{"id":"W4396557672","doi":"10.1177/02692155241249345","title":"The impact of stroke on employment income: A cohort study using hospital and income tax data in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Clinical Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University; University of Ottawa","funders":"Institut canadien d'information sur la santé; Social Sciences and Humanities Research Council of Canada","keywords":"Cohort; Medicine; Income tax; Demographic economics; Stroke (engine); Business; Environmental health; Economics; Labour economics; Public economics; Internal medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00237655,0.0001420474,0.0004262306,0.000128201,0.00005228133,0.00003201032,0.0001302729,0.0000797207,0.00003113281],"category_scores_gemma":[0.005267678,0.00008760745,0.0001397551,0.000212933,0.0002049784,0.0001182158,0.0001096437,0.0004341277,0.000001697148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247068,"about_ca_system_score_gemma":0.002057845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8006747,"about_ca_topic_score_gemma":0.8429511,"domain_scores_codex":[0.9976695,0.0002921612,0.000952912,0.0004694874,0.0004432233,0.0001727682],"domain_scores_gemma":[0.9906387,0.008318257,0.000115018,0.0006963885,0.0001054112,0.0001262329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002436596,0.0004973388,0.9939483,0.00005094002,0.000163207,0.000009066295,0.0005725443,0.00004583695,0.00001241348,0.00002269339,0.0002820408,0.00415196],"study_design_scores_gemma":[0.0009953995,0.005606529,0.9894788,0.0003193005,0.00007054237,0.000001821166,0.001150925,0.001956322,7.747694e-7,0.0001124355,0.0002232252,0.00008393314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967085,0.0001810205,0.000008145937,0.0006155843,0.0007197122,0.001613594,0.00005677345,0.00001422025,0.00008249238],"genre_scores_gemma":[0.9993023,0.0000203541,0.000323211,0.00001903728,0.00005696741,0.00002847126,0.00002245533,0.00001509879,0.0002121565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0422764,"threshold_uncertainty_score":0.6306283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751332460698355,"score_gpt":0.4002041331162543,"score_spread":0.3626908085092708,"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."}}