{"id":"W4324145947","doi":"10.1503/cmaj.230229","title":"March 2023 obituaries","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009159899,0.0008026983,0.0005963791,0.00146764,0.003240439,0.004745977,0.0009820473,0.002193226,0.6389245],"category_scores_gemma":[0.00779074,0.0004466433,0.0005974725,0.001218481,0.0005664711,0.001690896,0.002200519,0.003095319,0.4766221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002466119,"about_ca_system_score_gemma":0.003314872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05009046,"about_ca_topic_score_gemma":0.1113008,"domain_scores_codex":[0.9990603,0.00008726664,0.00006384491,0.0001016756,0.0004920657,0.0001948478],"domain_scores_gemma":[0.9968099,0.000255001,0.0001677596,0.0002016838,0.001827573,0.0007380812],"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":[0.00000623367,0.000001845281,0.00003941217,0.000009912817,4.712236e-7,0.00002256184,0.000009537492,0.000002141976,0.000008524139,0.000212696,0.9972153,0.002471319],"study_design_scores_gemma":[0.000002465673,0.000001762756,0.0001785703,0.00003611485,6.236225e-7,0.00002285937,0.000030379,0.000003050297,0.0000153246,0.00006504518,0.9996417,0.000002161397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000847724,0.004710602,0.0003301096,0.03386923,0.07914463,0.0001700327,0.01430727,0.001691876,0.8649285],"genre_scores_gemma":[0.002256467,0.001594706,0.0001397678,0.005802201,0.004499073,0.00005259317,0.004112366,0.0006149721,0.9809278],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6389245,"threshold_uncertainty_score":0.5150303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347117215911434,"score_gpt":0.2870181992998779,"score_spread":0.2735470271407636,"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."}}