{"id":"W2102509719","doi":"10.1002/cjce.5450790606","title":"Three‐phase fluidized distillation","year":2001,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distillation; Fractional distillation; Tray; Materials science; Continuous distillation; Fluidized bed; Mass transfer; Chromatography; Reboiler; Thermodynamics; Chemical engineering; Chemistry; Mechanical engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009618367,0.00007793414,0.00009634196,0.00008878765,0.0000308303,0.00004763354,0.0001315727,0.00004787722,0.00008597112],"category_scores_gemma":[0.0001168464,0.00005974895,0.00004394506,0.0001715964,0.00001646496,0.0001310272,0.000002033702,0.0001812044,0.000005059233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337316,"about_ca_system_score_gemma":0.00007677114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007248112,"about_ca_topic_score_gemma":0.0001806465,"domain_scores_codex":[0.9995296,0.000002122592,0.0002045124,0.00003285633,0.00008871173,0.0001421885],"domain_scores_gemma":[0.999605,0.00002123395,0.00002840392,0.00006864286,0.00007963125,0.0001971038],"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":[0.00002143547,0.000008426266,0.0001155199,0.00003138755,0.00007720487,0.00003521266,0.000364184,0.8188615,0.1638819,0.002184715,0.003855266,0.01056319],"study_design_scores_gemma":[0.0004698326,0.00001409277,0.00002784735,0.00004216579,0.0000172624,0.0001335381,0.00000403829,0.937938,0.05320477,0.0002250939,0.007804262,0.000119084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5972469,0.001212712,0.3982254,0.0009388028,0.0006982668,0.0001033681,0.000006090005,0.0001040453,0.00146445],"genre_scores_gemma":[0.9989855,0.00001072585,0.0007605252,0.00003480625,0.0001818547,0.000001173015,0.000003600528,0.00001644946,0.000005412407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4017386,"threshold_uncertainty_score":0.2436491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008978565775988653,"score_gpt":0.199014716182675,"score_spread":0.1900361504066863,"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."}}