{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001739982,0.0004978789,0.0005886174,0.00004695144,0.00007167749,0.00004784444,0.0006634899,0.0007682436,0.02074029],"category_scores_gemma":[0.000417208,0.0003658505,0.0003337091,0.00007632704,0.0001711235,0.00002604341,0.0003157455,0.0007098578,0.000001452252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123597,"about_ca_system_score_gemma":0.0004115658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000062909,"about_ca_topic_score_gemma":0.0001534663,"domain_scores_codex":[0.9975042,0.00001741083,0.0004173387,0.0007556949,0.000863837,0.0004415126],"domain_scores_gemma":[0.9976318,0.00005297959,0.0002198006,0.001613672,0.0002627837,0.0002189376],"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":[0.00009503156,0.00008566532,0.000001513428,0.0002960891,0.0001118522,0.00006118024,0.000001975028,2.384514e-7,0.009367681,0.000009460008,0.9859042,0.004065153],"study_design_scores_gemma":[0.0006301152,0.00001528212,0.000001820258,0.0002459292,0.00008929606,0.00001726694,0.000003883297,0.000005427386,0.002262651,0.001379737,0.994868,0.0004805709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001420431,0.0004596811,0.00004630542,0.0001808437,0.0002768854,0.00006972671,0.9968482,0.00007336362,0.0006245982],"genre_scores_gemma":[0.0002120726,0.000334149,0.00002381343,0.0001220617,0.0008639838,0.000007707823,0.9977582,0.00005229933,0.0006257762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02073883,"threshold_uncertainty_score":0.9998794,"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."}}