{"id":"W2473740456","doi":"10.1007/978-3-319-24478-5_30","title":"Variability in Ozone Metrics with Emission Reductions and Its Application in Health Impact Assessment","year":2016,"lang":"en","type":"book-chapter","venue":"Springer proceedings in complexity","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ozone; Environmental science; Metric (unit); Air quality index; Atmospheric sciences; Meteorology; Geography; Engineering","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":[0.001964295,0.0006664498,0.0006221039,0.001361097,0.0002715836,0.001682821,0.00087211,0.0006804665,0.001855654],"category_scores_gemma":[0.01026314,0.0003366436,0.001033802,0.002642363,0.0005901091,0.001710338,0.001091671,0.001517667,0.0003957636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007993619,"about_ca_system_score_gemma":0.0004099774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520673,"about_ca_topic_score_gemma":0.002243113,"domain_scores_codex":[0.9987998,0.0003348188,0.00006159943,0.0002372496,0.0005230466,0.00004345907],"domain_scores_gemma":[0.9970013,0.002163523,0.0002991153,0.0002607575,0.0002399257,0.00003529251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001128124,0.0001109873,0.02124706,0.000441763,0.0002608617,0.0002920075,0.0003203756,0.2815861,0.005810903,0.1529877,0.01717124,0.5196583],"study_design_scores_gemma":[0.000005746402,0.0001345059,0.03068443,0.0001684871,0.0000882798,0.0004252827,0.0001774413,0.5769348,0.003899204,0.3515901,0.0358027,0.00008892274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06905508,0.01917747,0.8621845,0.002903783,0.0008589868,0.00007653201,0.002103222,0.0009233062,0.04271721],"genre_scores_gemma":[0.7900075,0.01090482,0.181932,0.0003899942,0.001230899,0.0001711589,0.001922677,0.0006387429,0.01280226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002520673,"threshold_uncertainty_score":0.01038831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07406425344479227,"score_gpt":0.3540032321742396,"score_spread":0.2799389787294473,"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."}}