{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006634837,0.0005034977,0.0008408995,0.0001974348,0.0001732077,0.0002430184,0.0005759281,0.0006141617,0.001594589],"category_scores_gemma":[0.0002104531,0.0005113382,0.0002028666,0.0002898711,0.0002295334,0.0002248172,0.0004184825,0.0002250742,0.0002735902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816034,"about_ca_system_score_gemma":0.0004105511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001850451,"about_ca_topic_score_gemma":0.000003421035,"domain_scores_codex":[0.9970302,0.0002360937,0.0008267362,0.0008766962,0.0006032356,0.0004270246],"domain_scores_gemma":[0.9970552,0.00004983697,0.001199252,0.001112716,0.000382807,0.000200161],"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":[0.0002660619,0.0003621195,0.0004045321,0.0001958421,0.00006801284,0.0000123567,0.00002113897,0.00001477419,0.9983113,0.00005087105,0.0002923524,6.776464e-7],"study_design_scores_gemma":[0.001483566,0.0001295777,0.01658076,0.0002238286,0.0001313664,1.952638e-8,0.000002811849,0.0001128277,0.9728947,0.000001300766,0.007924639,0.0005146214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936157,0.0003218398,0.001224891,0.0001320748,0.001863325,0.002035952,0.0004952691,0.0002602814,0.00005066538],"genre_scores_gemma":[0.9957797,0.00007354049,0.002899388,0.0001492845,0.0006059713,0.0003292651,0.000001344808,0.0001007245,0.00006079514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02541658,"threshold_uncertainty_score":0.9997338,"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."}}