{"id":"W3101609845","doi":"10.1101/279380","title":"Environmentally controlled curvature of single collagen proteins","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curvature; Persistence length; Triple helix; Biophysics; Chemistry; Flexibility (engineering); Extracellular matrix; Atomic force microscopy; Type I collagen; Heterotrimeric G protein; Molecular dynamics; Crystallography; Polymer; Nanotechnology; Materials science; Biochemistry; Biology; Stereochemistry; Mathematics; Geometry; Computational 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":[0.0001283148,0.0001475645,0.0001198436,0.000203154,0.0001583512,0.0003361777,0.0001683647,0.0001889869,0.0007954581],"category_scores_gemma":[0.0003690325,0.0001313185,0.0001370749,0.0001130885,0.0003241496,0.000212942,0.0002233186,0.0002593281,0.0001766272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729115,"about_ca_system_score_gemma":0.0001432679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005453769,"about_ca_topic_score_gemma":0.0005479893,"domain_scores_codex":[0.9998617,0.0000145343,0.000005501929,0.00003538924,0.00004971141,0.00003313029],"domain_scores_gemma":[0.9997088,0.00007075677,0.00007957734,0.00002858469,0.00005450608,0.00005775268],"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":[0.00003366996,0.000007820809,0.001271197,0.0000175075,0.000007477949,0.0000653535,0.00003168325,0.001254575,0.9961164,0.0002555265,0.00004335463,0.0008954323],"study_design_scores_gemma":[0.000008441508,0.0001480609,0.01583998,0.000008156633,0.000008829598,0.0002510742,0.00008107948,0.04317044,0.9387993,0.0004426882,0.001216084,0.00002600401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960907,0.0001347076,0.003052482,0.00002551498,0.000007623519,0.000004477453,0.00006147502,0.00004032288,0.0005827289],"genre_scores_gemma":[0.9988104,0.00005440166,0.0007567495,0.0000122429,0.000001955978,0.000003213899,0.00004313017,0.00001372155,0.000304202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007954581,"threshold_uncertainty_score":0.002661049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163499452100346,"score_gpt":0.2048963688931247,"score_spread":0.1932613743721212,"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."}}