{"id":"W2961181319","doi":"10.1161/circoutcomes.119.005493","title":"Michigan Stroke Transitions Trial","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"College of Engineering, Michigan State University; Strong; Michigan State University","keywords":"Medicine; Stroke (engine); Randomized controlled trial; Psychological intervention; Quality of life (healthcare); Physical therapy; Rehabilitation; Clinical trial; Mental health; Stroke recovery; Gerontology; Nursing; Psychiatry; 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":[0.0007553453,0.0001315734,0.0006121229,0.0001268287,0.00007865991,0.00002669473,0.00003071371,0.0001253852,0.0001318106],"category_scores_gemma":[0.0001550562,0.0001117208,0.001290006,0.0001130922,0.00005557764,0.000114541,0.000009563589,0.0001320655,0.00007180196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002941617,"about_ca_system_score_gemma":0.000053098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002336669,"about_ca_topic_score_gemma":0.000003015444,"domain_scores_codex":[0.9985573,0.0002000569,0.0003667249,0.0002959578,0.0004326082,0.0001473358],"domain_scores_gemma":[0.9991283,0.0001809361,0.00005012319,0.0004402661,0.00008772612,0.0001126596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00215662,0.0002229764,0.9704323,0.0005271504,0.003378351,0.000005917237,0.001243104,0.0006158049,0.00211549,0.005604039,0.00002813219,0.01367006],"study_design_scores_gemma":[0.02372786,0.00007968235,0.9694053,0.00002290175,0.00033115,0.00001860001,0.0005339128,0.0001199567,0.00005357699,0.0001475633,0.005409336,0.0001501728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914809,0.0009432855,0.002502602,0.001262081,0.0006252469,0.0009892976,0.00002002488,0.00007872595,0.00209781],"genre_scores_gemma":[0.9983084,0.00004528998,0.0002715243,0.000570975,0.0001342793,0.0000195389,0.00005103241,0.00001376018,0.0005851792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02157124,"threshold_uncertainty_score":0.4555841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390328546438897,"score_gpt":0.3156251817084466,"score_spread":0.2765923270645569,"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."}}