{"id":"W2996941980","doi":"10.1002/etc.4570","title":"Development of Empirical Bioavailability Models for Metals","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Newmont Corporation; Dow Chemical Company; Umicore; U.S. Bureau of Land Management; Rio Tinto; U.S. Environmental Protection Agency","keywords":"Bioavailability; Normalization (sociology); Biochemical engineering; Statistical model; Empirical modelling; Computer science; Environmental science; Machine learning; Engineering; Biology; Bioinformatics; Simulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003317447,0.001120834,0.0009208158,0.001150137,0.000326935,0.001201798,0.002133021,0.001279218,0.002071904],"category_scores_gemma":[0.009649907,0.0006781194,0.001400125,0.0007490952,0.0005983639,0.002077147,0.001141345,0.001723526,0.000958248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668936,"about_ca_system_score_gemma":0.001376495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008071435,"about_ca_topic_score_gemma":0.005579129,"domain_scores_codex":[0.9991285,0.0003473589,0.00008164032,0.0001802234,0.0002221306,0.00004021523],"domain_scores_gemma":[0.9962595,0.002594851,0.0002972628,0.0001756381,0.000639273,0.00003350012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005923636,0.00008611026,0.002589146,0.0005378674,0.0001409026,0.0001114999,0.0001566847,0.8925091,0.003736892,0.04169872,0.002559638,0.05581427],"study_design_scores_gemma":[0.00001339482,0.00005861296,0.0005405045,0.00007421268,0.00004464375,0.00005995957,0.00003113932,0.96417,0.00178988,0.02268814,0.01050949,0.00002006227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03931638,0.004172682,0.9388421,0.001223084,0.0001036044,0.0002206507,0.001119633,0.0007432378,0.01425862],"genre_scores_gemma":[0.5213351,0.01148325,0.4433215,0.0007779956,0.000214753,0.001568903,0.00305952,0.0005563808,0.01768258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008071435,"threshold_uncertainty_score":0.01754457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799403052040719,"score_gpt":0.2488287509113208,"score_spread":0.2308347203909136,"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."}}