{"id":"W4241260171","doi":"10.1515/iupac.80.0171","title":"Solubilization","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; Solubility; Chemical nomenclature; Solubilization; Order (exchange); Chemistry; Polymer science; Philosophy; Organic chemistry; Linguistics; Psychology; 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":[0.00008523023,0.0003799771,0.0004084204,0.00005369933,0.00006256226,0.00004370301,0.0004258435,0.0006504912,0.01332885],"category_scores_gemma":[0.0002762038,0.0002922655,0.0001973426,0.00007551541,0.00008917123,0.00002715502,0.0001864868,0.0004235502,0.000001053618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636284,"about_ca_system_score_gemma":0.0002939272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002456948,"about_ca_topic_score_gemma":0.0001058273,"domain_scores_codex":[0.9981537,0.00001159462,0.0003216857,0.0004856226,0.0007016637,0.0003256689],"domain_scores_gemma":[0.9985026,0.00003268543,0.0002001807,0.0008742834,0.0002504034,0.000139899],"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":[0.00005028207,0.00005228036,7.471596e-7,0.000228334,0.00007884746,0.00003284934,0.000002096859,0.000001017478,0.009910836,0.00001775972,0.9857163,0.003908637],"study_design_scores_gemma":[0.0005414783,0.0000132425,4.591039e-7,0.0002822509,0.0000820102,0.00001354619,0.000003093219,0.00002346062,0.002063647,0.0009288748,0.9956591,0.0003888355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003183072,0.0003717137,0.0002641443,0.0001265865,0.0002621843,0.00005812597,0.9981216,0.00006844675,0.0004089394],"genre_scores_gemma":[0.0001007659,0.0005717478,0.00002380861,0.0001257142,0.0008293448,0.000006894839,0.9976977,0.00005438941,0.0005896649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0133278,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006808513826070314,"score_gpt":0.3531151274805521,"score_spread":0.3463066136544817,"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."}}