{"id":"W2505001007","doi":"10.1007/s10018-019-00254-6","title":"Survival of the cleanest? Evidence from a plant-level analysis of pollutant emissions in Canadian pulp and paper industry, 2005–2013","year":2019,"lang":"en","type":"article","venue":"Environmental Economics and Policy Studies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pollutant; Greenhouse gas; Environmental science; Pulp (tooth); Natural resource economics; Production (economics); Emission intensity; Economics; Environmental engineering; Environmental economics; Agricultural economics; Engineering; Ecology; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003180678,0.0004369606,0.0004621835,0.001561496,0.001985101,0.002128386,0.001915441,0.000787158,0.002089587],"category_scores_gemma":[0.008325025,0.0002553823,0.0007888057,0.006387204,0.001723917,0.0008087927,0.001227379,0.001121975,0.0002005176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02047802,"about_ca_system_score_gemma":0.03426542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993522,"about_ca_topic_score_gemma":0.9968036,"domain_scores_codex":[0.9977266,0.000240649,0.0001149553,0.0003182274,0.0008611852,0.0007383007],"domain_scores_gemma":[0.9883636,0.001923886,0.002741949,0.0005608593,0.005336257,0.001073493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006451071,0.0001262635,0.9641443,0.0004338828,0.001079675,0.0002042842,0.00153319,0.001789982,0.0003915926,0.001358738,0.007259584,0.02103322],"study_design_scores_gemma":[0.00001295208,0.00003450044,0.9927183,0.000074891,0.0003636466,0.00001567652,0.001652792,0.00039771,0.0002209369,0.0001039979,0.004388513,0.00001605257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694207,0.008913822,0.0003539627,0.003049233,0.000037106,0.00003601111,0.00969703,0.00001570925,0.008476513],"genre_scores_gemma":[0.9913722,0.002872813,0.0001353611,0.0004074432,0.00001578899,0.000007711581,0.00364744,0.000006741264,0.001534338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02047802,"threshold_uncertainty_score":0.1485792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551104968291834,"score_gpt":0.2586745769035592,"score_spread":0.2331635272206409,"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."}}