{"id":"W2271187493","doi":"10.1021/acs.iecr.5b04144","title":"Process for Glycine Production by Antisolvent Crystallization Using Its Phase Equilibria in the Ethylene Glycol–NH<sub>4</sub>Cl–Water System","year":2016,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Chemical and Physical Properties in Aqueous Solutions","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Solubility; Ethylene glycol; Crystallization; Chemistry; Glycine; Solvent; Methanol; Phase (matter); Electrolyte; Chemical engineering; Thermodynamics; Organic chemistry; Physical chemistry; Amino acid","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":[0.0001244646,0.0003521857,0.0003605823,0.0001221979,0.0002183368,0.0002026907,0.0002862189,0.0002562445,0.0005042537],"category_scores_gemma":[0.0001275314,0.0001818256,0.000335313,0.0001288554,0.0002015208,0.0003618776,0.0002553748,0.0003991775,0.0002018912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390627,"about_ca_system_score_gemma":0.0003102281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263534,"about_ca_topic_score_gemma":0.001353467,"domain_scores_codex":[0.9999335,0.000006068277,0.000004052905,0.00001737395,0.00002939311,0.000009615516],"domain_scores_gemma":[0.9999669,0.000009325901,0.000008158902,0.000004188978,0.000007365922,0.000004158917],"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":[0.00004575218,0.00002184321,0.0003097317,0.00005608632,0.000006743981,0.00008779439,0.00002786897,0.005778179,0.9905543,0.000378204,0.00007308598,0.002660475],"study_design_scores_gemma":[0.00001134273,0.00007632016,0.0004740298,0.000002761294,0.000007883875,0.00005065111,0.00001296574,0.04936308,0.9485481,0.00009505156,0.001350065,0.000007730877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148713,0.0006287021,0.08149554,0.0001352198,0.00005211814,0.00009172841,0.000195539,0.0003518451,0.002177962],"genre_scores_gemma":[0.9596676,0.0007019426,0.03735851,0.00002574767,0.000009519273,0.00007916913,0.0001480889,0.0000638421,0.001945615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001263534,"threshold_uncertainty_score":0.00283426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172644349168998,"score_gpt":0.349034625190439,"score_spread":0.2317701902735392,"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."}}