{"id":"W2129777885","doi":"10.1557/opl.2012.964","title":"Probing the Viscoelasticity of Collagen Solutions via Optical-Tweezers-Based Microrheology","year":2012,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Microrheology; Viscoelasticity; Materials science; Optical tweezers; Elasticity (physics); Rheology; Viscosity; Elastic modulus; Composite material; Nanotechnology; Optics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005576558,0.0001186986,0.0001571854,0.00006728001,0.000294966,0.00007135265,0.0001886344,0.0000886107,0.0004878447],"category_scores_gemma":[0.000143597,0.00009074208,0.00005151637,0.0002903087,0.0002081031,0.0004391846,0.00007023416,0.0000666004,0.00008533268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006028715,"about_ca_system_score_gemma":0.00005623812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001246374,"about_ca_topic_score_gemma":0.000003576279,"domain_scores_codex":[0.9989538,0.00002007618,0.0002830061,0.0001730831,0.0001864249,0.0003835755],"domain_scores_gemma":[0.9993348,0.00007337736,0.0002043457,0.00009476589,0.0002051338,0.00008764147],"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":[0.00003590105,0.000103326,0.00126219,0.00003820427,0.000004846855,1.345438e-7,0.0006836373,0.00001406877,0.9928376,0.004319395,0.0005254403,0.0001752357],"study_design_scores_gemma":[0.0002814179,0.00007138374,0.01199844,0.00002766606,0.00005631313,0.00001920929,0.0003653976,0.001258562,0.9811838,0.000101184,0.004475428,0.0001611626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759438,0.00003250458,0.02033533,0.0009487352,0.0005798325,0.0003268412,0.000007924186,0.00008172384,0.0017433],"genre_scores_gemma":[0.998075,0.000002168596,0.001011087,0.0002391136,0.0001541205,0.00004770908,0.000004660816,0.0000138732,0.0004522525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02213121,"threshold_uncertainty_score":0.5341557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238951296539388,"score_gpt":0.245013342873353,"score_spread":0.2226238299079591,"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."}}