{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07387589,0.001879724,0.002194334,0.003502531,0.001154792,0.005703059,0.00456544,0.001229975,0.009593559],"category_scores_gemma":[0.1587912,0.001017258,0.005392263,0.004041433,0.001108218,0.003340652,0.003315858,0.002679335,0.00185327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003641244,"about_ca_system_score_gemma":0.005037351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03234918,"about_ca_topic_score_gemma":0.04379116,"domain_scores_codex":[0.9378016,0.05478407,0.001494413,0.002498517,0.003099389,0.0003220566],"domain_scores_gemma":[0.8710642,0.1135005,0.002829946,0.007049997,0.005240589,0.00031484],"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":[0.001360162,0.0007595338,0.03657243,0.004747454,0.00366725,0.0002835087,0.001966441,0.598884,0.002096979,0.06738741,0.02896754,0.2533072],"study_design_scores_gemma":[0.0002829414,0.0005289258,0.003990726,0.0005330991,0.0006007495,0.00007873312,0.0005228506,0.9431061,0.001150407,0.0294351,0.01966609,0.0001042206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1056262,0.005053118,0.8177704,0.006150255,0.0002659423,0.002520818,0.03028881,0.01056112,0.02176334],"genre_scores_gemma":[0.4436031,0.001404759,0.5306409,0.001085112,0.00007998999,0.002373209,0.01693395,0.001850206,0.002028802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07387589,"threshold_uncertainty_score":0.3906977,"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."}}