{"id":"W2011584461","doi":"10.1016/j.ces.2012.03.029","title":"Enthalpy of mixing for the determination of mixing efficiency of microstructured mixers by isothermal heat balance calorimetry","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universität Stuttgart; RWTH Aachen University; Ryerson University","keywords":"Mixing (physics); Dimensionless quantity; Calorimetry; Enthalpy; Thermodynamics; Isothermal process; Enthalpy of mixing; Chemistry; Enthalpy of fusion; Standard enthalpy of reaction; Reaction calorimeter; Isothermal titration calorimetry; Materials science; Differential scanning calorimetry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002114271,0.0005521018,0.000655811,0.001925743,0.0005548722,0.000601661,0.001068095,0.0005850493,0.001605873],"category_scores_gemma":[0.002291349,0.0004326531,0.0005028318,0.001484522,0.0003510773,0.000646135,0.000341754,0.0009229291,0.0006113152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006950579,"about_ca_system_score_gemma":0.0005549867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224693,"about_ca_topic_score_gemma":0.003123225,"domain_scores_codex":[0.9984884,0.0002605225,0.00009291131,0.0002164055,0.0008449967,0.00009671028],"domain_scores_gemma":[0.9993269,0.0002920017,0.00006436688,0.00009519205,0.0001976749,0.0000239322],"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":[0.000132916,0.00006069072,0.001957742,0.0001226418,0.00002577285,0.00002191339,0.00007018606,0.001018949,0.9808303,0.0008247073,0.0001756937,0.01475847],"study_design_scores_gemma":[0.000004011485,0.00005686051,0.003791699,0.00000576087,0.00002176428,0.00002094794,0.00001379479,0.005530253,0.9894008,0.00007434093,0.001068582,0.00001113783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6662225,0.006361945,0.3175573,0.0001893758,0.0002650876,0.0003746672,0.002789085,0.0008610854,0.005378962],"genre_scores_gemma":[0.8822941,0.00207884,0.1106034,0.0000616427,0.00005632026,0.0003620603,0.001430784,0.000183192,0.00292977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002114271,"threshold_uncertainty_score":0.01118141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005659850921959143,"score_gpt":0.226777241167907,"score_spread":0.2211173902459478,"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."}}