{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008802488,0.000111535,0.00009828333,0.00003084076,0.0002559733,0.00006935504,0.0001254225,0.00007808842,0.0001250958],"category_scores_gemma":[0.00002141335,0.00009911672,0.00013948,0.00007015793,0.00005125563,0.00001077318,0.00004003373,0.000189487,0.0000702164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001718482,"about_ca_system_score_gemma":0.00002212307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001165152,"about_ca_topic_score_gemma":0.000002268287,"domain_scores_codex":[0.9992576,0.00003327998,0.0001666009,0.0001819953,0.0001372681,0.0002232519],"domain_scores_gemma":[0.9994989,0.000006149367,0.0001039187,0.0001341475,0.0001191887,0.000137714],"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":[0.00007888009,0.00007516198,0.000007293775,0.000001290045,0.0000459939,0.000002205282,0.00001030592,0.000005178433,0.9832786,0.00008865082,0.01430552,0.002100887],"study_design_scores_gemma":[0.0003534823,0.0005401804,0.00006137985,0.0000111254,0.00001769838,0.0001371517,0.0000582439,0.002156474,0.8177124,0.00003579205,0.1787838,0.0001322462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793102,0.00005224502,0.1176466,0.0003396501,0.0007506572,0.00007563402,0.00001554665,0.00001267602,0.001796759],"genre_scores_gemma":[0.9957379,0.00004954249,0.0004992521,0.0002287473,0.00180859,0.000002634112,0.00004267459,0.00001833531,0.00161237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1655662,"threshold_uncertainty_score":0.4041862,"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."}}