{"id":"W4236802927","doi":"10.1515/iupac.78.0546","title":"Risk Management","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Management science; Data science; Engineering; Chemistry; Data mining","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":[0.001429834,0.001702757,0.001135756,0.006659165,0.000735385,0.002956212,0.002420757,0.001620621,0.1019706],"category_scores_gemma":[0.01163283,0.0005608484,0.00169413,0.01008879,0.0002822014,0.002522015,0.002079987,0.001766418,0.09057061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249774,"about_ca_system_score_gemma":0.003111337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02590297,"about_ca_topic_score_gemma":0.04388518,"domain_scores_codex":[0.9981997,0.0002922141,0.0004628847,0.0004093986,0.0004809386,0.0001547957],"domain_scores_gemma":[0.9950193,0.00170704,0.0007204926,0.000917223,0.001387635,0.0002482946],"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":[0.00003063184,0.0000138553,0.0012127,0.001211551,0.00003039558,0.00002200754,0.00002836478,0.000391919,0.0000590816,0.00168191,0.9861948,0.009122689],"study_design_scores_gemma":[0.00003960186,0.000006332564,0.002158711,0.0007283391,0.00001731165,0.00005158687,0.00005304766,0.0002619145,0.00008362657,0.002109386,0.9944721,0.00001819985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007444035,0.0001890877,0.0001534068,0.0001045313,0.00001694077,0.00001823128,0.9974826,0.0002035854,0.001757178],"genre_scores_gemma":[0.0004200866,0.0003066565,0.0007121938,0.00009813752,0.000008649326,0.0001002676,0.9972729,0.00005886839,0.001022135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019706,"threshold_uncertainty_score":0.3411257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070681481813545,"score_gpt":0.3275082567270676,"score_spread":0.3168014419089322,"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."}}