{"id":"W2000525344","doi":"10.1122/1.1343877","title":"Ligament creep behavior can be predicted from stress relaxation by incorporating fiber recruitment","year":2001,"lang":"en","type":"article","venue":"Journal of Rheology","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Heritage Medical Research Institute","keywords":"Icon; Citation; Computer science; Creep; Stress relaxation; Relaxation (psychology); Information retrieval; Download; Search engine; World Wide Web; Materials science; Biology; 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":[0.0001928772,0.0001587587,0.0003742123,0.00008987933,0.00007956203,0.000008381597,0.0001758929,0.000217969,0.0003019036],"category_scores_gemma":[0.0001937909,0.0001397202,0.00009185232,0.00009868303,0.0001023182,0.000110041,0.00007934374,0.0004458794,0.000004531839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541912,"about_ca_system_score_gemma":0.00003414421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257669,"about_ca_topic_score_gemma":0.0000767684,"domain_scores_codex":[0.9987022,0.0000721501,0.0006544823,0.0001565436,0.0001841885,0.0002304787],"domain_scores_gemma":[0.9988777,0.000196105,0.0005304986,0.0001414707,0.0001552766,0.0000989201],"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":[0.0008742642,0.00131942,0.6708956,0.00004498747,0.001709721,0.0009806188,0.003286553,0.0111937,0.2661016,0.008117056,0.01153783,0.02393865],"study_design_scores_gemma":[0.02437596,0.006799106,0.2930127,0.001714692,0.003504694,0.002996126,0.003752999,0.547494,0.0891749,0.006672911,0.01695171,0.003550177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684883,0.0009787851,0.02772507,0.00150388,0.000486886,0.0001629989,0.0000803428,0.00003403243,0.0005397281],"genre_scores_gemma":[0.9887435,0.0005456656,0.005622926,0.000210949,0.0002567412,0.00003903024,0.00007996095,0.00002357656,0.004477689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5363003,"threshold_uncertainty_score":0.5697626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454313766800179,"score_gpt":0.2618700890209731,"score_spread":0.2373269513529714,"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."}}