{"id":"W4200559771","doi":"10.2196/35431","title":"Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology?","year":2021,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Health Insurance Portability and Accountability Act; Melasma; Artificial intelligence; MEDLINE; Dermatology; Medicine; Confidentiality; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03472663,0.0006529129,0.002650549,0.008230028,0.0006461679,0.003627212,0.001658531,0.002456199,0.003898517],"category_scores_gemma":[0.1125808,0.0004892556,0.003184672,0.006253533,0.002810078,0.006701965,0.001477676,0.002295637,0.0007260913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536932,"about_ca_system_score_gemma":0.008477837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399405,"about_ca_topic_score_gemma":0.00347489,"domain_scores_codex":[0.9824896,0.009215701,0.003374159,0.000883502,0.003799642,0.0002374184],"domain_scores_gemma":[0.8274296,0.1504426,0.009263969,0.00321941,0.00914113,0.0005032279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001817911,0.00003136807,0.001341591,0.1440745,0.001013658,0.0001803232,0.0005409406,0.0003971745,0.0002872437,0.008477525,0.01090576,0.832568],"study_design_scores_gemma":[0.0001866161,0.0004029277,0.006421153,0.5397179,0.004255209,0.001387502,0.001304712,0.001380969,0.001101694,0.03965444,0.4040444,0.0001425329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0008444498,0.9806867,0.004499729,0.01117499,0.0005526126,0.0001280394,0.0001992721,0.00003027613,0.001883903],"genre_scores_gemma":[0.01583012,0.9645543,0.01220561,0.005554369,0.001005004,0.0003755325,0.0001522916,0.00001918686,0.0003035633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03472663,"threshold_uncertainty_score":0.1836542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04895203690375319,"score_gpt":0.3591581156948813,"score_spread":0.310206078791128,"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."}}