{"id":"W2951502215","doi":"10.1016/j.bpj.2018.02.045","title":"Traction Force Screening Enabled by Compliant PDMS Elastomers","year":2018,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Heart, Lung, and Blood Institute; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institutes of Health; Canadian Cancer Society; Natural Sciences and Engineering Research Council of Canada; Amgen","keywords":"Traction (geology); Contractility; Polydimethylsiloxane; Mechanobiology; Tractive force; Nanotechnology; Computer science; Biomedical engineering; Biophysics; Materials science; Chemistry; Biology; Anatomy; Mechanical engineering; Medicine; Engineering","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":[0.0001569404,0.0003630139,0.0002437591,0.0002511444,0.0003031048,0.0004373399,0.0003656022,0.0003425089,0.001969062],"category_scores_gemma":[0.0003594869,0.0002051637,0.0001146848,0.0002231519,0.000286737,0.0004088842,0.0005147983,0.0002494315,0.0003243196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158152,"about_ca_system_score_gemma":0.0002604051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003760133,"about_ca_topic_score_gemma":0.001070619,"domain_scores_codex":[0.9997999,0.00001321061,0.000008885591,0.00002849953,0.00008813791,0.00006124174],"domain_scores_gemma":[0.9997185,0.0001204147,0.00005536164,0.00003378036,0.00003272404,0.00003912803],"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":[0.0000807276,0.00002155708,0.0001883058,0.00002682473,0.000002796287,0.0001119905,0.00003137577,0.000683083,0.9941255,0.0004157929,0.0001073054,0.004204762],"study_design_scores_gemma":[0.00002495594,0.00008436207,0.001166036,0.000004769806,0.000005423616,0.000076148,0.00004069745,0.01828713,0.9789739,0.0002015228,0.001119999,0.00001509019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9877356,0.0002194882,0.007556669,0.0001139056,0.00004325248,0.00001857525,0.00009025851,0.0001643254,0.004057961],"genre_scores_gemma":[0.9946802,0.0001461893,0.003507441,0.00004018349,0.00001013743,0.00001079169,0.00004902315,0.00001410468,0.001541991],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001969062,"threshold_uncertainty_score":0.006587207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208592486648885,"score_gpt":0.2590217389786531,"score_spread":0.2469358141121643,"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."}}