{"id":"W4243908462","doi":"10.1515/iupac.80.0188","title":"System","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Glossary; Confusion; Chemical nomenclature; Solubility; Nomenclature; Diversity (politics); Order (exchange); Chemistry; Philosophy; Sociology; Linguistics; Organic chemistry; Psychology; Taxonomy (biology); Anthropology; Ecology; Business; Biology","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":[0.001576443,0.002499788,0.001495317,0.003049419,0.001346847,0.003611645,0.004065395,0.002180135,0.1074754],"category_scores_gemma":[0.00867294,0.0007251754,0.002281236,0.004616897,0.0004888834,0.003598951,0.002934836,0.002494112,0.2004459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916968,"about_ca_system_score_gemma":0.002942013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954589,"about_ca_topic_score_gemma":0.03970951,"domain_scores_codex":[0.9980999,0.0003350567,0.0002340861,0.0008051599,0.0002889541,0.0002369376],"domain_scores_gemma":[0.997505,0.0006163818,0.0001917879,0.0008312049,0.0006525953,0.0002030184],"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":[0.0001490602,0.00003017816,0.001275411,0.0007612366,0.00005520022,0.00002972237,0.00003504499,0.0004835266,0.0001594836,0.001189839,0.9890389,0.006792506],"study_design_scores_gemma":[0.0002169482,0.00003566362,0.002776491,0.000303734,0.00004425813,0.000098091,0.0001315356,0.001502722,0.00044847,0.005513888,0.9888884,0.00003973703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002343396,0.0001155109,0.0004531766,0.0001930734,0.00005957794,0.00004540355,0.9954658,0.001910868,0.001522165],"genre_scores_gemma":[0.0005290778,0.00008157994,0.001095373,0.0001192899,0.00001277218,0.000152859,0.9968664,0.0001355455,0.001007096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8925246,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479630822550585,"score_gpt":0.4032897080137008,"score_spread":0.3884933997881949,"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."}}