{"id":"W2048060103","doi":"10.1016/j.bpj.2009.12.3225","title":"Probing the Mechanical Properties of Single Scleroproteins with Optical Tweezers","year":2010,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; Simon Fraser University","funders":"","keywords":"Optical tweezers; Nanotechnology; Elasticity (physics); Elastin; Materials science; Biophysics; Biological system; Chemistry; Computer science; Physics; Biology; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109911,0.000197443,0.0002165335,0.0002851154,0.0003340365,0.000465341,0.0003712506,0.0004011067,0.0009847559],"category_scores_gemma":[0.0006049967,0.0002511355,0.0001305473,0.0002069717,0.0005899059,0.0005109629,0.000353741,0.0005723251,0.000274018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239957,"about_ca_system_score_gemma":0.0001990836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007030231,"about_ca_topic_score_gemma":0.001293198,"domain_scores_codex":[0.9998099,0.00001521758,0.000009192333,0.00004216007,0.00009052319,0.0000329941],"domain_scores_gemma":[0.9996212,0.0001836403,0.00007009562,0.00003347142,0.00003279849,0.00005883534],"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":[0.00002504169,0.000007922562,0.0002988537,0.000009516472,0.000002761547,0.0000187331,0.00002176017,0.0001235401,0.9982986,0.0001370236,0.00003151629,0.001024812],"study_design_scores_gemma":[0.00002315141,0.00008143641,0.007214346,0.000002991913,0.000007783736,0.0001155565,0.00008192653,0.00921695,0.9819829,0.0003149323,0.0009417145,0.00001630756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926581,0.0001843979,0.005956441,0.0001425103,0.0000172921,0.00001115585,0.00007563073,0.00004733807,0.0009071529],"genre_scores_gemma":[0.994011,0.0002026015,0.004438424,0.00005253131,0.0000169201,0.00001971683,0.00006512711,0.0000189549,0.001174794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009847559,"threshold_uncertainty_score":0.003294349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530152836924158,"score_gpt":0.2132700211375787,"score_spread":0.1979684927683372,"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."}}