{"id":"W4214589978","doi":"10.1002/cjce.5450790103","title":"Éditorial","year":2001,"lang":"fr","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":"Carreau fluid; Citation; Computer science; Library science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002139246,0.0001444431,0.0001713877,0.0001238802,0.00005126742,0.0001178162,0.0002845853,0.00016663,0.0004390346],"category_scores_gemma":[0.0003452472,0.000123992,0.0001009414,0.0002740317,0.00005257551,0.0002527821,0.000005279926,0.0006013979,0.00003061402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952583,"about_ca_system_score_gemma":0.0004143499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174476,"about_ca_topic_score_gemma":0.000326419,"domain_scores_codex":[0.9991059,0.000009879786,0.000350018,0.00005525156,0.0001571798,0.0003217682],"domain_scores_gemma":[0.9991144,0.00005801594,0.00006573755,0.0001043151,0.0001852538,0.0004723122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001024181,0.000007900149,0.00004327832,0.0000611953,0.0001040875,0.00009444119,0.0006129787,0.9446757,0.01297352,0.008273642,0.02740824,0.005734793],"study_design_scores_gemma":[0.0006445762,0.00004287859,0.00002714637,0.0004176646,0.00009911657,0.001052889,0.00002732497,0.4201948,0.04699712,0.0006510316,0.5294849,0.0003605295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3595386,0.09885392,0.2792079,0.07172887,0.1650099,0.0006301242,0.00008269316,0.0002772856,0.02467068],"genre_scores_gemma":[0.9891179,0.0001065499,0.002279183,0.0000816842,0.007832528,0.000001305726,0.00000276116,0.00004226927,0.0005358348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6295792,"threshold_uncertainty_score":0.5056245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006436838453821175,"score_gpt":0.1811498057404809,"score_spread":0.1747129672866597,"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."}}