{"id":"W4395108753","doi":"10.1016/j.aap.2024.107574","title":"Trajectories of health-related quality of life following road trauma: Latent growth mixture modeling across a 12-month cohort study","year":2024,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Cohort; Occupational safety and health; Poison control; Environmental health; Injury prevention; Quality (philosophy); Human factors and ergonomics; Cohort study; Transport engineering; Medicine; Psychology; Forensic engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007582603,0.0007465407,0.0007977183,0.0009523251,0.00147037,0.001698249,0.00154865,0.000922555,0.0020961],"category_scores_gemma":[0.01060066,0.0006224704,0.002245472,0.001821026,0.000573813,0.0008326077,0.001782905,0.002457944,0.0004972092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509401,"about_ca_system_score_gemma":0.002375234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1201125,"about_ca_topic_score_gemma":0.07890606,"domain_scores_codex":[0.9980195,0.0008294292,0.0001328229,0.0005244074,0.0001948656,0.0002991077],"domain_scores_gemma":[0.9954605,0.001100597,0.001023371,0.001276601,0.0006571053,0.0004819285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003603095,0.0001843325,0.9930821,0.00002291594,0.0005017931,0.00007314891,0.0004076947,0.0011296,0.0001413435,0.0001942564,0.0006580484,0.003244465],"study_design_scores_gemma":[0.00008015725,0.0003493274,0.9679976,0.00008293914,0.0005608049,0.0001920243,0.001208083,0.02751262,0.0001219125,0.0007083266,0.001141041,0.00004524883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938931,0.0002804467,0.003117785,0.0002847251,0.00002752051,0.00007399818,0.002123093,0.00002749218,0.0001717491],"genre_scores_gemma":[0.9919382,0.0002524006,0.002379715,0.00006214083,0.00001639037,0.0002257474,0.004444458,0.00001942282,0.0006614462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1201125,"threshold_uncertainty_score":0.2388267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05372170252148294,"score_gpt":0.3754354038195263,"score_spread":0.3217137012980434,"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."}}