{"id":"W2006142243","doi":"10.1021/ie9903184","title":"Correlation of Activity Coefficients in Electrolyte Solutions Using a Kelvin Hard Sphere−Mean Spherical Approximation (K-MSA) Model","year":2000,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Activity coefficient; Ion; Electrolyte; Ionic bonding; Spherical model; Aqueous solution; Thermodynamics; Chemistry; Range (aeronautics); Function (biology); Materials science; Physics; Physical chemistry; Condensed matter physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005232622,0.0004758643,0.0007353345,0.0004003997,0.0003176802,0.0007973847,0.0009006577,0.0006928477,0.000844539],"category_scores_gemma":[0.002320536,0.0002804713,0.0004311502,0.0006114283,0.0004971625,0.001361072,0.0003507489,0.0006884302,0.0003908124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007174156,"about_ca_system_score_gemma":0.0009290321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137818,"about_ca_topic_score_gemma":0.002351097,"domain_scores_codex":[0.9997923,0.00004983983,0.00001533971,0.00003790009,0.0000786247,0.00002593064],"domain_scores_gemma":[0.9992117,0.0004193705,0.00005822848,0.0001039846,0.0001750312,0.00003177182],"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":[0.00008406483,0.00003812387,0.002087872,0.0000963717,0.00002738658,0.0001527651,0.00011326,0.9105897,0.02540589,0.04791714,0.0006659639,0.01282154],"study_design_scores_gemma":[0.000002818735,0.00000481602,0.0001127497,0.000001355919,0.00000118804,0.00001019967,0.000003796963,0.9951871,0.002159033,0.00235176,0.0001592165,0.000005964855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3390286,0.0005061305,0.653785,0.0002683055,0.0000926258,0.00009748875,0.0002710954,0.0008005449,0.005150267],"genre_scores_gemma":[0.9398664,0.0004661097,0.05699147,0.00007792284,0.00002609556,0.0001087123,0.0002840449,0.0001120688,0.002067304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004137818,"threshold_uncertainty_score":0.008227468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08759604677806011,"score_gpt":0.3038054916871094,"score_spread":0.2162094449090493,"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."}}