{"id":"W4248592931","doi":"10.1515/iupac.81.0938","title":"Uncertainty Factor (UF)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002930082,0.002940193,0.001839838,0.007641277,0.001275947,0.004474088,0.003301531,0.002783194,0.06751213],"category_scores_gemma":[0.02972637,0.0006512598,0.003520125,0.008864821,0.0006077659,0.004318893,0.002729636,0.002638672,0.059932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348475,"about_ca_system_score_gemma":0.002596522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02448432,"about_ca_topic_score_gemma":0.03394543,"domain_scores_codex":[0.9964221,0.0006048284,0.0005586952,0.001185774,0.0009081878,0.0003203748],"domain_scores_gemma":[0.9918457,0.00400276,0.0006346682,0.00158771,0.001681823,0.0002474],"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":[0.0002028494,0.00006219739,0.007758016,0.002075396,0.0002235382,0.00007082507,0.00005906165,0.003527922,0.000127534,0.00259267,0.96022,0.02308001],"study_design_scores_gemma":[0.0002803755,0.00005734972,0.009376042,0.001030325,0.0001543568,0.0003173612,0.0001964277,0.005254998,0.0006577558,0.01082729,0.9717429,0.0001048846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006662431,0.0006124393,0.0007139958,0.0001778599,0.00008526406,0.00003704329,0.9946938,0.001042151,0.001971202],"genre_scores_gemma":[0.003334573,0.0003125952,0.001906949,0.0001185879,0.00003198113,0.0001521757,0.9929422,0.0001698566,0.001031166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9324878,"threshold_uncertainty_score":0.2258506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007664540738523895,"score_gpt":0.3288933985431473,"score_spread":0.3212288578046233,"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."}}