{"id":"W3152847844","doi":"10.1016/s2589-7500(21)00057-1","title":"Who does the model learn from?","year":2021,"lang":"en","type":"letter","venue":"The Lancet Digital Health","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Scopus; Medicine; Artificial intelligence; Transplantation; MEDLINE; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007662401,0.000448455,0.0008980094,0.00005697665,0.0006286755,0.001458344,0.004692931,0.0003419125,0.00002409522],"category_scores_gemma":[0.0002227207,0.0002144792,0.0002061322,0.0003770333,0.0001514041,0.0004002178,0.001181519,0.005180658,0.0001645415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649323,"about_ca_system_score_gemma":0.00106469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012694,"about_ca_topic_score_gemma":0.0001471471,"domain_scores_codex":[0.9956357,0.0007041264,0.0005576176,0.0009266015,0.000959223,0.001216715],"domain_scores_gemma":[0.9944794,0.001344914,0.0004817976,0.003442981,0.0001214784,0.0001294779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003477313,0.000008200254,0.0003186217,0.0002180515,0.00002674987,0.00005288792,0.001311685,0.0004920398,4.179017e-8,0.002301315,0.9569625,0.03830447],"study_design_scores_gemma":[0.0001511562,0.00004730269,0.0003770537,0.0002869015,0.000004715252,0.00002985997,0.00003109432,0.09405077,7.267742e-7,0.02820163,0.8765051,0.00031371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001984276,0.001760493,0.01763135,0.971598,0.00104238,0.0004593731,0.0003566832,0.0004035359,0.006549723],"genre_scores_gemma":[0.004447272,0.0003613956,0.001778863,0.9723164,0.008705891,0.00004954649,0.0003448994,0.00007282616,0.01192294],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09355872,"threshold_uncertainty_score":0.9995782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05194977297370292,"score_gpt":0.3134808197677292,"score_spread":0.2615310467940263,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}