{"id":"W2109423499","doi":"10.1089/ten.tea.2014.0271","title":"An <i>In-Situ</i> Forming Skin Substitute Improves Healing Outcome in a Hypertrophic Scar Model","year":2014,"lang":"en","type":"article","venue":"Tissue Engineering Part A","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CIHR Skin Research Training Centre; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Scaffold; Wound healing; Hypertrophic scar; Fibroblast; Biomedical engineering; Regeneration (biology); Medicine; Cellular infiltration; Dermal fibroblast; Tissue engineering; Surgery; Inflammation; Chemistry; Cell biology; In vitro; Immunology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924261,0.0002026632,0.0004088979,0.0002194403,0.00003779366,0.00001837758,0.0000737754,0.00009965394,0.000002605528],"category_scores_gemma":[0.00004965486,0.0001944336,0.00004462645,0.0001777432,0.00001200641,0.0001166396,0.00001550734,0.0002446289,0.00002421731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341531,"about_ca_system_score_gemma":0.00003434088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123835,"about_ca_topic_score_gemma":0.0001185109,"domain_scores_codex":[0.9987462,0.0000134119,0.0003576811,0.0002863421,0.0001587551,0.0004375961],"domain_scores_gemma":[0.9994268,0.0000359287,0.00003258694,0.000319734,0.00001709675,0.000167839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001507814,0.0006392223,0.04606707,0.0008678372,0.0000668893,0.000333956,0.002318943,0.7201273,0.2119069,0.001724444,0.0000256764,0.01577101],"study_design_scores_gemma":[0.004191221,0.0003995514,0.02451366,0.0006907516,0.00007416464,0.00009180741,0.00003606457,0.9490295,0.01664548,0.0001011097,0.00373635,0.0004903571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941667,0.0003145595,0.004486347,0.0001638094,0.0001884275,0.000262353,0.000001712846,0.0001470827,0.0002690256],"genre_scores_gemma":[0.991604,0.00001827706,0.007794079,0.00008861469,0.0001982535,0.00004957711,0.00002270487,0.00004548833,0.0001790551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2289022,"threshold_uncertainty_score":0.7928771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266553069533345,"score_gpt":0.2899525521522651,"score_spread":0.2672870214569317,"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."}}