{"id":"W3047140336","doi":"","title":"Flagging health risks of chemicals by combining in vitro bioactivity data with environmental and consumer product exposure modeling","year":2014,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Flagging; Product (mathematics); Human health; Business; Environmental science; Environmental health; Medicine; Geography; Mathematics","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":[0.002904647,0.001240006,0.0009010092,0.001410557,0.0003835149,0.001769307,0.0008374291,0.001097793,0.001749157],"category_scores_gemma":[0.004348811,0.000501202,0.001692213,0.001163604,0.0004293087,0.001081984,0.0009605469,0.0009185606,0.0006974091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008990553,"about_ca_system_score_gemma":0.0009702469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005626484,"about_ca_topic_score_gemma":0.00637673,"domain_scores_codex":[0.9983935,0.0006356996,0.0001331927,0.0002532103,0.0005071749,0.0000773194],"domain_scores_gemma":[0.9964932,0.002070209,0.0004354217,0.0004746371,0.0004720525,0.00005459841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00148442,0.001482805,0.08154858,0.001384562,0.0007876852,0.0003442507,0.0003873362,0.2713679,0.5602573,0.001941658,0.001089303,0.07792414],"study_design_scores_gemma":[0.00004350185,0.002857625,0.0261283,0.00008584043,0.0008063167,0.0004630674,0.0004627788,0.3498678,0.6079098,0.004495648,0.006748535,0.0001308462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7749611,0.003450945,0.2017897,0.0004958468,0.00008188099,0.0004089198,0.006113406,0.0007043077,0.01199392],"genre_scores_gemma":[0.950295,0.002189925,0.04190468,0.0001572795,0.00001490433,0.0002167076,0.003243595,0.00007959798,0.001898262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005626484,"threshold_uncertainty_score":0.01536149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321079289715129,"score_gpt":0.2347205508260708,"score_spread":0.1915097579289195,"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."}}