{"id":"W3129421859","doi":"","title":"Fate of mercury entering lakes and ponds in the Canadian High Arctic: Role of biological and geochemical drivers","year":2009,"lang":"en","type":"article","venue":"Geochimica et Cosmochimica Acta Supplement","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Arctic; The arctic; Oceanography; Environmental science; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169732,0.0002253731,0.0003315905,0.0004596153,0.002755924,0.001221178,0.0003385578,0.0003333468,0.0007244114],"category_scores_gemma":[0.0004282293,0.0001678362,0.0002975437,0.0007595479,0.0005321553,0.000425448,0.0005642602,0.0002665724,0.00008837966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01453909,"about_ca_system_score_gemma":0.01692362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9614989,"about_ca_topic_score_gemma":0.9834005,"domain_scores_codex":[0.9997764,0.00001782728,0.00000800705,0.00004407559,0.00007524974,0.00007853982],"domain_scores_gemma":[0.999631,0.00002670772,0.00004116114,0.000008444941,0.0002511325,0.00004164861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001330169,0.00008495143,0.8975759,0.0001638735,0.0001623676,0.0003605051,0.003277104,0.002792713,0.06989173,0.0006617075,0.001145474,0.02255365],"study_design_scores_gemma":[0.00001578445,0.0001335911,0.9789732,0.00001869337,0.00009613261,0.0001053923,0.004519634,0.002599364,0.01007487,0.0001897128,0.003246395,0.00002718997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983737,0.0001753566,0.00009318378,0.00006296147,0.000003038774,0.000006814198,0.000210183,0.000004481031,0.001070158],"genre_scores_gemma":[0.9973144,0.0004244375,0.0002981786,0.00002924731,0.000001341407,0.000004305614,0.0001693493,0.000003915199,0.001754941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03850108,"threshold_uncertainty_score":0.105489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342547775936584,"score_gpt":0.243702748739312,"score_spread":0.2302772709799461,"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."}}