{"id":"W3152542138","doi":"10.1016/j.yrtph.2021.104933","title":"Comparisons of PNEC derivation logic flows under example regulatory schemes and implications for ecoTTC","year":2021,"lang":"en","type":"article","venue":"Regulatory Toxicology and Pharmacology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"Health and Environmental Sciences Institute; U.S. Environmental Protection Agency","keywords":"Percentile; Extrapolation; Ecotoxicity; Risk assessment; Environmental science; Mathematics; Statistics; Computer science; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04573182,0.0007033354,0.0006080855,0.004834895,0.001550652,0.005863162,0.002334996,0.001727483,0.008972348],"category_scores_gemma":[0.08432106,0.0005571941,0.001733234,0.003496311,0.001364438,0.003927563,0.002312248,0.002276826,0.002343539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005529485,"about_ca_system_score_gemma":0.008758431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187627,"about_ca_topic_score_gemma":0.008430845,"domain_scores_codex":[0.9745513,0.008283925,0.001983453,0.002587534,0.01137496,0.001218808],"domain_scores_gemma":[0.9131618,0.05051463,0.004575539,0.009614736,0.02151404,0.000619392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001872478,0.0009500693,0.05223787,0.001963936,0.0004574499,0.0006494189,0.00112803,0.2411394,0.01308332,0.2122393,0.03932236,0.4349563],"study_design_scores_gemma":[0.0006228084,0.001405454,0.05910448,0.002359377,0.0006369684,0.0009751741,0.002024988,0.458136,0.06499528,0.1607251,0.2483782,0.0006361566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2787463,0.002408886,0.4849541,0.006283119,0.0005051255,0.003808882,0.02107805,0.007422694,0.1947929],"genre_scores_gemma":[0.6059788,0.001638612,0.3595366,0.00216815,0.00009655276,0.002131426,0.01555333,0.001252487,0.01164398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04573182,"threshold_uncertainty_score":0.2418559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06075979738038001,"score_gpt":0.3346376488490625,"score_spread":0.2738778514686825,"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."}}