{"id":"W2038048471","doi":"10.1002/cjce.5450820303","title":"Development of a Continuous High‐Efficiency Laboratory Fibre Fractionator","year":2004,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"MATLAB; Computer science; Process engineering; Simulation; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003382966,0.00007404052,0.0001706305,0.0002380224,0.00008713843,0.00008281663,0.0005060231,0.00004548423,0.0001573936],"category_scores_gemma":[0.003050578,0.00004797562,0.00006126168,0.0005627958,0.00005996477,0.000135799,0.00001049524,0.0001649711,0.00001562259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812535,"about_ca_system_score_gemma":0.002126898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331472,"about_ca_topic_score_gemma":0.0002049865,"domain_scores_codex":[0.9979684,0.00001990993,0.0006141336,0.00009635965,0.001127897,0.0001732892],"domain_scores_gemma":[0.998323,0.0001685516,0.0002757855,0.0001618757,0.000827175,0.000243637],"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":[0.00002489935,0.00003317363,0.0003360171,0.00001162556,0.00006092582,0.00001585975,0.004346037,0.09531832,0.8860206,0.003659773,0.001600889,0.00857189],"study_design_scores_gemma":[0.001030668,0.00003350435,0.002184857,0.0001633089,0.00003042339,0.00003715104,0.0004159049,0.002208543,0.9736911,0.003627103,0.01633856,0.000238855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940237,0.0001508903,0.00438301,0.0006515429,0.0006499665,0.00005236282,0.000003397835,0.000003728871,0.00008134415],"genre_scores_gemma":[0.9963788,1.271612e-7,0.003478222,0.00003031606,0.00008587553,8.70023e-7,5.999893e-7,0.000004814214,0.00002035258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09310978,"threshold_uncertainty_score":0.3773026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685429147494514,"score_gpt":0.2859117794076837,"score_spread":0.2290574879327386,"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."}}