{"id":"W2916653843","doi":"10.1503/cmaj.109-5051","title":"10 health stories that mattered: Apr. 18–24","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003247227,0.0003778311,0.0002633026,0.001172767,0.0154598,0.008462355,0.000881075,0.008924115,0.03050628],"category_scores_gemma":[0.01135479,0.0003265506,0.0004420442,0.0009359212,0.005479773,0.002480589,0.003448416,0.008062129,0.004172867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01504545,"about_ca_system_score_gemma":0.009916272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2743385,"about_ca_topic_score_gemma":0.5905855,"domain_scores_codex":[0.99821,0.0004710726,0.00006729318,0.0001228933,0.0006149813,0.0005137385],"domain_scores_gemma":[0.9971085,0.0007617581,0.0001267394,0.00008897896,0.001100563,0.0008134739],"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":[0.0000654336,0.00001074355,0.001081205,0.00007686645,0.000007378458,0.0008555701,0.01911749,0.00001071932,0.0001580425,0.01177219,0.9558362,0.01100805],"study_design_scores_gemma":[0.000004247008,0.000008902778,0.002198925,0.0002236508,0.000004539369,0.0001625765,0.01471415,0.000005415769,0.000105795,0.0005526374,0.9820054,0.0000138036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01769013,0.02991937,0.0003019561,0.614547,0.07918568,0.0001357231,0.001930529,0.0001113837,0.2561782],"genre_scores_gemma":[0.1956534,0.01353167,0.0005387636,0.1981191,0.0193438,0.0001456186,0.0009679972,0.000226185,0.5714734],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2743385,"threshold_uncertainty_score":0.5454832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06880162660585032,"score_gpt":0.2639547206514939,"score_spread":0.1951530940456436,"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."}}