{"id":"W4255008415","doi":"10.1503/cmaj.090662","title":"Clarification","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science","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":[0.009984933,0.002199369,0.002084784,0.003937993,0.00484805,0.008844852,0.004743183,0.01556052,0.4901575],"category_scores_gemma":[0.1113585,0.0009665388,0.002444883,0.002251353,0.002963456,0.007581122,0.005811234,0.01247997,0.3584412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00393741,"about_ca_system_score_gemma":0.006140266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179503,"about_ca_topic_score_gemma":0.003575439,"domain_scores_codex":[0.9849305,0.003643853,0.002007303,0.002087598,0.005556809,0.001773917],"domain_scores_gemma":[0.9541359,0.01549409,0.001926835,0.00627154,0.01976411,0.002407542],"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":[0.0000190922,0.000006063772,0.00002200233,0.00008470016,0.000001666219,0.0000497646,0.00004800364,0.000008592875,0.00004251958,0.002215439,0.9898658,0.007636429],"study_design_scores_gemma":[0.0000118269,0.00000976133,0.00008938066,0.0002161318,0.00000216701,0.000079309,0.0001019269,0.00002331943,0.00006835188,0.001187795,0.998201,0.000008943015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0004859509,0.003438032,0.002618985,0.2274182,0.5227368,0.0006543844,0.005002936,0.002466924,0.2351777],"genre_scores_gemma":[0.007303401,0.002836825,0.003599595,0.213799,0.09870102,0.001338107,0.004676263,0.001570811,0.6661751],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4901575,"threshold_uncertainty_score":0.7272285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147583236711906,"score_gpt":0.2307955875328894,"score_spread":0.2236480042961775,"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."}}