{"id":"W3130164803","doi":"10.1021/es803138z.s001","title":"Multi Year Total and Methyl Mercury Exports from Two Major Sub Arctic Rivers Draining into Hudson Bay, Canada","year":2009,"lang":"en","type":"article","venue":"Figshare","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Mercury (programming language); Arctic; Oceanography; The arctic; Geography; Environmental science; Physical geography; 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":[0.0002607775,0.0003444444,0.0003051193,0.001002121,0.001408179,0.00105512,0.0004671766,0.0002261824,0.001015417],"category_scores_gemma":[0.000547285,0.0002546466,0.0002672434,0.001665675,0.0003499363,0.0003017264,0.0006286476,0.0003327067,0.0001812379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009737134,"about_ca_system_score_gemma":0.006775711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745025,"about_ca_topic_score_gemma":0.9921305,"domain_scores_codex":[0.99978,0.000008957965,0.00001220519,0.00006343942,0.00008601742,0.00004943005],"domain_scores_gemma":[0.9991972,0.00004374045,0.0001072792,0.00002125758,0.000506847,0.0001237309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001547035,0.0000215675,0.9866149,0.00002985187,0.00007531417,0.0002592738,0.001044908,0.0002392336,0.002455723,0.000060939,0.001008047,0.008035641],"study_design_scores_gemma":[0.000002356318,0.00001102472,0.9974096,0.000006143299,0.00001517037,0.000035242,0.0007574895,0.0002300468,0.000319827,0.000006463333,0.00120068,0.000006008332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948928,0.00009624427,0.00008419197,0.00004339539,0.000004994871,0.000007611592,0.003499777,0.00001179858,0.001359105],"genre_scores_gemma":[0.9862906,0.0002972332,0.0004795798,0.00009702459,0.000006376803,0.0000159672,0.006777369,0.00001478861,0.006021034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0254975,"threshold_uncertainty_score":0.07064819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210588469529244,"score_gpt":0.251534051923379,"score_spread":0.2294281672280866,"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."}}