{"id":"W6888794393","doi":"10.23645/epacomptox.27005296","title":"The Landscape of exposure NAMs: Evaluation and Refinement of Quantitative Structure Use Relationship (QSUR) Models","year":2024,"lang":"en","type":"other","venue":"U.S. Environmental Protection Agency","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Identification (biology); Key (lock); Field (mathematics); Estimation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006814554,0.0003626467,0.0003153095,0.0003345213,0.000120805,0.00003742414,0.0001384456,0.0003355534,0.002292973],"category_scores_gemma":[0.0001060525,0.0002784827,0.000111549,0.0002099894,0.0002858696,0.0001810278,0.0001047735,0.0004253965,0.000215982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281984,"about_ca_system_score_gemma":0.00003759128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002175339,"about_ca_topic_score_gemma":0.0002160736,"domain_scores_codex":[0.9972573,0.000479878,0.0005996352,0.000531358,0.0009480276,0.0001837975],"domain_scores_gemma":[0.9985247,0.00006649795,0.000820537,0.0005175291,0.00002046251,0.00005028549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003608468,0.002611032,0.02303802,0.008389926,0.007993208,0.00002905026,0.04093134,0.06295218,0.327204,0.02945368,0.3906842,0.1031049],"study_design_scores_gemma":[0.01660335,0.01010621,0.2778774,0.008207991,0.009911421,0.0001952364,0.01399772,0.1464553,0.01875466,0.205468,0.2843694,0.008053326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5466434,0.139759,0.008331039,0.0004435538,0.003797406,0.04374517,0.01911416,0.001186498,0.2369798],"genre_scores_gemma":[0.9486392,0.0004829906,0.000694312,0.000003256947,0.00005314578,0.0002676548,0.0002353341,0.0005004349,0.04912366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4019958,"threshold_uncertainty_score":0.9999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690158506355091,"score_gpt":0.2764197276647499,"score_spread":0.219518142601199,"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."}}