{"id":"W7098062750","doi":"","title":"ORIGINAL INVESTIGATION ONLINE FIRST The PLAN Score A Bedside Prediction Rule for Death and Severe Disability Following Acute Ischemic Stroke","year":2012,"lang":"en","type":"article","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Cohort; Multivariate analysis; Clinical prediction rule; Ischemic stroke; Multivariate statistics; Acute stroke; Cohort study; MEDLINE","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":[0.001413267,0.0006737033,0.0008026845,0.0008948513,0.0003218668,0.001214121,0.0006438571,0.0006829762,0.01069566],"category_scores_gemma":[0.01467625,0.0001906097,0.0005902033,0.0005386688,0.000333701,0.0005896217,0.0004528001,0.0008857914,0.001705281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006551823,"about_ca_system_score_gemma":0.001948399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121448,"about_ca_topic_score_gemma":0.01744892,"domain_scores_codex":[0.9991983,0.0002861906,0.00007079134,0.00008915906,0.0002715928,0.00008410634],"domain_scores_gemma":[0.9955748,0.001835089,0.0007312284,0.000244372,0.001237138,0.0003773559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008466875,0.0002543039,0.9102871,0.0001026903,0.0003176117,0.0005020521,0.00003381931,0.004207085,0.0002262576,0.0004837052,0.02984219,0.05289654],"study_design_scores_gemma":[0.0009728599,0.001259469,0.8455406,0.0003321537,0.0006034032,0.003509402,0.0001937607,0.1293834,0.001586108,0.004499301,0.01203339,0.00008614577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356499,0.00169206,0.01535094,0.007397717,0.001338069,0.0005171584,0.013993,0.0006600932,0.02340103],"genre_scores_gemma":[0.9854467,0.0002499907,0.006191224,0.000583681,0.0005078446,0.00009795491,0.004309454,0.00002359106,0.002589627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121448,"threshold_uncertainty_score":0.03578055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133059995214256,"score_gpt":0.2761194718203842,"score_spread":0.2447888718682417,"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."}}