{"id":"W2734723147","doi":"10.1101/162206","title":"Traction force screening enabled by compliant PDMS elastomers","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traction (geology); Polydimethylsiloxane; Contractility; Tractive force; Myosin; Elastomer; Computer science; Limiting; Nanotechnology; Natural rubber; Materials science; Biophysics; Composite material; Mechanical engineering; Engineering; Biology","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":[0.000180129,0.0003649087,0.0001574441,0.0002645149,0.0001733032,0.0002454944,0.0002378012,0.0002757856,0.0009687584],"category_scores_gemma":[0.0001717272,0.0001745049,0.0001460734,0.0001724966,0.0002060392,0.0002110275,0.0002575679,0.0002698723,0.0002836753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733832,"about_ca_system_score_gemma":0.0001506139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005682351,"about_ca_topic_score_gemma":0.001300827,"domain_scores_codex":[0.9998555,0.00001082077,0.000008725297,0.00003549278,0.00006068687,0.00002875171],"domain_scores_gemma":[0.9998322,0.000055317,0.00004902956,0.00002235203,0.00002103326,0.00002017688],"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":[0.00001713223,0.000009929918,0.0001153222,0.0000133472,0.000001572555,0.00002856152,0.000008273787,0.0002906237,0.9984764,0.00006343071,0.00004153572,0.0009339021],"study_design_scores_gemma":[0.000004837193,0.0000468593,0.001263275,0.000002244982,0.000002720818,0.00002387503,0.00001166524,0.002874409,0.9950399,0.0000263708,0.0006987931,0.000005136316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849278,0.000429535,0.01137834,0.00009663785,0.00003667665,0.00003390539,0.0004834211,0.0002060603,0.002407823],"genre_scores_gemma":[0.9819115,0.000396872,0.01504791,0.00005132906,0.00001107443,0.00004242921,0.0002701368,0.00002175587,0.002246947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009687584,"threshold_uncertainty_score":0.003240824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443284305201282,"score_gpt":0.2361233304298384,"score_spread":0.2216904873778255,"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."}}