{"id":"W2926861743","doi":"10.1007/s00397-019-01128-0","title":"Degradation in parallel-disk rheometry","year":2019,"lang":"en","type":"article","venue":"Rheologica Acta","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Degradation (telecommunications); Chemistry; Rheometer; Oxygen; Blanketing; Sample (material); Nitrogen; Analytical Chemistry (journal); Mechanics; Thermodynamics; Chromatography; Rheology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000166544,0.0001435125,0.0002468554,0.0001021266,0.00003397989,0.000006613354,0.0002015993,0.0001930391,0.0006649357],"category_scores_gemma":[0.0002047965,0.0001192042,0.0000548127,0.0002464341,0.00005438444,0.00009887583,0.0001146971,0.0002722795,0.0004144986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005036915,"about_ca_system_score_gemma":0.000008038654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001735471,"about_ca_topic_score_gemma":0.00001334613,"domain_scores_codex":[0.9990811,0.00003120045,0.0002219979,0.0002708129,0.00009349196,0.0003014317],"domain_scores_gemma":[0.9994574,0.000210292,0.00004484368,0.0002307668,0.00002067435,0.00003608238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001605189,0.0002052284,0.5238868,0.00006692412,0.000098885,0.00002373284,0.0002916082,0.005212734,0.1209451,0.34669,0.0009117533,0.001506714],"study_design_scores_gemma":[0.002094611,0.0001690403,0.2736312,0.00006161617,0.00002135597,0.00002043909,0.0002318767,0.7162201,0.001390174,0.003530044,0.001889063,0.00074047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642404,0.0002861875,0.01239498,0.0004705832,0.00021345,0.0001572885,0.000003381487,0.0001386413,0.02209512],"genre_scores_gemma":[0.9815886,0.0001703491,0.002515167,0.0001266839,0.00002358704,0.00001926608,0.00002405737,0.00001051462,0.01552176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7110074,"threshold_uncertainty_score":0.7280579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009846543816634872,"score_gpt":0.2225072178657567,"score_spread":0.2126606740491218,"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."}}