{"id":"W6903311503","doi":"10.1021/es903874x.s001","title":"Changes in Mercury Levels in Great Lakes Fish Between 1970s and 2007","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":"Mercury (programming language); Trout; Fish <Actinopterygii>; Salmonidae; Water body","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":[0.0001761838,0.0002126301,0.0001761627,0.00144282,0.0006044797,0.000409367,0.0002094511,0.0001910302,0.0008772694],"category_scores_gemma":[0.0003238361,0.0001865661,0.0002651754,0.001765313,0.0004588687,0.0002206524,0.0004264226,0.0002125868,0.0001944381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002929612,"about_ca_system_score_gemma":0.001450902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6398098,"about_ca_topic_score_gemma":0.8639459,"domain_scores_codex":[0.9998465,0.000005639864,0.000008931194,0.00003371765,0.00007393541,0.00003129422],"domain_scores_gemma":[0.9997492,0.00001050854,0.00005634722,0.0000100465,0.0001471731,0.00002660794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261582,0.00001394624,0.9803657,0.00005761326,0.0001090296,0.00008614489,0.001098816,0.0001843413,0.00605262,0.00006024807,0.0007047479,0.0111407],"study_design_scores_gemma":[6.560048e-7,0.00000949377,0.9989163,0.000002293976,0.000008665836,0.00001329265,0.0001260688,0.00001905652,0.0002917506,0.000002983051,0.0006074857,0.000002081981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939365,0.0002441319,0.00006484954,0.00004738186,0.000003318658,0.000006919257,0.003939445,0.00001526305,0.00174221],"genre_scores_gemma":[0.9889646,0.0006358876,0.0004449183,0.00008385767,0.000006391396,0.00001881272,0.005853036,0.000006873991,0.003985601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3601902,"threshold_uncertainty_score":0.7246228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07076972429558362,"score_gpt":0.2832418581370622,"score_spread":0.2124721338414785,"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."}}