{"id":"W2913722867","doi":"10.1161/str.50.suppl_1.wp489","title":"Abstract WP489: Evaluation of Post-discharge Callback Data from Stroke Patients and Caregivers","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Medicine; Transitional care; Psychological intervention; Medical prescription; Hospital discharge; Emergency medicine; Stroke (engine); Health care; Callback; Discharge planning; Multidisciplinary approach; Family medicine; Medical emergency; Intensive care medicine; Nursing","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":[0.01033096,0.0005099066,0.0006666458,0.004298174,0.001390025,0.001301983,0.0008809977,0.0008101267,0.002300625],"category_scores_gemma":[0.03648268,0.0002819556,0.0006111431,0.002625164,0.0005258053,0.00104788,0.002041722,0.000694406,0.001130553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227931,"about_ca_system_score_gemma":0.002008203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006968354,"about_ca_topic_score_gemma":0.006535317,"domain_scores_codex":[0.9926387,0.002852919,0.001875299,0.0003726722,0.001703972,0.0005564264],"domain_scores_gemma":[0.9696582,0.01015653,0.004769823,0.002006277,0.01164055,0.001768604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001005257,0.001193165,0.9265378,0.0005672516,0.0001009155,0.0009843588,0.02077097,0.0002190615,0.001024784,0.00005836693,0.003035997,0.04450212],"study_design_scores_gemma":[0.00004913859,0.001023658,0.9736887,0.00009240157,0.000037451,0.0004453437,0.02117126,0.0004715393,0.0007318811,0.00003615375,0.002223319,0.00002908792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938959,0.00006698995,0.0003570257,0.000141326,0.00002398823,0.000924946,0.003162045,0.0000391827,0.001388657],"genre_scores_gemma":[0.9880828,0.0001461197,0.002000887,0.000153862,0.00003725763,0.002775033,0.005850953,0.00002206313,0.0009310073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033096,"threshold_uncertainty_score":0.054636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299439950166842,"score_gpt":0.3091318974621958,"score_spread":0.2761374979605273,"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."}}