{"id":"W7020852132","doi":"","title":"Methodology for the Canadian Activase for Stroke Effectiveness Study (CASES). CASES Investigators.","year":2001,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tissue plasminogen activator; Recombinant tissue plasminogen activator; Stroke (engine); Thrombolysis; Fibrinolytic agent; Acute stroke; T-plasminogen activator","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06191468,0.001941979,0.002155198,0.008206712,0.002536128,0.002613283,0.003066995,0.001580193,0.1756819],"category_scores_gemma":[0.1844959,0.001985256,0.00301972,0.01279301,0.00145656,0.001577338,0.004006233,0.00343997,0.02157123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006015718,"about_ca_system_score_gemma":0.03316589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1057433,"about_ca_topic_score_gemma":0.1331273,"domain_scores_codex":[0.9524249,0.02159412,0.00862867,0.004434903,0.01021005,0.002707417],"domain_scores_gemma":[0.9249079,0.02358584,0.007946157,0.01628524,0.02476012,0.002514852],"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":[0.003403857,0.0006165165,0.009596764,0.004726477,0.0006306515,0.0002114542,0.002050622,0.001166262,0.0003985489,0.02218813,0.7869974,0.1680133],"study_design_scores_gemma":[0.006966309,0.0009742512,0.04992002,0.002861174,0.0009931775,0.0002289394,0.001547134,0.003618584,0.001024677,0.01879519,0.9128425,0.0002281452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00828902,0.001331118,0.105701,0.006394378,0.005415635,0.3599333,0.462251,0.003260105,0.04742442],"genre_scores_gemma":[0.01396409,0.0003091639,0.1185486,0.001756053,0.0003212975,0.8164161,0.03450217,0.0007085958,0.01347393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8942567,"threshold_uncertainty_score":0.5877147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.187709190084959,"score_gpt":0.3735713290199879,"score_spread":0.1858621389350289,"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."}}