{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004725951,0.001043976,0.0008445285,0.00148348,0.0008338101,0.001756587,0.002268068,0.001689995,0.0045028],"category_scores_gemma":[0.007804312,0.0008234551,0.002950359,0.001306198,0.0004304625,0.001000348,0.001485611,0.002914813,0.0009464911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004903061,"about_ca_system_score_gemma":0.001461553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245634,"about_ca_topic_score_gemma":0.006855306,"domain_scores_codex":[0.9981424,0.000679002,0.0001064401,0.0004265853,0.0002476611,0.0003979154],"domain_scores_gemma":[0.9962943,0.001361907,0.0008059511,0.0003813131,0.0004332519,0.000723173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005830557,0.0002693181,0.9942163,0.00002405225,0.0008814746,0.0001662114,0.00007882927,0.001249626,0.00008091635,0.00007210011,0.000868309,0.001509733],"study_design_scores_gemma":[0.0001450169,0.0007113943,0.9393174,0.00007224255,0.001069132,0.0006115335,0.0005437915,0.05584409,0.00009997015,0.0003715624,0.001176548,0.00003737229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954821,0.0005745218,0.001488253,0.0005898218,0.0001077956,0.00003744674,0.001033445,0.00007357365,0.0006130203],"genre_scores_gemma":[0.9974086,0.0001612466,0.0005328038,0.00004707022,0.00007703993,0.0000592377,0.0008010897,0.0000182562,0.0008945508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02245634,"threshold_uncertainty_score":0.04465127,"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."}}