{"id":"W2038508252","doi":"10.1159/000362591","title":"Posttreatment Variables Improve Outcome Prediction after Intra-Arterial Therapy for Acute Ischemic Stroke","year":2014,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Cohort; Internal medicine; Logistic regression; Stroke (engine); Solitaire Cryptographic Algorithm; Confidence interval; Prospective cohort study; Cohort study; Cardiology; Surgery; Modified Rankin Scale; Ischemic stroke; Ischemia","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":[0.002247426,0.0006274811,0.0004564625,0.0006740881,0.0002156883,0.000793686,0.0004578127,0.00045887,0.001866101],"category_scores_gemma":[0.008931359,0.0001226598,0.0005986171,0.000516773,0.0002519858,0.0004930102,0.0005157878,0.0007986036,0.0004379001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266929,"about_ca_system_score_gemma":0.0005625319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441966,"about_ca_topic_score_gemma":0.002549997,"domain_scores_codex":[0.9991089,0.0004392403,0.0001012781,0.0001259583,0.00015685,0.00006785485],"domain_scores_gemma":[0.9951469,0.002241619,0.001536116,0.0002997155,0.0005008815,0.0002747148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006385549,0.0002752799,0.9785147,0.00002050171,0.0001877848,0.00002482401,0.00003355307,0.001049659,0.0001173123,0.00003215058,0.0005043205,0.01860136],"study_design_scores_gemma":[0.00006307443,0.000785335,0.9847557,0.00002168897,0.0001853297,0.0001124082,0.0000479186,0.01297473,0.0004569738,0.000235764,0.0003485792,0.00001252901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972842,0.0002589186,0.00108245,0.0001594315,0.00002009176,0.00003243405,0.0003360999,0.00003582198,0.0007905562],"genre_scores_gemma":[0.9983333,0.00009185487,0.0006708591,0.00003507638,0.00002291555,0.00001605597,0.0006681546,0.00000568181,0.0001561141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002247426,"threshold_uncertainty_score":0.01188564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007620085192628399,"score_gpt":0.2475667550777156,"score_spread":0.2399466698850872,"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."}}