{"id":"W1717612736","doi":"10.1161/str.45.suppl_1.tp295","title":"Abstract T P295: Identifying Unmet Needs 30-days Following Ischemic Stroke: The Post Stroke Checklist","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Checklist; Modified Rankin Scale; Physical therapy; Depression (economics); Hospital Anxiety and Depression Scale; Barthel index; Intervention (counseling); Anxiety; Montreal Cognitive Assessment; Activities of daily living; Ischemic stroke; Cognition; Internal medicine; Cognitive impairment; Psychiatry; 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":[0.002909963,0.0005529628,0.0005912926,0.001849566,0.0006242715,0.000506789,0.001281004,0.000750112,0.008945138],"category_scores_gemma":[0.01268774,0.0002258356,0.0008758031,0.001058986,0.0002770976,0.001151154,0.001285253,0.0008952501,0.001763512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311482,"about_ca_system_score_gemma":0.002828129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003911541,"about_ca_topic_score_gemma":0.007430697,"domain_scores_codex":[0.9979075,0.0007952783,0.0005724319,0.00006097875,0.0004232001,0.0002404949],"domain_scores_gemma":[0.9895125,0.002819422,0.002519976,0.0002638953,0.003400654,0.001483604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001323777,0.002026985,0.5018937,0.003036658,0.0002877344,0.001170364,0.003284494,0.00218123,0.001339211,0.0007403672,0.2328278,0.2498877],"study_design_scores_gemma":[0.0003491741,0.001545443,0.9713885,0.0006336257,0.00005267162,0.0009111805,0.001858835,0.001480897,0.0005253685,0.0005200789,0.02065441,0.00007983948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915459,0.001464967,0.005458563,0.006277673,0.0005249414,0.01988335,0.04321639,0.0007462536,0.03088189],"genre_scores_gemma":[0.9154047,0.001507504,0.02415844,0.001358844,0.0002804096,0.01938457,0.03131137,0.00008757372,0.006506446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008945138,"threshold_uncertainty_score":0.02992445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426720659532901,"score_gpt":0.2804336689551673,"score_spread":0.2661664623598383,"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."}}