{"id":"W4225788850","doi":"10.1089/fpsam.2021.0359","title":"The Detroit Keloid Scale: A Validated Tool for Rating Keloids","year":2022,"lang":"en","type":"article","venue":"Facial Plastic Surgery & Aesthetic Medicine","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Keloid; Scale (ratio); Rating scale; Dermatology; Medicine; Psychology; Geography; Cartography; Developmental psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328575,0.000292194,0.000352931,0.0009572976,0.0002125983,0.0002745073,0.0003254303,0.0002584922,0.002308365],"category_scores_gemma":[0.006172691,0.0001111865,0.0003768695,0.0005481113,0.000259568,0.0003708097,0.0005887474,0.0003454936,0.0004187248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105261,"about_ca_system_score_gemma":0.0005746322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436762,"about_ca_topic_score_gemma":0.004537352,"domain_scores_codex":[0.9979868,0.0006485549,0.000267977,0.00008747743,0.0009489406,0.00006031129],"domain_scores_gemma":[0.9966362,0.0008663168,0.001363293,0.000128598,0.0007738738,0.0002316108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006107391,0.000295224,0.8120939,0.0005944014,0.0002742577,0.0004700526,0.0008012612,0.0006972578,0.009238055,0.0002162566,0.005861426,0.1688472],"study_design_scores_gemma":[0.00009059307,0.0005859321,0.9911643,0.0001195411,0.0000475866,0.001918171,0.0002153058,0.0008048181,0.001040509,0.0001046502,0.003880896,0.00002761468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747977,0.002525046,0.007362086,0.0004790751,0.0001098631,0.001003195,0.002643858,0.0001261138,0.01095308],"genre_scores_gemma":[0.9800887,0.0007223618,0.0149767,0.0001424794,0.00004183797,0.0004987409,0.001557486,0.00001466214,0.001957061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002328575,"threshold_uncertainty_score":0.01231486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448447297877841,"score_gpt":0.3033632700021207,"score_spread":0.2688787970233423,"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."}}