{"id":"W7132948582","doi":"","title":"Mercury Levels and Mercury Methylation and Demethylation Rate Potentials in Canadian High Arctic Sea Ice","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Mercury (programming language); Methylation; Demethylation; Sea ice; Arctic; The arctic; Seawater","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002868035,0.0002556503,0.0001623126,0.001086877,0.001803652,0.0009063856,0.0003546714,0.0001954081,0.001043654],"category_scores_gemma":[0.0004759439,0.0001429771,0.0002145974,0.001661335,0.0003861624,0.0001942746,0.0003062848,0.0002771999,0.0001321669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01486769,"about_ca_system_score_gemma":0.009594039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9806569,"about_ca_topic_score_gemma":0.9891983,"domain_scores_codex":[0.9997984,0.000006159551,0.00000637123,0.00003580092,0.00009661124,0.00005673728],"domain_scores_gemma":[0.9996891,0.00002023592,0.00002667496,0.00000600684,0.0002186601,0.00003928459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001503337,0.0001805294,0.8557817,0.0002716617,0.0002883866,0.0002293631,0.003603461,0.00373524,0.07876318,0.001163701,0.002370629,0.05210881],"study_design_scores_gemma":[0.00000381063,0.00004280618,0.9863991,0.00001112478,0.0000449904,0.00002605116,0.0009162256,0.0004936469,0.009035,0.00005677982,0.00295465,0.00001586122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947359,0.0004469816,0.00007543383,0.00004407567,0.00000312885,0.000007636943,0.001176624,0.000006386433,0.003503858],"genre_scores_gemma":[0.9935382,0.0005065874,0.000296696,0.00001960651,0.00000148616,0.000007033783,0.001379903,0.000006198341,0.004244221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01934308,"threshold_uncertainty_score":0.1078731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645487716020718,"score_gpt":0.3181690055603423,"score_spread":0.2917141284001352,"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."}}