-7,0.00002444032,0.000028087468,0.000077958604,0.000044147375,0.0000035836624,0.0012997421,0.0001774026,0.99780536,0.000328161],"about_ca_topic_score_codex":0.000055746925,"about_ca_topic_score_gemma":3.2312997e-7,"teacher_disagreement_score":0.49821913,"about_ca_system_score_codex":0.00040904048,"about_ca_system_score_gemma":0.0000066714006,"threshold_uncertainty_score":0.9999368},"labels":[],"label_agreement":null},{"id":"W6931106352","doi":"10.5281/zenodo.4586448","title":"Text-fig. 1. Map of localities mentioned in the text. EC = Emerald Creek, Idaho, middle Miocene; MC = McAbee, British Columbia, early middle Eocene; MM = Moose Mountain, middle Miocene; RP = Republic, Washington, early middle Eocene; SC = Sucker Creek, Oregon, middle Miocene. in Trochodendraceous Fruits And Foliage In The Miocene Of Western North America","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Middle Stone Age; Emerald; Middle Ages; Middle East; Sucker","score_opus":0.027824460892131548,"score_gpt":0.23552447078466765,"score_spread":0.2077000098925361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931106352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9518586,0.0029352165,0.0010951933,0.0006610677,0.00008271299,0.003572326,0.0036560046,0.0006892071,0.035449713],"genre_scores_gemma":[0.8277078,0.0041552917,0.0053790635,0.000879288,0.0006680154,0.00006771147,0.006981472,0.0072282655,0.14693308],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99275446,0.0007696239,0.0019126548,0.0018075014,0.0013270361,0.0014287462],"domain_scores_gemma":[0.9948778,0.00022179756,0.0014624997,0.002268462,0.0008597405,0.0003097064],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001369593,0.0008044235,0.0013075212,0.00063143624,0.0010691884,0.0019247291,0.0035137625,0.00063967606,0.006661372],"category_scores_gemma":[0.0005091314,0.000983454,0.00029275913,0.001931914,0.0012484372,0.00057978486,0.0014365049,0.0012737705,0.00033516393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015805878,0.012125821,0.043792285,0.011992255,0.0014740593,0.0007128759,0.034320317,0.0003960486,0.005367047,0.0010392303,0.82568806,0.061511386],"study_design_scores_gemma":[0.0057259807,0.0011782108,0.027637346,0.0050342013,0.00027018,0.00031941987,0.004733807,0.00048222192,0.0021746908,0.0017356827,0.9480643,0.0026439142],"about_ca_topic_score_codex":0.04943259,"about_ca_topic_score_gemma":0.014955105,"teacher_disagreement_score":0.124150746,"about_ca_system_score_codex":0.0004103426,"about_ca_system_score_gemma":0.00006857619,"threshold_uncertainty_score":0.9992616},"labels":[],"label_agreement":null},{"id":"W6931109228","doi":"10.5281/zenodo.15198612","title":"Supplemental Figure for Gaudreau and Bui 2025","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fish <Actinopterygii>; Larva; Zebrafish; High resolution","score_opus":0.019845409466417763,"score_gpt":0.27779039734043853,"score_spread":0.25794498787402076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931109228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014439813,0.00021383844,0.028611835,0.00063659216,0.000022680908,0.0006973948,0.006201176,0.0011795092,0.96242255],"genre_scores_gemma":[0.00092612917,0.00090164325,0.015958967,0.00013697303,0.00035524956,0.0000016573395,0.020604583,0.005950251,0.95516455],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897456,0.000020145771,0.00017452818,0.00045069892,0.00012828705,0.00025179557],"domain_scores_gemma":[0.99920595,0.0000173905,0.00012167991,0.0004330591,0.00013269123,0.00008924097],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010544282,0.00018377704,0.00017002266,0.00013653359,0.0007620967,0.00023079499,0.00058181427,0.00017033753,0.08447462],"category_scores_gemma":[0.00010374247,0.00020693749,0.000052325475,0.0001338499,0.00009663013,0.000038032584,0.0007095785,0.00023088907,0.0005567317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015531605,0.00004067034,4.4371515e-7,0.0002809968,0.000039034985,9.687586e-7,0.000028050328,4.878952e-7,0.0036151172,0.012844929,0.9535002,0.029633574],"study_design_scores_gemma":[0.00035372368,0.00003161577,0.000001071409,0.00011650181,0.00002542712,0.000008578754,0.00005560969,0.000036975343,0.0029142275,0.0012127793,0.99505085,0.00019262872],"about_ca_topic_score_codex":0.000028690776,"about_ca_topic_score_gemma":7.7154556e-7,"teacher_disagreement_score":0.08391789,"about_ca_system_score_codex":0.0000861255,"about_ca_system_score_gemma":0.0000050107187,"threshold_uncertainty_score":0.9163623},"labels":[],"label_agreement":null},{"id":"W6931141745","doi":"10.5281/zenodo.3791327","title":"Scelio masneri Yoder &amp; Polaszek &amp; Masner &amp; Johnson &amp; Valerio 2009, sp. n.","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Sculpture; Sulcus; Groove (engineering); Mandible (arthropod mouthpart); Dorsum","score_opus":0.03993157431213533,"score_gpt":0.28114908366964453,"score_spread":0.24121750935750919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931141745","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09504839,0.00077903783,0.27549157,0.005497499,0.00014047768,0.0014725913,0.0014918044,0.0068987114,0.6131799],"genre_scores_gemma":[0.4047966,0.0047487402,0.297305,0.003375533,0.0025739921,0.000004885496,0.03597384,0.010485447,0.24073598],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99707615,0.00011578247,0.0005564683,0.00089088496,0.00056035246,0.00080034777],"domain_scores_gemma":[0.9971596,0.000028858385,0.00026398504,0.0015670636,0.00058811414,0.0003924078],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000464496,0.00039604996,0.00032197326,0.00025920605,0.0020902902,0.00075178844,0.0014705642,0.0002385504,0.044539068],"category_scores_gemma":[0.00038419076,0.0004330495,0.00015832025,0.00074866135,0.00021415345,0.00033682917,0.00076834304,0.00076218,0.023862932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014850765,0.00044310853,0.000016906559,0.0001004725,0.00005388702,0.0000053282647,0.00061979477,0.00017092102,0.37113643,0.0047942568,0.57409686,0.04841352],"study_design_scores_gemma":[0.00046085345,0.00003828161,0.00008376559,0.000057604913,0.000024808067,0.00012152567,0.000030014746,0.000024582689,0.0064282445,0.0023897034,0.9898448,0.0004958309],"about_ca_topic_score_codex":0.000038267408,"about_ca_topic_score_gemma":0.0000055027845,"teacher_disagreement_score":0.4157479,"about_ca_system_score_codex":0.00029706347,"about_ca_system_score_gemma":0.000010748175,"threshold_uncertainty_score":0.9998121},"labels":[],"label_agreement":null},{"id":"W6931474086","doi":"10.5683/sp3/vpdbj7","title":"Dryden 2019 Mercury Concentrations, Dissolved Organic Carbon Concentrations, and High Resolution Mass Spectrometry","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Methylmercury; Mercury (programming language); Dissolved organic carbon; Mass spectrometry; High resolution; Taiga","score_opus":0.00781750962186602,"score_gpt":0.2507297918176661,"score_spread":0.24291228219580005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931474086","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031638288,0.0024344912,0.0020164829,0.0005704275,0.000056985293,0.00036420856,0.9936172,0.00016497888,0.00045885507],"genre_scores_gemma":[0.0004654589,0.011628855,0.008787885,0.00009491344,0.00042174416,0.000218343,0.9780731,0.00004947006,0.000260183],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799913,0.000042559077,0.00053716695,0.0007145496,0.00030510713,0.00040147683],"domain_scores_gemma":[0.9980341,0.000098037606,0.00038857514,0.0011599119,0.00014621583,0.00017312387],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010231732,0.00040272158,0.0004595755,0.00007309038,0.0002357783,0.00013991777,0.0003536744,0.00056294486,0.00050486677],"category_scores_gemma":[0.00011483216,0.00044626158,0.000086178225,0.00024417142,0.00015424404,0.00009897104,0.00012877295,0.00062740804,0.0000042626057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000116672,0.000055200893,0.000040214312,0.000104288694,0.000066416826,0.000014502272,0.000009118163,0.0000023909176,0.05656972,0.0009818296,0.942087,0.000057645862],"study_design_scores_gemma":[0.00037561796,0.000024008734,0.000057469457,0.00015235064,0.00024449508,0.000022147893,0.00007009691,0.00009203572,0.05191053,0.0015392042,0.94492984,0.0005821993],"about_ca_topic_score_codex":0.0070354436,"about_ca_topic_score_gemma":0.001530011,"teacher_disagreement_score":0.015544041,"about_ca_system_score_codex":0.00031592662,"about_ca_system_score_gemma":0.00025763147,"threshold_uncertainty_score":0.9997989},"labels":[],"label_agreement":null},{"id":"W6931554921","doi":"10.5281/zenodo.5503810","title":"Integration of Refugees Through Sport","year":2021,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre; Cégep de Sorel-Tracy","funders":"","keywords":"Inclusion (mineral); Disadvantaged; Refugee; Politics; Immigration; General partnership; Social exclusion; Social integration","score_opus":0.030058306430958186,"score_gpt":0.28047283682927454,"score_spread":0.25041453039831635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931554921","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035282323,0.00021846395,0.016900571,0.00011555931,0.000023382789,0.00025949164,0.0006396199,0.0006871319,0.98080295],"genre_scores_gemma":[0.008290426,0.0015339764,0.027932975,0.00012485556,0.0006292393,5.36103e-7,0.052651603,0.005325281,0.9035111],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858165,0.000021807831,0.00041037923,0.0004651698,0.0003128873,0.00020813411],"domain_scores_gemma":[0.9980459,0.000012960921,0.00035269142,0.0007883236,0.0007305823,0.00006954315],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016960682,0.00020597415,0.000281826,0.00008495248,0.0006600736,0.0001706866,0.0008503352,0.00023916642,0.020142458],"category_scores_gemma":[0.00012893118,0.0002301445,0.000113391485,0.00017774494,0.00017286383,0.00013555962,0.00079537585,0.0005343571,0.0006803933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006382103,0.00021232077,3.8926183e-7,0.00070256524,0.00012853507,0.000020841717,0.0006178186,0.000020087697,0.13508627,0.24863438,0.52625537,0.08825757],"study_design_scores_gemma":[0.00012257235,0.000033885182,0.0000012212366,0.00023148829,0.00002655878,0.000043396834,0.000058499027,0.000017922423,0.040238343,0.0077785365,0.95124984,0.00019773957],"about_ca_topic_score_codex":0.000005208848,"about_ca_topic_score_gemma":1.6208101e-7,"teacher_disagreement_score":0.42499444,"about_ca_system_score_codex":0.00026854628,"about_ca_system_score_gemma":0.000015779875,"threshold_uncertainty_score":0.98075324},"labels":[],"label_agreement":null},{"id":"W6931649765","doi":"10.5281/zenodo.7661022","title":"ATR phosphoproteomics - Substrate Validation","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Substrate (aquarium); Phosphoproteomics; Peptide mapping; Substrate specificity","score_opus":0.03559392228372314,"score_gpt":0.269042211527759,"score_spread":0.23344828924403582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931649765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6524699,0.000047719896,0.04861884,0.0019226172,0.000077208126,0.00093320804,0.0008341426,0.0108458,0.2842506],"genre_scores_gemma":[0.9781613,0.00033305396,0.0054600257,0.000085955835,0.00022980192,8.1799845e-7,0.00793873,0.0020619673,0.005728351],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989045,0.000030876625,0.00021262758,0.0003468483,0.00020496342,0.00030014623],"domain_scores_gemma":[0.9990666,0.000014361608,0.000101508405,0.00046900872,0.00024070307,0.000107825705],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029873164,0.0001182798,0.000096824886,0.000103138475,0.0015166405,0.00035227847,0.0006564342,0.00006816451,0.009288522],"category_scores_gemma":[0.00014966281,0.00013608618,0.00004824167,0.0005805323,0.00008436393,0.00016926191,0.00052104774,0.00023335229,0.007762864],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092070026,0.00016121485,0.000027553931,0.00019116777,0.000056181078,0.000018135206,0.0006995151,0.0009161465,0.68489075,0.028066585,0.17296614,0.111914515],"study_design_scores_gemma":[0.00021960125,0.000025122117,0.00006159757,0.00001779075,0.0000070829624,0.00002570272,0.00012445483,0.0009794213,0.18396653,0.003014226,0.81138706,0.00017139263],"about_ca_topic_score_codex":0.000008613281,"about_ca_topic_score_gemma":7.067204e-8,"teacher_disagreement_score":0.63842094,"about_ca_system_score_codex":0.00010771998,"about_ca_system_score_gemma":0.00000267394,"threshold_uncertainty_score":0.9997833},"labels":[],"label_agreement":null},{"id":"W6931699616","doi":"10.5683/sp3/305jwl","title":"Enquête sur les finances des consommateurs, 1992: Fichier de familles de recensements [Canada]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Child care; Information scientist; Economic analysis","score_opus":0.02414013212975821,"score_gpt":0.27729008220007256,"score_spread":0.2531499500703144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931699616","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004278754,0.0019623036,0.0007780756,0.0008010345,0.000058483176,0.00043818355,0.99050623,0.00020988434,0.0009670545],"genre_scores_gemma":[0.00011331015,0.04160178,0.016177673,0.00032555408,0.00029287155,0.0008914475,0.9373734,0.00012510119,0.003098892],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973534,0.00007834775,0.0006288136,0.000676104,0.00032050803,0.00094286713],"domain_scores_gemma":[0.9976817,0.00035998883,0.00046808075,0.0010641556,0.00016387487,0.00026222103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002483332,0.000581307,0.00053084607,0.000064393316,0.0005713499,0.00010374526,0.0009476122,0.00060939934,0.00010811074],"category_scores_gemma":[0.0004095677,0.00065481086,0.00014937653,0.00023269404,0.0004455828,0.00008123358,0.00028595878,0.00068370916,0.000032575652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026978914,0.00008647911,0.0008166924,0.00069170806,0.000110768444,0.00009637109,0.000051464212,0.000047604,0.0013992152,0.00087852153,0.98840815,0.0073860656],"study_design_scores_gemma":[0.00024127148,0.000021282292,0.0005148607,0.00080240704,0.00012953859,0.000032306354,0.00019849492,0.00006499822,0.021164807,0.0035348204,0.97264904,0.0006461934],"about_ca_topic_score_codex":0.9438828,"about_ca_topic_score_gemma":0.90741307,"teacher_disagreement_score":0.053132858,"about_ca_system_score_codex":0.0008313791,"about_ca_system_score_gemma":0.0010184287,"threshold_uncertainty_score":0.99959034},"labels":[],"label_agreement":null},{"id":"W6931964665","doi":"10.5683/sp3/s21kke","title":"DYBIA and City of Toronto Garbage Bin Pilot Data","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Garbage; Bin; Garbage collection; Test (biology); Work (physics)","score_opus":0.03914740834670801,"score_gpt":0.32565628171888905,"score_spread":0.28650887337218106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931964665","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014257542,0.0015754624,0.00010796455,0.000055135584,0.000013122505,0.00013624819,0.9943049,0.00008309353,0.0037098299],"genre_scores_gemma":[0.000027138474,0.004896313,0.0036279995,0.000030473002,0.00014730655,0.00008484615,0.99097896,0.000025298024,0.00018167272],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897754,0.0000050610106,0.00026847047,0.00047882594,0.00013142388,0.00013869286],"domain_scores_gemma":[0.9975663,0.000037964157,0.00014859307,0.0021527724,0.000028467732,0.00006592393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000927535,0.00019775207,0.00025990396,0.0000140701495,0.000036339574,0.000031939737,0.0007750568,0.00018557331,0.00047780553],"category_scores_gemma":[0.00003838896,0.00019034848,0.000030232704,0.000028835007,0.00008131175,0.00007720255,0.00080902706,0.00024188538,0.000005558819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009211815,0.000041596486,0.0000027231863,0.00044900025,0.000029417328,0.0000041059557,0.0000038525413,2.7237185e-8,0.0010699793,0.00018604862,0.9975653,0.00063869584],"study_design_scores_gemma":[0.00006582954,0.000017809463,0.0000049427954,0.00013609,0.000098191005,0.000005526066,0.00000709802,0.000013225976,0.002939446,0.00142659,0.9951002,0.00018504789],"about_ca_topic_score_codex":0.08963925,"about_ca_topic_score_gemma":0.03381931,"teacher_disagreement_score":0.055819932,"about_ca_system_score_codex":0.00005611806,"about_ca_system_score_gemma":0.000045343615,"threshold_uncertainty_score":0.98381096},"labels":[],"label_agreement":null},{"id":"W6939443698","doi":"10.6084/m9.figshare.26684295","title":"Additional file 1 of Kinome and phosphoproteome reprogramming underlies the aberrant immune responses in critically ill COVID-19 patients","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Kinome; Reprogramming; Immune system; Critically ill; Pathway analysis; Phosphorylation","score_opus":0.026891351503707583,"score_gpt":0.29300610753920364,"score_spread":0.26611475603549606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939443698","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003782882,0.000328557,0.000016386079,0.00037715788,0.0000028296954,0.00021614696,0.9973933,0.0001063325,0.001180982],"genre_scores_gemma":[0.025145523,0.000013486148,0.00978099,0.0003987152,0.00004131782,0.008651561,0.9543504,0.00003485909,0.0015831344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992678,0.00001045375,0.00022219193,0.00023930827,0.00011665329,0.00014357151],"domain_scores_gemma":[0.99787813,0.0016570876,0.00005448463,0.00024047094,0.00011788489,0.000051952517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000029775565,0.00009902591,0.00010464382,0.00003631663,0.00008669014,0.000044238623,0.0001495458,0.000073418836,0.8950196],"category_scores_gemma":[0.0055850996,0.00008079069,0.00004873849,0.0001439298,0.00004355404,0.000067674984,0.00011839493,0.00019290081,0.000066623536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028179307,0.000049116377,0.000008852598,0.00047173182,0.000010500814,0.000009871025,0.00011515324,0.0000031005954,0.0005942333,0.00019287759,0.9924474,0.0060690134],"study_design_scores_gemma":[0.00008632265,0.000017518229,0.0003521879,0.0016448325,0.0000029664511,0.00000792246,0.00011052567,0.00014401272,0.0037801298,0.0032251673,0.9905063,0.00012213136],"about_ca_topic_score_codex":0.000010201323,"about_ca_topic_score_gemma":0.000004287767,"teacher_disagreement_score":0.894953,"about_ca_system_score_codex":0.0000616356,"about_ca_system_score_gemma":0.000108080705,"threshold_uncertainty_score":0.66862893},"labels":[],"label_agreement":null},{"id":"W6939485006","doi":"10.6084/m9.figshare.26664625","title":"Additional file 2 of Comparison of immunoassay- with mass spectrometry-derived p-tau quantification for the detection of Alzheimer’s disease pathology","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Disease; Pattern recognition (psychology); Feature (linguistics); Gold standard (test)","score_opus":0.04132657045228501,"score_gpt":0.30516368447384995,"score_spread":0.26383711402156496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939485006","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008746744,0.0005486705,0.008250633,0.000028608873,0.00000427304,0.0002471393,0.9906026,0.000046078676,0.00018449109],"genre_scores_gemma":[0.35487467,0.000004785383,0.012318075,0.0000024160443,0.000030998395,0.0034260459,0.6292669,0.000017083641,0.000059020775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994509,0.0000061631877,0.00022443087,0.00015236632,0.00008970503,0.00007640928],"domain_scores_gemma":[0.9985468,0.00078698917,0.000243193,0.00026461566,0.0001397831,0.000018619816],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000017281125,0.00007476565,0.00012630185,0.000036764257,0.000045422545,0.0000063368384,0.00012543838,0.000051986775,0.6080657],"category_scores_gemma":[0.00029355468,0.000058201007,0.00007820565,0.00014248151,0.000030109231,0.000038669186,0.000020654183,0.00008986412,0.000015407808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077258854,0.0000767197,0.0000028462634,0.00048198077,0.00008030949,5.085038e-7,0.00003156625,0.00006863478,0.50050974,0.00020800527,0.4918168,0.006645619],"study_design_scores_gemma":[0.000069994094,0.00004780628,0.00036448005,0.00091290363,0.00005308443,0.0000018568155,0.000060480485,0.00467709,0.86138815,0.0006096919,0.13173045,0.000084025],"about_ca_topic_score_codex":0.0000017792147,"about_ca_topic_score_gemma":0.0000019473587,"teacher_disagreement_score":0.60805035,"about_ca_system_score_codex":0.000015720121,"about_ca_system_score_gemma":0.00005263765,"threshold_uncertainty_score":0.39229256},"labels":[],"label_agreement":null},{"id":"W6939500954","doi":"10.6084/m9.figshare.19844685.v1","title":"Additional file 2 of Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Memorial University of Newfoundland; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Proteomics; Osteoarthritis; Biomarker; Proteome","score_opus":0.016953642206886315,"score_gpt":0.24975935501619076,"score_spread":0.23280571280930445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939500954","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044448778,0.000013950583,0.00031199976,0.000057912803,0.000005196405,0.0002567618,0.9934605,0.00013569908,0.0057135653],"genre_scores_gemma":[0.0012273171,1.8127065e-7,0.15499496,0.000053537733,0.00004628662,0.011499945,0.83128345,0.000031178635,0.0008631586],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903464,0.0000069051466,0.00022749353,0.00027673465,0.00025392036,0.00020027501],"domain_scores_gemma":[0.9989787,0.00029103557,0.00025096867,0.0003443854,0.00007767183,0.00005726517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000017041053,0.00013056837,0.00013395482,0.00007584498,0.00019853584,0.000019304929,0.00034331187,0.00006504901,0.99809086],"category_scores_gemma":[0.0003788685,0.00016696326,0.00012308947,0.0003151414,0.000014397283,0.00005912229,0.00016644916,0.00025335088,0.00021606206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010574615,0.000054212112,0.0000011097146,0.00008050497,0.000010654931,0.0000031209004,0.000002338207,0.000037261096,0.07700804,0.000013698448,0.92247677,0.00030169345],"study_design_scores_gemma":[0.00027730234,0.000033420292,0.00003355008,0.00041629,0.0000035952403,0.000012455636,0.00003260071,0.00034978968,0.17859404,0.000365291,0.8196726,0.0002090597],"about_ca_topic_score_codex":0.0000014813959,"about_ca_topic_score_gemma":0.0000011292227,"teacher_disagreement_score":0.9978748,"about_ca_system_score_codex":0.0001194315,"about_ca_system_score_gemma":0.00013490209,"threshold_uncertainty_score":0.6808564},"labels":[],"label_agreement":null},{"id":"W6939523178","doi":"10.6084/m9.figshare.14737208","title":"Additional file 1 of PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Monte Carlo method; Quantitative analysis (chemistry); Sampling (signal processing); Proteomics; Quantitative proteomics; Quantitative biology","score_opus":0.05840447972125487,"score_gpt":0.3118761622975584,"score_spread":0.2534716825763035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939523178","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011244574,0.000014520653,0.0056175413,0.00007100534,0.0000032009016,0.00062407367,0.99025756,0.00007853509,0.0032211186],"genre_scores_gemma":[0.001027887,2.5279482e-7,0.2008206,0.000027096808,0.00006806894,0.042036712,0.7517183,0.000018385512,0.004282723],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989008,0.000011920581,0.0003510844,0.0003758019,0.00019167083,0.00016874533],"domain_scores_gemma":[0.997989,0.00055485865,0.00037163682,0.0003144874,0.0007099217,0.00006008775],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001876208,0.00015855728,0.00022932106,0.000075915625,0.00012824638,0.00002872082,0.00013448737,0.000110294146,0.9874031],"category_scores_gemma":[0.0018681987,0.00017362965,0.0002608117,0.00042885146,0.000012631682,0.00011663329,0.00008499498,0.00016308771,0.00018113611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033181783,0.000124376,6.911961e-7,0.00018957912,0.0002310597,0.0000015618581,0.00001197699,0.00017769833,0.040278856,0.00051913003,0.9582567,0.00017518963],"study_design_scores_gemma":[0.0001741304,0.000031723186,0.000021010563,0.0009451392,0.00003917369,0.000004418782,0.00007878889,0.0016823094,0.34609997,0.0018909458,0.6488256,0.00020681521],"about_ca_topic_score_codex":0.0000024393403,"about_ca_topic_score_gemma":0.000008029112,"teacher_disagreement_score":0.98722196,"about_ca_system_score_codex":0.00010820244,"about_ca_system_score_gemma":0.00022723603,"threshold_uncertainty_score":0.7080412},"labels":[],"label_agreement":null},{"id":"W6939807072","doi":"10.6084/m9.figshare.14396578.v1","title":"Additional file 2 of The impact of different preanalytical methods related to CA 15-3 determination in frozen human blood samples: a systematic review","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human blood; Scale (ratio); Quality (philosophy); Blood preservation; Quality assessment","score_opus":0.038626744881751336,"score_gpt":0.37903846024617643,"score_spread":0.3404117153644251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939807072","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024841444,0.0001912966,0.000020872345,0.000013057752,6.3954235e-7,0.00042160114,0.9980712,0.000015487356,0.0010174614],"genre_scores_gemma":[0.010493378,0.0000075641105,0.014545644,0.000028407081,0.000009217563,0.004890992,0.96939397,0.000020232419,0.0006106072],"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","domain_scores_codex":[0.999143,0.00006338893,0.0004363776,0.00015323375,0.00011616407,0.00008783365],"domain_scores_gemma":[0.9983833,0.0007486322,0.0002688847,0.00041809602,0.00014552946,0.000035583736],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000033315835,0.00009604127,0.00033182773,0.000022765364,0.000027194501,0.0000055652135,0.00019593752,0.000068981055,0.91923964],"category_scores_gemma":[0.0043919636,0.00006765259,0.00019015657,0.00021789061,0.0000060858183,0.000023029714,0.00011334675,0.00012651451,0.000018693361],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023638127,0.00032707755,0.000010359826,0.09390809,0.00011267471,0.0000034911695,0.000069809335,0.000012989716,0.01805358,0.000081876315,0.88719004,0.00022762595],"study_design_scores_gemma":[0.00021101852,0.000041716416,0.000877578,0.86171126,0.00019701311,0.00003556331,0.000031322354,0.00082611555,0.13071121,0.003241196,0.001826896,0.00028908212],"about_ca_topic_score_codex":0.000003984189,"about_ca_topic_score_gemma":0.000005332783,"teacher_disagreement_score":0.9192209,"about_ca_system_score_codex":0.00006370638,"about_ca_system_score_gemma":0.000057224715,"threshold_uncertainty_score":0.5257908},"labels":[],"label_agreement":null},{"id":"W6948648282","doi":"10.5281/zenodo.11162932","title":"SEO Services In Toronto - Eunorial Consulting","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Search engine optimization; Traverse; Online presence management; Digital economy; Service (business); Work (physics)","score_opus":0.016876393262456848,"score_gpt":0.2770244832788045,"score_spread":0.2601480900163477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6948648282","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000068508554,0.00074317737,0.00056417217,0.0000895717,0.00006579326,0.0002898238,0.00069533684,0.0022692687,0.99521434],"genre_scores_gemma":[0.012120147,0.0021492876,0.009038768,0.00015039387,0.0025764168,0.0000014465669,0.010052753,0.034465067,0.92944574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987782,0.000034880613,0.00023364581,0.00049436657,0.00018688822,0.00027199739],"domain_scores_gemma":[0.9992113,0.000008327226,0.00013006372,0.00048135314,0.00008512729,0.00008380439],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016582075,0.00019159126,0.0001776263,0.00010359422,0.00028875706,0.00036665963,0.0007885478,0.00020724267,0.08225465],"category_scores_gemma":[0.000050456274,0.00021386908,0.000044924436,0.00018154208,0.00006694492,0.00007633778,0.0008797259,0.00037191936,0.0065234024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029432107,0.00009618899,8.5383414e-7,0.0014115528,0.000060583367,0.000021314869,0.000533662,0.0000025206498,0.010609393,0.011215847,0.93923706,0.036781613],"study_design_scores_gemma":[0.0002089422,0.000014051465,5.613191e-7,0.0003768558,0.000012333301,0.000018828268,0.0002948993,0.0000724687,0.00075961056,0.00052919367,0.99750143,0.00021083023],"about_ca_topic_score_codex":0.0005790135,"about_ca_topic_score_gemma":0.00003261196,"teacher_disagreement_score":0.07573125,"about_ca_system_score_codex":0.0003441964,"about_ca_system_score_gemma":0.000002865243,"threshold_uncertainty_score":0.9942501},"labels":[],"label_agreement":null},{"id":"W6957736083","doi":"10.60692/cjr35-j9m82","title":"Additional file 1 of Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser capture microdissection; Microdissection; Pancreatic ductal adenocarcinoma; Coring; Table (database); Adenocarcinoma; Cell; Transcriptome","score_opus":0.026943497022003427,"score_gpt":0.23882339839784084,"score_spread":0.2118799013758374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957736083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8940913,0.00000957706,0.004457874,7.449086e-7,0.000007586848,0.00035471792,0.10098363,0.000019285386,0.00007525522],"genre_scores_gemma":[0.9786232,1.9799789e-7,0.01831333,0.0000017260882,0.000015265075,0.00084272615,0.0021545691,0.000007924111,0.000041043124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992503,0.000009646187,0.00045748078,0.00010201349,0.00009790847,0.00008266279],"domain_scores_gemma":[0.9990922,0.00004735617,0.0006346099,0.00012119109,0.000079984326,0.000024661462],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000046266316,0.000093330644,0.00020239729,0.000107593434,0.000106415624,0.000010213477,0.00005574196,0.00002520026,0.0034724853],"category_scores_gemma":[0.000014087654,0.000094718605,0.000038946793,0.0000766049,0.00003371419,0.000111459754,0.00006579799,0.00004537165,6.282029e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015466406,0.00011096427,0.121402726,0.033996273,0.00062799087,0.0000041420844,0.039630312,0.011751776,0.782884,0.0002346279,0.007445268,0.00036527705],"study_design_scores_gemma":[0.0010988063,0.00018449556,0.009293271,0.00053698855,0.00020431301,0.00018877425,0.013719437,0.021307543,0.9527162,0.000022215196,0.00040828675,0.00031967778],"about_ca_topic_score_codex":0.000012889869,"about_ca_topic_score_gemma":4.3682917e-8,"teacher_disagreement_score":0.1698322,"about_ca_system_score_codex":0.00007096118,"about_ca_system_score_gemma":0.000031941916,"threshold_uncertainty_score":0.9974385},"labels":[],"label_agreement":null},{"id":"W6957964483","doi":"10.6084/m9.figshare.11972481.v1","title":"Additional file 2 of RapidAIM: a culture- and metaproteomics-based Rapid Assay of Individual Microbiome responses to drugs","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"","keywords":"Microbiome; Butyrate; Reproducibility; Workflow","score_opus":0.026033160326062118,"score_gpt":0.2597665982524009,"score_spread":0.23373343792633877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957964483","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025177965,0.000045835237,0.000036548627,0.00021512508,8.325044e-7,0.00022120978,0.99824995,0.000059872156,0.00091883703],"genre_scores_gemma":[0.004524919,9.077176e-7,0.09162902,0.00044737113,0.00004690038,0.0020164954,0.9009171,0.000022555909,0.00039471078],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925125,0.000016032856,0.0002342874,0.00024193063,0.00013624234,0.00012025157],"domain_scores_gemma":[0.99886054,0.0005171604,0.00020400564,0.00018918267,0.00012405132,0.00010508038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000025355816,0.0001287491,0.00019982734,0.00004189733,0.00004463051,0.000014497851,0.00025054865,0.00010227814,0.93562895],"category_scores_gemma":[0.001385334,0.00012893732,0.00007909375,0.00019486633,0.000021354319,0.000044629945,0.00013608571,0.00012773361,0.00008961194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005117807,0.000023951661,4.503841e-7,0.00017914995,0.000018386287,5.429136e-7,0.00010518872,0.0000023466457,0.09012108,0.0000055072487,0.9085173,0.00097493007],"study_design_scores_gemma":[0.00012409477,0.000031889493,0.000014988891,0.0004318477,0.0000061584306,0.0000010601755,0.000030944575,0.000030419049,0.42208034,0.000033811808,0.5771162,0.00009825137],"about_ca_topic_score_codex":6.3465774e-7,"about_ca_topic_score_gemma":1.6102422e-7,"teacher_disagreement_score":0.93553936,"about_ca_system_score_codex":0.0000131086645,"about_ca_system_score_gemma":0.00008999895,"threshold_uncertainty_score":0.5257911},"labels":[],"label_agreement":null},{"id":"W6958195540","doi":"10.6084/m9.figshare.19581792.v1","title":"Additional file 2 of Gut microbiome signatures linked to HIV-1 reservoir size and viremia control","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Clostridiales; Metagenomics; Gut flora; Microbiome; Transcriptome; Human virome","score_opus":0.009796293822629844,"score_gpt":0.2381849465760261,"score_spread":0.22838865275339626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958195540","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001488897,0.000035167574,0.000003892148,0.00015915642,0.0000016778624,0.00016997209,0.9962743,0.00007267373,0.0031342977],"genre_scores_gemma":[0.014617616,3.5500923e-7,0.008245658,0.00034722223,0.000063081425,0.006933705,0.9661271,0.000020565609,0.0036446934],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994328,0.0000076219917,0.00013632837,0.0002011383,0.0001008207,0.000121295125],"domain_scores_gemma":[0.998756,0.0008127304,0.00009861212,0.00021399635,0.000061983636,0.000056693916],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000010337194,0.00008823359,0.00011243904,0.00002421538,0.00013567373,0.000010510615,0.00021791592,0.000060112714,0.99379843],"category_scores_gemma":[0.0007286241,0.0000988991,0.00004485496,0.00010726663,0.000007825143,0.000029274886,0.00022454241,0.00021351512,0.00013607275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015798627,0.00001807963,2.3981207e-7,0.000040963783,0.000006309646,0.0000016096365,0.00000926439,0.000057396213,0.09119412,0.000009926272,0.90854216,0.00010415436],"study_design_scores_gemma":[0.0001453083,0.000015620375,0.00006500618,0.00022754024,0.0000022995862,0.000004910184,0.000016736945,0.00007879074,0.006507699,0.0002481736,0.99257326,0.00011467608],"about_ca_topic_score_codex":0.0000012402123,"about_ca_topic_score_gemma":7.2798963e-7,"teacher_disagreement_score":0.99366236,"about_ca_system_score_codex":0.000043328004,"about_ca_system_score_gemma":0.00004156719,"threshold_uncertainty_score":0.40329885},"labels":[],"label_agreement":null},{"id":"W6958240418","doi":"10.6084/m9.figshare.29881817","title":"Raw proteomics data for Multi-Omics Analysis Reveals Diapause-Associated Lipid Remodeling in the Fat Body of Colorado Potato Beetle","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Formic acid; Orbitrap; Mass spectrometry; Proteomics; Proteome; Sample preparation","score_opus":0.07775443905660598,"score_gpt":0.3580695184103682,"score_spread":0.2803150793537622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958240418","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005828534,0.000115301234,0.00082289305,0.0000627891,0.00001050386,0.0017467331,0.99711007,0.00005637904,0.000017040114],"genre_scores_gemma":[0.00031138197,0.00013896871,0.014634497,0.00012685999,0.00009126397,0.003572279,0.9809867,0.000030145113,0.00010788645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977946,0.000067235655,0.00081131305,0.00075639214,0.00022106426,0.00034936902],"domain_scores_gemma":[0.9951713,0.0006847654,0.0009212136,0.0029149835,0.0002594407,0.00004828355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033571024,0.00036636065,0.00077044644,0.00019381869,0.00019284153,0.000070313596,0.002786108,0.00065103517,0.0015637225],"category_scores_gemma":[0.004122859,0.00033850092,0.00024348364,0.0007935126,0.000016211585,0.00009666014,0.00079456466,0.00092529383,0.0000063173798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023614733,0.00016921836,0.000005118435,0.00092274736,0.00022009284,0.0000013951118,0.00001598797,0.00041315777,0.0010198131,0.0000028340437,0.9971683,0.00003770239],"study_design_scores_gemma":[0.00082524255,0.000024440742,0.000010449393,0.0028693175,0.0010357737,9.204675e-7,0.000086230095,0.044433825,0.0066163633,0.00021879311,0.9431636,0.0007150459],"about_ca_topic_score_codex":0.00012571261,"about_ca_topic_score_gemma":0.00036637596,"teacher_disagreement_score":0.05400472,"about_ca_system_score_codex":0.00017012423,"about_ca_system_score_gemma":0.00016699446,"threshold_uncertainty_score":0.9999067},"labels":[],"label_agreement":null},{"id":"W6958342296","doi":"10.6084/m9.figshare.17047059","title":"Additional file 2 of Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Hepatocellular carcinoma; Intensity (physics); Transplantation; Correlation; Signature (topology); Milan criteria","score_opus":0.015467024416337733,"score_gpt":0.23039145597073865,"score_spread":0.2149244315544009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958342296","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031532675,0.00008388687,0.00008951366,0.00002870613,0.000003997275,0.0003983098,0.9954173,0.000034597095,0.00079045055],"genre_scores_gemma":[0.05963275,0.0000063170323,0.02020435,0.000027098815,0.00002991349,0.003633493,0.91612345,0.0000194338,0.00032319428],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928355,0.000007426494,0.00023793202,0.00023247264,0.000113275506,0.00012532408],"domain_scores_gemma":[0.99886525,0.00027806315,0.00018915204,0.00021191387,0.0004163452,0.00003928291],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000008966738,0.00012023968,0.00016691002,0.000024926007,0.00005054866,0.000006136613,0.00016371932,0.00014642726,0.8963535],"category_scores_gemma":[0.00020111134,0.00013534057,0.00013101975,0.00009553774,0.000013974795,0.00006609242,0.000016555652,0.00014027994,0.000019658974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006422218,0.00006368493,0.000005338801,0.0016576711,0.000012844243,0.000007795733,0.00006366836,0.0000026191426,0.18954527,0.000067726396,0.80818737,0.00032181464],"study_design_scores_gemma":[0.0003032639,0.000038380193,0.00013524844,0.0014092758,0.000016517663,0.00001306796,0.0000200494,0.0006917331,0.9023529,0.00059848843,0.094266236,0.0001547965],"about_ca_topic_score_codex":0.0000024649962,"about_ca_topic_score_gemma":0.0000028462148,"teacher_disagreement_score":0.8963338,"about_ca_system_score_codex":0.000022193699,"about_ca_system_score_gemma":0.0001468185,"threshold_uncertainty_score":0.55190283},"labels":[],"label_agreement":null},{"id":"W6958476410","doi":"10.6084/m9.figshare.26664625.v1","title":"Additional file 2 of Comparison of immunoassay- with mass spectrometry-derived p-tau quantification for the detection of Alzheimer’s disease pathology","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Disease; Pattern recognition (psychology); Feature (linguistics); Gold standard (test)","score_opus":0.04132657045228501,"score_gpt":0.30516368447384995,"score_spread":0.26383711402156496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958476410","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008746744,0.0005486705,0.008250633,0.000028608873,0.00000427304,0.0002471393,0.9906026,0.000046078676,0.00018449109],"genre_scores_gemma":[0.35487467,0.000004785383,0.012318075,0.0000024160443,0.000030998395,0.0034260459,0.6292669,0.000017083641,0.000059020775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994509,0.0000061631877,0.00022443087,0.00015236632,0.00008970503,0.00007640928],"domain_scores_gemma":[0.9985468,0.00078698917,0.000243193,0.00026461566,0.0001397831,0.000018619816],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000017281125,0.00007476565,0.00012630185,0.000036764257,0.000045422545,0.0000063368384,0.00012543838,0.000051986775,0.6080657],"category_scores_gemma":[0.00029355468,0.000058201007,0.00007820565,0.00014248151,0.000030109231,0.000038669186,0.000020654183,0.00008986412,0.000015407808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077258854,0.0000767197,0.0000028462634,0.00048198077,0.00008030949,5.085038e-7,0.00003156625,0.00006863478,0.50050974,0.00020800527,0.4918168,0.006645619],"study_design_scores_gemma":[0.000069994094,0.00004780628,0.00036448005,0.00091290363,0.00005308443,0.0000018568155,0.000060480485,0.00467709,0.86138815,0.0006096919,0.13173045,0.000084025],"about_ca_topic_score_codex":0.0000017792147,"about_ca_topic_score_gemma":0.0000019473587,"teacher_disagreement_score":0.60805035,"about_ca_system_score_codex":0.000015720121,"about_ca_system_score_gemma":0.00005263765,"threshold_uncertainty_score":0.39229256},"labels":[],"label_agreement":null},{"id":"W6958533808","doi":"10.6084/m9.figshare.29881817.v1","title":"Raw proteomics data for Multi-Omics Analysis Reveals Diapause-Associated Lipid Remodeling in the Fat Body of Colorado Potato Beetle","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Formic acid; Orbitrap; Mass spectrometry; Proteomics; Proteome; Sample preparation","score_opus":0.07775443905660598,"score_gpt":0.3580695184103682,"score_spread":0.2803150793537622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958533808","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005828534,0.000115301234,0.00082289305,0.0000627891,0.00001050386,0.0017467331,0.99711007,0.00005637904,0.000017040114],"genre_scores_gemma":[0.00031138197,0.00013896871,0.014634497,0.00012685999,0.00009126397,0.003572279,0.9809867,0.000030145113,0.00010788645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977946,0.000067235655,0.00081131305,0.00075639214,0.00022106426,0.00034936902],"domain_scores_gemma":[0.9951713,0.0006847654,0.0009212136,0.0029149835,0.0002594407,0.00004828355],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033571024,0.00036636065,0.00077044644,0.00019381869,0.00019284153,0.000070313596,0.002786108,0.00065103517,0.0015637225],"category_scores_gemma":[0.004122859,0.00033850092,0.00024348364,0.0007935126,0.000016211585,0.00009666014,0.00079456466,0.00092529383,0.0000063173798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023614733,0.00016921836,0.000005118435,0.00092274736,0.00022009284,0.0000013951118,0.00001598797,0.00041315777,0.0010198131,0.0000028340437,0.9971683,0.00003770239],"study_design_scores_gemma":[0.00082524255,0.000024440742,0.000010449393,0.0028693175,0.0010357737,9.204675e-7,0.000086230095,0.044433825,0.0066163633,0.00021879311,0.9431636,0.0007150459],"about_ca_topic_score_codex":0.00012571261,"about_ca_topic_score_gemma":0.00036637596,"teacher_disagreement_score":0.05400472,"about_ca_system_score_codex":0.00017012423,"about_ca_system_score_gemma":0.00016699446,"threshold_uncertainty_score":0.9999067},"labels":[],"label_agreement":null},{"id":"W6958638844","doi":"10.6084/m9.figshare.c.6950933.v1","title":"Essential content for teaching implementation practice in healthcare: a mixed-methods study of teams offering capacity-building initiatives","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University; Izaak Walton Killam Health Centre; Dalhousie University; University of Ottawa","funders":"","keywords":"Content analysis; Process (computing); Focus group; Descriptive statistics; Qualitative property; Qualitative research; Content (measure theory); Professional development","score_opus":0.06318731898976782,"score_gpt":0.45667446312799764,"score_spread":0.3934871441382298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958638844","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031695773,0.0035091285,0.027891777,0.0006984375,0.00030797813,0.012972591,0.8591502,0.001461375,0.09083899],"genre_scores_gemma":[0.09183619,0.000072843395,0.7854059,0.00015194497,0.001004839,0.028473144,0.08021915,0.0015808396,0.011255181],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987341,0.000087784065,0.0004266531,0.00041803223,0.000131553,0.00020186347],"domain_scores_gemma":[0.99857306,0.00032602536,0.00071699376,0.00027871056,0.00006711337,0.000038091384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019683405,0.00022350955,0.00032765,0.00014975933,0.000050276132,0.000032720847,0.00019143106,0.00017870133,0.00425278],"category_scores_gemma":[0.0008264606,0.00024199042,0.0000761877,0.00009340714,0.0000068989666,0.00009872785,0.00015040833,0.0005222036,0.000007770482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001625803,0.0022793475,0.00013437808,0.035529602,0.0012247941,0.000033156382,0.016637005,0.000035775483,0.09590935,0.0071566445,0.6741677,0.16672969],"study_design_scores_gemma":[0.0016312314,0.00026467754,0.00002058162,0.014485665,0.00017744473,0.000012355479,0.026742872,0.00017036626,0.12929103,0.001981414,0.82425576,0.00096660334],"about_ca_topic_score_codex":0.0008932377,"about_ca_topic_score_gemma":0.00031732226,"teacher_disagreement_score":0.77893096,"about_ca_system_score_codex":0.0001317928,"about_ca_system_score_gemma":0.00005145647,"threshold_uncertainty_score":0.9966575},"labels":[],"label_agreement":null},{"id":"W6958744471","doi":"10.6084/m9.figshare.13545652.v1","title":"Additional file 2 of Evaluation of the potential of Pap test fluid and cervical swabs to serve as clinical diagnostic biospecimens for the detection of ovarian cancer by mass spectrometry-based proteomics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Cervical cancer; Identification (biology); Ovarian cancer; Proteomics; Pap test; Proteome","score_opus":0.025642009968311757,"score_gpt":0.3109577417926043,"score_spread":0.2853157318242926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958744471","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037323115,0.000069093156,0.0013950509,0.00023045056,0.000008240947,0.0007129476,0.99376583,0.0000085537595,0.00007754973],"genre_scores_gemma":[0.6699075,0.000013250404,0.035313293,0.000096940596,0.00018973042,0.009255429,0.28508496,0.00003602349,0.00010284708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990736,0.000025931775,0.0003715523,0.00018774622,0.0002529261,0.0000882149],"domain_scores_gemma":[0.99622244,0.0024400817,0.00036222683,0.0002961758,0.0006465116,0.000032585453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008596125,0.00008435302,0.00016170372,0.000016405518,0.000055972894,0.0000056457397,0.00013955866,0.000109394874,0.48947746],"category_scores_gemma":[0.0068100793,0.00006562087,0.000118267046,0.0001979338,0.0000316954,0.000022704737,0.00006888746,0.00010998839,0.0000026210205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043872733,0.00016261725,0.000043047963,0.0002852561,0.00004325559,1.481693e-7,0.000007425061,0.0002362011,0.8326621,0.0000146651455,0.1652719,0.0012295309],"study_design_scores_gemma":[0.00034815207,0.000061328385,0.0028456252,0.0007048833,0.000065397435,0.0000015273081,0.000022207885,0.004470589,0.9825914,0.0007136679,0.008100951,0.00007427727],"about_ca_topic_score_codex":0.000014036046,"about_ca_topic_score_gemma":0.000020431595,"teacher_disagreement_score":0.70868087,"about_ca_system_score_codex":0.000042714382,"about_ca_system_score_gemma":0.00024302238,"threshold_uncertainty_score":0.8152793},"labels":[],"label_agreement":null},{"id":"W6960729964","doi":"10.1371/journal.pone.0231760.g002","title":"Examples of burials from the cemetery of Mözs-Icsei dűlő.","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Antique; Quarter (Canadian coin); Period (music); Prehistory","score_opus":0.08716858280748005,"score_gpt":0.28389764447399013,"score_spread":0.19672906166651008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960729964","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000056940207,0.000979925,0.000076860364,0.00006886392,0.000008607665,0.00023148792,0.7541968,0.00013393078,0.24429783],"genre_scores_gemma":[0.0027294706,0.00048719294,0.04786087,0.00048439455,0.0026752825,0.0021840432,0.79687035,0.0012076094,0.14550078],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992958,0.000008511439,0.00025172916,0.00022251868,0.00012823504,0.00009321388],"domain_scores_gemma":[0.99861765,0.00020066935,0.000527746,0.00059699366,0.0000270465,0.000029888575],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000010275775,0.0001633086,0.00030862945,0.000016141043,0.000016991917,0.000007659876,0.00053046446,0.00024003592,0.4378521],"category_scores_gemma":[0.0002619452,0.00012844527,0.0001199753,0.000064078864,0.00001534497,0.00001076489,0.00017844785,0.00016897751,0.00013406445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030284018,0.000011504227,0.0000030109836,0.00031658157,0.00004279391,5.3181196e-7,0.000024279456,4.2803433e-7,0.014910539,0.00006172787,0.98355484,0.00107075],"study_design_scores_gemma":[0.00005699423,0.0000040212108,0.0000023209943,0.001785885,0.00001711028,1.7519102e-7,0.000010304288,0.0000026589162,0.17182578,0.0007264431,0.8254615,0.00010678132],"about_ca_topic_score_codex":0.00011472847,"about_ca_topic_score_gemma":0.000012456342,"teacher_disagreement_score":0.43771803,"about_ca_system_score_codex":0.000008830169,"about_ca_system_score_gemma":0.00003349791,"threshold_uncertainty_score":0.56266177},"labels":[],"label_agreement":null},{"id":"W6960753103","doi":"10.14288/1.0387220","title":"Court as a health intervention to advance Canada’s achievement of the sustainable development goals : a multi-pronged analysis of Vancouver’s Downtown Community Court","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; General partnership; Public health; Health policy; Criminal justice; Economic Justice; Community health; Sustainable development","score_opus":0.013723621471067758,"score_gpt":0.30507874747774394,"score_spread":0.2913551260066762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6960753103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5383056,0.0001874071,0.18934973,0.005504176,0.00035330668,0.0154516855,0.0015162528,0.0001783963,0.24915345],"genre_scores_gemma":[0.7836638,0.000012611791,0.028252346,0.00016066527,0.0000035991866,0.00094737724,0.000044930825,0.000016091546,0.18689854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987459,0.00007692046,0.0005329036,0.00020289994,0.00021126696,0.00023006355],"domain_scores_gemma":[0.99833596,0.00006385378,0.00044827643,0.00075043127,0.00031888435,0.00008259709],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004514555,0.0001289243,0.00036497615,0.00007500729,0.0013074692,0.0000540129,0.00065965607,0.000041889354,0.0006357762],"category_scores_gemma":[0.000062850646,0.000116192365,0.00010639673,0.0014406958,0.000028865648,0.00008354378,0.0005610523,0.00023740403,6.782626e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017079889,0.017145947,0.043896943,0.004086936,0.010321903,0.0000044722237,0.014605699,0.08889073,0.05349907,0.010217673,0.73850745,0.017115165],"study_design_scores_gemma":[0.003652312,0.00043428087,0.0125397965,0.0007735073,0.0006234604,0.0000030082495,0.061014224,0.0031555367,0.31613144,0.001483059,0.59921545,0.0009739441],"about_ca_topic_score_codex":0.8492154,"about_ca_topic_score_gemma":0.95373046,"teacher_disagreement_score":0.26263237,"about_ca_system_score_codex":0.0016709212,"about_ca_system_score_gemma":0.0015300428,"threshold_uncertainty_score":0.99999267},"labels":[],"label_agreement":null},{"id":"W6962523104","doi":"10.15562/tcp.59","title":"Classification of proteins expression in some popular cancers for protein biomarkers identification","year":2017,"lang":"en","type":"article","venue":"The Cancer Press","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Expression (computer science); Protein expression; Cancer; Gene expression","score_opus":0.042035650282490386,"score_gpt":0.34197574498057226,"score_spread":0.29994009469808186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6962523104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94633955,0.0018910723,0.04159663,0.0030320243,0.00010820492,0.0052032275,0.0005062047,0.00013770122,0.0011853626],"genre_scores_gemma":[0.98155767,0.00018467825,0.0047730044,0.0000088369425,0.00009256325,0.012645476,0.000026702372,0.000025135105,0.00068591593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910957,0.00001334513,0.0003057319,0.00028459716,0.00012314993,0.0001636046],"domain_scores_gemma":[0.998165,0.000013116372,0.0006114268,0.0011018453,0.00008063938,0.000027948654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022054581,0.00010875477,0.00013445863,0.000023773624,0.0002813748,0.000046261164,0.00076789025,0.00009035807,0.000020885327],"category_scores_gemma":[0.00006850344,0.000087911365,0.000045211338,0.00003194243,0.00014261634,0.00023142889,0.00008169321,0.000107829364,3.9525355e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008791287,0.000024967228,0.0002967763,0.00017083122,0.0000122495885,6.3471724e-8,0.00009290394,0.00007357921,0.98662156,0.0038751226,0.000102472,0.008641577],"study_design_scores_gemma":[0.00032017787,0.000006940449,0.0011287554,0.0002329649,0.00001451553,1.4862043e-7,0.00003920432,0.0017102498,0.98331404,0.009469081,0.0036518758,0.00011203585],"about_ca_topic_score_codex":0.00091580645,"about_ca_topic_score_gemma":0.00011152916,"teacher_disagreement_score":0.036823623,"about_ca_system_score_codex":0.00018657722,"about_ca_system_score_gemma":0.0000632649,"threshold_uncertainty_score":0.35849214},"labels":[],"label_agreement":null},{"id":"W6967566636","doi":"10.5281/zenodo.10581948","title":"ATR phosphoproteomics","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Phosphoproteomics; Identification (biology); Proteome","score_opus":0.030430087791629475,"score_gpt":0.2657224538908711,"score_spread":0.23529236609924165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6967566636","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20231895,0.000088680805,0.06203708,0.0032330863,0.00008855041,0.0010222174,0.0010463633,0.016346669,0.71381843],"genre_scores_gemma":[0.9513645,0.0006836965,0.01512606,0.0002812055,0.0004983481,0.0000011736618,0.00800275,0.0049381997,0.019104028],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898636,0.000022067727,0.00017687707,0.000325972,0.00018478827,0.00030391134],"domain_scores_gemma":[0.9991085,0.00001342782,0.00007313661,0.00049557106,0.00019672028,0.000112675596],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023250534,0.00010763264,0.00009384502,0.00009259893,0.001554174,0.00026200133,0.0007547936,0.000071120245,0.012810554],"category_scores_gemma":[0.00017455067,0.000121654426,0.00004871564,0.0005352443,0.000091674345,0.00011081694,0.000822687,0.00023947847,0.01092296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061264866,0.00012227263,0.000010647885,0.00013780143,0.00004184899,0.000017714303,0.0005474387,0.00020085195,0.3724651,0.03222494,0.3850529,0.20911723],"study_design_scores_gemma":[0.00017976544,0.000021371327,0.000026708121,0.0000149429525,0.000004611279,0.000028243345,0.000111667134,0.00062448735,0.054102365,0.0028319668,0.9419115,0.00014233637],"about_ca_topic_score_codex":0.0000069186112,"about_ca_topic_score_gemma":5.7621037e-8,"teacher_disagreement_score":0.7490456,"about_ca_system_score_codex":0.00009930373,"about_ca_system_score_gemma":0.0000019985207,"threshold_uncertainty_score":0.99974567},"labels":[],"label_agreement":null},{"id":"W6968833099","doi":"10.5281/zenodo.6671158","title":"Signal alignment enables quantitative analysis of targeted proteomics data from multiple LC-MS/MS instruments","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantitative analysis (chemistry); Bottleneck; Quantitative proteomics; Identification (biology); Pattern recognition (psychology); Raw data; Gold standard (test); Reduction (mathematics)","score_opus":0.05691043425662253,"score_gpt":0.2864740416486464,"score_spread":0.2295636073920239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968833099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7892625,0.00011358154,0.15179145,0.00035117383,0.00003055244,0.0011926747,0.037700098,0.00092965364,0.01862831],"genre_scores_gemma":[0.928222,0.000054812685,0.031645868,0.00003791674,0.000028622653,0.0000013868754,0.03923547,0.00052130315,0.0002526283],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834025,0.00012641468,0.00035660237,0.0005307548,0.0004093489,0.00023660458],"domain_scores_gemma":[0.99844307,0.00004047035,0.0002859995,0.0009379882,0.00020149858,0.00009099803],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000343894,0.00013498632,0.00021679714,0.00018917922,0.0013997767,0.00012693241,0.0016693369,0.000040933766,0.032974035],"category_scores_gemma":[0.00017906462,0.00015572281,0.000064089676,0.0008234619,0.00010782792,0.00017827978,0.0032686724,0.0002624016,0.00013209981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029315127,0.0006964268,0.00024112102,0.00005656772,0.0011014036,0.0000049687987,0.0012109644,0.004071579,0.9597774,0.0033260458,0.0162903,0.01293004],"study_design_scores_gemma":[0.0009950742,0.00019932247,0.000291366,0.000023486115,0.0003236242,0.0000060807215,0.0017160535,0.104439326,0.19932148,0.0014846385,0.6907653,0.00043422895],"about_ca_topic_score_codex":0.00019328546,"about_ca_topic_score_gemma":0.0000017006113,"teacher_disagreement_score":0.76045597,"about_ca_system_score_codex":0.00020506744,"about_ca_system_score_gemma":0.0000068764252,"threshold_uncertainty_score":0.9999003},"labels":[],"label_agreement":null},{"id":"W6968935059","doi":"10.5281/zenodo.3763779","title":"Personalized and graph genomes reveal missingsignal in epigenomic data","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Genome; Scripting language; Epigenomics; Graph; Genomics; Personalized medicine","score_opus":0.04852365321131563,"score_gpt":0.27670298808303545,"score_spread":0.22817933487171982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968935059","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020120243,0.0026313919,0.00792204,0.00085634144,0.000017163844,0.0006070222,0.0036714382,0.0016076759,0.9824857],"genre_scores_gemma":[0.014858622,0.021261213,0.103340745,0.0010155907,0.0023393107,0.0000018867014,0.09672951,0.05579199,0.70466113],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986612,0.000052742198,0.00021499772,0.00066069735,0.0001628875,0.00024744772],"domain_scores_gemma":[0.99896073,0.000011109069,0.00016094587,0.0006803832,0.00004165578,0.00014514907],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017252723,0.0001929849,0.00022403807,0.0001624393,0.00044595575,0.00025816626,0.0012749621,0.00014677871,0.02726204],"category_scores_gemma":[0.00009028367,0.00022112638,0.000029532033,0.00022393314,0.00019093583,0.000068256806,0.0016094248,0.0003967614,0.0006188894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044327262,0.000066488756,0.0000047634476,0.00035646587,0.0000551493,0.000020832598,0.0003113834,0.0000012344207,0.025154568,0.0023343156,0.904255,0.0673955],"study_design_scores_gemma":[0.0003146914,0.000017597022,0.0000045317684,0.00009594215,0.000014776586,0.00003217248,0.00006990526,0.00008979548,0.0003388409,0.0005113829,0.9982871,0.0002232589],"about_ca_topic_score_codex":0.000036783596,"about_ca_topic_score_gemma":7.3213346e-7,"teacher_disagreement_score":0.27782458,"about_ca_system_score_codex":0.00007458573,"about_ca_system_score_gemma":0.0000055832465,"threshold_uncertainty_score":0.97362715},"labels":[],"label_agreement":null},{"id":"W6976582775","doi":"10.6084/m9.figshare.17047056","title":"Additional file 1 of Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Hepatocellular carcinoma; Intensity (physics); Transplantation; Milan criteria; Distribution (mathematics); Principal component analysis; Liver transplantation; Proteome","score_opus":0.01597167181510454,"score_gpt":0.23084368166712607,"score_spread":0.21487200985202154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976582775","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031737853,0.00008263441,0.00009138985,0.000028849941,0.0000039754373,0.00039901014,0.995412,0.000034607143,0.0007737305],"genre_scores_gemma":[0.060441848,0.0000061553033,0.020604068,0.0000270671,0.000029464383,0.0036967362,0.9148534,0.000019437974,0.00032182146],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928343,0.0000074288955,0.0002378305,0.00023263882,0.000113302536,0.00012536813],"domain_scores_gemma":[0.9988604,0.00028185814,0.00018889955,0.00021230146,0.00041722742,0.00003928825],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00000901363,0.00012027612,0.00016687109,0.000024941564,0.00005054513,0.00000612395,0.00016380618,0.00014642645,0.8980253],"category_scores_gemma":[0.00020345127,0.00013538274,0.0001310439,0.00009560855,0.00001397498,0.0000660493,0.000016557871,0.00014031072,0.000019860912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063952626,0.00006310824,0.0000054537136,0.0016281113,0.0000127238645,0.0000075266016,0.00006302154,0.0000025827928,0.19313815,0.0000659864,0.80463886,0.0003105389],"study_design_scores_gemma":[0.0003015458,0.000038405524,0.00013746895,0.001427196,0.00001658845,0.000013051091,0.000020262949,0.0006967365,0.9053022,0.00059447356,0.0912968,0.0001552339],"about_ca_topic_score_codex":0.000002441559,"about_ca_topic_score_gemma":0.000002830257,"teacher_disagreement_score":0.8980054,"about_ca_system_score_codex":0.000022187643,"about_ca_system_score_gemma":0.00014744366,"threshold_uncertainty_score":0.5520748},"labels":[],"label_agreement":null},{"id":"W6977144311","doi":"10.6084/m9.figshare.28942931.v1","title":"Additional file 2 of Cerebrospinal fluid proteome profiling across the Alzheimer’s disease continuum: a step towards solving the equation for ‘X’","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Profiling (computer programming); Proteome; Disease; Cerebrospinal fluid; Feature (linguistics)","score_opus":0.042461442468915415,"score_gpt":0.319698818403455,"score_spread":0.27723737593453956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977144311","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030472162,0.00010117856,0.0011866427,0.00035780625,0.0000057075426,0.0011114726,0.9955672,0.000077464676,0.0015620271],"genre_scores_gemma":[0.0035246257,7.9266096e-7,0.017778678,0.00013417758,0.00015236378,0.050525833,0.9262198,0.000020356096,0.0016433591],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922615,0.000008661083,0.00022737285,0.00021160473,0.00013179479,0.00019441643],"domain_scores_gemma":[0.99850196,0.000670769,0.00019689865,0.00035708316,0.00024048744,0.00003281123],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000041632757,0.00011831048,0.000104710125,0.0000109901475,0.0003886332,0.00005195974,0.000359129,0.00006320765,0.6392035],"category_scores_gemma":[0.001562878,0.00008152208,0.0001226044,0.00011982506,0.000028782022,0.00007380491,0.00015060768,0.00014581197,0.000032533495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029495017,0.000022729657,0.0000012189173,0.00016745248,0.000023623377,1.4307639e-7,0.000020281423,0.000014723391,0.0009987107,0.00021173556,0.9943056,0.004204263],"study_design_scores_gemma":[0.00015686623,0.000011453929,0.0001508625,0.0017117688,0.000024865474,6.862846e-7,0.0000885668,0.0061557954,0.06576701,0.0027128141,0.92308635,0.0001329426],"about_ca_topic_score_codex":0.0000021786743,"about_ca_topic_score_gemma":0.000002864692,"teacher_disagreement_score":0.63917094,"about_ca_system_score_codex":0.00003224215,"about_ca_system_score_gemma":0.00018569018,"threshold_uncertainty_score":0.36112633},"labels":[],"label_agreement":null},{"id":"W6980260245","doi":"","title":"Bol ab teri gand kaise maru QuickBooks ..???QB 1 877 242 6518 support phone number","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phone; Service (business); Helpline; Customer service; Desk; Customer needs","score_opus":0.009789369554489199,"score_gpt":0.2742759082472613,"score_spread":0.26448653869277206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980260245","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005535419,0.000003532188,0.01022563,0.00019003428,0.00015828217,0.0012721067,0.0007398979,0.0012616229,0.98559535],"genre_scores_gemma":[0.0016286329,0.000807351,0.013841952,0.0001694593,0.0005760425,0.002125598,0.00030814516,0.00090499985,0.9796378],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941239,0.000102469865,0.00096120534,0.0033680024,0.0005428793,0.0009015676],"domain_scores_gemma":[0.9910951,0.00016908169,0.00095233077,0.0071989177,0.00012886745,0.00045567582],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009527003,0.0009471308,0.0009523128,0.00015875373,0.0001995521,0.00012927756,0.0020706274,0.0012424408,0.9578631],"category_scores_gemma":[0.00029759633,0.0009642517,0.00044574225,0.00012341504,0.00040218842,0.0001427798,0.0020312725,0.0010128411,0.86084396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001023885,0.00032241808,0.0017747976,0.00044161396,0.0002652152,0.000046040856,0.00012564228,0.0000024738185,0.05530456,0.0011151257,0.9254385,0.015061176],"study_design_scores_gemma":[0.00069656875,4.7685745e-7,0.000034018813,0.00035648618,0.00009765231,0.00008158254,0.000020177758,0.000007110807,0.107748896,0.005008305,0.8849813,0.0009674354],"about_ca_topic_score_codex":0.00029987938,"about_ca_topic_score_gemma":0.000053459964,"teacher_disagreement_score":0.09701909,"about_ca_system_score_codex":0.0004091593,"about_ca_system_score_gemma":0.00026507003,"threshold_uncertainty_score":0.9992808},"labels":[],"label_agreement":null},{"id":"W6980301048","doi":"","title":"Black spruce (Picea mariana) as an indicator species of the effects of forestry on treed bos, southwest Nova Scotia","year":2008,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bog; Black spruce; Precipitation; Nova scotia; Habitat; Taiga","score_opus":0.014407893799202865,"score_gpt":0.22656391749219892,"score_spread":0.21215602369299605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980301048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928301,0.000008844254,0.0007238811,0.0001344369,0.00006529789,0.00035149176,0.00009555928,0.0001206703,0.0056697326],"genre_scores_gemma":[0.9932491,0.000037463447,0.00094270514,0.00007346647,0.00007871153,0.0000014751241,0.000031589363,0.000050826715,0.0055346554],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845,0.000047801386,0.00032369327,0.00048993574,0.00036864888,0.00031995118],"domain_scores_gemma":[0.9977072,0.00014737227,0.0005643394,0.001348401,0.00007869254,0.0001540195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006294976,0.000313151,0.00039393833,0.00018503169,0.00016974915,0.000021887203,0.0014734715,0.00026033176,0.00007162951],"category_scores_gemma":[0.000050060953,0.0002922923,0.00020282666,0.00034933438,0.0005492451,0.00027837217,0.00046019463,0.000411229,0.000038434828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022149166,0.0004638751,0.8118293,0.00048415456,0.00010003525,0.00006966631,0.0013574151,0.00007493342,0.18130054,0.003856606,0.00005358527,0.0001883752],"study_design_scores_gemma":[0.0015084626,0.0002798793,0.12012182,0.0004889821,0.00013005508,0.000023371153,0.0005908269,0.000009092817,0.8720696,0.00030328607,0.00399047,0.00048414877],"about_ca_topic_score_codex":0.00041222273,"about_ca_topic_score_gemma":0.0005843751,"teacher_disagreement_score":0.6917075,"about_ca_system_score_codex":0.00012967795,"about_ca_system_score_gemma":0.000119235076,"threshold_uncertainty_score":0.9999529},"labels":[],"label_agreement":null},{"id":"W6980382556","doi":"","title":"Canada’s Standard of Living in 2042 : Will Policy Keep Pace with Technology?","year":2017,"lang":"en","type":"other","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Liquation; Dysgeusia; Diafiltration; Emperipolesis; Triacetin; Fusible alloy","score_opus":0.0034109699438307594,"score_gpt":0.18117800056043085,"score_spread":0.1777670306166001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980382556","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035829595,0.00036268163,0.0015301288,0.00069850934,0.00013359624,0.00042375084,0.0014080235,0.0005156273,0.99134475],"genre_scores_gemma":[0.10743155,0.0009846685,0.0039800173,0.000055002663,0.00028002137,0.0000026625755,0.000134886,0.00023244992,0.88689876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977007,0.000049419796,0.00026869075,0.00092458155,0.00051855546,0.00053808105],"domain_scores_gemma":[0.99744487,0.000091700225,0.0008453048,0.0012090591,0.00013590226,0.00027314288],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004154965,0.00059093226,0.00076336414,0.0017055665,0.0006426733,0.00004577692,0.001688308,0.00083040487,0.00030323936],"category_scores_gemma":[0.000051653522,0.00072417856,0.00018193705,0.00090604066,0.0011876867,0.00074517244,0.0007522905,0.0008553513,0.0000016966454],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018743807,0.0005515685,0.041558143,0.0020932055,0.0015000842,0.015717924,0.00024350322,0.0021418144,0.012816967,0.6649879,0.2528335,0.0036809929],"study_design_scores_gemma":[0.0006288431,0.00005940406,0.000073427276,0.002484245,0.00012037667,0.00007382891,0.00045785494,0.000015412455,0.008708311,0.00006839495,0.9865745,0.00073542795],"about_ca_topic_score_codex":0.11082428,"about_ca_topic_score_gemma":0.0689299,"teacher_disagreement_score":0.733741,"about_ca_system_score_codex":0.0021523193,"about_ca_system_score_gemma":0.009868347,"threshold_uncertainty_score":0.99952096},"labels":[],"label_agreement":null},{"id":"W6980406751","doi":"","title":"Canada may approve an oil pipeline that threatens the world’s most endangered killer whales - NationofChange","year":2016,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endangered species; Pipeline (software); Fishing; Petroleum; Oil exploration; Whale","score_opus":0.02096709337898951,"score_gpt":0.27151221797326147,"score_spread":0.250545124594272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980406751","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000058461205,0.0003540919,0.00394153,0.0036623876,0.000088127126,0.0002284284,0.0012341674,0.00045076173,0.99003464],"genre_scores_gemma":[0.0006760655,0.000699802,0.007020855,0.00080912374,0.0007580125,0.00067847123,0.00060130015,0.00040439758,0.988352],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987161,0.00001210048,0.0002089881,0.00048665117,0.00025751366,0.0003186254],"domain_scores_gemma":[0.99847937,0.00006640224,0.00027123056,0.0010097311,0.00006253331,0.00011074101],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000056733934,0.00037452305,0.0002681354,0.000068828434,0.00013314643,0.00004423449,0.0005826716,0.00022504274,0.023017412],"category_scores_gemma":[0.000009304604,0.00022569434,0.00006120143,0.000100834215,0.00009852499,0.000049716502,0.00011068121,0.0002486238,0.000052786043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004529275,0.00002731031,0.000021936263,0.000048162965,0.00003622251,0.0000023862017,0.000013891512,3.689365e-7,0.00089393015,0.006369651,0.97263795,0.019943671],"study_design_scores_gemma":[0.00014539191,0.00000193768,0.0000010121385,0.000101168946,0.000023891942,0.0000040566924,0.000057708472,0.00002551474,0.018852407,0.00049854163,0.97993374,0.000354621],"about_ca_topic_score_codex":0.26099852,"about_ca_topic_score_gemma":0.8997196,"teacher_disagreement_score":0.63872105,"about_ca_system_score_codex":0.00022601926,"about_ca_system_score_gemma":0.0002638451,"threshold_uncertainty_score":0.9778757},"labels":[],"label_agreement":null},{"id":"W6980423841","doi":"","title":"Canada’s Clean Technology Investment Tax Credit Explained","year":2025,"lang":"en","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clean technology; Investment (military); Tax credit; Payment; Debt; Government (linguistics)","score_opus":0.006568526468663935,"score_gpt":0.23917392552534641,"score_spread":0.23260539905668248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980423841","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000020392517,0.00016926618,0.007091714,0.0020326718,0.000038719383,0.00021383524,0.00042826374,0.0008848822,0.9891386],"genre_scores_gemma":[0.00010229632,0.00013547388,0.05313339,0.00082065945,0.00013232407,0.00042863115,0.00014041235,0.00016806272,0.9449387],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916255,0.0000018779617,0.00017440013,0.00035042057,0.00010202612,0.0002087296],"domain_scores_gemma":[0.9990752,0.000010796539,0.00013062307,0.000704301,0.000023197481,0.00005589807],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001305225,0.0002244932,0.00022652812,0.000115166535,0.000045916975,0.0000075401495,0.0003835555,0.00042527087,0.011003329],"category_scores_gemma":[0.000017105422,0.00022122805,0.000034979963,0.000116736606,0.000051981482,0.000006408079,0.0001451761,0.00027495544,0.00001789213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.37077e-7,0.000012421214,0.0000045327233,0.000038435515,0.000025549407,0.0000036398428,5.051669e-7,2.6594736e-7,0.0006607277,0.092635885,0.90463716,0.0019799508],"study_design_scores_gemma":[0.00008471953,0.0000029388248,8.961756e-8,0.00009033277,0.000012689744,0.0000013346689,0.000033628905,0.000006332335,0.05998967,0.006001969,0.9335745,0.00020179467],"about_ca_topic_score_codex":0.3940433,"about_ca_topic_score_gemma":0.65613693,"teacher_disagreement_score":0.26209363,"about_ca_system_score_codex":0.00023158538,"about_ca_system_score_gemma":0.00088645564,"threshold_uncertainty_score":0.98990077},"labels":[],"label_agreement":null},{"id":"W6980579920","doi":"","title":"A Clean &amp; Healthy Environment: The Barriers &amp; Limitations of This Emerging Human Right","year":2001,"lang":"en","type":"article","venue":"Dalhousie journal of legal studies","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human rights; Order (exchange); Right to health; Right to development; Sustainable development; International law; Right to know","score_opus":0.058365009755273596,"score_gpt":0.32752851257074017,"score_spread":0.2691635028154666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980579920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563728,0.0056211906,0.010985943,0.008918644,0.00007930126,0.00024469726,0.000044451135,0.000066040484,0.017666927],"genre_scores_gemma":[0.9701407,0.012185881,0.014878099,0.00023745293,0.0002238214,0.000035296714,0.0000060468797,0.00003138971,0.0022612945],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871707,0.000027768318,0.000639481,0.00013383274,0.00027415284,0.00020769912],"domain_scores_gemma":[0.9985809,0.00018047939,0.0007024426,0.00030793322,0.00013561803,0.00009267589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003008902,0.00015273798,0.00030428983,0.00006036157,0.0006548453,0.000018847177,0.0003159668,0.00004967512,0.00023944475],"category_scores_gemma":[0.00015184228,0.000107513966,0.00016905983,0.0001290805,0.00025500017,0.00014002682,0.00010210616,0.00039526337,0.000008068296],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012480913,0.0020587235,0.025802288,0.0008054996,0.005584806,0.00014865532,0.06412629,0.007115666,0.5488168,0.1306986,0.14145914,0.07213546],"study_design_scores_gemma":[0.0003743456,0.00006904732,0.000117481235,0.00007769007,0.000107956184,0.0000857317,0.0019623488,0.000006121947,0.0072237826,0.008427737,0.981383,0.00016475767],"about_ca_topic_score_codex":0.000028196331,"about_ca_topic_score_gemma":0.0000812092,"teacher_disagreement_score":0.83992386,"about_ca_system_score_codex":0.00010151069,"about_ca_system_score_gemma":0.000035108864,"threshold_uncertainty_score":0.5036607},"labels":[],"label_agreement":null},{"id":"W6980696073","doi":"","title":"Conception d'un modèle de simulation pour évaluer les effets de la coordination d'un réseau de cours à bois","year":2023,"lang":"fr","type":"other","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation infrastructure; Rail transportation; Limiting","score_opus":0.020384110505973455,"score_gpt":0.3089180330553055,"score_spread":0.2885339225493321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980696073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025544593,0.00018383049,0.8920477,0.001482244,0.000045251072,0.0006607328,0.000120743796,0.0011722888,0.07874264],"genre_scores_gemma":[0.5911032,0.00042398617,0.20718388,0.00014247007,0.0006244602,0.0006027829,0.0001662154,0.0005831652,0.19916981],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800545,0.00019345287,0.00042548875,0.00057479256,0.00023006591,0.00057074113],"domain_scores_gemma":[0.9981164,0.00065821555,0.00040297685,0.0004864732,0.00014854092,0.00018742894],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005840079,0.00045365654,0.0003548716,0.000113914735,0.00028675844,0.000093164956,0.00031587548,0.0012953929,0.0065101716],"category_scores_gemma":[0.00024173036,0.0005268124,0.00020190454,0.00022264452,0.00020484666,0.000104387655,0.00008947517,0.00061875634,0.00022828138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009857987,0.0007039165,0.015844984,0.000632162,0.00035680283,0.000032075615,0.0008180114,0.24040446,0.33971596,0.124478854,0.013773806,0.2631404],"study_design_scores_gemma":[0.001403176,0.00003961227,0.0020103522,0.00049285707,0.0002798842,0.000029190505,0.00028897033,0.44206855,0.40079865,0.0754998,0.076097965,0.0009909823],"about_ca_topic_score_codex":0.00056914677,"about_ca_topic_score_gemma":0.00006382406,"teacher_disagreement_score":0.6848638,"about_ca_system_score_codex":0.001408896,"about_ca_system_score_gemma":0.00025226106,"threshold_uncertainty_score":0.99971837},"labels":[],"label_agreement":null},{"id":"W6980713600","doi":"","title":"Conscience et gestion, exploration des effets de la pratique du dialogue et de la présence attentive sur le développement de la conscience des gestionnaires","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conscience; Perspective (graphical); Context (archaeology); Relation (database)","score_opus":0.005680709669854311,"score_gpt":0.20090627953521792,"score_spread":0.1952255698653636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980713600","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21334818,0.0008636963,0.29602677,0.010966636,0.00006439049,0.0008202205,0.0006891102,0.000093833965,0.4771272],"genre_scores_gemma":[0.8768147,0.007067096,0.09898225,0.000879934,0.000051488503,0.00018407234,0.000029594097,0.00006526411,0.015925547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973977,0.000668758,0.00034063007,0.0004607508,0.00068667607,0.00044545438],"domain_scores_gemma":[0.9969817,0.0020707604,0.0003685981,0.00025148707,0.0000057947877,0.00032168682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020615285,0.0003358634,0.00027029362,0.00003432069,0.00048303153,0.00013780693,0.00040569625,0.00017085402,0.00011931581],"category_scores_gemma":[0.00016379476,0.00036555863,0.000038350863,0.00014461906,0.0020839605,0.00055633695,0.00018577705,0.0004414318,1.2861833e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001227432,0.0003223502,0.15057842,0.00067638524,0.000078879755,0.00019395251,0.0018200866,0.0036845338,0.3098426,0.51759464,0.0027934385,0.012292004],"study_design_scores_gemma":[0.0009387407,0.00009830203,0.13030705,0.002791691,0.00006996161,0.00028073945,0.0027806046,0.0051005445,0.68427694,0.08555331,0.086803935,0.0009981868],"about_ca_topic_score_codex":0.012948067,"about_ca_topic_score_gemma":0.0278325,"teacher_disagreement_score":0.6634666,"about_ca_system_score_codex":0.00016303887,"about_ca_system_score_gemma":0.009789904,"threshold_uncertainty_score":0.99987966},"labels":[],"label_agreement":null},{"id":"W6981193498","doi":"","title":"Drinking Parameters and Associated Factors among Alcoholics Attending De-Addiction Center at a Tertiary Care Hospital, Jaipur","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Observational study; Alcohol; Quarter (Canadian coin); Alcohol consumption; Addiction; Audit; Family income; Tertiary care; Binge drinking","score_opus":0.09337289063550566,"score_gpt":0.47028328578121137,"score_spread":0.3769103951457057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981193498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99560046,0.0010063745,0.0010513599,0.000041235377,0.000106495296,0.0003386717,0.00009504682,0.00012288234,0.0016374592],"genre_scores_gemma":[0.99612886,0.0020798654,0.0012498148,0.00008500074,0.0000997698,0.000094886505,0.000080626894,0.00006999177,0.00011118744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981945,0.000051173032,0.0005485408,0.00046394934,0.0003116918,0.00043011204],"domain_scores_gemma":[0.998211,0.00012858686,0.0008175939,0.00039674662,0.00022030679,0.00022575173],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025293865,0.00030865957,0.00041031634,0.00023229867,0.0005832035,0.0005977216,0.0010212242,0.00021478209,0.0012012727],"category_scores_gemma":[0.00013087637,0.0003052985,0.00014716739,0.0003029853,0.00022961055,0.0011145861,0.0009025601,0.0004103873,0.0000025827576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016295015,0.000070429785,0.86717767,0.000029490351,0.00011645193,0.0000045212705,0.0005582186,0.000009859978,0.12741475,0.000008339871,0.0018454128,0.002748567],"study_design_scores_gemma":[0.0003589605,0.0000074135996,0.63116497,0.0005192954,0.00008456745,0.000006328052,0.00025207837,0.00013321576,0.36418635,0.0011304327,0.0017355864,0.00042077675],"about_ca_topic_score_codex":0.0004266863,"about_ca_topic_score_gemma":0.0000676395,"teacher_disagreement_score":0.23677161,"about_ca_system_score_codex":0.00048111225,"about_ca_system_score_gemma":0.00003328418,"threshold_uncertainty_score":0.9999399},"labels":[],"label_agreement":null},{"id":"W6981470628","doi":"","title":"El Parque Pereyra Iraola como reserva de biósfera: conflictos y potencialidades","year":2010,"lang":"es","type":"article","venue":"Americanae (AECID Library)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Urban planning; Work (physics); Urban environment","score_opus":0.008585151652473196,"score_gpt":0.2720256305361868,"score_spread":0.2634404788837136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981470628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599598,0.00037379193,0.0045671435,0.008808812,0.00012923824,0.00064777094,0.00058941805,0.00095507497,0.023968957],"genre_scores_gemma":[0.91092837,0.001428534,0.078315176,0.0027654532,0.0010636351,0.00047791973,0.00024727872,0.0002524803,0.0045211813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968404,0.0000799539,0.0007357993,0.00096895744,0.00035147808,0.0010233924],"domain_scores_gemma":[0.99665654,0.000277582,0.0005182309,0.001819096,0.00009560325,0.0006329794],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013444418,0.0006511832,0.00070659205,0.00015226446,0.00046926306,0.0003157629,0.0015398725,0.0005581937,0.003726117],"category_scores_gemma":[0.00015542668,0.0007005506,0.00031391057,0.00075021584,0.00088087755,0.00082065753,0.000537811,0.0017642233,0.00018042863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103434366,0.00039971276,0.26612407,0.00017870367,0.00015444504,0.000082002945,0.00032466787,0.000015438385,0.5889128,0.10954453,0.020804241,0.013355979],"study_design_scores_gemma":[0.00061104447,0.00015626385,0.031556062,0.00014967145,0.00011101699,0.00005895838,0.00032899552,0.00057263445,0.5491087,0.0112976385,0.40469858,0.0013504538],"about_ca_topic_score_codex":0.011255091,"about_ca_topic_score_gemma":0.000021349864,"teacher_disagreement_score":0.38389432,"about_ca_system_score_codex":0.000071553506,"about_ca_system_score_gemma":0.00050709024,"threshold_uncertainty_score":0.99954456},"labels":[],"label_agreement":null},{"id":"W6981713579","doi":"","title":"Evolution of the ripple field under a wave regime on the offshore of the breaker bar, along the beach profile: Experiment using CT-Scan imaging.","year":2015,"lang":"en","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Submarine pipeline; Flume; Wave flume; Bed load; Ripple; Particle image velocimetry; Surf zone; Beach morphodynamics; Bar (unit); Current (fluid)","score_opus":0.05130458441314442,"score_gpt":0.33090780803457404,"score_spread":0.27960322362142964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981713579","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013961611,0.0037367376,0.010710449,0.21849082,0.0043051466,0.016476419,0.01388494,0.00017182424,0.7182621],"genre_scores_gemma":[0.58459115,0.000012241066,0.0023053691,0.00022922285,0.0004663215,0.0012777006,0.00039520938,0.0001841804,0.41053858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99614275,0.00010282227,0.00035665077,0.0004979223,0.0024975322,0.0004023267],"domain_scores_gemma":[0.9969067,0.00029862777,0.00043113576,0.0013231761,0.00096348213,0.0000769024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425796,0.00023002793,0.00020177271,0.00010362411,0.0010632479,0.00009323578,0.0013974018,0.00009362679,0.0003515797],"category_scores_gemma":[0.00052424625,0.0001192223,0.00013443404,0.00070058426,0.0012837183,0.00006323305,0.0003925556,0.00062377146,7.2966776e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019319072,0.00005325749,0.00003348855,0.000063915286,0.000051306117,4.6296378e-7,0.000054384087,0.00089602446,0.005993804,0.10441696,0.88830096,0.000116126306],"study_design_scores_gemma":[0.00016368079,0.0000075127327,0.000021734413,0.00032689096,0.00001715946,0.000006843306,0.00047647685,0.0042807655,0.0815036,0.003661147,0.90937996,0.0001542311],"about_ca_topic_score_codex":0.19642214,"about_ca_topic_score_gemma":0.72751397,"teacher_disagreement_score":0.57062954,"about_ca_system_score_codex":0.0015624847,"about_ca_system_score_gemma":0.008086512,"threshold_uncertainty_score":0.9975367},"labels":[],"label_agreement":null},{"id":"W6992269351","doi":"","title":"Label-free quantitative proteomics of surgically isolated brain vessels from Alzheimer's mice to study the effect of Pioglitazone","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pioglitazone; Quantitative analysis (chemistry); Proteomics; Quantitative proteomics; Central nervous system; Blood vessel","score_opus":0.016534638563760827,"score_gpt":0.30917894066688983,"score_spread":0.29264430210312903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992269351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98884803,0.000026339507,0.0074382285,0.0007490882,0.000018550742,0.001260091,0.0002676701,0.00006958845,0.0013224147],"genre_scores_gemma":[0.8800111,0.0000030431986,0.11940149,0.000027542059,0.000027103852,0.00045474837,0.000016201082,0.000026986581,0.000031788706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988929,0.000063702,0.00038579534,0.00029442576,0.00018935185,0.0001738115],"domain_scores_gemma":[0.9977361,0.0008801339,0.00024962152,0.0009290817,0.00013943845,0.00006560821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003875971,0.00017393904,0.0003309233,0.000029976962,0.00007902715,0.000011608335,0.00073094293,0.00011481629,0.00022306699],"category_scores_gemma":[0.00035462747,0.00012638744,0.00006849024,0.00022453364,0.00011828972,0.000045486777,0.00022296593,0.00037898755,0.000006772349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003091874,0.00020637333,0.000718331,0.000013911271,0.0001730366,0.000001197666,0.00053008297,0.000004776285,0.9941733,0.0022657563,0.00016874673,0.0014352942],"study_design_scores_gemma":[0.000929795,0.00050472206,0.00019820225,0.000022849888,0.00009514726,0.0000011155913,0.00012938984,0.0002860222,0.98297495,0.014499619,0.00021932143,0.00013885388],"about_ca_topic_score_codex":0.00013379347,"about_ca_topic_score_gemma":0.000041575244,"teacher_disagreement_score":0.111963265,"about_ca_system_score_codex":0.000009396392,"about_ca_system_score_gemma":0.000023494527,"threshold_uncertainty_score":0.515393},"labels":[],"label_agreement":null},{"id":"W6992799042","doi":"","title":"Methodologies for accurate estimation of protein abundance for mass spectrometry based proteomics","year":2010,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Quantitative proteomics; Mass spectrometry; Proteomics; Peptide; Envelope (radar); Quantitative analysis (chemistry); Sample (material)","score_opus":0.03499247338175703,"score_gpt":0.3279237775153157,"score_spread":0.29293130413355867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992799042","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7684209,0.0001936809,0.18519604,0.0000859244,0.00045750252,0.014513417,0.0193698,0.0013177871,0.010444957],"genre_scores_gemma":[0.124726154,0.000031516487,0.8553278,0.000027295531,0.00005580134,0.013587225,0.0034353458,0.00025741107,0.0025514795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99653894,0.00006350377,0.0012139375,0.0011452709,0.00038230175,0.00065602624],"domain_scores_gemma":[0.9951842,0.0007990016,0.001955822,0.0011381096,0.00077445875,0.00014840956],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001034929,0.000768176,0.0009791947,0.00029364775,0.0007398598,0.00006812298,0.0009737577,0.0014722068,0.00009684256],"category_scores_gemma":[0.0030864715,0.0008422742,0.00056565995,0.00037400547,0.00009877482,0.0004089408,0.00005780608,0.0014090224,0.000005976795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063043664,0.00009603503,7.579791e-7,0.0026444145,0.00007358565,6.121828e-7,0.0000016968223,0.0003118688,0.90683246,0.062877975,0.0000013900584,0.026528768],"study_design_scores_gemma":[0.00070850604,0.000101352474,0.0000037436057,0.00039089794,0.00013001414,0.0000015481536,0.000039608432,0.0012834849,0.74579567,0.2477162,0.0031901982,0.0006387586],"about_ca_topic_score_codex":0.000028487879,"about_ca_topic_score_gemma":0.00006610629,"teacher_disagreement_score":0.67013174,"about_ca_system_score_codex":0.00041777373,"about_ca_system_score_gemma":0.00013816151,"threshold_uncertainty_score":0.9998241},"labels":[],"label_agreement":null},{"id":"W6994635543","doi":"","title":"Mini Symposium","year":2019,"lang":"en","type":"article","venue":"PubMed Central","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantitative proteomics; Proteomics; Mass spectrometry; Sample (material); Quantitative analysis (chemistry); Measure (data warehouse); Tandem mass spectrometry","score_opus":0.007747137533766842,"score_gpt":0.22219351745266297,"score_spread":0.21444637991889612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6994635543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85920435,0.0000419658,0.0018860142,0.00069665303,0.00012681153,0.00028789765,0.00002719109,0.00027214127,0.13745695],"genre_scores_gemma":[0.9833636,0.00004156787,0.0058754366,0.00012119667,0.00021624044,0.00038303,0.0000292294,0.000018869005,0.009950802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903166,0.000001897577,0.00010139453,0.00017726434,0.00007394233,0.0006138212],"domain_scores_gemma":[0.99950755,0.000011897741,0.000039598057,0.0002799759,0.000009535545,0.00015146326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003941833,0.0000765721,0.000075738695,0.000010479729,0.000027834156,0.000017122642,0.0001595656,0.00005838444,0.00064842624],"category_scores_gemma":[0.000006345562,0.00007623364,0.000045810695,0.00004438504,0.000016862186,0.000055062443,0.000036998263,0.000106778774,0.00008750832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007243333,0.0002976337,0.22927284,0.00020867305,0.00006347136,0.0000068894537,0.00030004358,0.0002105962,0.66653883,0.06285481,0.006927925,0.03324585],"study_design_scores_gemma":[0.0003456168,0.000004784631,0.005290701,0.000010265794,0.000010204277,0.00000829093,0.000032509517,0.00019275116,0.641248,0.0028395155,0.34977412,0.00024326236],"about_ca_topic_score_codex":0.0000053494286,"about_ca_topic_score_gemma":8.323079e-7,"teacher_disagreement_score":0.3428462,"about_ca_system_score_codex":0.00009186628,"about_ca_system_score_gemma":0.000019552856,"threshold_uncertainty_score":0.70998126},"labels":[],"label_agreement":null},{"id":"W6996365943","doi":"","title":"Risk analysis and clinical outcomes of intraoperative periprosthetic fractures","year":2019,"lang":"en","type":"article","venue":"Dokumentenrepositorium der RUB (Ruhr University Bochum)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ruhr-Universität Bochum; Deutsche Forschungsgemeinschaft","keywords":"Periprosthetic; Complication; Femoral neck; Femur; Risk factor; Risk assessment; Retrospective cohort study; Orthopedic surgery; Arthroplasty","score_opus":0.004989765103392969,"score_gpt":0.2641332596123306,"score_spread":0.2591434945089376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996365943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99067503,0.00004807772,0.0055508586,0.00011498912,0.00006739873,0.00021112333,0.00007020016,0.00008110287,0.0031811988],"genre_scores_gemma":[0.98847353,0.00017928398,0.008330216,0.000037374462,0.000039630755,0.0000026231596,0.000030773226,0.000013120195,0.002893462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880785,0.000038833306,0.00031382227,0.0004570035,0.00018982709,0.00019264605],"domain_scores_gemma":[0.9987855,0.000112850124,0.00031995735,0.0005249946,0.0001363129,0.0001203722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011324464,0.00019265494,0.00045231052,0.000116649506,0.00018346589,0.000033125958,0.0002762898,0.00017077141,0.00021236758],"category_scores_gemma":[0.000021229282,0.00018253199,0.0002891582,0.00026326752,0.00016854308,0.00015209863,0.00017997371,0.00032069025,0.000007895277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006522535,0.00014571655,0.9868415,0.000018742372,0.0010456834,0.000007316345,0.0002470342,0.000036631314,0.010393518,0.00076437206,0.00004273614,0.000391547],"study_design_scores_gemma":[0.0027620401,0.00027398748,0.7292396,0.000049558726,0.004672303,0.00001676319,0.0032319897,0.0014725466,0.2427998,0.00084442954,0.013558208,0.00107877],"about_ca_topic_score_codex":0.00048636398,"about_ca_topic_score_gemma":0.000032775028,"teacher_disagreement_score":0.2576019,"about_ca_system_score_codex":0.000082387734,"about_ca_system_score_gemma":0.00003248658,"threshold_uncertainty_score":0.7443439},"labels":[],"label_agreement":null},{"id":"W6997198418","doi":"","title":"The use of tryptic food protein digests data in public proteomic repositories to assess the effects of chemical and post-translational modifications on digestion outcomes","year":2023,"lang":"en","type":"article","venue":"IMAGINE - Repository of the Institute of molecular genetics and genetic engineering (University of Belgrade)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trypsin; Digestion (alchemy); Lysine; Maillard reaction; Pepsin; Succinylation; Mass spectrometry","score_opus":0.01972458535331853,"score_gpt":0.22755988268417848,"score_spread":0.20783529733085995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997198418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096084,0.00019168717,0.007317285,0.0009671167,0.000030848616,0.0004736105,0.00004109346,0.000011655186,0.0000058514843],"genre_scores_gemma":[0.9764073,0.0000655443,0.023476548,0.0000016819102,0.0000057082025,0.00000921182,0.000009580258,0.0000093416365,0.000015088194],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929076,0.000015917482,0.000234723,0.00017575377,0.00019158114,0.00009128719],"domain_scores_gemma":[0.99893737,0.000098486176,0.00018920732,0.00063708704,0.00010532171,0.000032525786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005948239,0.000100731726,0.00016372708,0.000065550164,0.0000811724,0.00001145138,0.0004341817,0.000052354953,7.52342e-8],"category_scores_gemma":[0.00011234889,0.00008160233,0.00004726425,0.00020818043,0.0002783105,0.000049616763,0.00021708447,0.00010501012,1.7953766e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013208484,0.000038863913,0.0025313075,0.00023594064,0.000049941304,0.0000012947612,0.00011474983,0.007771418,0.9874271,0.0013334574,0.0000019154386,0.00048080875],"study_design_scores_gemma":[0.00023067977,0.000056967863,0.06453634,0.00021741178,0.000055054596,0.000006838791,0.000021150016,0.0053976635,0.92898285,0.00028114457,0.00012402407,0.00008988529],"about_ca_topic_score_codex":0.00007395006,"about_ca_topic_score_gemma":0.0000052908986,"teacher_disagreement_score":0.062005036,"about_ca_system_score_codex":0.000011904499,"about_ca_system_score_gemma":0.000050426144,"threshold_uncertainty_score":0.33276466},"labels":[],"label_agreement":null},{"id":"W6999715546","doi":"","title":"Développements de stratégies de spectrométrie de masse sur tissu pour l’identification, la quantification et la cartographie","year":2014,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut Universitaire de France; Ministère de l'Enseignement Supérieur et de la Recherche; Ligue Contre le Cancer; Université de Lille; Université de Sherbrooke","keywords":"Accelerated solvent extraction; Fluorescent labelling; Fish <Actinopterygii>","score_opus":0.019166671307076767,"score_gpt":0.31686973134962937,"score_spread":0.2977030600425526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999715546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3859438,0.0009097633,0.55992323,0.0080215605,0.000083017694,0.0006093636,0.00026548083,0.0005459639,0.04369783],"genre_scores_gemma":[0.9105626,0.0040424163,0.08172348,0.00013969581,0.00023164577,0.00038996903,0.00020181247,0.00010808479,0.0026003043],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972298,0.00043562983,0.00063805416,0.00063981494,0.0002886139,0.00076807855],"domain_scores_gemma":[0.9972399,0.0006793527,0.00045335636,0.0011603106,0.00021806301,0.00024901697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019580189,0.00040327202,0.00033633542,0.00013332083,0.00028820994,0.00032657094,0.0007483517,0.0004770489,0.00027909843],"category_scores_gemma":[0.0004508746,0.00048588656,0.00017553226,0.00040939378,0.00033298772,0.00028364852,0.000120368764,0.00063956267,0.00012211602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018956127,0.0004056269,0.006501993,0.00023785209,0.00008310841,0.000008544291,0.0010647029,0.00019240158,0.52625585,0.4564183,0.0010892741,0.007723409],"study_design_scores_gemma":[0.00046523922,0.00002495343,0.005577332,0.00023283396,0.00016557884,0.00009663932,0.0008552399,0.0017692726,0.6699399,0.15598887,0.16433285,0.00055129646],"about_ca_topic_score_codex":0.0010374098,"about_ca_topic_score_gemma":0.0001472689,"teacher_disagreement_score":0.5246188,"about_ca_system_score_codex":0.00031523305,"about_ca_system_score_gemma":0.00034768903,"threshold_uncertainty_score":0.99975926},"labels":[],"label_agreement":null},{"id":"W7000771683","doi":"","title":"High School Students’ Expulsion Reintegration Following Alternative School: A Phenomenological Study","year":2024,"lang":"en","type":"article","venue":"Scholars Crossing (Liberty University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phenomenology (philosophy); Transcendental number; Quarter (Canadian coin); Focus group; Coping (psychology); Qualitative research; Ninth; Perception; School teachers","score_opus":0.018564584477470114,"score_gpt":0.2922006578782785,"score_spread":0.27363607340080837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000771683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779101,0.00013685945,0.015888099,0.0001260975,0.00015489463,0.00038504705,0.000020596848,0.00084801664,0.0045303036],"genre_scores_gemma":[0.9721407,0.00003416658,0.0129051255,0.00004532449,0.00012838289,0.000017704075,0.00003563089,0.000043845197,0.014649069],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981457,0.00005900529,0.00027146,0.00077329366,0.000408006,0.00034255863],"domain_scores_gemma":[0.9990261,0.00006732971,0.00010348499,0.0004897398,0.000090457404,0.00022287417],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00024838085,0.0002822158,0.00025459897,0.00025472953,0.0011218595,0.0015481899,0.00072335004,0.00018406857,0.00036375006],"category_scores_gemma":[0.00011002328,0.00027234876,0.0001827448,0.00065205176,0.00012337574,0.0013117762,0.0003968833,0.0010448083,0.0001095988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007378887,0.0030819532,0.084271796,0.0002367592,0.0015050833,0.0033662098,0.0059850635,0.0008590269,0.8133398,0.038740378,0.0010823603,0.046793647],"study_design_scores_gemma":[0.02070849,0.0025751507,0.016505655,0.0065609682,0.0024777737,0.00017068407,0.054483775,0.0050888453,0.3523012,0.15191811,0.37837073,0.008838613],"about_ca_topic_score_codex":0.00011826912,"about_ca_topic_score_gemma":0.000017592138,"teacher_disagreement_score":0.46103862,"about_ca_system_score_codex":0.0008122802,"about_ca_system_score_gemma":0.00015351042,"threshold_uncertainty_score":0.9999729},"labels":[],"label_agreement":null},{"id":"W7001169739","doi":"","title":"Individualizing Ovarian Cancer Surveillance: Discovery and Validation of Serological Personalized Biomarkers of Recurrence Using Multiplex Proteomics Technologies","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Multiplex; Ovarian cancer; Proteomics; Personalized medicine; Cancer; Population; Serology; Biomarker","score_opus":0.04472052324070838,"score_gpt":0.37098392427068094,"score_spread":0.32626340102997253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001169739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96650124,0.004454351,0.026654407,0.00018980025,0.00008320296,0.0012637178,0.0005964563,0.00011920523,0.00013765035],"genre_scores_gemma":[0.8465639,0.008182606,0.14348438,0.0000046036525,0.000035463305,0.00045309996,0.0009549945,0.000064221545,0.00025672253],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99699676,0.00011668313,0.0010341092,0.0010007118,0.0004266091,0.000425145],"domain_scores_gemma":[0.99617743,0.00024999087,0.0022822877,0.00068456924,0.0005422069,0.000063526335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041802588,0.00059429643,0.0010851142,0.00019085142,0.00024072034,0.00008912039,0.00046366875,0.0011182195,0.000101593534],"category_scores_gemma":[0.00055451883,0.0006349897,0.00022401461,0.0007267446,0.00065220427,0.00023730307,0.00029054662,0.0006874975,1.641141e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004183262,0.00015252538,0.022264715,0.0024521947,0.00030796963,0.0000025121356,0.0028275382,0.00023823419,0.96756,0.00068197073,0.000006557268,0.0030874542],"study_design_scores_gemma":[0.0007951139,0.000050705068,0.0009264005,0.0018384188,0.00018873515,0.000009922206,0.018497344,0.0020943545,0.9740162,0.00089997746,0.0000700841,0.0006127704],"about_ca_topic_score_codex":0.0009098078,"about_ca_topic_score_gemma":0.000054504133,"teacher_disagreement_score":0.11993731,"about_ca_system_score_codex":0.00018652734,"about_ca_system_score_gemma":0.00045710875,"threshold_uncertainty_score":0.9996101},"labels":[],"label_agreement":null},{"id":"W7005143553","doi":"","title":"Photograph - Samuel DeVeaux Woodruff at DeVeaux Hall","year":2015,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photography; Woodcock; Relation (database); Field (mathematics)","score_opus":0.0110367626803628,"score_gpt":0.20149777507503822,"score_spread":0.19046101239467542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005143553","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022672426,0.00015936636,0.0016175595,0.0000020619182,0.00009246587,0.00020033607,0.0007664955,0.0011778288,0.99371666],"genre_scores_gemma":[0.0015332159,0.0001982659,0.0018028081,0.000017212611,0.00014772886,0.0000011284026,0.0004910803,0.00028147543,0.9955271],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979947,0.000026220836,0.0002048425,0.00088167365,0.00039959155,0.000492934],"domain_scores_gemma":[0.9979863,0.000053920685,0.00046042996,0.00085229124,0.00018081085,0.00046622884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000022294223,0.0005307329,0.00040298136,0.0005251765,0.00038698822,0.00009289667,0.0011260443,0.0008269519,0.00024639905],"category_scores_gemma":[0.000022127077,0.0007558771,0.0003350598,0.00057576015,0.00023994158,0.00042059398,0.0010435471,0.00046459568,0.00017671681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020115853,0.00013985735,0.0010009427,0.00014528589,0.00022258876,0.00020160282,0.0000075161433,0.000011904992,0.0139586935,0.00026386138,0.98360074,0.00024585598],"study_design_scores_gemma":[0.00052641454,0.000033323962,0.0000073559213,0.00021195333,0.00015928845,0.00008603445,0.0012338972,0.0000011331675,0.005809452,0.00009897208,0.9910343,0.0007978758],"about_ca_topic_score_codex":0.00023949344,"about_ca_topic_score_gemma":0.00094833074,"teacher_disagreement_score":0.008149242,"about_ca_system_score_codex":0.00071680866,"about_ca_system_score_gemma":0.00030777988,"threshold_uncertainty_score":0.99948925},"labels":[],"label_agreement":null},{"id":"W7008983221","doi":"","title":"Design, development and application of new technological approaches in subcellular proteomics","year":2008,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Proteomics; Proteome; Organelle; Subcellular localization; Identification (biology); Cell fractionation; Protein subcellular localization prediction; Differential centrifugation","score_opus":0.03975501230101793,"score_gpt":0.2501733947928015,"score_spread":0.21041838249178355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008983221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860945,0.00051357347,0.002676272,0.000012505786,0.000019534837,0.0019522766,0.00010672335,0.00039561137,0.008229035],"genre_scores_gemma":[0.7005644,0.0005079773,0.2945167,0.0000105943345,0.000012677341,0.0019209489,0.0007772166,0.00012511636,0.001564365],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997096,0.00004209528,0.0010251771,0.0010330371,0.00036734433,0.000436374],"domain_scores_gemma":[0.99818456,0.000086390115,0.00073881826,0.00071161776,0.00011137809,0.00016722281],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00037766472,0.0005908655,0.0006740264,0.00027110026,0.00037521918,0.000019205738,0.00060995977,0.0013086832,0.000023447179],"category_scores_gemma":[0.00014940098,0.0006415969,0.000105549145,0.0004501387,0.00011963578,0.00018083892,0.00014271581,0.0013033078,0.000013285377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014777324,0.00027233563,0.00006184364,0.00045391062,0.000046127436,0.000009402787,0.00002101565,0.00007031002,0.6832279,0.032334853,6.517078e-7,0.2833539],"study_design_scores_gemma":[0.0004102397,0.000026160436,0.000055457494,0.00019846417,0.0000311763,0.000019628173,0.00013700803,0.00012382312,0.9526009,0.036312684,0.009454739,0.0006297504],"about_ca_topic_score_codex":0.00007298527,"about_ca_topic_score_gemma":0.000080814876,"teacher_disagreement_score":0.29184043,"about_ca_system_score_codex":0.000467771,"about_ca_system_score_gemma":0.00011559611,"threshold_uncertainty_score":0.99998784},"labels":[],"label_agreement":null},{"id":"W7010337958","doi":"","title":"Integration of solid-phase extraction membranes for sample multiplexing: Application to rapid protein identification from gel-isolated protein extract","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Sample (material); Membrane; Identification (biology); Sample preparation","score_opus":0.03292904667853263,"score_gpt":0.33996373984249706,"score_spread":0.3070346931639644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010337958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20362999,0.00003200085,0.7923248,0.00038898952,0.000012591247,0.0024314702,0.00068417814,0.0002243894,0.00027162273],"genre_scores_gemma":[0.7509336,0.000016916141,0.24169083,0.000014734384,0.000103893006,0.0061911237,0.0006937043,0.000038110553,0.0003170859],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984178,0.000018617902,0.0006550863,0.00050112815,0.00019188113,0.00021550346],"domain_scores_gemma":[0.9984185,0.00011598619,0.0005098238,0.000606317,0.00025860305,0.000090787595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015921844,0.00020548663,0.00022922808,0.00009694916,0.00017003334,0.00003829877,0.0002503982,0.0001952843,0.0005857807],"category_scores_gemma":[0.00025908044,0.00022170467,0.00010191759,0.00022664259,0.00003936865,0.00027326407,0.000025982934,0.00017583165,0.000022387483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015100472,0.0003511314,0.0000026218584,0.00009632888,0.000013801861,1.02034e-7,0.00016323307,0.00007394482,0.87940246,0.00081201625,0.00009205789,0.11884132],"study_design_scores_gemma":[0.0005724264,0.000061890874,0.000005877678,0.00007232264,0.000018682193,8.502738e-7,0.000060837825,0.10338973,0.86836237,0.018549856,0.008706629,0.00019851579],"about_ca_topic_score_codex":0.00008588922,"about_ca_topic_score_gemma":0.0000185613,"teacher_disagreement_score":0.55063397,"about_ca_system_score_codex":0.00010820874,"about_ca_system_score_gemma":0.0000149971975,"threshold_uncertainty_score":0.90408546},"labels":[],"label_agreement":null},{"id":"W7014641862","doi":"","title":"A repository of assays to quantify 10,000 human proteins by SWATH-MS","year":2014,"lang":"en","type":"article","venue":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"","keywords":"HeLa; Proteolysis; Cell; LNCaP; Proteomics; Blood cell; Blood proteins","score_opus":0.006164550180424725,"score_gpt":0.21451535643571176,"score_spread":0.20835080625528704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014641862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97315836,0.000017629134,0.0061178016,0.0014189461,0.000017620881,0.00025803453,0.000021940354,0.00014233154,0.018847344],"genre_scores_gemma":[0.98854965,0.000015852625,0.008877356,0.00001038433,0.000072780116,0.0000034815478,0.0000023849561,0.000007321048,0.0024607969],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990067,0.0000073449214,0.00015734197,0.00035879377,0.00025210858,0.00021773097],"domain_scores_gemma":[0.9989678,0.00002074373,0.00019539318,0.00051011046,0.00023946776,0.000066482244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024535746,0.00011041044,0.00019586743,0.0001761143,0.0008112741,0.000016152984,0.0008934154,0.00014987375,0.00008848697],"category_scores_gemma":[0.00006386697,0.00010576735,0.00003670458,0.0008339561,0.002624079,0.00014133666,0.0003559198,0.00021113029,0.0000050382628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014096959,0.000052447907,0.00086081505,0.000021501131,0.0000059441754,0.000002092443,0.00019043889,0.0000020313514,0.96113175,0.02716968,0.0008664167,0.0096828],"study_design_scores_gemma":[0.000225769,0.00011477942,0.00036213917,0.000073641,0.000018153067,0.0000066502307,0.00093869533,0.000053159725,0.91639316,0.0031594487,0.07848158,0.00017282246],"about_ca_topic_score_codex":0.00018364275,"about_ca_topic_score_gemma":0.000036911082,"teacher_disagreement_score":0.07761516,"about_ca_system_score_codex":0.00006480821,"about_ca_system_score_gemma":0.000061032933,"threshold_uncertainty_score":0.9668528},"labels":[],"label_agreement":null},{"id":"W7016237227","doi":"","title":"Život je krásný, ale poťouchlík","year":2019,"lang":"cs","type":"article","venue":"Vědecká knihovna v Olomouci (Research Library in Olomouc)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Population","score_opus":0.03692023393728246,"score_gpt":0.350804748830384,"score_spread":0.31388451489310154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7016237227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6823356,0.00543447,0.00018899312,0.008301456,0.00041797388,0.0040898803,0.0010635126,0.0012108567,0.29695722],"genre_scores_gemma":[0.81197566,0.0061846385,0.015520331,0.00068272476,0.0011085883,0.0014422927,0.0009728485,0.0006391819,0.16147372],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9878499,0.0007466731,0.0021402466,0.0031879183,0.0020825416,0.003992742],"domain_scores_gemma":[0.99153745,0.002052848,0.0005691637,0.004382409,0.00032609375,0.0011320525],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0017519597,0.001358482,0.0015707796,0.0013603444,0.00066561345,0.00068683084,0.0043272837,0.0018414081,0.032921158],"category_scores_gemma":[0.00045179517,0.0014665632,0.00060085114,0.0038501166,0.0011440122,0.0027534016,0.003387261,0.0060003405,0.010948131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002325539,0.0066414746,0.15113121,0.0044891466,0.0006181744,0.001164,0.0030478863,0.0005560284,0.45925534,0.1603785,0.17046121,0.039931495],"study_design_scores_gemma":[0.0031456517,0.000675683,0.0012419197,0.0011902933,0.000042563817,0.00010185965,0.0013999566,0.0025358642,0.40989685,0.043248862,0.5342446,0.0022758665],"about_ca_topic_score_codex":0.00037593738,"about_ca_topic_score_gemma":0.000048156482,"teacher_disagreement_score":0.36378342,"about_ca_system_score_codex":0.00063421205,"about_ca_system_score_gemma":0.0012183248,"threshold_uncertainty_score":0.9999166},"labels":[],"label_agreement":null},{"id":"W7018006561","doi":"","title":"Comparative analysis of phosphorprotein-enriched myocyte proteomics reveals widespread alterations during differentiation.: FEBS Lett.","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proteomics; Myocyte; Signal transduction; Cell culture","score_opus":0.015063562049799438,"score_gpt":0.27752579407954137,"score_spread":0.26246223202974195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018006561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84191954,0.00002623776,0.15164553,0.00024593252,0.000009266709,0.00047058528,0.00015564488,0.00012787883,0.0053993906],"genre_scores_gemma":[0.8858651,0.000031892512,0.11278425,0.000027462298,0.000036207864,0.0006972409,0.00020810217,0.000017176195,0.00033257468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986429,0.000014737441,0.0005237498,0.0003707566,0.0002110948,0.00023672916],"domain_scores_gemma":[0.9987096,0.000048177542,0.0003959425,0.0005893196,0.00017364313,0.00008331807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006930593,0.00020468216,0.00047561602,0.00015394305,0.00022833169,0.00003886804,0.0002692549,0.00011090883,0.00046457132],"category_scores_gemma":[0.000036637066,0.00021550446,0.00020498432,0.00067139574,0.00009065814,0.00014053438,0.00007934525,0.00022413439,0.000009361749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003343048,0.00013555653,0.0007386771,0.0000399405,0.00032637178,7.333045e-7,0.00031057547,0.003281181,0.96225303,0.032824423,0.000017077076,0.00003902818],"study_design_scores_gemma":[0.000449535,0.0000140918855,0.0015126002,0.000043449105,0.00030198516,0.0000013878087,0.00005343201,0.000688421,0.9693834,0.027276322,0.00005794912,0.00021740068],"about_ca_topic_score_codex":0.000050381615,"about_ca_topic_score_gemma":0.000046875593,"teacher_disagreement_score":0.04394555,"about_ca_system_score_codex":0.00016605093,"about_ca_system_score_gemma":0.000060950246,"threshold_uncertainty_score":0.8788017},"labels":[],"label_agreement":null},{"id":"W7028072894","doi":"","title":"The effects of central I¦1-imidazoline and æ2-adrenergic receptors on body temperature regulation in conscious rats","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Receptor; Ectotherm; Central nervous system; Autonomic nervous system","score_opus":0.0010953670581984527,"score_gpt":0.1464858517571176,"score_spread":0.14539048469891913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028072894","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062001705,0.002504268,0.00001432256,0.0013141384,0.00014550886,0.0006278629,0.00060654734,0.000042595475,0.9327431],"genre_scores_gemma":[0.7680092,0.0072075687,0.0010051898,0.0002709333,0.00014687618,0.00006719943,0.000080196376,0.00015889989,0.22305396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884474,0.000021923164,0.00022644832,0.00023195273,0.0004710648,0.00020389174],"domain_scores_gemma":[0.99924576,0.0002025916,0.00020999396,0.00023975346,2.6964284e-7,0.00010165068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000043514697,0.00020423642,0.00024392213,0.00002116705,0.00008174647,0.000011109809,0.0001527576,0.00008743752,0.00007321434],"category_scores_gemma":[0.0000027117583,0.00016724205,0.000020513886,0.000050344395,0.000110598165,0.00003735582,0.00004570861,0.00020479017,7.413004e-10],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014730692,0.00017403053,0.0054582353,0.002852258,0.00026969294,0.000078479556,0.00010840956,0.00023483501,0.7413227,0.120290704,0.09047423,0.037263356],"study_design_scores_gemma":[0.00038999572,0.000040386403,0.0012855887,0.0008803355,0.000019855097,0.000002857854,0.00008589255,0.00014152161,0.80887675,0.0015974728,0.18639766,0.00028166038],"about_ca_topic_score_codex":0.0011143243,"about_ca_topic_score_gemma":0.01171477,"teacher_disagreement_score":0.7096891,"about_ca_system_score_codex":0.000008051516,"about_ca_system_score_gemma":0.00035559904,"threshold_uncertainty_score":0.68199325},"labels":[],"label_agreement":null},{"id":"W7033949234","doi":"","title":"Solutions for construction practitioners","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"","score_opus":0.020802394322164224,"score_gpt":0.2863166093483532,"score_spread":0.26551421502618894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033949234","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034733552,0.000008202225,0.7408653,0.0004823251,0.000025522924,0.00014242408,0.000040583796,0.00014709974,0.2548152],"genre_scores_gemma":[0.2640493,0.00002330055,0.7340181,0.00005058072,0.000043093012,0.0006007448,0.000033092343,0.000011289278,0.0011704984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964267,0.0000026367118,0.000081449,0.00010910035,0.000035281413,0.00012887674],"domain_scores_gemma":[0.99971175,0.00003088082,0.000048308484,0.00013638062,0.000044014327,0.000028669287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048026322,0.0000455784,0.00004316555,0.00001263088,0.00019178416,0.000009617679,0.00003701519,0.00004628004,0.0006859213],"category_scores_gemma":[0.000055632383,0.000050222057,0.000027443222,0.00004227133,0.000040892588,0.000056940935,0.000006151641,0.000058597787,0.000009278165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001924952,0.000013125856,0.000010078115,0.0000065546637,0.0000027109388,3.945117e-8,0.00000495975,0.000007480712,0.45908427,0.53677493,0.0014563699,0.0026375533],"study_design_scores_gemma":[0.00010050394,0.0000039323086,5.0093365e-7,0.0000032058924,0.0000058198116,0.0000105745985,0.000053693417,0.00006848972,0.43131033,0.30835772,0.26003116,0.00005404864],"about_ca_topic_score_codex":6.676763e-7,"about_ca_topic_score_gemma":5.395282e-7,"teacher_disagreement_score":0.26057595,"about_ca_system_score_codex":0.000036194557,"about_ca_system_score_gemma":0.00002591114,"threshold_uncertainty_score":0.7510357},"labels":[],"label_agreement":null},{"id":"W7034204906","doi":"","title":"Statistical Inference for Structured Spatial and Temporal Point Data","year":2022,"lang":"en","type":"dissertation","venue":"OakTrust (Texas A&M University Libraries)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inference; Point process; Spatial analysis; Range (aeronautics); Statistical inference; Focus (optics); Regularization (linguistics); Graph; Data point; Density estimation","score_opus":0.017932209284815807,"score_gpt":0.27001167964824063,"score_spread":0.2520794703634248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034204906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12601146,0.00083810376,0.55928016,0.0013713466,0.0009804651,0.004938438,0.16372406,0.0019160333,0.14093995],"genre_scores_gemma":[0.3370205,0.00045003337,0.32571697,0.00012719155,0.00041114067,0.00005128157,0.2749602,0.0002224768,0.061040226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984551,0.000019813842,0.0002358242,0.00080586027,0.00020436979,0.00027903385],"domain_scores_gemma":[0.99839336,0.00021199734,0.00028692748,0.00090041914,0.000057402456,0.00014992587],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000057412297,0.00031886337,0.0003594822,0.00009259064,0.0005063744,0.000121165234,0.001013768,0.0003315668,0.0055117523],"category_scores_gemma":[0.000090398134,0.00039196695,0.00005447079,0.00012294191,0.00013234506,0.000480361,0.0006821393,0.0005842482,0.0000041182093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032476797,0.0002594676,0.005957769,0.0019252652,0.00038336572,0.00008473914,0.0008511665,0.000018952038,0.0023600198,0.90797937,0.026838727,0.050093487],"study_design_scores_gemma":[0.0013924905,0.000102457365,0.0010188385,0.000081088736,0.00032523889,0.0000061366045,0.0027148414,0.0021107013,0.005394874,0.05356522,0.9321572,0.0011309099],"about_ca_topic_score_codex":0.00040839845,"about_ca_topic_score_gemma":0.00037332004,"teacher_disagreement_score":0.9053185,"about_ca_system_score_codex":0.00009839643,"about_ca_system_score_gemma":0.00038202963,"threshold_uncertainty_score":0.9998532},"labels":[],"label_agreement":null},{"id":"W7034547629","doi":"","title":"Ãtude de la stabilité thermique des protéines de lactosérum et de leur comportement en solution, en présence de divers dextrans","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Viscosity; Agrégation; Dextran; Limiting","score_opus":0.0034154706395833657,"score_gpt":0.18940696721657768,"score_spread":0.18599149657699432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034547629","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20389882,0.0009618905,0.047434464,0.0066062794,0.000036725836,0.0013609581,0.0020423909,0.00010258427,0.73755586],"genre_scores_gemma":[0.82604396,0.0039470578,0.093251795,0.0012076776,0.00014991897,0.00035319454,0.00005463707,0.00017998788,0.074811794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975013,0.00031309613,0.00041137857,0.00044010978,0.0006364029,0.0006977224],"domain_scores_gemma":[0.99838656,0.00054643926,0.0002687328,0.00036065382,0.000001280536,0.00043635524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000068560774,0.0004321598,0.0003680049,0.000023557002,0.00026344723,0.000043468302,0.00053491327,0.00019250347,0.0006540135],"category_scores_gemma":[0.000009617639,0.00046980826,0.00007480781,0.000065825196,0.00038016538,0.00018005018,0.0001550702,0.0005250541,1.0026399e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004950512,0.00033802388,0.23816946,0.0021767183,0.0003709001,0.00018584577,0.001763573,0.0016993008,0.6353956,0.10468438,0.0018399509,0.01288119],"study_design_scores_gemma":[0.00067862467,0.00009221728,0.04571731,0.0013155064,0.00014044222,0.0000896331,0.0016974378,0.0029580146,0.5830623,0.019418124,0.3438234,0.0010069964],"about_ca_topic_score_codex":0.021268276,"about_ca_topic_score_gemma":0.050339848,"teacher_disagreement_score":0.6627441,"about_ca_system_score_codex":0.00022845941,"about_ca_system_score_gemma":0.0058299424,"threshold_uncertainty_score":0.9998061},"labels":[],"label_agreement":null},{"id":"W7037710716","doi":"","title":"Exploitation d'indices visuels liés au mouvement pour l'interprétation du contenu des séquences vidéos","year":2008,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Anachronism; Exoticism; Subject (documents)","score_opus":0.015045379360638999,"score_gpt":0.24036206399148818,"score_spread":0.2253166846308492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037710716","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24721622,0.006463028,0.42188042,0.0004040496,0.0003355845,0.0010406194,0.00014167621,0.000114326576,0.3224041],"genre_scores_gemma":[0.80878705,0.004298375,0.06005984,0.000018499513,0.00022847744,0.000013753345,0.000064535176,0.00006166684,0.12646782],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998337,0.00007766638,0.0004772547,0.00046939723,0.00035403387,0.00028466855],"domain_scores_gemma":[0.9983913,0.000109318236,0.00057033624,0.00042770978,0.0003848139,0.00011655726],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011348221,0.00039797873,0.00048438998,0.00016560814,0.00091123045,0.000016999176,0.000993533,0.0003856591,0.0012976519],"category_scores_gemma":[0.00007195147,0.00040167008,0.0004115821,0.00025135063,0.001981306,0.0002797998,0.00029781228,0.0003000576,0.00014273816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004968218,0.0026588396,0.019607242,0.015577619,0.0013195397,0.000034331486,0.03420783,0.020198883,0.79094154,0.07819103,0.010368959,0.026397383],"study_design_scores_gemma":[0.0017497939,0.00018148866,0.008273377,0.019840742,0.00064325915,0.00007724097,0.0023115028,0.011143081,0.789243,0.004716241,0.16089012,0.0009301859],"about_ca_topic_score_codex":0.0038496505,"about_ca_topic_score_gemma":0.011150639,"teacher_disagreement_score":0.5615708,"about_ca_system_score_codex":0.0025420466,"about_ca_system_score_gemma":0.0005172691,"threshold_uncertainty_score":0.99984354},"labels":[],"label_agreement":null},{"id":"W7038238158","doi":"","title":"A Historical Analysis on the Implementation of the Brandon University Northern Teacher Education Program (BUNTEP) in 1975","year":2024,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Professionalization; Indigenous; Teacher education; Politics; Autonomy; Formative assessment; Agency (philosophy); Identity (music)","score_opus":0.005098750586310976,"score_gpt":0.23515103727326192,"score_spread":0.23005228668695094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038238158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9504117,0.000048289647,0.000092837545,0.017992316,0.00009909475,0.0014352453,0.00011066993,0.00030477476,0.029505095],"genre_scores_gemma":[0.6016466,0.00023061279,0.0009924447,0.000033035343,0.00006373237,0.000033497094,0.00095771917,0.000056586206,0.3959858],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989059,0.000073903895,0.00019565402,0.00042674714,0.00022209478,0.00017572961],"domain_scores_gemma":[0.99890774,0.000059609356,0.0003616683,0.0005625446,0.00005687105,0.00005155873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000430341,0.00023792755,0.0002883491,0.00036131602,0.00017668802,0.00003025251,0.0005785491,0.00024927343,0.00037114442],"category_scores_gemma":[0.000007433027,0.00019843943,0.00037712036,0.001522146,0.000045402176,0.00021812372,0.00010548723,0.00062226853,0.0000051622205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002666518,0.0059327777,0.5025632,0.0028339906,0.0037826293,0.00007186101,0.017715605,0.0005580194,0.0019423219,0.09659387,0.27362823,0.09171098],"study_design_scores_gemma":[0.0007556468,0.000099552315,0.03105177,0.00050458376,0.0022229955,1.9093586e-7,0.03052063,0.000045803463,0.029406441,0.001826036,0.9026638,0.0009024955],"about_ca_topic_score_codex":0.011528852,"about_ca_topic_score_gemma":0.004293064,"teacher_disagreement_score":0.6290356,"about_ca_system_score_codex":0.0007321728,"about_ca_system_score_gemma":0.00044189362,"threshold_uncertainty_score":0.99505347},"labels":[],"label_agreement":null},{"id":"W7066675494","doi":"","title":"1.ISRS2009Edmontonから、18F-標識法の総括　2.高比放射能[11C]CH3I: 製造、標識及び応用-放医研の取り組みについて","year":2014,"lang":"ja","type":"other","venue":"QST-Repository (National Institutes for Quantum and Radiological Science and Technology)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.014458466087418355,"score_gpt":0.275414680188476,"score_spread":0.2609562141010576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066675494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4921737,0.027495394,0.060246203,0.015558368,0.0031439755,0.009188802,0.0017054391,0.004921467,0.38556665],"genre_scores_gemma":[0.91319156,0.004037918,0.04249441,0.00074387796,0.0016130321,0.0020726772,0.00020471767,0.00017948914,0.035462312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995372,0.000028671237,0.00087769446,0.0020051626,0.0007252918,0.0009911816],"domain_scores_gemma":[0.9971205,0.00030824498,0.0006947351,0.0006842213,0.0008087345,0.00038355618],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0008384805,0.0008115246,0.0009362068,0.0006318551,0.0022945865,0.00027396614,0.0013720719,0.0015928728,0.00013717328],"category_scores_gemma":[0.00088547944,0.00065874937,0.00017229619,0.00093448313,0.008196561,0.00035042697,0.0005280398,0.00092447974,0.00003240567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000756635,0.0003324937,0.0013262101,0.0002875237,0.00012543294,0.000027728567,0.000036425732,0.000025589776,0.13855742,0.84066725,0.011184184,0.0073541095],"study_design_scores_gemma":[0.001296217,0.00064887374,0.00029479575,0.00040455008,0.00017431194,0.0007558857,0.00016238236,0.006495123,0.04465731,0.113708325,0.82976127,0.0016409354],"about_ca_topic_score_codex":0.000036037694,"about_ca_topic_score_gemma":0.000007868048,"teacher_disagreement_score":0.8185771,"about_ca_system_score_codex":0.00035829746,"about_ca_system_score_gemma":0.000581191,"threshold_uncertainty_score":0.9997033},"labels":[],"label_agreement":null},{"id":"W7067516407","doi":"","title":"Les participants découvrent la région","year":2020,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Identification (biology); Qualitative research","score_opus":0.0323800477626944,"score_gpt":0.2719808462632586,"score_spread":0.23960079850056418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067516407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7719502,0.037241116,0.03537233,0.03853184,0.0007942928,0.0024245265,0.010557208,0.0008230763,0.102305435],"genre_scores_gemma":[0.9575973,0.01565312,0.007664011,0.00011374311,0.00031032594,0.000005307862,0.00063971255,0.000050497307,0.017965995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976805,0.00011439638,0.00048629259,0.0009775353,0.0002966548,0.00044464937],"domain_scores_gemma":[0.997431,0.00019784944,0.0005987214,0.0011597018,0.00012681916,0.00048594226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015379605,0.00035545503,0.0005079952,0.000041328887,0.00053802144,0.000069196314,0.0009103973,0.00032072494,0.00027037266],"category_scores_gemma":[0.000072744726,0.00043759198,0.000112247595,0.00014080954,0.0006613216,0.0005855203,0.0010863716,0.00038672995,0.00001833315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025135542,0.0032383215,0.050890822,0.0046263724,0.0032006837,0.003824293,0.0027131122,0.0004994253,0.10418548,0.02958584,0.45537207,0.33935004],"study_design_scores_gemma":[0.0016591436,0.00013245779,0.0012334719,0.00039181716,0.0007935093,0.0000817867,0.0008352667,0.001991166,0.012665461,0.00056277815,0.979068,0.00058513274],"about_ca_topic_score_codex":0.009130653,"about_ca_topic_score_gemma":0.0012354944,"teacher_disagreement_score":0.52369595,"about_ca_system_score_codex":0.00022805342,"about_ca_system_score_gemma":0.00011225247,"threshold_uncertainty_score":0.9998076},"labels":[],"label_agreement":null},{"id":"W7068596251","doi":"","title":"The Tech Guy 135","year":2005,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Laptop; Installation; The Internet; Service (business); White (mutation); Work (physics); Malware","score_opus":0.009059384681984731,"score_gpt":0.25992568189553267,"score_spread":0.2508662972135479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7068596251","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005317998,0.000772965,0.058877084,0.00035707047,0.0001662192,0.00061337394,0.0009320602,0.0010468437,0.9371812],"genre_scores_gemma":[0.0014504392,0.001327448,0.027910499,0.00021555989,0.001460953,0.0008455808,0.0006331715,0.00090770784,0.96524864],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99691623,0.00006252437,0.00071476336,0.0010851719,0.0003872502,0.00083407667],"domain_scores_gemma":[0.9970876,0.0003910096,0.00064196845,0.001599667,0.000032432254,0.00024733332],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012540427,0.0008301761,0.0005799047,0.00022629414,0.00010200769,0.0001848219,0.0025115462,0.00031226565,0.020911809],"category_scores_gemma":[0.00006192304,0.00065107696,0.00048076492,0.00009044817,0.0007128885,0.00004911511,0.0011535336,0.0014972758,0.002218424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007255884,0.00008690685,0.000044465654,0.00008036368,0.00022844042,0.000019701327,0.00022027908,0.0000022603563,0.0029883918,0.020934653,0.9688873,0.006434673],"study_design_scores_gemma":[0.00031230153,0.000047197223,0.000005790786,0.00072358095,0.000054743574,0.000058079175,0.000032695785,0.00061115436,0.011463082,0.00945744,0.97653043,0.00070349587],"about_ca_topic_score_codex":0.0031652309,"about_ca_topic_score_gemma":0.008686988,"teacher_disagreement_score":0.030966586,"about_ca_system_score_codex":0.000092659844,"about_ca_system_score_gemma":0.00007281467,"threshold_uncertainty_score":0.99959403},"labels":[],"label_agreement":null},{"id":"W7083833896","doi":"10.5281/zenodo.17230152","title":"Making the Global Open Research Commons Truly Global: A report from the Lorentz Workshop, July 21-25 2025","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Respiratory Research Network; Toronto Dementia Research Alliance","funders":"","keywords":"Variety (cybernetics); Variety (cybernetics); Interoperability; Interoperability; Realm; Realm; Global commons; Global commons; Commons; Commons; Implementation","score_opus":0.15318451046245532,"score_gpt":0.40549414163857533,"score_spread":0.25230963117612004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083833896","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002039962,0.0011477385,0.006597457,0.0073444173,0.00017948974,0.0020209255,0.0061221276,0.0010013629,0.9753825],"genre_scores_gemma":[0.32772046,0.01997511,0.024367942,0.0033945744,0.010983657,0.00009771663,0.15807201,0.01575625,0.4396323],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945601,0.0005658081,0.0009448986,0.0013494915,0.0017103566,0.00086931884],"domain_scores_gemma":[0.99268043,0.00032335956,0.0006553676,0.0036005862,0.0025453118,0.00019494448],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0034794623,0.00046021224,0.0005017226,0.00008592057,0.0066380315,0.0036247738,0.009008895,0.0004566018,0.0072533237],"category_scores_gemma":[0.0040936912,0.00035647143,0.00022685413,0.0018595052,0.00070612226,0.00020804959,0.014104255,0.0023314347,0.001431129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007921511,0.00012950755,0.000031472744,0.00009822364,0.00019312039,0.00007706321,0.00011151117,0.0000146631455,0.00007809796,0.0077421623,0.9297276,0.06171733],"study_design_scores_gemma":[0.0002617169,0.000022421667,0.00014852967,0.0006096796,0.000089496956,0.00031273134,0.0003535744,0.000043785232,0.00009588407,0.012606419,0.9851164,0.00033936123],"about_ca_topic_score_codex":0.0009869748,"about_ca_topic_score_gemma":0.000037446753,"teacher_disagreement_score":0.5357502,"about_ca_system_score_codex":0.002287915,"about_ca_system_score_gemma":0.00021984163,"threshold_uncertainty_score":0.9999702},"labels":[],"label_agreement":null},{"id":"W7087744837","doi":"10.7202/1118972ar","title":"Éditer la plateforme <i>Anthologia Graeca</i> : vecteur de changements dans la pratique des <i>classics</i>","year":2024,"lang":"fr","type":"article","venue":"Sens public","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Vulnerability (computing); Collaborative network","score_opus":0.016732088348284515,"score_gpt":0.2810607037141035,"score_spread":0.26432861536581903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7087744837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3681141,0.008534427,0.24565631,0.03746528,0.0008307629,0.0014000993,0.0020966344,0.0032163863,0.332686],"genre_scores_gemma":[0.834036,0.0052923867,0.076181725,0.0011929834,0.0013766873,0.0010553253,0.000524133,0.0003114856,0.080029294],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780196,0.00013765595,0.0003913766,0.00062864396,0.00019595251,0.000844392],"domain_scores_gemma":[0.99869734,0.00024420492,0.000117095435,0.00058923796,0.000107795604,0.0002443445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005350939,0.000401951,0.00026104256,0.00011020717,0.00027513193,0.0006063962,0.0004068515,0.0006518157,0.00031753496],"category_scores_gemma":[0.000096482276,0.00040852797,0.00016421956,0.0005309419,0.00064590725,0.000509225,0.000264308,0.0009913805,0.00017973618],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022069857,0.0006420475,0.0019052511,0.0019494233,0.00034142617,0.0009298567,0.0049174856,0.00002946087,0.4687694,0.37390354,0.065177225,0.0814128],"study_design_scores_gemma":[0.0001880842,0.000040663766,0.000090469446,0.00035181848,0.00007085638,0.00073550164,0.0003754109,0.0012152693,0.16369079,0.036728982,0.79605883,0.00045333742],"about_ca_topic_score_codex":0.000063597945,"about_ca_topic_score_gemma":0.0000843087,"teacher_disagreement_score":0.7308816,"about_ca_system_score_codex":0.0005893586,"about_ca_system_score_gemma":0.0003876891,"threshold_uncertainty_score":0.9998367},"labels":[],"label_agreement":null},{"id":"W7092581997","doi":"10.5281/zenodo.17395464","title":"mariacastillo982/cpp-mechanisms: CPP Mechanisms Knowledge Base v1.0","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"JSON; RDF; Knowledge base; Base (topology)","score_opus":0.026443021625897015,"score_gpt":0.3235770795554704,"score_spread":0.29713405792957337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092581997","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018122642,0.000523734,0.34853485,0.00028050347,0.00043745563,0.0029045432,0.0020953794,0.00003623171,0.6451692],"genre_scores_gemma":[0.00053879997,0.000544275,0.40959617,0.000107482345,0.00036246717,0.001223573,0.0005083396,0.00040635245,0.58671254],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938689,0.00010936636,0.0014048524,0.0028635932,0.00043250973,0.0013207766],"domain_scores_gemma":[0.99449515,0.00021764968,0.0011605234,0.0032221344,0.00033054958,0.0005739615],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006529467,0.0015735317,0.0015788885,0.00032412188,0.0006494346,0.0007222648,0.0042431797,0.002181203,0.27434105],"category_scores_gemma":[0.00012940308,0.0017750901,0.00051244133,0.0007022987,0.0002145932,0.00024943805,0.003847065,0.001650256,0.010558166],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002896297,0.0020151653,0.0000025604127,0.0007905543,0.0008160303,0.00013085148,0.0003476745,0.000013123662,0.23695017,0.08979985,0.054431003,0.6144134],"study_design_scores_gemma":[0.0007905167,0.00006342664,1.6652484e-7,0.0012010633,0.00031652694,0.000016687214,0.00018060091,0.00033694613,0.35560662,0.050814386,0.58949065,0.0011824019],"about_ca_topic_score_codex":0.00016808453,"about_ca_topic_score_gemma":0.00017529447,"teacher_disagreement_score":0.613231,"about_ca_system_score_codex":0.00060565356,"about_ca_system_score_gemma":0.0016984867,"threshold_uncertainty_score":0.99970126},"labels":[],"label_agreement":null},{"id":"W7095660673","doi":"","title":"Submitted to:","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stage (stratigraphy); Window (computing); Period (music); Transit (satellite)","score_opus":0.009448769841912374,"score_gpt":0.2840709296407758,"score_spread":0.2746221597988634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095660673","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1725382,0.000008074443,0.20232633,0.0038227497,0.0000039068404,0.0000818517,0.0000036307258,0.00060753577,0.62060773],"genre_scores_gemma":[0.832821,0.000003252806,0.15763924,0.0011474768,0.000030193734,0.000022722783,0.00000388562,0.000003485279,0.008328755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976444,3.298662e-7,0.000050770166,0.000082675004,0.000029035902,0.000072718045],"domain_scores_gemma":[0.99977416,0.0000037378834,0.0000090125,0.00016043898,0.000012112422,0.00004054729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000009340001,0.00003411839,0.000032003594,0.000007764002,0.000024626415,0.0000062188055,0.00007519057,0.00002274223,0.00068044744],"category_scores_gemma":[0.000005336516,0.00003129498,0.000013897735,0.000051875948,0.0000030279652,0.000015258196,0.00000847373,0.000036670906,0.00007632234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003048841,0.000024886875,0.00007660242,0.0000011459197,8.54596e-7,4.5135855e-7,0.000009922721,0.000005369743,0.8855271,0.06217226,0.0051204767,0.047057934],"study_design_scores_gemma":[0.000034690405,0.0000064808423,0.00010972146,0.000002350205,8.234297e-7,0.0000012275896,0.000005282007,0.00003853017,0.8791698,0.023634858,0.09693163,0.00006461449],"about_ca_topic_score_codex":0.000002498901,"about_ca_topic_score_gemma":4.7529687e-7,"teacher_disagreement_score":0.6602828,"about_ca_system_score_codex":0.00001048782,"about_ca_system_score_gemma":0.0000029563448,"threshold_uncertainty_score":0.74504226},"labels":[],"label_agreement":null},{"id":"W7096869147","doi":"","title":"Development and Evaluation of Methods for Predicting Protein Levels and Peptide Peak Intensities from Tandem Mass Spectrometry Data. Submitted for publication. Available at www.cs.toronto.edu/�bonner/papers.html","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tandem mass spectrometry; Tandem mass tag; Tandem; Measure (data warehouse); Rank (graph theory); Mass spectrometry; Rank correlation; Correlation","score_opus":0.14381583191768765,"score_gpt":0.3625888197814247,"score_spread":0.21877298786373706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096869147","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33786994,0.0008702923,0.63852304,0.00015623128,0.000022992896,0.0027161024,0.00063585193,0.00022464592,0.018980913],"genre_scores_gemma":[0.07401335,0.00002335727,0.91909504,0.000030749077,0.000055113607,0.0018912135,0.00066256465,0.000034893645,0.0041937213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845356,0.000029292512,0.00051089603,0.0005928203,0.00016973147,0.00024367445],"domain_scores_gemma":[0.9981679,0.00021900074,0.0003538657,0.00059512205,0.00058043987,0.00008371182],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014219681,0.0001997475,0.00027605917,0.000043997603,0.00023463207,0.000040739884,0.00025468628,0.00014795116,0.0011381214],"category_scores_gemma":[0.0005199594,0.00019045164,0.00003375524,0.000069724476,0.0000791082,0.0003640699,0.00023357318,0.00008591412,0.0000013656039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074285694,0.000051495903,0.0010816648,0.00014865339,0.00012739863,3.1955423e-8,0.00054788636,3.1326203e-7,0.9799836,0.0025558,0.00081501,0.014613808],"study_design_scores_gemma":[0.00084367493,0.0000331605,0.0005644306,0.00006394461,0.00012834469,0.0000026240984,0.0011428448,0.01507896,0.9634207,0.0054631643,0.012986667,0.0002714768],"about_ca_topic_score_codex":0.00019132816,"about_ca_topic_score_gemma":0.00015825943,"teacher_disagreement_score":0.280572,"about_ca_system_score_codex":0.00025571752,"about_ca_system_score_gemma":0.00012268413,"threshold_uncertainty_score":0.999775},"labels":[],"label_agreement":null},{"id":"W7096987493","doi":"","title":"BIOEVE BIOEVE Protein-Protein Relation Extraction from Biomedical Abstracts","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relation (database); Permission; Authorization; Section (typography)","score_opus":0.011843083398364403,"score_gpt":0.2766261263430981,"score_spread":0.26478304294473365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096987493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5996891,0.000016787346,0.36859637,0.0010744287,0.000027829075,0.00039873915,0.000042033662,0.0006343558,0.029520331],"genre_scores_gemma":[0.80755365,0.00000489984,0.18891099,0.000053579926,0.00027276686,0.0003433301,0.00024642562,0.00002949042,0.0025848353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868476,0.000014087723,0.00040716794,0.00042360215,0.0002350759,0.00023528177],"domain_scores_gemma":[0.9990225,0.000058407302,0.00023028128,0.0004896658,0.000059165213,0.0001400256],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014849052,0.00018321765,0.00015263945,0.00005374332,0.00014176471,0.000042617386,0.00019415839,0.00031817498,0.0015423408],"category_scores_gemma":[0.0001094746,0.00017084344,0.0000692027,0.00013139425,0.00008676884,0.00019337227,0.000050577288,0.0003488007,0.00029369016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016355332,0.000088649125,0.00003802624,0.00001450012,0.0000088856095,8.530149e-7,0.000013833417,0.0000053170943,0.9762647,0.0087865405,0.0002039934,0.014558351],"study_design_scores_gemma":[0.00025291808,0.000024799267,0.0002133675,0.00006139484,0.000009149116,0.0000025808738,0.000025240483,0.00096789224,0.8926613,0.049980123,0.055572603,0.00022863453],"about_ca_topic_score_codex":0.000353227,"about_ca_topic_score_gemma":0.000014090661,"teacher_disagreement_score":0.20786455,"about_ca_system_score_codex":0.00008559294,"about_ca_system_score_gemma":0.000028133572,"threshold_uncertainty_score":0.9993704},"labels":[],"label_agreement":null},{"id":"W7099559383","doi":"","title":"CHAMSEDDINE TALHI Memory-Constrained Security Enforcement","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Government (linguistics); Work (physics); Law enforcement","score_opus":0.013391698514160527,"score_gpt":0.25864628879754814,"score_spread":0.2452545902833876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099559383","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21874145,0.00003276733,0.04132832,0.00035385706,0.000014366607,0.0002069965,0.000034735043,0.00063618785,0.73865134],"genre_scores_gemma":[0.96338123,0.000075969176,0.02668474,0.00016466461,0.00008003872,0.00016387951,0.000045182016,0.000013926163,0.009390387],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993368,0.000001815589,0.00017768965,0.00019945727,0.000103556034,0.00018072952],"domain_scores_gemma":[0.9994966,0.000014801792,0.000054155986,0.00032404516,0.000034441357,0.00007597307],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000032745942,0.000113640635,0.00010956038,0.000017609844,0.00014083968,0.0000059610597,0.00014313617,0.00006755462,0.006936934],"category_scores_gemma":[0.000009134012,0.00010598364,0.00005762831,0.0000652634,0.00008779975,0.000053107506,0.000055425244,0.00012348313,0.000052033916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051292984,0.00045549404,0.0007791056,0.00011503865,0.0000724596,0.00004386362,0.00094847294,0.00011325695,0.7129597,0.26104292,0.012840661,0.01057775],"study_design_scores_gemma":[0.00033931003,0.000012763328,0.0000045604943,0.000007805292,0.00000473656,0.000056890432,0.00009984441,0.001080153,0.9356523,0.009393392,0.05314499,0.00020325591],"about_ca_topic_score_codex":0.000048367507,"about_ca_topic_score_gemma":0.0000031558166,"teacher_disagreement_score":0.74463975,"about_ca_system_score_codex":0.00004032596,"about_ca_system_score_gemma":0.000026414193,"threshold_uncertainty_score":0.9939709},"labels":[],"label_agreement":null},{"id":"W7107949114","doi":"10.6084/m9.figshare.30741032.v1","title":"Additional file 8 of Comparative evaluation of analytical methods for CSF proteomics","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Proteomics; Proteogenomics; Key (lock); Feature (linguistics)","score_opus":0.1369443497001114,"score_gpt":0.471226607848234,"score_spread":0.3342822581481226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7107949114","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000050030103,0.00009980356,0.009446173,0.000042792453,0.0000059937142,0.0019030991,0.96591824,0.000022799877,0.022556106],"genre_scores_gemma":[0.00022665675,0.000001029538,0.3764479,0.0000119073175,0.000034798075,0.018377507,0.6037804,0.000009910984,0.0011099143],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984154,0.00008300878,0.0006872929,0.0003791364,0.00024408984,0.00019103335],"domain_scores_gemma":[0.9914762,0.004899746,0.0006902486,0.00045911458,0.0024226692,0.000052053365],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017181998,0.00020601139,0.00046356238,0.00008556285,0.000100339756,0.00001562232,0.00032335607,0.00027163656,0.9895771],"category_scores_gemma":[0.00855496,0.00023456586,0.0002687842,0.00037843164,0.000052139047,0.000084476014,0.00014879215,0.00022293937,0.00004620177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004622189,0.00016286991,1.0209524e-7,0.00077611854,0.00011017251,2.336296e-8,0.000027077802,0.00018870489,0.0015619774,0.00082896935,0.9874434,0.008854353],"study_design_scores_gemma":[0.0002895763,0.00003433979,0.000009798662,0.004097531,0.00011305386,4.0960487e-7,0.000052447605,0.19643389,0.20448469,0.011280533,0.5830607,0.00014308811],"about_ca_topic_score_codex":7.284359e-7,"about_ca_topic_score_gemma":7.686137e-7,"teacher_disagreement_score":0.9895309,"about_ca_system_score_codex":0.00016447545,"about_ca_system_score_gemma":0.00091008336,"threshold_uncertainty_score":0.9997964},"labels":[],"label_agreement":null},{"id":"W7107961258","doi":"10.6084/m9.figshare.30741032","title":"Additional file 8 of Comparative evaluation of analytical methods for CSF proteomics","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Proteomics; Proteogenomics; Key (lock); Feature (linguistics)","score_opus":0.1369443497001114,"score_gpt":0.471226607848234,"score_spread":0.3342822581481226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7107961258","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000050030103,0.00009980356,0.009446173,0.000042792453,0.0000059937142,0.0019030991,0.96591824,0.000022799877,0.022556106],"genre_scores_gemma":[0.00022665675,0.000001029538,0.3764479,0.0000119073175,0.000034798075,0.018377507,0.6037804,0.000009910984,0.0011099143],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984154,0.00008300878,0.0006872929,0.0003791364,0.00024408984,0.00019103335],"domain_scores_gemma":[0.9914762,0.004899746,0.0006902486,0.00045911458,0.0024226692,0.000052053365],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017181998,0.00020601139,0.00046356238,0.00008556285,0.000100339756,0.00001562232,0.00032335607,0.00027163656,0.9895771],"category_scores_gemma":[0.00855496,0.00023456586,0.0002687842,0.00037843164,0.000052139047,0.000084476014,0.00014879215,0.00022293937,0.00004620177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004622189,0.00016286991,1.0209524e-7,0.00077611854,0.00011017251,2.336296e-8,0.000027077802,0.00018870489,0.0015619774,0.00082896935,0.9874434,0.008854353],"study_design_scores_gemma":[0.0002895763,0.00003433979,0.000009798662,0.004097531,0.00011305386,4.0960487e-7,0.000052447605,0.19643389,0.20448469,0.011280533,0.5830607,0.00014308811],"about_ca_topic_score_codex":7.284359e-7,"about_ca_topic_score_gemma":7.686137e-7,"teacher_disagreement_score":0.9895309,"about_ca_system_score_codex":0.00016447545,"about_ca_system_score_gemma":0.00091008336,"threshold_uncertainty_score":0.9997964},"labels":[],"label_agreement":null},{"id":"W7112306262","doi":"","title":"It’s Easy: Ultra-High Resolution Separations for the Complete Analysis of the Yeast Proteome","year":2015,"lang":"en","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proteome; Yeast; Resolution (logic); Human proteome project; Saccharomyces cerevisiae","score_opus":0.2351928569134583,"score_gpt":0.38324362937002776,"score_spread":0.14805077245656947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112306262","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045403834,0.0007877426,0.2589378,0.03930238,0.00029107384,0.010465754,0.036546003,0.00064320123,0.6076222],"genre_scores_gemma":[0.9882613,0.00003530118,0.0017758856,0.00022076187,0.00021958267,0.0022609327,0.0004674223,0.00003941127,0.0067193904],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928895,0.000056271998,0.00052845036,0.00048493687,0.0055681784,0.00047265497],"domain_scores_gemma":[0.98326564,0.0010122933,0.00027103102,0.0008083792,0.014460755,0.00018188138],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0035251502,0.0002049963,0.00028018747,0.00014191723,0.00070298114,0.0002967778,0.0010293202,0.00013575642,0.00010487776],"category_scores_gemma":[0.01032008,0.00014848584,0.00029402878,0.0017792884,0.0005704397,0.0004106467,0.00019296125,0.00045342598,0.00002987491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063369796,0.0012685787,0.0006604281,0.00021121919,0.002441223,0.0000022234751,0.0015345471,0.04617349,0.07742703,0.4220567,0.4443226,0.0032682694],"study_design_scores_gemma":[0.000790802,0.00007456095,0.0004168258,0.000058872007,0.00018610318,0.0000053478047,0.0004138762,0.030717462,0.012299294,0.088030174,0.86667424,0.00033246],"about_ca_topic_score_codex":0.00015785127,"about_ca_topic_score_gemma":0.00032971796,"teacher_disagreement_score":0.9428575,"about_ca_system_score_codex":0.0025442133,"about_ca_system_score_gemma":0.0039690873,"threshold_uncertainty_score":0.9980164},"labels":[],"label_agreement":null},{"id":"W7112759295","doi":"","title":"Top-Down, High-Throughput Proteomics of Allergens Using Complementary MS/MS Fragmentation Strategies","year":2015,"lang":"en","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proteome; Proteomics; Fragmentation (computing); Human proteins; Shotgun proteomics","score_opus":0.23791425764991517,"score_gpt":0.40071066012272216,"score_spread":0.162796402472807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112759295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74248403,0.00033742606,0.056775693,0.0013164631,0.00013651697,0.0021310456,0.0036072393,0.0003762649,0.1928353],"genre_scores_gemma":[0.95245063,0.00009914522,0.044487182,0.000104338535,0.00038895285,0.00044645875,0.0009947374,0.00007833085,0.00095019594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9912741,0.000050385697,0.0007642454,0.00067257514,0.0065851435,0.00065350794],"domain_scores_gemma":[0.9869991,0.00030219456,0.0003299352,0.0005317011,0.01152943,0.0003076673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002344061,0.00031478168,0.00034646993,0.0001473389,0.00034076106,0.0004049437,0.00067096634,0.00018083838,0.00053235603],"category_scores_gemma":[0.0018457068,0.00034038172,0.00012126869,0.0005967013,0.0004370299,0.0013805266,0.00038763377,0.00054797606,0.000049086546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0008976982,0.0026090413,0.0019580508,0.0008053062,0.0008053182,0.000042399388,0.002770855,0.018220017,0.4012698,0.41737324,0.14622812,0.0070201503],"study_design_scores_gemma":[0.0032525195,0.0003686328,0.00021230605,0.00028434707,0.000049008115,0.000038793398,0.0053359387,0.00937719,0.17071682,0.57008266,0.23909748,0.0011843165],"about_ca_topic_score_codex":0.0009389127,"about_ca_topic_score_gemma":0.00017629314,"teacher_disagreement_score":0.23055297,"about_ca_system_score_codex":0.004629834,"about_ca_system_score_gemma":0.007159088,"threshold_uncertainty_score":0.9999048},"labels":[],"label_agreement":null},{"id":"W7115040063","doi":"","title":"Automating variant peptide target selection to streamline proteogenomic assay development with Mass Spectrometry","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Jewish General Hospital; Fondation De Famille Alvin Segal; Genome Canada; Warren Y. Soper Charitable Trust; McGill University","keywords":"Proteogenomics; Selection (genetic algorithm); Peptide; Peptide mapping; Mass spectrometry; Proteomics","score_opus":0.008665982430103542,"score_gpt":0.24129897459956914,"score_spread":0.2326329921694656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115040063","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8691545,0.000074406336,0.00209214,0.000034546454,0.00016220649,0.0026629663,0.0013025668,0.0017786461,0.12273801],"genre_scores_gemma":[0.25988436,0.00003179387,0.70736235,0.00009138457,0.00008362649,0.0031633563,0.0029763782,0.00028465348,0.026122117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99566334,0.00007412948,0.0011432656,0.0015794645,0.00065836066,0.00088140654],"domain_scores_gemma":[0.9973954,0.00012341845,0.0008415632,0.00082925486,0.00046619098,0.00034415314],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006080605,0.0009942859,0.00081575545,0.00052548863,0.0013884733,0.00013108361,0.0007748351,0.00078002096,0.0005717914],"category_scores_gemma":[0.00031101643,0.0010455516,0.00019328775,0.0010809555,0.00002038106,0.00029992263,0.00014304326,0.0018516526,0.000102873535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002641494,0.00023718776,0.000060536808,0.00096848066,0.00036040586,0.00003276524,0.00001046698,0.00044809125,0.9301091,0.013529086,0.0000068019785,0.053972974],"study_design_scores_gemma":[0.00049039786,0.00008725812,0.00013145541,0.0011235924,0.00014011947,0.00003265081,0.00010331665,0.00014058413,0.96223676,0.007438019,0.026817922,0.0012579361],"about_ca_topic_score_codex":0.00010210959,"about_ca_topic_score_gemma":0.00043665315,"teacher_disagreement_score":0.7052702,"about_ca_system_score_codex":0.0024690877,"about_ca_system_score_gemma":0.00034090347,"threshold_uncertainty_score":0.9999116},"labels":[],"label_agreement":null},{"id":"W7115407286","doi":"","title":"Mass spectrometry for structural analysis and quantification of the Major Urinary Proteins of the house mouse","year":2015,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Mass spectrometry; House mice; Lipocalin; Quantitative analysis (chemistry); Urine; Urinary system; Proteomics","score_opus":0.0728316108601564,"score_gpt":0.31075241339473736,"score_spread":0.23792080253458098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115407286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98203427,0.000048094986,0.016486589,0.0007610393,0.0000040339733,0.0005487125,0.00005538361,0.000016637301,0.00004525129],"genre_scores_gemma":[0.98810947,0.000039625415,0.011657044,0.0000023238717,0.0000120317745,0.0000105522795,0.0000045108477,0.000010595746,0.00015385309],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991534,0.000067655696,0.00013723203,0.0001771229,0.0003175842,0.000147],"domain_scores_gemma":[0.99861085,0.00011836378,0.00019175027,0.00077311695,0.00026385576,0.000042062336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003892121,0.00007209115,0.00015289399,0.00008964058,0.00020184863,0.000007439919,0.0007174274,0.000057806592,0.000013876377],"category_scores_gemma":[0.00007759842,0.00004624205,0.00013408375,0.00053069816,0.00055670436,0.000081298494,0.00030881778,0.00019461248,5.4764917e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032937652,0.00012758566,0.022495087,0.00036188727,0.00032277033,4.6059137e-7,0.007554417,0.00015038287,0.963999,0.004012858,0.00022746237,0.00041871177],"study_design_scores_gemma":[0.00040452907,0.000059227506,0.0075511383,0.000033999222,0.00013839631,0.0000012733672,0.008406211,0.0009159627,0.9735763,0.008448347,0.00038656822,0.00007801896],"about_ca_topic_score_codex":0.00003266287,"about_ca_topic_score_gemma":0.000005556859,"teacher_disagreement_score":0.01494395,"about_ca_system_score_codex":0.00007230918,"about_ca_system_score_gemma":0.000056164165,"threshold_uncertainty_score":0.20512004},"labels":[],"label_agreement":null},{"id":"W7117052818","doi":"10.1002/pol.20250577","title":"Role of Glycine in Protein Separation in SDS‐Polyacrylamide Gel Electrophoresis: Gel Synthesis, Characterizations, and Performance","year":2025,"lang":"en","type":"article","venue":"Journal of Polymer Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Collège militaire royal du Canada; Tennessee Tech University","keywords":"Glycine; Polyacrylamide; Biomolecule; Polyacrylamide gel electrophoresis; Gel electrophoresis; Electrophoresis; Polymer","score_opus":0.00352380840144962,"score_gpt":0.25658760427054617,"score_spread":0.25306379586909655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117052818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966542,0.0015340863,0.00095224637,0.0003445516,0.0000068271834,0.00008986645,0.000002765279,0.000005713985,0.00040970175],"genre_scores_gemma":[0.9967951,0.0004568372,0.002566735,0.000021268976,0.000015012782,0.00003719784,4.1663375e-7,0.000004031708,0.000103359285],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991095,0.00000902521,0.00042845748,0.00013467732,0.00016422324,0.00015408696],"domain_scores_gemma":[0.9994247,0.000024888823,0.00029152693,0.00014616801,0.00007865452,0.00003408787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029883147,0.000075583856,0.00016165951,0.0003018214,0.00006188636,0.000022427392,0.0002637807,0.00004234409,0.000009511222],"category_scores_gemma":[0.000068473026,0.00006918351,0.00002021804,0.0006684723,0.00013715957,0.0003537392,0.000045244247,0.00016769087,2.238977e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004470766,0.00004807691,0.010466263,0.000027624597,0.0000018206283,5.496994e-7,0.000060389437,0.0000071541117,0.9805859,0.0013372457,0.0000011772219,0.007419092],"study_design_scores_gemma":[0.00014303067,0.000024864403,0.014889168,0.0002721854,0.000004573692,0.000008933159,0.00005435911,0.0017230714,0.98209673,0.0006837009,0.00004024711,0.000059156562],"about_ca_topic_score_codex":0.000027022514,"about_ca_topic_score_gemma":0.00000847921,"teacher_disagreement_score":0.007359936,"about_ca_system_score_codex":0.000084094616,"about_ca_system_score_gemma":0.0002321893,"threshold_uncertainty_score":0.28212216},"labels":[],"label_agreement":null},{"id":"W7117103279","doi":"10.1002/alz70856_096828","title":"A mass spectrometric assay for detecting autoantibodies in cerebrospinal fluid with Data Independent Acquisition (DIA) utilizing new‐generation mass spectrometry","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Autoantibody; Mass spectrometry; Cerebrospinal fluid; Antibody; Identification (biology)","score_opus":0.04066339232968864,"score_gpt":0.31391061242876434,"score_spread":0.2732472200990757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117103279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027301421,0.010679311,0.95721066,0.0003386654,0.00008551106,0.0007068049,0.00007934345,0.0002259856,0.0033723],"genre_scores_gemma":[0.674713,0.00008425064,0.32441697,0.000051074487,0.0001440204,0.0001606066,0.0003668393,0.00002904057,0.00003417363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805504,0.000021422453,0.00046042807,0.00076565676,0.0002457089,0.00045176837],"domain_scores_gemma":[0.9987085,0.00008561561,0.00021727856,0.0008468942,0.00007530404,0.00006643412],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040297178,0.0002673889,0.00026610921,0.00041519638,0.00025584194,0.00014535063,0.0005344708,0.00014438748,0.00013977673],"category_scores_gemma":[0.00005038603,0.0002835207,0.000060968625,0.0008842816,0.00003437853,0.00037065608,0.00018610021,0.00027568574,0.0000048936213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070894486,0.0000682519,0.0049551623,0.00003110927,0.0013460303,0.0000030327212,0.000021870215,0.00009000309,0.9702475,0.0039339466,0.0004082848,0.018823883],"study_design_scores_gemma":[0.0009135035,0.00006777185,0.00090035284,0.00008108247,0.0018797406,0.000005480415,0.00010995146,0.010226246,0.9783264,0.0059298654,0.0011911343,0.0003684731],"about_ca_topic_score_codex":0.00008968929,"about_ca_topic_score_gemma":0.00010909363,"teacher_disagreement_score":0.6474116,"about_ca_system_score_codex":0.00007368482,"about_ca_system_score_gemma":0.0001296011,"threshold_uncertainty_score":0.9999617},"labels":[],"label_agreement":null},{"id":"W7117167655","doi":"10.1002/alz70856_099373","title":"Benchmarking the AI‐based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,710 people","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Disease; Proteomics; Benchmarking; Neurodegeneration; Dementia; Degenerative disease","score_opus":0.011197588617002003,"score_gpt":0.2741321510623421,"score_spread":0.26293456244534014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117167655","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32852027,0.0072876597,0.65362614,0.004771355,0.00019744963,0.003952258,0.00044250867,0.00014781544,0.0010545463],"genre_scores_gemma":[0.9680305,0.00003426769,0.029635271,0.0002658651,0.00005463736,0.0018156678,0.00012364448,0.000020056528,0.00002005388],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899626,0.000019005221,0.0003409094,0.00031421628,0.00010469744,0.00022491916],"domain_scores_gemma":[0.99908555,0.00024056135,0.00014636468,0.00040408448,0.000080224876,0.000043242726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099385485,0.000160442,0.00016515507,0.00005278087,0.00015077501,0.000028784658,0.00030613443,0.000059724716,0.000091056034],"category_scores_gemma":[0.00007650506,0.00014263717,0.00010773936,0.00018770227,0.000066386725,0.000062910905,0.00010240143,0.00015835714,0.0000010175602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016305387,0.0025307229,0.08897088,0.0005622467,0.0068656197,0.000019880346,0.0006384737,0.11153571,0.64311135,0.06436037,0.013660225,0.066113986],"study_design_scores_gemma":[0.000879751,0.000027904265,0.0017932423,0.00008429238,0.0028168985,3.0801732e-7,0.000025649384,0.07483877,0.90868413,0.006956305,0.0036496138,0.00024314366],"about_ca_topic_score_codex":0.00004914475,"about_ca_topic_score_gemma":0.00008258604,"teacher_disagreement_score":0.6395103,"about_ca_system_score_codex":0.000009100937,"about_ca_system_score_gemma":0.000120589,"threshold_uncertainty_score":0.58165747},"labels":[],"label_agreement":null},{"id":"W7117303134","doi":"10.1021/acsptsci.5c00658","title":"Direct Injection Mass Spectrometry and iFishMass for the High-Throughput Analysis of Antibody Modifications","year":2025,"lang":"en","type":"article","venue":"ACS Pharmacology & Translational Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine; NIH Office of the Director; MSD K.K.; Hevolution Foundation","keywords":"Mass spectrometry; Pipette; Antibody-drug conjugate; Monoclonal antibody; Proteomics; Sample preparation; Tandem mass spectrometry; Drug discovery; Analyte","score_opus":0.015424223098198403,"score_gpt":0.3609325270720574,"score_spread":0.345508303973859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117303134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23130962,0.00025048412,0.76210374,0.003264334,0.00006455263,0.00032715854,0.00020405286,0.000054006727,0.002422069],"genre_scores_gemma":[0.968571,0.00018614906,0.030675111,0.00011779329,0.000028693205,0.00022368885,0.000045082896,0.0000040001732,0.00014846008],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991467,0.000009317438,0.00022225553,0.00032087605,0.00014050618,0.00016034053],"domain_scores_gemma":[0.99903667,0.0004945266,0.00010283564,0.00017561432,0.00016179131,0.000028581626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031150313,0.00008434382,0.00014732029,0.0002388523,0.00049437454,0.00001946178,0.0003100214,0.00005229498,0.00007285489],"category_scores_gemma":[0.000023136638,0.00007143567,0.00006356685,0.001991079,0.0006057432,0.0001467209,0.000023665374,0.00010151568,2.8541598e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018189146,0.000038932525,0.002007182,0.000011837137,0.00017994558,3.8782673e-8,0.000037293335,0.005343063,0.9560978,0.035318397,0.000050504892,0.0008968393],"study_design_scores_gemma":[0.00030908614,0.000013774491,0.01577572,0.0000049012015,0.0009521557,7.060491e-7,0.000033874894,0.03864869,0.926293,0.016362874,0.0015000269,0.000105161635],"about_ca_topic_score_codex":0.000035476398,"about_ca_topic_score_gemma":0.0000070814694,"teacher_disagreement_score":0.7372614,"about_ca_system_score_codex":0.000041397834,"about_ca_system_score_gemma":0.00011445869,"threshold_uncertainty_score":0.38023794},"labels":[],"label_agreement":null},{"id":"W7117706287","doi":"10.1210/endocr/bqaf190","title":"MetaboMiNR: An Online Tool to Analyze Label-Free Proteomic Experiments With a Focus on Metabolism and Nuclear Receptors","year":2025,"lang":"en","type":"article","venue":"Endocrinology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leverage (statistics); Nuclear receptor; Focus (optics); Proteomics; Process (computing); Receptor","score_opus":0.016627617676356208,"score_gpt":0.2996781998776009,"score_spread":0.2830505822012447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117706287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99004936,0.00014861824,0.0018574134,0.0020531542,0.000034438257,0.0005158855,0.00007492533,0.00028053563,0.004985675],"genre_scores_gemma":[0.68146265,0.0001647969,0.31426498,0.0009323487,0.000089323476,0.0010082173,0.00003787826,0.00006481364,0.0019749878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987894,0.000021327003,0.0002233768,0.00052645634,0.00008888031,0.00035054385],"domain_scores_gemma":[0.99892694,0.0000231983,0.00007271813,0.0008458528,0.000044070093,0.00008720757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029904231,0.00021965212,0.0003062112,0.00013473495,0.00013154741,0.000025492445,0.00039328076,0.00008634285,0.00017683803],"category_scores_gemma":[0.000042486514,0.00019371243,0.00003036672,0.000195673,0.000087869405,0.00007443732,0.00024333634,0.00025879513,0.000010821028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008228577,0.0008228964,0.0007399717,0.000041317347,0.00022228548,0.000022194345,0.00035464362,0.000033488337,0.6856515,0.22849417,0.0014853008,0.081309415],"study_design_scores_gemma":[0.0025931515,0.0002961993,0.0005726901,0.00005270757,0.000111127796,0.000030373094,0.00028893087,0.00025636153,0.8352889,0.017170362,0.1428038,0.0005353943],"about_ca_topic_score_codex":0.00007703784,"about_ca_topic_score_gemma":0.000023624985,"teacher_disagreement_score":0.31240755,"about_ca_system_score_codex":0.000050821454,"about_ca_system_score_gemma":0.00002919076,"threshold_uncertainty_score":0.78993636},"labels":[],"label_agreement":null},{"id":"W7125378721","doi":"10.1101/2024.05.29.596405","title":"High-throughput proteome profiling with low variation in a multi-center study using dia-PASEF","year":2024,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Proteome; Proteomics; Profiling (computer programming); Quantitative proteomics; Systems biology; Robustness (evolution); Human proteome project; Mass spectrometry","score_opus":0.018496906228854554,"score_gpt":0.26398049893947256,"score_spread":0.245483592710618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125378721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89506745,0.00025542584,0.09408095,0.00012761852,0.00037480737,0.0086195655,0.000643253,0.0008264549,0.0000044766457],"genre_scores_gemma":[0.7279061,0.00009919925,0.26545417,0.00003541025,0.0004243607,0.005648468,0.0000017286736,0.00042074113,0.000009829762],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99232674,0.00019865674,0.0018890325,0.0034909449,0.00078544766,0.0013091901],"domain_scores_gemma":[0.99457276,0.00007499681,0.0012815829,0.002923,0.0007670637,0.0003806056],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009964231,0.0016206386,0.00140181,0.0005455384,0.0004119191,0.0006729006,0.0010809095,0.0011027078,0.000057720263],"category_scores_gemma":[0.00012885111,0.0017167937,0.00023616999,0.0017597177,0.00021927002,0.00040229925,0.0015953343,0.0033224162,0.00007278836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017660354,0.0044372547,0.00824144,0.0024364262,0.00038332632,0.00022542644,0.00011507969,0.0018238508,0.9815789,0.0005769883,0.0000028190357,0.0000019022814],"study_design_scores_gemma":[0.004046808,0.00019160735,0.005102034,0.0045405314,0.00047012087,1.6310877e-7,0.000045762834,0.015554707,0.9674699,0.000036409034,0.00012134754,0.0024206575],"about_ca_topic_score_codex":0.0003807065,"about_ca_topic_score_gemma":0.000024192645,"teacher_disagreement_score":0.17137322,"about_ca_system_score_codex":0.0020903808,"about_ca_system_score_gemma":0.001375826,"threshold_uncertainty_score":0.9996541},"labels":[],"label_agreement":null},{"id":"W7127912550","doi":"10.1093/eurheartj/ehaf784.415","title":"Assessment of 352 plasma biomarkers for predicting ischaemic stroke risk in atrial fibrillation patients without anticoagulation - A proteomic profiling study","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Atrial fibrillation; Stroke (engine); Hazard ratio; Ischaemic stroke; Proportional hazards model; Interquartile range; Biomarker; Mace; Randomized controlled trial","score_opus":0.023042627003113377,"score_gpt":0.3410643630747434,"score_spread":0.31802173607163003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127912550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753382,0.00002481827,0.022461105,0.000023516843,0.00006304076,0.0013605658,0.00005280004,0.00004481105,0.00063113065],"genre_scores_gemma":[0.926913,0.000020723151,0.07276822,0.0000025414804,0.00018877078,0.000023015475,0.00001930514,0.000025532116,0.000038896516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863774,0.00013141314,0.00063721783,0.00023388196,0.00017800817,0.00018176401],"domain_scores_gemma":[0.9990748,0.00008795629,0.00048221153,0.00018619654,0.00012797814,0.000040853018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087869295,0.00013017301,0.00021252342,0.00016154099,0.00022393753,0.000045456913,0.00011926824,0.000041848027,0.0000062266195],"category_scores_gemma":[0.00019140227,0.0001294831,0.00011863461,0.00014187997,0.00002287968,0.00013835759,0.000065429704,0.00030901504,4.5867557e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014537603,0.00006165327,0.95242304,0.00004215199,0.000051978353,4.1055094e-7,0.000072466886,0.002473213,0.04107379,0.000023941959,0.000010192901,0.0036217899],"study_design_scores_gemma":[0.006975747,0.00040507852,0.854391,0.0005396077,0.00015794412,0.000006845199,0.0003465618,0.08698077,0.04913945,0.00035937445,0.00041470682,0.00028295958],"about_ca_topic_score_codex":0.000007922453,"about_ca_topic_score_gemma":0.0000019879062,"teacher_disagreement_score":0.09803208,"about_ca_system_score_codex":0.00013457699,"about_ca_system_score_gemma":0.00008705897,"threshold_uncertainty_score":0.52801675},"labels":[],"label_agreement":null},{"id":"W7148267296","doi":"10.70675/998ef826z0410z45bazb46fzc0b7b1655e96","title":"Quantification de protéines dans des matrices complexes par spectrométrie de masse : nouveaux outils et apllications","year":2016,"lang":"","type":"dissertation","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantitative analysis (chemistry); Peptide fragment; Fluorescent labelling","score_opus":0.021525019680099577,"score_gpt":0.3359788522506887,"score_spread":0.3144538325705891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7148267296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18114859,0.00062056613,0.7725524,0.0016147173,0.0000546184,0.0029647842,0.0009333116,0.0012688987,0.03884214],"genre_scores_gemma":[0.6553106,0.007571827,0.30974233,0.00010365118,0.00031402195,0.007525278,0.003390153,0.0002479249,0.015794221],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99508125,0.00015103503,0.0015958269,0.0015117963,0.00044975293,0.0012103438],"domain_scores_gemma":[0.9948968,0.00045872986,0.0015307158,0.0018936269,0.000790461,0.00042966483],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006612302,0.0010401501,0.00080088776,0.00029710992,0.0015077435,0.00040578988,0.0014401235,0.0009975028,0.00093032647],"category_scores_gemma":[0.00030334902,0.0009846312,0.00044810935,0.00070797576,0.0004812702,0.00053549174,0.0001225458,0.0008275404,0.00019035382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010615361,0.00054029695,0.0049280855,0.0008695409,0.0001302584,0.0000023503344,0.0017299872,0.000022587008,0.8915201,0.09590578,0.0006559556,0.0035889198],"study_design_scores_gemma":[0.00040664428,0.000059703772,0.003331955,0.0006280555,0.00030321395,0.000035738463,0.0024577756,0.0008536171,0.8785246,0.10607309,0.0061811586,0.0011444401],"about_ca_topic_score_codex":0.00060302013,"about_ca_topic_score_gemma":0.0005399824,"teacher_disagreement_score":0.474162,"about_ca_system_score_codex":0.000977922,"about_ca_system_score_gemma":0.0011181337,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W73658525","doi":"10.1007/978-1-61779-148-2_17","title":"Protease Specificity Profiling by Tandem Mass Spectrometry Using Proteome-Derived Peptide Libraries","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Protease; Proteome; Peptide; Chemistry; Tandem mass spectrometry; Cleavage (geology); Peptide sequence; Scissile bond; Bottom-up proteomics; Biochemistry; Mass spectrometry; Protein mass spectrometry; Biology; Enzyme; Chromatography","score_opus":0.04566065880587458,"score_gpt":0.3614397661727897,"score_spread":0.31577910736691517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W73658525","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1285006,0.00026210918,0.8660844,0.00002971256,0.000020907099,0.00064019585,0.00002564556,0.00016887013,0.0042675887],"genre_scores_gemma":[0.013133848,0.000025283663,0.98601454,0.00006401028,0.000043181764,0.00054229936,0.00003429013,0.000053821914,0.00008872576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981634,0.00025201074,0.0004432734,0.00061123475,0.000071986826,0.00045807727],"domain_scores_gemma":[0.9990216,0.00006400842,0.00022726816,0.00055631355,0.00004214274,0.000088672605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050136994,0.00026942266,0.00036729,0.00011777634,0.000099439174,0.00002121232,0.00040773337,0.0003300221,0.00028372623],"category_scores_gemma":[0.00023283919,0.0002704314,0.000099726494,0.0003328231,0.00024282697,0.00007176499,0.00017312344,0.0005242635,0.0000028201034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003275653,0.000072538125,0.003268039,0.0000349585,0.000019047615,0.000012896208,0.00005421647,0.0000051430693,0.98966926,0.0060949735,0.0000034781324,0.00073266734],"study_design_scores_gemma":[0.00018844928,0.000033062217,0.00001170057,0.000021514807,0.000008609288,0.000009408768,0.00007462352,0.0003607864,0.8729757,0.12563407,0.00041203285,0.00027005607],"about_ca_topic_score_codex":0.00004488491,"about_ca_topic_score_gemma":4.949561e-7,"teacher_disagreement_score":0.119930156,"about_ca_system_score_codex":0.00010490097,"about_ca_system_score_gemma":0.000061514715,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W7382634","doi":"10.1007/978-1-61779-821-4_4","title":"Protein Solubilization: Attend to the Choice of Lysis Buffer","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lysis; Lysis buffer; Buffer (optical fiber); Solubilization; Thiourea; Chemistry; Urea; Extraction (chemistry); Chromatography; Biochemistry; Computer science; Organic chemistry","score_opus":0.033844539228261965,"score_gpt":0.42566543220754904,"score_spread":0.39182089297928707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7382634","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045822397,0.00025433075,0.9515375,0.0006084509,0.00001618877,0.0002483673,0.0000067438746,0.00002448155,0.0014815191],"genre_scores_gemma":[0.07610179,0.0000069666094,0.92290574,0.00020641359,0.000048886035,0.00055532757,0.000009948832,0.00001361125,0.0001513085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992199,0.00015609612,0.00021429271,0.00016961133,0.000038069556,0.00020203565],"domain_scores_gemma":[0.9992829,0.00010514714,0.0000794428,0.0004576052,0.000037494636,0.000037412046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049927767,0.00008854554,0.00015171831,0.000037978047,0.00003319063,0.0000027378637,0.00025226464,0.00011690144,0.00011578187],"category_scores_gemma":[0.00032913688,0.000066898036,0.000050428596,0.00023246196,0.000061427854,0.000015278023,0.00012942043,0.000127587,0.0000037262498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034988511,0.000031376814,0.0024173174,0.000012016689,0.0000081717835,9.458175e-8,0.000046054334,0.00003291794,0.970265,0.016776254,0.000010652305,0.010396659],"study_design_scores_gemma":[0.000059305345,0.0000099558365,0.00007901802,0.000008511588,0.000007746724,0.0000011519527,0.000016116735,0.00007408943,0.96102905,0.0089055775,0.029729744,0.000079710444],"about_ca_topic_score_codex":0.000028109156,"about_ca_topic_score_gemma":0.0000046282835,"teacher_disagreement_score":0.030279392,"about_ca_system_score_codex":0.000024877983,"about_ca_system_score_gemma":0.000009334865,"threshold_uncertainty_score":0.27280226},"labels":[],"label_agreement":null},{"id":"W74584980","doi":"10.2144/03344rr03","title":"Facilitated Loading of Horizontal Gels Using a Capillary Comb Loader","year":2003,"lang":"en","type":"article","venue":"BioTechniques","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Human Genome Research Institute; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","keywords":"Agarose; Loader; Capillary action; Buffer (optical fiber); Materials science; Sizing; Hydrostatic equilibrium; Hydrostatic pressure; Metering mode; Composite material; Chromatography; Optics; Chemistry; Computer science; Mechanical engineering; Engineering; Mechanics","score_opus":0.0272784159064629,"score_gpt":0.2900538162589816,"score_spread":0.2627754003525187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W74584980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7059123,0.00058944226,0.28228846,0.000042746913,0.000016908101,0.00033847435,0.000088001434,0.00079602975,0.00992763],"genre_scores_gemma":[0.76503444,0.00013463985,0.23463061,0.000018976145,0.000014812848,0.00004767641,0.000013282961,0.000025476042,0.00008011453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904853,0.000017121132,0.00032255022,0.00026366473,0.00012282692,0.00022532934],"domain_scores_gemma":[0.99928474,0.000029682244,0.0001524749,0.00039838796,0.00007384469,0.000060877584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001181816,0.00017386138,0.00022258278,0.00006632379,0.000091116395,0.000013121,0.00017284648,0.0002569061,0.00018314543],"category_scores_gemma":[0.000040427007,0.00017895496,0.0000934611,0.00016523807,0.00011678328,0.00008633666,0.000047796326,0.00021466057,0.0000029610294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000659844,0.000044775075,0.00022159882,0.000052108528,0.000011514689,0.0000019694028,0.000042901625,0.0000018824495,0.99108636,0.0075973645,0.00011606369,0.0008168593],"study_design_scores_gemma":[0.000096569885,0.000026391768,0.000002466175,0.000075725686,0.000011625171,0.00002196711,0.000068093315,0.00008832271,0.97916496,0.006057379,0.014186432,0.00020007529],"about_ca_topic_score_codex":0.000104381055,"about_ca_topic_score_gemma":0.0000014289765,"teacher_disagreement_score":0.059122104,"about_ca_system_score_codex":0.00009907256,"about_ca_system_score_gemma":0.0000438709,"threshold_uncertainty_score":0.72975713},"labels":[],"label_agreement":null},{"id":"W752259472","doi":"10.1007/s13361-015-1204-0","title":"Novor: Real-Time Peptide de Novo Sequencing Software","year":2015,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":269,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Software; Computer science; Tandem mass spectrometry; Speedup; Mass spectrometry; Sequence (biology); Chemistry; Computational biology; Programming language; Chromatography; Parallel computing; Biology; Biochemistry","score_opus":0.01959154511963871,"score_gpt":0.2892575333285742,"score_spread":0.26966598820893545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W752259472","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74187076,0.000085039035,0.2546067,0.0013899413,0.00003638433,0.00012912991,0.000054438362,0.0000989403,0.0017286467],"genre_scores_gemma":[0.11945692,0.00015199388,0.87815475,0.0003857703,0.00049009983,0.000019446337,0.0000026085318,0.000048332007,0.0012900812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988322,0.000012017011,0.0003691003,0.00015141115,0.00029611972,0.00033914603],"domain_scores_gemma":[0.99804497,0.00014555053,0.0010247198,0.0003840596,0.000230276,0.00017041994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044295777,0.00015701637,0.00034024476,0.000033772136,0.0001432998,0.000035836296,0.00061568344,0.00006025307,0.000037612335],"category_scores_gemma":[0.00020159627,0.00012066775,0.00081637513,0.00042395608,0.0001969979,0.00010764901,0.00008233472,0.00041889507,0.000003169552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048001584,0.000033439595,0.0018609321,0.000025411511,0.00013385678,0.0000021851756,0.00018211083,0.00016167662,0.986188,0.00021208142,0.010742107,0.00041019527],"study_design_scores_gemma":[0.0019383684,0.00059233495,0.00036160453,0.00021698338,0.00044667174,0.0011093348,0.0059083058,0.0010954663,0.8701466,0.0918702,0.0254465,0.0008676521],"about_ca_topic_score_codex":0.00003349927,"about_ca_topic_score_gemma":6.4700663e-7,"teacher_disagreement_score":0.62354803,"about_ca_system_score_codex":0.0013383798,"about_ca_system_score_gemma":0.00036066768,"threshold_uncertainty_score":0.4920688},"labels":[],"label_agreement":null},{"id":"W813270164","doi":"10.1139/o08-007","title":"Recent developments in mass spectrometry-based quantitative phosphoproteomicsThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB — Systems and Chemical Biology, and has undergone the Journal's usual peer review process.","year":2008,"lang":"en","type":"review","venue":"Biochemistry and Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Phosphoproteomics; Phosphopeptide; Phosphorylation; Posttranslational modification; Proteomics; Protein phosphorylation; Computational biology; Mass spectrometry; Biology; Chemistry; Cell biology; Biochemistry; Chromatography; Protein kinase A","score_opus":0.030811515905208912,"score_gpt":0.31451814927114463,"score_spread":0.2837066333659357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W813270164","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002684528,0.9935923,0.00006312958,0.00028484306,0.000029572755,0.0006477708,0.00013524778,0.00001093574,0.0025516488],"genre_scores_gemma":[0.0011107468,0.9941692,0.003830563,0.000040604293,0.00011494558,0.00017038477,0.00025021404,0.000023028166,0.00029033676],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801975,0.00008731875,0.0009890128,0.0005062502,0.00013702405,0.0002606153],"domain_scores_gemma":[0.998378,0.00017156084,0.00093355234,0.00021557139,0.00022921697,0.00007214712],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051133096,0.0003583806,0.0012301947,0.00009760717,0.00007668016,0.000019661764,0.00024709722,0.0006836093,0.0021310577],"category_scores_gemma":[0.00026746353,0.0002739976,0.00008637513,0.00044158116,0.00048334835,0.000038961723,0.00008077404,0.0007034093,6.6629747e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003180476,0.0006473281,0.0007151968,0.07114313,0.0003900712,0.0000052754103,0.00030300024,5.289992e-7,0.80171835,0.00016347431,0.003083472,0.12151211],"study_design_scores_gemma":[0.00060962193,0.00006657723,0.0000018499787,0.006073151,0.00014414053,0.00007149033,0.00008292019,0.0000069308794,0.40117428,0.00021379082,0.59118253,0.0003727343],"about_ca_topic_score_codex":0.00003919663,"about_ca_topic_score_gemma":0.0000030381314,"teacher_disagreement_score":0.58809906,"about_ca_system_score_codex":0.00014805922,"about_ca_system_score_gemma":0.00039585904,"threshold_uncertainty_score":0.9999712},"labels":[],"label_agreement":null},{"id":"W87556421","doi":"10.1007/978-1-60761-842-3_11","title":"Mass Spectrometric Protein Identification Using the Global Proteome Machine","year":2010,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources","keywords":"Proteome; Identification (biology); Mass spectrometry; Computational biology; Computer science; Cover (algebra); Chemistry; Biology; Bioinformatics; Chromatography; Engineering; Ecology","score_opus":0.019408461366810847,"score_gpt":0.41094722541603645,"score_spread":0.3915387640492256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W87556421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10704594,0.000108196116,0.890767,0.0002801693,0.000037516456,0.00050193357,0.000020971383,0.00006795235,0.001170352],"genre_scores_gemma":[0.09158552,0.000005184566,0.9077491,0.000041833264,0.000041923267,0.0004880525,0.000017440596,0.000016216904,0.00005470787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988545,0.00015805352,0.00030894866,0.00036126922,0.00006421568,0.00025298673],"domain_scores_gemma":[0.9990465,0.000046813548,0.00017304928,0.0006553989,0.000042814278,0.00003540233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083458575,0.00014238,0.00016150084,0.000079220066,0.00008889914,0.00002338676,0.00045824243,0.00021778204,0.00009965924],"category_scores_gemma":[0.00036722753,0.00011246758,0.00006604276,0.00067292654,0.0001442629,0.00002410916,0.00010414724,0.00050840713,0.000003126554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005656594,0.000023101416,0.00076171634,0.000009678093,0.000006613389,0.0000017815013,0.000004038405,0.000012865275,0.9475954,0.045366965,2.9080715e-7,0.006211849],"study_design_scores_gemma":[0.00008612579,0.000007249162,0.000030301724,0.0000035325684,0.0000060392867,0.000014265002,0.0000044762837,0.0015027415,0.7415329,0.25574315,0.00097046857,0.00009874174],"about_ca_topic_score_codex":0.000067342306,"about_ca_topic_score_gemma":0.000008247212,"teacher_disagreement_score":0.21037617,"about_ca_system_score_codex":0.000087968845,"about_ca_system_score_gemma":0.00003103694,"threshold_uncertainty_score":0.45862946},"labels":[],"label_agreement":null},{"id":"W94201945","doi":"10.1016/b978-0-12-381264-3.00001-1","title":"Proteomics technologies for the global identification and quantification of proteins","year":2010,"lang":"en","type":"review","venue":"Advances in protein chemistry and structural biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":170,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Proteomics; Quantitative proteomics; Stable isotope labeling by amino acids in cell culture; Computational biology; Phosphoproteomics; Proteome; Tandem mass spectrometry; Isobaric labeling; Biomarker discovery; Chemistry; Identification (biology); Biology; Chromatography; Mass spectrometry; Bioinformatics; Biochemistry","score_opus":0.018024091474980748,"score_gpt":0.34940549973489654,"score_spread":0.3313814082599158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W94201945","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010827344,0.98386055,0.011522077,0.00009618951,0.000027616272,0.0026396492,0.000604371,0.000094165094,0.000072626135],"genre_scores_gemma":[0.004797366,0.95809317,0.030540846,0.0000012508294,0.00005277216,0.0062044603,0.00024395439,0.00001954211,0.000046655638],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838185,0.000014330834,0.00071164244,0.00060428,0.00005532792,0.00023255165],"domain_scores_gemma":[0.9983303,0.00015957133,0.00084800384,0.000563938,0.00007344696,0.000024765563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016257698,0.00034012867,0.00068464654,0.000019498895,0.00016236727,0.000025918409,0.000489905,0.00078616786,0.000006078799],"category_scores_gemma":[0.0002902838,0.00023293337,0.00010045673,0.00016733102,0.0007933041,0.00010237626,0.00015746025,0.0005439148,1.5233086e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016838972,0.0000071528707,0.000029470166,0.008996953,0.000015032739,1.134928e-7,0.00000451754,6.5840464e-7,0.05980702,0.010224904,2.4416292e-7,0.92089707],"study_design_scores_gemma":[0.00023534212,0.000025622456,0.0000020894795,0.001626842,0.00011537246,0.00005870311,0.00006054489,0.00011277711,0.29027107,0.16723882,0.53977764,0.00047518086],"about_ca_topic_score_codex":0.0000070091087,"about_ca_topic_score_gemma":0.000007929127,"teacher_disagreement_score":0.9204219,"about_ca_system_score_codex":0.000054506745,"about_ca_system_score_gemma":0.000060617767,"threshold_uncertainty_score":0.9498747},"labels":[],"label_agreement":null},{"id":"W942181280","doi":"10.1007/978-0-387-69057-5_6","title":"Identification of Protease Substrates by Mass Spectrometry Approaches-2","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteolysis; Protease; Proteomics; Mass spectrometry; Chemistry; Cleavage (geology); Context (archaeology); Computational biology; Biochemistry; Bottom-up proteomics; Tandem mass spectrometry; Biology; Chromatography; Enzyme; Protein mass spectrometry","score_opus":0.027834777586579495,"score_gpt":0.24442988949959377,"score_spread":0.21659511191301428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W942181280","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000376951,0.0006614725,0.08618621,0.00007584738,0.000008383461,0.0005981847,0.0004828521,0.00026318498,0.9113469],"genre_scores_gemma":[0.035062443,0.0012496187,0.046108335,0.00001126661,0.000101441736,0.0003401251,0.0007909006,0.00011969313,0.9162162],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99856424,0.0000020864736,0.00058870966,0.00046249322,0.00022192944,0.00016056506],"domain_scores_gemma":[0.99851364,0.000023694674,0.00059099385,0.0007297181,0.00007224929,0.00006970721],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006020447,0.00029585115,0.00031893843,0.000074931864,0.00006405368,0.000015776908,0.00032914768,0.00040746582,0.0013372281],"category_scores_gemma":[0.000008326746,0.000303486,0.00016034537,0.000038012076,0.00014692507,0.00005827056,0.00003844509,0.0003817421,0.0000462482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014151786,0.00006592302,0.000013324244,0.00026798103,0.000064822954,0.0000021464682,0.000012579785,0.0000025913275,0.8918061,0.101182416,0.005281202,0.0012867239],"study_design_scores_gemma":[0.00008606416,0.0000099657245,5.684416e-7,0.000040064147,0.00003115363,0.000008536921,0.000007665776,0.000060367376,0.936047,0.038648184,0.024748586,0.0003118464],"about_ca_topic_score_codex":0.0000057660927,"about_ca_topic_score_gemma":3.942506e-7,"teacher_disagreement_score":0.06253423,"about_ca_system_score_codex":0.00008367028,"about_ca_system_score_gemma":0.000046005334,"threshold_uncertainty_score":0.9999417},"labels":[],"label_agreement":null}]}