{"id":"W6940514864","doi":"10.1021/acs.est.7b04180.s001","title":"Ratio\\nof Methylmercury to Dissolved Organic Carbon in Water Explains Methylmercury\\nBioaccumulation Across a Latitudinal Gradient from North-Temperate\\nto Arctic Lakes","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methylmercury; Bioaccumulation; Arctic; Mercury (programming language); Dissolved organic carbon; Benthic zone; Surface water; Plankton; Aquatic ecosystem","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":[0.0001545691,0.0001572586,0.0001739923,0.0006652698,0.0005858783,0.0005964726,0.0001955702,0.0001407961,0.0007126742],"category_scores_gemma":[0.0003296429,0.0001855938,0.0002738151,0.000708789,0.0003021124,0.0002262934,0.0003197903,0.000127703,0.0001646194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009621228,"about_ca_system_score_gemma":0.0008765528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2215152,"about_ca_topic_score_gemma":0.3821738,"domain_scores_codex":[0.9998415,0.00001333413,0.000008418395,0.00006075829,0.00003381544,0.00004215766],"domain_scores_gemma":[0.999729,0.00002707475,0.00007405458,0.00001499514,0.0000946712,0.00006025316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007851658,0.00001198792,0.9851127,0.00001477437,0.00006171776,0.0000266837,0.0004150312,0.00007050225,0.01196431,0.00003113108,0.00006320745,0.002149515],"study_design_scores_gemma":[4.07152e-7,0.000004274828,0.999504,9.683911e-7,0.000006069884,0.000009248144,0.0001077281,0.00008067602,0.0002024257,0.000004632067,0.00007868745,0.000001047203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993716,0.00007918422,0.0000565643,0.00000737607,9.866353e-7,0.000001807834,0.0001659259,0.000002587585,0.0003140413],"genre_scores_gemma":[0.9991409,0.00008800475,0.0001144773,0.000009267205,0.000001435273,0.000004164098,0.0004199989,0.000004079229,0.0002177708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215152,"threshold_uncertainty_score":0.4404516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576867179381784,"score_gpt":0.2763778092785335,"score_spread":0.2306091374847157,"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."}}