{"id":"W4242587356","doi":"10.24124/2015/bpgub1076","title":"Mercury, sulfur-metabolizing bacteria and organic matter in the sediments of subarctic Kusawa Lake, Yukon.","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Mercury (programming language); Environmental chemistry; Sediment; Methylmercury; Sulfate; Sulfur; Sulfate-reducing bacteria; Trophic state index; Organic matter; Environmental science; Ecology; Chemistry; Eutrophication; Nutrient; Geology; Biology","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":[0.0001373804,0.0002738326,0.0002001079,0.0006684356,0.0008005786,0.0005579686,0.0002046011,0.0003011801,0.0003928943],"category_scores_gemma":[0.0002091914,0.0002064994,0.000186711,0.001193417,0.000447831,0.0002759376,0.0006390397,0.0001808754,0.0001127818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028158,"about_ca_system_score_gemma":0.001769427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3230815,"about_ca_topic_score_gemma":0.4372143,"domain_scores_codex":[0.9999021,0.000008727136,0.000009704232,0.00002572677,0.00001678512,0.00003698611],"domain_scores_gemma":[0.9998977,0.000007884426,0.00002176611,0.00000336219,0.00004526386,0.00002396298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002142629,0.00007261596,0.9608593,0.000120243,0.0001390542,0.0001992631,0.003284792,0.0002525944,0.02601467,0.00009397974,0.0003219225,0.008427409],"study_design_scores_gemma":[0.000001347668,0.00002352417,0.9979327,0.000004824036,0.00001395843,0.00002144978,0.001461038,0.00005519769,0.0002529371,0.00001361728,0.0002174173,0.000001991768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990941,0.0003137306,0.00002572565,0.00003111747,0.000003065031,0.000004169156,0.0002253815,0.000001668465,0.0003010843],"genre_scores_gemma":[0.9981851,0.000418566,0.0001096478,0.00003398677,0.000002278129,0.000007287574,0.0004470126,0.000001521715,0.0007945957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6769185,"threshold_uncertainty_score":0.6424019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719274015961201,"score_gpt":0.2721897209657945,"score_spread":0.2549969808061825,"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."}}