{"id":"W2903696936","doi":"10.1212/wnl.0000000000006715","title":"Predicting stroke outcome","year":2018,"lang":"en","type":"letter","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stroke (engine); Medicine; Biomarker; Outcome (game theory); Disease; Intensive care medicine; Internal medicine; Physical therapy; Physical medicine and rehabilitation","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":[0.001269648,0.0004092293,0.0008501812,0.001301435,0.0007077472,0.001054394,0.0005434699,0.00261702,0.004542292],"category_scores_gemma":[0.01099355,0.0001439352,0.0003221987,0.000762465,0.0003626808,0.001257833,0.0005556679,0.003890792,0.003302389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119919,"about_ca_system_score_gemma":0.0008309045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247429,"about_ca_topic_score_gemma":0.003730545,"domain_scores_codex":[0.9990716,0.0003530199,0.0001321912,0.00008404612,0.0002185115,0.0001405523],"domain_scores_gemma":[0.9971923,0.001134616,0.0002777252,0.0001111049,0.00084864,0.0004356211],"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":[0.0003347375,0.0003526868,0.2202608,0.0002054376,0.0001056901,0.006662331,0.0003756338,0.000587301,0.0006066742,0.004866618,0.4319106,0.3337315],"study_design_scores_gemma":[0.000431788,0.001932784,0.361986,0.004531104,0.0003672212,0.05358193,0.002423085,0.01156033,0.001777855,0.09833969,0.462789,0.0002792287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.07372777,0.03359092,0.00723824,0.754849,0.01419611,0.0003405927,0.001594941,0.0003976539,0.1140647],"genre_scores_gemma":[0.6792692,0.03626586,0.0109495,0.1848316,0.06858731,0.0003951106,0.002647045,0.00009348532,0.01696088],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.004542292,"threshold_uncertainty_score":0.01519549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470663961424465,"score_gpt":0.2746728256022175,"score_spread":0.2499661859879728,"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."}}