{"id":"W4303953721","doi":"10.1002/cjce.24709","title":"Solubility correlation by model with partial molar volume","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Solubility; Mole fraction; Thermodynamics; Solvent; Partial molar property; Molar; Volume fraction; Correlation coefficient; Volume (thermodynamics); Absolute deviation; Chemistry; Hildebrand solubility parameter; Molar volume; Binary number; Work (physics); Materials science; Physical chemistry; Organic chemistry; Mathematics; Statistics; Physics; Orthodontics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004230642,0.00006629901,0.0001132884,0.00002890352,0.0002014863,0.00003833106,0.0001909034,0.00001861496,0.0003251933],"category_scores_gemma":[0.0001117022,0.00005033087,0.00003466341,0.00009559637,0.0000616207,0.00007962485,0.00002377354,0.0002165346,0.000001567008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002569699,"about_ca_system_score_gemma":0.0002490487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004099082,"about_ca_topic_score_gemma":0.0001136595,"domain_scores_codex":[0.99932,0.00002141095,0.0001926887,0.00007330308,0.0002179335,0.0001746698],"domain_scores_gemma":[0.9995645,0.00002994137,0.0000715541,0.0001009338,0.00006737989,0.0001656967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001737145,0.000007503601,0.0003162042,0.000005676857,0.000008311211,0.000004115219,0.0006793234,0.8738316,0.1222434,0.0001860862,0.002681857,0.00001853653],"study_design_scores_gemma":[0.00033632,0.00005868248,0.00005523699,0.00001044221,0.0000297702,0.00007924189,0.00009882115,0.9604783,0.0299065,0.0001760448,0.008606506,0.000164142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761509,0.0001539038,0.0223131,0.001084409,0.0001576859,0.00005791197,0.00002747222,0.00001159149,0.00004306865],"genre_scores_gemma":[0.9994487,2.954456e-7,0.0003315593,0.00007445602,0.00003630929,0.00000406245,0.000002705546,0.000008336266,0.00009360662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09233695,"threshold_uncertainty_score":0.3560638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00862833998900899,"score_gpt":0.181571879542291,"score_spread":0.172943539553282,"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."}}