{"id":"W2037421758","doi":"10.1177/0270467606295405","title":"An Evaluation of the AirCare Program Based on Cost-Benefit and Cost-Effectiveness Analyses","year":2006,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Environmental science; Cost effectiveness; Cost–benefit analysis; Pollutant; Environmental economics; Air quality index; Cost analysis; Cost benefit; Waste management; Environmental engineering; Business; Operations management; Engineering; Risk analysis (engineering); Operations research; Economics; Meteorology; Chemistry","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":[0.01278188,0.001277389,0.001917135,0.003693039,0.000397916,0.001350021,0.0009986502,0.001570166,0.004677909],"category_scores_gemma":[0.03293923,0.0003949316,0.003750311,0.001990549,0.0006554826,0.001032478,0.0007164935,0.001065686,0.0001839024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005573235,"about_ca_system_score_gemma":0.004290245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007780532,"about_ca_topic_score_gemma":0.006048199,"domain_scores_codex":[0.9764139,0.01868177,0.0006072369,0.0003820562,0.003331446,0.0005836639],"domain_scores_gemma":[0.981828,0.01467663,0.001140443,0.0003201297,0.001436366,0.0005984033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1480006,0.007823844,0.02355141,0.008672733,0.008398251,0.000524755,0.0002361866,0.3216854,0.003313443,0.01304813,0.003211585,0.4615338],"study_design_scores_gemma":[0.06282949,0.2634521,0.1155498,0.004533402,0.03163404,0.001295009,0.0009339764,0.4752561,0.01139534,0.01338021,0.01929552,0.0004450569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758455,0.02140949,0.04340447,0.002534134,0.0004188354,0.02265477,0.003288104,0.0002428698,0.03020189],"genre_scores_gemma":[0.9847199,0.002535686,0.008580392,0.0002074278,0.00006566557,0.002638998,0.0003742281,0.00001175786,0.0008660605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01278188,"threshold_uncertainty_score":0.06759781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946251483869407,"score_gpt":0.3285116845242478,"score_spread":0.2990491696855537,"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."}}