{"id":"W1981708903","doi":"10.1186/1472-6831-13-44","title":"Dental amalgam and urinary mercury concentrations: a descriptive study","year":2013,"lang":"en","type":"article","venue":"BMC Oral Health","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Medical Association; University of Toronto","funders":"University of Toronto; Dalhousie University; Public Health Agency; Public Health Agency of Canada; U.S. Environmental Protection Agency","keywords":"Mercury (programming language); Percentile; Medicine; MERCURY EXPOSURE; Urinary system; Urine; Population; Dentistry; Environmental chemistry; Biomonitoring; Chemistry; Environmental health; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006906248,0.0003076991,0.000561805,0.001965196,0.001056643,0.0009033994,0.0005787919,0.0005053253,0.001836642],"category_scores_gemma":[0.00134383,0.000483678,0.0006314585,0.004464059,0.0006457185,0.0006738087,0.0006136871,0.000564446,0.000360002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002440641,"about_ca_system_score_gemma":0.003459446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2450187,"about_ca_topic_score_gemma":0.2970617,"domain_scores_codex":[0.9990675,0.00005777186,0.00009637963,0.00014223,0.0004432563,0.0001928609],"domain_scores_gemma":[0.9987541,0.0001988312,0.0003712205,0.00005030386,0.0004057911,0.0002196801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007831339,0.0001173244,0.9982184,0.00002780893,0.00003118566,0.00009931295,0.0003111839,0.00001196728,0.0001091601,0.000008247648,0.00009815002,0.0008889312],"study_design_scores_gemma":[0.000005970426,0.0001802057,0.9980326,0.000008037358,0.00002785729,0.0002467314,0.001054997,0.00004828743,0.00004300417,0.000007930429,0.0003364446,0.000007903564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975423,0.0002383559,0.00005301924,0.00003108016,0.00000248398,0.00005509229,0.001289627,0.000004312656,0.000783772],"genre_scores_gemma":[0.9978398,0.0003769879,0.0001456855,0.00008182166,0.000009457808,0.00004074677,0.0010856,0.000003433777,0.0004162748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450187,"threshold_uncertainty_score":0.4871851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061510079086008,"score_gpt":0.3273182254273236,"score_spread":0.2667031246364636,"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."}}