{"id":"W4249211137","doi":"10.1515/iupac.80.0127","title":"Mixture","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; Diversity (politics); Nomenclature; Order (exchange); Chemistry; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Taxonomy (biology); Anthropology; Business; Ecology","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":[0.001266874,0.003016122,0.001744275,0.003597609,0.001430638,0.003793145,0.004252842,0.002540896,0.1001146],"category_scores_gemma":[0.006065592,0.0007858782,0.00261647,0.004747594,0.0005143547,0.003989682,0.003099155,0.002609933,0.1932059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807397,"about_ca_system_score_gemma":0.002154663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957443,"about_ca_topic_score_gemma":0.04124731,"domain_scores_codex":[0.9980873,0.0002750508,0.0002338332,0.0007459439,0.0004264372,0.000231393],"domain_scores_gemma":[0.9977704,0.0003932228,0.0002268,0.0007856375,0.0006400298,0.0001838503],"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":[0.000204372,0.00005576535,0.001892896,0.0009018295,0.00006711712,0.00004531387,0.0000350114,0.0004388121,0.0002463403,0.001136326,0.9851835,0.00979274],"study_design_scores_gemma":[0.0001934081,0.0000248531,0.003887405,0.000295019,0.00003659885,0.0001173485,0.0000972654,0.0006647125,0.0005351001,0.002341641,0.99177,0.00003655846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000332032,0.0001526566,0.0002962703,0.0001196765,0.00007044651,0.00003774148,0.9958969,0.001103879,0.00199036],"genre_scores_gemma":[0.0004594015,0.00008185841,0.0006469583,0.0000870087,0.00001175923,0.0000723163,0.9974495,0.000103887,0.001087285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1001146,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292790834019721,"score_gpt":0.40999829986708,"score_spread":0.3970703915268828,"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."}}