{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005323704,0.001068956,0.0009054534,0.0028127,0.0007529222,0.002896161,0.003783494,0.001265253,0.0643825],"category_scores_gemma":[0.02234582,0.0006934498,0.002189582,0.003365192,0.0005551539,0.002694684,0.001603682,0.001248105,0.01386738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004153038,"about_ca_system_score_gemma":0.00320417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08786738,"about_ca_topic_score_gemma":0.1126654,"domain_scores_codex":[0.9970276,0.001241539,0.000136071,0.0003403662,0.001082953,0.0001714406],"domain_scores_gemma":[0.9905042,0.006291573,0.0004182576,0.0006839632,0.001958978,0.0001429507],"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":[0.0002081776,0.0004066112,0.01066213,0.0008738905,0.0001971531,0.0001407073,0.0008117948,0.3431534,0.001185483,0.2648552,0.1689529,0.2085526],"study_design_scores_gemma":[0.00003327808,0.0000527152,0.001765918,0.0001113885,0.00004576321,0.00003745229,0.0002157464,0.8824576,0.0006274594,0.06586777,0.04873865,0.00004634829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0229653,0.001270942,0.7700379,0.004304712,0.0002474617,0.0007558106,0.07345482,0.007999166,0.118964],"genre_scores_gemma":[0.4615158,0.001890889,0.4004977,0.0007482391,0.0001566795,0.002241062,0.05590813,0.003841174,0.07320022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08786738,"threshold_uncertainty_score":0.2153809,"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."}}