{"id":"W4235490602","doi":"10.1515/iupac.78.0604","title":"Test Portion (Analytical Portion)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Relation (database); Pesticide; Field (mathematics); Data science; Management science; Engineering; Chemistry; Data mining; Ecology; Biology; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005675463,0.0005071047,0.0005876176,0.0004171092,0.00006150518,0.00007164365,0.0004474694,0.0005417782,0.002768157],"category_scores_gemma":[0.0007003309,0.0004304152,0.0001668802,0.0003345732,0.0001036208,0.00009190128,0.0001091362,0.001024759,0.00003241859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008220524,"about_ca_system_score_gemma":0.0002760775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001651028,"about_ca_topic_score_gemma":0.00006305104,"domain_scores_codex":[0.9967716,0.00001733334,0.0006274754,0.000434898,0.001443749,0.000704926],"domain_scores_gemma":[0.9982235,0.0001765537,0.00007562542,0.0009152307,0.0002900563,0.0003190121],"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":[0.00001264016,0.00007710289,0.000007115512,0.0003233157,0.0001100562,0.0001144383,0.000001769696,0.0009060539,0.00006582173,0.00001974537,0.9960272,0.002334695],"study_design_scores_gemma":[0.0004173014,0.00007402262,0.00008369052,0.0002614061,0.00007967612,0.00002941778,0.000003700656,0.002213815,0.0000776055,0.00004901554,0.9962032,0.0005071801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008851914,0.0003494476,0.002918369,0.0002086044,0.0006605241,0.0002582156,0.9946562,0.0005660749,0.0002940386],"genre_scores_gemma":[0.0004465064,0.0009562229,0.00009020714,0.00002517499,0.001315347,0.00003612438,0.9965507,0.0001262839,0.00045338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002828162,"threshold_uncertainty_score":0.9998147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137699683383321,"score_gpt":0.3755468796598891,"score_spread":0.3641698828260559,"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."}}