{"id":"W4234800431","doi":"10.1515/iupac.81.0372","title":"Extrapolation Factor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Extrapolation; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Data mining; Statistics; Biology; Mathematics; Philosophy; Linguistics","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":[0.003458537,0.002748568,0.001900109,0.005870535,0.001180031,0.004476286,0.002904616,0.002128253,0.1282695],"category_scores_gemma":[0.03345919,0.0006232336,0.003570604,0.006473615,0.000532733,0.005092469,0.002462438,0.003176977,0.16591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679284,"about_ca_system_score_gemma":0.002268425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369322,"about_ca_topic_score_gemma":0.02006922,"domain_scores_codex":[0.9960189,0.000625918,0.000580532,0.001580548,0.0008486482,0.0003454988],"domain_scores_gemma":[0.9902744,0.003666846,0.0005836971,0.002537518,0.00261061,0.0003270831],"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":[0.0003319423,0.00008102208,0.01046745,0.001504467,0.0001732341,0.00007367948,0.00006402777,0.00136921,0.0001874807,0.002393178,0.9487813,0.03457302],"study_design_scores_gemma":[0.0002581959,0.00005579583,0.009168103,0.0008169045,0.0001214606,0.0002126825,0.0001946773,0.002338903,0.0005268056,0.006834951,0.9794053,0.00006615179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001387655,0.0008094017,0.001059253,0.0004035681,0.0002715882,0.00009892914,0.9869169,0.002151053,0.006901735],"genre_scores_gemma":[0.004795216,0.0003888738,0.002684584,0.0002728882,0.00007769335,0.0002289979,0.9867271,0.0004216912,0.004402871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1282695,"threshold_uncertainty_score":0.4291042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811120916551164,"score_gpt":0.3983078232982529,"score_spread":0.3801966141327413,"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."}}