{"id":"W4249497208","doi":"10.1503/cmaj.051439","title":"News @ a glance:","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Diverse Scientific Research Studies","field":"Health Professions","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":false,"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":[0.0003504144,0.0008033174,0.0004092917,0.0005694499,0.002360177,0.003505865,0.0008529368,0.003860711,0.7956284],"category_scores_gemma":[0.001843357,0.0004222444,0.0006513589,0.0006312365,0.000369071,0.002699262,0.001732994,0.003532419,0.711518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006883987,"about_ca_system_score_gemma":0.0008434782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009985163,"about_ca_topic_score_gemma":0.02504509,"domain_scores_codex":[0.9997033,0.00002205249,0.000009856642,0.00003359712,0.0001486519,0.00008249467],"domain_scores_gemma":[0.9992378,0.00007962302,0.00002455617,0.00005976185,0.0003437221,0.000254578],"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":[0.000008479305,0.000006363893,0.0000245776,0.00001434812,3.91457e-7,0.00001717142,0.00001181743,0.000003686765,0.00002962615,0.0002042511,0.9932786,0.006400702],"study_design_scores_gemma":[0.000003964824,0.000003755933,0.0001845723,0.00002272079,8.016756e-7,0.00001607523,0.00005699416,0.000008835988,0.0000374349,0.00007553308,0.9995865,0.000002853286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004039338,0.0007432242,0.0002385711,0.02024853,0.01157913,0.00008305918,0.00234915,0.001757285,0.9625971],"genre_scores_gemma":[0.000889417,0.000338312,0.0001162943,0.007277468,0.0008937526,0.00002400954,0.0006656409,0.0003242117,0.989471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7956284,"threshold_uncertainty_score":0.2915112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331007158458583,"score_gpt":0.4125934764149859,"score_spread":0.3692834048304001,"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."}}