{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004109138,0.0007491519,0.0005711679,0.00151316,0.001681719,0.003454937,0.0009748547,0.004998204,0.7448376],"category_scores_gemma":[0.00291939,0.0003981502,0.0007087549,0.001325268,0.0004477813,0.001214589,0.001099684,0.004784391,0.5392188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113523,"about_ca_system_score_gemma":0.004367102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08131408,"about_ca_topic_score_gemma":0.1581382,"domain_scores_codex":[0.9994251,0.000023217,0.00002450441,0.00006194542,0.0003460024,0.0001192594],"domain_scores_gemma":[0.9978192,0.0001477113,0.00008718484,0.00009081554,0.0007834993,0.00107154],"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":[0.000009550388,0.000008929312,0.00003782223,0.00001926069,6.895731e-7,0.00001027748,0.000001864497,0.000002561281,0.00001394383,0.000104421,0.9930972,0.006693536],"study_design_scores_gemma":[0.00001912825,0.000003372124,0.0006954204,0.00004613019,0.000002040726,0.00001845363,0.0000127691,0.000008491386,0.00001420374,0.00007912214,0.9990966,0.000004277416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0003739095,0.005696287,0.0001665533,0.07938168,0.04069405,0.0001354206,0.006581602,0.001631117,0.8653392],"genre_scores_gemma":[0.002527576,0.004622531,0.0002372843,0.03889468,0.01161485,0.00008042984,0.003170076,0.000341967,0.9385105],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2551624,"threshold_uncertainty_score":0.3639581,"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."}}