{"id":"W2996404693","doi":"10.1089/ten.tec.2019.0123","title":"Robust and Precise Wounding and Analysis of Engineered Contractile Tissues","year":2019,"lang":"en","type":"article","venue":"Tissue Engineering Part C Methods","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Wound closure; Process (computing); Biomedical engineering; Closure (psychology); Wound healing; Tissue engineering; Fibroblast; Computer science; Surgery; Materials science; Anatomy; Cell biology; Chemistry; Medicine; Biology; In vitro","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005095241,0.0001606216,0.0006532161,0.0003107854,0.00002344897,0.0000164445,0.00003064247,0.0000925339,0.000132192],"category_scores_gemma":[0.0001868872,0.0001468304,0.00005170554,0.0003484215,0.00001911665,0.00005576864,0.00002230742,0.0001282022,0.000004780369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000272972,"about_ca_system_score_gemma":0.00001301947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004205247,"about_ca_topic_score_gemma":8.435521e-7,"domain_scores_codex":[0.9991361,0.00004295314,0.0002553115,0.0002449815,0.0001221566,0.0001985051],"domain_scores_gemma":[0.9990553,0.0004505838,0.00005820477,0.0002471085,0.00003881648,0.0001500419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004881794,0.000668053,0.2186992,0.004110583,0.01770506,0.0001571839,0.006839011,0.0817095,0.4633046,0.003663451,0.0002770683,0.2023781],"study_design_scores_gemma":[0.00593883,0.001264535,0.371617,0.001204347,0.01337362,0.0002112707,0.0003018177,0.2673468,0.2268134,0.00006041207,0.1107295,0.001138405],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595051,0.004496155,0.0348308,0.00005987999,0.0002644562,0.000329267,0.00001343161,0.00009666005,0.0004042988],"genre_scores_gemma":[0.7702079,0.0002323937,0.2274466,0.000007943791,0.00006160355,0.00001597601,0.00003089767,0.00002921245,0.001967456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2364912,"threshold_uncertainty_score":0.598757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445860003673819,"score_gpt":0.364626772418976,"score_spread":0.3201681723822378,"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."}}