{"id":"W4242978981","doi":"10.1515/iupac.78.0630","title":"Validation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Computer science; Relation (database); Chemical nomenclature; Management science; Data science; Environmental chemistry; Chemistry; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007200683,0.002411971,0.001811032,0.006761596,0.00189031,0.004268806,0.004474134,0.003302879,0.1443412],"category_scores_gemma":[0.04472573,0.000815371,0.002753305,0.006601782,0.001106992,0.003484444,0.003252397,0.003521084,0.121388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002774115,"about_ca_system_score_gemma":0.006382279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165213,"about_ca_topic_score_gemma":0.04057797,"domain_scores_codex":[0.9925613,0.001592393,0.001424692,0.002248756,0.001563811,0.0006089371],"domain_scores_gemma":[0.9809799,0.007313869,0.001339482,0.004532902,0.005335646,0.0004983187],"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":[0.0001584644,0.00006522931,0.002368883,0.001315699,0.00007270461,0.00005462289,0.00007351476,0.0004633325,0.000160613,0.001424854,0.9850208,0.008821441],"study_design_scores_gemma":[0.0003610077,0.00004719174,0.005399122,0.001804038,0.00008399233,0.0001668567,0.0002219478,0.0009852328,0.0004504708,0.003710101,0.9867041,0.00006602203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004912005,0.0001922872,0.0005625366,0.0002693046,0.0001088008,0.0001646237,0.9955457,0.0004264646,0.002238994],"genre_scores_gemma":[0.0008098658,0.00008415611,0.001151385,0.0001807466,0.00001744072,0.0007663518,0.9953952,0.0001231796,0.001471657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8556588,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193748108777866,"score_gpt":0.4263523602366406,"score_spread":0.406977549358854,"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."}}