{"id":"W4408814906","doi":"10.14293/ease.2025.007","title":"Intercepting Misconduct – Practical Tips for Editors","year":2025,"lang":"en","type":"article","venue":"","topic":"Ethics in medical practice","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Origin BioMed (Canada)","funders":"","keywords":"Misconduct; Computer science; Scientific misconduct; Computer security; Political science; Law; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.05464315,0.003131139,0.001910979,0.003113962,0.004778049,0.01884635,0.005181069,0.01248763,0.0340333],"category_scores_gemma":[0.3027415,0.001940621,0.001682147,0.001771207,0.004755288,0.03331808,0.01081466,0.01566652,0.0654691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198638,"about_ca_system_score_gemma":0.005715533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003093285,"about_ca_topic_score_gemma":0.0008688792,"domain_scores_codex":[0.9520922,0.02201961,0.005992881,0.003402717,0.01473419,0.001758325],"domain_scores_gemma":[0.6965823,0.1536134,0.01535803,0.03189618,0.07068025,0.03186985],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003411359,0.00007065425,0.0002169629,0.0002162363,0.00001466443,0.0004004247,0.001849235,0.0001342977,0.0005060594,0.00136248,0.9072214,0.08797353],"study_design_scores_gemma":[0.00002766116,0.0000546071,0.0002680036,0.0004070264,0.00001753326,0.0008776286,0.002705059,0.0002098263,0.0003310626,0.009861136,0.9851587,0.00008161435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003185604,0.01665112,0.07935277,0.5485398,0.2879579,0.0008323994,0.0004355803,0.0153206,0.04772434],"genre_scores_gemma":[0.02949444,0.02478562,0.2056675,0.2738589,0.3000074,0.00207446,0.0009952469,0.007197066,0.1559194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9875124,"threshold_uncertainty_score":0.2889841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2391428831150768,"score_gpt":0.6321654768221014,"score_spread":0.3930225937070247,"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."}}