{"meta":{"query_hash":"f7021b0af189","filters":{"venue":"Expert Review of Proteomics"},"cohort_total":63,"direct_labels_cover":1,"predictions_cover":63,"exported":63,"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/f7021b0af189","api":"https://metacan.xera.ac/api/v1/cohort?venue=Expert+Review+of+Proteomics"},"results":[{"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07097322,0.3359487,0.5600578,0.0022863357,0.0017360934,0.0010400108,0.0009345429,0.0036828727,0.023340385],"genre_scores_gemma":[0.21764702,0.32957378,0.42191386,0.0044875625,0.0013709356,0.0012714227,0.0014287118,0.00038212203,0.02192455],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986753,0.00020495038,0.00005570999,0.0002579861,0.0007114847,0.00009460759],"domain_scores_gemma":[0.9996859,0.000106496394,0.00007598212,0.000029479383,0.00007572047,0.000026433416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011133071,0.0014049874,0.0011216796,0.0015818501,0.00039932138,0.0010048485,0.0012089342,0.0015659499,0.0016431333],"category_scores_gemma":[0.0006922026,0.00061528775,0.0006534795,0.0010211952,0.0006084133,0.0010869944,0.0009304961,0.0014609348,0.004031289],"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":[0.000074265474,0.000079702884,0.0002255288,0.0019806875,0.0001084649,0.00027903638,0.00005548029,0.00056106097,0.9270385,0.0022634987,0.0020550254,0.06527883],"study_design_scores_gemma":[0.000023118311,0.00046053113,0.0017994448,0.000279977,0.0001071556,0.0014106901,0.00005442275,0.004436794,0.8935241,0.0017024173,0.096120015,0.0000813299],"about_ca_topic_score_codex":0.00030142308,"about_ca_topic_score_gemma":0.0007309295,"teacher_disagreement_score":0.0016431333,"about_ca_system_score_codex":0.0008027526,"about_ca_system_score_gemma":0.000382766,"threshold_uncertainty_score":0.0058878064},"labels":[],"label_agreement":null},{"id":"W1969515158","doi":"10.1586/epr.10.33","title":"Systemizing the structures and structuring the system","year":2010,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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 Montréal","funders":"Massachusetts Institute of Technology","keywords":"Structuring; Cover (algebra); Data science; Promiscuity; Biological network; Function (biology); Systems biology; Computer science; Frontier; Computational biology; Biology; Geography; Evolutionary biology; Ecology; Engineering; Political science","score_opus":0.005720487189399068,"score_gpt":0.24582430721791945,"score_spread":0.24010382002852038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969515158","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020321714,0.002132035,0.8938119,0.017916018,0.0004834786,0.0005023744,0.00053307763,0.0014081782,0.062891215],"genre_scores_gemma":[0.31822854,0.00326125,0.65504813,0.002503742,0.00046799998,0.0011176633,0.0016891381,0.0007018986,0.016981628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99665916,0.001513427,0.00020688096,0.00082885864,0.0005073476,0.00028441224],"domain_scores_gemma":[0.9951133,0.0015341263,0.0003287651,0.0018964086,0.00080888974,0.00031859626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052697486,0.0008810036,0.0008579857,0.0018300768,0.0027829965,0.00863505,0.0025188902,0.0022396615,0.009870964],"category_scores_gemma":[0.008262227,0.00082120544,0.0014565553,0.0011393863,0.012875518,0.012300224,0.0069864257,0.0041615423,0.0031003274],"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":[0.000024193574,0.00004182009,0.0009102885,0.00021515081,0.000044459637,0.00015233477,0.0016028336,0.008640445,0.0027276448,0.9592931,0.0034242112,0.022923429],"study_design_scores_gemma":[0.000015113448,0.000045938523,0.00033314686,0.000117485135,0.00003332217,0.000111490015,0.00070032023,0.014047298,0.0011890205,0.9239694,0.059405643,0.000031853386],"about_ca_topic_score_codex":0.004998308,"about_ca_topic_score_gemma":0.003417255,"teacher_disagreement_score":0.009870964,"about_ca_system_score_codex":0.0032216008,"about_ca_system_score_gemma":0.0073188804,"threshold_uncertainty_score":0.03302169},"labels":[],"label_agreement":null},{"id":"W1970758107","doi":"10.1586/epr.11.63","title":"Mass spectrometry-based functional proteomics of poly(ADP-ribose) polymerase-1","year":2011,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"PARP inhibition in cancer therapy","field":"Medicine","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":"Université Laval; Centre hospitalier de l'Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Poly ADP ribose polymerase; Chromatin; Proteomics; Proteome; Biology; Computational biology; Cell biology; Chromatin remodeling; DNA repair; Stable isotope labeling by amino acids in cell culture; DNA damage; Polymerase; Genetics; DNA; Gene","score_opus":0.07243935755958335,"score_gpt":0.373333894773214,"score_spread":0.30089453721363063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970758107","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002333247,0.9863804,0.006359591,0.0006473638,0.00039437224,0.000031799333,0.00010735071,0.00008472781,0.003661228],"genre_scores_gemma":[0.012730226,0.9748283,0.0070486395,0.00076266966,0.00039297322,0.000042547057,0.00029906703,0.000013853086,0.003881746],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996476,0.00006901058,0.000020214195,0.0000707415,0.00015830035,0.00003414805],"domain_scores_gemma":[0.9998117,0.00005264729,0.000038080198,0.000009526916,0.00006886391,0.000019066529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008344353,0.0013961563,0.0013527767,0.0017081634,0.00020398556,0.00072379963,0.0011459778,0.0011865626,0.0011958645],"category_scores_gemma":[0.00039668617,0.00039749552,0.00056132785,0.0016073863,0.000436783,0.00093808427,0.00054287893,0.001150346,0.0023800419],"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":[0.000284888,0.00023105933,0.00069026026,0.013924904,0.0004329058,0.0010297125,0.0000787757,0.0012519493,0.13845003,0.0053366604,0.029280081,0.80900884],"study_design_scores_gemma":[0.00008845695,0.00047794118,0.0064333156,0.0014374607,0.0003276038,0.008620435,0.00010699108,0.0032985741,0.12717013,0.00549401,0.84639347,0.00015169042],"about_ca_topic_score_codex":0.0005617724,"about_ca_topic_score_gemma":0.0008303789,"teacher_disagreement_score":0.0017081634,"about_ca_system_score_codex":0.0006649671,"about_ca_system_score_gemma":0.0004892101,"threshold_uncertainty_score":0.004824698},"labels":[],"label_agreement":null},{"id":"W1975443094","doi":"10.1586/epr.12.42","title":"Exploring membrane protein structural features by oxidative labeling and mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Mass Spectrometry 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":"Western University","funders":"","keywords":"Chemistry; Mass spectrometry; Structural biology; Isotopic labeling; Transmembrane protein; Tandem mass spectrometry; Folding (DSP implementation); Nuclear magnetic resonance spectroscopy; Protein structure; Integral membrane protein; Membrane protein; Membrane; Biochemistry; Stereochemistry; Chromatography; Organic chemistry","score_opus":0.030555124742922025,"score_gpt":0.3002099121553441,"score_spread":0.26965478741242205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975443094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6135232,0.019374594,0.3552209,0.0014144565,0.00030858247,0.0002001175,0.0011192239,0.0009230392,0.007915941],"genre_scores_gemma":[0.7053257,0.020919237,0.26576662,0.000754364,0.00015769318,0.00021181421,0.0013113626,0.00013380236,0.0054194117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996675,0.000065648244,0.000015400585,0.00009131017,0.00012839386,0.000031846972],"domain_scores_gemma":[0.999734,0.00006944834,0.00008937283,0.000034842313,0.000051371466,0.000020975274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006234335,0.0005899489,0.00030183574,0.0006816114,0.0002802417,0.00049404276,0.0006360881,0.0008342627,0.0009501278],"category_scores_gemma":[0.00060139043,0.00026087524,0.00035884263,0.00051575387,0.00052515644,0.00087964896,0.00048737583,0.0010706104,0.00059059024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058738133,0.000017123826,0.0003661445,0.00012497789,0.00001701312,0.00008554437,0.000035028348,0.00017418544,0.98964065,0.0007605811,0.0001373038,0.008582735],"study_design_scores_gemma":[0.000011620243,0.00012456297,0.0020879318,0.00002064464,0.000025447449,0.00047034817,0.000058462494,0.0038105727,0.9843806,0.0011978778,0.0077869752,0.000024986875],"about_ca_topic_score_codex":0.00026901657,"about_ca_topic_score_gemma":0.00040350022,"teacher_disagreement_score":0.0009501278,"about_ca_system_score_codex":0.00035281057,"about_ca_system_score_gemma":0.0001726825,"threshold_uncertainty_score":0.0032970905},"labels":[],"label_agreement":null},{"id":"W1980917742","doi":"10.1586/14789450.2014.965159","title":"Detecting peptidic drugs, drug candidates and analogs in sports doping: current status and future directions","year":2014,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","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":"World Anti-Doping Agency","keywords":"Drug; Human chorionic gonadotropin; Chemistry; Growth hormone; Hormone; Pharmacology; Biochemistry; Biology","score_opus":0.004958487022959357,"score_gpt":0.2650290551067298,"score_spread":0.26007056808377044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980917742","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007911943,0.9933663,0.0010807468,0.0033662848,0.00021614335,0.000011010581,0.00002917554,0.000041157058,0.0010979513],"genre_scores_gemma":[0.009343302,0.9825883,0.0035235435,0.0021983546,0.0010255846,0.000044892135,0.00009150277,0.000010910119,0.0011736047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909496,0.00026711012,0.000106119856,0.00018654887,0.00024461545,0.00010066773],"domain_scores_gemma":[0.99498296,0.0031431871,0.0004790158,0.00010785675,0.0009695164,0.00031738525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059722597,0.00084608514,0.0016399644,0.0012968447,0.00039252097,0.0024561686,0.001406937,0.003296384,0.004755394],"category_scores_gemma":[0.0023659763,0.00041019593,0.00069829857,0.001633009,0.0019281353,0.003783241,0.0010203049,0.0017330429,0.0020772081],"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":[0.00034419846,0.00026772736,0.0013587397,0.0069781397,0.00007658982,0.00012908549,0.00012333399,0.00047369848,0.0032158454,0.003774927,0.011891773,0.97136587],"study_design_scores_gemma":[0.00010732767,0.0017367546,0.0059284326,0.008072904,0.0005129256,0.0017648079,0.0012037721,0.0020563528,0.0056731175,0.017775103,0.95503485,0.00013369584],"about_ca_topic_score_codex":0.0011381166,"about_ca_topic_score_gemma":0.0021483134,"teacher_disagreement_score":0.0059722597,"about_ca_system_score_codex":0.00078204914,"about_ca_system_score_gemma":0.0027355175,"threshold_uncertainty_score":0.03158474},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009793427,0.9945386,0.0009209396,0.0022782215,0.0010409794,0.0000049117357,0.00002121456,0.000020991394,0.0010762179],"genre_scores_gemma":[0.000526995,0.99475855,0.0012104685,0.0017019105,0.00086960156,0.000008036518,0.000032957738,0.0000059477984,0.00088549376],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994574,0.00009952883,0.000054563046,0.000113318594,0.00022455299,0.00005054792],"domain_scores_gemma":[0.99806803,0.0010164513,0.00009627183,0.00006815994,0.00059721473,0.00015400283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031951184,0.0014754484,0.0025343832,0.002306031,0.00052997656,0.002375877,0.0016288287,0.0022670266,0.002900495],"category_scores_gemma":[0.0028362628,0.0005175859,0.0007686005,0.002700186,0.0017017089,0.0048724734,0.0017042112,0.004956172,0.0029230998],"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":[0.000120598284,0.00009930197,0.00015326263,0.013998182,0.0001393015,0.00040928775,0.00008910816,0.000672446,0.0033596212,0.013161573,0.10402752,0.8637698],"study_design_scores_gemma":[0.00002704325,0.00005868065,0.00024773116,0.0018809208,0.00006474829,0.0006959454,0.000059221707,0.00013306293,0.00083748606,0.007934686,0.98803025,0.000030241457],"about_ca_topic_score_codex":0.0014111007,"about_ca_topic_score_gemma":0.0025562723,"teacher_disagreement_score":0.0031951184,"about_ca_system_score_codex":0.001419848,"about_ca_system_score_gemma":0.002252502,"threshold_uncertainty_score":0.016897619},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012509205,0.96223515,0.028359134,0.00047115804,0.0010589599,0.00009797341,0.000106840744,0.00013639488,0.0062834495],"genre_scores_gemma":[0.0056311707,0.9547116,0.03287624,0.0008013703,0.0004976659,0.0001631677,0.00029133982,0.000033620443,0.004993786],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915624,0.00015552374,0.000051633735,0.00019276123,0.00038840293,0.000055333985],"domain_scores_gemma":[0.9995264,0.00018638735,0.00005747996,0.00004856199,0.00015322567,0.000027965849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017615041,0.0017992097,0.0020826575,0.0028209651,0.0004524709,0.0011286605,0.001825512,0.0018664536,0.003629956],"category_scores_gemma":[0.0009921986,0.00086112175,0.0011489021,0.0030099098,0.0010022111,0.0021148378,0.0011708863,0.0033992878,0.007241613],"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":[0.00012639123,0.00021468014,0.00019385357,0.022086022,0.00021636882,0.0006426908,0.00012342428,0.001082114,0.12983836,0.014566755,0.01736809,0.8135412],"study_design_scores_gemma":[0.000058229303,0.0002624234,0.0008309051,0.0011686631,0.0001749319,0.003917889,0.000059812097,0.0008836533,0.06444972,0.005307933,0.9227941,0.00009179488],"about_ca_topic_score_codex":0.00059480895,"about_ca_topic_score_gemma":0.0008861447,"teacher_disagreement_score":0.003629956,"about_ca_system_score_codex":0.00076442276,"about_ca_system_score_gemma":0.00071443233,"threshold_uncertainty_score":0.0121433735},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017652017,0.99684757,0.00042991788,0.00078639475,0.0001937401,0.000003828635,0.000007662481,0.000009305309,0.0015450388],"genre_scores_gemma":[0.0012802094,0.9969722,0.00055624614,0.00034136864,0.00026733582,0.0000044135745,0.0000086235195,0.0000019813128,0.00056757586],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992588,0.00017221404,0.00004816805,0.000098034056,0.0003681105,0.000054736058],"domain_scores_gemma":[0.99931943,0.00034757474,0.00006743173,0.000023218554,0.00018500336,0.00005740775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014516313,0.0009570231,0.0013605212,0.0022031395,0.0005016802,0.0019765056,0.0009426146,0.001999631,0.003222279],"category_scores_gemma":[0.0009825488,0.00040852188,0.0005046473,0.002591831,0.0011893723,0.0022200572,0.0013686157,0.0025674235,0.0031747674],"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":[0.00006789009,0.00010007187,0.00022948554,0.010457033,0.00008935004,0.00036107324,0.00011484003,0.0006802847,0.006382293,0.022631027,0.020789957,0.9380967],"study_design_scores_gemma":[0.0000127143185,0.00013624306,0.000686367,0.0016297662,0.00005762785,0.0017520786,0.000091593305,0.00028726566,0.0028196182,0.010305018,0.98218256,0.000039135786],"about_ca_topic_score_codex":0.0011314102,"about_ca_topic_score_gemma":0.0011662234,"teacher_disagreement_score":0.003222279,"about_ca_system_score_codex":0.0013572599,"about_ca_system_score_gemma":0.0016210797,"threshold_uncertainty_score":0.010779619},"labels":[],"label_agreement":null},{"id":"W1996988499","doi":"10.1586/epr.12.8","title":"Optimal selection of 2D reversed-phase–reversed-phase HPLC separation techniques in bottom-up proteomics","year":2012,"lang":"en","type":"letter","venue":"Expert Review of Proteomics","topic":"Analytical Chemistry and Chromatography","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 Manitoba","funders":"","keywords":"Chromatography; Selection (genetic algorithm); Proteomics; Phase (matter); High-performance liquid chromatography; Reversed-phase chromatography; Chemistry; Computer science; Artificial intelligence; Biochemistry; Gene","score_opus":0.018116779557638206,"score_gpt":0.34297622918714005,"score_spread":0.32485944962950186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996988499","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09172224,0.50381505,0.25596812,0.091500916,0.0219213,0.0011467104,0.0009082739,0.0017275192,0.031289924],"genre_scores_gemma":[0.32226178,0.28496596,0.29809818,0.053598613,0.015753748,0.0012953422,0.0016813881,0.0005823356,0.021762652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973214,0.00070549664,0.00016499094,0.00041675105,0.0012179071,0.00017346464],"domain_scores_gemma":[0.9987539,0.00053612824,0.00013411531,0.00009805744,0.00041777059,0.00006004063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025684738,0.0012336588,0.0011720725,0.0007499558,0.00046063645,0.0017041366,0.0009298765,0.0025426236,0.0018143273],"category_scores_gemma":[0.0027816829,0.00052478764,0.0004628872,0.00078194414,0.0009274773,0.0016436091,0.00059500965,0.0026151277,0.0037895578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007309926,0.00038157386,0.0015128183,0.0033187298,0.000084653315,0.003942452,0.00015256995,0.00081736845,0.56479275,0.0056033516,0.050888553,0.3677742],"study_design_scores_gemma":[0.00032135722,0.00087212323,0.0041777184,0.00032790803,0.0001299885,0.017501067,0.00011711786,0.010159324,0.618003,0.0068684313,0.34132904,0.00019296986],"about_ca_topic_score_codex":0.00022055903,"about_ca_topic_score_gemma":0.0007393869,"teacher_disagreement_score":0.0025684738,"about_ca_system_score_codex":0.0012795889,"about_ca_system_score_gemma":0.00070818176,"threshold_uncertainty_score":0.013583541},"labels":[],"label_agreement":null},{"id":"W2008515218","doi":"10.1586/epr.09.44","title":"Analysis of the plasma metalloproteome by SEC–ICP-AES: bridging proteomics and metabolomics","year":2009,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Mass Spectrometry 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 Calgary","funders":"Centers for Disease Control and Prevention","keywords":"Chemistry; Proteomics; Context (archaeology); Inductively coupled plasma atomic emission spectroscopy; Blood proteins; Inductively coupled plasma; Mass spectrometry; Metalloprotein; Chromatography; Human blood; Plasma; Biochemistry; Enzyme; Biology; Physiology","score_opus":0.018628892607449946,"score_gpt":0.32063767275820143,"score_spread":0.3020087801507515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008515218","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011064549,0.98740166,0.0077086,0.0005838225,0.00028751921,0.000022198607,0.00003420093,0.000060209506,0.0027953386],"genre_scores_gemma":[0.003991759,0.9833856,0.00954376,0.00028413683,0.00025707865,0.00003339686,0.00008280809,0.000009885546,0.0024115762],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959165,0.000064556574,0.000025937556,0.0000758082,0.00020987503,0.00003213762],"domain_scores_gemma":[0.99973804,0.000079500394,0.000040696978,0.0000147975525,0.00010011499,0.000026921849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012035009,0.0015695579,0.0020108358,0.0026329332,0.00029199937,0.00083761977,0.0013375094,0.0013452221,0.0014441905],"category_scores_gemma":[0.00044909513,0.0005730087,0.00046417452,0.0026749223,0.00073544146,0.0016107376,0.0007266862,0.0015136373,0.0036753],"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":[0.00007305242,0.00012558652,0.00033098907,0.010231347,0.000107259126,0.0004368881,0.00005462854,0.0006191252,0.07543721,0.003967016,0.010413981,0.898203],"study_design_scores_gemma":[0.00003168216,0.0002842638,0.0025912994,0.000956723,0.000106909036,0.004493036,0.00012772076,0.0013080364,0.06625469,0.0059531713,0.9178246,0.00006784913],"about_ca_topic_score_codex":0.000655117,"about_ca_topic_score_gemma":0.0010652838,"teacher_disagreement_score":0.0026329332,"about_ca_system_score_codex":0.0007341971,"about_ca_system_score_gemma":0.0008122927,"threshold_uncertainty_score":0.0063648224},"labels":[],"label_agreement":null},{"id":"W2022906936","doi":"10.1586/14789450.5.4.549","title":"The 8th International Conference of the Canadian Proteomics Initiative","year":2008,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","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 Victoria","funders":"","keywords":"Proteomics; Genomics; Library science; Quantitative proteomics; Proteogenomics; Data science; Political science; Biology; Genome; Computer science; Genetics","score_opus":0.04695661387313287,"score_gpt":0.32270493287286844,"score_spread":0.27574831899973556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022906936","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033416096,0.15645252,0.005126238,0.33185926,0.16064616,0.00060339,0.0032020188,0.0007281397,0.33804068],"genre_scores_gemma":[0.026969368,0.07848329,0.006562152,0.046664204,0.01692432,0.00032835585,0.0045071044,0.0004512035,0.8191099],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909326,0.00058344286,0.00019389897,0.00068487984,0.0056532053,0.0019520768],"domain_scores_gemma":[0.9887455,0.00019369497,0.00018932481,0.00019424048,0.006028358,0.0046489346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009541785,0.001733542,0.00096977456,0.0038532913,0.0061759534,0.011697656,0.0027888862,0.0043425676,0.049986526],"category_scores_gemma":[0.0060606124,0.0005996242,0.00092071353,0.0035076265,0.002373288,0.002563218,0.0041792365,0.0054167532,0.014651898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030699044,0.000021795782,0.00018501148,0.00009955411,0.000005668709,0.00006355605,0.00012248178,0.000034345478,0.00043775662,0.004339053,0.96414363,0.030516414],"study_design_scores_gemma":[0.0000021102667,0.000003179411,0.00034478016,0.000036490193,0.00000155221,0.000023608964,0.000099735094,0.000013097528,0.000066799585,0.00024878135,0.9991543,0.0000054478264],"about_ca_topic_score_codex":0.46850798,"about_ca_topic_score_gemma":0.6138305,"teacher_disagreement_score":0.96264184,"about_ca_system_score_codex":0.037358172,"about_ca_system_score_gemma":0.114092916,"threshold_uncertainty_score":0.9315619},"labels":[],"label_agreement":null},{"id":"W2030558210","doi":"10.1586/14789450.2015.987756","title":"Clinical implications of glycoproteomics for<i>Acinetobacter baumannii</i>","year":2014,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","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 British Columbia; University of Alberta","funders":"","keywords":"Acinetobacter baumannii; Glycoproteomics; Glycan; Antimicrobial; Microbiology; Glycosylation; Biology; Computational biology; Glycoprotein; Bacteria; Biochemistry; Pseudomonas aeruginosa; Genetics","score_opus":0.015716432850165583,"score_gpt":0.3655982419123971,"score_spread":0.3498818090622315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030558210","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014736474,0.0397355,0.0003693626,0.06317191,0.8948787,0.000024372028,0.000052955118,0.0000705707,0.0015492565],"genre_scores_gemma":[0.001088509,0.037053727,0.00034408472,0.041843284,0.911707,0.000029901112,0.000045522673,0.0000381014,0.007849883],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997259,0.00042732764,0.00038176155,0.00039072998,0.0013513006,0.00018983829],"domain_scores_gemma":[0.99064225,0.0033031984,0.00065220025,0.00023380603,0.0039243107,0.0012442658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049846885,0.0024281752,0.0018292721,0.0022616228,0.001478494,0.00424523,0.0023282852,0.010491789,0.005603685],"category_scores_gemma":[0.01210988,0.0006726669,0.0018881821,0.00110113,0.002075805,0.0035049452,0.0013138622,0.012305798,0.0039362],"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":[0.00006273856,0.00002166368,0.000061782564,0.00064140884,0.000025655816,0.00025202034,0.000022340319,0.000049104357,0.00033676546,0.00053057977,0.9738163,0.024179813],"study_design_scores_gemma":[0.000043216736,0.000055462715,0.00035507057,0.0005307749,0.000051681604,0.00069812004,0.000034996516,0.00013717248,0.00033368522,0.000948971,0.99678695,0.00002386027],"about_ca_topic_score_codex":0.00092906185,"about_ca_topic_score_gemma":0.0020959307,"teacher_disagreement_score":0.010491789,"about_ca_system_score_codex":0.0030077642,"about_ca_system_score_gemma":0.002197554,"threshold_uncertainty_score":0.026361883},"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":"editorial","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007464457,0.40000343,0.0016305124,0.058526214,0.45863158,0.00042755803,0.0019972485,0.00021826084,0.07781887],"genre_scores_gemma":[0.0063309586,0.4366804,0.0019946424,0.039083567,0.19946274,0.0007684306,0.0050557735,0.00026844966,0.31035504],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986094,0.0002207918,0.00013691897,0.00017019069,0.0007032425,0.00015944982],"domain_scores_gemma":[0.9979752,0.00022903536,0.00016349339,0.00006647237,0.0009577281,0.00060813903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002229572,0.0014977511,0.0008779671,0.0032918388,0.0014118623,0.0042980183,0.0016357681,0.0035358747,0.042544954],"category_scores_gemma":[0.0032113744,0.0004525701,0.00089761766,0.003052131,0.0004776808,0.0017005192,0.0017166818,0.0033957553,0.027650874],"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":[0.000056163837,0.000031580803,0.00006022409,0.0006655195,0.0000046357177,0.000074609634,0.000022599721,0.000102692014,0.00036783,0.0010296563,0.9579411,0.039643478],"study_design_scores_gemma":[0.000002921957,0.000013103735,0.00020635969,0.00022595483,0.0000018999363,0.00006414086,0.000014271146,0.000012843708,0.00006781723,0.000176137,0.9992094,0.000005071021],"about_ca_topic_score_codex":0.004399372,"about_ca_topic_score_gemma":0.007836864,"teacher_disagreement_score":0.042544954,"about_ca_system_score_codex":0.0033498567,"about_ca_system_score_gemma":0.003693925,"threshold_uncertainty_score":0.14232707},"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":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003958977,0.23932342,0.0063151065,0.052859254,0.697536,0.00008672508,0.00015830735,0.0003567149,0.00296859],"genre_scores_gemma":[0.0030543567,0.28795958,0.007433095,0.056406382,0.6208852,0.00012702138,0.00029550964,0.00020946741,0.023629436],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959103,0.0007109596,0.00066850224,0.0005946281,0.001941363,0.00017422649],"domain_scores_gemma":[0.990724,0.0027071275,0.0006318217,0.00025764017,0.004951227,0.0007280827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00772654,0.002886751,0.0025364573,0.0018141399,0.00089742866,0.0034367484,0.0034632394,0.0080738785,0.0027265032],"category_scores_gemma":[0.008636368,0.001358738,0.0016444253,0.0013397799,0.002213814,0.0039763525,0.0015366641,0.01681323,0.007036677],"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":[0.00018405926,0.00005766082,0.00007198378,0.0018915626,0.00013001516,0.00043362513,0.00003103161,0.00021057446,0.0046731536,0.0021323909,0.88646173,0.10372221],"study_design_scores_gemma":[0.00007790959,0.0000896209,0.00023547132,0.00041540829,0.000074632466,0.0009692673,0.000014152498,0.00044888532,0.0026517697,0.0018801872,0.99309033,0.000052373813],"about_ca_topic_score_codex":0.00069059344,"about_ca_topic_score_gemma":0.0015140531,"teacher_disagreement_score":0.0080738785,"about_ca_system_score_codex":0.0017286595,"about_ca_system_score_gemma":0.0023195788,"threshold_uncertainty_score":0.04086232},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016995727,0.9603027,0.028847376,0.0010303078,0.0010057816,0.00011357411,0.00028730865,0.00015638796,0.006557081],"genre_scores_gemma":[0.008268203,0.9613038,0.023763042,0.0008694852,0.0004239996,0.00014623195,0.00050455943,0.000044235418,0.0046765115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862695,0.0002814902,0.00008398092,0.00029153816,0.000636129,0.00007992222],"domain_scores_gemma":[0.9992029,0.0002616814,0.00012622352,0.000054564553,0.00031659586,0.000038013088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002923782,0.0018116618,0.0019062662,0.003145061,0.00037418155,0.0012852069,0.001373768,0.0016638847,0.002218696],"category_scores_gemma":[0.0016907349,0.00062152074,0.00085304695,0.0024989888,0.0007660084,0.0016596066,0.0010976619,0.0020304662,0.0048060953],"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":[0.0001264156,0.00016841874,0.0007764141,0.019072684,0.00027337688,0.00043190343,0.00008338899,0.00077847455,0.11176069,0.009576094,0.024786726,0.8321654],"study_design_scores_gemma":[0.000027341828,0.00027522197,0.0018557537,0.0023069868,0.0002090227,0.0028449749,0.000097653,0.0014562249,0.08934453,0.0051748003,0.89630765,0.00009981625],"about_ca_topic_score_codex":0.0006718378,"about_ca_topic_score_gemma":0.0010210051,"teacher_disagreement_score":0.003145061,"about_ca_system_score_codex":0.00076287054,"about_ca_system_score_gemma":0.0012571382,"threshold_uncertainty_score":0.015462637},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075975545,0.8594482,0.10781811,0.0008698091,0.001227594,0.0003141785,0.000554461,0.00070412754,0.021465916],"genre_scores_gemma":[0.027233496,0.87850195,0.07690824,0.0010489242,0.000472309,0.0003339249,0.001335357,0.00011707544,0.014048637],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930596,0.0000750491,0.00003745478,0.00016659233,0.00036479745,0.00005025419],"domain_scores_gemma":[0.9997985,0.00004049679,0.000036526224,0.000018819634,0.000086533335,0.000019215815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093036523,0.001426715,0.001447377,0.0018180998,0.00036424698,0.0010785065,0.0013666429,0.0009669247,0.0017159351],"category_scores_gemma":[0.0004349169,0.00051688706,0.00054007745,0.0014513645,0.0005856904,0.001732637,0.0009847555,0.0016771868,0.0050780657],"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":[0.00011591722,0.00012470364,0.00023772445,0.010891277,0.00010983533,0.000613848,0.00010166917,0.00054440065,0.4998974,0.012031913,0.014107511,0.4612239],"study_design_scores_gemma":[0.000016950604,0.00016992466,0.0008428161,0.0004639972,0.00008030884,0.003055083,0.000060647704,0.0006845424,0.21159205,0.0043633855,0.77861476,0.000055556415],"about_ca_topic_score_codex":0.00036885063,"about_ca_topic_score_gemma":0.00046685606,"teacher_disagreement_score":0.0018180998,"about_ca_system_score_codex":0.00058559823,"about_ca_system_score_gemma":0.00059693155,"threshold_uncertainty_score":0.0057403445},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025603117,0.99608326,0.0011169867,0.0011102408,0.00031334968,0.0000080244145,0.00001153085,0.000019240833,0.0010812337],"genre_scores_gemma":[0.001240994,0.9956564,0.0014657729,0.00048369236,0.00033246574,0.000009755538,0.000020189822,0.0000027633596,0.00078806165],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995732,0.00009682346,0.000036023735,0.00005953805,0.00019765063,0.000036753056],"domain_scores_gemma":[0.9994442,0.00021270047,0.00006767905,0.000022700366,0.00019215173,0.000060580616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015658156,0.0008804116,0.0016473738,0.0019974264,0.00034499724,0.0013291523,0.001054363,0.0017967075,0.002148346],"category_scores_gemma":[0.0010818745,0.00037238433,0.00044832137,0.002212981,0.00075427303,0.002076464,0.0007712429,0.0020850245,0.0030065104],"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":[0.000090472684,0.00011139681,0.00024296544,0.00825806,0.00008201393,0.00032713875,0.000059157544,0.0005620484,0.008981727,0.008770081,0.023539709,0.9489753],"study_design_scores_gemma":[0.00003507992,0.00019429618,0.0010371658,0.0014168666,0.00006620083,0.0018939184,0.000105835854,0.00047209024,0.004110766,0.0084025655,0.9822275,0.00003755649],"about_ca_topic_score_codex":0.00068064744,"about_ca_topic_score_gemma":0.0009329501,"teacher_disagreement_score":0.002148346,"about_ca_system_score_codex":0.0009099277,"about_ca_system_score_gemma":0.0012812171,"threshold_uncertainty_score":0.008280933},"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":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006652216,0.058139797,0.0005486161,0.041498207,0.8985638,0.00002817284,0.00005350913,0.0001101171,0.0009912472],"genre_scores_gemma":[0.0007300539,0.073240384,0.00066934084,0.047168292,0.8690943,0.00004182106,0.000066902176,0.000046254187,0.008942629],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963766,0.00072752236,0.00060797844,0.00037356082,0.0017544739,0.0001598714],"domain_scores_gemma":[0.98628753,0.0053020264,0.00073580147,0.0003315145,0.0058367755,0.001506407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008369215,0.0043330016,0.004254205,0.002492403,0.0015865738,0.0042608194,0.003915891,0.014026379,0.0046157395],"category_scores_gemma":[0.013325367,0.0010766509,0.00240867,0.001357267,0.0029144126,0.0048145275,0.0012973733,0.023831945,0.007139053],"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":[0.000084107734,0.000019653033,0.000034861172,0.00058128394,0.0000571325,0.00012895848,0.000015927959,0.00003153135,0.00025531297,0.0006683662,0.97873586,0.019386929],"study_design_scores_gemma":[0.00010981361,0.000103088554,0.00033449815,0.00050520524,0.000111524,0.00049326645,0.00003930464,0.00014133479,0.0003747338,0.0016823305,0.99607193,0.00003294647],"about_ca_topic_score_codex":0.0009446042,"about_ca_topic_score_gemma":0.0028773588,"teacher_disagreement_score":0.014026379,"about_ca_system_score_codex":0.0016306806,"about_ca_system_score_gemma":0.0017916757,"threshold_uncertainty_score":0.044261217},"labels":[],"label_agreement":null},{"id":"W2066452988","doi":"10.1586/14789450.2.6.891","title":"Emerging challenges in ligand discovery: new opportunities for chromatographic assay","year":2005,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","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":"Drug discovery; Function (biology); Ligand (biochemistry); Computational biology; Small molecule; False discovery rate; Chromatography; Data science; Chemistry; Computer science; Nanotechnology; Biology; Biochemistry; Materials science; Receptor","score_opus":0.23757036455344785,"score_gpt":0.4434574008996733,"score_spread":0.20588703634622543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066452988","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034219475,0.9810144,0.010630453,0.0039974526,0.0005725335,0.000019451989,0.000023705612,0.000084825326,0.003315026],"genre_scores_gemma":[0.0027739615,0.9793088,0.011086473,0.0029943318,0.0010240253,0.000048356836,0.000055137665,0.000021338385,0.0026876505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979729,0.0005388341,0.00011618582,0.00023735611,0.0010257779,0.00010890255],"domain_scores_gemma":[0.9978492,0.0012522476,0.00014830803,0.00012853414,0.0004607899,0.0001608558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00546204,0.0014657764,0.0032664742,0.0033890603,0.0006899481,0.0033775128,0.0026630384,0.003550901,0.0037278912],"category_scores_gemma":[0.0027242764,0.0007898336,0.0010528574,0.0034873178,0.0034710302,0.0071739163,0.0016892883,0.0056112306,0.005451454],"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":[0.0001203139,0.00020355346,0.0002835433,0.00859987,0.0001181831,0.0005264669,0.00018654212,0.0012860412,0.011493678,0.06489375,0.04421043,0.8680776],"study_design_scores_gemma":[0.000040924962,0.00020957286,0.0002860271,0.00097372866,0.00004784047,0.0017100215,0.00017726475,0.00072447996,0.0030970662,0.025157927,0.9675071,0.0000679845],"about_ca_topic_score_codex":0.0013278802,"about_ca_topic_score_gemma":0.0015608104,"teacher_disagreement_score":0.00546204,"about_ca_system_score_codex":0.002194543,"about_ca_system_score_gemma":0.002005532,"threshold_uncertainty_score":0.028886378},"labels":[],"label_agreement":null},{"id":"W2067612033","doi":"10.1586/14789450.2.4.475","title":"Mass spectrometry-based approaches to protein–ligand interactions","year":2005,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Mass Spectrometry 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":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computational biology; Proteomics; Mass spectrometry; Computer science; Data science; Protein–protein interaction; Chemistry; Biochemical engineering; Biology; Biochemistry; Engineering; Chromatography","score_opus":0.09500694464953321,"score_gpt":0.36169125278863146,"score_spread":0.26668430813909827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067612033","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004291447,0.80001795,0.16355635,0.0016949481,0.0017229001,0.0003500321,0.00048061626,0.0008408869,0.027044913],"genre_scores_gemma":[0.02234329,0.82906574,0.12361322,0.00197023,0.0009492298,0.0005671755,0.0006415941,0.000091001646,0.020758538],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869424,0.00019704773,0.000054571945,0.00027778116,0.0007095859,0.00006691902],"domain_scores_gemma":[0.9997191,0.00009530263,0.00004097352,0.000027096232,0.00009805789,0.000019406716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014343897,0.0021423693,0.0019678962,0.0032605133,0.00066166435,0.0014431725,0.0026708383,0.0016064063,0.0037880947],"category_scores_gemma":[0.0008101869,0.00074060017,0.00082235504,0.0028124938,0.0010706843,0.0020406719,0.0015770526,0.0029553191,0.006716134],"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":[0.00017143646,0.00020997944,0.00034580065,0.0112813255,0.00030690205,0.00082901027,0.00021742472,0.0013100582,0.34822297,0.03376756,0.024459844,0.57887775],"study_design_scores_gemma":[0.000039586543,0.00029560988,0.001050079,0.00054214016,0.0001238499,0.0031593533,0.00010331796,0.0025285708,0.20473567,0.010637395,0.7766623,0.00012213204],"about_ca_topic_score_codex":0.0007964499,"about_ca_topic_score_gemma":0.0012335047,"teacher_disagreement_score":0.0037880947,"about_ca_system_score_codex":0.0011223701,"about_ca_system_score_gemma":0.0008100951,"threshold_uncertainty_score":0.012672424},"labels":[],"label_agreement":null},{"id":"W2085429475","doi":"10.1586/epr.10.90","title":"At the crossroads of ubiquitin signaling and mass spectrometry","year":2010,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"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 Center for Research Resources; National Institutes of Health","keywords":"Ubiquitin; Proteomics; Proteasome; Protein degradation; Computational biology; Signal transduction; Posttranslational modification; Chemistry; Cell biology; Biology; Biochemistry; Enzyme","score_opus":0.010417611247437222,"score_gpt":0.2822348572220856,"score_spread":0.27181724597464835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085429475","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024822317,0.41947517,0.4259788,0.0706263,0.008897547,0.00019480877,0.0005554764,0.0032127865,0.04623677],"genre_scores_gemma":[0.20381968,0.30631456,0.41787106,0.027651552,0.011433609,0.00029132923,0.0010755262,0.0007663179,0.030776413],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99502736,0.0012429629,0.00017181906,0.000706274,0.0025063322,0.00034512804],"domain_scores_gemma":[0.99589336,0.0016425407,0.00033060744,0.00045895437,0.0011773818,0.0004971651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008944813,0.0008156426,0.0017716341,0.002877909,0.0012934462,0.004841275,0.002101564,0.00343585,0.0032220553],"category_scores_gemma":[0.0060960306,0.0008148177,0.0005655319,0.0022100296,0.0034606352,0.007489579,0.004066042,0.0057585235,0.004044897],"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":[0.00058022136,0.00026101022,0.004086467,0.0026011714,0.00039176445,0.0012403177,0.0007066504,0.0015160653,0.26532146,0.25669596,0.07035593,0.3962429],"study_design_scores_gemma":[0.00007058698,0.00035317242,0.0064718807,0.0011034397,0.000097263364,0.0056434507,0.0007228299,0.0077947346,0.12496495,0.32044026,0.53209955,0.00023803598],"about_ca_topic_score_codex":0.0006331206,"about_ca_topic_score_gemma":0.0008289922,"teacher_disagreement_score":0.008944813,"about_ca_system_score_codex":0.0013854727,"about_ca_system_score_gemma":0.0014942517,"threshold_uncertainty_score":0.047305226},"labels":[],"label_agreement":null},{"id":"W2088892403","doi":"10.1586/14789450.2.5.705","title":"Regulation of gene expression: probing DNA–protein interactions<i>in vivo</i>and<i>in vitro</i>","year":2005,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","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":"Centre hospitalier de l'Université Laval","funders":"","keywords":"Biology; Computational biology; Gene silencing; Gene; Regulation of gene expression; Genetics; Transcription factor; Cell biology","score_opus":0.01920256992181555,"score_gpt":0.3391287949335203,"score_spread":0.3199262250117047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088892403","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002086937,0.9787209,0.011324157,0.0006448637,0.00040204922,0.000014061712,0.00007529273,0.00007724065,0.00665445],"genre_scores_gemma":[0.010000454,0.9766052,0.008809451,0.0005548855,0.000259502,0.000039440536,0.000095088646,0.000015530717,0.0036203358],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996518,0.00007336254,0.00002127685,0.000088125016,0.00014198093,0.000023517343],"domain_scores_gemma":[0.9997998,0.00010555417,0.000030479605,0.000015672776,0.000038546958,0.000010016468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005557132,0.0007756219,0.0014662461,0.0011074133,0.0002048914,0.00065423845,0.0009810895,0.0011240446,0.0011478339],"category_scores_gemma":[0.00032184867,0.00032600504,0.0004634806,0.0015117365,0.000901269,0.0011895507,0.00034010495,0.0012662382,0.0027397585],"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":[0.00010673818,0.000088035966,0.00048981333,0.010193324,0.000084907384,0.0004026803,0.00018606153,0.0010607004,0.3598604,0.014011093,0.009708243,0.6038081],"study_design_scores_gemma":[0.000020534122,0.00025522383,0.0022033828,0.000845921,0.000081701575,0.0025138643,0.00021444891,0.0009329522,0.1871771,0.0072649424,0.7984217,0.000068242356],"about_ca_topic_score_codex":0.0006492145,"about_ca_topic_score_gemma":0.0009027296,"teacher_disagreement_score":0.0014662461,"about_ca_system_score_codex":0.00078136724,"about_ca_system_score_gemma":0.00041080295,"threshold_uncertainty_score":0.005669296},"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":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053743128,0.14910808,0.728347,0.012207326,0.003680555,0.0002930279,0.0025269126,0.0034144633,0.046679527],"genre_scores_gemma":[0.2374426,0.08795227,0.64193624,0.0040974077,0.0024780752,0.0007339014,0.0041925316,0.0007420579,0.020424828],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988532,0.0002813921,0.00005792838,0.00027660103,0.00043186493,0.00009902616],"domain_scores_gemma":[0.9988445,0.0002502989,0.000121185985,0.00021500127,0.000424454,0.00014446319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001987548,0.0014243238,0.0009722919,0.0023603083,0.0005390502,0.002442026,0.0011352716,0.0012471237,0.0058569782],"category_scores_gemma":[0.001953166,0.0006999376,0.00080163585,0.001783915,0.0010219363,0.0023962623,0.003823737,0.002237047,0.0028767267],"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":[0.0003875401,0.00018801517,0.002193557,0.0014260564,0.00028801238,0.0004133154,0.0003294072,0.0037472246,0.5009939,0.06953568,0.02911109,0.3913862],"study_design_scores_gemma":[0.00009902084,0.00073559565,0.0056408225,0.0006526974,0.00024239978,0.0035166403,0.000396832,0.047686208,0.32628712,0.09077796,0.5236228,0.00034185022],"about_ca_topic_score_codex":0.00039824992,"about_ca_topic_score_gemma":0.0006379821,"teacher_disagreement_score":0.0058569782,"about_ca_system_score_codex":0.0008516139,"about_ca_system_score_gemma":0.0006810715,"threshold_uncertainty_score":0.019593596},"labels":[],"label_agreement":null},{"id":"W2104759881","doi":"10.1586/epr.12.45","title":"Utility of kinetic capillary electrophoresis-mass spectrometry to study protein dynamics and affinity interactions","year":2012,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","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":"Mass spectrometry; Chemistry; Capillary electrophoresis; Chromatography; Affinity electrophoresis; Proteomics; Kinetic energy; Affinity chromatography; Biochemistry; Enzyme; Physics","score_opus":0.006298350417121094,"score_gpt":0.2929413545772008,"score_spread":0.2866430041600797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104759881","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022456316,0.023524817,0.002061764,0.03578949,0.93657947,0.000043196917,0.000088195346,0.00017778848,0.0015107964],"genre_scores_gemma":[0.0024644153,0.023141349,0.0020963815,0.030954069,0.92649615,0.00007338649,0.000080066005,0.00010837166,0.014585869],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99561584,0.00058910664,0.000661402,0.00060835667,0.0022939881,0.00023128654],"domain_scores_gemma":[0.9838214,0.0063712993,0.0009560855,0.0004928277,0.007086141,0.001272312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00872371,0.004094203,0.0027129995,0.0027184968,0.0012551574,0.0049065626,0.004550717,0.012114662,0.0029995206],"category_scores_gemma":[0.013750428,0.0012173118,0.0022360277,0.0009340352,0.002818163,0.0035607948,0.001406452,0.022029577,0.0042417743],"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":[0.000144594,0.0000406942,0.000081151346,0.0006511028,0.00007979757,0.00036275137,0.000023606233,0.00007774676,0.0017601494,0.0017133036,0.96565497,0.029410126],"study_design_scores_gemma":[0.00012411653,0.00009597433,0.0005489366,0.00023545993,0.00012859795,0.001164101,0.000027870574,0.00067681784,0.0029921886,0.0017908936,0.9921572,0.000057797766],"about_ca_topic_score_codex":0.00072325533,"about_ca_topic_score_gemma":0.0017523259,"teacher_disagreement_score":0.012114662,"about_ca_system_score_codex":0.0021578572,"about_ca_system_score_gemma":0.0018046527,"threshold_uncertainty_score":0.046135902},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010047833,0.9882436,0.007071544,0.00062462,0.0003100243,0.000027954547,0.00004700259,0.000056702327,0.00261386],"genre_scores_gemma":[0.0067006694,0.9830767,0.0068029803,0.0006955242,0.00034764866,0.00004184435,0.00009385834,0.000015320886,0.0022254765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899274,0.00020132418,0.0000570697,0.00021892914,0.0004679936,0.00006196896],"domain_scores_gemma":[0.9991849,0.00036216868,0.00012816675,0.00003861307,0.00023947991,0.000046584784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023076225,0.0013719597,0.0014950664,0.0027851334,0.00031142918,0.0011472879,0.0010374996,0.0015159582,0.0017350898],"category_scores_gemma":[0.0015972385,0.0004995386,0.00084567367,0.0023346303,0.0009796759,0.001672235,0.0011427385,0.0019936382,0.002447019],"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":[0.00013394836,0.00011136694,0.0006581779,0.013767093,0.00017779526,0.0006229183,0.00011404762,0.0009125133,0.061829034,0.007789725,0.015544618,0.89833885],"study_design_scores_gemma":[0.000022837881,0.00037176762,0.0017628723,0.0015803967,0.00016424249,0.004530994,0.00010844279,0.001474895,0.050274897,0.0052181766,0.9343845,0.000105843676],"about_ca_topic_score_codex":0.00073529145,"about_ca_topic_score_gemma":0.0009821029,"teacher_disagreement_score":0.0027851334,"about_ca_system_score_codex":0.00066865585,"about_ca_system_score_gemma":0.00089755445,"threshold_uncertainty_score":0.012204051},"labels":[],"label_agreement":null},{"id":"W2111720284","doi":"10.1586/epr.10.111","title":"Understanding and optimizing electrospray ionization techniques for proteomic analysis","year":2011,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Mass Spectrometry 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":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Electrospray ionization; Analyte; Chromatography; Mass spectrometry; Electrospray; Desorption electrospray ionization; Chemistry; Capillary electrophoresis; Capillary electrophoresis–mass spectrometry; Ionization; Direct electron ionization liquid chromatography–mass spectrometry interface; Extractive electrospray ionization; Analytical Chemistry (journal); Protein mass spectrometry; Chemical ionization; Ion","score_opus":0.08736802462939626,"score_gpt":0.3641589373116663,"score_spread":0.2767909126822701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111720284","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002403909,0.88893694,0.09769655,0.0014850235,0.0008508593,0.0001730566,0.00014813388,0.00028254124,0.008022994],"genre_scores_gemma":[0.00503627,0.9140061,0.076279655,0.000707401,0.0005473045,0.00015665733,0.00021253787,0.000053531854,0.0030005034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870527,0.00019740632,0.000110529705,0.0002329978,0.0006987408,0.000055155833],"domain_scores_gemma":[0.9994161,0.00019934302,0.00007443927,0.00003479866,0.00024822223,0.000027176253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025472923,0.0017135466,0.0012690532,0.0020793343,0.00031882618,0.0013024266,0.0017660309,0.0016007317,0.0014171293],"category_scores_gemma":[0.0015600823,0.00068681326,0.00060468714,0.0025637408,0.00081725884,0.0030083405,0.0011034496,0.0025455023,0.0034852638],"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":[0.00006471507,0.000116553696,0.00032533272,0.012648925,0.00013060542,0.00048195972,0.00010812907,0.0021950905,0.1410905,0.015689163,0.015519103,0.8116301],"study_design_scores_gemma":[0.000026201387,0.00022037525,0.00093428115,0.0013930355,0.00008621841,0.002494212,0.000073230985,0.002691343,0.085188165,0.012782586,0.8940095,0.00010086955],"about_ca_topic_score_codex":0.0004737595,"about_ca_topic_score_gemma":0.0006419763,"teacher_disagreement_score":0.0025472923,"about_ca_system_score_codex":0.00074495055,"about_ca_system_score_gemma":0.0010224656,"threshold_uncertainty_score":0.013471544},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036602726,0.99479747,0.0025084503,0.0008739397,0.00020678854,0.000008180338,0.0000152500215,0.00003238294,0.001191453],"genre_scores_gemma":[0.0016595842,0.991339,0.005067575,0.000441545,0.00021208284,0.000016600588,0.00005087023,0.0000065333275,0.001206124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993075,0.00013021297,0.00006620708,0.00010918108,0.00033955957,0.0000473047],"domain_scores_gemma":[0.9991315,0.0003435128,0.00012450611,0.00003791667,0.00026837492,0.00009423443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024202839,0.0012972987,0.0019117465,0.0021759535,0.00043257084,0.002169888,0.0019115818,0.0017992775,0.0029602014],"category_scores_gemma":[0.0010509293,0.00040087602,0.0005799751,0.0032512932,0.0009181801,0.0033331458,0.0011410535,0.0017774724,0.0044101616],"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":[0.00008651984,0.0001490678,0.00034648392,0.007123064,0.000054826844,0.00020884209,0.00006528258,0.00045120672,0.009241981,0.0064023077,0.014863448,0.9610069],"study_design_scores_gemma":[0.000034698536,0.00025033316,0.0012677615,0.0016488644,0.00007701482,0.0029507682,0.00018413119,0.001073026,0.008075161,0.008585478,0.975784,0.00006871824],"about_ca_topic_score_codex":0.0007245026,"about_ca_topic_score_gemma":0.0008048575,"teacher_disagreement_score":0.0029602014,"about_ca_system_score_codex":0.00096407253,"about_ca_system_score_gemma":0.0011156385,"threshold_uncertainty_score":0.012799859},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07882773,0.021677963,0.8725619,0.0013631326,0.0016182407,0.0027392113,0.0053916285,0.0035144005,0.012305844],"genre_scores_gemma":[0.13778031,0.02831758,0.8072743,0.0015028721,0.0004919771,0.002467956,0.012652954,0.00066371984,0.008848417],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995765,0.00005670473,0.00003886351,0.00009226742,0.00018698422,0.00004866099],"domain_scores_gemma":[0.9997621,0.0000628975,0.000023498931,0.000045266443,0.00007953386,0.000026747093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072248344,0.0012990698,0.0013480457,0.0013386798,0.0006661904,0.00090418785,0.000725752,0.0009534695,0.001837347],"category_scores_gemma":[0.00077390467,0.00041217564,0.00077199325,0.001092512,0.00038071568,0.0008363661,0.000775541,0.0018786407,0.0061071897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003615576,0.000040518487,0.00014616588,0.00022940319,0.000018457911,0.00010524662,0.000023426477,0.00009763526,0.9823959,0.00064848136,0.00082425226,0.015434266],"study_design_scores_gemma":[0.00003406188,0.00020395966,0.0022252023,0.000070127186,0.000049110604,0.0007488709,0.000048681046,0.003553097,0.9369498,0.002099286,0.053985313,0.000032496522],"about_ca_topic_score_codex":0.00031193465,"about_ca_topic_score_gemma":0.0005734452,"teacher_disagreement_score":0.001837347,"about_ca_system_score_codex":0.00026142824,"about_ca_system_score_gemma":0.00055114535,"threshold_uncertainty_score":0.00614655},"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":"W2137123414","doi":"10.1586/epr.11.76","title":"A proteomic interrogation of<i>Cryptococcus neoformans</i>: interaction networks for calcineurin in a heated environment","year":2012,"lang":"en","type":"letter","venue":"Expert Review of Proteomics","topic":"Fungal Infections and Studies","field":"Medicine","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":"Calcineurin; Cryptococcus neoformans; Endoplasmic reticulum; Biology; COPII; Golgi apparatus; Cell biology; COPI; Protein subunit; Unfolded protein response; Calcium-binding protein; Biochemistry; Microbiology; Calcium; Secretory pathway; Chemistry","score_opus":0.029058294416247805,"score_gpt":0.3267449424890992,"score_spread":0.2976866480728514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137123414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5391366,0.13272725,0.015358666,0.25221297,0.013204627,0.00029229507,0.0010644644,0.00081033254,0.045192882],"genre_scores_gemma":[0.8674032,0.050085463,0.007888031,0.04863924,0.008075791,0.000074911644,0.00045225097,0.0000840424,0.017297093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998528,0.000023255196,0.000010841447,0.00003091868,0.000060132203,0.000022109358],"domain_scores_gemma":[0.99976987,0.00006228395,0.000040703166,0.000015184792,0.00007651615,0.000035406516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027102538,0.00040059196,0.00034769185,0.00045373553,0.00039089777,0.00067728874,0.0003293627,0.0018009525,0.0009571818],"category_scores_gemma":[0.0006410091,0.00012723629,0.00018475513,0.00035737944,0.00043726753,0.0004889656,0.00019668591,0.00094863167,0.0007694051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011525746,0.00016690108,0.016059592,0.0013263748,0.000106676,0.04094504,0.0005078716,0.00039259315,0.65948856,0.0031978032,0.13354334,0.14311264],"study_design_scores_gemma":[0.00013190789,0.000656871,0.08278395,0.0004217668,0.00026290445,0.14077136,0.0011984783,0.0065753665,0.2785855,0.008168475,0.4803497,0.000093663715],"about_ca_topic_score_codex":0.00092924456,"about_ca_topic_score_gemma":0.0012006423,"teacher_disagreement_score":0.0018009525,"about_ca_system_score_codex":0.00080605975,"about_ca_system_score_gemma":0.00019106058,"threshold_uncertainty_score":0.0058484077},"labels":[],"label_agreement":null},{"id":"W2141891301","doi":"10.1586/14789450.2014.890894","title":"The proteomics of prostate cancer exosomes","year":2014,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","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 Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Ontario Ministry of Health and Long-Term Care","keywords":"Microvesicles; Prostate cancer; Biomarker discovery; Proteomics; Biomarker; Proteome; Prostate; Cancer biomarkers; Cancer; Medicine; Computational biology; Cancer research; Biology; Bioinformatics; microRNA; Internal medicine; Biochemistry","score_opus":0.006428154327889534,"score_gpt":0.29169249947618203,"score_spread":0.2852643451482925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141891301","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6212288,0.28946546,0.061223354,0.0042420113,0.0012286546,0.00024687016,0.004595464,0.00071649504,0.017052848],"genre_scores_gemma":[0.7783794,0.162231,0.037653778,0.0018374261,0.00047722223,0.00014660887,0.0035951652,0.00012395455,0.015555446],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979657,0.00004578519,0.000013746263,0.00004538446,0.000074359516,0.000024246629],"domain_scores_gemma":[0.99992204,0.000016393133,0.000011935885,0.000006614802,0.00002871383,0.000014318923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041114612,0.0003615637,0.00033408837,0.00069544517,0.00030103308,0.0006953613,0.0001904974,0.00048731192,0.0005371],"category_scores_gemma":[0.00038371823,0.0001350735,0.0002638645,0.00055157393,0.00017250411,0.0004039166,0.0004586868,0.00039178136,0.0005494308],"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":[0.00015254557,0.000026887608,0.0018723048,0.00078858476,0.00006311298,0.00051247876,0.00013586602,0.0004757462,0.93312335,0.0021709176,0.0029133637,0.057764914],"study_design_scores_gemma":[0.00003958672,0.00043945687,0.03925806,0.0004086266,0.00013625642,0.008168321,0.0005593094,0.0039945743,0.75551045,0.0061808787,0.18522446,0.000079943886],"about_ca_topic_score_codex":0.00052885606,"about_ca_topic_score_gemma":0.0004554162,"teacher_disagreement_score":0.00069544517,"about_ca_system_score_codex":0.00035429836,"about_ca_system_score_gemma":0.00048193996,"threshold_uncertainty_score":0.0025706887},"labels":[],"label_agreement":null},{"id":"W2145413560","doi":"10.1586/14789450.4.6.741","title":"Circulating tumor cells: detection, molecular profiling and future prospects","year":2007,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":110,"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; Montreal Children's Hospital","funders":"","keywords":"Circulating tumor cell; Metastasis; Malignancy; Cancer; Biology; Disease; Computational biology; Medicine; Pathology; Genetics","score_opus":0.029754209626949902,"score_gpt":0.3609606708182182,"score_spread":0.3312064611912683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145413560","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002193814,0.9969406,0.0008920844,0.0007404772,0.00019619009,0.000006403372,0.00001193175,0.0000145644535,0.0009783368],"genre_scores_gemma":[0.0015602417,0.9940445,0.0016109692,0.0006078099,0.00042302738,0.000018691528,0.000031077452,0.0000037093232,0.0016998716],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996258,0.000082318285,0.000032559798,0.000066303255,0.00016023176,0.000032736305],"domain_scores_gemma":[0.9994836,0.00019820163,0.000057250032,0.000018156072,0.00017497638,0.00006781159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015768516,0.0011528796,0.0017108667,0.0022043649,0.00027657344,0.0013319186,0.0013131284,0.0023954236,0.0020467327],"category_scores_gemma":[0.00091213174,0.00040647815,0.00043256074,0.002027202,0.0009138872,0.00237534,0.0005372523,0.0019434866,0.0029215352],"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":[0.00014869531,0.00015160609,0.00036817152,0.0045112716,0.00004184731,0.0004394015,0.00005118768,0.00046168026,0.008089962,0.00436893,0.023244314,0.9581231],"study_design_scores_gemma":[0.000047263493,0.00035113146,0.0021239931,0.0016317456,0.00010498751,0.0064390935,0.00013521376,0.0008194813,0.006543514,0.0066758604,0.9750683,0.00005943953],"about_ca_topic_score_codex":0.000982577,"about_ca_topic_score_gemma":0.001444284,"teacher_disagreement_score":0.0023954236,"about_ca_system_score_codex":0.00095723924,"about_ca_system_score_gemma":0.0008438396,"threshold_uncertainty_score":0.008339286},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005358715,0.6945234,0.275439,0.0018951372,0.002494771,0.00047166453,0.0011175021,0.0013248201,0.01737501],"genre_scores_gemma":[0.032554455,0.76916844,0.1749216,0.0025480588,0.0014001639,0.0008406197,0.002208837,0.0002459933,0.016111866],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976829,0.00041951486,0.00009607083,0.00068845355,0.0010037625,0.00010917181],"domain_scores_gemma":[0.99935025,0.00024419636,0.000092748465,0.00006542038,0.00021443913,0.000032890515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029240004,0.0029423928,0.0033310826,0.0037740364,0.00047819674,0.0021232266,0.0026587483,0.0021461432,0.0025283862],"category_scores_gemma":[0.0015645102,0.0008633836,0.0008803202,0.0033306472,0.001449805,0.0025446257,0.001703947,0.0026376857,0.0055869785],"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":[0.00013391543,0.0001579225,0.00048422546,0.012847941,0.00041175826,0.0003984536,0.0001157968,0.0018870834,0.39006406,0.016032089,0.02529097,0.5521758],"study_design_scores_gemma":[0.000051989635,0.0002538057,0.0020459848,0.0010644604,0.00020441759,0.003252172,0.000114418595,0.006081715,0.30983287,0.017685033,0.6592326,0.0001803948],"about_ca_topic_score_codex":0.00043363747,"about_ca_topic_score_gemma":0.0006379225,"teacher_disagreement_score":0.0037740364,"about_ca_system_score_codex":0.0010652711,"about_ca_system_score_gemma":0.0007583173,"threshold_uncertainty_score":0.015463769},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47291663,0.005491342,0.47605938,0.009831099,0.0011566796,0.00037704833,0.004202262,0.0049313814,0.02503415],"genre_scores_gemma":[0.87253237,0.00084164384,0.119517855,0.00081850577,0.00017844117,0.00028966737,0.0028533957,0.00018683076,0.002781203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995647,0.00012821254,0.000029695293,0.000081344035,0.0001526442,0.000043356515],"domain_scores_gemma":[0.9978089,0.0015065485,0.00011808491,0.00013732593,0.00033975727,0.00008939557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011693616,0.000691676,0.00084219204,0.00085713016,0.0005066656,0.001263646,0.0013634962,0.0010013097,0.0031003777],"category_scores_gemma":[0.0060598827,0.0003745786,0.000704686,0.00080784794,0.0003810904,0.00082091166,0.0007040446,0.0008906162,0.0006771494],"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":[0.0010963045,0.00035807988,0.0125223,0.00037373375,0.00024612958,0.0008442155,0.00006634047,0.778861,0.005308316,0.01479062,0.025869407,0.1596635],"study_design_scores_gemma":[0.000023459563,0.000020921858,0.00023180757,0.0000065152867,0.00001170335,0.000064841166,0.000005770661,0.9951455,0.00091533986,0.0025722694,0.0009971608,0.0000045993156],"about_ca_topic_score_codex":0.0020884024,"about_ca_topic_score_gemma":0.002513006,"teacher_disagreement_score":0.0031003777,"about_ca_system_score_codex":0.0009998874,"about_ca_system_score_gemma":0.0010752733,"threshold_uncertainty_score":0.010371745},"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":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000332575,0.07130692,0.001113588,0.2191992,0.70013607,0.000107888955,0.0006256502,0.00012497637,0.0070532346],"genre_scores_gemma":[0.0047289976,0.06982956,0.0017793855,0.24882539,0.61848843,0.00039737058,0.001260171,0.00019587926,0.05449488],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99526584,0.00085531385,0.0004109641,0.0005979372,0.0022395882,0.00063035375],"domain_scores_gemma":[0.9820322,0.0028951538,0.0015963876,0.00048052458,0.009027369,0.003968442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009195071,0.001226882,0.0011963008,0.0027785248,0.0020045072,0.005058407,0.00239342,0.010333398,0.020578047],"category_scores_gemma":[0.021181311,0.000445173,0.0013078083,0.0020531076,0.0011011478,0.0035582308,0.003902504,0.008156002,0.013835964],"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":[0.000044003573,0.000014221463,0.000046876285,0.000274547,0.000004350761,0.000041968844,0.000018723806,0.000020547728,0.00021254228,0.0006589444,0.9839866,0.0146765765],"study_design_scores_gemma":[0.000015534046,0.00003587309,0.00041176678,0.00043592497,0.00000896186,0.00011368286,0.000052530315,0.000032430216,0.000157785,0.00081605517,0.9979043,0.000015211382],"about_ca_topic_score_codex":0.0018521054,"about_ca_topic_score_gemma":0.0030650494,"teacher_disagreement_score":0.020578047,"about_ca_system_score_codex":0.00312682,"about_ca_system_score_gemma":0.0065563093,"threshold_uncertainty_score":0.068840444},"labels":[],"label_agreement":null},{"id":"W2297859730","doi":"10.1586/14789450.2016.1165613","title":"Extracellular vesicles in ovarian cancer: applications to tumor biology, immunotherapy and biomarker discovery","year":2016,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","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":"Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research","keywords":"Extracellular vesicles; Biomarker discovery; Ovarian cancer; Computational biology; Cancer immunotherapy; Immunotherapy; Biomarker; Biology; Microvesicles; Cancer; Translational research; Drug discovery; Cancer biomarkers; Immune system; Biogenesis; Proteomics; Bioinformatics; Immunology; Biotechnology; Cell biology","score_opus":0.02221589372105931,"score_gpt":0.36130169661139877,"score_spread":0.33908580289033946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297859730","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008960833,0.9989091,0.00015889373,0.0002661195,0.0001516111,0.000002821584,0.0000077744335,0.0000040853447,0.00040989745],"genre_scores_gemma":[0.0006156072,0.9985434,0.00020060474,0.00013721683,0.00014053233,0.0000040029086,0.000013724686,0.0000010658651,0.00034377404],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977976,0.00003973459,0.000030180954,0.000035830446,0.00009055456,0.000023920591],"domain_scores_gemma":[0.9996786,0.00015339816,0.000048724058,0.000008983251,0.000076050586,0.000034229713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007435105,0.00077397766,0.0013453139,0.0024071569,0.0002957622,0.0011629786,0.0006260906,0.0015980852,0.0022685414],"category_scores_gemma":[0.0006425655,0.00026489646,0.0005729366,0.0019029613,0.00057186186,0.0015518611,0.0011113336,0.0018070292,0.0014415049],"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":[0.000059510323,0.000052642186,0.00019964216,0.014070158,0.00008489024,0.00034911642,0.00008894521,0.00054916705,0.0052950657,0.008516538,0.018087948,0.9526463],"study_design_scores_gemma":[0.000011570607,0.00009991248,0.0005894328,0.0032607436,0.000074754455,0.001963417,0.000088502864,0.00017961227,0.0014747074,0.003926744,0.98830265,0.00002802974],"about_ca_topic_score_codex":0.0007945256,"about_ca_topic_score_gemma":0.0014396214,"teacher_disagreement_score":0.0024071569,"about_ca_system_score_codex":0.00073288707,"about_ca_system_score_gemma":0.0010362497,"threshold_uncertainty_score":0.007589042},"labels":[],"label_agreement":null},{"id":"W2298938399","doi":"10.1586/14789450.2016.1166054","title":"Clinical applications of bacterial glycoproteins","year":2016,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","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":"Carleton University; National Research Council Canada","funders":"","keywords":"Virulence; Antibiotic resistance; Biology; Intensive care medicine; Adaptation (eye); Glycan; Medicine; Computational biology; Antibiotics; Glycoprotein; Microbiology; Gene; Genetics; Neuroscience","score_opus":0.07210280280849256,"score_gpt":0.4562613323653946,"score_spread":0.38415852955690205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298938399","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004081845,0.995118,0.0004600658,0.00088247977,0.0003925427,0.0000094130855,0.000025044412,0.000014579716,0.0026896948],"genre_scores_gemma":[0.005014603,0.9906854,0.0008819963,0.00091057376,0.0005457539,0.000018043163,0.000088992405,0.000005501117,0.001849089],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995627,0.00009791071,0.00003878647,0.000056312165,0.00018844943,0.0000557681],"domain_scores_gemma":[0.99960524,0.0001653235,0.000060676193,0.000017299015,0.00010204089,0.0000494462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010926947,0.0008298806,0.0011097838,0.0020220561,0.00030768733,0.0013597653,0.0006256725,0.0017430078,0.0047252085],"category_scores_gemma":[0.00097553077,0.00021412343,0.00076647056,0.0011243895,0.0006578499,0.001038929,0.0010982387,0.0018957385,0.0028134035],"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":[0.00017617877,0.00009836884,0.00044464436,0.013765169,0.00009926959,0.0010180981,0.00014679435,0.0002950754,0.01304223,0.0082297865,0.034103103,0.92858124],"study_design_scores_gemma":[0.000024199955,0.00014699329,0.0007247279,0.0020478633,0.000051783474,0.0032240786,0.000091122354,0.00008330862,0.002960637,0.0025076065,0.9881171,0.000020531088],"about_ca_topic_score_codex":0.0005450584,"about_ca_topic_score_gemma":0.0007663103,"teacher_disagreement_score":0.0047252085,"about_ca_system_score_codex":0.0006201589,"about_ca_system_score_gemma":0.00085950276,"threshold_uncertainty_score":0.01580745},"labels":[],"label_agreement":null},{"id":"W2460619573","doi":"10.1080/14789450.2016.1205491","title":"Progress and potential impact of RET kinase targeting in cancer","year":2016,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","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":"Queen's University","funders":"Institute of Cancer Research; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Cancer research; Medicine; Oncology; Kinase; Internal medicine; Cancer; Biology; Genetics","score_opus":0.009697962316617034,"score_gpt":0.3741025609545072,"score_spread":0.3644045986378902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460619573","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016746476,0.1582196,0.00043315644,0.04936574,0.7892415,0.000033577868,0.00008465361,0.00007723995,0.0023769569],"genre_scores_gemma":[0.0013392869,0.12450822,0.0004325824,0.03625946,0.8268525,0.000029248096,0.00006299564,0.000032727243,0.01048289],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811184,0.00028969205,0.000298585,0.00019940951,0.0009611135,0.00013942592],"domain_scores_gemma":[0.9949884,0.002090549,0.00038460415,0.00009871284,0.0019088149,0.00052889576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004646552,0.0018284902,0.0020925696,0.0017104221,0.000898087,0.0033508518,0.0018929302,0.0064848247,0.004308694],"category_scores_gemma":[0.008134197,0.0005154477,0.0015267797,0.0008645279,0.0012497993,0.003223477,0.0009772857,0.010603755,0.0031721578],"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":[0.00016038769,0.000028854354,0.000040522973,0.0012441501,0.00006142008,0.00020749394,0.000021002763,0.00005974452,0.0003542571,0.00091904384,0.94895625,0.04794694],"study_design_scores_gemma":[0.000141053,0.000095198884,0.00019859136,0.0006353651,0.00010942131,0.00052523473,0.000028167642,0.00011759283,0.00032647426,0.0011008407,0.99670213,0.000019949917],"about_ca_topic_score_codex":0.00071495376,"about_ca_topic_score_gemma":0.001985682,"teacher_disagreement_score":0.0064848247,"about_ca_system_score_codex":0.0017321273,"about_ca_system_score_gemma":0.0023077796,"threshold_uncertainty_score":0.024573624},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023081826,0.8994664,0.001512616,0.08564033,0.010625161,0.00002268144,0.00009752242,0.000040281437,0.0023641223],"genre_scores_gemma":[0.0027381962,0.94930726,0.001422608,0.037170757,0.0074732187,0.00004327781,0.000106786094,0.000024129482,0.0017137278],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946626,0.0018925403,0.0005285109,0.0006048109,0.0020787672,0.00023283293],"domain_scores_gemma":[0.98123187,0.010607737,0.0015220045,0.00039032917,0.0058653657,0.00038270542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011970744,0.0008182512,0.0016527866,0.0013000222,0.0005004048,0.0028016183,0.0022733177,0.0054332167,0.00456919],"category_scores_gemma":[0.0221284,0.0004173476,0.0010575656,0.0012574699,0.0023602736,0.004066544,0.0016371312,0.0073365797,0.0037968734],"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":[0.00017185106,0.000036212485,0.0002923466,0.023438781,0.0001335762,0.0006260158,0.00029546174,0.00042095422,0.0019173884,0.024339136,0.32363835,0.6246899],"study_design_scores_gemma":[0.000024981497,0.0000617181,0.00032113987,0.008125494,0.000048309113,0.0008143569,0.0001456461,0.0001468167,0.000641812,0.00854881,0.9810893,0.00003165199],"about_ca_topic_score_codex":0.0019874582,"about_ca_topic_score_gemma":0.0028675976,"teacher_disagreement_score":0.011970744,"about_ca_system_score_codex":0.0016470326,"about_ca_system_score_gemma":0.006067101,"threshold_uncertainty_score":0.06330812},"labels":[],"label_agreement":null},{"id":"W2519862144","doi":"10.1080/14789450.2016.1236548","title":"Applying proteomics to research for optic nerve regeneration in glaucoma: what’s on the horizon?","year":2016,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Glaucoma and retinal disorders","field":"Medicine","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":"Columbia College","funders":"National Eye Institute","keywords":"Glaucoma; Neurodegeneration; Optic nerve; Regeneration (biology); Blindness; Neuroscience; Medicine; Proteomics; Ophthalmology; Disease; Pathology; Biology; Optometry; Cell biology; Genetics","score_opus":0.05984239186317066,"score_gpt":0.3791422017302352,"score_spread":0.3192998098670646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519862144","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003087373,0.89621,0.0008042791,0.0959618,0.005500367,0.000018222372,0.000037431408,0.000050601437,0.0011084898],"genre_scores_gemma":[0.0027611158,0.9611171,0.0025634514,0.02389715,0.008742182,0.000020766609,0.0000414762,0.000017907605,0.00083887484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960354,0.0013486956,0.00036752102,0.0004114574,0.0013796687,0.00045727257],"domain_scores_gemma":[0.9751381,0.011249284,0.0013045011,0.00090604357,0.009238705,0.0021633473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0222319,0.0016661959,0.004294404,0.0036455954,0.0014225879,0.008158714,0.0029236013,0.010945429,0.0061169947],"category_scores_gemma":[0.017244725,0.00073941896,0.0022669078,0.0022428327,0.005984521,0.012751454,0.0032781106,0.008970859,0.004183984],"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":[0.0003062089,0.00017683824,0.0018863501,0.011269735,0.00075288134,0.00064307114,0.00037792916,0.0003101696,0.004006969,0.01743934,0.23387678,0.7289537],"study_design_scores_gemma":[0.00020664524,0.0005302634,0.004055144,0.018139971,0.000506454,0.0020477204,0.0017414222,0.0006059062,0.0025646302,0.067762695,0.90160656,0.00023268806],"about_ca_topic_score_codex":0.0026830928,"about_ca_topic_score_gemma":0.0050347685,"teacher_disagreement_score":0.0222319,"about_ca_system_score_codex":0.0025748473,"about_ca_system_score_gemma":0.0064185895,"threshold_uncertainty_score":0.11757487},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032489642,0.98945624,0.0037551736,0.0019929882,0.0010145896,0.000016700797,0.00006096565,0.00006198711,0.0033163684],"genre_scores_gemma":[0.002229777,0.99216205,0.002313008,0.0009992232,0.0009880727,0.000020855352,0.00008107402,0.000013423661,0.00119258],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991013,0.00017914407,0.000068786176,0.00019831066,0.0003848021,0.00006758167],"domain_scores_gemma":[0.9981957,0.0010035748,0.00015346684,0.000064768254,0.00051340944,0.000069013135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025355516,0.0013614298,0.0011220264,0.0026027767,0.00037017022,0.0016552339,0.0012929547,0.0020573284,0.0046174177],"category_scores_gemma":[0.0024119434,0.00044379194,0.0008893513,0.0020248767,0.0011651969,0.0022557697,0.0013371158,0.0028338674,0.003531004],"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":[0.000101314836,0.0000638143,0.0005820879,0.025506493,0.0002495207,0.0004454737,0.00018804657,0.0010167243,0.0149572985,0.0209319,0.05504854,0.88090885],"study_design_scores_gemma":[0.000010228365,0.00007010006,0.00069472863,0.0021217023,0.000097523676,0.0011061742,0.000089692694,0.0004748152,0.0051351935,0.008820325,0.98132175,0.00005769343],"about_ca_topic_score_codex":0.0011833248,"about_ca_topic_score_gemma":0.0014588278,"teacher_disagreement_score":0.0046174177,"about_ca_system_score_codex":0.0009783091,"about_ca_system_score_gemma":0.0015451808,"threshold_uncertainty_score":0.015446842},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071085375,0.6833832,0.049682014,0.22582571,0.020594427,0.00019509031,0.00072385237,0.00045214442,0.012034899],"genre_scores_gemma":[0.13540494,0.5999038,0.0729728,0.14408846,0.03321379,0.00036278984,0.0009134703,0.00021005199,0.012929893],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9934877,0.0031678728,0.00040332443,0.0009024515,0.0018481299,0.00019037913],"domain_scores_gemma":[0.98735934,0.0072951824,0.0012895897,0.00039332852,0.0033776907,0.00028486658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012495923,0.0010871042,0.0013610111,0.0016712482,0.0005326805,0.0028599426,0.0017601531,0.005087796,0.0026515685],"category_scores_gemma":[0.016498022,0.00037389967,0.00074649305,0.0013979764,0.0029414266,0.002438675,0.0013200125,0.0037730557,0.0025339336],"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":[0.0010163992,0.00010409863,0.011351445,0.0140451295,0.0006292894,0.0023674895,0.00052362407,0.0014250914,0.037069604,0.04721211,0.31679276,0.567463],"study_design_scores_gemma":[0.0001387845,0.00054435426,0.009085597,0.008658337,0.00037731492,0.008675521,0.00056335074,0.0042144726,0.025119696,0.07856824,0.86380786,0.0002464808],"about_ca_topic_score_codex":0.0010209243,"about_ca_topic_score_gemma":0.001694075,"teacher_disagreement_score":0.012495923,"about_ca_system_score_codex":0.0015481153,"about_ca_system_score_gemma":0.0020774247,"threshold_uncertainty_score":0.06608552},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001158836,0.9667694,0.012186222,0.0039168047,0.0027461997,0.000058249923,0.00028182456,0.0002433758,0.012639044],"genre_scores_gemma":[0.0093129305,0.9676416,0.00850574,0.0028179742,0.0020011694,0.00007495187,0.00042371987,0.000055803925,0.009166099],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999166,0.00013352656,0.00004198827,0.0001693569,0.00041929792,0.00006986174],"domain_scores_gemma":[0.99940336,0.00018640707,0.000099371035,0.000031127754,0.0002375599,0.000042234013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015521449,0.0014869601,0.0008823474,0.0023768547,0.00034644065,0.0012051705,0.0012644654,0.0020384009,0.005511673],"category_scores_gemma":[0.0011454342,0.00039589792,0.0005737139,0.0021137432,0.0008934801,0.0019885178,0.0010824238,0.0027298697,0.0071949665],"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":[0.00015219236,0.00010505825,0.0006448081,0.019518116,0.00021027557,0.0005570565,0.00014090669,0.0008101378,0.07160666,0.023296248,0.12238232,0.7605763],"study_design_scores_gemma":[0.000010730495,0.000067884816,0.0006138916,0.0010466726,0.000042671058,0.0012979535,0.000049682272,0.0005434948,0.019535452,0.004483499,0.9722644,0.000043544886],"about_ca_topic_score_codex":0.0006012394,"about_ca_topic_score_gemma":0.0007931987,"teacher_disagreement_score":0.005511673,"about_ca_system_score_codex":0.00075514754,"about_ca_system_score_gemma":0.0010312024,"threshold_uncertainty_score":0.018438399},"labels":[],"label_agreement":null},{"id":"W2912059416","doi":"10.1080/14789450.2019.1575206","title":"Origins and clinical relevance of proteoforms in pediatric malignancies","year":2019,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Peptidase Inhibition and Analysis","field":"Medicine","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":"BC Children's Hospital; University of British Columbia","funders":"Canada Research Chairs; Michael Smith Health Research BC; BC Children's Hospital","keywords":"Proteome; Human proteome project; Computational biology; Carcinogenesis; Biology; Pediatric cancer; Childhood cancer; Cancer; Computer science; Bioinformatics; Proteomics; Genetics; Gene","score_opus":0.06566166594955107,"score_gpt":0.42391565061291275,"score_spread":0.35825398466336167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912059416","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012590505,0.99861145,0.0000969528,0.00043826216,0.00017079052,0.0000023242953,0.000023853,0.0000042939105,0.00052598404],"genre_scores_gemma":[0.0014266374,0.9975387,0.00015334316,0.00032236055,0.00021490642,0.000003665428,0.000047309994,0.0000016141709,0.0002915503],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996737,0.000070970935,0.000052239735,0.000059503396,0.00011135903,0.000032319083],"domain_scores_gemma":[0.99938273,0.00029176715,0.0001397925,0.000010571636,0.00014716812,0.000028047692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006317406,0.0005510127,0.0008748019,0.0014224957,0.00014026997,0.00074627716,0.0004988327,0.00084571034,0.002686144],"category_scores_gemma":[0.001265375,0.0001378175,0.000629957,0.0012093995,0.00040147433,0.0007704734,0.00046338496,0.0013176547,0.0010334768],"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":[0.0001341871,0.000022296561,0.00063382444,0.029976996,0.00020092372,0.0004334708,0.000054892727,0.00031794162,0.0016910917,0.0034714772,0.038674764,0.9243882],"study_design_scores_gemma":[0.000025172847,0.00009551005,0.0035631633,0.0149931535,0.00031228855,0.006073901,0.000115639494,0.00017469536,0.0013030329,0.0032042975,0.9701062,0.000032877517],"about_ca_topic_score_codex":0.00077992294,"about_ca_topic_score_gemma":0.0012744409,"teacher_disagreement_score":0.002686144,"about_ca_system_score_codex":0.00051182427,"about_ca_system_score_gemma":0.00084502756,"threshold_uncertainty_score":0.008986056},"labels":[],"label_agreement":null},{"id":"W2967211497","doi":"10.1080/14789450.2019.1654863","title":"Postnatal gestational age estimation via newborn screening analysis: application and potential","year":2019,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Neonatal Respiratory Health Research","field":"Medicine","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 Ottawa; Newborn Screening Ontario; Children's Hospital of Eastern Ontario; Ottawa Hospital","funders":"","keywords":"Gestational age; Medicine; Estimation; Newborn screening; Obstetrics; Computer science; Pregnancy; Pediatrics; Biology","score_opus":0.019046088732412193,"score_gpt":0.37568477743137063,"score_spread":0.35663868869895843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967211497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10851334,0.06586153,0.7822376,0.019641934,0.0013615539,0.00052086904,0.0036713749,0.0017083746,0.016483368],"genre_scores_gemma":[0.7159433,0.035952013,0.23749238,0.0022919204,0.00082428084,0.00037295395,0.002219956,0.00023231228,0.0046708756],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99770385,0.0012723494,0.00009737641,0.00043550026,0.00040129022,0.000089643465],"domain_scores_gemma":[0.9925817,0.005170088,0.00062770606,0.00024610944,0.0012156116,0.00015863434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005644994,0.0013044775,0.0011408693,0.0011917998,0.000355652,0.0022147556,0.0015454678,0.001374379,0.0031772917],"category_scores_gemma":[0.021470645,0.0003831807,0.00143737,0.001174396,0.00059058005,0.0010493356,0.001203067,0.0014029391,0.001053635],"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":[0.00059686723,0.00020740987,0.15805264,0.0021359343,0.0011246216,0.00086847844,0.00030898704,0.2251261,0.0027406057,0.014378507,0.01702166,0.5774382],"study_design_scores_gemma":[0.000060640858,0.00034929032,0.025420029,0.001431983,0.0005675362,0.0010136027,0.00030505733,0.9121052,0.0031952467,0.025178589,0.03022172,0.00015111388],"about_ca_topic_score_codex":0.017312616,"about_ca_topic_score_gemma":0.010309463,"teacher_disagreement_score":0.017312616,"about_ca_system_score_codex":0.0011496427,"about_ca_system_score_gemma":0.0022099528,"threshold_uncertainty_score":0.03442371},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021444366,0.9978866,0.00051634194,0.0005821813,0.00020592815,0.000004938287,0.000031765358,0.000012924052,0.0005447356],"genre_scores_gemma":[0.0026371602,0.99552417,0.00072297174,0.00039649714,0.00022364625,0.000011626267,0.000047448542,0.000007870313,0.00042861278],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990989,0.0002716806,0.000069533016,0.0001941058,0.00030618347,0.000059538637],"domain_scores_gemma":[0.99850994,0.00089774653,0.00019774586,0.00003600969,0.00030555532,0.000052960604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002344835,0.0012133094,0.0015685076,0.002178784,0.00024421254,0.0018757944,0.0010425597,0.0012305346,0.0024746845],"category_scores_gemma":[0.0027985068,0.0003503322,0.0009375116,0.0022279646,0.000938847,0.0020651664,0.00077737967,0.0019302911,0.0014597602],"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":[0.00012429277,0.000038993512,0.0008051749,0.04111258,0.0004466859,0.00009622745,0.00011040573,0.0007406765,0.004748084,0.007411344,0.021438643,0.9229269],"study_design_scores_gemma":[0.000028274166,0.00023082944,0.0061384393,0.017617328,0.001007741,0.0013751562,0.00027557908,0.0011227943,0.0055167302,0.01675698,0.94980186,0.00012835066],"about_ca_topic_score_codex":0.0015362515,"about_ca_topic_score_gemma":0.002081863,"teacher_disagreement_score":0.0024746845,"about_ca_system_score_codex":0.0011783027,"about_ca_system_score_gemma":0.0012461417,"threshold_uncertainty_score":0.012400806},"labels":[],"label_agreement":null},{"id":"W3187135871","doi":"10.1080/14789450.2021.1962302","title":"The phosphoinositide code is read by a plethora of protein domains","year":2021,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","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 Alberta","funders":"","keywords":"Computational biology; Computer science; Code (set theory); Chemistry; Biology; Programming language","score_opus":0.007836023934201445,"score_gpt":0.27136542486764625,"score_spread":0.2635294009334448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187135871","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04021361,0.78539026,0.040587462,0.03890159,0.013256202,0.00015325629,0.005278606,0.002294208,0.07392481],"genre_scores_gemma":[0.17596376,0.71176535,0.016459849,0.018466134,0.0059675192,0.00018026224,0.005698343,0.00022651909,0.06527224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997037,0.000028210789,0.000015372278,0.00009893399,0.00011841457,0.000035325287],"domain_scores_gemma":[0.9997975,0.000035559227,0.000067412024,0.000012762328,0.00005607552,0.000030719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032520105,0.000578402,0.00067772396,0.0003661275,0.00032211174,0.001363865,0.00046295187,0.001244417,0.009779692],"category_scores_gemma":[0.00054628664,0.00023567045,0.00033664072,0.00061834883,0.00076800014,0.0014764203,0.00069238764,0.0012353362,0.008604367],"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":[0.0004428697,0.000024291512,0.0012615089,0.0065159346,0.00012343297,0.0013873986,0.00021401265,0.00060364755,0.34840494,0.03659569,0.12352753,0.48089868],"study_design_scores_gemma":[0.000024672087,0.00006785597,0.0016260432,0.0003934691,0.000037577127,0.0020888648,0.00014269342,0.00039775617,0.049165115,0.006498559,0.9395282,0.000029212028],"about_ca_topic_score_codex":0.00045785375,"about_ca_topic_score_gemma":0.00049042125,"teacher_disagreement_score":0.009779692,"about_ca_system_score_codex":0.0006357545,"about_ca_system_score_gemma":0.00065910746,"threshold_uncertainty_score":0.032716334},"labels":[],"label_agreement":null},{"id":"W4308678741","doi":"10.1080/14789450.2022.2142564","title":"The role of E3 ubiquitin ligase in multiple myeloma: potential for cereblon E3 ligase modulators in the treatment of relapsed/refractory disease","year":2022,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","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 Calgary","funders":"","keywords":"Cereblon; Ubiquitin ligase; DNA ligase; Ubiquitin-Protein Ligases; Ubiquitin; Cancer research; Multiple myeloma; Chemistry; Biology; Cell biology; Genetics; DNA; Immunology; Gene","score_opus":0.019796031538560424,"score_gpt":0.3074608902101088,"score_spread":0.2876648586715484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308678741","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016903927,0.9972767,0.00013427773,0.0008677985,0.00044768504,0.0000048982124,0.000028341068,0.000010799941,0.0010605253],"genre_scores_gemma":[0.0012883407,0.9961093,0.00019171558,0.00083641673,0.00038506187,0.000009627758,0.00006338675,0.00000287018,0.0011132346],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998679,0.000027635931,0.000013376256,0.000023310393,0.000048546623,0.000019234201],"domain_scores_gemma":[0.9998165,0.000068313675,0.000030917145,0.0000046293017,0.000060229882,0.000019529383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052296306,0.00055729365,0.0008595142,0.0009142451,0.00014935441,0.0006116856,0.00065563666,0.0009457078,0.0038669345],"category_scores_gemma":[0.0005103703,0.000118531236,0.0005210512,0.00076668133,0.0002568979,0.0007729981,0.00040381975,0.0018673349,0.0019844559],"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":[0.00019135633,0.000055478275,0.00010421917,0.011493787,0.0001212979,0.00020740692,0.000031513828,0.00041979004,0.0029067218,0.0033584002,0.06573315,0.9153769],"study_design_scores_gemma":[0.00006469292,0.00018389022,0.000628781,0.0030799576,0.00012670195,0.0010264185,0.000031289237,0.00014173027,0.0008045407,0.0018349764,0.99206275,0.000014203343],"about_ca_topic_score_codex":0.00062167866,"about_ca_topic_score_gemma":0.0014238057,"teacher_disagreement_score":0.0038669345,"about_ca_system_score_codex":0.00058327016,"about_ca_system_score_gemma":0.0006487744,"threshold_uncertainty_score":0.0129362345},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41085792,0.016956523,0.54115343,0.003646256,0.002096954,0.00397655,0.0051389514,0.008978025,0.007195337],"genre_scores_gemma":[0.43905297,0.008222408,0.52828896,0.004870259,0.0005372408,0.0031677946,0.009180665,0.0012129196,0.005466703],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785197,0.00045958537,0.00012668617,0.00049259386,0.0009240294,0.00014510934],"domain_scores_gemma":[0.99853003,0.00042255744,0.00013234024,0.00007806071,0.0007296467,0.00010734731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037796895,0.0012157931,0.0007252213,0.00086422445,0.0005898204,0.0013618972,0.0012831576,0.0016573076,0.0028149812],"category_scores_gemma":[0.003628075,0.00037305782,0.00058138027,0.00040458466,0.0007316647,0.00090401346,0.0007346985,0.0007815522,0.002293732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066751393,0.00018664531,0.0016711156,0.000748736,0.00010711874,0.00019068265,0.000120403194,0.00049911515,0.95553756,0.00042727613,0.0023858666,0.037458],"study_design_scores_gemma":[0.00010125799,0.0011684075,0.008435587,0.00015969314,0.0002494154,0.0012647457,0.0000989549,0.011903831,0.95211583,0.00032549418,0.024044896,0.0001319647],"about_ca_topic_score_codex":0.00089655997,"about_ca_topic_score_gemma":0.0012434698,"teacher_disagreement_score":0.0037796895,"about_ca_system_score_codex":0.0005517769,"about_ca_system_score_gemma":0.0011710736,"threshold_uncertainty_score":0.019989192},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005589712,0.7906211,0.08547102,0.101027876,0.007594204,0.00025601758,0.0024763378,0.00088589307,0.006077878],"genre_scores_gemma":[0.06834813,0.7297274,0.108503394,0.06205155,0.0216308,0.0006715831,0.0036400014,0.00044670526,0.0049805096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99415046,0.0027437133,0.0002934951,0.0011227841,0.0013846701,0.0003047184],"domain_scores_gemma":[0.9789079,0.0125384815,0.001813144,0.0013441958,0.0044950484,0.0009013232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020732263,0.0010703161,0.0030753596,0.002186165,0.00047448667,0.0042502563,0.0020471427,0.0030842111,0.005530508],"category_scores_gemma":[0.020800875,0.0005457248,0.0013496984,0.002452195,0.0024816652,0.0041610957,0.0021865873,0.005184226,0.004380635],"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":[0.0010696489,0.00012040358,0.022537256,0.011108958,0.0012407376,0.0006907385,0.00030581112,0.00067860563,0.0155842,0.028082192,0.12235379,0.7962277],"study_design_scores_gemma":[0.0002247506,0.0009279424,0.023545166,0.008451344,0.0011910346,0.0052990736,0.00085124234,0.0035690458,0.010005213,0.11809002,0.8275577,0.0002873997],"about_ca_topic_score_codex":0.0013131052,"about_ca_topic_score_gemma":0.0015485907,"teacher_disagreement_score":0.020732263,"about_ca_system_score_codex":0.0014107339,"about_ca_system_score_gemma":0.0024646793,"threshold_uncertainty_score":0.109644055},"labels":[],"label_agreement":null},{"id":"W4388906989","doi":"10.1080/14789450.2023.2287054","title":"How to maximize power for differential expression analysis in discovery omics through experimental design","year":2023,"lang":"en","type":"editorial","venue":"Expert Review of Proteomics","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","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":"Research Institute in Oncology and Hematology; Children's Hospital Research Institute of Manitoba; CancerCare Manitoba; Research Manitoba; University of Manitoba; George & Fay Yee Centre for Healthcare Innovation","funders":"University of Manitoba","keywords":"Computational biology; Expression (computer science); Differential (mechanical device); Biology; Computer science; Data mining; Bioinformatics; Engineering","score_opus":0.013691728251187148,"score_gpt":0.300818452311412,"score_spread":0.2871267240602249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388906989","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018327849,0.17278923,0.028331228,0.18174702,0.61189723,0.00019901183,0.00035831524,0.0007237387,0.003771035],"genre_scores_gemma":[0.00343112,0.098680034,0.021835497,0.16977851,0.6928457,0.0005018803,0.00027673887,0.0007176359,0.01193288],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97290605,0.0125712855,0.0024743024,0.0023491303,0.009313391,0.00038588778],"domain_scores_gemma":[0.8530042,0.119197085,0.0030066045,0.0030859516,0.019711222,0.0019948888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.051973194,0.0024518054,0.0033537738,0.0018766545,0.001327447,0.0056173485,0.004257711,0.009022859,0.00669639],"category_scores_gemma":[0.097905256,0.0011617058,0.0026841252,0.0011264279,0.006827411,0.006259495,0.002205157,0.023018824,0.006759073],"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":[0.00022379412,0.000020976038,0.00010336374,0.0026534903,0.00030223344,0.000107731874,0.0000755338,0.0002825903,0.0008144548,0.01337935,0.8613006,0.1207358],"study_design_scores_gemma":[0.00016306937,0.000110509165,0.00035537954,0.0018570857,0.00022890039,0.00019185281,0.000032608365,0.0006468321,0.0008066328,0.04183636,0.9536832,0.00008751846],"about_ca_topic_score_codex":0.0009759825,"about_ca_topic_score_gemma":0.0021658414,"teacher_disagreement_score":0.051973194,"about_ca_system_score_codex":0.00328898,"about_ca_system_score_gemma":0.0037446073,"threshold_uncertainty_score":0.27486378},"labels":[],"label_agreement":null},{"id":"W4389894559","doi":"10.1080/14789450.2023.2295866","title":"Metabolomics in diabetes mellitus: clinical insight","year":2023,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"Memorial University of Newfoundland","funders":"","keywords":"Metabolomics; Insulin resistance; Diabetes mellitus; Disease; Metabolic disease; Medicine; Pathogenesis; Bioinformatics; Type 2 Diabetes Mellitus; Metabolic disorder; Metabolic pathway; Internal medicine; Biology; Endocrinology; Metabolism","score_opus":0.02627500169704198,"score_gpt":0.34916318444847444,"score_spread":0.32288818275143244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389894559","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041218635,0.97355765,0.0014067702,0.019790098,0.002499456,0.000013357409,0.00009662336,0.000043673215,0.0021801975],"genre_scores_gemma":[0.006887204,0.9742318,0.0015555065,0.0074014873,0.008295054,0.000021034584,0.00012448378,0.000012114886,0.0014713581],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991326,0.00030859822,0.00007720461,0.00014380236,0.00027294905,0.000064875174],"domain_scores_gemma":[0.99794763,0.0009518981,0.0002114985,0.000060792077,0.0006792636,0.00014883687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022530658,0.0008709564,0.0013424238,0.0019642941,0.00026699415,0.002134502,0.0007863366,0.002460816,0.004526863],"category_scores_gemma":[0.0029853513,0.00024350965,0.00084298727,0.0014354707,0.00095888815,0.0018654304,0.0012054334,0.0034809276,0.0021759733],"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":[0.00031710218,0.00008610705,0.0015140554,0.013764291,0.00045064365,0.00072877284,0.0001382387,0.00070146285,0.0041203853,0.019256843,0.14608032,0.81284183],"study_design_scores_gemma":[0.00006038074,0.00020971512,0.0034216875,0.0077110203,0.00025392114,0.0032472904,0.00022508805,0.0011096703,0.0016390692,0.033779807,0.94826066,0.00008171087],"about_ca_topic_score_codex":0.0009545893,"about_ca_topic_score_gemma":0.0012728033,"teacher_disagreement_score":0.004526863,"about_ca_system_score_codex":0.0011386252,"about_ca_system_score_gemma":0.0012376345,"threshold_uncertainty_score":0.015143812},"labels":[],"label_agreement":null},{"id":"W4393530894","doi":"10.1080/14789450.2024.2337004","title":"Prioritization of genes for translation: a computational approach","year":2024,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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":"CancerCare Manitoba; Research Institute in Oncology and Hematology; University of Manitoba","funders":"Health Research","keywords":"Prioritization; Computational biology; Translation (biology); Identification (biology); Gene; Focus (optics); Computer science; Biology; Bioinformatics; Genetics; Management science; Engineering; Messenger RNA","score_opus":0.017716168560582977,"score_gpt":0.302693521957509,"score_spread":0.284977353396926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393530894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076073945,0.0023053964,0.8953591,0.0046610986,0.00035633316,0.00035468306,0.0021525964,0.0022404497,0.016496286],"genre_scores_gemma":[0.4152762,0.0018687036,0.5702653,0.0014549481,0.00023806778,0.00072083366,0.002579229,0.00040041155,0.0071963193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995461,0.0001954041,0.000025137773,0.000094442345,0.000089816356,0.00004906955],"domain_scores_gemma":[0.9971054,0.0024401234,0.0001047143,0.000066427354,0.00020802871,0.00007528326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013208123,0.0008880418,0.0012277114,0.0015528293,0.0008588617,0.0020737506,0.0012493386,0.0014109496,0.0065786126],"category_scores_gemma":[0.004286429,0.0005120397,0.0017351947,0.0017383132,0.000714414,0.0008908559,0.00088581035,0.0011671375,0.000751745],"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":[0.00017424572,0.0001006442,0.0023635246,0.00027918757,0.00013173016,0.00018108115,0.000058756494,0.92526215,0.0012667811,0.02053088,0.004241747,0.045409285],"study_design_scores_gemma":[0.00002727194,0.000018266453,0.00016796605,0.000016516298,0.00003080964,0.000028187034,0.000014766915,0.984014,0.0003096604,0.01381933,0.0015458816,0.0000074634095],"about_ca_topic_score_codex":0.011302142,"about_ca_topic_score_gemma":0.012959555,"teacher_disagreement_score":0.011302142,"about_ca_system_score_codex":0.0017766696,"about_ca_system_score_gemma":0.0029623315,"threshold_uncertainty_score":0.02247274},"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":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003414046,0.04304435,0.0005040503,0.066661105,0.8840984,0.00007554243,0.00027736695,0.00016108803,0.005143952],"genre_scores_gemma":[0.00074826536,0.048213378,0.0006010369,0.0587925,0.84785503,0.00007001079,0.0003102013,0.00019860156,0.04321096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99057055,0.00089922774,0.00051689206,0.000984426,0.0065448293,0.00048408835],"domain_scores_gemma":[0.96862364,0.00761881,0.0013913476,0.00056391355,0.015831303,0.0059710285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013653194,0.002756136,0.002631983,0.0037757738,0.002338718,0.0074556135,0.004016528,0.011319703,0.019754212],"category_scores_gemma":[0.021052703,0.00085662276,0.0017516403,0.0017062982,0.0028306057,0.005244697,0.0018998872,0.018233843,0.019094586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001670681,0.0000028941188,0.000005843633,0.00011058963,0.0000058156743,0.0000154745,0.0000044047547,0.000009275013,0.00003332059,0.00032571497,0.99511564,0.0043543335],"study_design_scores_gemma":[0.00002167792,0.000008947833,0.000044888104,0.00017569878,0.00001289823,0.00004301863,0.000007990438,0.000031312124,0.000051864445,0.00045028867,0.9991436,0.000007781251],"about_ca_topic_score_codex":0.012574825,"about_ca_topic_score_gemma":0.039369527,"teacher_disagreement_score":0.99310726,"about_ca_system_score_codex":0.006892732,"about_ca_system_score_gemma":0.015698852,"threshold_uncertainty_score":0.07220584},"labels":[],"label_agreement":null},{"id":"W4403135033","doi":"10.1080/14789450.2024.2413107","title":"Digitalomics – digital transformation leading to omics insights","year":2024,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","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":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Terry Fox Research Institute","keywords":"Computational biology; Omics; Transformation (genetics); Biology; Data science; Computer science; Bioinformatics; Genetics","score_opus":0.029513590852469632,"score_gpt":0.33637875005032064,"score_spread":0.306865159197851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403135033","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028883264,0.9803786,0.0044275764,0.0038838354,0.0016202569,0.000028910781,0.00009617536,0.000113260474,0.009162557],"genre_scores_gemma":[0.004083801,0.9850991,0.0031466337,0.002629557,0.0013990607,0.00003861619,0.00014111133,0.00003176372,0.0034303889],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903274,0.00023866101,0.00007818362,0.0001635735,0.00041129428,0.00007557342],"domain_scores_gemma":[0.9982918,0.000979144,0.00013927721,0.0001074161,0.00038679922,0.00009559482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019941384,0.0010639243,0.0011680952,0.003271603,0.00039719057,0.0026853739,0.0013250477,0.0022678615,0.0067890575],"category_scores_gemma":[0.0026792395,0.00036816663,0.0009374642,0.0028939615,0.002039046,0.003919909,0.0017326016,0.004142219,0.0037698024],"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":[0.000050067072,0.000045708435,0.00018405574,0.011764075,0.00009768593,0.00030549153,0.00018307853,0.00088954205,0.0034578582,0.078503795,0.0567936,0.84772503],"study_design_scores_gemma":[0.00000652676,0.000036510777,0.0002527452,0.002375668,0.00003119045,0.00082620786,0.00007582182,0.00021831864,0.0010737231,0.014378368,0.9806996,0.000025320927],"about_ca_topic_score_codex":0.0011972602,"about_ca_topic_score_gemma":0.0011155418,"teacher_disagreement_score":0.0067890575,"about_ca_system_score_codex":0.0016197297,"about_ca_system_score_gemma":0.0018177909,"threshold_uncertainty_score":0.022711635},"labels":[],"label_agreement":null},{"id":"W4405080095","doi":"10.1080/14789450.2024.2438774","title":"Patient-responsive protein biomarkers for cartilage degeneration and repair identified in the infrapatellar fat pad","year":2024,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","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":"Arthritis Society; Dutch Arthritis Society; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Clinical Trial Center, China Medical University Hospital","keywords":"Infrapatellar fat pad; Osteoarthritis; Medicine; Cartilage; Mediator; Degeneration (medical); Proteome; Fat pad; Pathology; Adipose tissue; Bioinformatics; Internal medicine; Anatomy; Biology","score_opus":0.01565307221703186,"score_gpt":0.3019260975026508,"score_spread":0.28627302528561893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405080095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677463,0.027261395,0.0022734154,0.0003598841,0.000086674605,0.00003646436,0.00090964366,0.00006960138,0.0012566653],"genre_scores_gemma":[0.9911739,0.004583038,0.0020859723,0.00025613647,0.00007153619,0.00002873859,0.000890351,0.000013236473,0.00089709664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997148,0.00005809857,0.000027924583,0.00009224728,0.00006775473,0.00003917415],"domain_scores_gemma":[0.9996326,0.00006101709,0.0001960819,0.000015022819,0.0000625087,0.000032786986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005235561,0.0004022781,0.00054617785,0.00090311025,0.00018244001,0.00062985794,0.00021646003,0.0005256868,0.0011582164],"category_scores_gemma":[0.0005952627,0.00010368481,0.0003030589,0.0008401177,0.00021826434,0.00024999434,0.00030420147,0.00034622705,0.00036257814],"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":[0.003812745,0.00029114806,0.45760015,0.001272076,0.00072977424,0.0024259423,0.00026715768,0.00061043544,0.41365877,0.00027403815,0.002037828,0.11701997],"study_design_scores_gemma":[0.00006342962,0.0009808262,0.9301625,0.00015663911,0.0005361159,0.0067089307,0.0003807834,0.001390783,0.051721796,0.00040583362,0.007459097,0.000033246455],"about_ca_topic_score_codex":0.0002381345,"about_ca_topic_score_gemma":0.00029790448,"teacher_disagreement_score":0.0011582164,"about_ca_system_score_codex":0.00020295387,"about_ca_system_score_gemma":0.0001687055,"threshold_uncertainty_score":0.0038746},"labels":[],"label_agreement":null},{"id":"W4406476241","doi":"10.1080/14789450.2025.2455104","title":"Oncoproteins E6/E7 of the human papillomavirus types 16 &amp; 18 synergize in modulating oncogenes and tumor suppressor proteins in colorectal cancer","year":2025,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Cervical Cancer and HPV Research","field":"Medicine","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":"Suppressor; Colorectal cancer; Human papillomavirus; Cancer research; Cancer; Mouse model of colorectal and intestinal cancer; Deleted in Colorectal Cancer; Biology; Oncogene; Medicine; Oncology; Internal medicine; Cell cycle","score_opus":0.03451694837340742,"score_gpt":0.3952360899256837,"score_spread":0.3607191415522763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406476241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96636623,0.02861898,0.002402895,0.00022057795,0.000053762982,0.000031326374,0.00028671636,0.00006436244,0.0019551686],"genre_scores_gemma":[0.98136234,0.01434005,0.0020914623,0.00011474621,0.00002762247,0.00002051123,0.00036173206,0.000011226328,0.0016701783],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998338,0.000033709504,0.000010922196,0.000028800314,0.000059747217,0.000032951335],"domain_scores_gemma":[0.9999311,0.000015746811,0.000022014512,0.0000060063862,0.000013736684,0.00001136213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024140604,0.00033608932,0.00027326273,0.0003723142,0.00009327348,0.00033023677,0.00013862265,0.00029412817,0.0010626145],"category_scores_gemma":[0.00013365252,0.00010621748,0.00034940662,0.00026016487,0.00018507444,0.00022850321,0.00025114106,0.00024135014,0.00032214337],"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":[0.00018473707,0.000041413372,0.0020049072,0.0001444526,0.00002849447,0.000089710535,0.000009938355,0.000056211906,0.9888313,0.00006266312,0.000064782,0.008481442],"study_design_scores_gemma":[0.000018833183,0.0007856007,0.052118164,0.000030431687,0.00014067393,0.0018049647,0.00009907147,0.00066403253,0.9353191,0.00014009702,0.008870095,0.000008857021],"about_ca_topic_score_codex":0.00013841542,"about_ca_topic_score_gemma":0.00026696664,"teacher_disagreement_score":0.0010626145,"about_ca_system_score_codex":0.0001376935,"about_ca_system_score_gemma":0.00014526532,"threshold_uncertainty_score":0.0035547614},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048681255,0.99150556,0.0035517518,0.0008982719,0.0004837345,0.000031449676,0.000054238895,0.00005737353,0.0029308803],"genre_scores_gemma":[0.004161186,0.9894215,0.00321754,0.0010777764,0.00036625058,0.00004774023,0.000105681334,0.000016137416,0.0015861182],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990656,0.00020687282,0.000071656876,0.00019881126,0.0003758887,0.0000812473],"domain_scores_gemma":[0.9983954,0.0008090554,0.00018088413,0.000063706844,0.0004770423,0.00007396235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025947392,0.0011148194,0.0010897472,0.0020913084,0.00030207264,0.0013652946,0.0013692954,0.0016436662,0.0029920393],"category_scores_gemma":[0.002563497,0.0005315018,0.00093454885,0.0021116734,0.0008415093,0.002134964,0.0012968737,0.0028338928,0.0023461662],"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":[0.00014086247,0.000083923886,0.00025702245,0.021813182,0.00018579648,0.0002354613,0.00011142639,0.00094601937,0.010838928,0.019691773,0.024965506,0.9207301],"study_design_scores_gemma":[0.00002509427,0.00023562614,0.0005232687,0.002590216,0.00014972169,0.0009524816,0.000059807768,0.00077837205,0.008497184,0.0059303334,0.9802018,0.00005611148],"about_ca_topic_score_codex":0.0010043575,"about_ca_topic_score_gemma":0.0010106224,"teacher_disagreement_score":0.0029920393,"about_ca_system_score_codex":0.0009955794,"about_ca_system_score_gemma":0.0014925104,"threshold_uncertainty_score":0.013722479},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18432496,0.0057563563,0.8005744,0.0008702223,0.00034862026,0.0026535054,0.0017641446,0.0014860632,0.0022216416],"genre_scores_gemma":[0.2237647,0.006088006,0.76208,0.0006458929,0.00012411241,0.0034572815,0.0021488788,0.00024054955,0.0014505915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99648786,0.00091809715,0.0002203656,0.00086745486,0.0013140404,0.00019220958],"domain_scores_gemma":[0.9986702,0.00045684483,0.00027506505,0.00011028745,0.00042739298,0.000060253675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006196492,0.0014185546,0.0012044063,0.00044042422,0.00035750345,0.0009810948,0.0010248066,0.00080842717,0.0013249228],"category_scores_gemma":[0.0029476883,0.0004538123,0.0009660292,0.00040213027,0.00068827445,0.00056294893,0.0007165843,0.0010146255,0.0011556844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040945064,0.00013660497,0.0009492666,0.0011683239,0.00010657085,0.00009715832,0.000054924032,0.003421356,0.9654264,0.00074003055,0.0007497198,0.026740124],"study_design_scores_gemma":[0.0001520928,0.0019305854,0.005022242,0.00014026996,0.00022439586,0.00026708652,0.000056043456,0.02820573,0.9437033,0.0017342987,0.018443683,0.00012024099],"about_ca_topic_score_codex":0.0006182477,"about_ca_topic_score_gemma":0.0012055747,"teacher_disagreement_score":0.006196492,"about_ca_system_score_codex":0.0007403631,"about_ca_system_score_gemma":0.00175308,"threshold_uncertainty_score":0.032770634},"labels":[],"label_agreement":null},{"id":"W4411295826","doi":"10.1080/14789450.2025.2519466","title":"The potential of proteomics for in-depth molecular investigations of progressive supranuclear palsy","year":2025,"lang":"en","type":"review","venue":"Expert Review of Proteomics","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","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":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Progressive supranuclear palsy; Proteomics; Medicine; Neuroscience; Computational biology; Bioinformatics; Pathology; Biology; Disease; Biochemistry","score_opus":0.025151808536793076,"score_gpt":0.36337147056845026,"score_spread":0.3382196620316572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411295826","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000118165684,0.99720675,0.00032260048,0.00093373936,0.0003897406,0.000005155779,0.00002813968,0.000012206156,0.0009836253],"genre_scores_gemma":[0.001352879,0.9965294,0.00046083698,0.0006069185,0.0004158762,0.000008895115,0.000050237923,0.0000031323184,0.00057183305],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960595,0.00009680134,0.000038127957,0.000072155766,0.00015098478,0.000035977126],"domain_scores_gemma":[0.99927884,0.00037530495,0.00008451943,0.00002056837,0.00019868158,0.00004204703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011270425,0.00076951954,0.00111414,0.0020189236,0.00020373813,0.0012982974,0.0006837448,0.0016441974,0.0031002553],"category_scores_gemma":[0.0013467041,0.00020304463,0.00063637435,0.0012363525,0.00055568747,0.0012674702,0.0007858014,0.0021410547,0.0019097305],"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":[0.00008219847,0.000046135112,0.0002640714,0.018271215,0.00019703801,0.00038576883,0.00007514652,0.00031776205,0.0044939555,0.0068557453,0.04259237,0.92641854],"study_design_scores_gemma":[0.000025543934,0.00009942645,0.0012022086,0.006322429,0.00017250865,0.0023418246,0.00009114144,0.00021383676,0.0016114729,0.006446639,0.9814393,0.000033717093],"about_ca_topic_score_codex":0.000855815,"about_ca_topic_score_gemma":0.001232793,"teacher_disagreement_score":0.0031002553,"about_ca_system_score_codex":0.0006347807,"about_ca_system_score_gemma":0.0011216444,"threshold_uncertainty_score":0.010371327},"labels":[],"label_agreement":null},{"id":"W4412509950","doi":"10.1080/14789450.2025.2537210","title":"Repurposing proteomic nanoLC-MS platforms for untargeted metabolomics: evaluating DIA and polarity switching performance in human plasma","year":2025,"lang":"en","type":"article","venue":"Expert Review of Proteomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","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 Canada","funders":"Mohammed Bin Rashid University of Medicine and Health Sciences","keywords":"Repurposing; Human plasma; Metabolomics; Polarity (international relations); Computational biology; Chemistry; Chromatography; Biology; Biochemistry; Cell","score_opus":0.017181550582168238,"score_gpt":0.33910286258966,"score_spread":0.32192131200749174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412509950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8347278,0.01203029,0.14197233,0.0009947325,0.0003162788,0.00090372236,0.003332105,0.0016831638,0.004039606],"genre_scores_gemma":[0.8067811,0.0068205395,0.17613746,0.0018284959,0.00016939917,0.0010043444,0.003752925,0.00045784778,0.0030478754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893576,0.00023125559,0.000060533635,0.0003285031,0.000367623,0.00007632949],"domain_scores_gemma":[0.99934405,0.00025504222,0.00009991294,0.00007414745,0.0001874204,0.0000394406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017781166,0.0008661952,0.00047510306,0.0006542388,0.00031817696,0.0009299142,0.0005330233,0.00081720395,0.001254067],"category_scores_gemma":[0.0016925522,0.00027423888,0.00047119168,0.0004070425,0.00047494684,0.0007376022,0.0006898331,0.0007343534,0.0009201948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031605625,0.00005456842,0.0009342058,0.00019523037,0.000041295654,0.00005141857,0.000029906132,0.00019369223,0.9852245,0.00008531514,0.00023444497,0.012639329],"study_design_scores_gemma":[0.000026821466,0.00044516046,0.005801147,0.000017523877,0.00007983263,0.00030911874,0.00003690105,0.0026155775,0.9870989,0.00019563481,0.0033358852,0.00003760009],"about_ca_topic_score_codex":0.00037789793,"about_ca_topic_score_gemma":0.0006402996,"teacher_disagreement_score":0.0017781166,"about_ca_system_score_codex":0.00037301303,"about_ca_system_score_gemma":0.00039667936,"threshold_uncertainty_score":0.009403646},"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":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005777003,0.081276424,0.17594205,0.006394447,0.0019893278,0.0012859644,0.41380852,0.23036231,0.083163954],"genre_scores_gemma":[0.020490194,0.03218947,0.13538705,0.0048852134,0.0011377014,0.0012218613,0.75768954,0.01710162,0.02989732],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965669,0.00043403017,0.000405938,0.00052366644,0.0017854018,0.00028395662],"domain_scores_gemma":[0.99649256,0.000726168,0.00060078304,0.0004652681,0.0012797383,0.00043551653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042212266,0.0029585962,0.0037713787,0.00624149,0.0009014563,0.005905535,0.0048685744,0.002902044,0.09037724],"category_scores_gemma":[0.0066882786,0.0014912197,0.0012297765,0.0056465412,0.0004743372,0.0041479627,0.0042828466,0.0023449499,0.13972557],"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":[0.0008277201,0.00006812949,0.00087554666,0.010030173,0.0002819024,0.00038267658,0.00013981745,0.000646305,0.049711853,0.005976899,0.78178835,0.14927056],"study_design_scores_gemma":[0.00009929816,0.000053527918,0.0009798004,0.00065852806,0.000089261914,0.00044197272,0.000038892613,0.0011468374,0.01744701,0.0033170772,0.9756554,0.000072448274],"about_ca_topic_score_codex":0.001430273,"about_ca_topic_score_gemma":0.0016794365,"teacher_disagreement_score":0.09037724,"about_ca_system_score_codex":0.0014139276,"about_ca_system_score_gemma":0.0038598583,"threshold_uncertainty_score":0.302342},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002036937,0.8772175,0.05957184,0.040322375,0.004355143,0.00014803713,0.00044603393,0.0005189948,0.015383043],"genre_scores_gemma":[0.04565656,0.86173344,0.05487314,0.019051675,0.014107601,0.00022605732,0.00068143464,0.00019576789,0.0034742877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98576725,0.0065100538,0.0008766106,0.0022296244,0.0040510236,0.0005654916],"domain_scores_gemma":[0.9732945,0.01607918,0.0018725285,0.0014810943,0.0064289765,0.0008437507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02513884,0.0015594696,0.002495284,0.004378643,0.00088954455,0.0072454433,0.0021514548,0.004569474,0.0070931506],"category_scores_gemma":[0.019581305,0.000736451,0.0018012278,0.00364602,0.004880885,0.005541407,0.0045350227,0.0070251212,0.0043699895],"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":[0.00031549897,0.00011167221,0.0034246459,0.014162316,0.0005189245,0.0006396661,0.00053387677,0.002345324,0.009402497,0.12000576,0.06290919,0.78563064],"study_design_scores_gemma":[0.00006447238,0.00028689214,0.003598535,0.006200266,0.00021486204,0.0027194526,0.00032008885,0.0031043743,0.006101143,0.10723063,0.8699429,0.00021629644],"about_ca_topic_score_codex":0.0017012698,"about_ca_topic_score_gemma":0.0010805278,"teacher_disagreement_score":0.02513884,"about_ca_system_score_codex":0.0034016133,"about_ca_system_score_gemma":0.0051358747,"threshold_uncertainty_score":0.13294846},"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":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012253171,0.80053306,0.14339699,0.01746282,0.0039310344,0.00016951564,0.0014347489,0.0014227842,0.019395914],"genre_scores_gemma":[0.08602634,0.7519647,0.121064015,0.016682658,0.0035963217,0.00029541936,0.002438364,0.00091503863,0.017017104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977197,0.0004930276,0.00007975843,0.00056309276,0.0010160442,0.00012829935],"domain_scores_gemma":[0.9978362,0.0009072088,0.0003530272,0.00014231168,0.00060132524,0.00015999326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003808038,0.0012981206,0.0015334637,0.001318995,0.0003745804,0.0028158631,0.0013994697,0.0018398084,0.0053843553],"category_scores_gemma":[0.002904116,0.0005539057,0.0007326255,0.001250671,0.0015387185,0.004145094,0.0014537444,0.0038895796,0.005435786],"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":[0.00045310872,0.00008456781,0.0011418256,0.021352751,0.00040050477,0.0011083911,0.0002884117,0.0020060353,0.28550482,0.04355325,0.064798206,0.57930815],"study_design_scores_gemma":[0.000033967,0.00020067394,0.0010205648,0.001953452,0.000118282056,0.0020292231,0.00015522608,0.002657944,0.09668171,0.029650414,0.8653966,0.000101890655],"about_ca_topic_score_codex":0.00052930915,"about_ca_topic_score_gemma":0.00067314075,"teacher_disagreement_score":0.0053843553,"about_ca_system_score_codex":0.0010455761,"about_ca_system_score_gemma":0.001245928,"threshold_uncertainty_score":0.020139039},"labels":[],"label_agreement":null}]}