{"id":"W2014998343","doi":"10.1016/j.scitotenv.2014.06.054","title":"Special issue on mercury in Canada's North","year":2015,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; Environment and Climate Change Canada; Carleton University","funders":"","keywords":"Mercury (programming language); Environmental science; Geography; Environmental ethics; Computer science; Philosophy","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":[0.001951392,0.002089048,0.001870327,0.003893304,0.006603862,0.00634491,0.00331759,0.008638136,0.05301389],"category_scores_gemma":[0.003180388,0.0006149134,0.001207703,0.003400505,0.00233529,0.001927751,0.002329176,0.00433388,0.006105645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01509571,"about_ca_system_score_gemma":0.04027818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4901677,"about_ca_topic_score_gemma":0.8164685,"domain_scores_codex":[0.9983929,0.00006607373,0.00009226995,0.0001547568,0.0008798496,0.000414082],"domain_scores_gemma":[0.9941874,0.0005908607,0.0002600041,0.0002156869,0.002988447,0.0017577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002098497,0.00001267051,0.0001436003,0.0001546007,0.000004810937,0.0001070448,0.0000276816,0.00002801108,0.0001010008,0.0002547809,0.9942932,0.004851485],"study_design_scores_gemma":[0.000006831631,0.000009487051,0.001718235,0.0001744785,0.00001161123,0.00007688341,0.0001253006,0.00002370654,0.00005991262,0.0002479149,0.9975374,0.000008290764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001148223,0.0382645,0.0001456241,0.1075018,0.8098189,0.0001134241,0.001611066,0.000135525,0.04126095],"genre_scores_gemma":[0.01080758,0.04658224,0.0003638781,0.05132809,0.57608,0.0001138406,0.001835455,0.000216758,0.3126721],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.5098323,"threshold_uncertainty_score":0.9746292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649061989270499,"score_gpt":0.218193034318447,"score_spread":0.201702414425742,"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."}}