{"id":"W4243680543","doi":"10.1017/jfm.2020.870","title":"Viscoelastic ribbons","year":2020,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Viscoelasticity; Mechanics; Materials science; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001097994,0.0001151513,0.0002419781,0.0000403924,0.00002241898,0.00001994059,0.0001593085,0.00005878889,0.0000895736],"category_scores_gemma":[0.00009502872,0.0001022693,0.00008764481,0.0001084748,0.000002797747,0.0001506411,0.00002503764,0.0001695731,0.00003547746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003390716,"about_ca_system_score_gemma":0.00002733155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.945668e-8,"about_ca_topic_score_gemma":1.862172e-7,"domain_scores_codex":[0.9992341,0.00001055962,0.0003555903,0.00006108393,0.0001706567,0.0001680429],"domain_scores_gemma":[0.9995458,0.00002217219,0.00008234323,0.00007912671,0.00007428798,0.0001962319],"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":[0.0000291596,0.00001128636,1.64953e-7,0.0000660424,0.00003979456,0.0000582077,0.0001515476,0.03541978,0.9497839,0.009873573,0.002820894,0.001745669],"study_design_scores_gemma":[0.001094819,0.0007192549,0.000001817314,0.0001034982,0.0001240327,0.0002420779,0.0002017008,0.3895546,0.5238907,0.0100853,0.07361882,0.0003634498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03673756,0.0008098335,0.9596884,0.0002861436,0.002083415,0.00006297573,0.00001043089,0.00009798059,0.0002232573],"genre_scores_gemma":[0.9877327,0.0006859498,0.01063872,0.0003045757,0.0005845563,9.350153e-7,7.984542e-7,0.0000427253,0.000009062225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9509951,"threshold_uncertainty_score":0.4170423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209884266815758,"score_gpt":0.1949918022308385,"score_spread":0.1828929595626809,"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."}}