{"id":"W4223443123","doi":"10.1002/cjce.24416","title":"New separation function for the stationary screening process","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Separation (statistics); Function (biology); Separation process; Process (computing); Stationary process; Measure (data warehouse); Mathematics; Correlation function (quantum field theory); Computer science; Statistics; Chemistry; Chromatography; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530043,0.0009136609,0.0006294529,0.001208122,0.0003803179,0.001347776,0.0009476566,0.001034909,0.001661948],"category_scores_gemma":[0.002415427,0.0003010793,0.001179581,0.0006451593,0.0008239889,0.001879295,0.0005502887,0.001123556,0.001149093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535045,"about_ca_system_score_gemma":0.0008719945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933619,"about_ca_topic_score_gemma":0.0006739779,"domain_scores_codex":[0.9992846,0.0001288346,0.00003809182,0.000133539,0.000337931,0.0000770601],"domain_scores_gemma":[0.9988652,0.0004395687,0.0001567006,0.000127646,0.000369538,0.00004135258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002530066,0.0002145251,0.003109761,0.0003651553,0.0000830408,0.0002850382,0.0002141806,0.6430963,0.1261168,0.1265028,0.002540056,0.09721939],"study_design_scores_gemma":[0.000005053039,0.00003695608,0.0003956762,0.000005828673,0.00001293397,0.00006195971,0.000006265137,0.9822924,0.01160055,0.004152377,0.001411234,0.00001873892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02746539,0.0002483144,0.968263,0.00009263278,0.00004710519,0.00004991867,0.00006000567,0.000354868,0.003418792],"genre_scores_gemma":[0.8498956,0.0007661441,0.1267343,0.000240712,0.0001057149,0.0002350009,0.00047997,0.0004551039,0.02108757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001933619,"threshold_uncertainty_score":0.01113755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007322451149402141,"score_gpt":0.2050798588565422,"score_spread":0.1977574077071401,"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."}}