{"id":"W4220857409","doi":"10.1080/10916466.2022.2043368","title":"Estimating mutual solubility of a CO<sub>2</sub> in NaCl aqueous solution system using connectionist approaches","year":2022,"lang":"en","type":"article","venue":"Petroleum Science and Technology","topic":"Chemical and Physical Properties in Aqueous Solutions","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Solubility; Aqueous solution; Chemistry; Connectionism; Thermodynamics; Chemical engineering; Computer science; Physical chemistry; Artificial intelligence; Artificial neural network; Physics","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":[0.0004944382,0.0001157589,0.0002391535,0.000247355,0.000567949,0.00001592613,0.0002999665,0.00007748356,0.000004250407],"category_scores_gemma":[0.0003132751,0.0001159281,0.00003267017,0.001098558,0.001239745,0.0001048804,0.0004354114,0.0004351953,0.0000016464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698301,"about_ca_system_score_gemma":0.0001126161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410536,"about_ca_topic_score_gemma":0.00001015538,"domain_scores_codex":[0.998605,0.00002469335,0.0003034248,0.0003868996,0.0003048101,0.0003752349],"domain_scores_gemma":[0.9995026,0.00006251151,0.00009555737,0.0002292486,0.00005896785,0.00005113348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001314804,0.00009166403,0.0004450602,0.00008515836,0.000004781288,0.00000250732,0.00008581999,0.01226993,0.9764864,0.007055082,0.000004375501,0.003456053],"study_design_scores_gemma":[0.0001558185,0.000050718,0.00001176414,0.00002143476,0.000006361578,0.00007234336,0.0004253165,0.7312514,0.2671678,0.0007197892,0.00001810947,0.00009916042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922165,0.0001417413,0.00644261,0.0001870435,0.0001125747,0.0000961183,0.0000123187,0.0001766703,0.0006144012],"genre_scores_gemma":[0.9987846,9.339754e-7,0.001113634,0.000007270278,0.00002552597,0.00005198551,0.000002638949,0.000008540562,0.000004841317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7189814,"threshold_uncertainty_score":0.4727411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525779917087208,"score_gpt":0.2305759424433595,"score_spread":0.2053181432724875,"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."}}