{"id":"W2092610327","doi":"10.1016/j.yexcr.2013.06.009","title":"Toward single cell traction microscopy within 3D collagen matrices","year":2013,"lang":"en","type":"review","venue":"Experimental Cell Research","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health","keywords":"Biology; Traction (geology); Microscopy; Cell biology; Biophysics; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004690627,0.0004257464,0.0005756278,0.0002622123,0.0002795895,0.0002856841,0.0005628804,0.0005645755,0.0009988394],"category_scores_gemma":[0.00002233306,0.0003871921,0.0003925193,0.0003134421,0.00009050718,0.00001417873,0.0004506593,0.0005000831,0.001207518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644934,"about_ca_system_score_gemma":0.0004179586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569466,"about_ca_topic_score_gemma":0.000005007525,"domain_scores_codex":[0.997128,0.0004083777,0.0005401916,0.0008373011,0.0004945747,0.000591577],"domain_scores_gemma":[0.9986819,0.0000503673,0.0002485082,0.0006295475,0.0001675,0.0002221923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000216327,0.0004987055,7.220758e-8,0.00143523,0.00004572452,0.00001093163,0.0001021288,6.836691e-7,0.9675876,0.00000710376,0.01737424,0.01291594],"study_design_scores_gemma":[0.0001073713,0.0004272887,5.677659e-9,0.0001858729,0.00002270297,0.0000174673,0.0003353704,0.000008953024,0.4723283,0.000001567801,0.5263587,0.000206393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001521659,0.9789916,0.00004844597,0.000005561008,0.000738112,0.001251689,0.00004707999,0.00001744394,0.01737843],"genre_scores_gemma":[0.003037935,0.9708775,0.0008374634,0.00001664238,0.0005445044,0.000456608,0.0007724162,0.0001339989,0.0233229],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5089845,"threshold_uncertainty_score":0.9999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382068748175431,"score_gpt":0.4292190774285502,"score_spread":0.2910122026110071,"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."}}