{"id":"W6903161146","doi":"10.1021/es3003124.s001","title":"A Holocene Perspective\\non Algal Mercury Scavenging\\nto Sediments of an Arctic Lake","year":2016,"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":"Limnology; Mercury (programming language); Arctic; Sediment; Diatom; Thermokarst; Algae; Sedimentation; Holocene","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":[0.0002392496,0.0001924993,0.0001142094,0.0008494675,0.001535927,0.0009934031,0.0002840377,0.0002772038,0.001893114],"category_scores_gemma":[0.0004019419,0.0001252861,0.0001268392,0.001047097,0.0006289078,0.0004691451,0.0005165049,0.0003561872,0.0001887422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003660773,"about_ca_system_score_gemma":0.002073629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5692945,"about_ca_topic_score_gemma":0.8579994,"domain_scores_codex":[0.99992,0.000006693081,0.000003324475,0.00002048319,0.00001286833,0.00003656726],"domain_scores_gemma":[0.9997198,0.00001751808,0.00006609217,0.00001166843,0.0001192817,0.00006551277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001941394,0.00003207383,0.9550844,0.00009809351,0.00007883531,0.000480239,0.004706347,0.0003106851,0.01261155,0.001043248,0.001221038,0.02413935],"study_design_scores_gemma":[0.000001071935,0.00000622627,0.9956754,0.00001079391,0.000009892811,0.00005808542,0.0006683592,0.00007738996,0.0003455549,0.00004457545,0.003098799,0.000003736494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914969,0.001366592,0.0001354567,0.0003370828,0.00001178388,0.00000238977,0.0008024689,0.00000956208,0.005837821],"genre_scores_gemma":[0.997896,0.0005922464,0.0001971614,0.00008565381,0.00001217239,0.000002121143,0.0004029984,0.000006583349,0.0008050514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692945,"threshold_uncertainty_score":0.866484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330285284844437,"score_gpt":0.273114053045615,"score_spread":0.2498112001971706,"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."}}