{"id":"W4283576283","doi":"10.1097/prs.0000000000009466","title":"Microneedling Outcomes in Early Postsurgical Scars","year":2022,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Scars; Surgery; Sequela; Percutaneous","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":[0.0005393218,0.0001163438,0.0002424667,0.0002798503,0.0002212813,0.0002337671,0.0001179389,0.0001540494,0.001685009],"category_scores_gemma":[0.001384527,0.00003943627,0.0003127512,0.0001327749,0.0001725663,0.0001517016,0.0001708656,0.0003534869,0.0001192915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273922,"about_ca_system_score_gemma":0.0002068404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003425518,"about_ca_topic_score_gemma":0.0008155688,"domain_scores_codex":[0.9997448,0.00004252745,0.00002610657,0.00002169647,0.00009401849,0.00007076053],"domain_scores_gemma":[0.9981381,0.0004946825,0.0007771856,0.00005721622,0.0001966546,0.0003361232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009227837,0.002261582,0.7764767,0.0005464131,0.0001779486,0.002096918,0.0006621593,0.0004273009,0.0320126,0.00009371153,0.0006345591,0.1753823],"study_design_scores_gemma":[0.0001512852,0.01524774,0.9677156,0.00007795206,0.0001181996,0.00462783,0.0004001811,0.0003967154,0.01042224,0.00009219856,0.0007342579,0.0000157905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985744,0.000697566,0.0001227722,0.0000254713,0.000005839033,0.00002609118,0.00004552206,0.000004385379,0.0004979554],"genre_scores_gemma":[0.9995953,0.000125197,0.00008142189,0.00001464424,0.000005350138,0.00001022353,0.00006037343,7.918307e-7,0.0001066634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685009,"threshold_uncertainty_score":0.00563699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699199888328883,"score_gpt":0.2813400041606541,"score_spread":0.2543480052773652,"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."}}