{"id":"W2159805639","doi":"10.1002/etc.2820","title":"Metal Mixture Modeling Evaluation project: 2. Comparison of four modeling approaches","year":2014,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; U.S. Geological Survey; Rio Tinto; International Zinc Association; Nickel Producers Environmental Research Association","keywords":"Organism; Calibration; Toxicity; Biochemical engineering; Environmental science; Environmental chemistry; Chemistry; Computer science; Biology; Statistics; Mathematics; Engineering","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":[0.02470424,0.002547324,0.001553718,0.004258734,0.0008813085,0.002783214,0.00438645,0.002075784,0.005409549],"category_scores_gemma":[0.02060228,0.0009764127,0.002641158,0.002708421,0.0004990915,0.002929236,0.004044041,0.001273703,0.001480486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226192,"about_ca_system_score_gemma":0.002760038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01498443,"about_ca_topic_score_gemma":0.01017684,"domain_scores_codex":[0.9902567,0.005046906,0.0004785995,0.0006427228,0.003233334,0.0003418426],"domain_scores_gemma":[0.9908221,0.003714172,0.0007512167,0.00118772,0.003224391,0.0003003329],"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":[0.00482903,0.002648663,0.03839187,0.002499068,0.001856893,0.0002764578,0.0004954346,0.5791528,0.008802126,0.01956096,0.03256515,0.3089215],"study_design_scores_gemma":[0.0009920723,0.002286022,0.01758616,0.0006209568,0.0008123707,0.000237602,0.0004143711,0.900241,0.02136908,0.008233699,0.04690019,0.000306438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3190402,0.003298392,0.5643867,0.003013448,0.000358664,0.005708543,0.04433136,0.01512626,0.04473643],"genre_scores_gemma":[0.3720771,0.001913573,0.5638933,0.0006293176,0.00009008797,0.004589921,0.0465387,0.003527107,0.006740938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02470424,"threshold_uncertainty_score":0.13065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05737123243823291,"score_gpt":0.2640122308797302,"score_spread":0.2066409984414973,"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."}}