{"id":"W3199325474","doi":"","title":"Air quality and emissions reduction initiatives at the City of Calgary","year":2001,"lang":"en","type":"article","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Air quality index; Environmental science; Quality (philosophy); Reduction (mathematics); Air pollution; Environmental planning; Meteorology; Geography; Chemistry","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":[0.0005101101,0.0002976095,0.0003079767,0.0007224903,0.006978283,0.002695583,0.001474264,0.001466357,0.004929191],"category_scores_gemma":[0.001747854,0.0004411983,0.0002330967,0.001839023,0.002213254,0.0006130201,0.003021778,0.001660068,0.0003460957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02269776,"about_ca_system_score_gemma":0.04904942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8795162,"about_ca_topic_score_gemma":0.9590581,"domain_scores_codex":[0.9987699,0.0002062333,0.00001639837,0.0001153046,0.0002567653,0.0006353045],"domain_scores_gemma":[0.9987143,0.0001133595,0.0001014211,0.00004474076,0.000407987,0.0006181085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001071073,0.001564446,0.6238687,0.00101108,0.000311792,0.006102874,0.03831251,0.01696922,0.0149184,0.01552432,0.06802676,0.2123188],"study_design_scores_gemma":[0.00006858759,0.0001787281,0.9248872,0.0001192504,0.00004192027,0.0001147628,0.03825696,0.001051298,0.001079925,0.0005620351,0.03359988,0.00003929372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9675051,0.000580756,0.0003470112,0.007228928,0.00008462663,0.0001158188,0.0004435912,0.00006017546,0.02363384],"genre_scores_gemma":[0.9692585,0.0008545534,0.001100368,0.001632407,0.00005534256,0.00007420294,0.0005075827,0.00003347342,0.02648351],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1204838,"threshold_uncertainty_score":0.2423867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813121409183091,"score_gpt":0.292761505777522,"score_spread":0.2546302916856911,"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."}}