{"id":"W2912952990","doi":"10.1503/cmaj.181235","title":"Dear Mrs. P","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Weakness; Medicine; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230072,0.0005781435,0.0006428987,0.001208188,0.003651293,0.002736553,0.0009995545,0.002699622,0.177844],"category_scores_gemma":[0.01553667,0.0003285201,0.0004401447,0.000479337,0.001212894,0.001882574,0.00165422,0.006594846,0.08484755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898244,"about_ca_system_score_gemma":0.00287624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008387101,"about_ca_topic_score_gemma":0.01204678,"domain_scores_codex":[0.9989529,0.0002241513,0.00004385044,0.0001484685,0.0004490816,0.0001815638],"domain_scores_gemma":[0.9913804,0.0003682462,0.0002777008,0.0001449452,0.004858701,0.002970017],"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":[0.0000142624,0.00001334833,0.0004017164,0.0000395645,0.000002868107,0.0004129159,0.0002171067,0.000004873086,0.00007042697,0.000383755,0.988423,0.01001607],"study_design_scores_gemma":[0.00001119896,0.00004742982,0.001817435,0.0003222559,0.000008404146,0.006578018,0.002538772,0.00002452745,0.0001459298,0.0007104937,0.9877667,0.00002862446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005128376,0.01789954,0.001090435,0.7407338,0.08543337,0.0001668357,0.0007884095,0.0006665834,0.1480926],"genre_scores_gemma":[0.03847774,0.02443796,0.001402423,0.2961872,0.02215023,0.0001909775,0.0005946438,0.0004740796,0.6160848],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.177844,"threshold_uncertainty_score":0.5949475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003360245695360174,"score_gpt":0.2269460762817902,"score_spread":0.22358583058643,"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."}}