{"id":"W1985084134","doi":"10.1016/j.yexcr.2004.05.022","title":"Structural changes in human type I collagen fibrils investigated by force spectroscopy","year":2004,"lang":"en","type":"article","venue":"Experimental Cell Research","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Fibril; Force spectroscopy; Biophysics; Extracellular matrix; Collagen fibril; Type I collagen; Materials science; Elongation; Tendon; Atomic force microscopy; Elasticity (physics); Anatomy; Biology; Nanotechnology; Cell biology; Ultimate tensile strength; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003479381,0.0001340954,0.0001406121,0.00016623,0.0002990803,0.0001931318,0.0002387425,0.00008531399,0.003629485],"category_scores_gemma":[0.00002111719,0.0001346707,0.00001918145,0.0005610147,0.0001663845,0.0002150156,0.0001199597,0.000125245,0.0002839798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004894054,"about_ca_system_score_gemma":0.0001103724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005218753,"about_ca_topic_score_gemma":0.0001690172,"domain_scores_codex":[0.9982581,0.0001564527,0.0001942223,0.000365317,0.0005400961,0.0004858251],"domain_scores_gemma":[0.9994825,0.00002500133,0.00005078882,0.0002115098,0.00007495457,0.0001552519],"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":[0.0000715925,0.00006622961,0.0001302645,0.00001351091,0.000001075657,0.00001174338,0.001229483,0.00001388607,0.9971098,0.0001266259,0.001217077,0.000008751211],"study_design_scores_gemma":[0.0006625058,0.0003622041,0.0005292202,0.00002010149,6.840436e-7,0.000003764649,0.00103432,0.00002869785,0.9959801,0.0001425558,0.001093715,0.00014211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942743,0.0003575412,0.000003495715,0.0002452308,0.0002199485,0.0004219119,0.00001531887,0.00005652951,0.004405737],"genre_scores_gemma":[0.9960617,0.00002317907,0.0001690875,0.00008239888,0.000100696,0.00003734315,0.00009500592,0.00002361945,0.003406976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003345505,"threshold_uncertainty_score":0.9972813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06325768412815122,"score_gpt":0.3836776459509422,"score_spread":0.320419961822791,"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."}}