{"id":"W4388376529","doi":"10.17816/eid611012","title":"In memory of Alexander Markusovich Bronshtein","year":2023,"lang":"en","type":"article","venue":"Epidemiology and Infectious Diseases","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medical school; Classics; Epidemiology; Medicine; Gerontology; Library science; Family medicine; History; Medical education; Pathology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001776333,0.0001007503,0.000602576,0.0002765529,0.00005532951,0.000001193815,0.00002708542,0.0001631819,0.000269622],"category_scores_gemma":[0.002591332,0.0000817059,0.00006416316,0.0003593821,0.000129284,0.0000591121,0.0000275217,0.0001784506,0.00003220511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003712289,"about_ca_system_score_gemma":0.0003328878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00278073,"about_ca_topic_score_gemma":0.0002428547,"domain_scores_codex":[0.9981459,0.000665161,0.0005342101,0.0002354779,0.0000584426,0.0003608346],"domain_scores_gemma":[0.9980922,0.001282875,0.0001026247,0.0001780897,0.00004828098,0.0002958899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004452745,0.00006890063,0.9642904,0.0006119118,0.00002359721,0.00002385572,0.0001000627,0.000007779399,0.00001206988,0.003018447,0.02510422,0.006694201],"study_design_scores_gemma":[0.0008064554,0.0002542814,0.9834267,0.00009786857,0.00001493341,0.00006316883,0.00009621572,0.0001885797,0.000003036502,0.002801424,0.01218074,0.00006657169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781965,0.002707042,0.00003229332,0.01019587,0.0002513802,0.0003546625,0.00002086005,0.0001045597,0.008136851],"genre_scores_gemma":[0.9934475,0.001066273,0.0000165666,0.004158947,0.0001800857,0.00004215179,0.00002930038,0.0000105362,0.001048672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191363,"threshold_uncertainty_score":0.420365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0475345202568899,"score_gpt":0.3842267591017966,"score_spread":0.3366922388449067,"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."}}