{"meta":{"query_hash":"2e1fb5401361","filters":{"venue":"OMICS A Journal of Integrative Biology"},"cohort_total":84,"direct_labels_cover":0,"predictions_cover":84,"exported":84,"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/2e1fb5401361","api":"https://metacan.xera.ac/api/v1/cohort?venue=OMICS+A+Journal+of+Integrative+Biology"},"results":[{"id":"W1193736222","doi":"10.1089/omi.2013.0075","title":"Spectroimmunohistochemistry: A Novel Form of MALDI Mass Spectrometry Imaging Coupled to Immunohistochemistry for Tracking Antibodies","year":2013,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"MALDI imaging; Immunohistochemistry; Antibody; Mass spectrometry imaging; Biomarker; Mass spectrometry; Antigen; Biomarker discovery; Monoclonal antibody; Primary and secondary antibodies; Computational biology; Chemistry; Proteomics; Pathology; Biology; Matrix-assisted laser desorption/ionization; Medicine; Chromatography; Immunology; Biochemistry","score_opus":0.01194937222034015,"score_gpt":0.2958625190939463,"score_spread":0.28391314687360614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1193736222","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048384547,0.010785092,0.92345166,0.00079383416,0.00053353986,0.00044116075,0.00041843232,0.0047967923,0.010394909],"genre_scores_gemma":[0.11929467,0.009528783,0.8529211,0.000854725,0.0004119729,0.00068754546,0.00065240334,0.00049581437,0.015152979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998393,0.00034149087,0.00006781257,0.0005058366,0.00057138636,0.000120380464],"domain_scores_gemma":[0.99912614,0.0002505061,0.00016376015,0.00017693883,0.0001987219,0.000084012725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016296284,0.0020118083,0.0007630992,0.0030308333,0.00064450514,0.0015368719,0.0016246911,0.0015302802,0.00434648],"category_scores_gemma":[0.00070041104,0.0012873,0.00070358714,0.001164576,0.0013194613,0.0017764135,0.0014918838,0.0018019823,0.0030830763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051965304,0.000032182827,0.00027011216,0.00016711677,0.000026964617,0.000089213725,0.000042166826,0.00010145593,0.9734116,0.0012144214,0.00062280626,0.023970123],"study_design_scores_gemma":[0.000025895333,0.00026815248,0.0016932563,0.000040200568,0.000051038198,0.0023925186,0.000051340627,0.0059709037,0.95515937,0.0011806904,0.03311067,0.000056130673],"about_ca_topic_score_codex":0.00044986533,"about_ca_topic_score_gemma":0.0011135897,"teacher_disagreement_score":0.00434648,"about_ca_system_score_codex":0.000689373,"about_ca_system_score_gemma":0.0005644019,"threshold_uncertainty_score":0.014540434},"labels":[],"label_agreement":null},{"id":"W1536526355","doi":"10.1089/omi.2007.0042","title":"Integrating Anticipated Nutrigenomics Bioscience Applications with Ethical Aspects","year":2008,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","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":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Nutrigenomics; Bioethics; Engineering ethics; Medicine; Context (archaeology); Engineering; Biology; Genetics","score_opus":0.01524385118833278,"score_gpt":0.28806722437815946,"score_spread":0.2728233731898267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536526355","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0091183,0.008252665,0.05521735,0.8224633,0.004866828,0.00029537614,0.000059344402,0.00009910274,0.09962773],"genre_scores_gemma":[0.3974393,0.015712993,0.093691856,0.43456924,0.011940799,0.0013310643,0.00015800615,0.0003776328,0.04477914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8481671,0.100677885,0.006309832,0.0074285623,0.03157592,0.005840596],"domain_scores_gemma":[0.7861238,0.15356559,0.010378575,0.012756615,0.028005289,0.009170168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1322405,0.00097075175,0.0010581627,0.001797336,0.011634402,0.0253737,0.0034674676,0.024475645,0.006170284],"category_scores_gemma":[0.1751664,0.00085076666,0.0015073695,0.0014348878,0.045084942,0.017803898,0.016414661,0.026925988,0.0021238017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031333133,0.0000776657,0.0016465855,0.00031586306,0.000022474336,0.0013498407,0.017809702,0.00063886127,0.000700196,0.89160776,0.03540555,0.05039419],"study_design_scores_gemma":[0.000016473628,0.00006566611,0.000619982,0.0013257811,0.000023772232,0.0012754065,0.011144974,0.0007870991,0.00073444116,0.6259562,0.3579759,0.00007427602],"about_ca_topic_score_codex":0.0019001521,"about_ca_topic_score_gemma":0.0028975012,"teacher_disagreement_score":0.1322405,"about_ca_system_score_codex":0.011002446,"about_ca_system_score_gemma":0.028842973,"threshold_uncertainty_score":0.699363},"labels":[],"label_agreement":null},{"id":"W1543782282","doi":"10.1089/omi.2006.10.185","title":"National Center for Biomedical Ontology: Advancing Biomedicine through Structured Organization of Scientific Knowledge","year":2006,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Human Genome Research Institute","keywords":"Ontology; Biomedicine; Computer science; Dissemination; Open Biomedical Ontologies; Context (archaeology); Resource (disambiguation); Knowledge management; Data science; Upper ontology; World Wide Web; Quality (philosophy); Semantic Web; Suggested Upper Merged Ontology; Bioinformatics","score_opus":0.013108609816200769,"score_gpt":0.3132670196152181,"score_spread":0.3001584097990173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543782282","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020762351,0.0043689017,0.92219365,0.031068664,0.0017356586,0.0010616361,0.003114033,0.007128542,0.027252756],"genre_scores_gemma":[0.011773712,0.004391577,0.9669339,0.004220407,0.00053947436,0.001127804,0.0076276585,0.00071730197,0.0026681111],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.980053,0.008909091,0.0032418019,0.0020106405,0.005060806,0.0007246522],"domain_scores_gemma":[0.94936335,0.018199835,0.003813125,0.017606169,0.0070987004,0.00391878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03531606,0.0013944681,0.0018337832,0.011176434,0.004745195,0.013098968,0.005682231,0.0042138128,0.0059603285],"category_scores_gemma":[0.057579488,0.0014279548,0.0028749562,0.013505346,0.0069392533,0.020009201,0.020504255,0.007828604,0.003958399],"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":[0.00008408076,0.00018160683,0.0018270985,0.0016777435,0.00018151644,0.00026179204,0.0028404063,0.0018480683,0.0026615518,0.6664125,0.10555577,0.21646796],"study_design_scores_gemma":[0.0000870769,0.0000472579,0.0010444929,0.0013649852,0.000114969574,0.00027183612,0.00072902715,0.007883747,0.0016465978,0.47122428,0.5155025,0.000083323604],"about_ca_topic_score_codex":0.013944199,"about_ca_topic_score_gemma":0.010852256,"teacher_disagreement_score":0.03531606,"about_ca_system_score_codex":0.0061773793,"about_ca_system_score_gemma":0.036794256,"threshold_uncertainty_score":0.18677145},"labels":[],"label_agreement":null},{"id":"W1565936142","doi":"10.1089/omi.2013.0176","title":"HFIP Extraction Followed by 2D CTAB/SDS-PAGE Separation: A New Methodology for Protein Identification from Tissue Sections after MALDI Mass Spectrometry Profiling for Personalized Medicine Research","year":2014,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Mass Spectrometry 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":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche; Prostate Cancer Canada; Movember Foundation","keywords":"Chromatography; Mass spectrometry; Matrix-assisted laser desorption/ionization; Biomarker discovery; Chemistry; Protein purification; Mass spectrometry imaging; Proteomics; Biochemistry; Desorption","score_opus":0.08143612550394566,"score_gpt":0.4433361950923967,"score_spread":0.361900069588451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565936142","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17152055,0.02259875,0.79423594,0.0013880394,0.00095725677,0.0010577213,0.0017361004,0.0024604255,0.004045312],"genre_scores_gemma":[0.14974207,0.02197257,0.81420577,0.00076316606,0.00038672553,0.0008129487,0.003140716,0.00045954602,0.008516513],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921846,0.00011142366,0.00006769475,0.00026543988,0.00025088718,0.000086086504],"domain_scores_gemma":[0.9995813,0.000080658174,0.00009498745,0.000074886804,0.000113474205,0.00005475947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083639193,0.0017558434,0.0008922648,0.0020370511,0.0006579486,0.0011652701,0.0011867519,0.0011272228,0.0009915975],"category_scores_gemma":[0.00047808987,0.00077413034,0.0006614534,0.000893727,0.0005304832,0.0014452712,0.0009489129,0.0017808465,0.0021904474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017537774,0.000018242592,0.0000656844,0.00007898673,0.000008511439,0.000047190017,0.000015699949,0.00002439097,0.9951219,0.00005858013,0.00010187145,0.0044412888],"study_design_scores_gemma":[0.000009900531,0.00014082642,0.002691458,0.00003105269,0.00005525254,0.001262464,0.000030873125,0.0018904913,0.97880495,0.00022474743,0.014814254,0.000043696567],"about_ca_topic_score_codex":0.0005930074,"about_ca_topic_score_gemma":0.0012666223,"teacher_disagreement_score":0.0020370511,"about_ca_system_score_codex":0.0003934908,"about_ca_system_score_gemma":0.0007537025,"threshold_uncertainty_score":0.0044233203},"labels":[],"label_agreement":null},{"id":"W1588611480","doi":"10.1089/omi.2014.0079","title":"Translating Biotechnology to Knowledge-Based Innovation, Peace, and Development? Deploy a Science Peace Corps—An Open Letter to World Leaders","year":2014,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Engineering ethics; Political science; Engineering; Management; Environmental ethics; Economics","score_opus":0.07970443937896222,"score_gpt":0.3950033885484537,"score_spread":0.31529894916949147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588611480","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019939702,0.0023718365,0.00045463492,0.97744036,0.015876431,0.000007972777,0.00001181453,0.000031371692,0.003606183],"genre_scores_gemma":[0.018403532,0.0063373633,0.0028612474,0.9195405,0.028598923,0.00006307601,0.000059925864,0.00021734872,0.023917917],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9724761,0.012111682,0.0015337989,0.002576747,0.0076202503,0.0036813207],"domain_scores_gemma":[0.9303628,0.047169928,0.002641254,0.0033653239,0.0065280707,0.009932584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03630023,0.0012042961,0.0012792374,0.0015910638,0.014461608,0.03624407,0.0027649887,0.038101185,0.010762775],"category_scores_gemma":[0.0766135,0.00083240145,0.0014454012,0.0019316731,0.02845775,0.041712794,0.014583928,0.04901151,0.006055977],"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":[0.000037654438,0.0000550436,0.00013946426,0.0001282561,0.000011725585,0.0002086612,0.0023510973,0.00012675075,0.0003176828,0.1772571,0.7965655,0.022801036],"study_design_scores_gemma":[0.000014129082,0.000031112642,0.00008495959,0.0002144319,0.00000495343,0.00007692042,0.0023061575,0.00013378874,0.00018274829,0.049966644,0.9469554,0.000028781957],"about_ca_topic_score_codex":0.002519849,"about_ca_topic_score_gemma":0.0030744153,"teacher_disagreement_score":0.038101185,"about_ca_system_score_codex":0.008883157,"about_ca_system_score_gemma":0.028387515,"threshold_uncertainty_score":0.19197625},"labels":[],"label_agreement":null},{"id":"W1594022421","doi":"10.1089/omi.2007.0043","title":"Characterizing Regulation of Metabolism in <i>Geobacter sulfurreducens</i> through Genome-Wide Expression Data and Sequence Analysis","year":2008,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geobacter sulfurreducens; Biology; Operon; Computational biology; DNA binding site; Microarray analysis techniques; Geobacter; Gene; Genetics; Gene expression; Promoter; Bacteria; Escherichia coli","score_opus":0.03176442872337348,"score_gpt":0.26486433414810656,"score_spread":0.23309990542473308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594022421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99521244,0.0001465681,0.0033173694,0.000032967684,0.0000039613597,0.000015559619,0.0010409846,0.000046495785,0.00018377308],"genre_scores_gemma":[0.982843,0.0002553071,0.012376656,0.00006390371,0.000005153948,0.00006503174,0.0041806106,0.000024383833,0.00018588414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997234,0.00004477507,0.000018099152,0.00010536618,0.000071606206,0.000036751604],"domain_scores_gemma":[0.9998012,0.000071229406,0.00004364247,0.000020782716,0.00004676669,0.000016469152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035963274,0.00043307588,0.0005227562,0.000343957,0.0002384353,0.00038963134,0.00027361183,0.000314156,0.00019381726],"category_scores_gemma":[0.00043672867,0.00018529764,0.0006134844,0.0005751259,0.0002620064,0.00015581364,0.00016892685,0.00033689436,0.0000813049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014382628,0.00006839528,0.01419289,0.00009390434,0.000050271472,0.00004668585,0.000054173535,0.008408421,0.9735163,0.0000919537,0.00007147422,0.0032617305],"study_design_scores_gemma":[0.00004072794,0.00052203354,0.2904145,0.000014328355,0.00016381429,0.00022987326,0.00035825282,0.104003616,0.6014989,0.00057530473,0.0021126943,0.000066008186],"about_ca_topic_score_codex":0.006333553,"about_ca_topic_score_gemma":0.009192152,"teacher_disagreement_score":0.006333553,"about_ca_system_score_codex":0.0006159953,"about_ca_system_score_gemma":0.00048313887,"threshold_uncertainty_score":0.012593389},"labels":[],"label_agreement":null},{"id":"W1794482832","doi":"10.1089/omi.2012.0005","title":"Prioritizing Cancer Therapeutic Small Molecules by Integrating Multiple OMICS Datasets","year":2012,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"DrugBank; Toxicogenomics; Drug discovery; Computer science; Computational biology; Cancer; Omics; Genomics; Gene selection; Bioinformatics; Drug; Biology; Gene; Pharmacology; Microarray analysis techniques; Genome; Genetics","score_opus":0.0400914198172459,"score_gpt":0.34814351126449467,"score_spread":0.30805209144724877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1794482832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2128572,0.006850257,0.7512606,0.0026927711,0.00019798626,0.0010471236,0.013270928,0.006410441,0.0054127285],"genre_scores_gemma":[0.39403367,0.003053732,0.5826647,0.0007047537,0.00017817518,0.00056123326,0.017317932,0.0003478843,0.0011378644],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884725,0.0004156734,0.00009277572,0.00020824313,0.00035190242,0.00008418543],"domain_scores_gemma":[0.9983132,0.0010318074,0.00018558874,0.0001405148,0.0002279991,0.00010089755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019311045,0.002298816,0.0023714234,0.0058441735,0.0009795037,0.0021385532,0.0011948255,0.00088429154,0.0024255395],"category_scores_gemma":[0.0034064597,0.0005884281,0.0032655613,0.004806485,0.0004698271,0.0016806049,0.0014751456,0.001163695,0.0004725852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001802584,0.0009818033,0.038175706,0.0028193379,0.002103918,0.0008599134,0.00019872778,0.40323868,0.09418248,0.00896628,0.008955628,0.437715],"study_design_scores_gemma":[0.00023480786,0.00055474724,0.011386073,0.000087940665,0.0011084686,0.00028647922,0.00023430814,0.9137358,0.031047212,0.024746148,0.01646705,0.00011101804],"about_ca_topic_score_codex":0.00576247,"about_ca_topic_score_gemma":0.01134785,"teacher_disagreement_score":0.0058441735,"about_ca_system_score_codex":0.001271737,"about_ca_system_score_gemma":0.0042831884,"threshold_uncertainty_score":0.0114578605},"labels":[],"label_agreement":null},{"id":"W1857639441","doi":"10.1089/omi.2015.0075","title":"An Appeal to the Global Health Community for a Tripartite Innovation: An “Essential Diagnostics List,” “Health in All Policies,” and “See-Through 21 <sup>st</sup> Century Science and Ethics”","year":2015,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pancreas Centre (Canada); University of Toronto; York University","funders":"Economic and Social Research Council","keywords":"Appeal; Corporate governance; Big data; Intellectual property; Transparency (behavior); Currency; Business; Political science; Public relations; Knowledge management; Economics; Computer science; Management; Law","score_opus":0.1647533918995771,"score_gpt":0.506860711954684,"score_spread":0.34210732005510686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857639441","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018631181,0.0035198957,0.00892661,0.9454119,0.005170723,0.00004774729,0.000042320396,0.000073298055,0.034944315],"genre_scores_gemma":[0.18681237,0.0039970404,0.01555512,0.76601183,0.0061901496,0.00040053285,0.00011553995,0.00018165132,0.020735754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9566975,0.023366747,0.0012930426,0.004455948,0.010711774,0.0034749818],"domain_scores_gemma":[0.9583641,0.02367648,0.0032556914,0.0038724176,0.005637091,0.0051941695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039862458,0.0009916589,0.0010726005,0.002074782,0.009631523,0.022569627,0.0025391853,0.032842755,0.0058964775],"category_scores_gemma":[0.03670331,0.00071841275,0.0013809911,0.0015375678,0.0819509,0.028198594,0.016471852,0.034597076,0.0018382522],"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":[0.000012213167,0.00001343497,0.00018713073,0.00008681258,0.000006703685,0.00007294905,0.0034697657,0.00007545775,0.0001705046,0.95271003,0.037703127,0.0054919356],"study_design_scores_gemma":[0.000024335832,0.00004767251,0.00035786114,0.00036137525,0.000015311633,0.00023839214,0.0047128056,0.00034246326,0.0002474927,0.60244066,0.39115965,0.00005201729],"about_ca_topic_score_codex":0.0051417574,"about_ca_topic_score_gemma":0.0056787916,"teacher_disagreement_score":0.039862458,"about_ca_system_score_codex":0.011367421,"about_ca_system_score_gemma":0.022090703,"threshold_uncertainty_score":0.21081531},"labels":[],"label_agreement":null},{"id":"W1964318336","doi":"10.1089/omi.2010.0022","title":"Standardization and Omics Science: Technical and Social Dimensions Are Inseparable and Demand Symmetrical Study","year":2010,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Calgary; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Standardization; Interoperability; Engineering ethics; Flexibility (engineering); Quality (philosophy); Legitimacy; Realm; Process (computing); Data science; Knowledge management; Political science; Computer science; Engineering; Management; World Wide Web; Politics; Law","score_opus":0.09647005523570067,"score_gpt":0.44478057983109553,"score_spread":0.34831052459539485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964318336","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029174372,0.96916145,0.0039122645,0.019891154,0.00090505596,0.00001787254,0.000014414063,0.000023362445,0.005782641],"genre_scores_gemma":[0.0070302393,0.9765327,0.008019779,0.0047504245,0.0023929933,0.00006407024,0.0000376721,0.000019975356,0.0011521371],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9804391,0.008965494,0.0013827718,0.0013419709,0.0075149173,0.0003557514],"domain_scores_gemma":[0.94506484,0.045070276,0.0023863914,0.0028128177,0.0039204415,0.0007452447],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.023787318,0.0012747365,0.0025806918,0.008868161,0.0017892886,0.008350229,0.002398962,0.0055241985,0.002366],"category_scores_gemma":[0.024392001,0.00059419445,0.0011228872,0.012083724,0.014661622,0.016268598,0.0043412545,0.0066404585,0.0015623904],"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":[0.000024308743,0.00006757737,0.0006779361,0.0123908045,0.0001709084,0.00021803552,0.0017923812,0.00067238085,0.000884265,0.2997237,0.021001888,0.6623759],"study_design_scores_gemma":[0.000016314276,0.000050242405,0.0013656396,0.009679122,0.0000585719,0.0007256628,0.0020707843,0.00025373822,0.0004373313,0.18207943,0.8032038,0.00005927006],"about_ca_topic_score_codex":0.0026101775,"about_ca_topic_score_gemma":0.0032722016,"teacher_disagreement_score":0.9982107,"about_ca_system_score_codex":0.0045340993,"about_ca_system_score_gemma":0.0101180775,"threshold_uncertainty_score":0.12580085},"labels":[],"label_agreement":null},{"id":"W1964622469","doi":"10.1089/15362310260256882","title":"Nontargeted Metabolome Analysis by Use of Fourier Transform Ion Cyclotron Mass Spectrometry","year":2002,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":423,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Phenomenome Discoveries (Canada)","funders":"","keywords":"Metabolome; Mass spectrometry; Fourier transform ion cyclotron resonance; Atmospheric-pressure chemical ionization; Metabolomics; Metabolite; Electrospray ionization; Chemistry; Chromatography; Analytical Chemistry (journal); Ionization; Biology; Computational biology; Chemical ionization; Ion; Biochemistry","score_opus":0.013472461561405849,"score_gpt":0.24558849002951683,"score_spread":0.23211602846811097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964622469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3786371,0.0041376376,0.598076,0.0003663781,0.0001760136,0.00086956687,0.0079513695,0.0029910025,0.006794865],"genre_scores_gemma":[0.41572055,0.00512243,0.5642655,0.0005101762,0.00011576151,0.0013198078,0.0068330285,0.00032977638,0.005782948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948394,0.000053107855,0.00003054559,0.0001972579,0.00019325488,0.00004189826],"domain_scores_gemma":[0.9995902,0.00013936716,0.0000778434,0.000054556767,0.00010868425,0.000029430157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053221436,0.001069306,0.00050147105,0.0016072684,0.00039111677,0.0005448587,0.00063266966,0.00063194084,0.0019832614],"category_scores_gemma":[0.00068066077,0.00028900846,0.0005556541,0.00077081413,0.00032802182,0.00068965397,0.0007304811,0.0007595204,0.00078856794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009230868,0.00003306724,0.0006011526,0.00008930744,0.00003638382,0.000072553485,0.000018163471,0.00013259405,0.9875823,0.00017112258,0.00013384304,0.011037225],"study_design_scores_gemma":[0.00006045455,0.0004247357,0.017473312,0.00002705492,0.00009758046,0.0012498812,0.00005672072,0.016879618,0.95642376,0.0011211178,0.006110507,0.00007525993],"about_ca_topic_score_codex":0.0006249079,"about_ca_topic_score_gemma":0.001409963,"teacher_disagreement_score":0.0019832614,"about_ca_system_score_codex":0.00024874063,"about_ca_system_score_gemma":0.00043676965,"threshold_uncertainty_score":0.0066346526},"labels":[],"label_agreement":null},{"id":"W1967304074","doi":"10.1089/omi.2006.0003","title":"Application of DNA Microarrays in the Study of Human Obesity and Type 2 Diabetes","year":2007,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Newfoundland and Labrador Centre for Applied Health Research","keywords":"DNA microarray; GLUT4; Biology; Microarray; Type 2 diabetes; Obesity; Gene expression profiling; Gene; Microarray analysis techniques; Bioinformatics; Disease; Gene expression; Genetics; Endocrinology; Diabetes mellitus; Medicine; Internal medicine; Insulin resistance","score_opus":0.02361491805184589,"score_gpt":0.33946909687824595,"score_spread":0.31585417882640004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967304074","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043957897,0.73001033,0.1790038,0.010806372,0.005164634,0.00077944755,0.003929009,0.0011639504,0.025184512],"genre_scores_gemma":[0.10574491,0.5474822,0.3234161,0.0047105593,0.0016129575,0.0015475494,0.0034907442,0.00008130447,0.01191364],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977189,0.0010559483,0.00018431571,0.00035154328,0.00056950666,0.00011976415],"domain_scores_gemma":[0.9992712,0.00034041502,0.000085027954,0.00005678058,0.00019894494,0.00004759258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032340318,0.00044936896,0.0010871781,0.002112836,0.00054877286,0.0012570232,0.00060965755,0.0013973323,0.0015830976],"category_scores_gemma":[0.001484169,0.00044119445,0.0006184266,0.0026769713,0.0005018655,0.00071630406,0.0006793445,0.0013738857,0.0015132733],"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":[0.00042566014,0.00014364914,0.006452875,0.0044603483,0.00022518763,0.0006584189,0.00031183063,0.00079631404,0.55899954,0.008659931,0.013508913,0.4053573],"study_design_scores_gemma":[0.000096813616,0.0011522247,0.038399618,0.0015393979,0.00047689112,0.0041711875,0.000765162,0.0036770653,0.18935062,0.010254663,0.74989504,0.00022128905],"about_ca_topic_score_codex":0.000717528,"about_ca_topic_score_gemma":0.0012252908,"teacher_disagreement_score":0.0032340318,"about_ca_system_score_codex":0.0006341415,"about_ca_system_score_gemma":0.0008435136,"threshold_uncertainty_score":0.017103374},"labels":[],"label_agreement":null},{"id":"W1975957527","doi":"10.1089/omi.2006.10.231","title":"Taking the First Steps towards a Standard for Reporting on Phylogenies: Minimum Information about a Phylogenetic Analysis (MIAPA)","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Canadian Institute for Advanced Research","funders":"National Institute of General Medical Sciences","keywords":"Phylogenomics; Phylogenetic tree; Phylogenetics; Biology; Genomics; Phylogenetic network; Evolutionary biology; Genome; Phylogenetic diversity; Supermatrix; Computational biology; Data science; Gene; Genetics; Computer science; Clade","score_opus":0.03650009560321178,"score_gpt":0.3414475756994088,"score_spread":0.30494748009619704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975957527","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00085328467,0.7080672,0.19081354,0.06838909,0.01069668,0.00035710572,0.00044753388,0.0014986871,0.018876841],"genre_scores_gemma":[0.00975277,0.52192444,0.43089777,0.023783691,0.0053162063,0.0010813668,0.0013006347,0.00051342486,0.005429652],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9815818,0.006416059,0.0036381893,0.0012032916,0.006779653,0.00038094967],"domain_scores_gemma":[0.94053835,0.033474192,0.0042141927,0.0064036394,0.013454733,0.0019148854],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05223284,0.0013913513,0.0033091342,0.0065947687,0.0012090435,0.005750219,0.0071108504,0.005758223,0.0020019992],"category_scores_gemma":[0.05001986,0.0011460525,0.001333645,0.0054160804,0.0075020264,0.011650233,0.0036995802,0.015183758,0.00529775],"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":[0.00007369092,0.00007289855,0.00040261765,0.006255099,0.00007715521,0.0003010457,0.0006968375,0.0004735434,0.002189629,0.16168827,0.08235603,0.7454131],"study_design_scores_gemma":[0.0000153473,0.000071537266,0.00067566714,0.0035449672,0.00005278304,0.0013159506,0.0001955445,0.0002794498,0.001384403,0.036188107,0.95620525,0.0000709129],"about_ca_topic_score_codex":0.0025018847,"about_ca_topic_score_gemma":0.0015626982,"teacher_disagreement_score":0.94776714,"about_ca_system_score_codex":0.0035114083,"about_ca_system_score_gemma":0.008472764,"threshold_uncertainty_score":0.276237},"labels":[],"label_agreement":null},{"id":"W1979196241","doi":"10.1089/omi.2009.0013","title":"Genome–Environment Interactions and Prospective Technology Assessment: Evolution from Pharmacogenomics to Nutrigenomics and Ecogenomics","year":2009,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","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":"Université de Montréal; Université du Québec","funders":"","keywords":"Nutrigenomics; Pharmacogenomics; Genomics; Genome; Data science; Biology; Biotechnology; Bioinformatics; Genetics; Computer science; Gene","score_opus":0.012487809093507675,"score_gpt":0.31974524435337154,"score_spread":0.3072574352598639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979196241","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116757825,0.17369504,0.40312675,0.2149519,0.0024209006,0.000598606,0.001201805,0.00065378746,0.08659344],"genre_scores_gemma":[0.6531266,0.07676598,0.23661639,0.025183056,0.002811564,0.00056295155,0.00042581317,0.00029099034,0.004216592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9656024,0.023810651,0.0013446977,0.0045004804,0.004111687,0.00063012866],"domain_scores_gemma":[0.86400795,0.11214384,0.0062222267,0.006496137,0.009668906,0.0014609849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0646372,0.0013787256,0.0021652563,0.0075293253,0.0019853928,0.011417489,0.0022647672,0.0057669273,0.0026000177],"category_scores_gemma":[0.097948894,0.0009662506,0.0014129606,0.008042754,0.03157956,0.012416825,0.0072974907,0.008324045,0.00051856216],"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":[0.0003796735,0.00022878045,0.071191415,0.0015732483,0.00085942453,0.0008094373,0.007378348,0.010632271,0.002010397,0.56917566,0.0057598976,0.3300014],"study_design_scores_gemma":[0.00006212181,0.00034651678,0.03593446,0.0011184942,0.00022379165,0.0009950332,0.0031807253,0.01064925,0.0022096059,0.8680876,0.07688005,0.0003123729],"about_ca_topic_score_codex":0.0053264294,"about_ca_topic_score_gemma":0.0030040815,"teacher_disagreement_score":0.0646372,"about_ca_system_score_codex":0.008451459,"about_ca_system_score_gemma":0.005502569,"threshold_uncertainty_score":0.34183824},"labels":[],"label_agreement":null},{"id":"W1989038811","doi":"10.1089/omi.2006.10.311","title":"Microarrays as Validation Strategies in Clinical Samples: Tissue and Protein Microarrays","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"DNA microarray; Protein microarray; Tissue microarray; Microarray; Context (archaeology); Biology; Computational biology; Protein Array Analysis; Antibody microarray; Proteomics; Gene expression; Gene; Immunohistochemistry; Genetics; Antibody; Immunology","score_opus":0.040001949233690715,"score_gpt":0.41072731515193955,"score_spread":0.37072536591824884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989038811","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017665993,0.9780637,0.015629157,0.0022247985,0.0014457476,0.00008153281,0.00005437133,0.00010192204,0.0022220947],"genre_scores_gemma":[0.002680787,0.96209407,0.026388086,0.0033541985,0.0014598304,0.00033233146,0.0001901412,0.00004483519,0.003455605],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.992983,0.0026722506,0.0005057477,0.00081710104,0.002861542,0.00016038398],"domain_scores_gemma":[0.99202055,0.005068025,0.0004938701,0.00046663528,0.0017317493,0.00021924215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013761814,0.002251797,0.0038673384,0.0042105787,0.0004817094,0.002802126,0.0033704739,0.005574721,0.002756178],"category_scores_gemma":[0.010139798,0.0010503158,0.00087159406,0.0037931527,0.0037166995,0.003894127,0.0016307529,0.0052624494,0.005298481],"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":[0.000118611366,0.00008754816,0.0004615123,0.009752012,0.00012352511,0.00043365057,0.00023954989,0.00090610445,0.010854984,0.022319337,0.044031724,0.91067135],"study_design_scores_gemma":[0.000040070274,0.00015599097,0.0013552562,0.0024922746,0.000088335,0.0028371408,0.00017393754,0.00057697674,0.0068798386,0.015470237,0.96984196,0.000088007306],"about_ca_topic_score_codex":0.0009903433,"about_ca_topic_score_gemma":0.000828102,"teacher_disagreement_score":0.013761814,"about_ca_system_score_codex":0.0019683656,"about_ca_system_score_gemma":0.001674032,"threshold_uncertainty_score":0.07278031},"labels":[],"label_agreement":null},{"id":"W1993989189","doi":"10.1089/omi.2006.10.289","title":"Carbohydrate Microarrays: Survey of Fabrication Techniques","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atlantic Cancer Research Institute","funders":"Atlantic Canada Opportunities Agency","keywords":"Glycome; Glycan; DECIPHER; DNA microarray; Computational biology; Glycomics; Genome; Biology; Computer science; Gene; Bioinformatics; Biochemistry; Glycoprotein; Gene expression","score_opus":0.044257415412800385,"score_gpt":0.37210655527351705,"score_spread":0.3278491398607167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993989189","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012172767,0.98469037,0.006808428,0.0007450357,0.0004060989,0.000060034792,0.00009662295,0.0000782011,0.0058980333],"genre_scores_gemma":[0.0026678452,0.9835524,0.009148985,0.0005232608,0.00022503687,0.000080860984,0.00018909134,0.000021130452,0.003591423],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987312,0.00016301294,0.00008198963,0.00023828882,0.0007211834,0.000064326414],"domain_scores_gemma":[0.99911803,0.00034134963,0.000078016456,0.00004982436,0.00037303148,0.00003979898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023512868,0.0014246255,0.0015301687,0.0034700013,0.00047590444,0.0016717487,0.0019772265,0.0015443306,0.0024607212],"category_scores_gemma":[0.0015568134,0.000932736,0.0006293979,0.0040534255,0.0006910968,0.0024346323,0.0008229806,0.0022627036,0.005014372],"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":[0.000096009244,0.0001163881,0.00042872928,0.010032441,0.00006714694,0.00028083968,0.00010529158,0.0009968536,0.03951329,0.008659104,0.020770077,0.91893387],"study_design_scores_gemma":[0.000015879848,0.00019766476,0.0011407009,0.0014977616,0.00006004794,0.0022806362,0.000117399206,0.0005740538,0.027727919,0.0031839472,0.9631447,0.00005926793],"about_ca_topic_score_codex":0.0011602676,"about_ca_topic_score_gemma":0.0011415047,"teacher_disagreement_score":0.0034700013,"about_ca_system_score_codex":0.0017357045,"about_ca_system_score_gemma":0.0010726905,"threshold_uncertainty_score":0.012593448},"labels":[],"label_agreement":null},{"id":"W1996237457","doi":"10.1089/omi.2014.0029","title":"Bernard Lerer: Recipient of the 2014 Inaugural Werner Kalow Responsible Innovation Prize in Global Omics and Personalized Medicine (Pacific Rim Association for Clinical Pharmacogenetics)","year":2014,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Personalized medicine; Pharmacogenetics; Precision medicine; Sociology; History; Medicine; Bioinformatics; Biology; Genetics","score_opus":0.11148479628998831,"score_gpt":0.48257665518281617,"score_spread":0.37109185889282786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996237457","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033858088,0.057947636,0.004928766,0.5255318,0.35468137,0.00013613964,0.00038771515,0.00037681457,0.05262397],"genre_scores_gemma":[0.060800124,0.06467025,0.004814,0.11302208,0.16324721,0.00021949211,0.0006898144,0.0010222718,0.59151477],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955842,0.00091993046,0.00014989365,0.000791637,0.001955143,0.000599147],"domain_scores_gemma":[0.98898906,0.0008404241,0.00056917965,0.00017556138,0.002592467,0.0068333982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065037855,0.0009148372,0.0011754228,0.0012060875,0.0025394594,0.0078354,0.001082111,0.003806083,0.026354302],"category_scores_gemma":[0.013647565,0.00032044304,0.0004536726,0.0007371855,0.0025051653,0.003174357,0.0033968494,0.0064645465,0.023996273],"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":[0.000083561274,0.000027624785,0.0005927719,0.0001180028,0.0000090579,0.0001807409,0.0002140193,0.00006507585,0.00032751553,0.008896392,0.95706517,0.03242008],"study_design_scores_gemma":[0.000014781581,0.000048560345,0.00051377167,0.00010299568,0.000005039824,0.0004775281,0.00020142895,0.00007956263,0.00041112138,0.002411015,0.99570423,0.000029954248],"about_ca_topic_score_codex":0.0012872583,"about_ca_topic_score_gemma":0.001490348,"teacher_disagreement_score":0.026354302,"about_ca_system_score_codex":0.002030437,"about_ca_system_score_gemma":0.004265252,"threshold_uncertainty_score":0.08816397},"labels":[],"label_agreement":null},{"id":"W1996707390","doi":"10.1089/omi.2008.0031","title":"Genetic Variation in Taste and Its Influence on Food Selection","year":2008,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":297,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Selection (genetic algorithm); Variation (astronomy); Taste; Genetic variation; Biology; Evolutionary biology; Genetics; Gene; Computer science; Food science; Artificial intelligence","score_opus":0.029046134546638066,"score_gpt":0.32076881510753,"score_spread":0.29172268056089196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996707390","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002100008,0.99394774,0.00082582835,0.0004496271,0.00016724141,0.0000045923607,0.0000339061,0.000011168577,0.0024598702],"genre_scores_gemma":[0.009752642,0.9879573,0.0006051858,0.00016502304,0.00016477396,0.000009135267,0.00003670809,0.000002478454,0.0013067197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998349,0.000034542558,0.000013230324,0.00004360829,0.00006132997,0.000012368377],"domain_scores_gemma":[0.9997515,0.00014770168,0.000029981184,0.0000068071504,0.000050165865,0.000013819051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037755744,0.0004206951,0.001041627,0.00087026664,0.00013477681,0.0005287318,0.00047244126,0.00059733307,0.0025906542],"category_scores_gemma":[0.0006682092,0.000108176166,0.00036709858,0.0010303918,0.00032645135,0.00039974318,0.0002772033,0.0004503113,0.00093432807],"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":[0.00010340324,0.000053069183,0.0023416674,0.0061450503,0.00012874903,0.0004595338,0.00005523166,0.00044287124,0.0037561972,0.0019399299,0.0054822494,0.97909206],"study_design_scores_gemma":[0.000055561406,0.00061120227,0.07229645,0.008465174,0.00052911165,0.0111277485,0.00049409963,0.0010336806,0.0076167164,0.014375082,0.8832737,0.000121360266],"about_ca_topic_score_codex":0.0012567778,"about_ca_topic_score_gemma":0.0009671762,"teacher_disagreement_score":0.0025906542,"about_ca_system_score_codex":0.0003135949,"about_ca_system_score_gemma":0.00035831996,"threshold_uncertainty_score":0.008666635},"labels":[],"label_agreement":null},{"id":"W1996753475","doi":"10.1089/omi.2010.0135","title":"Diagnostic Testing for Vaccinomics: Is the Regulatory Approval Framework Adequate? A Comparison of Canada, the United States, and Europe","year":2011,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia Hospital; University of British Columbia; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Harmonization; Public health; Repurposing; Business; Political science; Risk analysis (engineering); Public relations; Public economics; Medicine; Engineering; Economics","score_opus":0.05598859910288631,"score_gpt":0.3089931433795946,"score_spread":0.25300454427670827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996753475","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13295108,0.10553219,0.011373315,0.42739657,0.0031474114,0.00041916245,0.003754823,0.0003554761,0.31506994],"genre_scores_gemma":[0.80562013,0.037125934,0.010347829,0.13038358,0.00069360127,0.0001654378,0.0018503063,0.00027921144,0.013534065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9405337,0.0068696095,0.0025160946,0.003298724,0.031358484,0.015423335],"domain_scores_gemma":[0.918374,0.01641938,0.005626862,0.0022430276,0.046448473,0.01088836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03180726,0.00056305464,0.0011548266,0.0070931166,0.0082845865,0.016870448,0.0036332326,0.005601581,0.0036004079],"category_scores_gemma":[0.058310337,0.00057804596,0.0017091321,0.0081833,0.008620392,0.0040045455,0.003319877,0.006921954,0.00034748955],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071914925,0.00018892378,0.084319584,0.0010659642,0.0003884528,0.001260413,0.005688448,0.0032930956,0.0024853311,0.5805619,0.0872699,0.23275885],"study_design_scores_gemma":[0.00021521394,0.00029482215,0.30849144,0.0046419674,0.00048323328,0.0008871372,0.011615569,0.0020880627,0.0022264926,0.028022623,0.6405634,0.00047002605],"about_ca_topic_score_codex":0.968031,"about_ca_topic_score_gemma":0.9724406,"teacher_disagreement_score":0.87865776,"about_ca_system_score_codex":0.121342264,"about_ca_system_score_gemma":0.27877063,"threshold_uncertainty_score":0.8804039},"labels":[],"label_agreement":null},{"id":"W1997140139","doi":"10.1089/omi.2009.0011","title":"Risk Assessment and Communication Tools for Genotype Associations with Multifactorial Phenotypes: The Concept of “Edge Effect” and Cultivating an Ethical Bridge between Omics Innovations and Society","year":2009,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Pharmacogenomics; Omics; Population; Biology; Personalized medicine; Genetic association; Precision medicine; Data science; Biotechnology; Bioinformatics; Genetics; Medicine; Single-nucleotide polymorphism; Genotype; Computer science; Environmental health","score_opus":0.022346758798509194,"score_gpt":0.3458051585407783,"score_spread":0.32345839974226914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997140139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01132279,0.0048904447,0.93468064,0.03438191,0.0008413336,0.00023467407,0.00044692564,0.00050040765,0.012700893],"genre_scores_gemma":[0.3553357,0.0045797867,0.6215877,0.010942336,0.0029436103,0.0010964748,0.00038318572,0.00037174433,0.0027595558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.88450617,0.0895066,0.004719633,0.00547849,0.014966806,0.0008223226],"domain_scores_gemma":[0.49433687,0.45251662,0.018914636,0.020853432,0.011665259,0.0017132933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11316233,0.002212462,0.002006731,0.009615254,0.0022184893,0.0090148635,0.0033195505,0.0052010966,0.006508526],"category_scores_gemma":[0.26531875,0.0012026993,0.0025726794,0.0037483468,0.017157216,0.01563832,0.010644298,0.008580243,0.0014303052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044889457,0.00016018655,0.021338835,0.001370546,0.0005851361,0.00071216736,0.0074447007,0.00627582,0.0012191907,0.6230172,0.010612269,0.326815],"study_design_scores_gemma":[0.00010649564,0.00034164186,0.0058891,0.0017761627,0.00035131146,0.0016030407,0.0019757324,0.017746227,0.0015648479,0.9160804,0.05229561,0.00026943203],"about_ca_topic_score_codex":0.0011082856,"about_ca_topic_score_gemma":0.0006922966,"teacher_disagreement_score":0.11316233,"about_ca_system_score_codex":0.0026536805,"about_ca_system_score_gemma":0.0034297232,"threshold_uncertainty_score":0.59846675},"labels":[],"label_agreement":null},{"id":"W1997225815","doi":"10.1089/omi.2006.10.66","title":"Genetic Variation and the Mitogen-Activated Protein Kinase (MAPK) Signaling Pathway","year":2006,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Melanoma and MAPK Pathways","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":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Biology; MAPK/ERK pathway; Protein kinase A; Epistasis; Genetics; dbSNP; Signal transduction; Gene; Phosphorylation; Single-nucleotide polymorphism; Allele; Kinase; Function (biology); Computational biology; Genotype","score_opus":0.006539377973044277,"score_gpt":0.21390299772629967,"score_spread":0.2073636197532554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997225815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748933,0.00039781912,0.0013182097,0.000058039597,0.0000071320073,0.0000040210234,0.00013867968,0.000012504105,0.00057417084],"genre_scores_gemma":[0.99904925,0.00016201404,0.0005674047,0.000013276087,0.0000050042136,0.0000026197397,0.00009732182,0.0000036578595,0.00009939097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996816,0.00013071907,0.000027572503,0.00007483655,0.000054419004,0.00003084336],"domain_scores_gemma":[0.99969697,0.00015941064,0.00009331653,0.00001479813,0.000012870394,0.00002265992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029244486,0.00023910709,0.00017763789,0.0005566444,0.00022179312,0.00022080584,0.00014580166,0.000260647,0.0011286149],"category_scores_gemma":[0.00087842444,0.00007823075,0.00022113367,0.00054285256,0.00020205523,0.0001324095,0.00018065357,0.00022898606,0.00010942257],"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":[0.0016623595,0.00016546258,0.6169257,0.00022754906,0.0011760019,0.004495072,0.00045785305,0.0067088027,0.30749336,0.003901277,0.00048425863,0.05630231],"study_design_scores_gemma":[0.00004484394,0.0002353148,0.96139383,0.000034812863,0.0003119529,0.006954679,0.00023791022,0.009798849,0.013846716,0.0042598145,0.002844038,0.00003728256],"about_ca_topic_score_codex":0.0006903477,"about_ca_topic_score_gemma":0.001290858,"teacher_disagreement_score":0.0011286149,"about_ca_system_score_codex":0.000133194,"about_ca_system_score_gemma":0.00014115956,"threshold_uncertainty_score":0.0037755966},"labels":[],"label_agreement":null},{"id":"W1997965740","doi":"10.1089/omi.2008.0047","title":"Knowledge and Attitudes of Canadian Consumers and Health Care Professionals Regarding Nutritional Genomics","year":2009,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nutrigenomics; Focus group; Dieticians; Health care; Public relations; Public health; Medicine; Business; Marketing; Nursing; Political science","score_opus":0.01948601996185127,"score_gpt":0.3278417544835344,"score_spread":0.30835573452168313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997965740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98853415,0.00036363045,0.0000713895,0.002839784,0.000022433964,0.000056251905,0.0001981138,0.000006540852,0.0079076765],"genre_scores_gemma":[0.99480975,0.00062002114,0.00019563916,0.0014111742,0.0000145195945,0.000033806267,0.00013644354,0.000004534267,0.0027741436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968047,0.00046164758,0.00010978819,0.00019524155,0.001575367,0.00085331936],"domain_scores_gemma":[0.9897855,0.0032505088,0.0012369101,0.00018566316,0.0034010345,0.0021404456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005015262,0.00025771925,0.00041671668,0.0019076739,0.0060214037,0.0032902856,0.0006333656,0.001474395,0.0048777848],"category_scores_gemma":[0.01396291,0.00035981293,0.0005500873,0.0019841027,0.0026999037,0.00084569905,0.0013959369,0.0015987494,0.00031576757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038528864,0.000373695,0.49931228,0.0002508243,0.00004898732,0.00067147485,0.45893332,0.00009788521,0.00090126524,0.0010187522,0.005277229,0.03272898],"study_design_scores_gemma":[0.000053614298,0.00028452717,0.5070972,0.00031059966,0.00006579946,0.0003529952,0.47669476,0.00043450078,0.0002563238,0.0002899047,0.014056595,0.00010306572],"about_ca_topic_score_codex":0.9504795,"about_ca_topic_score_gemma":0.9432036,"teacher_disagreement_score":0.049520493,"about_ca_system_score_codex":0.022014467,"about_ca_system_score_gemma":0.021239357,"threshold_uncertainty_score":0.15972692},"labels":[],"label_agreement":null},{"id":"W2003976654","doi":"10.1089/omi.2006.10.344","title":"Microarray Analysis of Alternative Splicing","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atlantic Cancer Research Institute","funders":"","keywords":"Alternative splicing; RNA splicing; DNA microarray; Computational biology; Biology; Exon; Proteomics; Microarray analysis techniques; Genetics; Precursor mRNA; splice; Gene; RNA; Gene expression","score_opus":0.027747581842142304,"score_gpt":0.3657918816092714,"score_spread":0.3380442997671291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003976654","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02784923,0.3690118,0.5226521,0.0031042113,0.004310155,0.0010260856,0.011113244,0.0056475573,0.055285666],"genre_scores_gemma":[0.09160038,0.29423642,0.5406484,0.00277863,0.0011850637,0.002794058,0.016739817,0.0005043471,0.04951283],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99690646,0.00064069586,0.00015553461,0.0008269094,0.0013188638,0.0001514538],"domain_scores_gemma":[0.9992167,0.00023275013,0.00008247535,0.00009720974,0.0003327042,0.000038232585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021226883,0.001304849,0.002322107,0.0032959136,0.00048307373,0.0014965044,0.0017037271,0.0015218467,0.00397902],"category_scores_gemma":[0.0013987095,0.0005232642,0.0010382526,0.0038915551,0.0005434246,0.0009946764,0.0007295551,0.0017280887,0.0067501892],"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":[0.00024198649,0.000108224405,0.0012098552,0.0043015904,0.00026003137,0.0003517092,0.000121042816,0.0011372966,0.6434861,0.006915553,0.020106087,0.3217605],"study_design_scores_gemma":[0.000040361927,0.00036102152,0.009986076,0.0004414832,0.00033587532,0.003072103,0.00015481564,0.0062042326,0.49743804,0.0048680147,0.47693583,0.00016212475],"about_ca_topic_score_codex":0.00045475096,"about_ca_topic_score_gemma":0.00074831,"teacher_disagreement_score":0.00397902,"about_ca_system_score_codex":0.0009142491,"about_ca_system_score_gemma":0.0004958799,"threshold_uncertainty_score":0.013311148},"labels":[],"label_agreement":null},{"id":"W2004683819","doi":"10.1089/omi.2012.0119","title":"“OMICS” of Human Sperm: Profiling Protein Phosphatases","year":2013,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Sperm and Testicular Function","field":"Medicine","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":"Kinexus Bioinformatics Corporation (Canada); University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia; Universidade de Aveiro","keywords":"Profiling (computer programming); Biology; Computational biology; Phosphatase; Sperm; Data science; Bioinformatics; Genetics; Computer science; Phosphorylation","score_opus":0.0216896835030487,"score_gpt":0.29551917988255333,"score_spread":0.2738294963795046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004683819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60030866,0.23716381,0.035945594,0.006623697,0.0008111565,0.0002792955,0.10210124,0.0016674689,0.015099087],"genre_scores_gemma":[0.8260689,0.06662201,0.042156674,0.0038423478,0.0010314113,0.00026166302,0.05535544,0.000250863,0.0044106646],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946576,0.00007893615,0.000052609197,0.00019041247,0.00015243955,0.000059898855],"domain_scores_gemma":[0.9995448,0.00013244389,0.00012265284,0.00005489362,0.00008819184,0.00005703147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760616,0.0004904832,0.0009632398,0.0024038935,0.00030098343,0.0010556716,0.00032512913,0.00065380556,0.0022651895],"category_scores_gemma":[0.0011139903,0.00016429462,0.0007916386,0.0031630746,0.00019985944,0.00053910824,0.0008000386,0.0005569243,0.00074245053],"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":[0.0021356917,0.00018058333,0.31938365,0.008066925,0.0025461195,0.003440874,0.00071391644,0.003068615,0.30013034,0.0050390023,0.0315574,0.32373694],"study_design_scores_gemma":[0.00011749979,0.0006497516,0.6191451,0.0010520547,0.0028578017,0.010317375,0.0011076696,0.010197983,0.060298566,0.012862482,0.28125376,0.00014008419],"about_ca_topic_score_codex":0.00079397834,"about_ca_topic_score_gemma":0.0013367038,"teacher_disagreement_score":0.0024038935,"about_ca_system_score_codex":0.00025524336,"about_ca_system_score_gemma":0.00050227495,"threshold_uncertainty_score":0.007577777},"labels":[],"label_agreement":null},{"id":"W2005132411","doi":"10.1089/omi.2006.10.474","title":"Microarray Studies of Gene Expression in Fish","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Zebrafish; DNA microarray; Biology; Microarray; Catfish; Computational biology; Model organism; Fish <Actinopterygii>; Gene expression; Transcriptome; Gene chip analysis; Amplicon; Genetics; Gene; Bioinformatics; Fishery; Polymerase chain reaction","score_opus":0.040615762240056544,"score_gpt":0.35703905226255156,"score_spread":0.31642329002249503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005132411","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006820143,0.8810487,0.080785885,0.0022748753,0.0016691141,0.0002820837,0.0023745596,0.00079670217,0.023947984],"genre_scores_gemma":[0.019204933,0.8781157,0.08147886,0.001427735,0.00074380706,0.000549414,0.0023734018,0.00009621035,0.01600987],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896634,0.00014003,0.000054874406,0.0003226443,0.00047151698,0.000044650118],"domain_scores_gemma":[0.99952567,0.0001970298,0.000045482113,0.000050867933,0.00015657001,0.0000244098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017010178,0.0008280677,0.0018456788,0.0023090348,0.00036482964,0.001177694,0.0012198136,0.0009768612,0.0026141827],"category_scores_gemma":[0.001078715,0.00042638893,0.0005952124,0.003027966,0.00074376987,0.0012739968,0.00051616994,0.0014204625,0.0045300913],"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":[0.00013101989,0.000052779338,0.0012059031,0.0074971127,0.00012630197,0.00039440976,0.00020450843,0.0010193,0.43738264,0.0073131267,0.017463539,0.52720946],"study_design_scores_gemma":[0.000025197538,0.00019683757,0.007502979,0.0008807719,0.00012315031,0.0018424281,0.00022690311,0.0008641811,0.14935063,0.0066124983,0.8322762,0.00009825106],"about_ca_topic_score_codex":0.00080540753,"about_ca_topic_score_gemma":0.0012695688,"teacher_disagreement_score":0.0026141827,"about_ca_system_score_codex":0.0009456271,"about_ca_system_score_gemma":0.0005008894,"threshold_uncertainty_score":0.008995891},"labels":[],"label_agreement":null},{"id":"W2005197587","doi":"10.1089/omi.2006.10.444","title":"Genome Wide Gene Expression Studies in Mood Disorders","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"McGill University","keywords":"Bipolar disorder; Mood disorders; Schizophrenia (object-oriented programming); Microarray; Mood; Depression (economics); Phenotype; Confounding; Gene; Biology; Bioinformatics; Psychiatry; Genetics; Psychology; Medicine; Gene expression; Anxiety; Pathology","score_opus":0.04392931819629846,"score_gpt":0.3693045183020447,"score_spread":0.3253752001057462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005197587","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046612966,0.99598134,0.00084315316,0.0005974904,0.00021643909,0.000014485974,0.000094743715,0.00003048657,0.0017557108],"genre_scores_gemma":[0.0020766915,0.994722,0.0014064611,0.0004842532,0.0002037431,0.000022346421,0.00017328547,0.0000036603383,0.00090756867],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997342,0.00005787076,0.000024761368,0.00007699162,0.00008530896,0.000020802721],"domain_scores_gemma":[0.9996884,0.00015872391,0.00003579483,0.000014824785,0.00007992465,0.000022368069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010281476,0.0006909816,0.0016767683,0.00219186,0.0002237709,0.0007294821,0.00076288794,0.0009820191,0.0015689722],"category_scores_gemma":[0.0007247083,0.00025706354,0.0005283859,0.002934582,0.00049223535,0.0005172764,0.00041901134,0.0010419749,0.0023286296],"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":[0.00010866417,0.000042879357,0.0013372635,0.005699996,0.00016455533,0.0003848154,0.000060657527,0.00032278572,0.007555442,0.0027577905,0.023706444,0.9578586],"study_design_scores_gemma":[0.00006151914,0.0001684081,0.015314238,0.002843442,0.00029971355,0.0046713497,0.00013015619,0.00025363063,0.004052486,0.0070268195,0.96512324,0.00005492061],"about_ca_topic_score_codex":0.0010643511,"about_ca_topic_score_gemma":0.0019306946,"teacher_disagreement_score":0.00219186,"about_ca_system_score_codex":0.00058313005,"about_ca_system_score_gemma":0.0006299537,"threshold_uncertainty_score":0.0054374337},"labels":[],"label_agreement":null},{"id":"W2009062850","doi":"10.1089/omi.2009.0012","title":"Biomarkers for Prediction of Bovine Respiratory Disease Outcome","year":2009,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministry of Agriculture - Saskatchewan; University of Saskatchewan","keywords":"Bovine respiratory disease; Haptoglobin; Biology; Metabolomics; Disease; Biomarker; Immunology; Internal medicine; Medicine; Bioinformatics; Biochemistry","score_opus":0.036903609262441586,"score_gpt":0.33956383437742227,"score_spread":0.3026602251149807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009062850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96293795,0.011700124,0.0162249,0.0004933959,0.00015683837,0.00025181676,0.005332166,0.00023895594,0.0026638997],"genre_scores_gemma":[0.9729523,0.0023013463,0.020294601,0.00017832634,0.000103618426,0.00015654408,0.0029577839,0.00001003846,0.0010453888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991435,0.00025940555,0.00008914771,0.00019936619,0.00023822015,0.00007038296],"domain_scores_gemma":[0.99852765,0.00038777952,0.00062220654,0.00007035897,0.00028359453,0.00010841642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015435838,0.00073688553,0.0008461516,0.0020950602,0.00025262134,0.0012052257,0.00036007303,0.00077791105,0.0009251706],"category_scores_gemma":[0.001724757,0.00018308076,0.0003834182,0.0016547517,0.00019776176,0.0003918658,0.00037659748,0.0007186723,0.00033528046],"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":[0.0014459257,0.0005700141,0.77049,0.00043801722,0.00045886936,0.00016763674,0.00010922134,0.0025796625,0.12535346,0.00026010518,0.0012225434,0.09690462],"study_design_scores_gemma":[0.00005192161,0.0025477295,0.922325,0.00016713429,0.00042503767,0.00061417936,0.00029641835,0.023733271,0.043688975,0.0012165977,0.004875947,0.00005776145],"about_ca_topic_score_codex":0.00092967495,"about_ca_topic_score_gemma":0.0012239558,"teacher_disagreement_score":0.0020950602,"about_ca_system_score_codex":0.000435746,"about_ca_system_score_gemma":0.00026350876,"threshold_uncertainty_score":0.008163333},"labels":[],"label_agreement":null},{"id":"W2011095007","doi":"10.1089/omi.2009.0096","title":"Preliminary Exploration of Time Course DNA Microarray Data with Correlation Maps","year":2010,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Gene expression and cancer classification","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":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Visualization; Correlation; Computer science; Course (navigation); Data visualization; Data mining; Microarray analysis techniques; DNA microarray; Biology; Gene; Gene expression; Mathematics; Genetics; Engineering","score_opus":0.01829282098281148,"score_gpt":0.28686774545046134,"score_spread":0.26857492446764986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011095007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07682695,0.0004170131,0.9107688,0.00037129264,0.00006457688,0.00035941027,0.004555813,0.0036896279,0.002946564],"genre_scores_gemma":[0.3344801,0.0008931061,0.65020394,0.0001394734,0.00006728791,0.001665252,0.008278943,0.0008533139,0.0034185653],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985782,0.00039119797,0.000090885325,0.0002631309,0.00050957035,0.00016701581],"domain_scores_gemma":[0.98570025,0.010872315,0.0005664782,0.0010926888,0.0016193886,0.00014885713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037040135,0.0010596658,0.0007961011,0.0031282178,0.000668964,0.0017001955,0.00088649814,0.0006005796,0.0071095605],"category_scores_gemma":[0.016496088,0.00049322896,0.0012239302,0.005078213,0.00058905047,0.0013420206,0.0008271986,0.0018541638,0.0014965942],"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":[0.0023836861,0.0009346599,0.026788922,0.00208522,0.00034203162,0.002665506,0.002759613,0.07371945,0.38536644,0.058602042,0.009909821,0.43444264],"study_design_scores_gemma":[0.000101656544,0.0013842407,0.080114774,0.00025374794,0.00023651255,0.002065214,0.0016790609,0.51933277,0.24491082,0.074880354,0.07460113,0.00043973105],"about_ca_topic_score_codex":0.0024938625,"about_ca_topic_score_gemma":0.002689901,"teacher_disagreement_score":0.0071095605,"about_ca_system_score_codex":0.0007433082,"about_ca_system_score_gemma":0.0013237094,"threshold_uncertainty_score":0.023783803},"labels":[],"label_agreement":null},{"id":"W2026711456","doi":"10.1089/omi.2010.0073","title":"Validation of the Use of Peripheral Blood Mononuclear Cells as Surrogate Model for Skeletal Muscle Tissue in Nutrigenomic Studies","year":2010,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Genomics; University of Guelph; McGill University and Génome Québec Innovation Centre; Université Laval","funders":"Canadian Institutes of Health Research; Health Canada; Canada Research Chairs; Advanced Foods and Materials Network; University of Guelph; Pfizer","keywords":"Peripheral blood mononuclear cell; Transcriptome; Gene expression; Biology; Polyunsaturated fatty acid; Gene; Immunology; Medicine; Bioinformatics; Internal medicine; Fatty acid; In vitro; Genetics; Biochemistry","score_opus":0.02556162374302217,"score_gpt":0.29625777560630623,"score_spread":0.27069615186328405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026711456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80189973,0.0061683874,0.17284095,0.0008242882,0.0006127518,0.0018605655,0.008516872,0.0002802187,0.0069963075],"genre_scores_gemma":[0.8507138,0.0027209183,0.12718932,0.0014796093,0.00026083848,0.0056939446,0.006840212,0.00017490987,0.0049264156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9951746,0.0027792347,0.00032287868,0.00075942266,0.0007768719,0.00018701154],"domain_scores_gemma":[0.99850523,0.000596391,0.00014658693,0.00031195267,0.0003775778,0.00006222961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048962734,0.0005631397,0.00073706044,0.0005175871,0.00046452243,0.0012664739,0.00043116865,0.000705041,0.0016049998],"category_scores_gemma":[0.0034424576,0.0002675448,0.00035894447,0.00053634716,0.00057930243,0.00027277184,0.00062421977,0.00064351934,0.0009525815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016475559,0.00019293814,0.015986748,0.00039952976,0.00011281814,0.00012162482,0.00030395752,0.00050209486,0.9685724,0.00039166823,0.0004529351,0.01131579],"study_design_scores_gemma":[0.00028171297,0.005198375,0.12636802,0.00031132717,0.00055878604,0.00092199165,0.00086006266,0.005486247,0.82674015,0.0012593195,0.03194579,0.00006828939],"about_ca_topic_score_codex":0.0009325564,"about_ca_topic_score_gemma":0.001534641,"teacher_disagreement_score":0.0048962734,"about_ca_system_score_codex":0.00023568889,"about_ca_system_score_gemma":0.00047684007,"threshold_uncertainty_score":0.025894225},"labels":[],"label_agreement":null},{"id":"W2029174376","doi":"10.1089/omi.2008.0048","title":"Nutrigenomics Patents and Commercialization: Old Wine in a New Bottle?","year":2009,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics","funders":"Minnesota Department of Health","keywords":"Commercialization; Nutrigenomics; Context (archaeology); Business; Biotechnology; Engineering ethics; Marketing; Biology; Gene; Engineering; Genetics","score_opus":0.03074544993415515,"score_gpt":0.3321915397536532,"score_spread":0.30144608981949805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029174376","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082888606,0.95303375,0.0007383516,0.026243016,0.0016550646,0.000008070841,0.000022887052,0.00001842381,0.017451568],"genre_scores_gemma":[0.012250123,0.96590626,0.0010621067,0.008255287,0.0019980094,0.000019450463,0.00003968829,0.000016181399,0.010452882],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810696,0.00051535683,0.00012780011,0.00027271855,0.00085621816,0.00012090875],"domain_scores_gemma":[0.99529356,0.0032040477,0.0004810421,0.0001593991,0.00068454555,0.000177394],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004574396,0.0005019531,0.0011744765,0.0023214524,0.0010770101,0.0057718316,0.0013425114,0.0059676077,0.009206499],"category_scores_gemma":[0.008522481,0.0002838065,0.0005426828,0.0032637147,0.0027607423,0.011531737,0.0015339939,0.003410963,0.002601555],"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":[0.00006610419,0.00005430669,0.0003343187,0.0032031923,0.000030396111,0.0006399176,0.0004937947,0.00022364444,0.000888081,0.12366659,0.066063926,0.80433583],"study_design_scores_gemma":[0.000011063234,0.000044760232,0.00046886626,0.0019166613,0.000017180806,0.00082280865,0.00044580243,0.00007969974,0.0004415347,0.023266174,0.97246474,0.000020678366],"about_ca_topic_score_codex":0.0018553203,"about_ca_topic_score_gemma":0.0025389993,"teacher_disagreement_score":0.998923,"about_ca_system_score_codex":0.002168677,"about_ca_system_score_gemma":0.0025415376,"threshold_uncertainty_score":0.030798852},"labels":[],"label_agreement":null},{"id":"W2033675250","doi":"10.1089/omi.2011.0121","title":"Molecular Pathways and Crosstalk Characterizing the Cardiorenal Syndrome","year":2012,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"Fresenius Medical Care North America","keywords":"Cardiorenal syndrome; Dyslipidemia; Crosstalk; Bioinformatics; Inflammation; Context (archaeology); Kidney disease; Diabetic nephropathy; Biology; Kidney; Medicine; Diabetes mellitus; Internal medicine; Endocrinology","score_opus":0.013816313618253598,"score_gpt":0.2694450790105249,"score_spread":0.2556287653922713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033675250","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563266,0.021183498,0.015010145,0.0010490053,0.000057734807,0.000050320516,0.0025298789,0.0001760991,0.003616746],"genre_scores_gemma":[0.97470415,0.012462059,0.009616259,0.00035469374,0.000075891054,0.000059829123,0.0016199877,0.0000211714,0.0010859246],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997843,0.0000454389,0.000023453378,0.00006909298,0.00004930347,0.000028372013],"domain_scores_gemma":[0.99981815,0.00003929648,0.00007615635,0.000013747452,0.000020027448,0.00003267631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021317496,0.00059162686,0.000453103,0.0016774439,0.00026601637,0.0007025345,0.00018473348,0.00026081284,0.0015563286],"category_scores_gemma":[0.000275043,0.00016204751,0.00051973,0.0010483239,0.0003145747,0.00044429273,0.0005693994,0.0005390332,0.00017761248],"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":[0.0014647519,0.00015975337,0.08313242,0.0011540663,0.0009687339,0.0054757195,0.00050394295,0.0017780092,0.81342566,0.006674778,0.0008959828,0.08436619],"study_design_scores_gemma":[0.000104381455,0.00044952278,0.8173766,0.00026961992,0.0011880287,0.016962066,0.0010806685,0.0065996377,0.110738054,0.028820287,0.016309207,0.00010188988],"about_ca_topic_score_codex":0.00038477153,"about_ca_topic_score_gemma":0.00044805455,"teacher_disagreement_score":0.0016774439,"about_ca_system_score_codex":0.00025342926,"about_ca_system_score_gemma":0.00034260607,"threshold_uncertainty_score":0.0052064657},"labels":[],"label_agreement":null},{"id":"W2034075323","doi":"10.1089/omi.2006.10.209","title":"Data Standards for Flow Cytometry","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terry Fox Research Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Michael Smith Health Research BC","keywords":"Computer science; Software; Data science; Scope (computer science); Software engineering; Dissemination; Data mining; Systems engineering; Engineering","score_opus":0.07404781375509646,"score_gpt":0.3920363041558689,"score_spread":0.31798849040077243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034075323","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010344186,0.08955928,0.7150277,0.018256389,0.015596395,0.0051186997,0.025340261,0.020106124,0.109960794],"genre_scores_gemma":[0.0062327194,0.079784036,0.771769,0.011955476,0.0036223964,0.016632484,0.061657704,0.005954603,0.042391535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97060925,0.0071343007,0.006726608,0.0025636815,0.012134964,0.0008311264],"domain_scores_gemma":[0.9517722,0.013679727,0.0024160366,0.010354934,0.020516785,0.0012604122],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03070327,0.0028096524,0.0033234495,0.014256547,0.0026631802,0.007823218,0.012156111,0.0075057666,0.034566768],"category_scores_gemma":[0.05230578,0.0017480031,0.0024878772,0.013301164,0.004494664,0.007376048,0.0052715535,0.010862508,0.05578304],"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":[0.00017892776,0.00013940956,0.0004679662,0.0077695814,0.00007622516,0.00039610674,0.0005221075,0.0014409082,0.007835203,0.17787969,0.3932392,0.41005462],"study_design_scores_gemma":[0.000019773253,0.000025775242,0.0002699959,0.0012545981,0.000012777582,0.00033218565,0.00006878171,0.00034340302,0.0020096228,0.023252567,0.97237664,0.000033868706],"about_ca_topic_score_codex":0.00355967,"about_ca_topic_score_gemma":0.0020113161,"teacher_disagreement_score":0.96929675,"about_ca_system_score_codex":0.005889787,"about_ca_system_score_gemma":0.009891715,"threshold_uncertainty_score":0.1623764},"labels":[],"label_agreement":null},{"id":"W2035037267","doi":"10.1089/omi.2006.10.507","title":"Clustering Methods for Microarray Gene Expression Data","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atlantic Cancer Research Institute","funders":"","keywords":"Cluster analysis; Microarray analysis techniques; Expression (computer science); Microarray databases; Genomics; Gene chip analysis; Computational biology; Gene expression profiling; Gene; Gene expression; Data mining; Microarray; Computer science; DNA microarray; Biology; Bioinformatics; Genetics; Genome; Artificial intelligence","score_opus":0.10669677562684696,"score_gpt":0.4588524888198542,"score_spread":0.3521557131930072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035037267","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00063777243,0.016163412,0.9772634,0.0005131191,0.00037929777,0.0002353793,0.00082505285,0.0016447041,0.0023378346],"genre_scores_gemma":[0.012489816,0.024329329,0.9542171,0.00042416857,0.00055587234,0.0010263642,0.0035418228,0.00046034547,0.0029552467],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99440706,0.0014554773,0.00044576044,0.0011727384,0.0023852135,0.00013378426],"domain_scores_gemma":[0.99676347,0.0012974043,0.0002541945,0.00056953676,0.0010522956,0.00006315513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005007406,0.0021000819,0.0031459897,0.0057698013,0.0008589137,0.0021951494,0.0036299748,0.0015531833,0.0036422438],"category_scores_gemma":[0.006977774,0.0009210417,0.0021171002,0.010923424,0.0013348483,0.0017132163,0.0013878392,0.0026205496,0.0062148212],"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":[0.00013182775,0.00008209717,0.000962805,0.0036327844,0.0006106162,0.0001710471,0.00029525073,0.033575263,0.012446084,0.043551493,0.03462544,0.8699153],"study_design_scores_gemma":[0.000110729234,0.00019176776,0.007032022,0.0011276676,0.0003625181,0.0018503795,0.0003542018,0.22182214,0.03386665,0.22988608,0.50296235,0.00043339393],"about_ca_topic_score_codex":0.002249772,"about_ca_topic_score_gemma":0.0018661612,"teacher_disagreement_score":0.0057698013,"about_ca_system_score_codex":0.0016062594,"about_ca_system_score_gemma":0.0012796115,"threshold_uncertainty_score":0.026481986},"labels":[],"label_agreement":null},{"id":"W2036943540","doi":"10.1089/omi.2007.4321","title":"Gene Suppression Technologies in High-Throughput Analysis: Front- and Back-side Applications","year":2007,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"RNA and protein synthesis mechanisms","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":"Atlantic Cancer Research Institute; Université de Moncton","funders":"Fondation pour la Recherche Médicale; New Brunswick Innovation Foundation","keywords":"Computational biology; Biology; Gene; DNA microarray; Gene expression; Gene knockout; Gene expression profiling; RNA; Function (biology); RNA interference; Microarray analysis techniques; Genetics","score_opus":0.008495961468044655,"score_gpt":0.2677386095839189,"score_spread":0.2592426481158742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036943540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00825349,0.042295307,0.93031484,0.0022706816,0.0008278561,0.00060468673,0.0018975124,0.0058444655,0.007691165],"genre_scores_gemma":[0.0490134,0.05463694,0.879194,0.0013241841,0.00074288005,0.002453203,0.0029625574,0.0012380164,0.008434894],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99412763,0.0018071277,0.00024381907,0.00076007895,0.0028793232,0.00018210147],"domain_scores_gemma":[0.99448156,0.0034361035,0.0003118322,0.0007089671,0.00086062646,0.00020093253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007150791,0.0020010418,0.0031447548,0.00333413,0.00080801506,0.0035206338,0.0022104166,0.0020832305,0.009347139],"category_scores_gemma":[0.005376542,0.0018966891,0.0016647958,0.004628846,0.0010640728,0.0024093702,0.0018385979,0.0035336826,0.0106197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009775892,0.000481601,0.0031172882,0.003406693,0.000440101,0.0004351909,0.0002989891,0.0045414735,0.6039675,0.022414407,0.020523299,0.33939588],"study_design_scores_gemma":[0.00023673875,0.0011443283,0.007086987,0.0005253942,0.0005825603,0.0025200373,0.00023437035,0.049481183,0.705777,0.030372199,0.20163673,0.00040244625],"about_ca_topic_score_codex":0.0005604399,"about_ca_topic_score_gemma":0.0008387264,"teacher_disagreement_score":0.009347139,"about_ca_system_score_codex":0.001183229,"about_ca_system_score_gemma":0.00068771385,"threshold_uncertainty_score":0.03781742},"labels":[],"label_agreement":null},{"id":"W2038275670","doi":"10.1089/omi.2009.0118","title":"Analysis of Genome-Wide Coexpression and Coevolution of <i>Aspergillus oryzae</i> and <i>Aspergillus niger</i>","year":2010,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondation Chalmers; Consejo Nacional de Ciencia y Tecnología","keywords":"Biology; Gene; Genome; Peroxisome; Aspergillus niger; Aspergillus oryzae; Genetics; Biogenesis; Aspergillus; Transcription factor; Computational biology; Biochemistry; Enzyme","score_opus":0.006771982927544528,"score_gpt":0.2655344575739594,"score_spread":0.25876247464641483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038275670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820864,0.00016466451,0.00071974134,0.000013445686,0.000002039303,0.000005509889,0.0005932984,0.000016163993,0.0002766003],"genre_scores_gemma":[0.99635726,0.000118110744,0.0011208938,0.00002385931,0.000002585194,0.000010084686,0.0020550708,0.0000149523485,0.0002972026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998172,0.000022042634,0.000013359146,0.000087607696,0.000031101168,0.000028692783],"domain_scores_gemma":[0.9996555,0.000082926665,0.0001302905,0.000039019593,0.00003458679,0.00005773677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021232665,0.00017491171,0.00023451787,0.0005402008,0.00015123677,0.00029277347,0.00013138776,0.00015165196,0.0006935377],"category_scores_gemma":[0.0002896443,0.00011489031,0.00029332977,0.000533495,0.00012122047,0.00014313111,0.00027855896,0.00027481522,0.00015488532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016104836,0.000017758972,0.033043757,0.00003737931,0.00008217078,0.0000730486,0.00006290724,0.00012612737,0.9633134,0.0000706004,0.00003675788,0.0029751759],"study_design_scores_gemma":[0.0000091032625,0.00017667736,0.9190061,0.0000074764935,0.00011363327,0.00072423555,0.00016035301,0.0014356388,0.076985046,0.000094140625,0.0012769682,0.000010562809],"about_ca_topic_score_codex":0.0010143288,"about_ca_topic_score_gemma":0.0015007443,"teacher_disagreement_score":0.0010143288,"about_ca_system_score_codex":0.00019812846,"about_ca_system_score_gemma":0.00010478991,"threshold_uncertainty_score":0.0023201108},"labels":[],"label_agreement":null},{"id":"W2038550168","doi":"10.1089/omi.2007.0008","title":"Methods for Estimating and Mitigating Errors in Spotted, Dual-color DNA Microarrays","year":2007,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Context (archaeology); Variance (accounting); DNA microarray; Computer science; Replication (statistics); Data mining; Random effects model; Data science; Statistics; Biology; Mathematics; Meta-analysis; Genetics","score_opus":0.020417645876700672,"score_gpt":0.3724951480609796,"score_spread":0.3520775021842789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038550168","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031767564,0.00021214013,0.9990458,0.000029479786,0.000031117623,0.000033340715,0.0000280945,0.00023898414,0.00006335083],"genre_scores_gemma":[0.010161572,0.0008537331,0.9874314,0.00007532426,0.000066793255,0.0006743599,0.0001857528,0.0001784171,0.00037267714],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9853135,0.006998171,0.0009484485,0.0023510081,0.0040906915,0.00029818792],"domain_scores_gemma":[0.9687095,0.020545054,0.0032499558,0.0038102313,0.0035204922,0.00016476902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02145946,0.0031727506,0.0032522394,0.0038325326,0.0010280082,0.0024518752,0.005084114,0.00247367,0.0020283975],"category_scores_gemma":[0.05647898,0.0017643403,0.0024087615,0.004798914,0.0025269673,0.0027130805,0.0028875635,0.0042667734,0.0017791189],"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":[0.00040220135,0.00023521333,0.0037555776,0.0034242324,0.0009114829,0.000286456,0.00079267775,0.12975872,0.056859538,0.085639626,0.0045234365,0.7134108],"study_design_scores_gemma":[0.00012259607,0.000451674,0.004904601,0.00051600573,0.0004969211,0.00050939305,0.0002295618,0.72033286,0.08586736,0.15897046,0.027185107,0.00041356843],"about_ca_topic_score_codex":0.0017324473,"about_ca_topic_score_gemma":0.001996727,"teacher_disagreement_score":0.02145946,"about_ca_system_score_codex":0.0014999891,"about_ca_system_score_gemma":0.002518647,"threshold_uncertainty_score":0.11348981},"labels":[],"label_agreement":null},{"id":"W2042200343","doi":"10.1089/omi.2007.0023","title":"Comparative Approaches to the Investigation of Responses to Stress and Viral Infection in Cattle","year":2007,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Plant Biotechnology Institute; University of Saskatchewan","funders":"","keywords":"Haptoglobin; Biology; Stressor; Immunology; Disease; Apolipoprotein B; Internal medicine; Physiology; Virology; Medicine; Endocrinology; Cholesterol","score_opus":0.1365030120123219,"score_gpt":0.37882055322941044,"score_spread":0.24231754121708854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042200343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98758334,0.0020085305,0.008268455,0.000051731713,0.00001738922,0.00008373583,0.00079899357,0.000021050131,0.0011666514],"genre_scores_gemma":[0.9700726,0.002342213,0.024172513,0.00013182808,0.000023355835,0.00033113762,0.0015112493,0.000018098042,0.0013969468],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99960023,0.00012399715,0.000021835134,0.00011087422,0.00007883407,0.000064205684],"domain_scores_gemma":[0.999778,0.00005523994,0.00005909167,0.00001764255,0.000048316964,0.000041724423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052384456,0.00032602524,0.00042077253,0.0017555401,0.00054410973,0.0005756346,0.0002618523,0.00031905482,0.0008622445],"category_scores_gemma":[0.00047216172,0.00017328456,0.00031697948,0.0013947703,0.00040546843,0.0002215281,0.00048614718,0.0003762896,0.00012257087],"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":[0.00063101784,0.00009337889,0.013372383,0.00021035514,0.00007801376,0.00009835068,0.00033761188,0.00013674916,0.97285753,0.00021509807,0.000037341426,0.0119321635],"study_design_scores_gemma":[0.000027236947,0.0020647733,0.83243394,0.000041424857,0.00015130894,0.0007952905,0.0013222502,0.0015599168,0.15727495,0.00081849354,0.003471633,0.00003884097],"about_ca_topic_score_codex":0.0030200963,"about_ca_topic_score_gemma":0.004391634,"teacher_disagreement_score":0.0030200963,"about_ca_system_score_codex":0.0006022089,"about_ca_system_score_gemma":0.0003171893,"threshold_uncertainty_score":0.0060050488},"labels":[],"label_agreement":null},{"id":"W2042222088","doi":"10.1089/omi.2008.0066","title":"Socio-ethical Analysis of Equity in Access to Nutrigenomics Interventions for Obesity Prevention: A Focus Group Study","year":2008,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","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":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Nutrigenomics; Focus group; Psychological intervention; Context (archaeology); Medicine; Bioethics; Political science; Business; Nursing; Genetics; Biology","score_opus":0.07348375501759671,"score_gpt":0.4271836092878172,"score_spread":0.35369985427022044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042222088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425733,0.00008950307,0.001091691,0.0019391067,0.000022305778,0.0003276757,0.00001931231,0.0000029980188,0.002250107],"genre_scores_gemma":[0.99748504,0.00012931849,0.0006253311,0.00055462774,0.000018050741,0.0006217,0.000012792424,0.0000040371215,0.0005491265],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.94738626,0.045110963,0.00093237316,0.0011325451,0.002149941,0.0032878306],"domain_scores_gemma":[0.9103195,0.07526273,0.0045511606,0.0020763695,0.005229449,0.0025608654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0556576,0.00058415165,0.0007608221,0.0036069877,0.012468105,0.003219773,0.0016004256,0.0029195438,0.0033762835],"category_scores_gemma":[0.058972068,0.0006216238,0.0005046906,0.0015840809,0.01211772,0.0043758648,0.008591166,0.0027190633,0.00024759024],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005603759,0.00034625546,0.007570167,0.00007862777,0.000008178447,0.00028078983,0.9834849,0.000030411085,0.0003576997,0.0031611882,0.0002822638,0.004343464],"study_design_scores_gemma":[0.000024440831,0.0002168606,0.006270472,0.00008278776,0.000009060208,0.000104639665,0.9890471,0.00016111885,0.00025311124,0.0014467296,0.0023697386,0.000013893201],"about_ca_topic_score_codex":0.0049812156,"about_ca_topic_score_gemma":0.0038279279,"teacher_disagreement_score":0.0556576,"about_ca_system_score_codex":0.007709781,"about_ca_system_score_gemma":0.0060680388,"threshold_uncertainty_score":0.294349},"labels":[],"label_agreement":null},{"id":"W2043481344","doi":"10.1089/omi.2014.0088","title":"Special Issue “OMICS IN AFRICA”: Power to the People—Moving 21st Century Integrative Biology from Lab to Village to Innovation Ecosystems","year":2014,"lang":"en","type":"editorial","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Library science; Political science; Agency (philosophy); China; Power (physics); Geography; Social science; Sociology; Law","score_opus":0.00598592744693056,"score_gpt":0.25933654324094857,"score_spread":0.253350615794018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043481344","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001728048,0.002560739,0.00010895154,0.03525018,0.9614209,0.00001520382,0.000033903336,0.000043084987,0.0005497895],"genre_scores_gemma":[0.00016167508,0.0017575826,0.00009444815,0.017286466,0.977499,0.00002021967,0.000020115234,0.00003122701,0.0031292448],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99098736,0.0019745429,0.0012103487,0.0012273237,0.0038809539,0.00071955414],"domain_scores_gemma":[0.96231735,0.016919509,0.002665333,0.0010844265,0.011524229,0.0054890984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01555537,0.005579486,0.006272776,0.0057779807,0.0057742787,0.013313536,0.005135982,0.021169428,0.018262351],"category_scores_gemma":[0.040110633,0.0018519448,0.004659661,0.0024333803,0.0050332854,0.007107229,0.0037498074,0.03011105,0.009421828],"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":[0.000024673183,0.000014690686,0.00002925724,0.00015378385,0.00001791433,0.00007572354,0.000014206204,0.000019217876,0.000048615268,0.0002939197,0.9965148,0.0027931249],"study_design_scores_gemma":[0.0000841935,0.000029998195,0.00041462624,0.00070810935,0.00007896458,0.00026004305,0.00006266535,0.00024140842,0.00014271744,0.0016617625,0.99628013,0.000035460667],"about_ca_topic_score_codex":0.0026299874,"about_ca_topic_score_gemma":0.0076099155,"teacher_disagreement_score":0.021169428,"about_ca_system_score_codex":0.005082243,"about_ca_system_score_gemma":0.0059580714,"threshold_uncertainty_score":0.082265615},"labels":[],"label_agreement":null},{"id":"W2044689550","doi":"10.1089/omi.2012.0083","title":"Redundancy Control in Pathway Databases (ReCiPa): An Application for Improving Gene-Set Enrichment Analysis in Omics Studies and “Big Data” Biology","year":2013,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Minority Health and Health Disparities; Canadian Institutes of Health Research; National Institutes of Health; National Center for Research Resources; American Heart Association","keywords":"KEGG; Redundancy (engineering); Computational biology; Big data; Genomics; Biology; Identification (biology); Systems biology; Omics; Computer science; Bioinformatics; Data mining; Gene; Transcriptome; Genetics; Genome","score_opus":0.035336886581307694,"score_gpt":0.3179872066385088,"score_spread":0.28265032005720114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044689550","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0452464,0.0005338044,0.84879947,0.00025422862,0.000090468544,0.00041899146,0.0030541683,0.10083376,0.0007686534],"genre_scores_gemma":[0.09458818,0.00017367616,0.8980607,0.00014075983,0.00002520623,0.00051528524,0.0035492792,0.002485802,0.00046108276],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712473,0.0008123313,0.00038271287,0.0006613679,0.00087793794,0.00014090571],"domain_scores_gemma":[0.9931116,0.0034431643,0.0007223761,0.0013991772,0.0010020151,0.00032164354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008663912,0.0017683291,0.0011356225,0.004250819,0.0010696735,0.001991302,0.0019864975,0.00078522693,0.00239202],"category_scores_gemma":[0.014895598,0.00094445975,0.0021293103,0.002918281,0.00086566794,0.0018601348,0.0033138082,0.0017743761,0.0012021988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003788762,0.0010824354,0.028886681,0.00313056,0.0014706759,0.0012978305,0.0014770143,0.07267479,0.27753982,0.02530443,0.027313842,0.5560332],"study_design_scores_gemma":[0.00034251699,0.00036900488,0.009452238,0.0001220837,0.00024990938,0.0007366776,0.00017987515,0.79087776,0.15236688,0.018382197,0.026649904,0.000270931],"about_ca_topic_score_codex":0.0015866372,"about_ca_topic_score_gemma":0.0021372694,"teacher_disagreement_score":0.008663912,"about_ca_system_score_codex":0.0006876932,"about_ca_system_score_gemma":0.0017219146,"threshold_uncertainty_score":0.0458197},"labels":[],"label_agreement":null},{"id":"W20455752","doi":"10.1089/omi.2010.0022","title":"Tutela e cura della vita: valori laici per la democrazia","year":2011,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Educational and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.05440150848851422,"score_gpt":0.3536505933158215,"score_spread":0.2992490848273073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20455752","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017546074,0.095350556,0.0034631914,0.2761922,0.009718635,0.00007231021,0.00047503514,0.00035936612,0.5968226],"genre_scores_gemma":[0.4822295,0.03870135,0.00520597,0.03736248,0.013495012,0.0003043244,0.0004054191,0.00081658806,0.4214793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99383026,0.0030426155,0.00014461688,0.00096756144,0.0011533023,0.000861591],"domain_scores_gemma":[0.9969433,0.0014000813,0.00027451504,0.00043327827,0.00044623128,0.0005025436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004555225,0.0006964941,0.0006352694,0.002411947,0.0065609356,0.01173665,0.0006804295,0.003899452,0.02452642],"category_scores_gemma":[0.006609761,0.00036807294,0.0004972775,0.0022411528,0.007667148,0.0046976963,0.0052979533,0.0070940973,0.0072015296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007069951,0.000054725642,0.0018609575,0.00020611745,0.000019005702,0.00017075289,0.0072722747,0.00015545834,0.0004570264,0.74812585,0.17914751,0.062459562],"study_design_scores_gemma":[0.0000108464,0.00001633856,0.0013846006,0.00021087776,0.000004023308,0.00010039813,0.00077509374,0.00009492287,0.00014746905,0.018306553,0.97893393,0.000014899102],"about_ca_topic_score_codex":0.007672298,"about_ca_topic_score_gemma":0.007928158,"teacher_disagreement_score":0.02452642,"about_ca_system_score_codex":0.006369268,"about_ca_system_score_gemma":0.0044135293,"threshold_uncertainty_score":0.08204901},"labels":[],"label_agreement":null},{"id":"W2050451112","doi":"10.1089/omi.2011.0152","title":"Opportunities and Challenges for the Life Sciences Community","year":2012,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Big data; Alliance; Resource (disambiguation); Data science; Political science; Engineering ethics; Computer science; Engineering","score_opus":0.5156816781593903,"score_gpt":0.43443788813349077,"score_spread":0.08124379002589949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050451112","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016799783,0.012162774,0.0015713798,0.96658397,0.009458819,0.00004441312,0.0001437867,0.00008981696,0.008265181],"genre_scores_gemma":[0.07968103,0.06525381,0.024967568,0.743453,0.03748743,0.00080608204,0.0015156895,0.0003100089,0.046525326],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9678808,0.01292414,0.001415199,0.0026206314,0.0082287155,0.006930482],"domain_scores_gemma":[0.886363,0.026643204,0.002488562,0.0037270733,0.020261958,0.060516104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.069774196,0.0013748419,0.002070678,0.0045582224,0.01997198,0.033477705,0.005976802,0.03324009,0.029653493],"category_scores_gemma":[0.040832743,0.001038822,0.0028628744,0.004319273,0.013486542,0.037955407,0.036329992,0.03332116,0.011377923],"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":[0.0001756668,0.00050439924,0.0021892434,0.0010904764,0.000054642453,0.0011503785,0.007713096,0.000406969,0.0013395748,0.22054489,0.6457075,0.119123206],"study_design_scores_gemma":[0.000038047634,0.00006621516,0.00048011658,0.00063813035,0.000012277471,0.00029193744,0.012888356,0.0003334533,0.0001891789,0.12994081,0.8550619,0.000059490947],"about_ca_topic_score_codex":0.0034871772,"about_ca_topic_score_gemma":0.005247688,"teacher_disagreement_score":0.069774196,"about_ca_system_score_codex":0.0064039757,"about_ca_system_score_gemma":0.076392226,"threshold_uncertainty_score":0.36900562},"labels":[],"label_agreement":null},{"id":"W2051656066","doi":"10.1089/omi.2008.0080","title":"Modeling and Managing Experimental Data Using FuGE","year":2009,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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":"Hôpital Saint-Luc; Centre Hospitalier de l’Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Consistency (knowledge bases); Context (archaeology); Flexibility (engineering); Data science; Standardization; Computer science; Artificial intelligence; History; Archaeology; Mathematics","score_opus":0.029682452309226448,"score_gpt":0.31233347388651467,"score_spread":0.2826510215772882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051656066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015155604,0.00007999939,0.98937875,0.00027775977,0.000035879213,0.00026645287,0.0006096815,0.0071352986,0.0007006658],"genre_scores_gemma":[0.016248979,0.0002931585,0.9776674,0.00017081498,0.000036917943,0.0014982558,0.0023839362,0.0009910295,0.0007094034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9835707,0.0070603853,0.003253878,0.002535057,0.0030778141,0.0005021596],"domain_scores_gemma":[0.9187418,0.047673304,0.0040894984,0.02273489,0.0058354908,0.0009250193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055224758,0.0020434142,0.0023179806,0.0060841013,0.0018704828,0.009943951,0.007883864,0.0025195049,0.0039252182],"category_scores_gemma":[0.08136011,0.0026173487,0.005437086,0.005048278,0.002343062,0.00894762,0.0066686026,0.0050995816,0.0018464212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006520149,0.00031000283,0.012178391,0.0022821757,0.0011012488,0.0011013686,0.0054182033,0.3176849,0.011077711,0.36990315,0.016634846,0.26165602],"study_design_scores_gemma":[0.0001637377,0.00013536312,0.0015027937,0.00046643108,0.00033928533,0.00039927324,0.00032501854,0.4843749,0.015787967,0.334078,0.16218662,0.00024056237],"about_ca_topic_score_codex":0.0056987666,"about_ca_topic_score_gemma":0.00501032,"teacher_disagreement_score":0.055224758,"about_ca_system_score_codex":0.0035709029,"about_ca_system_score_gemma":0.0070695705,"threshold_uncertainty_score":0.29205996},"labels":[],"label_agreement":null},{"id":"W2063088650","doi":"10.1089/omi.2010.0139","title":"Publics and Vaccinomics: Beyond Public Understanding of Science","year":2011,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Genome Canada","keywords":"Commercialization; Context (archaeology); Public relations; Politics; Political science; Engineering ethics; Biology; Engineering","score_opus":0.1516325095408441,"score_gpt":0.3829860997234931,"score_spread":0.23135359018264903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063088650","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026913144,0.96269405,0.00072982284,0.031882074,0.00077246915,0.000006335645,0.000012557733,0.000009800635,0.0036236837],"genre_scores_gemma":[0.009690645,0.9783361,0.00070495857,0.008539913,0.0017378993,0.000020641162,0.000019797497,0.000007845672,0.00094218575],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959792,0.0021068433,0.00018802128,0.0003547243,0.0011481378,0.00022307732],"domain_scores_gemma":[0.9861476,0.011384908,0.00052862975,0.00054016453,0.0011096244,0.00028903992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010349986,0.00094040297,0.0019991382,0.0032648647,0.0011597328,0.004295662,0.0012787654,0.006085927,0.0029923737],"category_scores_gemma":[0.013517046,0.0003373541,0.0007925697,0.0028473511,0.009438371,0.011202196,0.0031569249,0.006605148,0.00097275886],"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":[0.000052704214,0.000082075065,0.0007817319,0.008674797,0.00017870052,0.00027318439,0.0016618592,0.0005987887,0.00054972444,0.26517338,0.039469153,0.682504],"study_design_scores_gemma":[0.000018377443,0.00006752053,0.0011715028,0.0096454695,0.000051814826,0.0004179341,0.0013022837,0.00016167932,0.0002977038,0.14755334,0.8392751,0.000037315767],"about_ca_topic_score_codex":0.002933978,"about_ca_topic_score_gemma":0.0025433756,"teacher_disagreement_score":0.010349986,"about_ca_system_score_codex":0.00520121,"about_ca_system_score_gemma":0.0065248045,"threshold_uncertainty_score":0.054736614},"labels":[],"label_agreement":null},{"id":"W2068768700","doi":"10.1089/omi.2006.10.199","title":"Development of FuGO: An Ontology for Functional Genomics Investigations","year":2006,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terry Fox Research Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; Natural Environment Research Council; National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; National Institutes of Health","keywords":"Ontology; Genomics; Functional genomics; Gene ontology; Data science; Computer science; Computational biology; Knowledge management; Biology; Genome; Genetics; Gene; Epistemology; Philosophy","score_opus":0.09581901281397573,"score_gpt":0.3718821284710488,"score_spread":0.2760631156570731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068768700","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034171317,0.09343299,0.8438473,0.007542367,0.0015340655,0.0012758194,0.0034911789,0.0062738643,0.039185274],"genre_scores_gemma":[0.010489822,0.095308445,0.86628574,0.0029660778,0.00037530437,0.0014169946,0.008739347,0.00068539125,0.013732809],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982034,0.00040002336,0.00025683883,0.00023827014,0.00079431024,0.00010724958],"domain_scores_gemma":[0.99766564,0.000891653,0.00026013167,0.00029383204,0.0007007136,0.00018803061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005599425,0.0012551293,0.001914675,0.0071027544,0.0011665028,0.0037589849,0.0033506418,0.0018676025,0.0026034156],"category_scores_gemma":[0.004258253,0.0007486523,0.0017051803,0.0060983393,0.0019703365,0.006735805,0.0023558617,0.004483261,0.0036300372],"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":[0.00010669902,0.0001776367,0.0009038134,0.004360949,0.00015113893,0.00074488885,0.0010840901,0.0026430471,0.012670019,0.19515266,0.04149297,0.7405121],"study_design_scores_gemma":[0.000016325428,0.00003370011,0.00079371216,0.0012041572,0.00005274584,0.0012444943,0.0002155745,0.0025856865,0.00280592,0.03308611,0.9578989,0.00006265157],"about_ca_topic_score_codex":0.0060053947,"about_ca_topic_score_gemma":0.0047794958,"teacher_disagreement_score":0.0071027544,"about_ca_system_score_codex":0.0037667663,"about_ca_system_score_gemma":0.005731222,"threshold_uncertainty_score":0.029612958},"labels":[],"label_agreement":null},{"id":"W2069206422","doi":"10.1089/153623103322637661","title":"Reduced Models of the Circadian Oscillators in <i>Neurospora crassa</i> and <i>Drosophila melanogaster</i> Illustrate Mechanistic Similarities","year":2003,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Fonds de Recherche du Québec - Santé; Defense Advanced Research Projects Agency; National Institutes of Health","keywords":"Neurospora crassa; Circadian rhythm; Biology; Neurospora; Entrainment (biomusicology); Negative feedback; Circadian clock; Drosophila melanogaster; Rhythm; Evolutionary biology; Genetics; Cell biology; Gene; Neuroscience; Physics","score_opus":0.02768138716614401,"score_gpt":0.24723685148859623,"score_spread":0.2195554643224522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069206422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7391475,0.00064027647,0.2204343,0.0011595923,0.00010036712,0.00008109294,0.0021610705,0.00051803776,0.035757765],"genre_scores_gemma":[0.96922505,0.00033149685,0.018547058,0.00009773354,0.000022354696,0.00020496,0.00069736986,0.000073446856,0.010800561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.000042165073,0.0000060988577,0.000020421008,0.000022945138,0.000023755883],"domain_scores_gemma":[0.99973816,0.000109031746,0.000049262893,0.000027422615,0.000046722816,0.000029435188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020237899,0.00046918643,0.0007497682,0.00037055154,0.00037667181,0.00065037474,0.0010031989,0.00084309524,0.0029760527],"category_scores_gemma":[0.00068111985,0.00029241532,0.0011019527,0.00028859157,0.00047675465,0.00043933568,0.0005219113,0.000769671,0.00032231878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030391207,0.000018284922,0.00036903514,0.00001914298,0.000020365573,0.000056498408,0.000041133462,0.9797549,0.0015009558,0.01707093,0.0002082362,0.0009100624],"study_design_scores_gemma":[0.000017869344,0.000012003194,0.00020022214,0.0000022774354,0.000009230609,0.000007975273,0.000010641839,0.99536234,0.00017304398,0.0035440656,0.00065423996,0.000006036546],"about_ca_topic_score_codex":0.035098147,"about_ca_topic_score_gemma":0.021512115,"teacher_disagreement_score":0.035098147,"about_ca_system_score_codex":0.0014322079,"about_ca_system_score_gemma":0.0009288361,"threshold_uncertainty_score":0.06978768},"labels":[],"label_agreement":null},{"id":"W2086856330","doi":"10.1089/omi.2013.0158","title":"Legal Agreements and the Governance of Research Commons: Lessons from Materials Sharing in Mouse Genomics","year":2014,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"RIKEN; National Institutes of Health; University of British Columbia; European Commission; INFRAFRONTIER; Medical Research Council; University of Manitoba; Regeneron Pharmaceuticals; University of California, Davis; Genome Canada; Hospital for Sick Children; Australian Government; University of Calgary; Wellcome Trust; Stem Cell Network; Canadian Institutes of Health Research; Wellcome","keywords":"Commons; Corporate governance; Enforcement; Business; Political science; Knowledge management; Computer science; Law; Finance","score_opus":0.1995240698419423,"score_gpt":0.44825891280427166,"score_spread":0.24873484296232937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086856330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37422353,0.0034303868,0.25669286,0.1275911,0.00036658967,0.0007293303,0.00021819842,0.0003073573,0.23644072],"genre_scores_gemma":[0.9758706,0.00066177174,0.015474336,0.0023994222,0.000080488615,0.0003047451,0.00006166853,0.000093877985,0.00505308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.91961956,0.058995496,0.0033125926,0.004225548,0.008712355,0.0051343148],"domain_scores_gemma":[0.7851713,0.1599898,0.020216646,0.020494495,0.0073611727,0.0067667137],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.089797094,0.00037250645,0.0006285438,0.0035293486,0.013934061,0.016972782,0.0030999342,0.006077597,0.004568579],"category_scores_gemma":[0.10825916,0.0008241487,0.0007974663,0.0047661597,0.05227568,0.027725343,0.016856771,0.0053983317,0.00038315222],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028775663,0.00006777832,0.007465398,0.000085634885,0.000016040754,0.00040305746,0.041674193,0.0013625697,0.0003038778,0.93067044,0.0018251579,0.01609708],"study_design_scores_gemma":[0.00004374575,0.00006965476,0.00839303,0.00056527986,0.000020779042,0.0003327495,0.06024563,0.0027245325,0.00085950893,0.8379468,0.08871411,0.00008418867],"about_ca_topic_score_codex":0.011864212,"about_ca_topic_score_gemma":0.010103436,"teacher_disagreement_score":0.9969001,"about_ca_system_score_codex":0.013137607,"about_ca_system_score_gemma":0.025469258,"threshold_uncertainty_score":0.4748981},"labels":[],"label_agreement":null},{"id":"W2091217345","doi":"10.1089/omi.2010.0137","title":"Incidental Findings in Data-Intensive Postgenomics Science and Legal Liability of Clinician–Researchers: Ready for Vaccinomics?","year":2011,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Ethics in Clinical Research","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":true,"ca_institutions":"McGill University","funders":"","keywords":"Liability; Legal liability; Psychological intervention; Jurisprudence; Framing (construction); Political science; Engineering ethics; Public relations; Law; Medicine; Psychology; Nursing; Engineering","score_opus":0.6589128245823239,"score_gpt":0.5964166523650237,"score_spread":0.062496172217300194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091217345","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04322022,0.0045428667,0.06093701,0.83242905,0.0021053483,0.00037424752,0.00009299975,0.00010642603,0.05619195],"genre_scores_gemma":[0.709921,0.0030815213,0.032381196,0.23729715,0.0024662989,0.00087799947,0.000067493434,0.00011111329,0.01379623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7893636,0.14026707,0.011411355,0.014004852,0.0363761,0.008576987],"domain_scores_gemma":[0.42554834,0.45779026,0.03596337,0.045596458,0.02594657,0.009155027],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.26586446,0.0005986431,0.0016641731,0.0021359276,0.013691822,0.012983659,0.004711873,0.030892538,0.004443812],"category_scores_gemma":[0.3923803,0.0012018129,0.0010928623,0.0018211241,0.07932402,0.015032487,0.013065614,0.02492472,0.00094453443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009043381,0.000084860774,0.010157997,0.00021397589,0.00006074769,0.0039687,0.031103011,0.00031132108,0.0006885818,0.9095434,0.01494306,0.028833874],"study_design_scores_gemma":[0.00012159527,0.00020704835,0.0046124007,0.0015228618,0.000111091875,0.0068818387,0.018601598,0.0012924798,0.0020368777,0.8158261,0.148584,0.00020211692],"about_ca_topic_score_codex":0.012094459,"about_ca_topic_score_gemma":0.015466066,"teacher_disagreement_score":0.96910745,"about_ca_system_score_codex":0.010368308,"about_ca_system_score_gemma":0.052467108,"threshold_uncertainty_score":0.9053198},"labels":[],"label_agreement":null},{"id":"W2095260914","doi":"10.1089/omi.2011.0087","title":"Steering Vaccinomics Innovations with Anticipatory Governance and Participatory Foresight","year":2011,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Food and Drug Administration; National Comprehensive Cancer Network","keywords":"Futures studies; Responsible Research and Innovation; Corporate governance; Upstream (networking); Citizen journalism; Deliberation; Knowledge management; Process management; Business; Management science; Political science; Economics; Public relations; Computer science; Management; Politics","score_opus":0.05629887697554159,"score_gpt":0.29944593617604914,"score_spread":0.24314705920050755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095260914","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04621542,0.0018144053,0.7982022,0.041675862,0.0006172314,0.0015737705,0.00014308115,0.00067523815,0.109082766],"genre_scores_gemma":[0.79478055,0.0014209086,0.18454526,0.0034680315,0.00027779822,0.001796919,0.0001864784,0.00025231007,0.0132716745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9463941,0.036838923,0.0020169616,0.00611039,0.005014657,0.003624921],"domain_scores_gemma":[0.93447214,0.039292075,0.007996908,0.010942154,0.004330742,0.0029660393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06888312,0.0012216467,0.00063506566,0.0023093477,0.0047928873,0.011774991,0.002326291,0.004825756,0.0051552095],"category_scores_gemma":[0.06778503,0.00081598776,0.0015150238,0.0014160359,0.017836412,0.012484636,0.01631598,0.005718457,0.0011394308],"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":[0.00011177568,0.00019568473,0.0066483147,0.0006405006,0.00013172391,0.00045802424,0.024882818,0.014830074,0.0029485163,0.83690745,0.0047809104,0.10746418],"study_design_scores_gemma":[0.00005793809,0.00017934226,0.00129487,0.00051127636,0.00006214131,0.00012336773,0.0054646875,0.0074216826,0.0026769245,0.86572057,0.11638379,0.00010346505],"about_ca_topic_score_codex":0.00253635,"about_ca_topic_score_gemma":0.0033481712,"teacher_disagreement_score":0.06888312,"about_ca_system_score_codex":0.006843146,"about_ca_system_score_gemma":0.020669503,"threshold_uncertainty_score":0.3642931},"labels":[],"label_agreement":null},{"id":"W2108218086","doi":"10.1089/omi.2010.0092","title":"COX-2-Dependent and COX-2-Independent Mode of Action of Celecoxib in Human Liver Cancer Cells","year":2011,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec; Centre hospitalier universitaire de Québec","funders":"","keywords":"Celecoxib; Microarray analysis techniques; Cancer research; Cell culture; Microarray; Biological pathway; Cancer; Gene; Biology; Programmed cell death; Cell growth; Gene expression; Pharmacology; Apoptosis; Biochemistry; Genetics","score_opus":0.029934614950958057,"score_gpt":0.31620483310203856,"score_spread":0.2862702181510805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108218086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96016395,0.020472772,0.008629689,0.00045436813,0.0002832262,0.0001949829,0.0035396537,0.00015724392,0.0061041797],"genre_scores_gemma":[0.9745815,0.00834113,0.0041936995,0.00018316948,0.00007269266,0.00021599833,0.0031490203,0.000013599991,0.00924915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979955,0.00003758921,0.000017131242,0.00003271044,0.00006881954,0.00004427183],"domain_scores_gemma":[0.9999541,0.0000072935372,0.0000078304365,0.000008355616,0.000012158706,0.000010197418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019275332,0.00031199472,0.0003751826,0.00035902642,0.0002327969,0.0003389536,0.0001363674,0.00017965521,0.0020566843],"category_scores_gemma":[0.0001227029,0.00013873492,0.00046689698,0.0004310729,0.00012972605,0.00017415266,0.00014706895,0.00041190974,0.0007155126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004763839,0.00007491019,0.0006647314,0.00013717992,0.000014059846,0.00015266033,0.000029354336,0.000097042364,0.99413717,0.00013591404,0.0001658736,0.003914735],"study_design_scores_gemma":[0.00007708045,0.00074077724,0.02678302,0.000014952505,0.000043555232,0.00073036057,0.00009584459,0.0014982475,0.9617075,0.00012067241,0.0081762895,0.000011763373],"about_ca_topic_score_codex":0.0010582499,"about_ca_topic_score_gemma":0.0012752473,"teacher_disagreement_score":0.0020566843,"about_ca_system_score_codex":0.00025853657,"about_ca_system_score_gemma":0.00034910662,"threshold_uncertainty_score":0.0068802834},"labels":[],"label_agreement":null},{"id":"W2115965009","doi":"10.1089/omi.2007.4324","title":"Human Non-synonymous Single Nucleotide Polymorphisms Can Influence Ubiquitin-mediated Protein Degradation","year":2007,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biology; Ubiquitin; Proteolysis; Genetics; PEST analysis; Cell biology; Gene; Biochemistry; Enzyme","score_opus":0.013058699501629209,"score_gpt":0.2609148271996132,"score_spread":0.24785612769798396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115965009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779606,0.00045410576,0.001036996,0.000020925472,0.00001218762,0.0000070615356,0.00034816464,0.00001624233,0.0003082977],"genre_scores_gemma":[0.99896944,0.00007656719,0.0005809948,0.000020939573,0.0000054079164,0.0000069295597,0.00023214772,0.000008878556,0.00009867614],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994165,0.00019929252,0.00006629278,0.00016344058,0.000102696045,0.000051908402],"domain_scores_gemma":[0.9993591,0.0003163595,0.00018820218,0.000052452895,0.000029095097,0.00005481965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044265203,0.00029698285,0.00036215392,0.00047176087,0.00021613213,0.00031088127,0.000102395104,0.00027675965,0.001254861],"category_scores_gemma":[0.0011984761,0.000092255155,0.00030829222,0.0006608063,0.00022503624,0.000097080585,0.00016165597,0.000223371,0.00021387267],"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":[0.0034200426,0.00014183972,0.6333746,0.00018346988,0.0012431331,0.0034735394,0.00025420508,0.0021785323,0.324493,0.00041875133,0.00070835435,0.030110573],"study_design_scores_gemma":[0.000046522666,0.00025635734,0.95467806,0.000019947267,0.00037441007,0.00477471,0.0001182818,0.00641753,0.0306911,0.0004939838,0.0021021732,0.000026944263],"about_ca_topic_score_codex":0.0008189974,"about_ca_topic_score_gemma":0.0017848068,"teacher_disagreement_score":0.001254861,"about_ca_system_score_codex":0.00015093698,"about_ca_system_score_gemma":0.00010991513,"threshold_uncertainty_score":0.0041978955},"labels":[],"label_agreement":null},{"id":"W2116759887","doi":"10.1089/omi.2013.0034","title":"Crowd-Funded Micro-Grants for Genomics and “Big Data”: An Actionable Idea Connecting Small (Artisan) Science, Infrastructure Science, and Citizen Philanthropy","year":2013,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Children's Hospital; University of Toronto; McGill University","funders":"National Institute on Minority Health and Health Disparities","keywords":"Big data; Citizen science; Data science; Commons; Crowdsourcing; Public relations; Political science; Engineering ethics; World Wide Web; Computer science; Engineering; Biology","score_opus":0.035480818521776,"score_gpt":0.318096018959975,"score_spread":0.28261520043819904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116759887","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040544085,0.00482527,0.1413669,0.53470784,0.0069872513,0.001029384,0.00021507753,0.0006985949,0.26962557],"genre_scores_gemma":[0.8064658,0.0026169776,0.08487772,0.057923328,0.0023549173,0.0021492362,0.000086419204,0.00022155535,0.043304022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9704014,0.020422742,0.0005855687,0.0025019147,0.0036615487,0.00242682],"domain_scores_gemma":[0.9703423,0.018010328,0.0021311017,0.0024462086,0.0019448706,0.0051252637],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.032001298,0.0009899192,0.00053101673,0.0025857917,0.009572099,0.016499111,0.003185521,0.011599493,0.008429303],"category_scores_gemma":[0.03674951,0.0006942701,0.0011262799,0.0017570691,0.04014765,0.022096472,0.01684955,0.009314795,0.0013463368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047073154,0.000080178055,0.0007014277,0.00013296871,0.000018196148,0.00016184429,0.0061713425,0.00064365857,0.00031358542,0.9613975,0.013892913,0.016439237],"study_design_scores_gemma":[0.00011081714,0.000115685914,0.0005223952,0.00035975158,0.00002826927,0.00011439583,0.0064771157,0.0013372066,0.00043877546,0.7473535,0.24305268,0.00008943676],"about_ca_topic_score_codex":0.0028548408,"about_ca_topic_score_gemma":0.0033196863,"teacher_disagreement_score":0.9679987,"about_ca_system_score_codex":0.0065633697,"about_ca_system_score_gemma":0.014199327,"threshold_uncertainty_score":0.16924107},"labels":[],"label_agreement":null},{"id":"W2119387590","doi":"10.1089/omi.2008.0049","title":"Nutrigenomics and Ethics Interface: Direct-to-Consumer Services and Commercial Aspects","year":2008,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Institute of Health Economics; University of Alberta","funders":"Goddard Space Flight Center","keywords":"Genetic testing; Nutrigenomics; Transparency (behavior); Business; Legislation; Enforcement; Public economics; Internet privacy; Political science; Economics; Law; Genetics; Biology; Computer science; Gene","score_opus":0.031015182249738853,"score_gpt":0.350155513555637,"score_spread":0.31914033130589814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119387590","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006899063,0.90769035,0.0031354728,0.023841571,0.0017431158,0.000032440585,0.00001829158,0.000041898198,0.062807016],"genre_scores_gemma":[0.013246995,0.93709886,0.00367277,0.016334815,0.002646562,0.00011020995,0.00003168956,0.000032188138,0.026825871],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972556,0.0014568932,0.0001369701,0.00016315814,0.00088229886,0.00010502843],"domain_scores_gemma":[0.99668926,0.002497935,0.0001680881,0.00010496889,0.0004310847,0.00010873479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003390792,0.0007122095,0.0008750916,0.0013877156,0.0007580283,0.0033392105,0.00081741274,0.0062267575,0.007861343],"category_scores_gemma":[0.006249691,0.0003483234,0.00041834082,0.0019178578,0.0046090535,0.0047361264,0.0019117284,0.0036991092,0.0032914304],"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":[0.000024956084,0.0000577082,0.00029526782,0.0035026004,0.000020390718,0.0006212354,0.0014298705,0.000286454,0.00078797346,0.16588269,0.0907226,0.7363683],"study_design_scores_gemma":[0.000007979677,0.00002279501,0.0006614156,0.0019701452,0.000009549887,0.0015853626,0.00049787667,0.00011059468,0.00021232103,0.030802703,0.96410364,0.000015648831],"about_ca_topic_score_codex":0.001794464,"about_ca_topic_score_gemma":0.0026785263,"teacher_disagreement_score":0.007861343,"about_ca_system_score_codex":0.0021702545,"about_ca_system_score_gemma":0.0030543983,"threshold_uncertainty_score":0.026298821},"labels":[],"label_agreement":null},{"id":"W2120211860","doi":"10.1089/omi.2014.0062","title":"Novel Multivariate Methods for Integration of Genomics and Proteomics Data: Applications in a Kidney Transplant Rejection Study","year":2014,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; Institute of Infection and Immunity; St. Paul's Hospital; University of British Columbia; Prevention of Organ Failure","funders":"Diamantina Institute, University of Queensland; Wound Management Innovation Cooperative Research Centre; University of Queensland; Australian Cancer Research Foundation; Australian Government","keywords":"Proteomics; Genomics; Computational biology; Omics; Functional genomics; Multivariate statistics; Computer science; Bioinformatics; Biology; Genome; Gene; Machine learning; Genetics","score_opus":0.06776308066740713,"score_gpt":0.41851202236114216,"score_spread":0.35074894169373505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120211860","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03738961,0.0006571881,0.9600286,0.00071345974,0.000044814646,0.00009026729,0.00028062868,0.00039336807,0.00040208464],"genre_scores_gemma":[0.26322392,0.00096699945,0.73363715,0.0001574668,0.0001487697,0.00032702208,0.0005234572,0.00016907179,0.0008462278],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978896,0.001421976,0.00009717826,0.00023294053,0.00028859853,0.00006971149],"domain_scores_gemma":[0.99642664,0.0024822752,0.00032996212,0.00026268166,0.00035109214,0.00014729108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053747064,0.0009159523,0.00084323593,0.0015915873,0.00046771776,0.001360978,0.0006702981,0.00048603571,0.0010052224],"category_scores_gemma":[0.009251688,0.00027798963,0.0012614453,0.0022902417,0.00053843885,0.0006629596,0.0016294965,0.0016738893,0.00022359475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008052687,0.0006736555,0.043257322,0.00063400116,0.0014173547,0.00084479526,0.000743181,0.1490701,0.027452663,0.040788956,0.0044971327,0.72981554],"study_design_scores_gemma":[0.000053705542,0.00027005962,0.028619347,0.00004578441,0.000154439,0.00047939134,0.000283792,0.92329144,0.0036698193,0.038517307,0.004512556,0.00010239199],"about_ca_topic_score_codex":0.0021811612,"about_ca_topic_score_gemma":0.0019729112,"teacher_disagreement_score":0.0053747064,"about_ca_system_score_codex":0.00035699006,"about_ca_system_score_gemma":0.0010124868,"threshold_uncertainty_score":0.028424442},"labels":[],"label_agreement":null},{"id":"W2156714835","doi":"10.1089/omi.2008.0069","title":"Nutrigenomics and Personalized Diet: From Molecule to Intervention and Nutri-ethics","year":2008,"lang":"en","type":"editorial","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nutrigenomics; Personalized medicine; Biology; Bioinformatics; Genetics","score_opus":0.011055708991420232,"score_gpt":0.2977838618100879,"score_spread":0.2867281528186677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156714835","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000035104502,0.004879103,0.00017274724,0.052995156,0.94085217,0.000011951624,0.000024844225,0.00002586862,0.0010029894],"genre_scores_gemma":[0.0005981989,0.0030874372,0.00015498344,0.027391754,0.9640191,0.00001840059,0.000010469193,0.000020979289,0.0046985624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959061,0.0012700084,0.0005298021,0.0004162815,0.0016412737,0.00023636743],"domain_scores_gemma":[0.97048134,0.018565845,0.0011992366,0.0006348144,0.007067003,0.002051829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009385357,0.0026503683,0.0033570314,0.0023502512,0.0019962187,0.0051163016,0.0025396033,0.014326503,0.0072581274],"category_scores_gemma":[0.033361595,0.00082165166,0.0016696643,0.0008500763,0.0029602943,0.003042052,0.0013394305,0.02216395,0.0044970536],"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":[0.000040215786,0.0000118053,0.000024000501,0.0001823131,0.000022288898,0.00015359273,0.000016607073,0.000020386608,0.00003908374,0.000632773,0.99415225,0.004704644],"study_design_scores_gemma":[0.00009235443,0.000033379405,0.00029125885,0.00071918813,0.00008396257,0.00053093315,0.00006151874,0.00025156376,0.00016044211,0.0033209317,0.9944291,0.000025304897],"about_ca_topic_score_codex":0.0007477333,"about_ca_topic_score_gemma":0.0020520303,"teacher_disagreement_score":0.014326503,"about_ca_system_score_codex":0.001779528,"about_ca_system_score_gemma":0.0021079038,"threshold_uncertainty_score":0.049635112},"labels":[],"label_agreement":null},{"id":"W2168413498","doi":"10.1089/omi.2011.0007","title":"Policy and Data-Intensive Scientific Discovery in the Beginning of the 21st Century","year":2011,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Division of Biological Infrastructure","keywords":"Scientific discovery; Data science; Computer science; Psychology; Cognitive science","score_opus":0.13275474487916844,"score_gpt":0.3811643709331279,"score_spread":0.24840962605395944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168413498","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002625771,0.024771055,0.012295708,0.94332755,0.0023599204,0.000040873838,0.00017407128,0.00011576773,0.014289336],"genre_scores_gemma":[0.21429831,0.15023026,0.06362537,0.5336247,0.019772118,0.0008838058,0.00071529,0.0004798261,0.016370334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.919413,0.04596902,0.0037299038,0.009640897,0.016555179,0.004692081],"domain_scores_gemma":[0.6642084,0.2778219,0.009734854,0.017522015,0.01835613,0.012356821],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.12868567,0.0011106213,0.0023855746,0.0042192885,0.009441791,0.0302905,0.0049373596,0.026575204,0.007253817],"category_scores_gemma":[0.14855178,0.0012952713,0.0015216781,0.007872378,0.057608914,0.06388449,0.013888585,0.033840537,0.0020085387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006735105,0.000060921502,0.00061201985,0.0004899096,0.00003992222,0.000141859,0.002440259,0.0009602321,0.00021296124,0.92287767,0.043176383,0.028920555],"study_design_scores_gemma":[0.000023440962,0.00003822104,0.0004492808,0.0010187126,0.000013340026,0.00009813434,0.002479187,0.000813759,0.0002609805,0.6706877,0.32406345,0.000053819967],"about_ca_topic_score_codex":0.009934777,"about_ca_topic_score_gemma":0.005396758,"teacher_disagreement_score":0.87131435,"about_ca_system_score_codex":0.020058822,"about_ca_system_score_gemma":0.04486759,"threshold_uncertainty_score":0.680563},"labels":[],"label_agreement":null},{"id":"W2178869261","doi":"10.1089/omi.2015.0123","title":"Biobanks in Oral Health: Promises and Implications of Post-Neoliberal Science and Innovation","year":2015,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Wellcome Trust","keywords":"Biobank; Neoliberalism (international relations); Politics; Political science; Public relations; Law; Biology; Bioinformatics","score_opus":0.44038126911961645,"score_gpt":0.5898660823255204,"score_spread":0.14948481320590395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178869261","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013036432,0.09300779,0.020064533,0.7955299,0.0044302167,0.00010896149,0.00010025346,0.00013283173,0.07358908],"genre_scores_gemma":[0.55783474,0.1616713,0.05738361,0.17315444,0.018304888,0.0007337603,0.00023772122,0.00024345264,0.030436262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9772068,0.013251372,0.00069023087,0.0017754993,0.0042671864,0.0028088652],"domain_scores_gemma":[0.9186652,0.05953706,0.0038991203,0.005827021,0.0053586382,0.006713019],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.07279292,0.0006379003,0.0009476551,0.002534323,0.008376484,0.029557748,0.003081027,0.014893729,0.010190914],"category_scores_gemma":[0.05018155,0.00065709103,0.0009039648,0.00294566,0.052614346,0.039388593,0.016307456,0.011858735,0.0021413644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041720516,0.000047331254,0.0005940223,0.00021802276,0.000007771309,0.0001186283,0.0028092202,0.00019541086,0.00011941958,0.9521505,0.008090106,0.035607934],"study_design_scores_gemma":[0.000024101333,0.00004072936,0.0010592367,0.0011664723,0.000009570487,0.00012685626,0.004548603,0.00038867118,0.00040477954,0.7705657,0.22162417,0.000041182277],"about_ca_topic_score_codex":0.0031822098,"about_ca_topic_score_gemma":0.003951924,"teacher_disagreement_score":0.9916235,"about_ca_system_score_codex":0.014232303,"about_ca_system_score_gemma":0.02539223,"threshold_uncertainty_score":0.38497037},"labels":[],"label_agreement":null},{"id":"W2235826502","doi":"10.1089/omi.2015.0174","title":"Early Stage Health Technology Assessment for Precision Biomarkers in Oral Health and Systems Medicine","year":2016,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Biomarker; Precision medicine; Medicine; Upstream (networking); Health care; Risk analysis (engineering); Health technology; Biomarker discovery; Intensive care medicine; Computer science; Pathology; Political science","score_opus":0.297870135063838,"score_gpt":0.49868405376962,"score_spread":0.20081391870578197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235826502","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004753563,0.42840713,0.43952292,0.07432276,0.0065470543,0.0018500227,0.0032076347,0.00126456,0.040124375],"genre_scores_gemma":[0.10133299,0.24791677,0.61098564,0.021350013,0.006039065,0.0030673349,0.002254844,0.00043947724,0.0066139065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9639563,0.02262044,0.0027346283,0.0026365288,0.007402198,0.0006500021],"domain_scores_gemma":[0.8941861,0.0798281,0.005776564,0.0060524824,0.0131165795,0.0010402547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.053793482,0.0019873797,0.0033549292,0.0060324245,0.0014623083,0.010764772,0.0027435329,0.004682889,0.012604602],"category_scores_gemma":[0.093319535,0.0009815108,0.0030145466,0.0044741808,0.0041219126,0.0077360654,0.0064507914,0.0076157334,0.003984245],"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":[0.00039180167,0.00020748407,0.0072998116,0.020504128,0.0014070406,0.0003630602,0.0010558346,0.0040902956,0.0046355003,0.29512554,0.04865199,0.6162675],"study_design_scores_gemma":[0.00013157866,0.00077932474,0.008026611,0.019178236,0.0012803281,0.0008289684,0.0009934368,0.00937756,0.009060094,0.38490766,0.5650975,0.00033871812],"about_ca_topic_score_codex":0.0030680294,"about_ca_topic_score_gemma":0.003530826,"teacher_disagreement_score":0.053793482,"about_ca_system_score_codex":0.0064500947,"about_ca_system_score_gemma":0.014668671,"threshold_uncertainty_score":0.28449047},"labels":[],"label_agreement":null},{"id":"W2312932649","doi":"10.1089/omi.2015.0185","title":"Systems Biology Approaches for Host–Fungal Interactions: An Expanding Multi-Omics Frontier","year":2016,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure; St. Paul's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Systems biology; Biology; Host (biology); Computational biology; Proteomics; Genomics; Metabolomics; Omics; Modelling biological systems; Fungal pathogen; Pathogen; Bioinformatics; Genome; Ecology; Microbiology; Genetics; Gene","score_opus":0.17253384962967838,"score_gpt":0.42836756436731865,"score_spread":0.25583371473764027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312932649","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038024847,0.980212,0.014630262,0.0019177244,0.00033654878,0.00002599999,0.00004918742,0.000075748285,0.002372211],"genre_scores_gemma":[0.0034130765,0.9796163,0.014795903,0.0007157493,0.0006430272,0.00004420565,0.00007269218,0.00001695671,0.000682053],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991716,0.00025559912,0.00006987071,0.0001342733,0.0003262874,0.00004236055],"domain_scores_gemma":[0.9975656,0.0017455711,0.00014798576,0.00010789649,0.00033082545,0.00010216643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026722066,0.0017011694,0.003138447,0.0041209827,0.00050517044,0.0023868869,0.0018690625,0.0021927874,0.0027996781],"category_scores_gemma":[0.0016350852,0.00052084186,0.0015324535,0.0032776978,0.0020601146,0.0036057762,0.001630419,0.0040340084,0.0013034242],"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":[0.00005037429,0.00013522834,0.0010526961,0.026023922,0.00047004383,0.00039086488,0.00043120564,0.003618893,0.008763294,0.061959896,0.014964454,0.88213915],"study_design_scores_gemma":[0.000022942864,0.00018900608,0.0025586244,0.005889791,0.00032871327,0.0015544511,0.0004958611,0.0045305192,0.0036525636,0.08697249,0.8936467,0.00015828476],"about_ca_topic_score_codex":0.0014983887,"about_ca_topic_score_gemma":0.0015982053,"teacher_disagreement_score":0.0041209827,"about_ca_system_score_codex":0.0017909536,"about_ca_system_score_gemma":0.0021989495,"threshold_uncertainty_score":0.014132142},"labels":[],"label_agreement":null},{"id":"W2336330883","doi":"10.1089/omi.2016.0038","title":"An Open Letter in Support of Transformative Biotechnology and Social Innovation: SANKO University Innovation Summit in Medicine and Integrative Biology, Gaziantep, Turkey, May 5–7, 2016","year":2016,"lang":"en","type":"letter","venue":"OMICS A Journal of Integrative Biology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Summit; Transformative learning; Social innovation; Biotechnology; Engineering ethics; Political science; Environmental ethics; Biology; Sociology; Engineering; Public relations; Geography","score_opus":0.025664960734717614,"score_gpt":0.3144194144653242,"score_spread":0.28875445373060654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336330883","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000405083,0.0007480858,0.00008762594,0.9441603,0.05260389,0.000024754741,0.00006609529,0.000022578173,0.001881624],"genre_scores_gemma":[0.005081339,0.0012581749,0.00032796233,0.9257453,0.048604336,0.00008568138,0.00006409172,0.000036864778,0.018796233],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959804,0.0009382759,0.0004972659,0.00053833297,0.0013237011,0.0007220507],"domain_scores_gemma":[0.99211323,0.0040729013,0.0005827392,0.00018954494,0.0014496557,0.0015919592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004808018,0.0013264695,0.0015796385,0.0005545246,0.0065904898,0.006409601,0.0018450376,0.053571038,0.0066207913],"category_scores_gemma":[0.03444133,0.0006372423,0.0015022684,0.00045859805,0.0026137289,0.003013005,0.0022995754,0.044492148,0.0043273563],"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":[0.00011415866,0.00007756066,0.00044405085,0.000067223664,0.000027164935,0.0019227641,0.00025242302,0.00007744993,0.00026390055,0.0018286022,0.9895405,0.0053842673],"study_design_scores_gemma":[0.00021776774,0.00013717644,0.0015596924,0.0004357839,0.000058292426,0.0012012711,0.001059743,0.00066815293,0.0004305757,0.004680122,0.9894699,0.00008158381],"about_ca_topic_score_codex":0.0052874647,"about_ca_topic_score_gemma":0.010691846,"teacher_disagreement_score":0.053571038,"about_ca_system_score_codex":0.004504521,"about_ca_system_score_gemma":0.006379105,"threshold_uncertainty_score":0.032682717},"labels":[],"label_agreement":null},{"id":"W2397598151","doi":"10.1089/omi.2016.0042","title":"Multi-Dimensional Impact of the Public–Private Center for Translational Molecular Medicine (CTMM) in the Netherlands: Understanding New 21 <sup>st</sup> Century Institutional Designs to Support Innovation-in-Society","year":2016,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Health and Medical Research Impacts","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":"Pancreas Centre (Canada)","funders":"Center for Translational Molecular Medicine","keywords":"Translational research; Translational science; Translational medicine; General partnership; Medicine; Public health; Political science; Pathology","score_opus":0.2086407648404917,"score_gpt":0.4325648692556068,"score_spread":0.22392410441511507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397598151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78260946,0.0055778064,0.011919258,0.12341847,0.00034952938,0.0005420211,0.00067233405,0.000085709544,0.07482528],"genre_scores_gemma":[0.99273235,0.0005693178,0.002845612,0.0021732068,0.00005339467,0.0001777202,0.000095979514,0.000027033206,0.0013253595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9034356,0.0748016,0.0026921937,0.0033340391,0.010049766,0.0056868866],"domain_scores_gemma":[0.8345297,0.107098326,0.024869561,0.004943085,0.009033585,0.019525817],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05915777,0.00028445583,0.0004637064,0.0021290944,0.004160673,0.021940265,0.001912309,0.0023049563,0.004699704],"category_scores_gemma":[0.10066578,0.00053163886,0.00043774943,0.0059542037,0.0097007,0.0102281915,0.012336117,0.0025286123,0.00034746208],"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":[0.0003861,0.0008953522,0.25008053,0.0011629455,0.00025306013,0.0012098711,0.07824855,0.0059818393,0.0013163548,0.3954656,0.031516504,0.23348334],"study_design_scores_gemma":[0.00026976026,0.0010483854,0.3251111,0.002224229,0.00022612375,0.0006345555,0.27927607,0.011227316,0.001588331,0.1006071,0.27747983,0.00030722725],"about_ca_topic_score_codex":0.030825747,"about_ca_topic_score_gemma":0.033707887,"teacher_disagreement_score":0.9408422,"about_ca_system_score_codex":0.034739897,"about_ca_system_score_gemma":0.04162278,"threshold_uncertainty_score":0.31285995},"labels":[],"label_agreement":null},{"id":"W2401984204","doi":"10.1089/omi.2016.0032","title":"Knowledge Translation: Moving Proteomics Science to Innovation in Society","year":2016,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Australian Government","keywords":"Proteomics; Knowledge management; Translation (biology); Data science; Engineering ethics; Computer science; Political science; Sociology; Biology; Engineering; Genetics; Gene","score_opus":0.03952385499309151,"score_gpt":0.3474752112108594,"score_spread":0.30795135621776787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401984204","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0984685,0.018484967,0.13269013,0.48706016,0.0030907486,0.0005580386,0.00014239541,0.00080624036,0.25869885],"genre_scores_gemma":[0.9144702,0.011581651,0.03853082,0.022903541,0.0014122552,0.00053637475,0.00010948218,0.0003108316,0.010144773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95048857,0.03706813,0.001638217,0.0030107652,0.0047347383,0.003059555],"domain_scores_gemma":[0.90810525,0.0710496,0.0050550844,0.00574339,0.006007872,0.0040387255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048550695,0.0012030172,0.0010487005,0.0069721136,0.017128654,0.031577043,0.0031631677,0.011613301,0.007367555],"category_scores_gemma":[0.07044325,0.00068809406,0.0012940932,0.007866417,0.053222604,0.04705311,0.023196429,0.0075959857,0.0020339622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057579487,0.00012386472,0.002585844,0.0010940906,0.00004909241,0.0010817628,0.20684396,0.00081116473,0.00116488,0.6266693,0.013487883,0.14603058],"study_design_scores_gemma":[0.00004602339,0.00012961571,0.001618429,0.001792521,0.000038408092,0.0004249173,0.13280655,0.0012945394,0.0012799707,0.6519173,0.2085684,0.00008330279],"about_ca_topic_score_codex":0.0053005572,"about_ca_topic_score_gemma":0.0023353526,"teacher_disagreement_score":0.048550695,"about_ca_system_score_codex":0.0142879365,"about_ca_system_score_gemma":0.03502015,"threshold_uncertainty_score":0.2567637},"labels":[],"label_agreement":null},{"id":"W2523064628","doi":"10.1089/omi.2016.0119","title":"<i>SLCO1B1</i> Gene Variations Among Tanzanians, Ethiopians, and Europeans: Relevance for African and Worldwide Precision Medicine","year":2016,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":25,"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 and Developing Countries Clinical Trials Partnership; Addis Ababa University; Karolinska Institutet; Centre in Green Chemistry and Catalysis","keywords":"SLCO1B1; Haplotype; Pharmacogenetics; Genotype; Medicine; Allele; Organic anion transporter 1; Gene; Genetics; Pharmacology; Bioinformatics; Biology; Transporter","score_opus":0.026126515276448766,"score_gpt":0.3311056662648546,"score_spread":0.30497915098840583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523064628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975969,0.0010367391,0.00031521491,0.00013919393,0.000014685868,0.0000044512713,0.0002899626,0.000002981846,0.000599891],"genre_scores_gemma":[0.9989428,0.00022592688,0.00028286251,0.00012650671,0.000014302554,0.0000074745985,0.00020626391,0.0000031475763,0.00019074584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970335,0.000104598366,0.000033742377,0.000091811344,0.000029201148,0.00003734699],"domain_scores_gemma":[0.99966073,0.00009130668,0.00014650122,0.000032354503,0.00003465326,0.00003444227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005536178,0.00018887108,0.00018307519,0.00033887057,0.0002639634,0.00031715393,0.000116493895,0.00017949495,0.0014622374],"category_scores_gemma":[0.00095265586,0.00008143526,0.00022878441,0.00046338254,0.00024090297,0.00016263418,0.0001876408,0.00021393731,0.0001634153],"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":[0.0005295371,0.000024297244,0.97609496,0.00007297127,0.00023248458,0.0005704682,0.0007732555,0.000096885895,0.0053749355,0.0003261932,0.0006370743,0.015267025],"study_design_scores_gemma":[0.0000142025465,0.000066544,0.9960037,0.000043771626,0.00010279572,0.0008810946,0.00037764068,0.00012338298,0.00041778636,0.00019225715,0.0017690584,0.000007779675],"about_ca_topic_score_codex":0.0022967272,"about_ca_topic_score_gemma":0.0029587003,"teacher_disagreement_score":0.0022967272,"about_ca_system_score_codex":0.000110207315,"about_ca_system_score_gemma":0.00013420089,"threshold_uncertainty_score":0.0048916936},"labels":[],"label_agreement":null},{"id":"W2557029147","doi":"10.1089/omi.2016.0112","title":"Cerebrospinal Fluid Metabolomics After Natural Product Treatment in an Experimental Model of Cerebral Ischemia","year":2016,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Chinese University of Hong Kong; University of Hong Kong; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Cerebrospinal fluid; Metabolomics; Ischemia; Natural product; Product (mathematics); Medicine; Neuroscience; Computational biology; Biology; Bioinformatics; Internal medicine; Biochemistry","score_opus":0.0138473251835763,"score_gpt":0.2852125326930623,"score_spread":0.271365207509486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557029147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98190975,0.0054870658,0.008201642,0.00022303413,0.00009618824,0.00009127657,0.0026077982,0.00019164411,0.001191596],"genre_scores_gemma":[0.9740908,0.0057446775,0.013540654,0.00041941908,0.00004155549,0.00026452428,0.0025970475,0.00006207258,0.0032391641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990404,0.000012756495,0.000007846251,0.000026123234,0.000027769185,0.000021399446],"domain_scores_gemma":[0.99991584,0.000007935442,0.000027675578,0.000007091305,0.000025493555,0.000015997779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001567707,0.00048231843,0.0004206111,0.0005656246,0.00023071888,0.00027455884,0.00012548089,0.00034241634,0.0006960309],"category_scores_gemma":[0.0001431711,0.00012450702,0.00034998235,0.00038183172,0.00022454778,0.00029077064,0.00022937918,0.0005493087,0.00016293468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090044225,0.000066922876,0.0009343627,0.000121487734,0.000034700326,0.00007646929,0.000031385094,0.000068332876,0.9919533,0.00005465191,0.00010802777,0.005649874],"study_design_scores_gemma":[0.00003449756,0.0012634668,0.030058749,0.000030002482,0.00015639639,0.00028600695,0.00009811426,0.0015423828,0.9635,0.0002368116,0.002760793,0.00003278859],"about_ca_topic_score_codex":0.00060174015,"about_ca_topic_score_gemma":0.0012658691,"teacher_disagreement_score":0.0006960309,"about_ca_system_score_codex":0.00022235975,"about_ca_system_score_gemma":0.00034431313,"threshold_uncertainty_score":0.0023284554},"labels":[],"label_agreement":null},{"id":"W2625674470","doi":"10.1089/omi.2017.0049","title":"Multi-omics Integrative Investigation of Fatty Acid Metabolism in Obese and Lean Subcutaneous Tissue","year":2017,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Lipogenesis; Adipose tissue; Fatty acid; Lipolysis; Fatty acid metabolism; Polyunsaturated fatty acid; Endocrinology; Internal medicine; Biology; White adipose tissue; Obesity; Fatty acid synthase; Biochemistry; Medicine","score_opus":0.03087277048498331,"score_gpt":0.3276451845578101,"score_spread":0.2967724140728268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625674470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89607424,0.012305736,0.07311005,0.00073458906,0.00012567444,0.0002452761,0.014436912,0.00041305288,0.0025543713],"genre_scores_gemma":[0.9126652,0.0033602265,0.07039913,0.0006130286,0.000105771585,0.00037048728,0.011552736,0.0001023297,0.00083108566],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993722,0.00017776815,0.00005922461,0.00018337475,0.00013821248,0.00006926198],"domain_scores_gemma":[0.9993337,0.00018042242,0.0001777835,0.00010139551,0.0001449826,0.00006177812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014986928,0.0007582414,0.0013756171,0.0026322058,0.00062400027,0.0016324106,0.000365215,0.0003660945,0.0012471254],"category_scores_gemma":[0.0009454465,0.00028406692,0.0014361242,0.0028863256,0.0003498793,0.00050655386,0.0012273396,0.00056599436,0.00023315365],"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":[0.0014855401,0.0002275432,0.14378817,0.001409232,0.0023737221,0.00054348435,0.00040806,0.0044403085,0.78931147,0.00088405964,0.0011028522,0.054025587],"study_design_scores_gemma":[0.0000861323,0.0005133046,0.90575206,0.00022158769,0.0017911522,0.00085436465,0.0009981736,0.03104626,0.047933925,0.0034077796,0.0072799553,0.00011532383],"about_ca_topic_score_codex":0.0015270646,"about_ca_topic_score_gemma":0.0023793208,"teacher_disagreement_score":0.0026322058,"about_ca_system_score_codex":0.00040649463,"about_ca_system_score_gemma":0.0005663516,"threshold_uncertainty_score":0.007925987},"labels":[],"label_agreement":null},{"id":"W2765736274","doi":"10.1089/omi.2017.0148","title":"David Bowie and the Art of Slow Innovation: A <i>Fast-Second Winner</i> Strategy for Biotechnology and Precision Medicine Global Development","year":2017,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","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":"Institute on Governance","funders":"","keywords":"Creativity; Innovator; Precision medicine; Computer science; Sociology; Political science; Intellectual property; Medicine; Law","score_opus":0.06407486578040547,"score_gpt":0.38714836728074487,"score_spread":0.3230735015003394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765736274","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033452518,0.04518231,0.008598637,0.8234909,0.011659801,0.00007767709,0.000034736528,0.00018649908,0.10742419],"genre_scores_gemma":[0.24415717,0.08280001,0.0348658,0.38223678,0.010764641,0.00067479536,0.00009786276,0.00076050026,0.2436424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9876582,0.005257365,0.0003309125,0.0013166211,0.0040914356,0.0013453917],"domain_scores_gemma":[0.98714954,0.0071036904,0.0007444174,0.00062197936,0.0024668404,0.0019134893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013536421,0.0011215087,0.0006765334,0.0029085032,0.00972916,0.025508193,0.002086264,0.010539558,0.004601235],"category_scores_gemma":[0.017225051,0.00063248374,0.0007530818,0.0018013451,0.031055676,0.019534627,0.008398109,0.014614159,0.0023269465],"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":[0.000022593607,0.00002438729,0.0002316778,0.000119814744,0.00000995231,0.00010621215,0.0026562472,0.0002466696,0.00014158264,0.72053415,0.2536834,0.022223212],"study_design_scores_gemma":[0.00002248169,0.000031452502,0.000117082775,0.00023681321,0.000009952708,0.00011357861,0.0018128161,0.00032583188,0.00031544105,0.1836436,0.81332546,0.000045443983],"about_ca_topic_score_codex":0.010719931,"about_ca_topic_score_gemma":0.0097284615,"teacher_disagreement_score":0.025508193,"about_ca_system_score_codex":0.01196846,"about_ca_system_score_gemma":0.016206399,"threshold_uncertainty_score":0.08683771},"labels":[],"label_agreement":null},{"id":"W2766657863","doi":"10.1089/omi.2017.0150","title":"Stop the Spam! Conference Ethics and Decoding the Subtext in Post-Truth Science. What Would Denis Diderot Say?","year":2017,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Toronto; York University; Institute on Governance","funders":"","keywords":"Subtext; Hegemony; Sociology; Power (physics); Authoritarianism; Political science; Law; Engineering ethics; Democracy; Politics; Computer science; Engineering","score_opus":0.10270647466774424,"score_gpt":0.4223794372549668,"score_spread":0.31967296258722255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766657863","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033315418,0.010110433,0.0011009861,0.9653076,0.005186038,0.00001296826,0.000014235813,0.000022482876,0.014913813],"genre_scores_gemma":[0.4025398,0.011096294,0.002986255,0.5386303,0.0157352,0.00018590638,0.000044020577,0.00022464897,0.028557543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.95194274,0.037245844,0.00080332527,0.0024875903,0.0051195896,0.0024008974],"domain_scores_gemma":[0.9005358,0.072857164,0.00600439,0.0030689894,0.010209049,0.0073245643],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.055636298,0.00043534723,0.00080688245,0.0015839685,0.013767911,0.016892971,0.002221269,0.018623026,0.0032437334],"category_scores_gemma":[0.121557385,0.00037430553,0.00047961052,0.0009834901,0.04377873,0.017001847,0.0060174954,0.018153595,0.0013359109],"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":[0.00011199435,0.000067314206,0.0012044156,0.0002073902,0.000021001413,0.00031916818,0.037187736,0.00023719584,0.0002593691,0.7119433,0.22633408,0.022107061],"study_design_scores_gemma":[0.00003623661,0.00004132916,0.001047757,0.0011065422,0.000011471244,0.0001724017,0.018142523,0.00039304193,0.00052917626,0.22387072,0.7545665,0.000082293554],"about_ca_topic_score_codex":0.0077044535,"about_ca_topic_score_gemma":0.006378712,"teacher_disagreement_score":0.98137695,"about_ca_system_score_codex":0.01455289,"about_ca_system_score_gemma":0.009763049,"threshold_uncertainty_score":0.29423642},"labels":[],"label_agreement":null},{"id":"W2768318977","doi":"10.1089/omi.2017.0141","title":"Genomic Medicine Without Borders: Which Strategies Should Developing Countries Employ to Invest in Precision Medicine? A New “Fast-Second Winner” Strategy","year":2017,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia","funders":"National Heart, Lung, and Blood Institute; United Arab Emirates University","keywords":"Precision medicine; Genomic medicine; Personalized medicine; Computer science; Business; Biology; Computational biology; Genetics","score_opus":0.1397923509181222,"score_gpt":0.4010220524421782,"score_spread":0.261229701524056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768318977","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01840523,0.028758138,0.052167762,0.7749574,0.0036761179,0.00032941776,0.00022148578,0.00025920305,0.12122527],"genre_scores_gemma":[0.6318775,0.025182974,0.071027994,0.24340157,0.0020120675,0.0009249417,0.00026626737,0.000242947,0.025063735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98231435,0.0090432875,0.0007370364,0.0017261406,0.0033369104,0.0028422698],"domain_scores_gemma":[0.98120785,0.00981115,0.0017473986,0.0017708432,0.002792796,0.0026699437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04278293,0.0012451024,0.0011159361,0.0024172005,0.004581165,0.02122112,0.0028641392,0.012763566,0.0064404085],"category_scores_gemma":[0.03146354,0.00050386623,0.0012429411,0.0017911778,0.020834342,0.03031268,0.013772113,0.011152183,0.0014644251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006984539,0.00005407239,0.0014070659,0.00034978878,0.000040902643,0.00026382916,0.0023041465,0.000650158,0.00046712483,0.93183845,0.01960347,0.04295117],"study_design_scores_gemma":[0.00012434369,0.0002462759,0.0017149629,0.0016915547,0.000057869536,0.00042734644,0.008633455,0.0015805572,0.0010156231,0.6843468,0.30005035,0.000110966495],"about_ca_topic_score_codex":0.0033017304,"about_ca_topic_score_gemma":0.0028711872,"teacher_disagreement_score":0.04278293,"about_ca_system_score_codex":0.0073920824,"about_ca_system_score_gemma":0.019496523,"threshold_uncertainty_score":0.22626048},"labels":[],"label_agreement":null},{"id":"W2786762101","doi":"10.1089/omi.2018.0002","title":"What does “Diversity” Mean for Public Engagement in Science? A New Metric for Innovation Ecosystem Diversity","year":2018,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Diversity (politics); Metric (unit); Ecosystem; Biodiversity; Environmental resource management; Ecology; Geography; Environmental ethics; Sociology; Biology; Environmental science; Business; Anthropology","score_opus":0.14147651338356712,"score_gpt":0.4198994249551169,"score_spread":0.27842291157154975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786762101","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28202218,0.024339482,0.24650799,0.13081445,0.00485455,0.0007588035,0.002459138,0.00049183035,0.3077516],"genre_scores_gemma":[0.96622956,0.0020883565,0.023972426,0.0036706752,0.0015473343,0.0005251797,0.00040154147,0.00007804999,0.0014867617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9563223,0.024971874,0.0027935996,0.003210459,0.010582463,0.0021191505],"domain_scores_gemma":[0.8740225,0.07513928,0.021934187,0.009297883,0.012344666,0.0072615645],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.034017846,0.001283992,0.0014176901,0.017715119,0.0073966426,0.012197528,0.0018234209,0.004821169,0.0053048506],"category_scores_gemma":[0.11707049,0.00049207796,0.0015195155,0.012835302,0.02630368,0.02872208,0.018731585,0.005431233,0.0006723099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058083225,0.0002693852,0.1822979,0.0012058209,0.0005061567,0.00038776305,0.041709166,0.0035676905,0.0015930071,0.52946675,0.018942403,0.21947314],"study_design_scores_gemma":[0.00009225598,0.0005174976,0.082282715,0.0017382369,0.00023877405,0.00061845774,0.035333745,0.0053115147,0.0012198276,0.7855116,0.08686445,0.00027097805],"about_ca_topic_score_codex":0.0029031427,"about_ca_topic_score_gemma":0.0025814455,"teacher_disagreement_score":0.96598214,"about_ca_system_score_codex":0.009978429,"about_ca_system_score_gemma":0.004495818,"threshold_uncertainty_score":0.17990571},"labels":[],"label_agreement":null},{"id":"W2891416003","doi":"10.1089/omi.2018.0040","title":"Is Procalcitonin Biomarker-Guided Antibiotic Therapy a Cost-Effective Approach to Reduce Antibiotic Resistant and <i>Clostridium difficile</i> Infections in Hospitalized Patients?","year":2018,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Sepsis Diagnosis and Treatment","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":"Pancreas Centre (Canada)","funders":"","keywords":"Medicine; Procalcitonin; Intensive care medicine; Population; Sepsis; Intensive care unit; Clostridium difficile; Exacerbation; Antibiotics; Medical prescription; Emergency medicine; Internal medicine; Environmental health","score_opus":0.05691332254708516,"score_gpt":0.362300033106646,"score_spread":0.30538671055956085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891416003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5403848,0.3601966,0.03492832,0.040718846,0.00082064915,0.00094755087,0.006172173,0.00015678897,0.01567419],"genre_scores_gemma":[0.9577961,0.033070456,0.0059505454,0.0019237165,0.00010101706,0.00017658378,0.0006099759,0.000015975706,0.00035551089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9965275,0.002423255,0.0002927094,0.0001783329,0.0003355303,0.00024271416],"domain_scores_gemma":[0.99664354,0.0021020183,0.00068757596,0.00005958396,0.00034783717,0.00015946286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004230374,0.00071069744,0.0012093454,0.00164929,0.0001293952,0.0023098355,0.00059687806,0.0014054908,0.0017165159],"category_scores_gemma":[0.011153639,0.00039779703,0.003637827,0.0015710023,0.00038107642,0.0016081401,0.0006352339,0.0008842381,0.00015940664],"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":[0.0045245974,0.000689291,0.0716926,0.026515318,0.023584714,0.001099244,0.00022166978,0.4649852,0.002830102,0.018929379,0.008128726,0.3767991],"study_design_scores_gemma":[0.0064420686,0.013257366,0.18726557,0.04860864,0.07211957,0.0023442288,0.0022654627,0.5245233,0.0079908045,0.06440498,0.0703307,0.00044728292],"about_ca_topic_score_codex":0.008480326,"about_ca_topic_score_gemma":0.009463137,"teacher_disagreement_score":0.008480326,"about_ca_system_score_codex":0.0028836739,"about_ca_system_score_gemma":0.00442179,"threshold_uncertainty_score":0.022372663},"labels":[],"label_agreement":null},{"id":"W2893353983","doi":"10.1089/omi.2018.0143","title":"The Dark Side of the Moon: The Internet of Things, Industry 4.0, and The Quantified Planet","year":2018,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Legal, Health, Environmental and COVID-19 Challenges","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Multiple Sclerosis Society of Canada","funders":"","keywords":"Big data; Automation; Data science; Computer science; Computer security; Engineering","score_opus":0.04743187389953125,"score_gpt":0.34287393543909844,"score_spread":0.2954420615395672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893353983","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02438976,0.20201981,0.014028954,0.5859296,0.010326688,0.00003327689,0.00013366729,0.00020736504,0.16293088],"genre_scores_gemma":[0.6026918,0.18589917,0.011392874,0.1394204,0.0143890325,0.00016331849,0.00023240257,0.000267545,0.04554349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753785,0.0011712447,0.000048339403,0.00021138342,0.0006700009,0.00036113177],"domain_scores_gemma":[0.99765307,0.0013718047,0.00019837973,0.00014661723,0.00023283956,0.0003973128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023876193,0.00049698487,0.00041229845,0.0019941155,0.004972639,0.010399689,0.00075733475,0.005634231,0.0039236285],"category_scores_gemma":[0.0034062902,0.0003016893,0.0004432102,0.0029241114,0.017370462,0.024409669,0.005618808,0.007584725,0.00078781607],"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":[0.000023179215,0.00001970952,0.0004216256,0.00014867577,0.0000072123817,0.00022476148,0.0040201284,0.00018169222,0.00018159936,0.92672324,0.03777613,0.030272054],"study_design_scores_gemma":[0.0000058093183,0.000035826935,0.0007438165,0.00060438935,0.000006780546,0.00033533343,0.008154461,0.00046594325,0.0001363167,0.50471306,0.4847581,0.000040084447],"about_ca_topic_score_codex":0.0035794077,"about_ca_topic_score_gemma":0.005135197,"teacher_disagreement_score":0.010399689,"about_ca_system_score_codex":0.003944144,"about_ca_system_score_gemma":0.0032800497,"threshold_uncertainty_score":0.028616905},"labels":[],"label_agreement":null},{"id":"W2898413242","doi":"10.1089/omi.2018.0167","title":"Is Space the New Frontier for Omics? Mars-Omics, Planetary Science, and the Next-Generation Technology Futurists","year":2018,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","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":"Multiple Sclerosis Society of Canada","funders":"","keywords":"Mars Exploration Program; Astrobiology; Exploration of Mars; Context (archaeology); Extraterrestrial life; Space exploration; Data science; Geography; Earth science; Ecology; Engineering; Computer science; Biology; Geology; Archaeology","score_opus":0.033161841451023584,"score_gpt":0.3323040446516065,"score_spread":0.29914220320058293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898413242","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008936322,0.23878036,0.06369437,0.6204674,0.024710892,0.00007531298,0.0027449178,0.0007576629,0.03983278],"genre_scores_gemma":[0.22713883,0.314217,0.15964657,0.21882115,0.050142236,0.0003896639,0.005587915,0.0016367028,0.022419948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99197656,0.004212242,0.0003734793,0.001185052,0.0016319324,0.00062081707],"domain_scores_gemma":[0.9835064,0.008377121,0.0011894838,0.0026609134,0.002393161,0.0018729633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01601956,0.0010484777,0.0017574029,0.00329284,0.004160626,0.014451621,0.0016085452,0.005110455,0.009479707],"category_scores_gemma":[0.018580094,0.00039063775,0.001276983,0.004965648,0.017443212,0.028142387,0.008231756,0.011022149,0.00375416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015470959,0.000043685144,0.004495253,0.0016427286,0.00018599976,0.00031161561,0.004511511,0.0007751553,0.0031315791,0.6152545,0.15348521,0.21600805],"study_design_scores_gemma":[0.0000064856185,0.000030515655,0.0017290036,0.0007575507,0.000026144473,0.00022941068,0.0024527046,0.00042937783,0.00046800243,0.38785675,0.6059407,0.00007326751],"about_ca_topic_score_codex":0.0040277294,"about_ca_topic_score_gemma":0.0038247162,"teacher_disagreement_score":0.01601956,"about_ca_system_score_codex":0.0038560228,"about_ca_system_score_gemma":0.0056102173,"threshold_uncertainty_score":0.08472061},"labels":[],"label_agreement":null},{"id":"W2901781934","doi":"10.1089/omi.2018.0162","title":"IMass Time: The Future, in Future!","year":2018,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Medical Research Council; National Health and Medical Research Council; National Natural Science Foundation of China","keywords":"Glycomics; Data science; Computer science; Lipidomics; Proteomics; Nanotechnology; Metabolomics; Computational biology; Chemistry; Bioinformatics; Biology","score_opus":0.0066403421752752045,"score_gpt":0.27891768760597313,"score_spread":0.2722773454306979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901781934","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025434236,0.25434417,0.03673472,0.4672116,0.14595118,0.00009412979,0.00058395235,0.0031834573,0.08935333],"genre_scores_gemma":[0.049004093,0.24124779,0.07573431,0.19786206,0.108590774,0.00037330016,0.0015895562,0.0037166225,0.3218815],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975261,0.00064910285,0.00012817259,0.0003404029,0.0010375314,0.0003187173],"domain_scores_gemma":[0.9924731,0.0015281312,0.0004731366,0.00074028835,0.0021025515,0.002682803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074475165,0.001231047,0.00080514204,0.0017250314,0.0020890238,0.009734454,0.002173974,0.005050381,0.045003954],"category_scores_gemma":[0.013289073,0.00040375165,0.0007491897,0.002305588,0.0044600875,0.022893514,0.004900462,0.007242172,0.028304152],"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":[0.00026524844,0.00007360207,0.0006344922,0.00071549905,0.000025166188,0.00021576611,0.00097649696,0.00014291856,0.0024493497,0.11462244,0.56924766,0.31063136],"study_design_scores_gemma":[0.0000042988218,0.000028374388,0.00006252706,0.00011329489,0.0000036292727,0.000092824936,0.00021423025,0.000061194354,0.00039750114,0.008366144,0.9906461,0.000009947664],"about_ca_topic_score_codex":0.0007239373,"about_ca_topic_score_gemma":0.0008649119,"teacher_disagreement_score":0.045003954,"about_ca_system_score_codex":0.0018292546,"about_ca_system_score_gemma":0.0032918933,"threshold_uncertainty_score":0.15055323},"labels":[],"label_agreement":null},{"id":"W2951631986","doi":"10.1089/omi.2019.0092","title":"A New Approach to Measure Adherence to Medicines Using Biomarkers and Sensors","year":2019,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institute on Governance","funders":"","keywords":"Measure (data warehouse); Computer science; Medicine; Data science; Computational biology; Psychology; Biology; Data mining","score_opus":0.2232339389888277,"score_gpt":0.4270676540295523,"score_spread":0.20383371504072462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951631986","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034405142,0.0031227227,0.93945575,0.0023026215,0.0007395284,0.00052850274,0.0030855616,0.003933752,0.012426362],"genre_scores_gemma":[0.33797207,0.0036616123,0.64241886,0.0022557904,0.00051220064,0.0010989975,0.0022831385,0.00022794127,0.009569365],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969125,0.00071776006,0.00022108166,0.0008575267,0.0011927467,0.000098482065],"domain_scores_gemma":[0.997654,0.00073861174,0.0004501719,0.00048381035,0.0005721151,0.0001013065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016917547,0.00134944,0.00093678915,0.0017182947,0.0003552479,0.0019910946,0.0016638379,0.0022274388,0.0033087693],"category_scores_gemma":[0.0064152298,0.0008928095,0.001337787,0.0016079926,0.00056495814,0.0028278895,0.001871954,0.0016083055,0.0014169788],"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":[0.0010791557,0.0012927594,0.05975415,0.0017363279,0.0011001579,0.00043899406,0.00086612673,0.043160453,0.10768994,0.053462397,0.017888943,0.7115307],"study_design_scores_gemma":[0.0002708608,0.0035913063,0.03776018,0.00062210794,0.0010173165,0.002087991,0.00053436944,0.61262995,0.14300407,0.061561886,0.13629979,0.00062019285],"about_ca_topic_score_codex":0.0021593198,"about_ca_topic_score_gemma":0.0018047264,"teacher_disagreement_score":0.0033087693,"about_ca_system_score_codex":0.0007664826,"about_ca_system_score_gemma":0.00095542095,"threshold_uncertainty_score":0.01106894},"labels":[],"label_agreement":null},{"id":"W2964483870","doi":"10.1089/omi.2019.0053","title":"How Do Postgenomic Innovations Emerge? Building Legitimacy by Proteomics Standards and Informing the Next-Generation Technology Policy","year":2019,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Cell Image Analysis Techniques","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":"Dalhousie University; St. Francis Xavier University","funders":"Canadian Institutes of Health Research; National Cancer Institute; U.S. Food and Drug Administration","keywords":"Legitimacy; Context (archaeology); Field (mathematics); Leverage (statistics); Politics; Sociotechnical system; Political science; Engineering ethics; Data science; Knowledge management; Computer science; Engineering; Biology; Law","score_opus":0.010215550489368093,"score_gpt":0.2923470034925736,"score_spread":0.28213145300320547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964483870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36761543,0.0030635372,0.13081603,0.20185557,0.0007676075,0.00034349033,0.00010542139,0.00022883495,0.29520404],"genre_scores_gemma":[0.98923457,0.00036663457,0.005293549,0.0024854105,0.00008912968,0.00009956903,0.000021358263,0.00004639013,0.0023633374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.95474833,0.025181418,0.0014986886,0.0043146056,0.009846409,0.004410557],"domain_scores_gemma":[0.9044959,0.06955108,0.009581701,0.007137417,0.0061976016,0.0030362732],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.06039558,0.0005221034,0.00062482484,0.0036561885,0.009360404,0.02142505,0.0019242943,0.009931832,0.0033707349],"category_scores_gemma":[0.09096206,0.0005918485,0.00066590984,0.0022115568,0.06533829,0.026247818,0.01117163,0.009624649,0.0006077813],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021425936,0.00004084895,0.00352763,0.000065543296,0.000011745193,0.00029165615,0.025049143,0.0005237157,0.00087122613,0.95684713,0.0010979824,0.011651975],"study_design_scores_gemma":[0.000022011664,0.000040714982,0.0027318902,0.000296688,0.000014629937,0.00012516101,0.016595228,0.0016241858,0.0019269574,0.91701996,0.05954954,0.000053087002],"about_ca_topic_score_codex":0.0025036014,"about_ca_topic_score_gemma":0.0023142837,"teacher_disagreement_score":0.99063957,"about_ca_system_score_codex":0.015359506,"about_ca_system_score_gemma":0.01709279,"threshold_uncertainty_score":0.3194062},"labels":[],"label_agreement":null},{"id":"W2973017024","doi":"10.1089/omi.2019.0130","title":"A New Web-Based Big Data Analytics for Dynamic Public Opinion Mapping in Digital Networks on Contested Biotechnology Fields","year":2019,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Public opinion; Big data; Data science; Meaning (existential); Politics; Analytics; Variety (cybernetics); Public relations; Sociology; Political science; World Wide Web; Computer science; Psychology; Law; Artificial intelligence","score_opus":0.04723081238926345,"score_gpt":0.30469955872561166,"score_spread":0.2574687463363482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973017024","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16944438,0.0028592471,0.653606,0.009720893,0.0011141291,0.0023907851,0.07972846,0.025503471,0.05563262],"genre_scores_gemma":[0.5718902,0.001238266,0.38107178,0.0014271056,0.0007207305,0.0023257977,0.034939334,0.00079425966,0.0055926014],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960368,0.0015181265,0.00038010027,0.00074453565,0.0011496145,0.0001708148],"domain_scores_gemma":[0.98720294,0.0070511103,0.0017355426,0.0017335394,0.0016551174,0.0006216992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004064187,0.00084970985,0.00077904196,0.010483515,0.0014020517,0.006211939,0.0011490433,0.0013317982,0.003974325],"category_scores_gemma":[0.023794966,0.00038248402,0.0009940151,0.009570571,0.00074499636,0.008144203,0.0037806428,0.001804846,0.0020251714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009873024,0.00085443456,0.07842104,0.0019953188,0.0007110292,0.0014732046,0.01119982,0.041260332,0.010560325,0.11673023,0.081854895,0.65395206],"study_design_scores_gemma":[0.00009363547,0.00017674836,0.034832478,0.000491386,0.00016830243,0.00043976202,0.0083930455,0.6076776,0.007416008,0.1864309,0.1536847,0.00019550759],"about_ca_topic_score_codex":0.005601122,"about_ca_topic_score_gemma":0.006311023,"teacher_disagreement_score":0.010483515,"about_ca_system_score_codex":0.0011943557,"about_ca_system_score_gemma":0.0011231246,"threshold_uncertainty_score":0.021493733},"labels":[],"label_agreement":null},{"id":"W3017384142","doi":"10.1089/omi.2020.0045","title":"Blockchain for Digital Health: Prospects and Challenges","year":2020,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Legal, Health, Environmental and COVID-19 Challenges","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Blockchain; Distributed ledger; Key (lock); Intersection (aeronautics); Computer science; Field (mathematics); Data science; Health care; Digital health; Knowledge management; Computer security; Political science; Engineering","score_opus":0.08977062487006647,"score_gpt":0.37222619056961104,"score_spread":0.28245556569954455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017384142","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027297714,0.9771005,0.0013002583,0.014951666,0.0006429641,0.000012757476,0.000037490798,0.000020636062,0.005660732],"genre_scores_gemma":[0.004769505,0.98929286,0.0007995004,0.0032197677,0.00067668513,0.000026718582,0.00003648304,0.0000076012275,0.0011708406],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837273,0.00078494614,0.00011466621,0.00013383369,0.00045652693,0.00013740275],"domain_scores_gemma":[0.9932601,0.005417042,0.00029321463,0.00018556768,0.00061274867,0.00023137103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043699234,0.00054179237,0.00087683555,0.0017091946,0.00070398656,0.0031036735,0.0011444995,0.003387186,0.00753927],"category_scores_gemma":[0.006364249,0.00025044667,0.00064130453,0.0025998582,0.00279263,0.007617165,0.001968346,0.004184262,0.0020145692],"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":[0.00006557439,0.00005271091,0.00016664097,0.010004978,0.000057339952,0.00017198698,0.00027358517,0.001060453,0.00041969714,0.25260615,0.034919422,0.7002015],"study_design_scores_gemma":[0.000016525788,0.00006904691,0.00017947206,0.009799104,0.000030069688,0.00034963564,0.00021914367,0.00031155153,0.00025208612,0.08292971,0.90582156,0.000022094238],"about_ca_topic_score_codex":0.0019687815,"about_ca_topic_score_gemma":0.0027571071,"teacher_disagreement_score":0.00753927,"about_ca_system_score_codex":0.0023773117,"about_ca_system_score_gemma":0.0055495463,"threshold_uncertainty_score":0.025221407},"labels":[],"label_agreement":null},{"id":"W3087321612","doi":"10.1089/omi.2020.0085","title":"Digital Health in Physicians' and Pharmacists' Office: A Comparative Study of e-Prescription Systems' Architecture and Digital Security in Eight Countries","year":2020,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medical prescription; eHealth; Pharmacy; Business; Health care; Digital health; Medicine; Medical emergency; Internet privacy; Computer security; Family medicine; Nursing; Computer science; Political science","score_opus":0.06224989752911265,"score_gpt":0.4549412359822127,"score_spread":0.39269133845310006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087321612","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975553,0.00043479513,0.000046292156,0.00012698241,0.0000035729,0.000014834179,0.00008499016,0.000001118186,0.0017321731],"genre_scores_gemma":[0.99926764,0.0003335771,0.00008251826,0.00008430065,0.0000040545465,0.000007712861,0.000066094355,0.000001537203,0.00015250879],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961165,0.0017082904,0.00054190063,0.00037130393,0.00069111213,0.0005707897],"domain_scores_gemma":[0.9883853,0.0047021173,0.0035209658,0.00034861005,0.0018265588,0.0012164768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035016295,0.00013835523,0.00032843955,0.0023397596,0.001120405,0.0021299082,0.00033336013,0.0005377738,0.0018278507],"category_scores_gemma":[0.013334255,0.00023929687,0.00042288686,0.0034031896,0.0010955031,0.002558273,0.0018538586,0.00053824874,0.00017107102],"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":[0.0004375584,0.0002730879,0.9099048,0.00043795712,0.00015025573,0.0006710301,0.0620644,0.000095332085,0.00043484799,0.0010355264,0.0005430823,0.023952072],"study_design_scores_gemma":[0.000024457935,0.0004941258,0.87427855,0.00019834323,0.00008368438,0.00044378015,0.12034371,0.000111185465,0.00022067885,0.000074004136,0.0037090944,0.000018401912],"about_ca_topic_score_codex":0.009455733,"about_ca_topic_score_gemma":0.017461315,"teacher_disagreement_score":0.009455733,"about_ca_system_score_codex":0.0017843498,"about_ca_system_score_gemma":0.001585273,"threshold_uncertainty_score":0.018801391},"labels":[],"label_agreement":null},{"id":"W3096334111","doi":"10.1089/omi.2019.0220","title":"Digging Deeper into Precision/Personalized Medicine: Cracking the Sugar Code, the Third Alphabet of Life, and Sociomateriality of the Cell","year":2020,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institute on Governance","funders":"","keywords":"Alphabet; Digging; Code (set theory); Precision medicine; Cracking; Internet privacy; Data science; Computer science; Computer security; Psychology; Biology; History; Genetics; Chemistry; Linguistics","score_opus":0.022242119193233566,"score_gpt":0.3200868190612243,"score_spread":0.2978446998679908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096334111","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016049048,0.05900223,0.016549278,0.8424965,0.01106595,0.000026374151,0.00007830128,0.00010071041,0.05463155],"genre_scores_gemma":[0.6002971,0.059763446,0.013597204,0.29150245,0.016973037,0.00014836072,0.00009305059,0.0003348127,0.017290577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9901902,0.005573031,0.0002996872,0.0008951642,0.0022286617,0.00081316964],"domain_scores_gemma":[0.97734773,0.016924867,0.0013011879,0.0018591025,0.0017588523,0.00080823834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012600275,0.0008456583,0.0010339057,0.0022531515,0.009728311,0.01624082,0.0017600022,0.0081901755,0.0025282742],"category_scores_gemma":[0.013800654,0.00038122322,0.0008834931,0.0015331417,0.11456472,0.028711524,0.008216681,0.018534174,0.0007891016],"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":[0.000031001036,0.000016537591,0.0003484894,0.00018142624,0.000012371032,0.00019871161,0.033819363,0.000121735306,0.00028272904,0.92956096,0.021850245,0.013576528],"study_design_scores_gemma":[0.000012788146,0.00004051634,0.00052028114,0.00059533113,0.000013286273,0.0003134644,0.024400475,0.0002155133,0.00045869173,0.6721612,0.30121902,0.000049468646],"about_ca_topic_score_codex":0.0047167637,"about_ca_topic_score_gemma":0.005524759,"teacher_disagreement_score":0.01624082,"about_ca_system_score_codex":0.006154768,"about_ca_system_score_gemma":0.006294646,"threshold_uncertainty_score":0.0666374},"labels":[],"label_agreement":null},{"id":"W3112017538","doi":"10.1089/omi.2020.0208","title":"Rethinking Clinical Trials and Personalized Medicine with Placebogenomics and Placebo Dose","year":2020,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Pain Management and Placebo Effect","field":"Neuroscience","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":"","keywords":"Nocebo Effect; Nocebo; Placebo; Clinical trial; Medicine; Context (archaeology); Personalized medicine; Alternative medicine; Pharmacogenomics; Precision medicine; Psychiatry; Psychology; Pharmacology; Internal medicine; Bioinformatics; Pathology; Biology","score_opus":0.3023820757576051,"score_gpt":0.47183761870724134,"score_spread":0.16945554294963622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112017538","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003338536,0.1742456,0.20527418,0.55303144,0.039671507,0.0017169749,0.0008038271,0.0010353093,0.020882644],"genre_scores_gemma":[0.121074565,0.07850922,0.2891533,0.43736562,0.05942991,0.0074451338,0.0005943339,0.0011465646,0.0052813035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7721102,0.1787252,0.012242716,0.013450937,0.021899486,0.0015714922],"domain_scores_gemma":[0.41787142,0.5176581,0.012059022,0.035258222,0.014071548,0.003081726],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.35518593,0.0026420576,0.0073010535,0.004328262,0.0024698137,0.015199416,0.0063241078,0.015294263,0.012453517],"category_scores_gemma":[0.4351615,0.0018637904,0.0046102023,0.003922188,0.033053495,0.028451925,0.00857761,0.03431235,0.0037469119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019131976,0.0002893204,0.0016803136,0.0074269124,0.0027510913,0.0002549077,0.0030942603,0.0024367063,0.0010101683,0.5969457,0.060261995,0.32193536],"study_design_scores_gemma":[0.0014984763,0.0006472451,0.0008422039,0.00632594,0.0008084232,0.00013348025,0.0004172314,0.0020298113,0.00074076845,0.8486748,0.13768779,0.00019384937],"about_ca_topic_score_codex":0.0015844724,"about_ca_topic_score_gemma":0.0017810541,"teacher_disagreement_score":0.35518593,"about_ca_system_score_codex":0.008568374,"about_ca_system_score_gemma":0.009935475,"threshold_uncertainty_score":0.79517055},"labels":[],"label_agreement":null},{"id":"W3198668337","doi":"10.1089/omi.2021.0043","title":"Best Practice Guidance for Creation and Management of Innovations in Health care and Information and Communications Technologies","year":2021,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Legal, Health, Environmental and COVID-19 Challenges","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":"University of Toronto","funders":"","keywords":"General partnership; Information and Communications Technology; Best practice; Corporate governance; Business; Public relations; Dialog box; Knowledge management; Product (mathematics); Political science; Management; Economics; Computer science","score_opus":0.02683459786206902,"score_gpt":0.37060881187047184,"score_spread":0.3437742140084028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198668337","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032896532,0.013646623,0.25188038,0.5561608,0.0042058853,0.004982087,0.00036272252,0.0014252025,0.16404665],"genre_scores_gemma":[0.053281873,0.012745741,0.8554933,0.05044666,0.00096205366,0.0061289165,0.00049487693,0.00041401645,0.02003256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.72608876,0.20107313,0.015711563,0.007166675,0.041778576,0.00818124],"domain_scores_gemma":[0.75433147,0.15185602,0.0117813265,0.024391826,0.040973213,0.016666202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.15359184,0.003113673,0.0021975331,0.0087960465,0.008850153,0.025635784,0.010096771,0.03754756,0.0114358235],"category_scores_gemma":[0.20370644,0.0019642278,0.0034902755,0.0068633105,0.023943668,0.018189793,0.020658264,0.022096174,0.010212191],"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":[0.00007390752,0.00068817055,0.0013280632,0.0034965456,0.000077178134,0.0014187307,0.029951137,0.0027832582,0.0010620079,0.53625745,0.15666527,0.2661983],"study_design_scores_gemma":[0.00012695673,0.0001950458,0.0007877666,0.012392985,0.00005338204,0.00077697635,0.01111604,0.0013399775,0.0009158141,0.30466998,0.66747546,0.00014961256],"about_ca_topic_score_codex":0.014402154,"about_ca_topic_score_gemma":0.023412948,"teacher_disagreement_score":0.15359184,"about_ca_system_score_codex":0.018962275,"about_ca_system_score_gemma":0.113533586,"threshold_uncertainty_score":0.812281},"labels":[],"label_agreement":null},{"id":"W4322623768","doi":"10.1089/omi.2023.0003","title":"The Promises of Proteomics and Metabolomics for Unravelling the Mechanism and Side Effect Landscape of Beta-Adrenoceptor Antagonists in Cardiovascular Therapeutics","year":2023,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Computational Drug Discovery Methods","field":"Computer Science","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":"Continental (Canada)","funders":"","keywords":"Mechanism (biology); Medicine; Metabolomics; Systems pharmacology; Bioinformatics; Pharmacology; Proteomics; Drug; Computational biology; Biology","score_opus":0.05677464372913505,"score_gpt":0.36019143023239925,"score_spread":0.3034167865032642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322623768","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012775687,0.99612623,0.0010497194,0.001180196,0.0003140408,0.0000054586712,0.000018500099,0.000019195879,0.001158919],"genre_scores_gemma":[0.00082993513,0.99611276,0.0014394943,0.0005396468,0.00050074817,0.0000103307575,0.000030252966,0.0000054039783,0.0005314021],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994592,0.00012692194,0.000041879804,0.00007307416,0.0002565033,0.000042359123],"domain_scores_gemma":[0.9982369,0.001014641,0.00010933592,0.0000633322,0.00046546376,0.00011039003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019406194,0.0012369568,0.0017306034,0.0032223219,0.0003419298,0.0016317329,0.0011809748,0.0021595573,0.002865383],"category_scores_gemma":[0.0022650321,0.00038182078,0.00095977203,0.0026727861,0.0010003018,0.0032151912,0.001224561,0.0041212454,0.002136997],"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":[0.000062372776,0.00011463338,0.00024624652,0.009480757,0.00018158671,0.00016922822,0.00006807677,0.0010077271,0.0027360606,0.0225295,0.03316346,0.93024033],"study_design_scores_gemma":[0.000023975368,0.0001647818,0.00096859917,0.0034871104,0.00015056673,0.0010888582,0.00008685262,0.0009327124,0.001285899,0.01972497,0.97202647,0.00005907062],"about_ca_topic_score_codex":0.0010906211,"about_ca_topic_score_gemma":0.0015748282,"teacher_disagreement_score":0.0032223219,"about_ca_system_score_codex":0.0011143994,"about_ca_system_score_gemma":0.0015666664,"threshold_uncertainty_score":0.010263145},"labels":[],"label_agreement":null},{"id":"W4388539797","doi":"10.1089/omi.2023.0169","title":"From Microcosm to Macrocosm: The -Omics, Multiomics, and Sportomics Approaches in Exercise and Sports","year":2023,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"Arthritis Research Centre of Canada; University of Toronto","funders":"","keywords":"Psychological intervention; Athletes; Computer science; Data science; Big data; Omics; Bioinformatics; Psychology; Medicine; Biology","score_opus":0.04985892701641485,"score_gpt":0.32433765097548284,"score_spread":0.27447872395906797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388539797","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025268336,0.9930373,0.0023664385,0.0015599836,0.000666878,0.000009351411,0.000027276532,0.000023298524,0.0020567076],"genre_scores_gemma":[0.0026749962,0.99153394,0.0025070019,0.0012080661,0.0006603877,0.000024104842,0.00004617106,0.0000098365945,0.0013354506],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993747,0.00014677348,0.000046761183,0.000121454344,0.000260242,0.000050076655],"domain_scores_gemma":[0.99921906,0.0004203187,0.00006866188,0.000043660464,0.0001684826,0.000079924626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017263432,0.0012836105,0.0019005121,0.003472662,0.0006648945,0.0032881876,0.0013240731,0.0024135604,0.0023569881],"category_scores_gemma":[0.00097162894,0.00045747944,0.0009722132,0.0029175568,0.0029012784,0.004878405,0.002181673,0.0034978148,0.001454378],"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":[0.00009278183,0.000095521675,0.0005451578,0.014967298,0.00016601515,0.00035138332,0.00037391562,0.00091409753,0.00690764,0.059706576,0.023931084,0.8919485],"study_design_scores_gemma":[0.000009683518,0.00011105561,0.0011899193,0.0029154138,0.00006831532,0.0008252008,0.00035599785,0.00038089236,0.0020879533,0.027904438,0.96408993,0.00006109361],"about_ca_topic_score_codex":0.0019557655,"about_ca_topic_score_gemma":0.0025210872,"teacher_disagreement_score":0.003472662,"about_ca_system_score_codex":0.0017839312,"about_ca_system_score_gemma":0.0019297602,"threshold_uncertainty_score":0.012943447},"labels":[],"label_agreement":null},{"id":"W4394914530","doi":"10.1089/omi.2023.0278","title":"Blood-Based Multiomics-Guided Detection of a Precancerous Pancreatic Tumor","year":2024,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Jewish General Hospital; McGill University; University of British Columbia","funders":"","keywords":"Medicine","score_opus":0.03188301297624487,"score_gpt":0.36708602586536204,"score_spread":0.3352030128891172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394914530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7902682,0.041123193,0.12392112,0.014632137,0.0007713036,0.00025864068,0.0008945892,0.0027024806,0.025428345],"genre_scores_gemma":[0.9584998,0.005246083,0.030109972,0.002653046,0.0003905637,0.00004833816,0.00035534074,0.000098883225,0.0025979553],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976736,0.00006196575,0.000023690816,0.000060636747,0.000050255585,0.000036001056],"domain_scores_gemma":[0.9995701,0.00014575118,0.00008411508,0.000042721054,0.00007242852,0.00008485772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035591878,0.0003461191,0.00038809679,0.0016632836,0.00038995556,0.00080067775,0.00038577188,0.00086242607,0.0010127964],"category_scores_gemma":[0.0014119201,0.00023307119,0.00030948783,0.0005553555,0.00039808382,0.0007958178,0.0005402734,0.0010582232,0.0005223993],"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":[0.0017245362,0.00021608798,0.2660434,0.00060169725,0.00011735856,0.20351884,0.0010891076,0.0016634591,0.18565536,0.002689948,0.017749073,0.31893113],"study_design_scores_gemma":[0.00008507127,0.0013787017,0.16664083,0.0008931694,0.00038306927,0.44793865,0.0019317463,0.03422454,0.24266279,0.008257677,0.095417194,0.00018669234],"about_ca_topic_score_codex":0.0008970547,"about_ca_topic_score_gemma":0.0011809291,"teacher_disagreement_score":0.0016632836,"about_ca_system_score_codex":0.00037333427,"about_ca_system_score_gemma":0.00027498193,"threshold_uncertainty_score":0.0033881664},"labels":[],"label_agreement":null},{"id":"W483892705","doi":"10.1089/omi.2014.0151","title":"OMICS and 21st Century Brain Surgery from Education to Practice: James Rutka of the University of Toronto Interviewed by Joseph B. Martin (Boston) and Türker Kılıç (İstanbul)","year":2014,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Context (archaeology); Audience measurement; Memoir; Erasmus+; Medicine; Medical education; Library science; History; Art history; Law; Political science","score_opus":0.023442209578145697,"score_gpt":0.3498024895989433,"score_spread":0.3263602800207976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W483892705","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09299038,0.026676098,0.00063350034,0.86394954,0.0022920407,0.00009591746,0.00013315982,0.000037801292,0.013191564],"genre_scores_gemma":[0.76152086,0.02773365,0.0015782844,0.17391169,0.0010230698,0.00022740684,0.00010030651,0.00013117053,0.033773456],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.98176974,0.009538662,0.0004547781,0.00085028016,0.0026629134,0.004723531],"domain_scores_gemma":[0.971162,0.009917803,0.0019451728,0.00040243138,0.0038879071,0.012684598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010745184,0.0007682669,0.0008750924,0.0016254259,0.03706222,0.008919853,0.0023221218,0.009043907,0.004304147],"category_scores_gemma":[0.01813798,0.0013986649,0.00063915184,0.002640108,0.029461022,0.007385648,0.007440213,0.017437272,0.00053926837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023065504,0.000032126092,0.0017212856,0.00014714393,0.000008653294,0.001828034,0.8883337,0.00009359239,0.00041279502,0.007148564,0.095392056,0.004858979],"study_design_scores_gemma":[0.000005509515,0.000023352452,0.0032576981,0.0003853934,0.000007396413,0.00062497857,0.7876157,0.00007027534,0.00014451887,0.00065957307,0.2071415,0.00006408046],"about_ca_topic_score_codex":0.6405961,"about_ca_topic_score_gemma":0.75308734,"teacher_disagreement_score":0.6405961,"about_ca_system_score_codex":0.08270955,"about_ca_system_score_gemma":0.06318589,"threshold_uncertainty_score":0.723041},"labels":[],"label_agreement":null}]}