{"id":"W2101698498","doi":"10.1351/pac-rep-09-10-33","title":"The IUPAC-NIST Solubility Data Series: A guide to preparation and use of compilations and evaluations (IUPAC Technical Report)","year":2010,"lang":"en","type":"article","venue":"Pure and Applied Chemistry","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Chemical nomenclature; Terminology; Solubility; NIST; Chemistry; Squalane; Process engineering; Information retrieval; Organic chemistry; Computer science; Engineering; Natural language processing","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":[0.03436123,0.002916883,0.002564997,0.02163441,0.002576483,0.006923295,0.006967179,0.00198137,0.04296294],"category_scores_gemma":[0.06470368,0.002569916,0.002107064,0.0205044,0.001838425,0.007924183,0.005360733,0.004809155,0.08432286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003490813,"about_ca_system_score_gemma":0.01635348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008028883,"about_ca_topic_score_gemma":0.007443143,"domain_scores_codex":[0.9637843,0.008747501,0.006631475,0.001454283,0.01863909,0.0007433876],"domain_scores_gemma":[0.9515658,0.009128612,0.003365295,0.00788847,0.027396,0.0006558227],"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":[0.0001314655,0.0002259355,0.001180621,0.002957315,0.00004885414,0.0001389312,0.0003087983,0.001359106,0.005364197,0.01594635,0.7231353,0.2492031],"study_design_scores_gemma":[0.00001809419,0.0000680766,0.000866165,0.0007976214,0.00002245352,0.0001586797,0.0001532894,0.000567069,0.007013401,0.004225848,0.9860491,0.00006015927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.006483624,0.02646006,0.3566344,0.006881728,0.008339626,0.01497153,0.3758282,0.02495657,0.1794442],"genre_scores_gemma":[0.01088465,0.03213666,0.5363597,0.001856229,0.001739897,0.01997039,0.3268547,0.01144119,0.05875658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04296294,"threshold_uncertainty_score":0.1817217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572450090262455,"score_gpt":0.3284754779079908,"score_spread":0.3127509770053662,"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."}}