{"id":"W3012319113","doi":"10.1002/cjce.23749","title":"Experimental methods in chemical engineering: Rheometry","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rheometry; Rheometer; Rheology; Materials science; Viscometer; Viscoelasticity; Viscosity; Polymer science; Composite material; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003583727,0.0002654856,0.0004731481,0.0001798716,0.0000344742,0.00002910548,0.0005739782,0.0002040289,0.00007757522],"category_scores_gemma":[0.001338491,0.0002261482,0.0001826598,0.0004987701,0.0000922415,0.0001088642,0.00006836477,0.001157102,0.000008764317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215664,"about_ca_system_score_gemma":0.0001361462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001276116,"about_ca_topic_score_gemma":0.000004039734,"domain_scores_codex":[0.9984992,0.0000199254,0.0005803898,0.000180206,0.000176742,0.0005435097],"domain_scores_gemma":[0.9987426,0.0003066022,0.00008202853,0.0001583082,0.00005736472,0.0006531414],"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":[0.00001876386,0.000009766463,0.000128225,0.00003251381,0.00007931377,0.00007770245,0.0007308027,0.04083022,0.9538369,0.003990193,0.0001262992,0.0001393127],"study_design_scores_gemma":[0.0004358682,0.0000231233,0.00003358314,0.00005355552,0.00001912895,0.000109968,0.00002884703,0.4469803,0.5517201,0.00001847821,0.0003494612,0.0002275861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8641938,0.005988681,0.1247148,0.003637817,0.0007614672,0.0001837549,0.00001035123,0.000105559,0.000403714],"genre_scores_gemma":[0.9762987,0.000002605737,0.02303394,0.0002270946,0.0003642057,0.000006084021,0.000001916594,0.00004782951,0.00001757913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4061501,"threshold_uncertainty_score":0.9222054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549527287289541,"score_gpt":0.2514280108183483,"score_spread":0.2359327379454529,"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."}}