{"id":"W2809538810","doi":"10.1111/risa.13130","title":"Bayesian Analysis of Air Emission Violations from Waste Incineration and Coincineration Plants","year":2018,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; U.S. Environmental Protection Agency","keywords":"Incineration; Air pollution; European union; Air quality index; Commission; Harm; Risk analysis (engineering); Environmental economics; Business; Environmental planning; Engineering; Waste management; Environmental science; Economics; Economic policy; Finance; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004423237,0.0001004044,0.0003195473,0.0003092028,0.0003109009,0.00001632897,0.00006902039,0.00008058712,0.001457316],"category_scores_gemma":[0.00009779711,0.00008612921,0.000106562,0.001831359,0.00009940423,0.0002176019,0.00004665612,0.00007192712,0.00002620344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007281785,"about_ca_system_score_gemma":0.0000120561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01511896,"about_ca_topic_score_gemma":0.02421216,"domain_scores_codex":[0.9987386,0.0001805235,0.0003883317,0.000273586,0.0002762307,0.0001426673],"domain_scores_gemma":[0.9991531,0.0001056202,0.0002927038,0.0002717313,0.00002372582,0.000153105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003125738,0.0000456253,0.9555774,0.000002343042,0.0008751132,3.384956e-7,0.002436654,0.03177508,0.003243115,0.00001226076,0.0007522575,0.005248546],"study_design_scores_gemma":[0.00008431281,0.00002995624,0.4997213,0.000002612882,0.002286667,5.052096e-8,0.0001560559,0.4964948,0.000937357,0.0001106946,0.0001182368,0.00005804603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977033,0.00002677611,0.1013449,0.000324342,0.00001552547,0.00006554708,0.0001246635,0.00001506178,0.0003798745],"genre_scores_gemma":[0.9966672,0.0001040173,0.002485399,0.0002519019,0.00006393436,0.000002345752,0.0003231927,0.000004247181,0.00009775289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4647197,"threshold_uncertainty_score":0.9994555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511123416260264,"score_gpt":0.2880221864732871,"score_spread":0.2729109523106845,"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."}}