{"id":"W4321003617","doi":"10.1111/phpp.12867","title":"The efficacy of different pretreatments combined with photodynamic therapy for actinic keratosis: Systematic review and network meta‐analysis","year":2023,"lang":"en","type":"review","venue":"Photodermatology Photoimmunology & Photomedicine","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"Ministry of Industry and Information Technology of the People's Republic of China","keywords":"Actinic keratosis; Table (database); Table of contents; Meta-analysis; Photodynamic therapy; Computer science; Dermatology; Information retrieval; Medicine; Psychology; Chemistry; Data mining; Internal medicine; World Wide Web; Organic chemistry","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","metaepi_broad"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001158867,0.001846452,0.0271147,0.0007773571,0.0005779936,0.00002640222,0.0008557858,0.0007234816,0.00007375501],"category_scores_gemma":[0.0004137299,0.0008890922,0.003296858,0.002416816,0.00179188,0.00005234384,0.0003066768,0.001056841,0.00001444543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453458,"about_ca_system_score_gemma":0.0004425703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005616266,"about_ca_topic_score_gemma":0.0001007175,"domain_scores_codex":[0.9920866,0.001199869,0.003415348,0.001443734,0.0005582015,0.001296228],"domain_scores_gemma":[0.9848461,0.008677304,0.003336224,0.002549911,0.0003864836,0.0002039596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0009563953,0.0003246128,0.0000582639,0.4381803,0.5595043,0.00007218878,0.0001031537,1.78755e-7,0.00000409938,0.00001976042,0.0003393804,0.0004374009],"study_design_scores_gemma":[0.005546962,0.002585653,0.0001366454,0.10389,0.8781473,0.001239318,0.00007088992,0.00001366698,0.0000631754,0.00003367527,0.007602031,0.000670703],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006088426,0.9695042,0.000009735599,0.0003883318,0.0003046794,0.02875627,0.0001926228,0.000186903,0.00004835516],"genre_scores_gemma":[0.001447418,0.9641502,0.00004539953,0.0007343267,0.00004230084,0.03230864,0.0006093119,0.0002641139,0.0003983186],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3342903,"threshold_uncertainty_score":0.999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323697386604415,"score_gpt":0.3555718912352649,"score_spread":0.3023349173692207,"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."}}