{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001788949,0.0001387124,0.000158275,0.000005513771,0.0002143623,0.0001024744,0.0001715114,0.0001749529,0.00003776902],"category_scores_gemma":[0.0003085395,0.0001129671,0.00002083955,0.00005884692,0.0002721532,0.00005359568,0.0003596283,0.0002519641,8.210351e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117287,"about_ca_system_score_gemma":0.00005403837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001009869,"about_ca_topic_score_gemma":0.00007703574,"domain_scores_codex":[0.9989865,0.000003605116,0.0002997885,0.0004157737,0.0001596552,0.0001346643],"domain_scores_gemma":[0.9986519,0.0001069961,0.0001199832,0.0009320735,0.0000677166,0.0001213417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003797992,0.00001817137,0.0002017872,0.00006967036,0.00002087475,0.000001161307,0.00004207813,0.000003389012,0.9964563,0.0007583488,0.0006795315,0.00171077],"study_design_scores_gemma":[0.0004958667,0.00001028914,0.001156222,0.00003293188,0.0001609611,0.0003549298,0.0001602769,0.001713409,0.8865547,0.006873704,0.1021009,0.0003858717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914639,0.00007417516,0.0005722567,0.0005506826,0.0000150361,0.0001641386,0.0007863081,0.00003509312,0.006338389],"genre_scores_gemma":[0.9963081,0.00003551118,0.002469205,0.00002522754,0.00006596067,0.00003434017,0.0006165833,0.0000131906,0.0004318138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1099016,"threshold_uncertainty_score":0.4606663,"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."}}