{"id":"W4406578364","doi":"10.1016/s1544-8800(06)70834-x","title":"10.1016/s1544-8800(06)70834-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Risk assessment; Computer science; Computer security","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":["insufficient_payload"],"category_scores_codex":[0.0009660075,0.002497214,0.001637535,0.002509023,0.002182934,0.00325838,0.002749415,0.005355995,0.9897246],"category_scores_gemma":[0.001681283,0.0007911896,0.001275253,0.001815361,0.001449443,0.003976296,0.002855636,0.002493489,0.9920821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009691677,"about_ca_system_score_gemma":0.001150435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165991,"about_ca_topic_score_gemma":0.003656268,"domain_scores_codex":[0.999447,0.00003985083,0.00004355148,0.0001705332,0.0001586071,0.0001404247],"domain_scores_gemma":[0.9978967,0.000497071,0.0001298571,0.0001949277,0.0003989508,0.0008823795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003479261,0.0002622064,0.0007831324,0.000512729,0.00002863293,0.0002117835,0.00008732221,0.0003234623,0.001553674,0.003979474,0.4321263,0.5597835],"study_design_scores_gemma":[0.00005711408,0.00010406,0.0008618215,0.0002527484,0.00001122564,0.0002643519,0.0000921688,0.0001479515,0.0003168721,0.0004327916,0.9974402,0.00001869029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003737195,0.0003963965,0.0003975231,0.0004566198,0.0003412885,0.0000924027,0.0006638379,0.0006616921,0.9966164],"genre_scores_gemma":[0.00040333,0.0001678827,0.0002207191,0.0001761143,0.00007718439,0.00004054965,0.0002893856,0.0001007935,0.9985242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01027536,"threshold_uncertainty_score":0.01465648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006380367132447654,"score_gpt":0.2122559697832978,"score_spread":0.2058756026508501,"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."}}