{"id":"W7096579991","doi":"","title":"DEPRECIATION OF LIGHT DUTY ROAD VEHICLES: EVIDENCE FROM THE CANADIAN","year":2015,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Value (mathematics); Earnings before interest, taxes, depreciation, and amortization; Duty; Time value of money; Cost driver","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":[0.00188972,0.000427089,0.0005528532,0.005532947,0.003349494,0.002662249,0.002284622,0.000684795,0.005803011],"category_scores_gemma":[0.01571652,0.0004738943,0.0008196497,0.01311052,0.002042598,0.0008051132,0.001112263,0.001113837,0.0003598364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0520938,"about_ca_system_score_gemma":0.0791904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998178,"about_ca_topic_score_gemma":0.9986573,"domain_scores_codex":[0.995899,0.0001825714,0.0002535089,0.0002736193,0.002532533,0.0008588088],"domain_scores_gemma":[0.9730977,0.002882837,0.005060264,0.0007637977,0.01633018,0.001865187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004874161,0.0001076154,0.9377419,0.0008962432,0.0003139986,0.0005818275,0.003524514,0.0006016234,0.0002039307,0.003745857,0.01037757,0.04141749],"study_design_scores_gemma":[0.00002406489,0.00003448596,0.9845213,0.0003738361,0.0001842445,0.000153699,0.003309451,0.0001919351,0.0001984248,0.000153383,0.01081097,0.00004408034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168057,0.0166866,0.0002372185,0.00527084,0.00006247516,0.00009629338,0.01390018,0.00001923503,0.04692135],"genre_scores_gemma":[0.9760326,0.01705659,0.0001806516,0.0007130561,0.00002095888,0.00001643747,0.002778333,0.00001559278,0.003185858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0520938,"threshold_uncertainty_score":0.3779688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564045629553141,"score_gpt":0.2096930611707265,"score_spread":0.1840526048751951,"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."}}