{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004236923,0.0001286038,0.0002644013,0.00003154294,0.00008462794,0.00002904966,0.0000657456,0.00007837365,0.00005994613],"category_scores_gemma":[0.00004333977,0.00008854394,0.0001369333,0.0001416572,0.00004279981,0.00005986405,0.00001346992,0.0001144051,0.000009929899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003030369,"about_ca_system_score_gemma":0.00004037564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000038501,"about_ca_topic_score_gemma":0.000001229445,"domain_scores_codex":[0.9992168,0.00000717799,0.0001263919,0.0002358186,0.0001674543,0.0002463752],"domain_scores_gemma":[0.9995498,0.000014658,0.00004183554,0.0001135878,0.00004870216,0.0002313816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006525354,0.0002263866,0.1993027,0.0003667259,0.0008272838,0.0003180734,0.004576745,0.00001251227,0.01103917,0.001084622,0.7471712,0.02854925],"study_design_scores_gemma":[0.003231805,0.001403398,0.008135783,0.00008068922,0.0002917775,0.00005799314,0.001243767,0.0007895517,0.008719286,0.0001359044,0.9756366,0.0002734505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240666,0.00618455,0.05003805,0.06189425,0.002033693,0.001843248,0.00005113994,0.0004015184,0.05348698],"genre_scores_gemma":[0.9767966,0.00001782838,0.01579549,0.001960992,0.0009641213,0.00003111863,0.00004541762,0.0000419994,0.004346438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2284654,"threshold_uncertainty_score":0.3610717,"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."}}