{"id":"W7133206046","doi":"10.2310/6620.2010.00008w","title":"Melasma and Post-inflammatory Hyperpigmentation: Better Monitoring Tools and Treatment Options","year":2010,"lang":"en","type":"article","venue":"Dermatitis","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Melasma; MEDLINE; Single use; Sunscreening Agents","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":[0.002600425,0.000675849,0.001330419,0.001559273,0.000319618,0.00116995,0.0005224207,0.001507798,0.003141029],"category_scores_gemma":[0.003853774,0.0002380988,0.0005274864,0.0007125244,0.0005959543,0.003182966,0.0003659413,0.001557307,0.0006324026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000345906,"about_ca_system_score_gemma":0.00025192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004428464,"about_ca_topic_score_gemma":0.0005123763,"domain_scores_codex":[0.9988759,0.0005119442,0.0001282002,0.0001183588,0.0002755513,0.00008992767],"domain_scores_gemma":[0.9977836,0.001032963,0.0004561388,0.0001912955,0.0003752206,0.0001607747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003228578,0.001277745,0.2594981,0.001059736,0.000210673,0.008773272,0.0003087919,0.0006327768,0.03354847,0.002679492,0.006097953,0.6826845],"study_design_scores_gemma":[0.0003955899,0.005437889,0.703024,0.001272936,0.000969796,0.1439825,0.001616041,0.009016168,0.05425581,0.006961068,0.07276893,0.0002992405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4945242,0.4089367,0.03400851,0.0207918,0.001486097,0.0002568107,0.0005578565,0.0007854365,0.03865254],"genre_scores_gemma":[0.9275897,0.04540751,0.0174978,0.002421597,0.001330741,0.00009199059,0.0002486953,0.00006471759,0.005347248],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003141029,"threshold_uncertainty_score":0.01375258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574526176874145,"score_gpt":0.3010385031707826,"score_spread":0.2752932414020411,"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."}}