{"id":"W1526958050","doi":"10.1053/s0003-9993(03)00362-9","title":"A model to aid in the prediction of discharge location for stroke rehabilitation patients11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.","year":2003,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"St Joseph's Health Care","funders":"","keywords":"Rehabilitation; Logistic regression; Stroke (engine); Accommodation; Physical therapy; Psychology; Unit (ring theory); Explained variation; Gerontology; Medicine; Demography; Internal medicine","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":[0.001650973,0.0007065745,0.0007598621,0.001177615,0.0004094258,0.001244582,0.001066392,0.00111265,0.00695693],"category_scores_gemma":[0.005327473,0.000294843,0.0007073663,0.0006234822,0.000139894,0.0005572817,0.0005821419,0.001134455,0.001452095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009599339,"about_ca_system_score_gemma":0.001296128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227954,"about_ca_topic_score_gemma":0.02159147,"domain_scores_codex":[0.9997682,0.00008459946,0.00002108681,0.00005802393,0.00002524165,0.00004282098],"domain_scores_gemma":[0.9976329,0.001750887,0.0001068353,0.00005891924,0.0003220714,0.0001284832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003146836,0.001854351,0.1264468,0.000176599,0.0005841713,0.0003576682,0.0001471008,0.6448613,0.001138045,0.001749673,0.02267755,0.1968599],"study_design_scores_gemma":[0.00008240766,0.0001399611,0.005165539,0.00001669968,0.00004591644,0.00002302684,0.00002447871,0.9932076,0.000140197,0.0007400693,0.0004024614,0.00001161659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8189755,0.001120877,0.1573447,0.004970365,0.0007911131,0.0003607969,0.007831206,0.002889103,0.005716383],"genre_scores_gemma":[0.9704992,0.0002734596,0.02122414,0.0002254284,0.0001048051,0.000213873,0.003851784,0.00004342054,0.003563956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227954,"threshold_uncertainty_score":0.04532546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06522849652543179,"score_gpt":0.3426931306679138,"score_spread":0.277464634142482,"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."}}