{"id":"W4404491983","doi":"10.1503/cmaj.241619","title":"November 2024 obituaries","year":2024,"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; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008498779,0.00008883388,0.0001792813,0.0001935803,0.000117086,0.0001423031,0.00007886965,0.0003242469,0.02466889],"category_scores_gemma":[0.0008130361,0.00006861409,0.0001386204,0.0002275233,0.00002754931,0.0000911239,0.000009532192,0.001072951,0.0005810177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100976,"about_ca_system_score_gemma":0.003627423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009775278,"about_ca_topic_score_gemma":0.005664588,"domain_scores_codex":[0.9983615,0.00002980377,0.0002722542,0.0001132004,0.000883924,0.0003393623],"domain_scores_gemma":[0.9984151,0.0001005338,0.0000395751,0.0000712,0.0001447944,0.001228816],"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":[0.000002513499,0.0000075831,0.02205188,0.00002241565,0.0001184647,0.002423882,0.000151795,1.562632e-7,0.000006518831,0.00350048,0.9317736,0.0399407],"study_design_scores_gemma":[0.0001954158,0.00003824459,0.0159414,0.000175708,0.00004380485,0.001666041,0.00008728344,0.0003482011,0.00001669917,0.0005998524,0.98081,0.00007737386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05117959,0.005508326,0.002617228,0.6686454,0.01033091,0.0003763937,0.00005347933,0.0004614223,0.2608273],"genre_scores_gemma":[0.783783,0.0007279987,0.001301356,0.07629505,0.008206431,0.00001198034,0.0000206262,0.00006499681,0.1295886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7326034,"threshold_uncertainty_score":0.9762227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008110635120301692,"score_gpt":0.2715010142675768,"score_spread":0.2633903791472751,"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."}}