{"id":"W4406552070","doi":"10.1016/s1553-3212(09)70090-1","title":"10.1016/s1553-3212(09)70090-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Antithrombotic; Stroke (engine); Medicine; Anesthesia; Cardiology","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":[0.001083588,0.002470561,0.001785116,0.002539415,0.002252928,0.003463455,0.002733438,0.005814094,0.9882368],"category_scores_gemma":[0.001884135,0.0007821326,0.00129297,0.0017543,0.001647731,0.004569971,0.002858533,0.002586313,0.9917601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111394,"about_ca_system_score_gemma":0.001342902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003655537,"about_ca_topic_score_gemma":0.003021036,"domain_scores_codex":[0.9993748,0.00004717867,0.00005688674,0.0002020603,0.0001678016,0.0001513041],"domain_scores_gemma":[0.9979467,0.0004935696,0.0001382958,0.0001913887,0.0003857223,0.0008444037],"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":[0.0005026802,0.000291603,0.001016367,0.0005459261,0.00003383399,0.000302494,0.00009740197,0.0004962006,0.001633959,0.00485991,0.4074481,0.5827715],"study_design_scores_gemma":[0.00007550739,0.0001351236,0.000871981,0.0002972872,0.00001272274,0.0004387461,0.0001057494,0.0002343476,0.0003201934,0.0006871815,0.9967986,0.0000226812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004843892,0.0004632632,0.0004909568,0.0005645188,0.0003639489,0.000104614,0.000717821,0.0007023602,0.9961081],"genre_scores_gemma":[0.0006029523,0.0002110559,0.0003038341,0.0002841742,0.00009569194,0.00005730732,0.0003909225,0.0001224493,0.9979317],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01176316,"threshold_uncertainty_score":0.01677871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004781227124489722,"score_gpt":0.1794583570425263,"score_spread":0.1746771299180366,"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."}}