{"id":"W1983559535","doi":"10.1021/es034157d","title":"Global Gridded Emission Inventories of β-Hexachlorocyclohexane","year":2003,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Hexachlorocyclohexane; Environmental science; Lindane; Environmental chemistry; Biota; Persistent organic pollutant; Atmosphere (unit); Contamination; Tonne; Environmental engineering; Pesticide; Meteorology; Chemistry; Geography; Ecology","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":[0.000181973,0.0004232555,0.0001894457,0.0005402667,0.0001019099,0.0003159678,0.0002380348,0.0002333004,0.001077273],"category_scores_gemma":[0.0004352205,0.0002208178,0.0004438493,0.001251072,0.00009744342,0.0003406522,0.0002109285,0.0002105335,0.0001984035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006326998,"about_ca_system_score_gemma":0.0003882371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03581761,"about_ca_topic_score_gemma":0.0259123,"domain_scores_codex":[0.9999411,0.00001065619,0.000006872706,0.00001867205,0.00001368665,0.000008903031],"domain_scores_gemma":[0.9998332,0.0000303947,0.00003205572,0.00003955191,0.00005433831,0.00001044256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003626333,0.000109622,0.2410134,0.0001985307,0.0005820074,0.0002560972,0.00006875755,0.6976019,0.004672654,0.001639964,0.00729191,0.04620256],"study_design_scores_gemma":[0.0002154758,0.0001726399,0.4967239,0.00007154535,0.0003330204,0.0003012353,0.0002780694,0.4283133,0.01295997,0.005111724,0.05541897,0.0001002157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975187,0.0003642244,0.01111978,0.0002390914,0.00007362789,0.00005599462,0.08504685,0.0007860633,0.004795755],"genre_scores_gemma":[0.8915308,0.0006163318,0.01136966,0.00006512086,0.00001384541,0.00009596551,0.09419239,0.00005100857,0.002064913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03581761,"threshold_uncertainty_score":0.07121831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005016620001060772,"score_gpt":0.2186494062229856,"score_spread":0.2136327862219248,"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."}}