{"id":"W7132224492","doi":"","title":"Real-time diagnosing polymer extruding behaviour during rheometer processing(II)","year":2014,"lang":"zh","type":"article","venue":"NPARC","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rheometer; Viscoelasticity; Rheology; Polymer; Relaxation (psychology); Viscosity; Shear thinning; Rheometry","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":[0.0003826481,0.0004181136,0.0003000706,0.0005282374,0.0001495602,0.0004291303,0.0003377933,0.0006168208,0.00171235],"category_scores_gemma":[0.0007562469,0.0002280996,0.0001310198,0.0003819258,0.0002412289,0.000625516,0.0001795251,0.0003850554,0.0004487757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254734,"about_ca_system_score_gemma":0.0001261657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002054989,"about_ca_topic_score_gemma":0.0002743009,"domain_scores_codex":[0.9997943,0.00003099008,0.00001451066,0.00006936463,0.00007005174,0.00002076443],"domain_scores_gemma":[0.9995679,0.0001365357,0.0000783295,0.00004866986,0.0001353421,0.00003319246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002733178,0.00003072211,0.001759027,0.00009144311,0.000005270243,0.0001046069,0.00008899721,0.0001832573,0.9785216,0.00006717203,0.0001284903,0.0187462],"study_design_scores_gemma":[0.00001473388,0.0003819822,0.0118037,0.000008306499,0.00002175552,0.0003356081,0.00008055639,0.01404023,0.9718106,0.00005965623,0.00141923,0.00002365891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.863088,0.0006771893,0.1311605,0.0001128065,0.0001295023,0.0001327511,0.0005365626,0.002423725,0.001739066],"genre_scores_gemma":[0.9325376,0.0003708431,0.06409098,0.00006198947,0.0000362682,0.0001101681,0.0002111302,0.00008863186,0.002492475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00171235,"threshold_uncertainty_score":0.005728364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007103037002472894,"score_gpt":0.2207219724911361,"score_spread":0.2136189354886632,"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."}}