{"id":"W4240649669","doi":"10.1515/iupac.80.0120","title":"Mass Percent","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","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; Sociology; Philosophy; Organic chemistry; Linguistics; Psychology; Taxonomy (biology); Anthropology; Ecology; Business","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":[0.0007875331,0.001879029,0.00137931,0.004531919,0.0007510654,0.002336522,0.00226549,0.0014347,0.05543279],"category_scores_gemma":[0.005679842,0.0004426128,0.001524684,0.006091926,0.000430641,0.002501494,0.001450777,0.001943744,0.08797519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423227,"about_ca_system_score_gemma":0.001663699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01628989,"about_ca_topic_score_gemma":0.02505932,"domain_scores_codex":[0.9987393,0.0001310119,0.0001679759,0.0005486876,0.0002741991,0.0001388825],"domain_scores_gemma":[0.9983509,0.0004176286,0.000214526,0.0003978141,0.0005057724,0.0001133751],"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":[0.0001558647,0.00003042002,0.004528061,0.001220442,0.00009000347,0.00004280544,0.0000308466,0.0004620158,0.0002303493,0.001112359,0.9838124,0.008284379],"study_design_scores_gemma":[0.0001549839,0.00002565881,0.01022271,0.0003656628,0.00004748044,0.0001382042,0.0001019499,0.0006173427,0.0004879858,0.002424172,0.9853793,0.00003451862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003213642,0.0002035712,0.00008558764,0.00008361002,0.00004429802,0.00001005107,0.9979213,0.0002995767,0.001030704],"genre_scores_gemma":[0.0009863186,0.0001910773,0.0002891578,0.00007270995,0.00001882688,0.00004944137,0.9973652,0.00005189526,0.0009753911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05543279,"threshold_uncertainty_score":0.1854411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00632147533661516,"score_gpt":0.346922926883747,"score_spread":0.3406014515471318,"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."}}