{"id":"W1972578955","doi":"10.1177/1545968313520413","title":"Identifying Homogeneous Subgroups in Neurological Disorders","year":2014,"lang":"en","type":"article","venue":"Neurorehabilitation and neural repair","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; International Collaboration On Repair Discoveries; Vancouver Coastal Health","funders":"","keywords":"Recursive partitioning; Clinical trial; Logistic regression; Confidence interval; Homogeneous; Psychological intervention; Physical medicine and rehabilitation; Medicine; Computer science; Machine learning; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002945585,0.0001603245,0.0002719953,0.0002458843,0.00007021505,0.00002044528,0.00004645166,0.00009375587,0.00003397117],"category_scores_gemma":[0.001670811,0.0001332399,0.0002005003,0.0002716144,0.000176222,0.0001156166,0.00003398892,0.0002500513,0.00001202276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001525251,"about_ca_system_score_gemma":0.00001491312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000165751,"about_ca_topic_score_gemma":0.00004332488,"domain_scores_codex":[0.9984302,0.0002722141,0.000362225,0.0004730033,0.0002245461,0.0002378062],"domain_scores_gemma":[0.9984465,0.001073777,0.00005397873,0.000233321,0.00004387655,0.0001485632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000245029,0.0001859172,0.9628527,0.000159092,0.000005538493,0.00001272462,0.0003878307,0.00004769968,0.003027433,0.0007774385,0.0001276777,0.03217092],"study_design_scores_gemma":[0.001074352,0.001354623,0.9778165,0.00002139717,0.00001526654,0.00005570918,0.0001150344,0.01613931,0.00002822618,0.0009658249,0.002295893,0.000117896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947817,0.0001356658,0.00006592831,0.003318606,0.0003317916,0.0004412874,0.000001113727,0.000224265,0.0006996358],"genre_scores_gemma":[0.9970403,0.0000789461,0.000950453,0.001669105,0.0000584808,0.00003654685,0.000005757046,0.000019837,0.0001405673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03205302,"threshold_uncertainty_score":0.5433365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392995950144759,"score_gpt":0.2732679337258805,"score_spread":0.2593379742244329,"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."}}