{"id":"W2004469591","doi":"10.1021/es990688j","title":"Degradation as a Loss Mechanism in the Fate of α-Hexachlorocyclohexane in Arctic Watersheds","year":2000,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"National Institute for Materials Science","keywords":"Meltwater; Environmental science; Arctic; Hydrology (agriculture); Surface runoff; STREAMS; Snowmelt; Arctic char; Snow; Environmental chemistry; Trout; Salvelinus; Ecology; Geology; Oceanography; Chemistry; Fish <Actinopterygii>; Fishery; Biology; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001629594,0.0001592614,0.0001495779,0.0004069539,0.0005938386,0.0005967487,0.0001087129,0.0001599235,0.0004645649],"category_scores_gemma":[0.0002125185,0.00019632,0.0001339792,0.0005516752,0.0002380487,0.0002025773,0.0001973118,0.0001460668,0.0001028233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549659,"about_ca_system_score_gemma":0.001071614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1343935,"about_ca_topic_score_gemma":0.1859349,"domain_scores_codex":[0.9998642,0.00001158387,0.000007215303,0.00002989337,0.00004213559,0.00004480013],"domain_scores_gemma":[0.999885,0.00001201288,0.00003341053,0.00000349356,0.00004678426,0.00001945547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007686242,0.00008678118,0.5808594,0.0000677639,0.00004763559,0.00029561,0.0006562158,0.001376716,0.4038659,0.0002060649,0.0001170095,0.01165222],"study_design_scores_gemma":[0.000007662621,0.0001144163,0.9619908,0.000005097435,0.00002229496,0.0001453214,0.0004985493,0.001790027,0.03475686,0.00004644785,0.0006167458,0.000005770523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999579,0.00006379855,0.00006013185,0.00000569143,2.960523e-7,0.000002597112,0.00004664598,0.000002336232,0.0002394905],"genre_scores_gemma":[0.9989808,0.0001464023,0.0002454041,0.000007659431,8.921041e-7,0.000005473521,0.0001891095,0.000001697168,0.0004225364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1343935,"threshold_uncertainty_score":0.2672225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004629596111881151,"score_gpt":0.2087903095131688,"score_spread":0.2041607134012877,"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."}}