{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096587,0.0007299164,0.0004814434,0.001122588,0.0005016386,0.001009018,0.001160349,0.001075407,0.006074015],"category_scores_gemma":[0.0009513356,0.0004872676,0.0006460047,0.0004113081,0.0006819775,0.001384761,0.001679227,0.001287259,0.002469547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017423,"about_ca_system_score_gemma":0.000726193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810179,"about_ca_topic_score_gemma":0.0007452861,"domain_scores_codex":[0.9989249,0.00007277312,0.00007315988,0.0003045667,0.0005598665,0.00006474352],"domain_scores_gemma":[0.9989531,0.0002745252,0.0002907883,0.0001669208,0.0001312328,0.0001834482],"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":[0.0001313487,0.00007253356,0.0003806174,0.0002601684,0.00002307884,0.0002044338,0.0001225352,0.0002147017,0.967016,0.0009872172,0.002464647,0.02812278],"study_design_scores_gemma":[0.00007606388,0.001123679,0.005127117,0.00007187737,0.00007650139,0.002441142,0.00007826547,0.006756381,0.8926733,0.0002944927,0.09112743,0.0001538214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2568921,0.007354763,0.68878,0.000834926,0.001066577,0.001865389,0.004463701,0.0223018,0.01644069],"genre_scores_gemma":[0.49612,0.00618937,0.4318195,0.001397077,0.0004718342,0.003965316,0.007271712,0.002761727,0.05000343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006074015,"threshold_uncertainty_score":0.02031958,"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."}}