{"id":"W6907576333","doi":"10.23645/epacomptox.28536419","title":"Quantitative Structure Use Relationship (QSUR) Models","year":2025,"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); Relation (database); Identification (biology); Sample (material); Sequence (biology)","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":["insufficient_payload"],"category_scores_codex":[0.0001442404,0.0007240122,0.0004513854,0.0008392301,0.0002826408,0.00008725794,0.0002946373,0.0008833218,0.02496274],"category_scores_gemma":[0.00009918815,0.0007708982,0.0002260332,0.0003401712,0.0002478687,0.0004908975,0.0001646141,0.001071753,0.008825825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009020485,"about_ca_system_score_gemma":0.00006760119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003273,"about_ca_topic_score_gemma":0.0002601874,"domain_scores_codex":[0.9969337,0.0004292218,0.0004945891,0.001056519,0.0006593262,0.0004266747],"domain_scores_gemma":[0.9983866,0.00005661684,0.0005826468,0.0008336515,0.000007351513,0.0001331392],"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":[0.0007289048,0.001316375,0.003385147,0.0007824837,0.001728198,0.00009435515,0.001679023,0.01885804,0.03809831,0.02662645,0.8942447,0.01245798],"study_design_scores_gemma":[0.003713983,0.0007630512,0.03698351,0.001285786,0.001024374,0.00006896555,0.0004323612,0.0135866,0.002459842,0.07251442,0.8617175,0.005449597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002298537,0.002804438,0.09106201,0.000110881,0.001866704,0.01017779,0.01278111,0.002552095,0.8763464],"genre_scores_gemma":[0.208162,0.0001274837,0.004060419,0.00005056142,0.0001464592,0.0002863337,0.0008232145,0.001264077,0.7850794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2058635,"threshold_uncertainty_score":0.9994742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262946310333493,"score_gpt":0.255149898521202,"score_spread":0.202520435417867,"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."}}