{"id":"W2055161319","doi":"10.1016/j.jct.2007.03.010","title":"Molar excess enthalpy <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si25.gif\" overflow=\"scroll\"><mml:mrow><mml:mo stretchy=\"false\">(</mml:mo><mml:msubsup><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mtext>m</mml:mtext></mml:mrow><mml:mrow><mml:mtext>E</mml:mtext></mml:mrow></mml:msubsup><mml:mo stretchy=\"false\">)</mml:mo></mml:mrow></mml:math> for various {alkanolamine (1) + water (2)} systems at T= (298.15, 313.15, and 323.15) K","year":2007,"lang":"lv","type":"article","venue":"The Journal of Chemical Thermodynamics","topic":"Thermodynamic properties of mixtures","field":"Chemical Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Chemistry; UNIQUAC; UNIFAC; Alkanolamine; Enthalpy; Non-random two-liquid model; Thermodynamics; Mole fraction; Activity coefficient; Ethanol; Molar; Physical chemistry; Organic chemistry; Aqueous solution","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":[0.0003439621,0.0007137046,0.0006741513,0.0008515652,0.0009192922,0.0007420941,0.00160898,0.0004990424,0.1207585],"category_scores_gemma":[0.001196764,0.0005529902,0.0002676805,0.0009814687,0.0003911969,0.001988752,0.0004354336,0.001693279,0.01678864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077045,"about_ca_system_score_gemma":0.0005283587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536193,"about_ca_topic_score_gemma":0.004357845,"domain_scores_codex":[0.9997216,0.00001807311,0.00001076723,0.00005514151,0.0001424364,0.00005203639],"domain_scores_gemma":[0.9997203,0.0001043481,0.00003001317,0.00004517029,0.00007293108,0.00002720107],"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":[0.003021882,0.0003589571,0.006506857,0.003429538,0.000249191,0.0007544667,0.0008209928,0.03209095,0.5918003,0.06805757,0.2172474,0.07566201],"study_design_scores_gemma":[0.000135156,0.0002432017,0.009521168,0.00007385434,0.00004627247,0.0002734682,0.0003443884,0.0358004,0.8784794,0.00678031,0.06809281,0.000209536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6479642,0.00530188,0.04817658,0.004615896,0.001763094,0.0002346413,0.08932716,0.01580741,0.1868091],"genre_scores_gemma":[0.8852507,0.003284095,0.01171849,0.0003963042,0.0001203221,0.0003468359,0.03522227,0.003234231,0.06042674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207585,"threshold_uncertainty_score":0.4039775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262971863307438,"score_gpt":0.2242977864490784,"score_spread":0.211668067816004,"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."}}