{"id":"W4245438421","doi":"10.1515/iupac.80.0107","title":"Immiscibility","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); Nomenclature; Order (exchange); Chemistry; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Anthropology; Taxonomy (biology); 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":[0.001378039,0.002500982,0.001812119,0.004240316,0.001279467,0.003740602,0.003912117,0.002513783,0.05025568],"category_scores_gemma":[0.01108226,0.0007139334,0.002706471,0.005926204,0.0007763614,0.00349104,0.002892766,0.002466301,0.0615046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178101,"about_ca_system_score_gemma":0.00319716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0164111,"about_ca_topic_score_gemma":0.03133368,"domain_scores_codex":[0.9981207,0.0002308275,0.0002801157,0.0006406432,0.0004758394,0.0002518685],"domain_scores_gemma":[0.996852,0.0009697964,0.0003946737,0.0009574255,0.0006307464,0.0001954069],"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":[0.0002907589,0.00005561506,0.003947262,0.003775283,0.0001344977,0.00009943743,0.00006795831,0.001125373,0.0003527793,0.003215602,0.9764491,0.01048624],"study_design_scores_gemma":[0.0002116036,0.0000248967,0.004324837,0.0008911932,0.00006657837,0.0001704949,0.00008167425,0.0007274331,0.0005822235,0.004471734,0.9884105,0.00003685882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003655861,0.0004351947,0.0001751652,0.0001025554,0.00004032918,0.00001968855,0.9969972,0.0004242051,0.001440082],"genre_scores_gemma":[0.0009979223,0.0002677378,0.0005178698,0.00009337488,0.00001093278,0.00007246194,0.9973368,0.00006861795,0.0006342499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9497443,"threshold_uncertainty_score":0.168122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006845205392389503,"score_gpt":0.360549815583652,"score_spread":0.3537046101912624,"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."}}