{"id":"W2962024041","doi":"10.1039/c9nr02644d","title":"Nanomechanical mapping of single collagen fibrils under tension","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; National Science Council","keywords":"Fibril; Materials science; Tension (geology); Collagen fibril; Deformation (meteorology); Ultimate tensile strength; Indentation; Molecule; Crystallography; Biophysics; Composite material; Chemistry","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":[0.00009037178,0.0002308388,0.0001178587,0.0003056932,0.000211081,0.0002019233,0.0002392065,0.0003530557,0.001346363],"category_scores_gemma":[0.0001576333,0.0001437452,0.00009610461,0.0001734434,0.0002474859,0.0002841333,0.0002135261,0.0002956779,0.0001910019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485569,"about_ca_system_score_gemma":0.00007919836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006112022,"about_ca_topic_score_gemma":0.00092408,"domain_scores_codex":[0.9999304,0.000005894984,0.00000273731,0.00002158263,0.00002490357,0.00001445588],"domain_scores_gemma":[0.9998363,0.00006263101,0.00003821986,0.00001744717,0.00002613572,0.00001917822],"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":[0.00001280055,0.000005863174,0.0001411066,0.00001218445,0.000001278567,0.00003571628,0.00002958753,0.00006330646,0.9989976,0.00003175139,0.00001213425,0.0006566826],"study_design_scores_gemma":[0.0000105393,0.000173888,0.0229119,0.00001003957,0.00001057856,0.00041087,0.0001496545,0.005003033,0.9698735,0.0001212604,0.001312518,0.00001222944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922557,0.0003936655,0.005799801,0.00003843441,0.00001122722,0.00001300784,0.0001481561,0.00005057709,0.001289439],"genre_scores_gemma":[0.9896935,0.0004789645,0.008060731,0.00003178387,0.00001460009,0.00003110875,0.0001578536,0.00002556345,0.001505966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001346363,"threshold_uncertainty_score":0.004503965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301366796936029,"score_gpt":0.2364107869273562,"score_spread":0.2133971189579959,"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."}}