{"id":"W2778459854","doi":"10.1016/j.jmbbm.2017.12.024","title":"Quasi-static tensile properties of the Cranial Cruciate Ligament (CrCL) in adult cattle: towards the design of a prosthetic CrCL","year":2017,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cegep de Saint Hyacinthe; Université de Montréal; École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Zoetis","keywords":"Cruciate ligament; Ultimate tensile strength; Ligament; Materials science; Orthodontics; Biomedical engineering; Computer science; Anatomy; Medicine; Composite material; Anterior cruciate ligament","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004968364,0.0001460431,0.0001341926,0.0002930298,0.0002400306,0.000321852,0.0003440933,0.0004047735,0.0009939052],"category_scores_gemma":[0.0004670871,0.0002277122,0.0001104402,0.0001555098,0.0004156294,0.0003444306,0.0001416998,0.0002515628,0.0001808552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290071,"about_ca_system_score_gemma":0.0002401553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137684,"about_ca_topic_score_gemma":0.006829612,"domain_scores_codex":[0.9998986,0.00001873543,0.000006644539,0.00002426613,0.00002900826,0.0000228067],"domain_scores_gemma":[0.9997147,0.00007081286,0.00007679594,0.00001666295,0.00008483366,0.0000361871],"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":[0.0009706587,0.0002513845,0.1064838,0.0001275152,0.00002487008,0.0002769381,0.0004463014,0.001944406,0.8748528,0.0002665074,0.0001122003,0.01424272],"study_design_scores_gemma":[0.00002703073,0.004237233,0.7721233,0.00005660039,0.0001096756,0.001963913,0.002204649,0.01354843,0.2039521,0.0003598934,0.001374086,0.00004306091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987701,0.0001094993,0.0008646717,0.00001353531,0.000001709518,0.000003845406,0.0000544522,0.000002805806,0.0001794083],"genre_scores_gemma":[0.9991393,0.00007342171,0.0004208154,0.00000787638,0.000001903085,0.000005171987,0.0000512613,0.000001289306,0.000298989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004137684,"threshold_uncertainty_score":0.008227229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654534079371489,"score_gpt":0.2944384314745399,"score_spread":0.2578930906808249,"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."}}