{"id":"W7084252950","doi":"","title":"Determinants of Economic Costs Following Road Traffic Injuries in Canada: A Quantile Regression Forests Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Productivity; Quantile; Economic cost; Regression analysis; Linear regression; Poison control; Baseline (sea); Rank (graph theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003031264,0.0004990367,0.0004950834,0.001680243,0.0006602473,0.0009969254,0.001281074,0.000473154,0.001987333],"category_scores_gemma":[0.01093497,0.0002748909,0.0011322,0.002048725,0.0004332334,0.0005250596,0.0007049079,0.001259992,0.0001846287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004415589,"about_ca_system_score_gemma":0.004959696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8160244,"about_ca_topic_score_gemma":0.6850117,"domain_scores_codex":[0.999134,0.0002866622,0.00004736645,0.0001788993,0.0001291887,0.0002237957],"domain_scores_gemma":[0.9957891,0.002197616,0.0004970277,0.0002202025,0.00108497,0.0002110318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001780057,0.00008197189,0.9229358,0.00005564477,0.0002443383,0.0001467477,0.0002388003,0.04806712,0.0001083523,0.001395904,0.002387136,0.02416013],"study_design_scores_gemma":[0.00001292145,0.0000328004,0.5669813,0.00007567032,0.0001172982,0.00007765627,0.000610503,0.4281497,0.0001434544,0.002427141,0.001341434,0.0000299904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972844,0.001140605,0.01819859,0.001130547,0.00002955292,0.00008807547,0.00535058,0.0001189818,0.00109904],"genre_scores_gemma":[0.9943182,0.0002004788,0.002676516,0.00004322427,0.00001025162,0.00002887538,0.002261036,0.00001297374,0.000448524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839756,"threshold_uncertainty_score":0.3701182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111140656026558,"score_gpt":0.4946513452858801,"score_spread":0.3835372796832243,"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."}}