{"id":"W4306672922","doi":"10.3389/fbioe.2022.959335","title":"The CaT stretcher: An open-source system for delivering uniaxial strain to cells and tissues (CaT)","year":2022,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University Medical Centre; University of Waterloo; University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McMaster University","keywords":"Ex vivo; Biomedical engineering; In vivo; Tissue engineering; Modularity (biology); Scaffold; Scalability; Computer science; Materials science; Nanotechnology; Cell biology; Biology; 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":[0.0006419254,0.0001770592,0.0002385465,0.0003833108,0.0002560127,0.0001092153,0.0007217384,0.0001836589,0.000001890877],"category_scores_gemma":[0.00005598904,0.0001643886,0.00001605886,0.000469047,0.0001318487,0.00005423486,0.0006717263,0.0003131503,6.062471e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331638,"about_ca_system_score_gemma":0.00001833253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009378584,"about_ca_topic_score_gemma":0.00002597681,"domain_scores_codex":[0.9987446,0.00003455846,0.0002258173,0.0003323168,0.0001430338,0.0005196633],"domain_scores_gemma":[0.9994599,0.00007885445,0.00001953042,0.0002973322,0.00001391258,0.000130533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001089787,0.00004244125,0.0006276739,0.000544539,0.0001349026,0.00003412068,0.001147676,0.04796175,0.2730151,0.0019495,0.002409613,0.6720237],"study_design_scores_gemma":[0.0007819962,0.0005989569,0.0002432224,0.00007803964,0.00001338191,0.000044371,0.00579364,0.7658296,0.03286584,0.000124656,0.1931335,0.0004928064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085464,0.001278336,0.08649163,0.0009732809,0.001159919,0.0007858271,0.00009475943,0.0006444732,0.00002541267],"genre_scores_gemma":[0.9556915,0.0004083865,0.04346761,0.00001464488,0.00005829048,0.0002200224,0.000009775325,0.0000598713,0.00006984831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7178678,"threshold_uncertainty_score":0.6703574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025092595931319,"score_gpt":0.2377417152853002,"score_spread":0.227490789325987,"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."}}