{"id":"W7115816179","doi":"","title":"FACTORS INFLUENCING AIR QUALITY HEALTH INDEX ADOPTION","year":2016,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Scale (ratio); Equity (law); Socioeconomic status; Air quality index; Public health; Intervention (counseling); Index (typography); Health equity; Relevance (law)","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":[0.004198578,0.0001582638,0.0002363182,0.0007970656,0.001511743,0.001949467,0.000694193,0.0007087117,0.004858243],"category_scores_gemma":[0.02390043,0.0002585403,0.0006603562,0.001814839,0.0007582602,0.0008523709,0.001219849,0.001694905,0.0003326648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00309179,"about_ca_system_score_gemma":0.007944993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2584843,"about_ca_topic_score_gemma":0.2926522,"domain_scores_codex":[0.9964999,0.000789611,0.0004075523,0.0003494382,0.001311478,0.0006419749],"domain_scores_gemma":[0.984387,0.005141138,0.004637351,0.0006827592,0.003193312,0.001958546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003306015,0.0001280721,0.983559,0.0000647184,0.00003131249,0.00006626459,0.00544716,0.00008481847,0.0001305534,0.0004352926,0.000873381,0.009146415],"study_design_scores_gemma":[0.000003305876,0.0000430043,0.9900433,0.000102733,0.00001545119,0.00003955309,0.006610631,0.0002297292,0.00005990683,0.0001017457,0.002741467,0.000009125955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862868,0.0007241323,0.0004050116,0.002509173,0.00004653187,0.0001468681,0.0005526695,0.00001088972,0.009317852],"genre_scores_gemma":[0.9975201,0.0004968608,0.0004071783,0.0001552186,0.00001719661,0.000038194,0.0002358225,0.000005552233,0.001123768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2584843,"threshold_uncertainty_score":0.5139595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405372382679541,"score_gpt":0.2876867313677909,"score_spread":0.2436330075409955,"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."}}