{"id":"W3095023472","doi":"10.3389/frym.2020.539007","title":"Closing Wounds With Light?","year":2020,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Canadian Institutes of Health Research; University of Ottawa","keywords":"Closing (real estate); Medicine; Epithelial tissue; Surgery; Process (computing); Scar tissue; Dermatology; Computer science; Pathology; Business; Epithelium","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":[0.0009099689,0.000414108,0.0004416413,0.0007027424,0.0007918247,0.001808052,0.0005536146,0.002306572,0.01389735],"category_scores_gemma":[0.001967808,0.0001655923,0.0005246976,0.0003097969,0.002004433,0.003576983,0.0009953694,0.003590974,0.004947023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514038,"about_ca_system_score_gemma":0.0003804017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003932289,"about_ca_topic_score_gemma":0.0008634816,"domain_scores_codex":[0.9996368,0.00007631686,0.00002049964,0.00006085474,0.0001506264,0.00005497684],"domain_scores_gemma":[0.9994901,0.0002138452,0.00006536799,0.00004057606,0.00009077663,0.00009925179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000438649,0.0004524008,0.001088589,0.003674923,0.00005996304,0.001061241,0.001396513,0.00006358008,0.01887761,0.04327248,0.1428595,0.7867545],"study_design_scores_gemma":[0.00006424241,0.0005060671,0.001806989,0.002037055,0.00005942301,0.007287304,0.001454604,0.0001137113,0.009719469,0.02070471,0.9562038,0.00004272514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.02302852,0.756761,0.01322236,0.1043349,0.02464833,0.0001271054,0.00009939943,0.000627899,0.07715046],"genre_scores_gemma":[0.1410506,0.6628641,0.01661051,0.07768942,0.01402213,0.0002347351,0.0001460325,0.0003253632,0.08705716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01389735,"threshold_uncertainty_score":0.04649132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501646465971614,"score_gpt":0.2342577800116098,"score_spread":0.2192413153518936,"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."}}