{"id":"W2034893026","doi":"10.1897/02-396","title":"Chemical contaminants and biological indicators of mussel health during gametogenesis","year":2003,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Bedford Institute of Oceanography","funders":"","keywords":"Bioaccumulation; Mussel; Mytilus; Sewage; Environmental chemistry; Coprostanol; Bivalvia; Contamination; Biology; Gonad; Mollusca; Environmental science; Toxicology; Ecology; Chemistry; Sterol; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000119307,0.0003533217,0.0001946995,0.0005787034,0.0005222166,0.0002714164,0.0002000835,0.0002071919,0.0007660806],"category_scores_gemma":[0.0002593251,0.0002378678,0.0001272709,0.0003012895,0.0003086754,0.0001472723,0.0003625253,0.0001923586,0.0002025583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007126707,"about_ca_system_score_gemma":0.0003093932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0418446,"about_ca_topic_score_gemma":0.1908293,"domain_scores_codex":[0.9998937,0.000006928804,0.00000680919,0.00004401736,0.0000261535,0.00002251811],"domain_scores_gemma":[0.999626,0.00002034069,0.000179786,0.00001789856,0.00008665169,0.00006919201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002153042,0.00003095505,0.9093893,0.00002484814,0.00002153004,0.000173771,0.0006621944,0.00008754689,0.08654624,0.00001333759,0.00004761004,0.002787472],"study_design_scores_gemma":[0.000001063764,0.00007147981,0.9990844,0.000001008355,0.000002080317,0.00003733721,0.00008683091,0.00002026301,0.0006240231,0.000001769304,0.00006863836,0.000001131498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995042,0.00003062295,0.00004669086,0.000002680616,4.614426e-7,0.000008303609,0.0001751504,0.000003051961,0.0002287527],"genre_scores_gemma":[0.9981511,0.0000416514,0.0003017592,0.00001345031,0.00000135089,0.00001770566,0.0003887894,0.00000189398,0.001082339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0418446,"threshold_uncertainty_score":0.08320206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00633704650368003,"score_gpt":0.2077767889249117,"score_spread":0.2014397424212317,"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."}}