{"id":"W7044314857","doi":"","title":"VOLATILE ORGANIC COMPOUNDS FROM AUTOMOTIVE MANUFACTURING","year":2005,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Christian ministry; Volatile organic compound; General motors; Pollution prevention; Air pollution; Clean Air Act; Air quality index","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":[0.000171326,0.0003968526,0.0001966726,0.001697342,0.001274158,0.00129806,0.0003824474,0.0004608143,0.00837875],"category_scores_gemma":[0.0003241023,0.0001527099,0.000312617,0.002104705,0.0001869677,0.0003148339,0.0007040117,0.0005345191,0.003120732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403412,"about_ca_system_score_gemma":0.002941929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08982813,"about_ca_topic_score_gemma":0.1867543,"domain_scores_codex":[0.9994891,0.00001138864,0.00001215065,0.00003194705,0.0003779572,0.00007744959],"domain_scores_gemma":[0.9998479,0.000007013295,0.00001590277,0.000008043673,0.0001030257,0.00001820927],"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":[0.000367522,0.0002632817,0.02869428,0.003639622,0.0001393474,0.004401124,0.0009583645,0.001142766,0.2782158,0.005639103,0.06227194,0.6142669],"study_design_scores_gemma":[0.00001770942,0.0002802358,0.06617364,0.0004060258,0.00005620742,0.0010853,0.0009609613,0.0002994413,0.07080299,0.0009007204,0.8589692,0.00004759819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4332565,0.1469913,0.004955544,0.003949759,0.002125033,0.0005476148,0.01859674,0.0003280605,0.3892495],"genre_scores_gemma":[0.7158726,0.0906223,0.003218036,0.001989977,0.0004452658,0.00008520903,0.02221629,0.00006122171,0.1654891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08982813,"threshold_uncertainty_score":0.1786106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006517658795250274,"score_gpt":0.1843754017624646,"score_spread":0.1778577429672143,"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."}}