{"id":"W2798118251","doi":"","title":"Nonlinear Visco-elastic Models Applied to Human Medial Collateral Ligaments","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Nonlinear system; Collateral; Mathematics; Economics; Physics","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":[0.00005818159,0.0002417584,0.000392417,0.00009990782,0.0004057278,0.0001700186,0.0002178011,0.000105092,0.00004951672],"category_scores_gemma":[0.00002784,0.0001901726,0.00007856627,0.00005842921,0.0000897156,0.0001688479,0.0001519379,0.0001431549,0.0001231503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000883904,"about_ca_system_score_gemma":0.00003963065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002848409,"about_ca_topic_score_gemma":0.000006046871,"domain_scores_codex":[0.9986509,0.000001039822,0.0002406562,0.0004048079,0.0003410527,0.0003615458],"domain_scores_gemma":[0.9991575,0.000007207797,0.000123813,0.0002539945,0.0001267255,0.0003307965],"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":[0.003689668,0.001773819,0.1192045,0.001001669,0.001576873,0.0004848698,0.01700631,0.00002878494,0.7743564,0.026267,0.02422499,0.03038502],"study_design_scores_gemma":[0.04364176,0.007447435,0.3065916,0.001909986,0.002852247,0.0006844264,0.001624066,0.002148154,0.5540906,0.02528155,0.05059332,0.003134883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448104,0.00001790622,0.00002462897,0.0006758291,0.0002224196,0.0006706129,0.0000109689,0.0001040901,0.05346313],"genre_scores_gemma":[0.9951855,0.000005038846,0.00232588,0.0004613924,0.0007405541,0.00008972518,0.00001564859,0.00004058193,0.001135682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2202658,"threshold_uncertainty_score":0.7755014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116716558767605,"score_gpt":0.314303420738035,"score_spread":0.283136255150359,"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."}}