{"id":"W2789413652","doi":"10.1038/s41598-018-22741-8","title":"In tendons, differing physiological requirements lead to functionally distinct nanostructures","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Institut National de la Recherche Scientifique; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tendon; Fibril; Collagen fibril; Biophysics; Strain (injury); Function (biology); Chemistry; Anatomy; Elongation; Materials science; Cell biology; Biology; Ultimate tensile strength; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002295833,0.0001696902,0.0002654241,0.0001820881,0.0001900814,0.00006164623,0.00006374285,0.0000588123,0.0004276536],"category_scores_gemma":[0.0001831733,0.000112743,0.00008356987,0.000402236,0.0002291829,0.00008156846,0.00009269243,0.00009463263,0.00007513996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110978,"about_ca_system_score_gemma":0.00008196927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003309771,"about_ca_topic_score_gemma":0.00007327124,"domain_scores_codex":[0.9979827,0.00002176085,0.0003951957,0.0007682283,0.000487814,0.0003442427],"domain_scores_gemma":[0.9989935,0.00001311013,0.0001027022,0.0005992922,0.0001240534,0.0001674135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002371952,0.0002550857,0.2588044,0.00003431216,0.00007736989,0.003240725,0.0003954053,0.000002659366,0.6842406,0.0001750215,0.04558807,0.006949234],"study_design_scores_gemma":[0.0004603301,0.0003254993,0.9060482,0.00006518252,0.00003424113,0.0007839424,0.00002901889,0.000005603158,0.05278591,0.006960882,0.03234776,0.0001534658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905524,0.00004925297,0.00005626956,0.0004503223,0.00594253,0.0004082023,0.000002996439,0.00006095755,0.002477061],"genre_scores_gemma":[0.9945199,4.242175e-7,0.0008648334,0.0003118217,0.0003332807,0.00003047051,0.00004946916,0.00001178988,0.003877976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6472438,"threshold_uncertainty_score":0.4682508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336153291881366,"score_gpt":0.3120888940372872,"score_spread":0.2787273611184736,"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."}}