{"id":"W4281755376","doi":"10.2196/37749","title":"Pharmaceutical Payments to Authors of Dermatology Guidelines After Publication","year":2022,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dermatology; Payment; Medicine; Business; Finance","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01005861,0.0006154475,0.00107262,0.003848378,0.003062022,0.00865042,0.001432271,0.01360038,0.2158474],"category_scores_gemma":[0.1274942,0.001025348,0.001564895,0.002560389,0.001186286,0.002703915,0.002494225,0.00780037,0.1458794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003456122,"about_ca_system_score_gemma":0.01083559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003040022,"about_ca_topic_score_gemma":0.010234,"domain_scores_codex":[0.9773236,0.004491959,0.003325702,0.001036121,0.01111947,0.002703222],"domain_scores_gemma":[0.8022209,0.04808746,0.01370608,0.009581924,0.106917,0.01948645],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004829744,0.00004670117,0.0004129152,0.00008932608,0.00001459005,0.000184666,0.0000289774,0.00001836485,0.0001046324,0.001025064,0.9847757,0.01325075],"study_design_scores_gemma":[0.0001175488,0.00007959686,0.003063123,0.0003402302,0.00002754564,0.0004641469,0.0001523426,0.0001566319,0.0003210146,0.001679946,0.9935719,0.00002605085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00449013,0.009661333,0.002523673,0.3599256,0.2073233,0.001107936,0.004882457,0.001199205,0.4088864],"genre_scores_gemma":[0.03280584,0.008074716,0.004175819,0.1577885,0.09620515,0.0007769,0.00691242,0.0009263756,0.6923343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9899414,"threshold_uncertainty_score":0.7220816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4441014858629394,"score_gpt":0.5906040356109175,"score_spread":0.1465025497479781,"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."}}