{"id":"W4231284035","doi":"10.1515/iupac.80.0169","title":"Solubility Parameter","year":2016,"lang":"kn","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Confusion; Glossary; Solubility; Chemical nomenclature; Order (exchange); Diversity (politics); Nomenclature; Chemistry; Thermodynamics; Polymer science; Philosophy; Organic chemistry; Sociology; Physics; Linguistics; Psychology; Taxonomy (biology); Anthropology","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":[0.001174463,0.002530881,0.001839086,0.005109488,0.0009812729,0.003183782,0.002695511,0.002151478,0.03919214],"category_scores_gemma":[0.0079507,0.0005120851,0.002366384,0.005905731,0.0005093932,0.003447513,0.001749098,0.002686964,0.06877541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674961,"about_ca_system_score_gemma":0.002206093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047447,"about_ca_topic_score_gemma":0.01937453,"domain_scores_codex":[0.9983308,0.0001738835,0.0002884779,0.0006386933,0.0003776402,0.0001905708],"domain_scores_gemma":[0.9979219,0.0006195788,0.0002692706,0.0004762575,0.0005816373,0.0001314132],"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":[0.0003413578,0.0001019613,0.006381099,0.00200815,0.0001497661,0.00007627015,0.00004926381,0.001162645,0.0005655359,0.001342573,0.9737051,0.0141163],"study_design_scores_gemma":[0.0003217008,0.00006951598,0.00964861,0.0004399231,0.0001211004,0.0003019472,0.0001574793,0.001978924,0.001194156,0.00352626,0.9821724,0.0000679598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009887195,0.0004480374,0.0002945863,0.000127959,0.00009182857,0.00003817343,0.9957182,0.0007388636,0.001553674],"genre_scores_gemma":[0.001517126,0.0002067204,0.0007446971,0.0000802174,0.00002144363,0.00009369908,0.9963778,0.00008735464,0.0008709585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03919214,"threshold_uncertainty_score":0.1311108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744232744271756,"score_gpt":0.3732000815186036,"score_spread":0.3557577540758861,"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."}}