{"id":"W3128587524","doi":"","title":"DIOXIN: GENERATION, TOXICITY, IMPACT ON PUBLIC HEALTH, ABATEMENT","year":2021,"lang":"en","type":"article","venue":"AIJR Abstracts","topic":"Human Health and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Smarter Alloys (Canada)","funders":"","keywords":"Public health; Environmental health; Business; Environmental planning; Natural resource economics; Environmental science; Economics; Medicine","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":[0.001100551,0.0006461266,0.0003279086,0.002894383,0.0006212065,0.001689113,0.0004030621,0.0009876154,0.007709248],"category_scores_gemma":[0.0007360381,0.0001606149,0.0002907595,0.001751129,0.0005314468,0.0005634806,0.0004324835,0.0003258413,0.001850535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774108,"about_ca_system_score_gemma":0.001549277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008101283,"about_ca_topic_score_gemma":0.007440509,"domain_scores_codex":[0.9996644,0.00008558218,0.00002988836,0.00004119574,0.0001418228,0.0000370938],"domain_scores_gemma":[0.9997397,0.00005675803,0.00007042691,0.0000129181,0.00008168839,0.00003857009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005522528,0.00112046,0.124709,0.005756601,0.0004750637,0.002275629,0.000761775,0.01616467,0.09236266,0.04689647,0.04063765,0.6633174],"study_design_scores_gemma":[0.000357633,0.009958918,0.3170137,0.0007377261,0.001159579,0.006599398,0.002160227,0.009269989,0.09502637,0.04962052,0.5079405,0.000155493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.528809,0.2725703,0.01325141,0.02698537,0.002320649,0.0002907818,0.01088758,0.0006685383,0.1442164],"genre_scores_gemma":[0.8137447,0.0921865,0.003407343,0.001110712,0.001474493,0.00006640126,0.00214701,0.00004135021,0.08582146],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008101283,"threshold_uncertainty_score":0.02578998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100614406929855,"score_gpt":0.3866288565892188,"score_spread":0.2860144496593637,"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."}}