{"id":"W3159196716","doi":"10.1097/htr.0000000000000687","title":"Vocational Outcomes After Traumatic Brain Injury; Prevalence and Risk Factors After 1 Year in a Multivariable Model","year":2021,"lang":"en","type":"article","venue":"Journal of Head Trauma Rehabilitation","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"National Institute for Health and Care Research","keywords":"Medicine; Traumatic brain injury; Depression (economics); Population; Injury prevention; Cohort; Poison control; Pediatrics; Demography; Emergency medicine; 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":[0.001448334,0.0001850677,0.0005110944,0.0004017734,0.00003989143,0.00004251892,0.00008090852,0.0001312078,0.0002699235],"category_scores_gemma":[0.004215168,0.0001472487,0.0001791557,0.0003295817,0.000143499,0.0004592359,0.00002717533,0.0005624346,0.00000759953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396383,"about_ca_system_score_gemma":0.0003382789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003592044,"about_ca_topic_score_gemma":0.00007161131,"domain_scores_codex":[0.9973832,0.0003810776,0.0009644621,0.0002649472,0.0007398325,0.0002664664],"domain_scores_gemma":[0.9968147,0.002002109,0.000240411,0.000276196,0.0004740097,0.0001925221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001152425,0.0006250913,0.9834586,0.000823923,0.00009230935,0.00002603384,0.008640169,0.0001746186,0.0003978538,0.00008677784,0.0001375057,0.004384709],"study_design_scores_gemma":[0.002591169,0.0006437827,0.9886733,0.0007109586,0.00008647632,0.0000501522,0.001544411,0.003448339,0.0001276835,0.00196665,0.00003051107,0.0001266178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946605,0.0003076582,0.0007030463,0.003660861,0.00007360023,0.0004404892,0.00004506151,0.00001074134,0.00009803478],"genre_scores_gemma":[0.959847,0.00004009492,0.03960721,0.0001084059,0.00003518481,0.00005319444,0.000004387434,0.00002547485,0.000279091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03890416,"threshold_uncertainty_score":0.6004627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191902766147582,"score_gpt":0.3632998497547156,"score_spread":0.3213808220932398,"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."}}