{"id":"W4252393094","doi":"10.1515/iupac.78.0428","title":"Model Verification","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Computer science; Chemical nomenclature; Field (mathematics); Management science; Data science; Engineering; Chemistry; Data mining; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002364391,0.0003136708,0.0004195548,0.0001506064,0.00004587225,0.00006870458,0.0002550376,0.0003231658,0.00069506],"category_scores_gemma":[0.00006423258,0.0002570474,0.0001183286,0.00009569186,0.0000264449,0.0001204421,0.00002131589,0.0002198578,0.00001271387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413334,"about_ca_system_score_gemma":0.0001562916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001924345,"about_ca_topic_score_gemma":0.0000781516,"domain_scores_codex":[0.9984192,0.00002924636,0.0004367389,0.0002598228,0.0005910161,0.0002639797],"domain_scores_gemma":[0.998855,0.00003274085,0.00009416456,0.0006972477,0.0002050155,0.0001158479],"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":[0.00002082944,0.00001811504,3.789835e-7,0.0001034627,0.0000610884,0.00000269183,0.00000559206,0.02058337,0.00008079093,0.00001489581,0.9757372,0.003371617],"study_design_scores_gemma":[0.0005394315,0.00001563254,0.000003991522,0.000123319,0.0000382557,0.000001917437,0.000003555818,0.1366512,0.000007129282,0.00006598617,0.8622807,0.0002689899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002411015,0.0004750161,0.01135658,0.00007251196,0.0006354737,0.0002628061,0.9864324,0.0002845654,0.0004565435],"genre_scores_gemma":[0.001517473,0.0004638388,0.00003126166,0.0000421049,0.0006191237,0.00002645211,0.9967769,0.00005419513,0.0004686236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1160678,"threshold_uncertainty_score":0.9999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147103337801546,"score_gpt":0.3509370200538163,"score_spread":0.3362266862736617,"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."}}