{"id":"W4245090888","doi":"10.1503/cmaj.091198","title":"More news at cmaj.ca","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Data science","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":[0.002285845,0.0001174307,0.0003363898,0.0002117601,0.0003578898,0.00005056499,0.0001140214,0.0005532415,0.008066921],"category_scores_gemma":[0.002482617,0.00009796808,0.0001179935,0.0002771031,0.00001664742,0.00008959679,0.000005655788,0.001142484,0.0005447924],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003888494,"about_ca_system_score_gemma":0.0146692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02373336,"about_ca_topic_score_gemma":0.07690649,"domain_scores_codex":[0.9966779,0.000193096,0.0006142038,0.000157328,0.001592546,0.0007649686],"domain_scores_gemma":[0.9924538,0.00007736697,0.0002011666,0.0001398616,0.0004604575,0.006667408],"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":[0.000008484535,0.00002117475,0.1014495,0.00001594194,0.00002983555,0.0007448868,0.0004106495,2.032181e-7,0.000003919773,0.0002722923,0.7462158,0.1508273],"study_design_scores_gemma":[0.0007171273,0.0001346994,0.1839042,0.00008981118,0.000008160217,0.001719934,0.0002409833,0.00005802855,0.000001028048,0.0000510784,0.812999,0.00007588376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2132426,0.0003788793,0.00003918974,0.7487658,0.001093698,0.0002137842,0.00002022184,0.00003136167,0.03621446],"genre_scores_gemma":[0.7413647,0.0002645445,0.0001396577,0.2427803,0.006502511,0.000003180451,0.00003326267,0.0000178794,0.008893983],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5281221,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505354813050045,"score_gpt":0.3117473603720157,"score_spread":0.2966938122415152,"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."}}