{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987367,0.0004189191,0.0002899994,0.0004478148,0.0002195685,0.0005422803,0.0003719286,0.0003982482,0.0004422277],"category_scores_gemma":[0.0004739632,0.0002238842,0.0002917837,0.0002857772,0.0003390979,0.0002911077,0.0005044097,0.0005834925,0.0002362959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00025376,"about_ca_system_score_gemma":0.0002278244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002899689,"about_ca_topic_score_gemma":0.0003600394,"domain_scores_codex":[0.9996754,0.00002245699,0.00003223366,0.00006134798,0.0001730317,0.00003558297],"domain_scores_gemma":[0.9997073,0.00007162609,0.00008558388,0.00006391368,0.00004502043,0.00002652972],"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":[0.00001610776,0.0000167991,0.0002403039,0.00003546389,0.000003190621,0.0000520728,0.00003967633,0.001896811,0.9938672,0.0002688938,0.00002802796,0.003535436],"study_design_scores_gemma":[0.000004114715,0.0001180434,0.00288048,0.000007263337,0.000006251191,0.0001245827,0.0000302957,0.01940129,0.9758332,0.0001857175,0.001396854,0.00001181825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6955484,0.0008683634,0.3002096,0.00005215898,0.0000615815,0.0001749571,0.0005598647,0.0006068082,0.001918297],"genre_scores_gemma":[0.8364416,0.0008370459,0.1599603,0.00004618885,0.00001580587,0.0003374799,0.0004549943,0.0001612344,0.001745398],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0005422803,"threshold_uncertainty_score":0.002637625,"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."}}