{"id":"W4379768568","doi":"10.2340/actadv.v103.6229","title":"Expert Recommendations on Facilitating Personalized Approaches to Long-term Management of Actinic Keratosis: The Personalizing Actinic Keratosis Treatment (PAKT) Project","year":2023,"lang":"en","type":"article","venue":"Acta Dermato Venereologica","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cosmetic and Laser Surgery; Oakville-Trafalgar Memorial Hospital","funders":"Cilag; LEO Pharma; Galderma; Regeneron Pharmaceuticals; L'Oreal USA; Sanofi; NeraCare; Eli Lilly and Company; Biogen; GlaxoSmithKline; Amgen","keywords":"Actinic keratosis; Medicine; Dermatology; Keratosis; Term (time); Pathology","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":[0.0003500453,0.0004364853,0.0006789624,0.0002411486,0.0005622742,0.00004783065,0.0003722821,0.0001102323,0.000190108],"category_scores_gemma":[0.000132087,0.0002820815,0.0003198136,0.0008399818,0.0001651017,0.00009431895,0.0003318913,0.0002127598,0.0001028208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003675977,"about_ca_system_score_gemma":0.00009633343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005064214,"about_ca_topic_score_gemma":0.00002056799,"domain_scores_codex":[0.9974447,0.0002773873,0.0005504228,0.0006818127,0.0004580547,0.000587558],"domain_scores_gemma":[0.9980094,0.0007268455,0.0002460238,0.000844217,0.00005534837,0.0001181961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004425098,0.004112276,0.3657495,0.002458844,0.0146993,0.0008989385,0.1766843,0.00008667453,0.008168223,0.002511451,0.1101765,0.3100289],"study_design_scores_gemma":[0.01454353,0.00533806,0.5781583,0.004673566,0.002243024,0.0006058037,0.2253655,0.0008194636,0.04343464,0.0001722537,0.1220119,0.002633898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637898,0.000869919,0.00003059109,0.02860125,0.0001951484,0.001895963,0.00005224743,0.0002149474,0.004350089],"genre_scores_gemma":[0.9905989,0.00212807,0.002420021,0.001162144,0.00011074,0.002165993,0.0001149167,0.00004675002,0.001252498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.307395,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3099626769061598,"score_gpt":0.377025150672652,"score_spread":0.06706247376649216,"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."}}