{"meta":{"query_hash":"ce7c8e880afb","filters":{"venue":"PROTEOMICS - CLINICAL APPLICATIONS"},"cohort_total":57,"direct_labels_cover":0,"predictions_cover":57,"exported":57,"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/ce7c8e880afb","api":"https://metacan.xera.ac/api/v1/cohort?venue=PROTEOMICS+-+CLINICAL+APPLICATIONS"},"results":[{"id":"W1942428844","doi":"10.1002/prca.201500043","title":"Myostatin inhibitors in sports drug testing: Detection of myostatin‐neutralizing antibodies in plasma/serum by affinity purification and Western blotting","year":2015,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Myostatin; Antibody; Blot; Affinity chromatography; Molecular biology; Biology; Chemistry; Skeletal muscle; Immunology; Biochemistry; Endocrinology; Enzyme; Gene","score_opus":0.03680447849991464,"score_gpt":0.3195082918162806,"score_spread":0.28270381331636596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942428844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738175,0.00016470841,0.0012697055,0.00024406426,0.000032107677,0.00075425155,0.000024815401,0.000014123855,0.00011445349],"genre_scores_gemma":[0.9940284,0.00015758564,0.0053356327,0.00006876046,0.000046636087,0.00025495232,0.00007959698,0.000014523339,0.000013911363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985458,0.00012709432,0.0006740462,0.00039838167,0.000079068166,0.00017559486],"domain_scores_gemma":[0.99914956,0.00013787624,0.00031750128,0.00022199159,0.00009136599,0.0000816979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008190311,0.00012580033,0.00020479037,0.00006057929,0.000053261207,0.000010849463,0.00011087394,0.00016802916,4.7349036e-7],"category_scores_gemma":[0.0005466927,0.0001373329,0.000034340417,0.00019339421,0.00017977155,0.00001234751,0.00008120311,0.00020800461,0.000001432419],"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":[0.00011749985,0.00034208337,0.63929224,0.000045691966,0.0000063615175,2.7386892e-7,0.00018659694,0.00013603744,0.34692612,0.00004356544,0.000047630503,0.012855923],"study_design_scores_gemma":[0.0026072606,0.00039881843,0.52501804,0.00008170272,0.000026559728,0.0000044260273,0.0009900393,0.0012616132,0.4633693,0.0045838417,0.0011668849,0.0004915216],"about_ca_topic_score_codex":0.00012619051,"about_ca_topic_score_gemma":0.000347347,"teacher_disagreement_score":0.11644318,"about_ca_system_score_codex":0.000011568332,"about_ca_system_score_gemma":0.00007710892,"threshold_uncertainty_score":0.5600273},"labels":[],"label_agreement":null},{"id":"W1965259462","doi":"10.1002/prca.200780133","title":"Proteomics analysis of liver pathological calcification suggests a role for the IQ motif containing GTPase activating protein 1 in myofibroblast function","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Alkaline Phosphatase Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Myofibroblast; IQGAP1; Biology; Cytoskeleton; Cell biology; Proteomics; Actin cytoskeleton; Actin; Calcification; Liver injury; Intermediate filament; Pathology; Scaffold protein; Signal transduction; Cell; Fibrosis; Medicine; Endocrinology; Biochemistry; Gene","score_opus":0.07247693281436854,"score_gpt":0.4017454812057333,"score_spread":0.32926854839136477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965259462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56352353,0.00061719527,0.41553354,0.004756983,0.000012141982,0.015222889,0.00016802357,0.00008660472,0.00007909352],"genre_scores_gemma":[0.9349499,0.0001670379,0.055997923,0.00021541612,0.00015526466,0.008210359,0.00024994163,0.000019545527,0.00003462813],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99728173,0.0001580627,0.0012357343,0.00061310624,0.0003324332,0.00037895754],"domain_scores_gemma":[0.99673116,0.0013451366,0.0005672027,0.00069750566,0.0005144058,0.00014458691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002227557,0.00021761697,0.00070865353,0.00024217812,0.00025811346,0.000030302357,0.00025252177,0.00022032025,0.000013691851],"category_scores_gemma":[0.0026429838,0.00015917,0.00036244196,0.0013834401,0.0002862392,0.00010430683,0.00009744593,0.0005957731,0.0000075450116],"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":[0.011236616,0.009421392,0.16578919,0.0006105891,0.0036629308,0.000012854347,0.0013215141,0.002192388,0.36890566,0.057831984,0.00020187431,0.37881303],"study_design_scores_gemma":[0.0028439383,0.002072336,0.86936796,0.00014380756,0.0012230645,0.0000041753856,0.0005126692,0.102465615,0.012688026,0.0074607516,0.0008843338,0.00033330047],"about_ca_topic_score_codex":0.00007307776,"about_ca_topic_score_gemma":0.000047241334,"teacher_disagreement_score":0.7035788,"about_ca_system_score_codex":0.00013589121,"about_ca_system_score_gemma":0.00018172122,"threshold_uncertainty_score":0.64907646},"labels":[],"label_agreement":null},{"id":"W1968352263","doi":"10.1002/prca.201400178","title":"Development and evaluation of a multiplexed mass spectrometry based assay for measuring candidate peptide biomarkers in Alzheimer's Disease Neuroimaging Initiative (ADNI) CSF","year":2015,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Alzheimer's Disease Neuroimaging Initiative; Neuroimaging; Medicine; Biomarker; Oncology; Univariate analysis; Internal medicine; Univariate; Alzheimer's disease; Multivariate analysis; Disease; Psychology; Bioinformatics; Multivariate statistics; Neuroscience; Biology; Computer science; Machine learning","score_opus":0.23094233630099198,"score_gpt":0.4268854061881388,"score_spread":0.19594306988714683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968352263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9289882,0.0029472108,0.048591264,0.0025660452,0.000046929967,0.015820568,0.0003261719,0.00008076369,0.0006328058],"genre_scores_gemma":[0.82989144,0.000022423126,0.16600478,0.0000970933,0.000039791656,0.0036863529,0.0002317652,0.000025489184,8.5668006e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767756,0.0002526632,0.0007035329,0.0004930398,0.00057960587,0.00029357095],"domain_scores_gemma":[0.99755317,0.00050765433,0.0002420465,0.00033236094,0.0006892013,0.0006755788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003004716,0.00017515238,0.00034551532,0.00023662669,0.000087601016,0.000023955534,0.000103657905,0.0000627048,0.000007817849],"category_scores_gemma":[0.0015754323,0.0001639129,0.00010099691,0.00033076352,0.00016780302,0.00010593822,0.000054253822,0.00017468185,0.000009492005],"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":[0.0056525706,0.00416156,0.9355696,0.00026189684,0.007893386,0.000023681523,0.0002679164,0.00020994143,0.0029485477,0.0004957432,0.00008281887,0.042432368],"study_design_scores_gemma":[0.030365188,0.00040644046,0.7487261,0.00030323607,0.003904196,0.0000034503892,0.00034140906,0.18846895,0.015523243,0.011119257,0.00026627435,0.00057222135],"about_ca_topic_score_codex":0.00003969278,"about_ca_topic_score_gemma":0.000021827404,"teacher_disagreement_score":0.188259,"about_ca_system_score_codex":0.00020350699,"about_ca_system_score_gemma":0.0021767952,"threshold_uncertainty_score":0.6684174},"labels":[],"label_agreement":null},{"id":"W1970347697","doi":"10.1002/prca.201200079","title":"Proteomic analyses of serous and endometrioid epithelial ovarian cancers – Cases studies – Molecular insights of a possible histological etiology of serous ovarian cancer","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique","keywords":"Serous fluid; Ovarian cancer; Fallopian tube; Clear cell; Pathology; Serous Cystadenoma; Serous carcinoma; Biology; Adenocarcinoma; Endometrium; Context (archaeology); Serous ovarian cancer; Cystadenocarcinoma; Cancer research; Medicine; Oncology; Cancer; Internal medicine; Carcinoma; Gynecology","score_opus":0.08939373316208145,"score_gpt":0.417016033686811,"score_spread":0.32762230052472957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970347697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94454974,0.0017139892,0.049723078,0.0004773086,0.000024073493,0.0027683233,0.0003716903,0.00008188645,0.0002899308],"genre_scores_gemma":[0.817489,0.0027896832,0.17149842,0.00006540656,0.00006961118,0.007967841,0.000033564054,0.000033888056,0.000052538075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996899,0.00009631245,0.0017659009,0.0007124459,0.0002064714,0.0003198474],"domain_scores_gemma":[0.9960948,0.00069965003,0.0014928988,0.00084401894,0.00070001726,0.00016860622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028579205,0.0003247653,0.0011427439,0.00017874231,0.00014268007,0.000012478075,0.0005216317,0.00040431312,0.00010381666],"category_scores_gemma":[0.0005755769,0.0002836758,0.0002528933,0.00059245405,0.0012647932,0.00010106726,0.00028542944,0.00044967644,0.0000037371144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014242185,0.00042244885,0.0041792006,0.00040760063,0.00041923026,0.0000018895188,0.00013047586,0.00022727331,0.9768272,0.011406376,0.000029423016,0.005806447],"study_design_scores_gemma":[0.0013428705,0.00030166726,0.0016670442,0.00012025684,0.00032859936,0.000024726947,0.00016676559,0.00049558526,0.9413652,0.053310987,0.00047526433,0.0004010457],"about_ca_topic_score_codex":0.0021687197,"about_ca_topic_score_gemma":0.000055760203,"teacher_disagreement_score":0.12706068,"about_ca_system_score_codex":0.00014487062,"about_ca_system_score_gemma":0.0003097222,"threshold_uncertainty_score":0.99996156},"labels":[],"label_agreement":null},{"id":"W1976731666","doi":"10.1002/prca.201000153","title":"Diagnosis of subclinical and clinical acute T‐cell‐mediated rejection in renal transplant patients by urinary proteome analysis","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Metabolomics Innovation Centre","funders":"","keywords":"Subclinical infection; Medicine; Urinary system; Biopsy; Transplantation; Urine; Pathology; Concomitant; Renal biopsy; Gastroenterology; Internal medicine; Urology","score_opus":0.047192744294877416,"score_gpt":0.3563932188026466,"score_spread":0.3092004745077692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976731666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882201,0.00008200539,0.007471938,0.00022180345,0.000043418127,0.003183202,0.00046939158,0.000044725617,0.00026342642],"genre_scores_gemma":[0.97115993,0.005396133,0.02078293,0.00017996285,0.000041029765,0.001540666,0.0007977138,0.000026615566,0.000075039075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99635077,0.00021998536,0.0022091742,0.0006850025,0.00027487482,0.00026021717],"domain_scores_gemma":[0.997742,0.000778596,0.00052820164,0.00045167428,0.00015541981,0.0003441192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000774982,0.00023687327,0.0009471848,0.00023880234,0.00006649232,0.000009265821,0.00015742141,0.0003736709,0.00006799348],"category_scores_gemma":[0.00010946943,0.00019820336,0.0005031438,0.0007851602,0.0002986521,0.000092225724,0.000035060355,0.0005347085,0.000027342421],"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":[0.001080809,0.0075178915,0.9884387,0.00008940569,0.00090236403,0.000014239731,0.00008840066,5.7435255e-7,0.00012283266,0.000042051608,0.000015981466,0.0016867344],"study_design_scores_gemma":[0.0059709856,0.0015492792,0.9872215,0.000106567866,0.0029312982,0.0000066074704,0.000008404388,0.00020173531,0.0014325449,0.00029211352,0.00009440903,0.00018456586],"about_ca_topic_score_codex":0.00012205643,"about_ca_topic_score_gemma":0.000030376734,"teacher_disagreement_score":0.01706018,"about_ca_system_score_codex":0.00003594033,"about_ca_system_score_gemma":0.00008201172,"threshold_uncertainty_score":0.80824983},"labels":[],"label_agreement":null},{"id":"W1984161169","doi":"10.1002/prca.200600890","title":"An evaluation of multidimensional fingerprinting in the context of clinical proteomics","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"False discovery rate; Peptide mass fingerprinting; Proteome; Context (archaeology); Proteomics; Mass spectrometry; Tandem mass spectrometry; Computational biology; Peptide; Human proteome project; Chromatography; Tandem mass tag; Chemistry; Computer science; Biology; Bioinformatics; Quantitative proteomics; Biochemistry; Gene","score_opus":0.11389768122769402,"score_gpt":0.47407603810096166,"score_spread":0.36017835687326766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984161169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543864,0.00004279916,0.24079448,0.00025335106,0.000028481792,0.0028183076,0.000058275615,0.000050662227,0.0015672399],"genre_scores_gemma":[0.6894259,0.000054545257,0.30843574,0.0001288576,0.00021250338,0.0016493812,0.000062602136,0.000023194087,0.000007263009],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949816,0.00021900752,0.003254761,0.0006326898,0.0006017585,0.0003101688],"domain_scores_gemma":[0.9946029,0.0017152579,0.0015276517,0.0012868664,0.0007450478,0.00012225537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014519952,0.0002056836,0.0005498758,0.00008065043,0.00012885289,0.000012720105,0.00080589566,0.0003969207,0.00007011501],"category_scores_gemma":[0.0011947018,0.00017608679,0.0002806852,0.00036466846,0.000489524,0.00011419094,0.00012115861,0.00088135904,0.000009373583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057183334,0.0075698392,0.22437507,0.00022821748,0.00011255764,0.0000010685881,0.00064522494,0.0005567973,0.2801095,0.13658236,0.00008251245,0.349165],"study_design_scores_gemma":[0.0070260516,0.00042803682,0.07082413,0.0002933397,0.00041638492,0.000017817627,0.0024843912,0.06507259,0.72786826,0.115174666,0.009246088,0.0011482394],"about_ca_topic_score_codex":0.00006986199,"about_ca_topic_score_gemma":0.00005601555,"teacher_disagreement_score":0.44775876,"about_ca_system_score_codex":0.000057645757,"about_ca_system_score_gemma":0.00028590564,"threshold_uncertainty_score":0.7180611},"labels":[],"label_agreement":null},{"id":"W1993141108","doi":"10.1002/prca.201200013","title":"Plasma proteomics can discriminate isolated early from dual responses in asthmatic individuals undergoing an allergen inhalation challenge","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université Laval; Vancouver General Hospital; Vancouver Coastal Health Research Institute; Vancouver Coastal Health; St. Paul's Hospital; McMaster University; Prevention of Organ Failure; University of British Columbia Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Asthma; Inhalation; Allergen; Proteome; Immunology; Medicine; Proteomics; Allergy; Bioinformatics; Biology; Anesthesia","score_opus":0.06017133882629269,"score_gpt":0.3582062063474086,"score_spread":0.29803486752111585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993141108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8754684,0.00008361298,0.11831086,0.0013759936,0.000040722676,0.0028743674,0.0005075495,0.0004165624,0.000921976],"genre_scores_gemma":[0.7535077,0.00031473069,0.23730803,0.000089395035,0.00040089313,0.007550777,0.00060089846,0.00010357096,0.00012403578],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960055,0.0001955429,0.0017653246,0.0009275959,0.00032532032,0.0007807659],"domain_scores_gemma":[0.99643934,0.0008428499,0.0008072011,0.0012959254,0.00013251913,0.00048214235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001039769,0.00046996193,0.00059804803,0.00016959643,0.00036899553,0.000114584574,0.00067352405,0.00067198783,0.00012774112],"category_scores_gemma":[0.00034345657,0.00050703785,0.00017914017,0.00041776508,0.00023046156,0.0005873266,0.0003209882,0.0011544683,0.000098873395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016186528,0.015078526,0.4858824,0.0006995035,0.00074453553,0.000012404694,0.009966654,0.00084845035,0.26693437,0.15660144,0.0001826501,0.06143042],"study_design_scores_gemma":[0.011656836,0.0012321202,0.1032953,0.0010052364,0.00069860654,0.00006331164,0.0026514994,0.03946619,0.2110894,0.6068638,0.015028749,0.0069489926],"about_ca_topic_score_codex":0.00026714045,"about_ca_topic_score_gemma":0.00031033182,"teacher_disagreement_score":0.4502623,"about_ca_system_score_codex":0.00025238743,"about_ca_system_score_gemma":0.00019345719,"threshold_uncertainty_score":0.9997381},"labels":[],"label_agreement":null},{"id":"W2006206759","doi":"10.1002/prca.201300104","title":"Ensembles of protein termini and specific proteolytic signatures as candidate biomarkers of disease","year":2014,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Biomarker; Biomarker discovery; Proteomics; Computational biology; Proteome; Proteolysis; Disease; Biology; Proteolytic enzymes; Bioinformatics; Medicine; Biochemistry; Pathology; Enzyme; Gene","score_opus":0.03801551632603963,"score_gpt":0.38301905659436825,"score_spread":0.34500354026832863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006206759","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007734209,0.9465783,0.034961864,0.00015433677,0.000022745735,0.014310855,0.0016276501,0.00022124662,0.0013495345],"genre_scores_gemma":[0.00077380816,0.89070225,0.08689671,0.000018211174,0.00021466281,0.02054837,0.00041524778,0.00013962146,0.0002911272],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953492,0.00011119025,0.0027186195,0.0011556823,0.00029279187,0.00037247333],"domain_scores_gemma":[0.99420524,0.00061318086,0.0026984555,0.0018697528,0.00021108182,0.00040230015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006239073,0.0006429422,0.0022194015,0.00017542698,0.00015721424,0.00003780218,0.0009976509,0.00075604493,0.00008097206],"category_scores_gemma":[0.0002865286,0.00057310594,0.00074079377,0.00039909006,0.0009336133,0.00006303162,0.00040069548,0.00090051367,0.000024428236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014899502,0.000743254,0.000036300647,0.044231407,0.00038797277,0.0000018819143,0.000013269964,0.0000012369994,0.004877456,0.038020637,0.00014696561,0.9113906],"study_design_scores_gemma":[0.0003900484,0.00008667547,0.00000396669,0.006310729,0.00065413787,0.0000062240642,0.000006149868,0.000032743486,0.0057287505,0.036881946,0.94917715,0.00072149775],"about_ca_topic_score_codex":0.000022536778,"about_ca_topic_score_gemma":0.000001805375,"teacher_disagreement_score":0.94903016,"about_ca_system_score_codex":0.000068000416,"about_ca_system_score_gemma":0.0005110355,"threshold_uncertainty_score":0.99967206},"labels":[],"label_agreement":null},{"id":"W2013679887","doi":"10.1002/prca.200600802","title":"An experimental strategy for quantitative analysis of the humoral immune response to prostate cancer antigens using natural protein microarrays","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institutes of Health; Van Andel Research Institute; Michigan Economic Development Corporation","keywords":"Prostate cancer; Antigen; Immune system; Proteomics; Biology; DNA microarray; Cancer; Protein microarray; Tissue microarray; Cancer biomarkers; Cancer research; Immunohistochemistry; Computational biology; Immunology; Pathology; Medicine; Gene expression; Biochemistry; Gene; Genetics","score_opus":0.05722771874865967,"score_gpt":0.45730002844807005,"score_spread":0.4000723096994104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013679887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7416359,0.00011471059,0.25476256,0.0002226533,0.00001780436,0.0029903601,0.00023533679,0.000016176367,0.0000044499975],"genre_scores_gemma":[0.75885224,0.000008343575,0.24000439,0.00011009624,0.000053568187,0.00080963626,0.00008870946,0.000019533625,0.000053467058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984987,0.00007786043,0.00062559836,0.00046680105,0.00009290806,0.00023817769],"domain_scores_gemma":[0.99858266,0.000053694897,0.0003375197,0.0006581975,0.0002771592,0.000090758185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007886871,0.00014975702,0.0002472841,0.00007248301,0.00024072918,0.000019682355,0.000342586,0.00012610003,0.0000015971548],"category_scores_gemma":[0.00008499342,0.00012341027,0.00026024,0.0005625033,0.00024232293,0.000006823096,0.000102068276,0.00012920251,4.928356e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084054715,0.0002451135,0.00060918735,0.0000048293114,0.00011412433,4.874463e-8,0.000048900023,0.0007076436,0.9958031,0.0010661801,0.00000831823,0.0005520078],"study_design_scores_gemma":[0.00027511374,0.000349309,0.0076364386,0.000010312421,0.000118883065,6.887672e-7,0.00018080998,0.0019920752,0.98750687,0.00032561205,0.0014167576,0.00018716184],"about_ca_topic_score_codex":0.00005050112,"about_ca_topic_score_gemma":0.00008003541,"teacher_disagreement_score":0.017216304,"about_ca_system_score_codex":0.00003733867,"about_ca_system_score_gemma":0.00012667022,"threshold_uncertainty_score":0.5032525},"labels":[],"label_agreement":null},{"id":"W2023370513","doi":"10.1002/prca.201300055","title":"Imaging mass spectrometry: A new tool for pathology in a molecular age","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Center for Research Resources; National Institute of General Medical Sciences","keywords":"Laser capture microdissection; MALDI imaging; Mass spectrometry imaging; Proteomics; Mass spectrometry; Microdissection; Computer science; Molecular imaging; Computational biology; Biomedical engineering; Pathology; Chemistry; Medicine; Chromatography; Matrix-assisted laser desorption/ionization; Biology; Biotechnology","score_opus":0.0220609971319176,"score_gpt":0.33240869382139243,"score_spread":0.3103476966894748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023370513","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041801788,0.00008917874,0.9366257,0.005934158,0.000017299844,0.0033550896,0.00006520077,0.00033183568,0.011779704],"genre_scores_gemma":[0.24981277,0.00007710934,0.72962236,0.0006092723,0.00026909536,0.018497765,0.00012218149,0.000059958154,0.00092947495],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99772304,0.000023599845,0.0009275884,0.00072736066,0.00012691821,0.00047151514],"domain_scores_gemma":[0.9982042,0.0003297207,0.00025343342,0.00094191526,0.00008375134,0.00018700346],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037506912,0.00022615975,0.00039423935,0.00013876484,0.00009421449,0.00009330977,0.0005970199,0.00022334013,0.0013861555],"category_scores_gemma":[0.00023282663,0.00024039748,0.00024017095,0.0005108753,0.0001231251,0.000086166874,0.00011728125,0.0004987997,0.00014346869],"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":[0.000018411327,0.0005401386,0.011680899,0.00007833781,0.000031003005,0.000006541148,0.000016990769,0.0000049102664,0.7292136,0.23377757,0.0022339195,0.022397684],"study_design_scores_gemma":[0.0013570645,0.000049941955,0.0023460758,0.000023087643,0.00004712729,0.0000158606,0.000029144758,0.0023127438,0.062826075,0.89101374,0.03942053,0.00055862503],"about_ca_topic_score_codex":0.00007622453,"about_ca_topic_score_gemma":0.000006265659,"teacher_disagreement_score":0.6663875,"about_ca_system_score_codex":0.0001111662,"about_ca_system_score_gemma":0.000099541976,"threshold_uncertainty_score":0.99952674},"labels":[],"label_agreement":null},{"id":"W2028369276","doi":"10.1002/prca.200800030","title":"High‐resolution biomarker discovery: Moving from large‐scale proteome profiling to quantitative validation of lead candidates","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Biomarker discovery; Context (archaeology); Proteomics; Computer science; Proteome; Computational biology; Biomarker; Precision medicine; Data science; Personalized medicine; Bioinformatics; Medicine; Biology; Pathology","score_opus":0.04995304309119984,"score_gpt":0.3603436232204883,"score_spread":0.31039058012928844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028369276","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4905648,0.00003363201,0.50579554,0.00037738582,0.000018869834,0.0017685886,0.0010488514,0.0001547561,0.0002375934],"genre_scores_gemma":[0.48794785,0.00010571174,0.50535405,0.00006276728,0.00012496898,0.005430283,0.00074550346,0.000045560784,0.00018332557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99693894,0.00006161595,0.0013757771,0.00090466894,0.00030362007,0.00041540124],"domain_scores_gemma":[0.9973378,0.00042794104,0.0007425261,0.0009977723,0.00031563954,0.00017830728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046925741,0.00030927904,0.0005460279,0.000109023764,0.00044323065,0.000045988352,0.00056603795,0.00030704122,0.00005865329],"category_scores_gemma":[0.00030764742,0.0003175758,0.00021822412,0.0005371757,0.0002749933,0.00034435105,0.00028578175,0.00046046515,0.0000928071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025378994,0.00084329746,0.019961149,0.00008597435,0.00008977571,8.0363776e-7,0.0002347333,0.0003341088,0.9615258,0.015595624,0.00016803718,0.00090690225],"study_design_scores_gemma":[0.00068533776,0.00007308231,0.0016515992,0.00008026435,0.000060714818,0.0000028152426,0.00014782285,0.004473257,0.963108,0.027609933,0.0016597217,0.00044744258],"about_ca_topic_score_codex":0.00027871292,"about_ca_topic_score_gemma":0.000028532018,"teacher_disagreement_score":0.01830955,"about_ca_system_score_codex":0.0001366663,"about_ca_system_score_gemma":0.00016471407,"threshold_uncertainty_score":0.99992764},"labels":[],"label_agreement":null},{"id":"W2032289031","doi":"10.1002/prca.201200068","title":"Computational approaches to predicting essential proteins: A survey","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computational biology; Genome; Biology; Computer science; Data science; Genetics; Gene","score_opus":0.24132492858844048,"score_gpt":0.4155780257776774,"score_spread":0.1742530971892369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032289031","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006352108,0.4952986,0.49286625,0.00009661776,0.0001730193,0.009877187,0.00069281773,0.000084600244,0.0008474082],"genre_scores_gemma":[0.00022721016,0.6260194,0.34532216,0.00022852757,0.0028734559,0.01211468,0.012588067,0.00019410605,0.00043236688],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964305,0.00051358057,0.0016716836,0.0007055287,0.00025959872,0.0004190661],"domain_scores_gemma":[0.99746966,0.0002958714,0.0008780659,0.0008933634,0.00013282029,0.0003302148],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002354059,0.00044747902,0.0009552716,0.00009637359,0.00021043702,0.000086824104,0.0008040761,0.0007564004,0.000017403658],"category_scores_gemma":[0.0007803816,0.00041015985,0.00046772853,0.00033515145,0.00015455969,0.0000067056676,0.00064543536,0.0007911524,0.00036926224],"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":[0.000038343245,0.00067917164,0.0017258781,0.00593512,0.0005554524,2.0487334e-7,0.000037893977,0.0004985718,0.000003913573,0.0016336208,0.00079210673,0.9880997],"study_design_scores_gemma":[0.0001788695,0.00011192328,0.00020864546,0.0003009531,0.00028315422,0.000015669495,0.000002699985,0.0007133089,0.000005664489,0.00012832462,0.99754715,0.00050361594],"about_ca_topic_score_codex":0.0000149439575,"about_ca_topic_score_gemma":0.000016726775,"teacher_disagreement_score":0.99675506,"about_ca_system_score_codex":0.000037594564,"about_ca_system_score_gemma":0.00046703673,"threshold_uncertainty_score":0.999835},"labels":[],"label_agreement":null},{"id":"W2034941134","doi":"10.1002/prca.200700146","title":"Nine steps to proteomic wisdom: A practical guide to using protein‐protein interaction networks and molecular pathways as a framework for interpreting disease proteomic profiles","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Disease; Spurious relationship; Computational biology; False positive paradox; Profiling (computer programming); Protein–protein interaction; Biology; Representation (politics); Proteomics; Computer science; Bioinformatics; Neuroscience; Gene; Machine learning; Genetics; Medicine; Pathology","score_opus":0.02912634807593014,"score_gpt":0.38523830145267113,"score_spread":0.356111953376741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034941134","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40291384,0.00004518175,0.58246815,0.0013281307,0.00006337879,0.013037807,0.000039959243,0.000037899466,0.00006565251],"genre_scores_gemma":[0.42437905,0.000008846853,0.56537545,0.00159245,0.00068658736,0.0077059343,0.00009312433,0.000081059414,0.00007750396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99637765,0.00011549838,0.0014922284,0.0010515419,0.00021691094,0.00074615923],"domain_scores_gemma":[0.9971969,0.00014849474,0.0005562241,0.0008878936,0.00032918405,0.0008812792],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021056,0.00044162138,0.00045049514,0.00012342806,0.00032577198,0.00017682795,0.00040725694,0.0005220039,0.000009309595],"category_scores_gemma":[0.0019042951,0.00044677834,0.00024166946,0.00029516726,0.00017363403,0.000028747183,0.0005869998,0.0006493834,0.000027781076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051045185,0.000676461,0.00073681097,0.00029738463,0.00027565632,0.000008428353,0.00014145041,0.0019353925,0.942303,0.030153494,0.0006471095,0.01772028],"study_design_scores_gemma":[0.006125624,0.0069719926,0.001091074,0.0027274964,0.0006833525,0.00017183446,0.00072808145,0.17121886,0.65916175,0.08084175,0.06507584,0.005202368],"about_ca_topic_score_codex":0.000020473659,"about_ca_topic_score_gemma":0.000008271477,"teacher_disagreement_score":0.2831413,"about_ca_system_score_codex":0.000103468454,"about_ca_system_score_gemma":0.00033920282,"threshold_uncertainty_score":0.9997984},"labels":[],"label_agreement":null},{"id":"W2036692122","doi":"10.1002/prca.200700366","title":"The significance of organellar proteomics for the nervous system","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Proteome; Nervous system; Organelle; Biology; Function (biology); Synaptic vesicle; Neuroscience; Computational biology; Vesicle; Cell biology; Bioinformatics; Biochemistry","score_opus":0.023042424665122005,"score_gpt":0.33167728757990556,"score_spread":0.30863486291478354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036692122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2970196,0.00027162256,0.69089276,0.0011311659,0.00037125903,0.00980635,0.00012090013,0.00003601975,0.0003503473],"genre_scores_gemma":[0.97545105,0.00015730615,0.020090166,0.00017329883,0.0012661173,0.0024274634,0.000047725985,0.000033919354,0.00035292178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986053,0.000040064937,0.0006734438,0.0003199417,0.000113047514,0.00024818786],"domain_scores_gemma":[0.9981625,0.0003939131,0.00032665112,0.0007963615,0.00024625706,0.00007429736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014603761,0.0001305279,0.00017122959,0.000010777431,0.00035936775,0.00002471986,0.00059212494,0.00019693714,0.000001218645],"category_scores_gemma":[0.00019524789,0.00007640323,0.00019129079,0.00012105934,0.0003265492,0.000002061563,0.00009063153,0.00016929713,0.000005353401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024172699,0.000091688766,0.0011019734,0.000076422024,0.000076397744,1.3760226e-7,0.000016537326,0.00002435465,0.9709909,0.0077629955,0.00035214986,0.019264732],"study_design_scores_gemma":[0.0004731732,0.00017661144,0.0025238253,0.0000063248253,0.00010731143,0.000007602377,0.00013796531,0.00009207467,0.8731613,0.00032979104,0.12283122,0.00015278233],"about_ca_topic_score_codex":0.000010330397,"about_ca_topic_score_gemma":0.000029317138,"teacher_disagreement_score":0.67843145,"about_ca_system_score_codex":0.000013854463,"about_ca_system_score_gemma":0.0001327374,"threshold_uncertainty_score":0.31156334},"labels":[],"label_agreement":null},{"id":"W2049915602","doi":"10.1002/prca.201400019","title":"Quality evaluation of LC‐MS/MS‐based <i>E. coli</i> H antigen typing (MS‐H) through label‐free quantitative data analysis in a clinical sample setup","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","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; Public Health Agency of Canada","funders":"","keywords":"Typing; Escherichia coli; Chromatography; Biology; Chemistry; Microbiology; Genetics","score_opus":0.30498156564835016,"score_gpt":0.5311308439406458,"score_spread":0.22614927829229564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049915602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59253514,0.00028537746,0.40232787,0.001054764,0.000034804943,0.002143883,0.0008872059,0.000019623001,0.0007113203],"genre_scores_gemma":[0.7460755,0.0007400551,0.24920796,0.0005930014,0.00022576832,0.001031017,0.0020857481,0.00002859494,0.00001235893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942839,0.0020239067,0.0017809508,0.0010842794,0.00049218704,0.00033477426],"domain_scores_gemma":[0.99376833,0.0019858482,0.0007098535,0.002569206,0.00084134104,0.00012539573],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.013907193,0.00021024357,0.0007049248,0.000084244486,0.00015695514,0.000029804467,0.0012000672,0.00031042387,0.00002363911],"category_scores_gemma":[0.017453108,0.00020769001,0.00025985952,0.0009412429,0.0005686349,0.000020220881,0.00089229335,0.0004017745,0.000011752138],"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":[0.0012607469,0.0054092472,0.89680505,0.00025899746,0.0028590262,2.9163607e-7,0.00013965045,0.0018086785,0.05290059,0.018670518,0.002949447,0.016937742],"study_design_scores_gemma":[0.007781742,0.0010126171,0.6856804,0.00005964451,0.001192844,3.2470135e-7,0.00018401744,0.23740667,0.004858658,0.025412174,0.03549358,0.0009173393],"about_ca_topic_score_codex":0.0006192323,"about_ca_topic_score_gemma":0.0028378,"teacher_disagreement_score":0.235598,"about_ca_system_score_codex":0.00003737487,"about_ca_system_score_gemma":0.0005288136,"threshold_uncertainty_score":0.9908233},"labels":[],"label_agreement":null},{"id":"W2067969536","doi":"10.1002/prca.201100046","title":"The salivary proteome: Challenges and perspectives","year":2011,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Western University","funders":"Canadian Institutes of Health Research","keywords":"Saliva; Proteome; Proteolysis; Salivary Proteins; Gingivitis; Secretion; Biology; Salivary gland; Physiology; Internal medicine; Immunology; Medicine; Bioinformatics; Endocrinology; Biochemistry; Enzyme; Dentistry","score_opus":0.289706248196207,"score_gpt":0.42651887635157315,"score_spread":0.13681262815536616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067969536","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015179775,0.97859365,0.0009280259,0.0016872211,0.00008742215,0.007600807,0.00003981345,0.00012368168,0.010937838],"genre_scores_gemma":[0.0000048668953,0.98274606,0.0042227567,0.00008118686,0.00074985716,0.011118539,0.00006306671,0.000071291004,0.0009423975],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763626,0.00017130874,0.0009964164,0.00076327875,0.00013545468,0.000297285],"domain_scores_gemma":[0.99725115,0.00088367116,0.00041568722,0.0010352242,0.00014422635,0.0002700094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076167245,0.00037170362,0.0012395489,0.000086190295,0.0004413808,0.000043067543,0.0002861735,0.00049729465,0.00003693816],"category_scores_gemma":[0.00034951084,0.0002200171,0.0005734253,0.00020225706,0.0006015091,0.000043085165,0.0001800343,0.0009815687,0.00020681974],"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":[0.000032845543,0.0003824457,0.000017656103,0.001972043,0.00028574682,8.823898e-7,0.00009123558,2.3411748e-9,4.8025697e-8,0.046743423,0.0004058028,0.9500679],"study_design_scores_gemma":[0.00033767338,0.00020060231,0.00036035513,0.00073848857,0.0011068246,0.000076905955,0.0001985862,0.0000020680939,6.520698e-8,0.008717886,0.9880184,0.00024216808],"about_ca_topic_score_codex":0.000008399531,"about_ca_topic_score_gemma":0.0000070102565,"teacher_disagreement_score":0.98761255,"about_ca_system_score_codex":0.000039117243,"about_ca_system_score_gemma":0.00037586896,"threshold_uncertainty_score":0.8972037},"labels":[],"label_agreement":null},{"id":"W2089667852","doi":"10.1002/prca.200700009","title":"Development of an immuno tandem mass spectrometry (iMALDI) assay for EGFR diagnosis","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":64,"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":"University of North Carolina at Chapel Hill; National Institutes of Health; Small Business Innovation Research","keywords":"Peptide; Epidermal growth factor receptor; Chemistry; Tandem mass spectrometry; False positive paradox; Mass spectrometry; Peptide sequence; Amino acid; Biomarker; Molecular biology; Computational biology; Chromatography; Receptor; Biochemistry; Biology; Computer science","score_opus":0.044539639750855356,"score_gpt":0.37031823088818316,"score_spread":0.3257785911373278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089667852","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.120370455,0.00007605939,0.8649349,0.00038371971,0.000026858437,0.0018403581,0.00014415834,0.00030692076,0.011916564],"genre_scores_gemma":[0.30142447,0.000079237274,0.691848,0.00006815019,0.00026006412,0.005878143,0.00019970693,0.00004642161,0.00019585533],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968489,0.00002008596,0.0016932845,0.00068445253,0.00027323392,0.00048003448],"domain_scores_gemma":[0.9968963,0.0009102253,0.0006480094,0.0010458067,0.00023592167,0.00026372087],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023455264,0.00026044637,0.00047704205,0.00013967174,0.00030682946,0.000041126175,0.0008132581,0.0003693413,0.00081835006],"category_scores_gemma":[0.00023448879,0.00027027578,0.00027360173,0.0005529762,0.00017403993,0.00008910043,0.00011637982,0.00043546603,0.000027967943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001369006,0.0039129043,0.026189132,0.00029370555,0.0002722848,8.701105e-7,0.00009223881,0.000003008463,0.626379,0.2006675,0.00040646666,0.14164601],"study_design_scores_gemma":[0.0008024792,0.00010312907,0.004499078,0.000030501704,0.00008329628,0.0000033148892,0.00011446536,0.00028751118,0.8017829,0.047782782,0.14401123,0.00049929484],"about_ca_topic_score_codex":0.000008183239,"about_ca_topic_score_gemma":0.000019163237,"teacher_disagreement_score":0.18105401,"about_ca_system_score_codex":0.00020193703,"about_ca_system_score_gemma":0.00016615969,"threshold_uncertainty_score":0.99997497},"labels":[],"label_agreement":null},{"id":"W2090166572","doi":"10.1002/prca.200800019","title":"A qualitative proteome investigation of the sediment portion of human urine: Implications in the biomarker discovery process","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Institute for Marine Biosciences; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Biomarker discovery; Proteome; Biomarker; Urine; Computational biology; Process (computing); Sediment; Human proteome project; Biology; Proteomics; Bioinformatics; Medicine; Computer science; Internal medicine; Genetics; Gene; Paleontology","score_opus":0.1060451235873162,"score_gpt":0.44031170946011206,"score_spread":0.33426658587279584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090166572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94521964,0.000026495803,0.046433188,0.0031929608,0.000008785421,0.0039389487,0.0001960585,0.00005449606,0.00092943094],"genre_scores_gemma":[0.96984327,0.00006303792,0.015381507,0.0001341662,0.000059599006,0.014250878,0.0001207579,0.000026388896,0.000120421704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99725026,0.00014699087,0.001611518,0.00046394285,0.0003124386,0.00021483233],"domain_scores_gemma":[0.99677044,0.00039502943,0.0012980063,0.0011951724,0.00028109382,0.00006023116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010117445,0.0002016723,0.00033710434,0.000069190966,0.00034572982,0.000014767401,0.00092494837,0.00018982406,0.000015756561],"category_scores_gemma":[0.00018368075,0.00014074694,0.00022243359,0.00085800735,0.0009766814,0.000184185,0.00013698508,0.00048559668,0.0000024965868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007996866,0.001894983,0.10027309,0.0004640018,0.0000879122,3.0444465e-7,0.005211173,0.000102534745,0.7426412,0.14814141,0.00020073207,0.0009026703],"study_design_scores_gemma":[0.000983439,0.000092318005,0.08975538,0.00015254735,0.00008529096,0.000016606544,0.0013004891,0.00020637509,0.53572893,0.3707334,0.00053397997,0.00041121966],"about_ca_topic_score_codex":0.00006703311,"about_ca_topic_score_gemma":0.000017028407,"teacher_disagreement_score":0.222592,"about_ca_system_score_codex":0.000068504945,"about_ca_system_score_gemma":0.00021749742,"threshold_uncertainty_score":0.57394934},"labels":[],"label_agreement":null},{"id":"W2095461923","doi":"10.1002/prca.200800190","title":"A proteomic approach combining MS and bioinformatic analysis for the detection and identification of biomarkers of administration of exogenous human growth hormone in humans","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Novo Nordisk; World Anti-Doping Agency","keywords":"Placebo; Peptide; Biomarker; Proteomics; Biomarker discovery; Glycoprotein; Internal medicine; Endocrinology; Quantitative proteomics; Recombinant DNA; Medicine; Human growth hormone; Growth hormone; Hormone; Chemistry; Chromatography; Biochemistry; Pathology; Gene","score_opus":0.03848232709574564,"score_gpt":0.3287827867580378,"score_spread":0.2903004596622922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095461923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84193707,0.00013414667,0.15394707,0.0001762906,0.000005226293,0.0036970684,0.000028986493,0.000012313461,0.000061831124],"genre_scores_gemma":[0.9898813,0.00022208934,0.009088267,0.000022155253,0.000018979774,0.0006765008,0.00007777956,0.000009128278,0.000003812502],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977683,0.00004745628,0.0016364953,0.00025883882,0.00015786944,0.00013108108],"domain_scores_gemma":[0.998252,0.00019769311,0.0009125197,0.0003515311,0.00021953176,0.00006673746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012318104,0.00013047164,0.0005133265,0.00032410113,0.00011672563,0.000013753117,0.00011945099,0.0001538643,6.248669e-7],"category_scores_gemma":[0.00020448297,0.0001057778,0.00016109078,0.00074989157,0.00030735965,0.000104738894,0.00002323391,0.00016299196,1.9325395e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012987914,0.0020368795,0.09811004,0.00086659315,0.00094737054,1.9218555e-7,0.0013368783,0.000020154077,0.8755817,0.005761802,0.000005369907,0.014034244],"study_design_scores_gemma":[0.0017914764,0.0012881459,0.93300885,0.000022680673,0.0009464793,0.0000040641175,0.0002548391,0.010802999,0.048513025,0.0032484764,0.0000040608893,0.00011491543],"about_ca_topic_score_codex":0.00006428535,"about_ca_topic_score_gemma":0.000011016308,"teacher_disagreement_score":0.83489877,"about_ca_system_score_codex":0.000021907528,"about_ca_system_score_gemma":0.00005856285,"threshold_uncertainty_score":0.43134934},"labels":[],"label_agreement":null},{"id":"W2108656527","doi":"10.1002/prca.201200104","title":"Application of quantitative proteomics technologies to the biomarker discovery pipeline for multiple sclerosis","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiple sclerosis; Experimental autoimmune encephalomyelitis; Biomarker; Proteomics; Context (archaeology); Biomarker discovery; Disease; Medicine; Quantitative proteomics; Bioinformatics; Computational biology; Immunology; Biology; Pathology","score_opus":0.40858409581848487,"score_gpt":0.4895013521384565,"score_spread":0.08091725631997165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108656527","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013012065,0.44652006,0.5093569,0.0024892937,0.00006390847,0.03982299,0.0015433986,0.00015487328,0.00003552524],"genre_scores_gemma":[0.0004503676,0.7319203,0.16377042,0.00006713078,0.00030446367,0.1027364,0.0005213712,0.00011027506,0.00011927424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99490905,0.00022547021,0.0026234123,0.001088124,0.0004888162,0.00066513417],"domain_scores_gemma":[0.9907383,0.0046627326,0.0014232532,0.0021409143,0.0008150503,0.00021978219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027401182,0.00060926104,0.002617157,0.0003385444,0.00035988443,0.000060969258,0.0011289547,0.0007098821,0.0000033186004],"category_scores_gemma":[0.006038289,0.00038698976,0.001249458,0.0013059455,0.0008901388,0.00013015227,0.00082923693,0.000948143,0.00015467605],"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":[0.00020386088,0.0009080285,0.00027192922,0.007915389,0.00050847454,4.669213e-8,0.000033133005,0.0000017574525,0.0003757971,0.0019095897,0.00094201695,0.98692995],"study_design_scores_gemma":[0.00090681674,0.00024851513,0.00046576682,0.0023282287,0.0016821894,0.0000028794948,0.000103386716,0.0014362723,0.00027782796,0.00041458895,0.99167943,0.00045408914],"about_ca_topic_score_codex":0.000039094724,"about_ca_topic_score_gemma":0.000042791868,"teacher_disagreement_score":0.99073744,"about_ca_system_score_codex":0.00022044804,"about_ca_system_score_gemma":0.0004284199,"threshold_uncertainty_score":0.9998582},"labels":[],"label_agreement":null},{"id":"W2134762282","doi":"10.1002/prca.201000160","title":"Identification of β2‐microglobulin as a urinary biomarker for chronic allograft nephropathy using proteomic methods","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Science Foundation Ireland; Higher Education Authority; Amgen","keywords":"Biomarker; Beta-2 microglobulin; Urinary system; Medicine; Urine; Proteomics; Renal function; Clinical significance; Transplantation; Internal medicine; Pathology; Chemistry; Biochemistry","score_opus":0.15846096217004155,"score_gpt":0.4719779687577626,"score_spread":0.3135170065877211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134762282","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30118895,0.00020925445,0.6905918,0.00020968335,0.00007553338,0.007328966,0.000111584806,0.00006578234,0.00021841894],"genre_scores_gemma":[0.3995147,0.0002516964,0.5965972,0.00012670073,0.000101165744,0.0030414986,0.00013256869,0.000043043834,0.00019141447],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975849,0.0001302639,0.0013849236,0.0005084434,0.00014242364,0.0002490644],"domain_scores_gemma":[0.9981271,0.00022681348,0.0006102844,0.0006025567,0.0002594488,0.00017382104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009918365,0.00020788927,0.00049360615,0.0001314198,0.00013298642,0.000014470686,0.0002020409,0.00021115244,0.000059627182],"category_scores_gemma":[0.00011484543,0.00018207954,0.0004217751,0.00029406915,0.00023108331,0.0000867698,0.0000410157,0.00017082118,0.000052702315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018913889,0.0042448863,0.039575834,0.0012550605,0.0010282833,0.0000076081587,0.00025192837,0.000008798676,0.90238583,0.0058097956,0.00001789124,0.043522697],"study_design_scores_gemma":[0.01343525,0.0033998801,0.27230525,0.00052701205,0.0034923365,0.00040975635,0.00007394464,0.013137999,0.65260005,0.035119742,0.0046100407,0.00088872627],"about_ca_topic_score_codex":0.000043434306,"about_ca_topic_score_gemma":0.0000015324882,"teacher_disagreement_score":0.24978575,"about_ca_system_score_codex":0.00009889306,"about_ca_system_score_gemma":0.0003015304,"threshold_uncertainty_score":0.7424988},"labels":[],"label_agreement":null},{"id":"W2135263892","doi":"10.1002/prca.201400200","title":"Urinary biomarkers of chronic allograft nephropathy","year":2015,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stornoway Diamond (Canada); University of British Columbia","funders":"","keywords":"Biomarker; Medicine; Urinary system; Renal function; Kidney transplantation; Clusterin; Transplantation; Lipocalin; Kidney disease; Nephropathy; Pathology; Internal medicine; Urology; Biology; Diabetes mellitus; Endocrinology","score_opus":0.09085661230739822,"score_gpt":0.4072284392134666,"score_spread":0.31637182690606835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135263892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8893353,0.0015509026,0.08491187,0.008028123,0.0003458632,0.0068027824,0.00013256553,0.00030904284,0.008583582],"genre_scores_gemma":[0.9134908,0.00019633937,0.082359985,0.00077408215,0.000665955,0.0020691783,0.00013064507,0.00005073524,0.00026233206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982201,0.000098753844,0.0008438397,0.0004136603,0.00019079795,0.0002328791],"domain_scores_gemma":[0.9979906,0.00020092109,0.00025928524,0.00087420014,0.00023977969,0.0004351812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007359365,0.00014317792,0.00041391805,0.00008972501,0.000040415613,0.0000061103974,0.00024493627,0.0002012445,0.000063704974],"category_scores_gemma":[0.00043655696,0.00013585378,0.00021641585,0.00029200202,0.0005811725,0.000036055226,0.0002264031,0.00026410245,0.00023027047],"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":[0.0064681196,0.02921299,0.6525336,0.0018779747,0.001824771,0.0002379214,0.0005108725,0.00010087979,0.08191511,0.016708402,0.034970175,0.17363918],"study_design_scores_gemma":[0.027118323,0.012210188,0.45505086,0.00036850103,0.0021768415,0.0013311403,0.00043366867,0.011896899,0.008590319,0.050434463,0.4287074,0.0016814086],"about_ca_topic_score_codex":0.000012760218,"about_ca_topic_score_gemma":0.000003013805,"teacher_disagreement_score":0.39373723,"about_ca_system_score_codex":0.00010818498,"about_ca_system_score_gemma":0.0005447261,"threshold_uncertainty_score":0.5539956},"labels":[],"label_agreement":null},{"id":"W2136895615","doi":"10.1002/prca.200780043","title":"Proteomics‐based investigations of animal models of disease","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Heart and Stroke Foundation; Canadian Heart Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Proteomics; Proteome; Computational biology; Disease; Human disease; Proteogenomics; Biology; Bioinformatics; Genomics; Computer science; Genome; Medicine; Pathology; Gene; Genetics","score_opus":0.08958939109423843,"score_gpt":0.3594973543475266,"score_spread":0.2699079632532882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136895615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34075192,0.00006465011,0.65343636,0.00080971955,0.000008135228,0.0020663035,0.00060938834,0.00019674489,0.0020567817],"genre_scores_gemma":[0.5463158,0.00013074934,0.4487494,0.00008426282,0.00007605523,0.004394132,0.00012880875,0.000039392216,0.00008140851],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971879,0.00003506593,0.0016062983,0.00060586503,0.0002822897,0.00028255756],"domain_scores_gemma":[0.9966495,0.00030597948,0.00095805654,0.0013095575,0.00041560578,0.00036128634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029616978,0.00025973786,0.00051672215,0.00009545469,0.00024417177,0.00000864111,0.00070083706,0.0002436647,0.000086137086],"category_scores_gemma":[0.00021289331,0.0002767092,0.00035228606,0.00043750633,0.0010750963,0.00015299006,0.0001580005,0.00046367582,0.000014651851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067196885,0.0034899279,0.026835343,0.00072957546,0.00011637831,0.00000168021,0.000098963115,0.004021785,0.6365279,0.3256219,0.00040607114,0.001478486],"study_design_scores_gemma":[0.0012613881,0.00015391856,0.0011796788,0.00011744227,0.00013339936,0.000004009182,0.000020101203,0.04575148,0.6755415,0.27238122,0.002861135,0.0005947376],"about_ca_topic_score_codex":0.000026835205,"about_ca_topic_score_gemma":0.000001758426,"teacher_disagreement_score":0.20556387,"about_ca_system_score_codex":0.000051692423,"about_ca_system_score_gemma":0.0005575635,"threshold_uncertainty_score":0.9999685},"labels":[],"label_agreement":null},{"id":"W2149613372","doi":"10.1002/prca.201400126","title":"Impact of allele‐specific peptides in proteome quantification","year":2015,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Caprion (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute","keywords":"Proteome; Biomarker discovery; Computational biology; Biomarker; Proteomics; Biology; Human proteome project; Bioinformatics; Genetics; Gene","score_opus":0.19213102453010147,"score_gpt":0.49304093242192976,"score_spread":0.30090990789182825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149613372","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022313328,0.91748685,0.06701412,0.00005731871,0.000026619859,0.01074454,0.0012949215,0.00035194625,0.0028005608],"genre_scores_gemma":[0.00010860458,0.8636623,0.10560177,0.0000051384554,0.00031845813,0.02834469,0.0015303663,0.00016570184,0.00026298358],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936625,0.0001351228,0.003894574,0.0013977047,0.0003664933,0.00054363377],"domain_scores_gemma":[0.9935834,0.00049984583,0.0026365356,0.0025030938,0.0004500158,0.0003271196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013923105,0.000761807,0.0027652455,0.00031883753,0.00011522115,0.000061327984,0.0015755845,0.0012404275,0.00015700057],"category_scores_gemma":[0.0002040275,0.0006804108,0.0014453769,0.0011052208,0.0004394999,0.00014244282,0.00032514165,0.0017521288,0.00023300905],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038118895,0.0016873982,0.00029383722,0.005570881,0.00019930296,0.0000012826691,0.000023960216,0.000028843811,0.00050051336,0.009454064,0.0007816363,0.98142016],"study_design_scores_gemma":[0.00040896775,0.00007757214,0.000023584696,0.0015814233,0.00019200661,0.000013238963,0.000008225547,0.000062870655,0.0001639877,0.017154222,0.979613,0.0007009002],"about_ca_topic_score_codex":0.000058125293,"about_ca_topic_score_gemma":0.000007637235,"teacher_disagreement_score":0.98071927,"about_ca_system_score_codex":0.000648504,"about_ca_system_score_gemma":0.0010419223,"threshold_uncertainty_score":0.9995647},"labels":[],"label_agreement":null},{"id":"W2149629522","doi":"10.1002/prca.200800102","title":"Multidimensional protein identification technology analysis highlights mitoxantrone‐induced expression modulations in the primary prostate cancer cell proteome","year":2009,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Mitoxantrone; Prostate cancer; Proteome; Cancer; Proteomics; Prostate; Cancer research; Medicine; Oncology; Bioinformatics; Biology; Internal medicine; Biochemistry; Chemotherapy; Gene","score_opus":0.0191026356087627,"score_gpt":0.3240253994730482,"score_spread":0.3049227638642855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149629522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9293715,0.00026649825,0.038570758,0.019003266,0.000022738039,0.008411577,0.00020963504,0.00059908925,0.0035449697],"genre_scores_gemma":[0.9200669,0.00019995592,0.054103795,0.00018626025,0.00017081115,0.024358543,0.00035846425,0.000028815306,0.00052644114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964457,0.00009886372,0.0015094879,0.001035468,0.00044941012,0.00046107164],"domain_scores_gemma":[0.99709386,0.00017154284,0.00076599757,0.0016039957,0.00023893995,0.00012565227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007474427,0.00033193527,0.00050537946,0.00033391995,0.0004806366,0.000086962806,0.00091212516,0.00046393575,0.0003216199],"category_scores_gemma":[0.00006849792,0.0002657023,0.00029342913,0.00235957,0.00014914127,0.00020062727,0.00011409473,0.0008158896,0.000039431372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003766115,0.0017030829,0.0027888804,0.000040502575,0.000049727052,9.1696177e-7,0.00006571973,0.00010872079,0.9655116,0.02608672,0.00008615991,0.0035202752],"study_design_scores_gemma":[0.0015166395,0.0001268381,0.04924174,0.0000890801,0.00047417692,0.0000040995933,0.00015238802,0.005831322,0.8589001,0.07252867,0.010199274,0.00093564595],"about_ca_topic_score_codex":0.00008838282,"about_ca_topic_score_gemma":0.000054678432,"teacher_disagreement_score":0.106611505,"about_ca_system_score_codex":0.00025575203,"about_ca_system_score_gemma":0.00015444205,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W2229751746","doi":"10.1002/prca.201500086","title":"Recent development of mass spectrometry and proteomics applications in identification and typing of bacteria","year":2016,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":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; Public Health Agency of Canada","funders":"","keywords":"Typing; Identification (biology); Bacteria; Microbiology; Clinical microbiology; Biology; Pathogenic bacteria; Computational biology; Genetics","score_opus":0.06834108535075809,"score_gpt":0.3834868695071004,"score_spread":0.3151457841563423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229751746","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026352236,0.79474425,0.16545543,0.000136998,0.0001269867,0.012605466,0.00041741086,0.000036820962,0.00012441851],"genre_scores_gemma":[0.0006973112,0.9014805,0.0948134,0.0000062712925,0.00011460923,0.002290465,0.0005033327,0.00003779268,0.000056301982],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99662715,0.00016884273,0.0021826576,0.00075237,0.00008990561,0.0001790834],"domain_scores_gemma":[0.99752563,0.00016161284,0.0012965351,0.00070500135,0.00020851682,0.00010271383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012764728,0.0002569634,0.00083218626,0.00016464648,0.0000828675,0.000032666445,0.00031993253,0.00043288304,0.000010344722],"category_scores_gemma":[0.00038406,0.00023127455,0.00012613647,0.00030937808,0.00025216205,0.000009461203,0.0002142129,0.00020616168,0.000006501214],"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":[0.000016368958,0.00021934354,0.00070740015,0.0030859832,0.000077011595,2.4956284e-8,0.00002358351,4.358485e-8,0.13824278,0.00072364026,0.000005545675,0.85689825],"study_design_scores_gemma":[0.00071092934,0.00009468463,0.005746324,0.002317755,0.00024998744,0.000007254868,0.000049828457,0.000009600185,0.019455949,0.0017993614,0.9687856,0.00077275565],"about_ca_topic_score_codex":0.0000019848583,"about_ca_topic_score_gemma":0.000010284149,"teacher_disagreement_score":0.96878004,"about_ca_system_score_codex":0.000044959288,"about_ca_system_score_gemma":0.00035028488,"threshold_uncertainty_score":0.9431102},"labels":[],"label_agreement":null},{"id":"W2296282946","doi":"10.1002/prca.201500071","title":"Proteomic profiling of eccrine sweat reveals its potential as a diagnostic biofluid for active tuberculosis","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Eccrine sweat; Tuberculosis; SWEAT; Profiling (computer programming); Medicine; Computational biology; Biology; Pathology; Computer science; Internal medicine","score_opus":0.055991643759485406,"score_gpt":0.41500134327132376,"score_spread":0.35900969951183836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296282946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84293145,0.00025716735,0.103221335,0.034999304,0.00008708553,0.017393438,0.0005840117,0.00011742876,0.00040876266],"genre_scores_gemma":[0.91187733,0.0027461166,0.06126926,0.0009710808,0.0008816979,0.021577243,0.00014040717,0.000076096934,0.00046078584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966871,0.00022674722,0.0014289357,0.0007871649,0.0002612774,0.00060877687],"domain_scores_gemma":[0.99425703,0.003408285,0.00039451817,0.00074235554,0.00071039516,0.00048738474],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0014892088,0.000254403,0.0008814334,0.0001578955,0.00014508408,0.000010687445,0.0003235515,0.00035503448,0.00009649735],"category_scores_gemma":[0.016445134,0.0001738728,0.00049705716,0.00028236187,0.00038114525,0.00011126796,0.00017407823,0.0003654999,0.00029861508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022194753,0.001513691,0.033875626,0.0005179468,0.00063384214,0.000003495774,0.000020313377,0.0000044803487,0.8994084,0.011994827,0.0011445105,0.048663408],"study_design_scores_gemma":[0.009776743,0.0035742542,0.06981213,0.0006204874,0.0009870451,0.00008538435,0.00003791256,0.001070448,0.85515845,0.048375722,0.009767431,0.00073399494],"about_ca_topic_score_codex":0.000031489435,"about_ca_topic_score_gemma":0.0000024036485,"teacher_disagreement_score":0.06894584,"about_ca_system_score_codex":0.00012843906,"about_ca_system_score_gemma":0.0003622514,"threshold_uncertainty_score":0.99183977},"labels":[],"label_agreement":null},{"id":"W2302538535","doi":"10.1002/prca.201500057","title":"Development of an SRM method for absolute quantitation of MYDGF/C19orf10 protein","year":2015,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","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 Manitoba; Health Sciences Centre; Manitoba Health","funders":"","keywords":"Absolute (philosophy); Chromatography; Chemistry; Computer science","score_opus":0.1314732274167921,"score_gpt":0.45327166090152654,"score_spread":0.32179843348473447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302538535","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21204118,0.000081899256,0.7845965,0.00022349307,0.000021891121,0.0027919342,0.00006492629,0.0000122974825,0.00016588943],"genre_scores_gemma":[0.19996785,0.000006459012,0.79687554,0.000036620586,0.00006646183,0.0026964578,0.00025046204,0.000013975718,0.00008615761],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982958,0.000115790295,0.0009386384,0.0003865188,0.00013190426,0.00013136984],"domain_scores_gemma":[0.99821305,0.000047543366,0.00044798144,0.00057743426,0.0005736339,0.0001403549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021704386,0.00010617844,0.00022684794,0.000032476553,0.0000579204,0.000007631014,0.00029049465,0.00018837958,0.000003172139],"category_scores_gemma":[0.00061383675,0.000105217616,0.00010603171,0.0001122437,0.0001188464,0.0000071967843,0.00006483978,0.00007963567,0.000004791516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004774538,0.0012995595,0.00036236292,0.00015638555,0.00008066617,2.8705603e-8,0.000189166,0.00003931487,0.88480824,0.01967935,0.0000730263,0.09283442],"study_design_scores_gemma":[0.0014579146,0.00054571993,0.0031046355,0.000012760023,0.000031599222,8.285675e-7,0.00014958982,0.002300936,0.8802624,0.016601562,0.09527564,0.0002564429],"about_ca_topic_score_codex":0.0000095659925,"about_ca_topic_score_gemma":0.00003838731,"teacher_disagreement_score":0.09520262,"about_ca_system_score_codex":0.000015141233,"about_ca_system_score_gemma":0.00043300338,"threshold_uncertainty_score":0.429065},"labels":[],"label_agreement":null},{"id":"W2340037089","doi":"10.1002/prca.201500124","title":"Peculiarities of studying the effects of pathogen reduction technologies on platelets","year":2016,"lang":"en","type":"review","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"Platelet; Pathogen; Adverse effect; Transfusion medicine; Immunology; microRNA; Platelet transfusion; Medicine; Biology; Blood transfusion; Pharmacology; Biochemistry; Gene","score_opus":0.07484111051477159,"score_gpt":0.3630219459356871,"score_spread":0.2881808354209155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340037089","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002901561,0.9806607,0.0028024574,0.0019145771,0.000657415,0.009642542,0.00006481087,0.00034304598,0.003624313],"genre_scores_gemma":[0.0014551084,0.9947008,0.00067983026,0.00005490072,0.00043717973,0.0025348566,0.000032628574,0.00003539098,0.00006929112],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979398,0.000066536326,0.0012055658,0.00039407142,0.00025036623,0.00014362998],"domain_scores_gemma":[0.99571973,0.0016023093,0.0018148978,0.0006375343,0.00021781995,0.000007729553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093681517,0.0002436146,0.00087403227,0.00023565417,0.00018812853,0.000059134247,0.0006557437,0.00033405778,0.000017438957],"category_scores_gemma":[0.000706253,0.00014215703,0.00040614148,0.0005186611,0.00033073546,0.00023015255,0.00019345222,0.000486931,0.00012334275],"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":[0.000010010557,0.00029699836,0.000010611796,0.0071006003,0.00012903252,2.9480813e-7,0.00000512475,9.465827e-8,0.00001672385,0.07022575,0.0001280006,0.92207676],"study_design_scores_gemma":[0.00030095098,0.000033085562,0.00002243835,0.003137957,0.000724741,0.0000027882622,0.00006269383,0.000002578981,0.00006085449,0.01065684,0.9848065,0.00018860155],"about_ca_topic_score_codex":0.0000107012465,"about_ca_topic_score_gemma":0.0000014162378,"teacher_disagreement_score":0.98467845,"about_ca_system_score_codex":0.00001412282,"about_ca_system_score_gemma":0.00006626723,"threshold_uncertainty_score":0.5796996},"labels":[],"label_agreement":null},{"id":"W2395271881","doi":"10.1002/prca.201500139","title":"Protein translation occurs in platelet concentrates despite riboflavin/UV light pathogen inactivation treatment","year":2016,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Blood transfusion and management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Blood Services; University of British Columbia","funders":"Canada Foundation for Innovation","keywords":"Proteome; Proteomics; Puromycin; Platelet; Quantitative proteomics; Riboflavin; Pathogen; Biology; Translation (biology); Biochemistry; Cell biology; Protein biosynthesis; Chemistry; Messenger RNA; Immunology; Gene","score_opus":0.056932458098406406,"score_gpt":0.351050841407432,"score_spread":0.29411838330902557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395271881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85828626,0.00014108147,0.093793795,0.031737834,0.00006231292,0.013958438,0.00008348517,0.0001981292,0.0017386712],"genre_scores_gemma":[0.97312325,0.0007806317,0.018326677,0.00050772476,0.00018075426,0.0064910394,0.00011577159,0.000036156274,0.0004379974],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981157,0.000091830094,0.00082184735,0.00051786075,0.0001814205,0.00027130757],"domain_scores_gemma":[0.9989736,0.00015918922,0.00017213624,0.00042667033,0.000085262305,0.00018315656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041455822,0.00020154568,0.00036365684,0.00011001991,0.00008216646,0.000019761761,0.0001097553,0.00019674028,0.00007976296],"category_scores_gemma":[0.000056788387,0.00013853866,0.00014992169,0.00030135878,0.00009179193,0.000119303884,0.000017432505,0.0001628247,0.00013735703],"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":[0.00074127404,0.0030312738,0.024646457,0.00008284121,0.00013062402,0.0000102839385,0.00021979019,0.000003001001,0.40829256,0.013025209,0.0000890296,0.5497277],"study_design_scores_gemma":[0.03083809,0.0025217303,0.08723904,0.00064064196,0.00044176672,0.000016482136,0.00015914223,0.0005139103,0.47648674,0.014900396,0.38525668,0.0009853743],"about_ca_topic_score_codex":0.00003261943,"about_ca_topic_score_gemma":0.0000667477,"teacher_disagreement_score":0.5487423,"about_ca_system_score_codex":0.0001780053,"about_ca_system_score_gemma":0.0001296809,"threshold_uncertainty_score":0.56494427},"labels":[],"label_agreement":null},{"id":"W2572745054","doi":"10.1002/prca.201600121","title":"Identification of potential protein quality markers in pathogen inactivated and gamma‐irradiated red cell concentrates","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Blood transfusion and management","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":"Canadian Blood Services; University of British Columbia","funders":"Health Canada; Canadian Blood Services; Burroughs Wellcome Fund","keywords":"Hemolysis; Proteome; Hemoglobin; Proteomics; Red blood cell; Biology; Membrane protein; Biochemistry; Membrane; Immunology","score_opus":0.037467046268209715,"score_gpt":0.364481634612706,"score_spread":0.32701458834449626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572745054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832493,0.00004219628,0.0063337716,0.003840695,0.00003675045,0.005496369,0.000049083974,0.00004057698,0.0009112535],"genre_scores_gemma":[0.9946333,0.00028359937,0.0037023958,0.00008848927,0.000038474045,0.0009408333,0.00006308966,0.000015879992,0.00023391748],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980666,0.00012436742,0.0010596041,0.00041656845,0.00016434853,0.00016849692],"domain_scores_gemma":[0.99831647,0.00005660627,0.00060908427,0.00073729997,0.00013951377,0.00014104103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012081269,0.00012292819,0.0003585723,0.000064956854,0.00015110959,0.00004257954,0.00020295399,0.00016119932,0.000024182616],"category_scores_gemma":[0.00024585612,0.000119152304,0.000087869514,0.000113647235,0.00029240892,0.000088419125,0.000078153396,0.00026197618,0.0000102432095],"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":[0.0007713111,0.0015009927,0.045872897,0.00033809248,0.0000710189,0.000003319078,0.00005378041,0.0000029371506,0.9362635,0.0028573275,0.000046074623,0.012218772],"study_design_scores_gemma":[0.0050074565,0.00014264221,0.9197633,0.00006723084,0.00012586176,0.0000015585197,0.000100841484,0.0010204698,0.070120804,0.0026079342,0.000861586,0.00018029961],"about_ca_topic_score_codex":0.00015415497,"about_ca_topic_score_gemma":0.000024582396,"teacher_disagreement_score":0.8738904,"about_ca_system_score_codex":0.000028908122,"about_ca_system_score_gemma":0.00008409434,"threshold_uncertainty_score":0.48588902},"labels":[],"label_agreement":null},{"id":"W2608169501","doi":"10.1002/prca.201700016","title":"Evolution of the plasma proteome of divers before and after a single SCUBA dive","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Cardiovascular and Diving-Related Complications","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 British Columbia, Okanagan Campus; University of British Columbia","funders":"Seventh Framework Programme","keywords":"Proteome; Transthyretin; Decompression; Decompression sickness; Blood proteins; Two-dimensional gel electrophoresis; Abundance (ecology); Chemistry; Internal medicine; Medicine; Andrology; Biology; Proteomics; Surgery; Biochemistry; Ecology; Gene","score_opus":0.026822426118556755,"score_gpt":0.30786844150763165,"score_spread":0.2810460153890749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608169501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974505,0.00010744011,0.018339891,0.0017661647,0.000054189964,0.003467308,0.00008851004,0.000025991643,0.0016455047],"genre_scores_gemma":[0.99227023,0.000026213296,0.0064339014,0.000033195418,0.00009374328,0.0010075705,0.000006822546,0.000013185493,0.000115123854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882144,0.00004197118,0.0005124192,0.0002871021,0.00021049469,0.00012659915],"domain_scores_gemma":[0.9977993,0.00007898706,0.00042028795,0.0013387197,0.0002608607,0.000101863436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038774987,0.000104120096,0.00032844488,0.000046799134,0.00028515147,0.000020403384,0.00029025052,0.00015085225,0.000009176642],"category_scores_gemma":[0.0005341841,0.00007691085,0.000362895,0.00012677694,0.0007843312,0.000068504945,0.0003371062,0.00026717703,0.000010749538],"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":[0.00033953073,0.0011606598,0.9563029,0.00026351115,0.00053050474,7.6790616e-7,0.00025412405,0.00001918365,0.010133614,0.015546953,0.000073611016,0.0153746605],"study_design_scores_gemma":[0.0013595768,0.00014848616,0.98547876,0.00011456597,0.00042575455,0.000014382369,0.000029706544,0.00042031097,0.0024892422,0.008696183,0.0007362783,0.000086758104],"about_ca_topic_score_codex":0.000080522106,"about_ca_topic_score_gemma":0.000040116956,"teacher_disagreement_score":0.029175876,"about_ca_system_score_codex":0.000047490706,"about_ca_system_score_gemma":0.00011221751,"threshold_uncertainty_score":0.31363335},"labels":[],"label_agreement":null},{"id":"W2616838785","doi":"10.1002/prca.201600092","title":"Upregulation of inflammatory mediators in the ventricular zone after cortical stroke","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Canada Foundation for Innovation; Michael Smith Health Research BC","keywords":"Stroke (engine); Medicine; Stroke recovery; Microglia; Downregulation and upregulation; Cytokine; Inflammation; Sham surgery; Cortex (anatomy); Pathology; Tumor necrosis factor alpha; Neuroscience; Internal medicine; Cardiology; Biology; Gene","score_opus":0.049950365713136304,"score_gpt":0.3380419512808449,"score_spread":0.2880915855677086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616838785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830661,0.0000088797,0.014809729,0.0005015251,0.00013569757,0.0013266768,0.000032377575,0.00002061405,0.00009842084],"genre_scores_gemma":[0.99770856,0.000053999778,0.00077885843,0.00036143878,0.0001619564,0.0009010888,0.0000014673752,0.000015123273,0.00001749899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810493,0.00028466218,0.0006880164,0.00039965147,0.00032800686,0.00019470732],"domain_scores_gemma":[0.9975713,0.0009901046,0.00040084694,0.0009080925,0.00004719693,0.00008244954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000693686,0.00011593306,0.0002085985,0.00004993665,0.00025528067,0.000064307584,0.0007440423,0.00010377511,0.000017540317],"category_scores_gemma":[0.0019147707,0.00008837242,0.00012821359,0.000106564745,0.0003545299,0.000110388035,0.00016358268,0.00033595588,0.0000580653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038242602,0.0021989206,0.15338625,0.0000895175,0.00001677771,0.000092500966,0.00016620605,0.0001011246,0.7127959,0.12537292,0.000054573786,0.0053428505],"study_design_scores_gemma":[0.0008481137,0.00012797334,0.3549619,0.000015867106,0.00004518719,0.000012127751,0.000012579254,0.0019944725,0.6372335,0.002934351,0.0016268825,0.0001870316],"about_ca_topic_score_codex":0.0000032865698,"about_ca_topic_score_gemma":0.0000074785517,"teacher_disagreement_score":0.20157565,"about_ca_system_score_codex":0.000010698605,"about_ca_system_score_gemma":0.00004791148,"threshold_uncertainty_score":0.36037228},"labels":[],"label_agreement":null},{"id":"W2732880523","doi":"10.1002/prca.201700056","title":"Multi‐pronged proteomic analysis to study the glioma pathobiology using cerebrospinal fluid samples","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Council of Scientific and Industrial Research, India; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Glioma; Cerebrospinal fluid; Proteome; Proteomics; Haptoglobin; Biology; Pathology; Clusterin; Vitronectin; Cancer research; Extracellular matrix; Medicine; Immunology; Bioinformatics; Biochemistry; Gene; Fibronectin","score_opus":0.12904191417005323,"score_gpt":0.44137659091038656,"score_spread":0.31233467674033333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732880523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5799199,0.000015866179,0.4146037,0.0008194767,0.000019867945,0.004170709,0.00018155067,0.00016064309,0.00010831816],"genre_scores_gemma":[0.6036793,0.00001962235,0.3834208,0.000113486174,0.00026531547,0.012333721,0.000044144945,0.000045807923,0.00007784267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965153,0.00010614637,0.0013277245,0.0012729141,0.00022871664,0.00054924295],"domain_scores_gemma":[0.994199,0.00023256088,0.000985546,0.003999117,0.00029064735,0.0002931527],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001167247,0.00040285848,0.0006943394,0.00011917026,0.0027148675,0.00029383274,0.002521549,0.00031549192,0.00013763497],"category_scores_gemma":[0.0005160515,0.00032480792,0.0004636491,0.0004879843,0.00051964395,0.0001327809,0.0009771455,0.0007463685,0.00008905595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020554563,0.0028028756,0.18593735,0.000031136664,0.0013719783,0.0000038105716,0.00020464107,0.00042753093,0.79078645,0.0035911968,0.000038807855,0.014598673],"study_design_scores_gemma":[0.0070446385,0.00087894633,0.36251193,0.00007866851,0.0068742926,0.00006906283,0.0010653246,0.045050744,0.5145539,0.04473397,0.012975341,0.004163201],"about_ca_topic_score_codex":0.00033051797,"about_ca_topic_score_gemma":0.00014762711,"teacher_disagreement_score":0.27623257,"about_ca_system_score_codex":0.00012403705,"about_ca_system_score_gemma":0.00012247481,"threshold_uncertainty_score":0.99992037},"labels":[],"label_agreement":null},{"id":"W2753647018","doi":"10.1002/prca.201600179","title":"Using Public Data for Comparative Proteome Analysis in Precision Medicine Programs","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computer science; Proteomics; Robustness (evolution); Proteome; Precision medicine; Stable isotope labeling by amino acids in cell culture; Data mining; Context (archaeology); Quantitative proteomics; Computational biology; Experimental data; Cluster analysis; Bioinformatics; Artificial intelligence; Medicine; Biology; Gene; Pathology; Statistics; Mathematics","score_opus":0.500801208736831,"score_gpt":0.5448850286792242,"score_spread":0.04408381994239319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753647018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042539123,0.00006522083,0.94570243,0.002820437,0.000021282765,0.006331179,0.0004943601,0.00017475459,0.0018512354],"genre_scores_gemma":[0.38413918,0.00010133523,0.6012338,0.000050884322,0.00035748538,0.012569403,0.0013583937,0.000036780402,0.00015275688],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656355,0.000041588126,0.0014256352,0.0012792571,0.0002431604,0.00044677782],"domain_scores_gemma":[0.9930378,0.0004031335,0.0012499451,0.00475286,0.00032387936,0.00023234455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016524718,0.00029213043,0.0008213466,0.00016450984,0.0008800933,0.0002014313,0.0029398496,0.00032018826,0.000066921384],"category_scores_gemma":[0.00070856273,0.00026863598,0.0002075852,0.0005079142,0.00070388085,0.0004472964,0.00088419154,0.00056047324,0.000011107063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009462802,0.009397264,0.37454212,0.00089655415,0.0028816052,0.0000042771057,0.00047291274,0.00060553616,0.1308542,0.19135717,0.0010942838,0.2869478],"study_design_scores_gemma":[0.0058469735,0.0002767847,0.0074012564,0.00033450793,0.0017191145,0.0000087192575,0.0002805358,0.44281057,0.016662264,0.32843852,0.19424373,0.0019770311],"about_ca_topic_score_codex":0.00016043187,"about_ca_topic_score_gemma":0.00026716015,"teacher_disagreement_score":0.442205,"about_ca_system_score_codex":0.00011507711,"about_ca_system_score_gemma":0.00014534045,"threshold_uncertainty_score":0.9999766},"labels":[],"label_agreement":null},{"id":"W2754233770","doi":"10.1002/prca.201600180","title":"ExSTA: External Standard Addition Method for Accurate High‐Throughput Quantitation in Targeted Proteomics Experiments","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Fondation De Famille Alvin Segal; Genome British Columbia; McGill University; University of Victoria; Jewish General Hospital; Leading Edge Endowment Fund; Genome Canada","keywords":"Nat; Analyte; Quantitative proteomics; Chromatography; Chemistry; Throughput; Proteomics; Computer science; Mathematics; Statistics; Biochemistry","score_opus":0.08633517461077585,"score_gpt":0.471882843429388,"score_spread":0.3855476688186122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754233770","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044078857,0.000054824355,0.94718874,0.0013470564,0.00007653312,0.005156539,0.0012868005,0.00023358593,0.00057704846],"genre_scores_gemma":[0.10716282,0.00025154572,0.8556359,0.00014017872,0.00044578026,0.035483368,0.00054175477,0.00008670132,0.00025199007],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966028,0.000058273723,0.0014869383,0.0010794469,0.00026420227,0.0005083413],"domain_scores_gemma":[0.99588513,0.0004255355,0.0014167755,0.0017153776,0.00035922098,0.00019793022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010519769,0.00037193447,0.0005922774,0.000085902015,0.00095224084,0.00026970284,0.0010980328,0.00046268525,0.0001353708],"category_scores_gemma":[0.0006499664,0.0004037897,0.0002642135,0.00013332814,0.000292186,0.00051998266,0.0002685231,0.0006456302,0.000036716097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001403425,0.0015553439,0.0037528453,0.0003453156,0.00013498156,0.000002926014,0.00016655015,0.00041327838,0.66223353,0.2602234,0.00093773927,0.068830684],"study_design_scores_gemma":[0.0034209932,0.000156292,0.0012233211,0.00014482126,0.00006799539,0.0000044605454,0.000075937285,0.010847465,0.5895667,0.37311682,0.020599486,0.00077569636],"about_ca_topic_score_codex":0.0001325734,"about_ca_topic_score_gemma":0.000046239107,"teacher_disagreement_score":0.11289345,"about_ca_system_score_codex":0.0002635259,"about_ca_system_score_gemma":0.0001910986,"threshold_uncertainty_score":0.9998414},"labels":[],"label_agreement":null},{"id":"W2772577952","doi":"10.1002/prca.201700120","title":"Detection of the Human Anti‐ActRII Antibody Bimagrumab in Serum by Means of Affinity Purification, Tryptic Digestion, and LC‐HRMS","year":2017,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Ammonium sulfate precipitation; Antibody; Chromatography; Chemistry; Computational biology; Medicine; Biochemistry; Biology; Immunology","score_opus":0.018855507072966952,"score_gpt":0.34028795459128197,"score_spread":0.321432447518315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772577952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917736,0.00009568102,0.006483801,0.0006414975,0.00003030448,0.00074818404,0.000054431075,0.0000050592703,0.00016740698],"genre_scores_gemma":[0.9989461,0.00035401154,0.00038028197,0.000042109466,0.000040268,0.00014786619,0.00005644279,0.000009000588,0.000023950064],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99896044,0.00009040238,0.00047412916,0.00030053078,0.00006136095,0.00011315086],"domain_scores_gemma":[0.9985773,0.00003838162,0.00047742436,0.00076839514,0.00009940737,0.000039102837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036337264,0.000094565425,0.00018361512,0.000022029515,0.0002798459,0.00001230386,0.00036647636,0.00019607754,0.000002699663],"category_scores_gemma":[0.000339471,0.00007907776,0.000079926496,0.00006708143,0.0005751598,0.000008646994,0.0001256964,0.00016176555,0.0000012619054],"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":[0.000029113764,0.00027471132,0.12084678,0.000025156842,0.000017972421,1.0016596e-8,0.000010023751,0.000008125289,0.87632805,0.000733864,0.000021443968,0.0017047562],"study_design_scores_gemma":[0.0005457898,0.000090179296,0.66419864,0.0000089442965,0.000018398025,4.7223756e-7,0.000014613097,0.00006146174,0.33061364,0.0038825674,0.00048323275,0.00008207483],"about_ca_topic_score_codex":0.000055829747,"about_ca_topic_score_gemma":0.00008193173,"teacher_disagreement_score":0.5457144,"about_ca_system_score_codex":0.000004709491,"about_ca_system_score_gemma":0.00004627876,"threshold_uncertainty_score":0.32246977},"labels":[],"label_agreement":null},{"id":"W2777769444","doi":"10.1002/prca.201700143","title":"Understanding TGEV–ETEC Coinfection through the Lens of Proteomics: A Tale of Porcine Diarrhea","year":2017,"lang":"en","type":"letter","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research","keywords":"Diarrhea; Coinfection; Virology; Microbiology; Biology; Medicine; Pathology; Human immunodeficiency virus (HIV)","score_opus":0.2856734326683303,"score_gpt":0.43376486955842575,"score_spread":0.14809143689009546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777769444","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065887007,0.00019014672,0.31254607,0.6661528,0.00022615907,0.010188516,0.00057759054,0.00007100999,0.0034590098],"genre_scores_gemma":[0.55126476,0.010590426,0.12060967,0.27216998,0.019253928,0.017582282,0.0036669981,0.00053069246,0.00433125],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99617934,0.0003864847,0.0018119545,0.0006658906,0.00039415513,0.00056216784],"domain_scores_gemma":[0.99565536,0.00053990766,0.0016571631,0.0016960022,0.0003413753,0.00011020289],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001568057,0.00032911892,0.0014042868,0.000117089985,0.00028943358,0.000024961546,0.00055167486,0.00095811684,0.000057653688],"category_scores_gemma":[0.001993576,0.00024081673,0.0006609847,0.0001611467,0.0019076418,0.0001076067,0.00026847108,0.003024817,0.000035992918],"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":[0.0014802088,0.0014743193,0.026726274,0.0043094694,0.0018208788,0.000102797814,0.00017183257,0.000027079468,0.012945531,0.0071043605,0.9421232,0.0017140642],"study_design_scores_gemma":[0.0076086335,0.0054265857,0.00927781,0.0019857443,0.0013810898,0.0007381685,0.00011327858,0.0010599074,0.0031582797,0.08101185,0.8872841,0.0009545645],"about_ca_topic_score_codex":0.0003183808,"about_ca_topic_score_gemma":0.00003733153,"teacher_disagreement_score":0.54467607,"about_ca_system_score_codex":0.00020018195,"about_ca_system_score_gemma":0.00037218616,"threshold_uncertainty_score":0.99927527},"labels":[],"label_agreement":null},{"id":"W2789846220","doi":"10.1002/prca.201700084","title":"An MRM‐Based Cytokeratin Marker Assay as a Tool for Cancer Studies: Application to Lung Cancer Pleural Effusions","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Lung Cancer Research Studies","field":"Medicine","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":"McGill University; Genome British Columbia; Jewish General Hospital; University of Victoria","funders":"Narodowe Centrum Nauki","keywords":"Cytokeratin; Lung cancer; Medicine; Pleural fluid; Pathology; Pleural effusion; Oncology; Tumor marker; Cancer research; Cancer; Internal medicine; Immunohistochemistry","score_opus":0.08450941785232464,"score_gpt":0.5404492689821476,"score_spread":0.455939851129823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789846220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30149338,0.0013303242,0.5784329,0.07519187,0.00043873896,0.040824596,0.00113965,0.0005298643,0.00061864563],"genre_scores_gemma":[0.61478096,0.0010480877,0.118503764,0.013922202,0.004805786,0.24510297,0.00021886655,0.00015563896,0.0014617135],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.996651,0.00015749951,0.0010093652,0.001081351,0.00047833036,0.00062248716],"domain_scores_gemma":[0.9952439,0.0010766484,0.00027044694,0.0011496777,0.001751889,0.00050745247],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016650517,0.00032481688,0.00069295184,0.000137245,0.0007392152,0.00006124638,0.0004306514,0.00019677599,0.0001633092],"category_scores_gemma":[0.0015207934,0.00027478873,0.00023718872,0.0006576501,0.00050495664,0.0001180041,0.00019450679,0.00043249616,0.00013187241],"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":[0.009812942,0.0058558867,0.36150327,0.002796865,0.0041152854,0.0000054388165,0.0027961163,0.0005042052,0.16950446,0.009959539,0.13535029,0.29779568],"study_design_scores_gemma":[0.0143383145,0.004828158,0.12526882,0.0010068129,0.0023429217,0.000009368131,0.0006214358,0.14971124,0.033025905,0.004791371,0.66183335,0.0022223091],"about_ca_topic_score_codex":0.0003631163,"about_ca_topic_score_gemma":0.0008798395,"teacher_disagreement_score":0.52648306,"about_ca_system_score_codex":0.0006371765,"about_ca_system_score_gemma":0.0010578334,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W2811474238","doi":"10.1002/prca.201800017","title":"Maternal Apolipoprotein B100 Serum Levels are Diminished in Pregnancies with Intrauterine Growth Restriction and Differentiate from Controls","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Deutscher Akademischer Austauschdienst","keywords":"Intrauterine growth restriction; Apolipoprotein B; Multiplex; Fetus; Pregnancy; Medicine; Fetal growth; Physiology; Andrology; Obstetrics; Internal medicine; Endocrinology; Biology; Cholesterol; Bioinformatics; Genetics","score_opus":0.043017477596257105,"score_gpt":0.3209478447632278,"score_spread":0.27793036716697067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811474238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97320145,0.00029238244,0.019734692,0.0033059958,0.000059844482,0.0027558457,0.0002411418,0.00010013537,0.00030852444],"genre_scores_gemma":[0.98424083,0.0017427338,0.011206276,0.00034339854,0.00044458106,0.0019284636,0.000021818378,0.000026230357,0.00004564163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828243,0.00006637836,0.0006622393,0.0005336581,0.00017004562,0.0002852327],"domain_scores_gemma":[0.9987988,0.00020462315,0.0002858303,0.00041782,0.00014329076,0.00014964373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023184415,0.00021990092,0.00053990114,0.0000735504,0.00016235976,0.00004539927,0.0001455075,0.00017223367,0.000031537747],"category_scores_gemma":[0.00013971781,0.00016949598,0.00006042238,0.00019414771,0.00045200353,0.00010985422,0.000137323,0.00037687056,0.00002325768],"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":[0.00085534196,0.00038167738,0.98247546,0.00013303896,0.00018627502,0.00000761429,0.0001497825,2.7106958e-7,0.0023885416,0.004970967,0.000029792163,0.008421232],"study_design_scores_gemma":[0.0031396095,0.00042089328,0.9626437,0.00052662485,0.000111810565,0.000008928474,0.000030768,0.00016382526,0.005912108,0.026618445,0.00024011587,0.0001831797],"about_ca_topic_score_codex":0.00025806748,"about_ca_topic_score_gemma":0.00043509266,"teacher_disagreement_score":0.02164748,"about_ca_system_score_codex":0.000034280507,"about_ca_system_score_gemma":0.00005437037,"threshold_uncertainty_score":0.6911845},"labels":[],"label_agreement":null},{"id":"W2886752008","doi":"10.1002/prca.201800006","title":"Using Stepwise Pharmacogenomics and Proteomics to Predict Hepatitis C Treatment Response in Difficult to Treat Patient Populations","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Hepatitis C virus research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Pharmacogenomics; Medicine; Hepatitis C virus; Hepatitis C; Internal medicine; Proteomics; Immunology; Ribavirin; Peripheral blood mononuclear cell; Cohort; Biomarker; Pharmacogenetics; Oncology; Logistic regression; Genotyping; Genotype; Pharmacology; Biology; Virus","score_opus":0.2029268832089823,"score_gpt":0.48329724640761634,"score_spread":0.28037036319863406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886752008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95367867,0.000027653792,0.02901385,0.0033357684,0.000062349354,0.013167243,0.00041173745,0.00008359058,0.0002191257],"genre_scores_gemma":[0.7826541,0.00018660452,0.21009488,0.0008668375,0.00035920143,0.0055475477,0.00006357125,0.000069323214,0.00015789398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679846,0.0003005582,0.0011760435,0.0008667444,0.00032353855,0.0005346535],"domain_scores_gemma":[0.99740726,0.00030342146,0.0001502588,0.00077019364,0.00040853585,0.0009603076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073037186,0.00029982292,0.0005591698,0.00038539953,0.00027604576,0.0000672856,0.00018677853,0.00020471541,0.000047903934],"category_scores_gemma":[0.00094144914,0.00027907087,0.00011177823,0.0009283929,0.00022878128,0.00008616069,0.00023512181,0.00030886414,0.00022645167],"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":[0.009791277,0.0039341776,0.66314834,0.00008856923,0.00013374588,0.000039847266,0.0022177922,0.00037536392,0.14855136,0.00048229468,0.0005374229,0.1706998],"study_design_scores_gemma":[0.016901428,0.022351712,0.7358673,0.0005150332,0.00070054014,0.000114065675,0.00028964938,0.064068876,0.0690248,0.0015026424,0.08661119,0.0020527137],"about_ca_topic_score_codex":0.00089384575,"about_ca_topic_score_gemma":0.000592293,"teacher_disagreement_score":0.18108104,"about_ca_system_score_codex":0.00088964344,"about_ca_system_score_gemma":0.0005028159,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W2905568839","doi":"10.1002/prca.201800057","title":"Cytomine: Toward an Open and Collaborative Software Platform for Digital Pathology Bridged to Molecular Investigations","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund; Innovation for Defence Excellence and Security","keywords":"Computer science; Preprocessor; Digital pathology; Software; Mass spectrometry imaging; MALDI imaging; Laser capture microdissection; Proteomics; Pathology; Artificial intelligence; Medicine; Mass spectrometry; Chemistry; Matrix-assisted laser desorption/ionization","score_opus":0.03974443732168177,"score_gpt":0.38943953784060226,"score_spread":0.3496951005189205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905568839","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39125162,0.000027354858,0.6043934,0.0006867499,0.0000079339,0.0030504228,0.0002011229,0.0000389364,0.0003424526],"genre_scores_gemma":[0.4556944,0.000054729833,0.53611827,0.0022168746,0.00027611622,0.0043671345,0.001063174,0.00004326268,0.00016604523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985591,0.000037767088,0.00046068168,0.00068188185,0.00006494655,0.0001956135],"domain_scores_gemma":[0.9983606,0.00006435015,0.00015433633,0.0006531515,0.00052496325,0.00024262143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041208,0.00015578326,0.00024540405,0.00004829969,0.00019700266,0.00018830392,0.00053445116,0.00020043156,0.000004119888],"category_scores_gemma":[0.00077701674,0.00016095287,0.000064938795,0.00022891887,0.0003830766,0.00002793602,0.00042344184,0.00009695765,0.000015640178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035674465,0.0006870571,0.0053769206,0.000029959792,0.00020747773,0.0000019034272,0.0002156356,0.000006093601,0.937468,0.005859875,0.008161064,0.0416293],"study_design_scores_gemma":[0.0011666646,0.0027393587,0.0016150508,0.000013838447,0.00012123875,0.000014283233,0.00010267331,0.00025029576,0.7975528,0.027404321,0.16842349,0.00059595506],"about_ca_topic_score_codex":0.000009615448,"about_ca_topic_score_gemma":0.0000752206,"teacher_disagreement_score":0.16026242,"about_ca_system_score_codex":0.000014857751,"about_ca_system_score_gemma":0.0001966405,"threshold_uncertainty_score":0.65634674},"labels":[],"label_agreement":null},{"id":"W2909145847","doi":"10.1002/prca.201700111","title":"Multiplexed LC–ESI–MRM‐MS‐based Assay for Identification of Coronary Artery Disease Biomarkers in Human Plasma","year":2019,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; University of Victoria; Prevention of Organ Failure","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome British Columbia; University of Victoria","keywords":"Coronary artery disease; Receiver operating characteristic; Medicine; Area under the curve; Blood proteins; Internal medicine","score_opus":0.0356990941176079,"score_gpt":0.359288598576801,"score_spread":0.3235895044591931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909145847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63630503,0.00003740362,0.35386184,0.00073473615,0.000042893254,0.0070817466,0.0010151803,0.00024980877,0.00067133666],"genre_scores_gemma":[0.8511043,0.000028490054,0.13277052,0.000086403794,0.000092218586,0.014616218,0.0009628721,0.00006529792,0.0002736589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967983,0.0000499664,0.001748727,0.0008629164,0.0002037447,0.00033634427],"domain_scores_gemma":[0.99654764,0.0008145868,0.00086524064,0.0013528591,0.00021081597,0.00020886259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000883717,0.00026930962,0.00044819852,0.00012710608,0.00015883762,0.000033546254,0.00066005957,0.00030078748,0.00012356298],"category_scores_gemma":[0.00022994303,0.00030192675,0.00031779974,0.0003078905,0.00024710837,0.0001290237,0.00010426501,0.00036238192,0.000044743647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046034114,0.0016448905,0.06280301,0.00047079392,0.00008643549,5.946621e-7,0.000017740189,0.0005618691,0.910834,0.015463195,0.00014529758,0.0075118197],"study_design_scores_gemma":[0.0079754675,0.00018007126,0.02511087,0.0002735331,0.0002515465,0.000003364518,0.00009614048,0.14379367,0.7038538,0.1015306,0.0154280765,0.0015028516],"about_ca_topic_score_codex":0.000012192049,"about_ca_topic_score_gemma":0.00001056182,"teacher_disagreement_score":0.22109132,"about_ca_system_score_codex":0.00012326364,"about_ca_system_score_gemma":0.00017321702,"threshold_uncertainty_score":0.99994326},"labels":[],"label_agreement":null},{"id":"W2969100688","doi":"10.1002/prca.201900035","title":"Time‐Dependent Measurement of Nrf2‐Regulated Antioxidant Response to Ionizing Radiation Toward Identifying Potential Protein Biomarkers for Acute Radiation Injury","year":2019,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","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":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada","keywords":"Ionizing radiation; Superoxide dismutase; Acute Radiation Syndrome; Antioxidant; Biomarker; Glutathione; Medicine; Catalase; Radiation sickness; Downregulation and upregulation; Oxidative stress; Biology; Enzyme; Internal medicine; Biochemistry; Cell biology; Irradiation; Stem cell; Gene","score_opus":0.02508374272093485,"score_gpt":0.3306602646609672,"score_spread":0.3055765219400324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969100688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82841384,0.00010561629,0.16485077,0.0006257821,0.00011645739,0.005582323,0.00026140347,0.00002293491,0.000020877593],"genre_scores_gemma":[0.9752984,0.00008012643,0.02219836,0.000102196325,0.00023991901,0.0015555929,0.00032966209,0.00004395387,0.00015178943],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755144,0.00019596805,0.00094900734,0.0007156549,0.00029137166,0.00029656716],"domain_scores_gemma":[0.9981824,0.000047560676,0.00052081636,0.0005998325,0.0004855249,0.00016383326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018284892,0.00021902616,0.00034594597,0.000111924346,0.00011179642,0.0000421911,0.00036769407,0.00027039304,0.000013986782],"category_scores_gemma":[0.0004103098,0.00023812377,0.00025731276,0.00017986205,0.00009664725,0.000015154573,0.00015960044,0.00012904547,0.000057572288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024325056,0.00019705185,0.00035373468,0.000049985247,0.00030783692,1.069613e-7,0.00003993988,0.00015368186,0.9906771,0.000044392214,0.00017187593,0.0055717523],"study_design_scores_gemma":[0.0014679162,0.0004855913,0.0057235877,0.000038437563,0.00011113028,0.0000013396282,0.000039104096,0.0007631872,0.9885664,0.00056316785,0.0019394695,0.00030064338],"about_ca_topic_score_codex":0.000007549703,"about_ca_topic_score_gemma":0.0000014160598,"teacher_disagreement_score":0.14688456,"about_ca_system_score_codex":0.00009791899,"about_ca_system_score_gemma":0.0002230742,"threshold_uncertainty_score":0.97104055},"labels":[],"label_agreement":null},{"id":"W2998366577","doi":"10.1002/prca.201800182","title":"Detection of Antimicrobial Resistance Using Proteomics and the Comprehensive Antibiotic Resistance Database: A Case Study","year":2019,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Manitoba; Public Health Agency of Canada","funders":"Canadian Institutes of Health Research; Cisco Systems Canada; Cisco Systems","keywords":"Antibiotic resistance; Proteomics; Shotgun proteomics; Biology; Genomics; Computational biology; Ciprofloxacin; Genome; Shotgun; Genetics; Campylobacter jejuni; Gene; Antibiotics; Bacteria","score_opus":0.06431616616059453,"score_gpt":0.3310205152124639,"score_spread":0.26670434905186935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998366577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99304545,0.00017202334,0.0013140127,0.0005775348,0.00006929559,0.0046508727,0.00008981856,0.000029888937,0.000051080468],"genre_scores_gemma":[0.99417835,0.00011226016,0.0051449277,0.00020082948,0.00014599373,0.00013004353,0.000015949556,0.0000026492942,0.00006901713],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997843,0.0005185513,0.00078635017,0.00053673715,0.00010375581,0.00021156376],"domain_scores_gemma":[0.9976074,0.0013736737,0.00050227006,0.00028356074,0.00016334366,0.00006971641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010950041,0.00015834538,0.00046847734,0.000012575453,0.00028560206,0.00003295681,0.00027287862,0.00013039917,0.0000070516135],"category_scores_gemma":[0.000146808,0.00006676491,0.00011341429,0.00032990618,0.00045505667,0.00007320271,0.00017573862,0.00029300642,0.0000102175345],"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":[0.0010638686,0.0006561003,0.0659973,0.00011258313,0.000096876196,0.000013549189,0.00013668308,0.000010791609,0.92806584,0.0012169786,0.00003900763,0.002590427],"study_design_scores_gemma":[0.028930072,0.0027278285,0.76520216,0.00085346005,0.0019487637,0.002078423,0.015815372,0.007929903,0.124389194,0.018867094,0.026742745,0.004515008],"about_ca_topic_score_codex":0.00038215556,"about_ca_topic_score_gemma":0.0013793962,"teacher_disagreement_score":0.80367666,"about_ca_system_score_codex":0.000018723478,"about_ca_system_score_gemma":0.000018771761,"threshold_uncertainty_score":0.27225938},"labels":[],"label_agreement":null},{"id":"W3039285421","doi":"10.1002/prca.202000012","title":"Targeted Mass Spectrometry of a Clinically Relevant PSA Variant from Post‐DRE Urines for Quantitation and Genotype Determination","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute","keywords":"Concordance; Prostate cancer; Urine; Genotype; Biomarker; Single-nucleotide polymorphism; SNP; Mass spectrometry; Medicine; Prostate-specific antigen; Internal medicine; Oncology; Cancer; Chromatography; Biology; Chemistry; Genetics; Gene","score_opus":0.050275922247819946,"score_gpt":0.36464556300441564,"score_spread":0.3143696407565957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039285421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4718726,0.0008091885,0.49797037,0.02122755,0.000084962216,0.006864132,0.0009868905,0.000090471614,0.00009382768],"genre_scores_gemma":[0.54245764,0.0011696784,0.45312163,0.0010047364,0.000286348,0.001427109,0.00049317157,0.000026629441,0.000013024468],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980812,0.000044475346,0.0010863569,0.00049671304,0.0001405872,0.0001506382],"domain_scores_gemma":[0.9978596,0.00080772815,0.000465261,0.0002791679,0.00037320994,0.00021501006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034497355,0.00014461414,0.00046221516,0.00004045764,0.00007726012,0.00002294484,0.00009661675,0.00014996323,0.00002779498],"category_scores_gemma":[0.0012077256,0.00012587503,0.0001652578,0.00019131649,0.00010740726,0.000060512055,0.000041770774,0.00017119934,0.000013537816],"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":[0.012023651,0.0066882893,0.33059955,0.002045107,0.002023575,0.00003314347,0.0012381098,0.000029859215,0.37172064,0.02663029,0.0016203912,0.24534738],"study_design_scores_gemma":[0.037058014,0.022195742,0.67537344,0.00047388725,0.0041806614,0.000028371294,0.0004973376,0.053097785,0.06486078,0.12544839,0.015357123,0.0014284885],"about_ca_topic_score_codex":0.000042760923,"about_ca_topic_score_gemma":0.0000069827606,"teacher_disagreement_score":0.34477386,"about_ca_system_score_codex":0.000037518283,"about_ca_system_score_gemma":0.00015261494,"threshold_uncertainty_score":0.51330346},"labels":[],"label_agreement":null},{"id":"W3042184853","doi":"10.1002/prca.202000034","title":"Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University; Jewish General Hospital; University of Victoria","funders":"Warren Y. Soper Charitable Trust; Fondation De Famille Alvin Segal; Ministry of Science and Higher Education of the Russian Federation; Jewish General Hospital; Leading Edge Endowment Fund; Terry Fox Research Institute; Genome British Columbia; Skolkovo Institute of Science and Technology; Genome Canada; McGill University","keywords":"Tensin; PTEN; P110α; Quantitative proteomics; Biology; Chemistry; Molecular biology; Computational biology; Signal transduction; Biochemistry; PI3K/AKT/mTOR pathway; Proteomics","score_opus":0.0664044892868224,"score_gpt":0.33950848565493086,"score_spread":0.27310399636810845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042184853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011655022,0.0002495355,0.97845626,0.0026930587,0.000012647443,0.006670088,0.00019511566,0.00003663256,0.00003166475],"genre_scores_gemma":[0.56278294,0.00047559562,0.41898593,0.000099509045,0.00011874741,0.017459258,0.000019994242,0.000034182653,0.000023809098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981167,0.000037729606,0.0012138217,0.00035090526,0.00013719009,0.00014366214],"domain_scores_gemma":[0.9975926,0.00066912913,0.00094472297,0.00053926685,0.0001968585,0.000057417186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049325346,0.00014117129,0.00036425036,0.000020523219,0.00015014877,0.000021247428,0.0005121194,0.00014892095,0.000015069307],"category_scores_gemma":[0.00023910849,0.00009649994,0.0001506523,0.00035529773,0.00023399357,0.000057283916,0.00009522269,0.0002688928,5.744351e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013551279,0.00046051326,0.0017684585,0.0114194155,0.00012902367,3.6715672e-8,0.00031196154,0.39779806,0.56128347,0.024021301,0.00003693597,0.0026353102],"study_design_scores_gemma":[0.0006202158,0.00004017321,0.0000969161,0.00095607166,0.0002085928,4.8544365e-7,0.00016197268,0.37269968,0.61818373,0.006643332,0.0001657384,0.00022309709],"about_ca_topic_score_codex":0.000023615621,"about_ca_topic_score_gemma":0.000009731192,"teacher_disagreement_score":0.5594703,"about_ca_system_score_codex":0.000029971052,"about_ca_system_score_gemma":0.000089665475,"threshold_uncertainty_score":0.39351535},"labels":[],"label_agreement":null},{"id":"W3159228500","doi":"10.1002/prca.202100003","title":"Proteomic discovery in sickle cell disease: Elevated neurogranin levels in children with sickle cell disease","year":2021,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; School of Medicine, Duke University; National Cancer Institute; National Institutes of Health; Canadian Institutes of Health Research; Instituto Tecnológico de Costa Rica; Georgia Clinical and Translational Science Alliance; Cedars-Sinai Medical Center; Johns Hopkins University","keywords":"Medicine; Proteome; Haptoglobin; Internal medicine; Neurogranin; Biomarker; Disease; Sickle cell anemia; Cell; Hemopexin; Gastroenterology; Bioinformatics; Biology; Biochemistry; Enzyme","score_opus":0.01638598089102757,"score_gpt":0.28853167145292324,"score_spread":0.2721456905618957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159228500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852919,0.0005496454,0.0031836391,0.0038142975,0.000035050358,0.0064006033,0.00021766192,0.000105352556,0.0004018782],"genre_scores_gemma":[0.99025625,0.00057681155,0.0040918677,0.0009281247,0.00012249786,0.0024777586,0.00050814374,0.00008669789,0.00095187314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968721,0.00018739917,0.001052222,0.0010119869,0.00031787943,0.00055839727],"domain_scores_gemma":[0.99789435,0.00012840141,0.00024021193,0.0009728652,0.000122031204,0.00064216607],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036484277,0.00034242688,0.0005747031,0.00013792735,0.000118089716,0.0000723987,0.00026635273,0.00022664822,0.00006004181],"category_scores_gemma":[0.00019137471,0.00029694557,0.00022738012,0.0010813645,0.00027704466,0.00016482023,0.00015062503,0.0010973335,0.00012542638],"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":[0.00074855133,0.0065676873,0.9832508,0.0002504852,0.00005473221,0.00011120648,0.00005705162,0.00053754996,0.006455593,0.00045155283,0.00014602738,0.0013687692],"study_design_scores_gemma":[0.0073639844,0.00019671099,0.9841554,0.00018195913,0.0002631798,0.000011002692,0.00005531534,0.0013371096,0.00332673,0.0015657209,0.0010460345,0.00049685675],"about_ca_topic_score_codex":0.00007237257,"about_ca_topic_score_gemma":0.000029440054,"teacher_disagreement_score":0.0066154334,"about_ca_system_score_codex":0.00009737291,"about_ca_system_score_gemma":0.0011496954,"threshold_uncertainty_score":0.99994826},"labels":[],"label_agreement":null},{"id":"W3176238068","doi":"10.1002/prca.202100037","title":"A proteomic investigation of isogenic radiation resistant prostate cancer cell lines","year":2021,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; Health Sciences Centre; University Health Network","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Heart, Lung, and Blood Institute; Prostate Cancer Canada","keywords":"DU145; Prostate cancer; Cancer research; Epithelial–mesenchymal transition; CD44; Biology; Glycolysis; Radiation therapy; Anaerobic glycolysis; Cancer cell; Cancer; Cell culture; Cell; Medicine; Metastasis; Enzyme; Internal medicine; Biochemistry; LNCaP; Genetics","score_opus":0.056106424241839536,"score_gpt":0.392463241892522,"score_spread":0.3363568176506825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176238068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982508,0.0032243414,0.0011332073,0.0071364967,0.00006763802,0.005098711,0.00017836253,0.00006768225,0.00058556424],"genre_scores_gemma":[0.935293,0.015116724,0.0339743,0.0005167751,0.0005576877,0.0097883735,0.0007057787,0.00006518661,0.0039821826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980396,0.00011118457,0.00085321534,0.00047803388,0.00027400217,0.00024395181],"domain_scores_gemma":[0.99820536,0.00012227164,0.0003352508,0.00051359995,0.0005996644,0.00022386157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045939337,0.0001518218,0.00037841563,0.00005523776,0.00011448209,0.000022664977,0.00011462349,0.00016376325,0.00010195082],"category_scores_gemma":[0.0001406679,0.000130874,0.00018459844,0.0004812173,0.00022599458,0.00009280852,0.00007091971,0.00028676837,0.00003519356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009847538,0.0008616439,0.14581718,0.00078729546,0.0002106827,0.000007005106,0.00028056678,0.000017227921,0.8323799,0.0006784222,0.0007561288,0.0172192],"study_design_scores_gemma":[0.0039877766,0.00038031823,0.09944045,0.0001455334,0.00026976105,0.0000055105024,0.00007357695,0.00056087546,0.88545847,0.0040503824,0.0054111485,0.00021621621],"about_ca_topic_score_codex":0.000115670206,"about_ca_topic_score_gemma":0.000035461857,"teacher_disagreement_score":0.053078562,"about_ca_system_score_codex":0.00018787032,"about_ca_system_score_gemma":0.0014780548,"threshold_uncertainty_score":0.5336887},"labels":[],"label_agreement":null},{"id":"W3199598238","doi":"10.1002/prca.202100062","title":"Label‐free quantitative proteomics identifies unique proteomes of clinical isolates of the Liverpool Epidemic Strain of <i>Pseudomonas aeruginosa</i> and laboratory strain PAO1","year":2021,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bioinformatics Solutions (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Pseudomonas aeruginosa; Microbiology; Virulence; Proteome; Biology; Proteomics; Antibiotic resistance; Genotype; Phenotype; Antibiotics; Quorum sensing; Strain (injury); Polymyxin; Bacteria; Genetics; Gene","score_opus":0.07062976408673734,"score_gpt":0.42243043468818514,"score_spread":0.3518006706014478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199598238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94797033,0.0014279736,0.03378452,0.004308917,0.000090223824,0.008591682,0.0036113767,0.00004904296,0.0001659257],"genre_scores_gemma":[0.5274358,0.0025077183,0.46747112,0.00028087405,0.00017334925,0.0017882902,0.000099245146,0.000063631494,0.00017999197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9944583,0.0009316936,0.003023493,0.0007197422,0.0005165211,0.0003502298],"domain_scores_gemma":[0.9905125,0.0044886633,0.001607914,0.0014652108,0.001654871,0.00027086935],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0038047768,0.00027608022,0.001348821,0.000095792566,0.00011498125,0.00002032176,0.00063259056,0.00035217882,0.00004834205],"category_scores_gemma":[0.0162576,0.00021713614,0.0003612736,0.00079414115,0.0037905206,0.00014644346,0.0005779702,0.001048436,0.0000062073955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000774261,0.0022186607,0.07654814,0.0019641975,0.0005208724,0.000004262258,0.00028702372,0.000017549351,0.8715239,0.039336655,0.00032279346,0.006481667],"study_design_scores_gemma":[0.009043945,0.0026461086,0.19308667,0.001925213,0.00070147135,0.00003488918,0.0019187353,0.0023818472,0.6723656,0.11311322,0.0020547635,0.00072753034],"about_ca_topic_score_codex":0.00003608853,"about_ca_topic_score_gemma":0.000049556176,"teacher_disagreement_score":0.43368658,"about_ca_system_score_codex":0.00003636438,"about_ca_system_score_gemma":0.0016353945,"threshold_uncertainty_score":0.9989206},"labels":[],"label_agreement":null},{"id":"W4239691480","doi":"10.1002/prca.201090107","title":"Proteomic analysis of synaptosomal protein expression reveals that cerebral ischemia alters lysosomal Psap processing","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Breast Cancer Research Alliance","keywords":"Proteomics; Protein expression; Quantitative proteomics; Neuroscience; Chemistry; Biochemistry; Lysosome; Cell biology; Biology; Enzyme; Gene","score_opus":0.019987495349833937,"score_gpt":0.30370147149701565,"score_spread":0.2837139761471817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239691480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8523948,0.000039548213,0.14508331,0.0001750865,0.000035898323,0.0019674164,0.00006241736,0.000032000342,0.00020951417],"genre_scores_gemma":[0.95355713,0.000018940722,0.04240951,0.00006623899,0.00027008727,0.0013881555,0.0020969505,0.00003567383,0.00015732946],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977961,0.00006995833,0.0008614322,0.00074046495,0.00022985553,0.00030218225],"domain_scores_gemma":[0.998274,0.000020330188,0.0005461897,0.0007946634,0.00017830402,0.00018648546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061903475,0.0002411953,0.00044811357,0.00012224408,0.00016311511,0.000034507644,0.00045223205,0.00050622004,0.00005784028],"category_scores_gemma":[0.000090553556,0.00022693569,0.00044992374,0.00039668812,0.0003053909,0.000016291697,0.000111059904,0.0004618485,0.000008684064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013625153,0.00023609084,0.076360755,0.000061015486,0.00015919312,3.3601629e-7,0.000020761854,0.000018094894,0.9217034,0.00022870195,0.000010638136,0.0010647454],"study_design_scores_gemma":[0.0005944198,0.000114918395,0.024394331,0.000027436039,0.0003695786,0.0000025128809,0.000017164872,0.000899947,0.97118324,0.00045080332,0.0016324323,0.00031323082],"about_ca_topic_score_codex":0.000013151827,"about_ca_topic_score_gemma":0.000026798412,"teacher_disagreement_score":0.1026738,"about_ca_system_score_codex":0.000010212345,"about_ca_system_score_gemma":0.00014840724,"threshold_uncertainty_score":0.9254169},"labels":[],"label_agreement":null},{"id":"W4240804612","doi":"10.1002/prca.201190092","title":"A novel procedure for protein extraction from formalin‐fixed paraffin‐embedded tissues","year":2011,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Hakai Institute; Xunta de Galicia","keywords":"Extraction (chemistry); Chemistry; Biology; Chromatography","score_opus":0.0644417557196137,"score_gpt":0.37156512731888913,"score_spread":0.30712337159927544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240804612","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06937911,0.00010947448,0.9234215,0.00044879215,0.00003330548,0.005576095,0.00024678087,0.00010987354,0.0006750748],"genre_scores_gemma":[0.3563681,0.00007809512,0.6201385,0.00047674024,0.0004167426,0.02103333,0.0010942747,0.000047042813,0.00034713116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818766,0.000037925893,0.0006635192,0.00074350013,0.00008090491,0.0002864931],"domain_scores_gemma":[0.99852425,0.000029510398,0.00033897965,0.000757174,0.0002051145,0.00014499974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035746687,0.00022570232,0.00024485518,0.000032996526,0.00020596506,0.000023360271,0.0004365404,0.0005175378,0.00003776341],"category_scores_gemma":[0.00014066992,0.00022009961,0.00023060158,0.00011483475,0.0001726294,0.000008837675,0.0001238533,0.00021528517,0.000038886614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001819578,0.0006951493,0.0003403533,0.000018925306,0.00007598207,1.0577558e-7,0.00002227086,0.0000011850427,0.9776318,0.014844505,0.0006738258,0.005513932],"study_design_scores_gemma":[0.00084115047,0.00040407313,0.0014871142,0.000013842599,0.00007117145,0.0000068813442,0.000023239081,0.00028128858,0.88983357,0.020895502,0.085761145,0.0003810106],"about_ca_topic_score_codex":0.000058362446,"about_ca_topic_score_gemma":0.000047720983,"teacher_disagreement_score":0.30328295,"about_ca_system_score_codex":0.000012584765,"about_ca_system_score_gemma":0.000112013826,"threshold_uncertainty_score":0.8975402},"labels":[],"label_agreement":null},{"id":"W4311945784","doi":"10.1002/prca.202200056","title":"Fast and straightforward simultaneous quantification of multiple apolipoproteins in human serum on a high‐throughput LC‐MS/MS platform","year":2022,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Throughput; High-throughput screening; Chromatography; Chemistry; Computer science; Computational biology; Biology; Biochemistry; Operating system","score_opus":0.041837945876568576,"score_gpt":0.34614301332962055,"score_spread":0.30430506745305197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311945784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8536873,0.000040754963,0.13810565,0.0008732476,0.000026665788,0.0037453533,0.0017481417,0.0002574255,0.0015154958],"genre_scores_gemma":[0.9232092,0.00009949199,0.06676284,0.00011153952,0.0001239641,0.008938105,0.00039296647,0.000065848304,0.00029603476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968932,0.000042229058,0.0014387206,0.00091547717,0.00032476598,0.00038555646],"domain_scores_gemma":[0.99724334,0.00059734937,0.00074975414,0.0011420787,0.00010788168,0.0001595979],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005408451,0.00030572392,0.0005164643,0.00013470223,0.0005817971,0.000035087265,0.00065998046,0.00024745124,0.00023263054],"category_scores_gemma":[0.00015644464,0.0003390681,0.00015686486,0.00043606892,0.0003186823,0.00010228794,0.00037669315,0.0010611715,0.000013151292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000559268,0.0061373045,0.014776853,0.00050859124,0.00014477593,0.000006779275,0.0004406533,0.020778883,0.45633605,0.3926472,0.00014847919,0.10751516],"study_design_scores_gemma":[0.006024449,0.0009527068,0.005694047,0.00016092366,0.00014559973,0.00003593332,0.00067524024,0.04805835,0.58027095,0.31782714,0.038124513,0.0020301573],"about_ca_topic_score_codex":0.00041473098,"about_ca_topic_score_gemma":0.00014904626,"teacher_disagreement_score":0.12393488,"about_ca_system_score_codex":0.00019493826,"about_ca_system_score_gemma":0.000087949506,"threshold_uncertainty_score":0.9999061},"labels":[],"label_agreement":null},{"id":"W4312179819","doi":"10.1002/prca.202200084","title":"Identification of potential extracellular vesicle protein markers altered in osteosarcoma from public databases","year":2022,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","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 Guelph","funders":"Mitacs; University of Guelph","keywords":"Workflow; In silico; Identification (biology); Extracellular vesicles; Osteosarcoma; Database; Computational biology; Extracellular vesicle; Protein expression; Usability; Proteomics; Biology; Bioinformatics; Cancer research; Computer science; Gene; microRNA; Microvesicles; Genetics; Cell biology","score_opus":0.029633014591433575,"score_gpt":0.31222147896639196,"score_spread":0.2825884643749584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312179819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9182341,0.0009020117,0.07687969,0.0006759457,0.000075922864,0.0023087254,0.0008554975,0.000022443606,0.00004568426],"genre_scores_gemma":[0.98192745,0.000047099897,0.012444169,0.00008947367,0.00020263014,0.003131521,0.00194563,0.00003903618,0.00017299516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971321,0.00043087752,0.0011804763,0.0007230163,0.00027497977,0.0002585284],"domain_scores_gemma":[0.9980105,0.000055834804,0.0005294644,0.0011702391,0.0000908526,0.00014307548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011837287,0.00016110323,0.000223254,0.00008035302,0.00016915503,0.000029085406,0.000713035,0.000095089155,0.0001141029],"category_scores_gemma":[0.00029714525,0.0001978416,0.00017726136,0.0002848266,0.00022498312,0.000015886259,0.0005940422,0.0003107341,0.000019402834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023453601,0.0011513588,0.0057233814,0.000021017253,0.000044966357,0.0000025445831,0.000008811165,0.00010073493,0.98664355,0.0014324008,0.00021464101,0.0044220574],"study_design_scores_gemma":[0.0038609274,0.00045625205,0.030656788,0.00002111568,0.00012346373,0.000010876939,0.0003828902,0.006865485,0.9009254,0.010055517,0.045767184,0.00087408134],"about_ca_topic_score_codex":0.00006831125,"about_ca_topic_score_gemma":0.000022261627,"teacher_disagreement_score":0.08571813,"about_ca_system_score_codex":0.000045081397,"about_ca_system_score_gemma":0.00020749087,"threshold_uncertainty_score":0.8067746},"labels":[],"label_agreement":null},{"id":"W4316495911","doi":"10.1002/prca.202200093","title":"Serum proteomics profiling identifies a preliminary signature for the diagnosis of early‐stage lung cancer","year":2023,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Extracellular vesicles in disease","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":"Artificial Intelligence in Medicine (Canada)","funders":"Horizon 2020 Framework Programme; Associazione Italiana per la Ricerca sul Cancro; Ministero della Salute; European Commission","keywords":"Lung cancer; Proteomics; Stage (stratigraphy); Oncology; Cancer; Medicine; Proteome; Internal medicine; Lung; Bioinformatics; Pathology; Biology; Gene","score_opus":0.038301637294749766,"score_gpt":0.3849115340706971,"score_spread":0.34660989677594733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316495911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91996664,0.0024862809,0.06591098,0.0017242183,0.00014990038,0.008411302,0.0012614101,0.000060906284,0.000028377914],"genre_scores_gemma":[0.927708,0.0026302373,0.019524684,0.00025395234,0.0007368571,0.04676195,0.00044205508,0.000091264264,0.0018509779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983407,0.00007121262,0.0006213162,0.0005344624,0.00014939296,0.00028286167],"domain_scores_gemma":[0.9982134,0.0003359888,0.0003321931,0.0007998376,0.00021994102,0.00009863465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007770324,0.00017174656,0.00020732929,0.000037038295,0.00022864895,0.00003649429,0.00057458016,0.0002817113,0.000013050837],"category_scores_gemma":[0.00047733565,0.00014442432,0.00028937406,0.00026737756,0.00028135412,0.0000081205535,0.00032709903,0.00025015566,0.000009881633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011770214,0.0009560969,0.206734,0.0013017769,0.0008211788,0.0000022879467,0.00018089853,0.0037570393,0.75870675,0.0033259073,0.010064677,0.012972373],"study_design_scores_gemma":[0.0010979673,0.00031557877,0.026051996,0.00006792877,0.00033330347,9.336397e-7,0.00014480577,0.008523426,0.95091504,0.0026784597,0.009434905,0.0004356404],"about_ca_topic_score_codex":0.00001603408,"about_ca_topic_score_gemma":0.00001701644,"teacher_disagreement_score":0.19220832,"about_ca_system_score_codex":0.000015502033,"about_ca_system_score_gemma":0.00019956275,"threshold_uncertainty_score":0.58894527},"labels":[],"label_agreement":null},{"id":"W4385662827","doi":"10.1002/prca.202300021","title":"Cerebrospinal fluid proteins in idiopathic intracranial hypertension: An exploratory SWATH proteomics analysis","year":2023,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"All-India Institute of Medical Sciences; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Cerebrospinal fluid; Overweight; Proteomics; Clinical significance; Medicine; Exploratory analysis; Bioinformatics; Pathogenesis; Fold change; Biomarker; Pathology; Internal medicine; Biology; Downregulation and upregulation; Gene; Body mass index; Biochemistry; Computer science","score_opus":0.07307413752287914,"score_gpt":0.3547327431693497,"score_spread":0.2816586056464706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385662827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96450436,0.000056378885,0.022741156,0.003523821,0.000103945444,0.008202535,0.0000737047,0.00064212974,0.000151954],"genre_scores_gemma":[0.93552774,0.00023440016,0.05440882,0.0008310494,0.0009367344,0.0075018066,0.00035049103,0.00011597085,0.000093007846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950671,0.0003111527,0.0019202601,0.0013493431,0.0005931461,0.0007589984],"domain_scores_gemma":[0.9967208,0.00015371547,0.00039785443,0.0016801329,0.0004148353,0.0006326513],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002600611,0.00042587277,0.0013830522,0.0007366907,0.00032984774,0.00007879239,0.0005208454,0.0005813008,0.00008818844],"category_scores_gemma":[0.0006080634,0.00041175383,0.0005524363,0.0044588074,0.0003902075,0.00027266983,0.00027170253,0.0012572324,0.00087182556],"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":[0.0033970317,0.021652985,0.57867724,0.0012017828,0.0029113535,0.000463289,0.0023047456,0.0012115213,0.32871434,0.010262525,0.0008272591,0.048375923],"study_design_scores_gemma":[0.0071487324,0.00332641,0.89522344,0.0002940257,0.0027772859,0.00014156965,0.000712255,0.06901284,0.00763038,0.0103693325,0.0017404581,0.0016232523],"about_ca_topic_score_codex":0.0001471148,"about_ca_topic_score_gemma":0.00044933247,"teacher_disagreement_score":0.32108396,"about_ca_system_score_codex":0.00026623558,"about_ca_system_score_gemma":0.00068666926,"threshold_uncertainty_score":0.9999061},"labels":[],"label_agreement":null},{"id":"W4412031136","doi":"10.1002/prca.70014","title":"Plasma Proteomic Profiling of a Group of Anxious Dogs by LC‐MS/MS: A Case–Control Study","year":2025,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","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; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Université de Montréal; Jewish General Hospital; Natural Sciences and Engineering Research Council of Canada; Warren Y. Soper Charitable Trust; McGill University","keywords":"Anxiety; Proteomics; Proteome; Bioinformatics; Computational biology; Pathophysiology; Medicine; Fibrinogen; Disease; Internal medicine; Biology; Genetics; Psychiatry; Gene","score_opus":0.023957128547880176,"score_gpt":0.39386000077837946,"score_spread":0.3699028722304993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412031136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600208,0.00024986902,0.03310577,0.00019027774,0.000059482565,0.005434256,0.00024357987,0.000024948682,0.00067101815],"genre_scores_gemma":[0.9875365,0.00007444152,0.007845542,0.000115402996,0.00010620537,0.0040450688,0.00003103576,0.00002237742,0.000223451],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977158,0.00016802317,0.0012045865,0.0005835813,0.00012346717,0.00020454676],"domain_scores_gemma":[0.9983133,0.00016904388,0.00051506463,0.00061999046,0.00031682372,0.00006579924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000706538,0.00020079265,0.00047767855,0.000071082715,0.00013727737,0.000016650298,0.0003132261,0.00019647906,0.000012609164],"category_scores_gemma":[0.00038248475,0.00019262855,0.00021222442,0.00020070441,0.00026111025,0.000006461603,0.00022288231,0.00027056647,0.000008910933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077427266,0.003970194,0.09845159,0.00015811816,0.0013435944,0.000003907989,0.00010849294,0.000026730579,0.88790715,0.0016362563,0.0011630227,0.004456684],"study_design_scores_gemma":[0.0145434765,0.006296919,0.027050532,0.00014705285,0.001512888,0.000077106895,0.0014186356,0.0020302525,0.92261064,0.0023478884,0.020709293,0.0012553183],"about_ca_topic_score_codex":0.00010431839,"about_ca_topic_score_gemma":0.00014943672,"teacher_disagreement_score":0.07140106,"about_ca_system_score_codex":0.000023175297,"about_ca_system_score_gemma":0.000101848425,"threshold_uncertainty_score":0.78551644},"labels":[],"label_agreement":null}]}