{"id":"W2002261049","doi":"10.1161/strokeaha.114.006837","title":"National Institutes of Health Stroke Scale Item Profiles as Predictor of Patient Outcome","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Medical Research Council","keywords":"Medicine; Confidence interval; Modified Rankin Scale; Latent class model; Stroke (engine); Odds ratio; Thrombolysis; Ordered logit; Cohort; Randomized controlled trial; Scale (ratio); Internal medicine; Statistics; Ischemic stroke","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":[0.008898115,0.0004702248,0.0006970303,0.001796995,0.0003077683,0.0007330326,0.0003817382,0.0005464309,0.001646843],"category_scores_gemma":[0.03731633,0.0001889759,0.001062128,0.001892303,0.0002986442,0.0007701104,0.0008893561,0.001136476,0.0003104637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185406,"about_ca_system_score_gemma":0.0007324619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006143639,"about_ca_topic_score_gemma":0.0006419944,"domain_scores_codex":[0.9954503,0.002577441,0.0006094592,0.0004034262,0.0007317724,0.0002274778],"domain_scores_gemma":[0.9698457,0.01498825,0.01014288,0.001713305,0.002102525,0.001207214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003604226,0.00002567039,0.9953957,0.00002118972,0.0002168416,0.00001347243,0.00001666852,0.0003145239,0.00004547658,0.00003630546,0.000193435,0.003360311],"study_design_scores_gemma":[0.00004680401,0.0002739441,0.9953055,0.00004207625,0.0001518175,0.0001586718,0.00004619665,0.003198266,0.0001214606,0.0003871107,0.0002541269,0.0000139578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938506,0.0007747511,0.002338138,0.0002586295,0.00003516511,0.00008267472,0.001632794,0.00002665276,0.001000571],"genre_scores_gemma":[0.9976968,0.0001044109,0.0009758484,0.00002852259,0.00001412435,0.00006619986,0.001043131,0.000004116187,0.00006667054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008898115,"threshold_uncertainty_score":0.04705828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755806027489505,"score_gpt":0.2862090050580559,"score_spread":0.2686509447831609,"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."}}