{"id":"W2465769366","doi":"10.1007/978-3-319-14812-0_6","title":"Gas–Liquid Separation Operations","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Innovates","funders":"","keywords":"Separation (statistics); Chromatography; Computer science; Chemistry","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":[0.0001944023,0.00113525,0.0005706898,0.0006692443,0.0004684995,0.00151861,0.0008928329,0.0007511958,0.02291573],"category_scores_gemma":[0.0002316146,0.0003293527,0.0004801047,0.0009975031,0.000802053,0.002216376,0.001168692,0.001555963,0.01383451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009140217,"about_ca_system_score_gemma":0.0006668901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009993702,"about_ca_topic_score_gemma":0.001480218,"domain_scores_codex":[0.999739,0.00002372496,0.000009365894,0.00004926918,0.000153962,0.00002461337],"domain_scores_gemma":[0.9999576,0.00001183449,0.000002907984,0.000008885593,0.00001523416,0.000003585875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005857776,0.00009285808,0.00007662921,0.0005155782,0.00001744946,0.0001129262,0.0001019871,0.00867822,0.02159579,0.2634596,0.08031631,0.6249741],"study_design_scores_gemma":[0.000005558098,0.00004235277,0.0002225119,0.0001400352,0.000009043123,0.0002712184,0.00004762485,0.01218272,0.02433496,0.08833192,0.8743871,0.00002497394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003895663,0.01784489,0.2107375,0.001271899,0.001408616,0.00009281469,0.0003120484,0.001131124,0.7633055],"genre_scores_gemma":[0.06168113,0.02255964,0.07896419,0.001035993,0.000766514,0.000126429,0.000944996,0.0006784238,0.8332427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02291573,"threshold_uncertainty_score":0.07666075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278080710692705,"score_gpt":0.261803521116953,"score_spread":0.2339954500476825,"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."}}