{"id":"W4250435185","doi":"10.1515/iupac.80.0118","title":"Mass Concentration","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; Diversity (politics); Order (exchange); Nomenclature; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007893837,0.0003784567,0.0004082641,0.00002472946,0.0000560378,0.00005317374,0.0003891383,0.0006246273,0.01130147],"category_scores_gemma":[0.0001733929,0.0002933475,0.0001897224,0.00005545966,0.00009899317,0.00002960724,0.00008573207,0.0004757872,0.000001085993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004176849,"about_ca_system_score_gemma":0.0003317409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001884046,"about_ca_topic_score_gemma":0.00003508294,"domain_scores_codex":[0.9981482,0.00001297897,0.0003262331,0.0004599526,0.0007085314,0.0003440938],"domain_scores_gemma":[0.9986354,0.00003355832,0.0002127966,0.0007444323,0.0002206936,0.0001531892],"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":[0.00006840066,0.00003145401,8.998742e-7,0.0001659517,0.00009339052,0.00005342416,0.000001916564,6.500792e-7,0.04573359,0.00003267975,0.951379,0.00243866],"study_design_scores_gemma":[0.0007066439,0.00001417407,3.235465e-7,0.0002500013,0.00008337298,0.00001024622,0.000003654148,0.00002219812,0.00564367,0.001263949,0.991617,0.0003847933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000361982,0.000392236,0.0002584006,0.0001747525,0.0002868271,0.00006659561,0.9976072,0.00005642453,0.0007956087],"genre_scores_gemma":[0.0002795387,0.0005720284,0.00003806453,0.0001434548,0.0009213662,0.000006879689,0.9975802,0.000043025,0.0004154077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04023799,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005978876404128084,"score_gpt":0.3424915296337848,"score_spread":0.3365126532296567,"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."}}