{"id":"W4290652657","doi":"10.1007/s40789-022-00527-8","title":"Thermodynamics fundamentals and energy efficiency for the separation and high-valued utilization of Fischer–Tropsch heavy oil","year":2022,"lang":"en","type":"article","venue":"International Journal of Coal Science & Technology","topic":"Process Optimization and Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Key Research and Development Program of Ningxia","keywords":"Distillation; Chemistry; Fischer–Tropsch process; Thermodynamics; Air separation; Vacuum distillation; Process engineering; Separation process; Theoretical plate; Dodecane; Chromatography; Organic chemistry; Catalysis","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":[0.0003447305,0.00005749142,0.00008568381,0.0003805023,0.0001521342,0.0000402888,0.0003348958,0.00003081205,0.00001766784],"category_scores_gemma":[0.00008782368,0.00004430804,0.00001860538,0.0003384473,0.0002519372,0.0002460931,0.00006747781,0.00009181842,6.100738e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000968,"about_ca_system_score_gemma":0.00006676477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006398535,"about_ca_topic_score_gemma":0.000007491477,"domain_scores_codex":[0.9992656,0.00001112814,0.0002473944,0.00007975761,0.0003144676,0.00008164292],"domain_scores_gemma":[0.9994133,0.00004068247,0.0001600968,0.00005328717,0.0003134703,0.00001918783],"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":[0.000113775,0.00006952796,0.0004276348,0.00001028568,0.00005317717,0.000001209096,0.0004022607,0.772191,0.04183552,0.0769202,0.0001148507,0.1078605],"study_design_scores_gemma":[0.0003952626,0.0002173421,0.000290441,0.00001252432,0.00001182149,0.0000791611,0.0005732963,0.972564,0.0202136,0.002112393,0.003468978,0.00006115684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1772823,0.001043495,0.8191184,0.001411499,0.0006111722,0.00004466198,0.00001664178,0.0000294138,0.0004423746],"genre_scores_gemma":[0.9984246,0.0005331564,0.0008875935,0.00006014209,0.00002191258,0.00001174143,0.000003496424,0.0000050091,0.00005231546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8211423,"threshold_uncertainty_score":0.1806829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117048430480577,"score_gpt":0.2778006845540286,"score_spread":0.2666302002492228,"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."}}