{"id":"W2805829714","doi":"10.1684/ejd.2017.3157","title":"AFAST: an adult female acne treatment algorithm for daily clinical practice","year":2018,"lang":"en","type":"letter","venue":"European Journal of Dermatology","topic":"Acne and Rosacea Treatments and Effects","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Medicine; Acne; Dermatology; Algorithm; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005478173,0.0004496812,0.001395203,0.0002001732,0.0001496548,0.00004324705,0.0002515437,0.0004018155,0.00006941208],"category_scores_gemma":[0.0003963678,0.0002835883,0.0006674361,0.00006928934,0.0002049199,0.0001988981,0.000044914,0.001069408,0.0002310164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008256331,"about_ca_system_score_gemma":0.0002903698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003624445,"about_ca_topic_score_gemma":7.159142e-7,"domain_scores_codex":[0.9960362,0.001438156,0.001323105,0.0004145312,0.0002952326,0.0004927808],"domain_scores_gemma":[0.9962865,0.0006260983,0.001402243,0.0005023612,0.0008750382,0.0003077358],"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":[0.0005296817,0.0007444953,0.000307315,0.00008101595,0.001555138,0.0804492,0.0002697323,8.952978e-8,0.000005081789,0.000002049489,0.8286147,0.0874415],"study_design_scores_gemma":[0.008218829,0.01250354,0.0003257844,0.0002165431,0.002402937,0.07672571,0.0001208615,0.00006346637,0.0000730751,0.000005681937,0.8991233,0.0002202823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01724126,0.002678338,0.0116323,0.9508265,0.006097786,0.001434168,0.0001429506,0.00008027234,0.009866459],"genre_scores_gemma":[0.003480547,0.002546582,0.1292239,0.8115234,0.04531191,0.0000168632,0.0006704009,0.0003568582,0.00686957],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1393031,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984044702662935,"score_gpt":0.3731137652890287,"score_spread":0.3232733182623994,"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."}}