{"id":"W6921963518","doi":"10.1021/es801619h.s001","title":"Metamorphosis in Chironomids, More than Mercury Supply, Controls Methylmercury Transfer to Fish in High Arctic Lakes","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":"Methylmercury; Mercury (programming language); Arctic; Aquatic ecosystem; Sediment; Food web; Food chain; Drainage basin; δ15N","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":[0.00009339238,0.0001511353,0.0001303628,0.0002588863,0.0004370827,0.000311163,0.000163194,0.0001259933,0.0006052551],"category_scores_gemma":[0.0002480992,0.0001566065,0.0001055931,0.0001602794,0.0002361453,0.0001241575,0.0002131272,0.00009329723,0.00012314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008068006,"about_ca_system_score_gemma":0.0004739155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09697682,"about_ca_topic_score_gemma":0.2528692,"domain_scores_codex":[0.9999346,0.000009281256,0.000003246035,0.00001889936,0.00001239697,0.00002166531],"domain_scores_gemma":[0.9998227,0.00002115646,0.00007514271,0.000006909652,0.00003314271,0.00004111426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003825227,0.00004369448,0.8726694,0.00003409124,0.00004736374,0.0001131984,0.0004935749,0.0002717601,0.1187554,0.00003946579,0.0001473914,0.007002037],"study_design_scores_gemma":[0.000001255655,0.00002165097,0.9991907,0.000001060957,0.000005023141,0.000009787712,0.00008476479,0.0001437578,0.0004968059,0.000004938087,0.00003918514,9.306483e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998032,0.00002811998,0.00001886488,0.000002725528,3.14089e-7,7.230289e-7,0.00002154194,0.000002048897,0.0001223758],"genre_scores_gemma":[0.9995381,0.00003819968,0.00007280175,0.000007647955,8.172169e-7,0.000003008744,0.00006699875,0.000001677825,0.0002708341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09697682,"threshold_uncertainty_score":0.1928247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290764649244592,"score_gpt":0.250772546689289,"score_spread":0.2278649001968431,"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."}}