{"id":"W1972218135","doi":"10.1007/s13367-013-0009-6","title":"Fractional order viscoelasticity in characterization for atrial tissue","year":2013,"lang":"en","type":"article","venue":"Korea-Australia Rheology Journal","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Viscoelasticity; Constitutive equation; Equivalence (formal languages); Fractional calculus; Fractal; Phenomenological model; Hyperelastic material; Mathematics; Applied mathematics; Mathematical analysis; Physics; Finite element method; Thermodynamics; Pure mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002470546,0.0002042178,0.000341179,0.0001688623,0.0001682801,0.00003034695,0.0001714415,0.0003436863,0.002237731],"category_scores_gemma":[0.0004633688,0.0001866654,0.0001065253,0.0001537023,0.0001475622,0.0003167708,0.00004475908,0.0006242094,0.0001914202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009040485,"about_ca_system_score_gemma":0.00003963762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006629806,"about_ca_topic_score_gemma":0.00003226284,"domain_scores_codex":[0.9985813,0.00006012117,0.0005247393,0.0002314719,0.0001185908,0.0004838005],"domain_scores_gemma":[0.9991342,0.0002655257,0.000161693,0.0001030063,0.000228542,0.0001070275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008944934,0.0003746509,0.2094854,0.00009647444,0.0008481349,0.0000843954,0.0007038137,0.0220107,0.5574905,0.1968507,0.007927018,0.003233615],"study_design_scores_gemma":[0.007252921,0.0004969163,0.4482749,0.00008219377,0.0001868829,0.001187735,0.0001068423,0.5243744,0.003710222,0.01102636,0.002334127,0.00096642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4746986,0.00002743721,0.5223624,0.001319601,0.001189959,0.0002389455,0.00001804136,0.00003155752,0.0001134632],"genre_scores_gemma":[0.9784728,0.00005465613,0.00726517,0.0001195835,0.001187247,0.00006290002,0.000110103,0.00002686988,0.0127007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5537803,"threshold_uncertainty_score":0.9986743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947372970547817,"score_gpt":0.281796418437824,"score_spread":0.2623226887323458,"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."}}