{"id":"W4361190926","doi":"10.1021/acs.nanolett.2c03733","title":"4D Force Detection of Cell Adhesion and Contractility","year":2023,"lang":"en","type":"article","venue":"Nano Letters","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Division of Advanced Cyberinfrastructure; Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; Office of Integrative Activities; Stavros Niarchos Foundation; Courant Institute of Mathematical Sciences, New York University; Eidgenössische Technische Hochschule Zürich; York University; Division of Information and Intelligent Systems; Alfred P. Sloan Foundation","keywords":"Contractility; Adhesion; Tractive force; Materials science; Nanotechnology; Population; Mechanical engineering; Composite material; 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":[0.0002237065,0.0004078324,0.0003705528,0.000771695,0.0002993973,0.0005559826,0.0008349797,0.0009867192,0.003554221],"category_scores_gemma":[0.0003875659,0.0003367263,0.0002274182,0.0003803939,0.0004865547,0.0003636605,0.0009502939,0.0004910153,0.0006882265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285366,"about_ca_system_score_gemma":0.0003734444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029999,"about_ca_topic_score_gemma":0.001252348,"domain_scores_codex":[0.9996403,0.00003682798,0.00001575575,0.00008073745,0.0001653663,0.00006090675],"domain_scores_gemma":[0.9998084,0.00005876919,0.00004225367,0.00003157121,0.00003159295,0.00002747399],"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":[0.00004883679,0.00002679268,0.0008132545,0.00005418034,0.000009581675,0.0001238092,0.00004532216,0.001569907,0.9856015,0.002369957,0.0005741222,0.00876266],"study_design_scores_gemma":[0.00003002104,0.00009201017,0.004475007,0.0000169029,0.00001598438,0.0003508543,0.00005207546,0.10783,0.877312,0.00154761,0.008224999,0.00005257316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913353,0.001272783,0.1830295,0.000878115,0.000242365,0.0001191016,0.002620402,0.001176791,0.01932552],"genre_scores_gemma":[0.8979014,0.0005526428,0.09629881,0.0002157298,0.00005459692,0.0001708582,0.000610369,0.00007364369,0.004121978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003554221,"threshold_uncertainty_score":0.01189005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006580315787978564,"score_gpt":0.218676114174194,"score_spread":0.2120957983862154,"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."}}