{"id":"W2254500285","doi":"10.1161/str.46.suppl_1.wp12","title":"Abstract W P12: Baseline Predictors of the Malignant Collateral Profile in IMS III","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute","funders":"","keywords":"Medicine; Collateral circulation; Angiography; Univariate analysis; Logistic regression; Stroke (engine); Internal medicine; Radiology; Multivariate analysis; Cardiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000821782,0.0003263658,0.0004847774,0.0006767632,0.0003119855,0.0008347752,0.0003503961,0.0002272862,0.005045062],"category_scores_gemma":[0.003107677,0.0001249757,0.000573997,0.001100532,0.0002600565,0.0003613614,0.0008168311,0.0004727465,0.0009340303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909515,"about_ca_system_score_gemma":0.000616958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922589,"about_ca_topic_score_gemma":0.003436394,"domain_scores_codex":[0.9996434,0.00005713313,0.00006742967,0.000081126,0.00006606273,0.00008482187],"domain_scores_gemma":[0.9979529,0.0002997559,0.0009243079,0.000238394,0.0002154622,0.0003690716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003430061,0.00001418121,0.9975525,0.00001021389,0.00003824612,0.00004663472,0.00001527386,0.00007414225,0.0001575494,0.0000181012,0.0004720116,0.001258305],"study_design_scores_gemma":[0.000006497987,0.00004998253,0.9989014,0.00001127663,0.00002474617,0.000186867,0.00004366249,0.0003430646,0.00009680213,0.00004887249,0.0002840732,0.000002721592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915766,0.00007641147,0.000186916,0.00007193186,0.000005380309,0.00001353669,0.007204642,0.00001429763,0.000850301],"genre_scores_gemma":[0.9891972,0.00004615552,0.0001608293,0.00002341987,0.00001984793,0.00002120801,0.01026282,0.00001124655,0.0002572603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005045062,"threshold_uncertainty_score":0.01687741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169163114822528,"score_gpt":0.2542206748796616,"score_spread":0.2373043633974088,"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."}}