{"id":"W4406517224","doi":"10.1016/j.scitotenv.2025.178458","title":"Evaluating sources of mercury in Canada's Mackenzie River","year":2025,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Trent University","funders":"Association Canadienne d’Anthropologie Physique; Global Affairs Canada","keywords":"Mercury (programming language); Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000323192,0.000338984,0.0001724622,0.001584934,0.001737462,0.001537409,0.0006285587,0.0002340004,0.0006149345],"category_scores_gemma":[0.0007667632,0.0001572262,0.0003884623,0.003035068,0.000451047,0.0003918757,0.0006523631,0.0002809643,0.00008632133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02736915,"about_ca_system_score_gemma":0.02975129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939514,"about_ca_topic_score_gemma":0.9974619,"domain_scores_codex":[0.9995434,0.00002871796,0.00001389195,0.00005841481,0.0002527151,0.0001028357],"domain_scores_gemma":[0.9993572,0.00006129991,0.00006110497,0.00001073661,0.0004477376,0.00006193713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001266383,0.00005231847,0.9368749,0.0002436368,0.0002165756,0.0004502777,0.00192198,0.01366022,0.002149441,0.002287491,0.002106153,0.03991039],"study_design_scores_gemma":[0.000007936421,0.00003364169,0.9764188,0.00009407641,0.0001365919,0.00006645731,0.005015437,0.007734165,0.001424318,0.0004010586,0.008636736,0.00003083398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9824508,0.001594042,0.0005179208,0.0003238631,0.000006557398,0.00004138731,0.003387949,0.00003263899,0.01164484],"genre_scores_gemma":[0.9914657,0.002503696,0.0009975422,0.00008222776,0.000004499,0.00001849113,0.001398961,0.00001324398,0.003515657],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02736915,"threshold_uncertainty_score":0.1985781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03918502076061237,"score_gpt":0.3069048065413226,"score_spread":0.2677197857807103,"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."}}