{"id":"W2431256464","doi":"10.1097/der.0000000000000195","title":"Reporting Cosmetic Adverse Events to the US Food and Drug Administration","year":2016,"lang":"en","type":"article","venue":"Dermatitis","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Food and drug administration; Adverse effect; Drug; Pharmacology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003991495,0.0004144887,0.0004104964,0.006043611,0.0006062115,0.001443227,0.0004895803,0.0008503967,0.009729817],"category_scores_gemma":[0.02275902,0.0001919174,0.0008188074,0.005686711,0.0002543387,0.0009224016,0.0008286897,0.001147977,0.003112733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136765,"about_ca_system_score_gemma":0.002727158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679528,"about_ca_topic_score_gemma":0.01335847,"domain_scores_codex":[0.9899781,0.001729295,0.002183983,0.0005145483,0.005214842,0.0003792135],"domain_scores_gemma":[0.9601302,0.006526256,0.01826503,0.0011292,0.0127622,0.001187143],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003534893,0.0002190482,0.2633991,0.002513438,0.0003317319,0.00055409,0.0001721705,0.000231336,0.001707353,0.0008483934,0.3850458,0.3446241],"study_design_scores_gemma":[0.00008260558,0.0003680316,0.4877153,0.003003391,0.0003503087,0.002659829,0.0004777205,0.0004693371,0.00283879,0.0006733531,0.5012964,0.00006499721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.143017,0.1498338,0.009097781,0.05603313,0.008950679,0.003671284,0.2293637,0.004976736,0.3950559],"genre_scores_gemma":[0.5403734,0.1872322,0.01092634,0.05447422,0.00881078,0.001920855,0.1396976,0.0005611348,0.05600355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9960085,"threshold_uncertainty_score":0.03339505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.294991781282372,"score_gpt":0.5081549847149263,"score_spread":0.2131632034325543,"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."}}