{"id":"W2073001601","doi":"10.2118/2003-111","title":"Improving Air Quality and Reducing Greenhouse Gases With Incinerators","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Incineration; Air quality index; Waste management; Environmental science; Combustion; Engineering; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001304833,0.000162302,0.0001483221,0.0001424811,0.0001245649,0.00008726151,0.0001567899,0.00005521901,0.0006378901],"category_scores_gemma":[0.0001130506,0.0001545148,0.00002444596,0.00004971077,0.0001269372,0.0002184222,0.00001996333,0.0001323614,0.00004354462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738218,"about_ca_system_score_gemma":0.0002055923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4020495,"about_ca_topic_score_gemma":0.528825,"domain_scores_codex":[0.9989647,0.00005486396,0.000194341,0.0003132557,0.0001974133,0.0002753856],"domain_scores_gemma":[0.999315,0.00004011988,0.00007777511,0.000176839,0.00005215381,0.0003380648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001810441,0.0001602991,0.5337158,0.0001211301,0.0004283705,0.000417896,0.002648397,0.02051123,0.0139143,0.4045608,0.00222974,0.02111093],"study_design_scores_gemma":[0.00508964,0.0006964547,0.5532092,0.0004449098,0.0001326394,0.0004356788,0.006620094,0.01059206,0.02368912,0.003661082,0.3923393,0.003089746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536453,0.00008059252,0.00009098104,0.0005088042,0.0002086367,0.00003605899,0.00005024805,0.00003363207,0.04534568],"genre_scores_gemma":[0.9969226,0.00002574297,0.0004108406,0.0004975892,0.00007466987,0.00001277286,0.00003533505,0.00001761823,0.002002846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4008997,"threshold_uncertainty_score":0.6984449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001473532349206,"score_gpt":0.2337833770608353,"score_spread":0.2137686417373432,"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."}}