{"id":"W2030645073","doi":"10.3109/09638288.2014.902510","title":"Discharge destination of individuals with severe stroke undergoing rehabilitation: a predictive model","year":2014,"lang":"en","type":"article","venue":"Disability and Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Western University; Lawson Health Research Institute","funders":"Stroke Association; Canadian Stroke Network","keywords":"Rehabilitation; Stroke (engine); Medicine; Logistic regression; Functional Independence Measure; Physical therapy; Telephone interview; Discharge planning; Caregiver burden; Physical medicine and rehabilitation; Dementia; Disease; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177544,0.000242987,0.0005058566,0.0001810993,0.0001504738,0.00002341091,0.00006556022,0.0001740328,0.00003026429],"category_scores_gemma":[0.005006289,0.0001869936,0.0001942295,0.00032808,0.001486847,0.0004419668,0.00003602792,0.000206155,0.000003179709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171093,"about_ca_system_score_gemma":0.0001544917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900596,"about_ca_topic_score_gemma":0.00003086637,"domain_scores_codex":[0.9976703,0.000324308,0.000647871,0.0005689681,0.0005509997,0.0002375734],"domain_scores_gemma":[0.9930008,0.005699922,0.0002427405,0.0004419464,0.0004411533,0.0001734041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006187299,0.0007356566,0.9736949,0.001735375,0.00007067408,7.544807e-8,0.004978782,0.002888629,0.0006083166,0.009893617,0.00006983375,0.004705452],"study_design_scores_gemma":[0.003028162,0.005273194,0.949958,0.0005663311,0.0001654635,0.00001490173,0.004700677,0.02586489,0.0001117529,0.009954779,0.0001253446,0.0002364642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793186,0.00005689091,0.01220361,0.00498144,0.00007194169,0.001331862,0.0000683984,0.0000922717,0.001875004],"genre_scores_gemma":[0.9433085,0.00001197444,0.05619389,0.00006851428,0.00005273249,0.0001314046,0.00006477127,0.00002498589,0.0001432573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04399028,"threshold_uncertainty_score":0.762538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008883349213405192,"score_gpt":0.2568865942726773,"score_spread":0.2480032450592721,"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."}}