{"id":"W4243170984","doi":"10.1515/iupac.79.1940","title":"Residual Risk","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":[0.002674898,0.00156256,0.001628719,0.00387031,0.0004886336,0.002848009,0.002758641,0.001629427,0.1194703],"category_scores_gemma":[0.02520021,0.0005154762,0.003562929,0.004678506,0.0003101995,0.002025192,0.001366118,0.002268268,0.07742704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697141,"about_ca_system_score_gemma":0.00278919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109512,"about_ca_topic_score_gemma":0.01853596,"domain_scores_codex":[0.9968628,0.00064964,0.0005932847,0.0009743838,0.0007256152,0.0001944047],"domain_scores_gemma":[0.992276,0.003686626,0.0009193537,0.001377164,0.001495572,0.0002453148],"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":[0.0002773942,0.00004662822,0.005471541,0.002752788,0.0003649614,0.00003460577,0.00002400746,0.002306495,0.00007125553,0.002567941,0.9606972,0.02538523],"study_design_scores_gemma":[0.0005492299,0.00006012677,0.00643119,0.001499311,0.000286231,0.0001816186,0.00006210384,0.001749433,0.0002275031,0.008634653,0.9802656,0.00005312889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002748598,0.0003836876,0.0003954306,0.0001668528,0.00005041788,0.00003953075,0.9960443,0.0003232712,0.002321734],"genre_scores_gemma":[0.002591768,0.0004866914,0.00154886,0.0003193262,0.00005070657,0.0002373635,0.9921241,0.0001647609,0.002476358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1194703,"threshold_uncertainty_score":0.399668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456920532413191,"score_gpt":0.4906335220186194,"score_spread":0.4449414687773003,"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."}}