{"id":"W2982586741","doi":"10.1136/bmj.l6320","title":"Research integrity: UK guidelines are updated to ensure misconduct reporting","year":2019,"lang":"en","type":"article","venue":"BMJ","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research integrity; Scientific misconduct; Misconduct; Transparency (behavior); Scientific integrity; Sanctions; Quarter (Canadian coin); Political science; House of Commons; Academic integrity; Public relations; Engineering ethics; Engineering; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","research_integrity"],"domain":"evaluation","study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","research_integrity"],"domain":"methods","study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02437147,0.0001070778,0.0002534167,0.000152576,0.0004648365,0.000111012,0.0004990817,0.0007607729,0.002190295],"category_scores_gemma":[0.02851081,0.00009279494,0.00007622426,0.0006975295,0.0001274665,0.0001429288,0.000144157,0.002599988,0.001802385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198524,"about_ca_system_score_gemma":0.0005289899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374052,"about_ca_topic_score_gemma":0.002797334,"domain_scores_codex":[0.9964168,0.0006712265,0.0008892482,0.0003780235,0.00106063,0.0005840496],"domain_scores_gemma":[0.9971486,0.000354681,0.0004384094,0.0003475235,0.001511603,0.0001991865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000185589,0.000009543078,0.02802088,0.000009038043,0.00001459768,0.00003354104,0.004995706,0.000008780751,0.0009724893,0.009075132,0.9539098,0.002931989],"study_design_scores_gemma":[0.00009912973,0.00002749746,0.003449797,0.000193257,0.000005585531,0.00000987452,0.04379831,0.00005320807,0.0008149798,0.003295405,0.9480473,0.0002056338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6521814,0.0001264988,0.00004302933,0.1235308,0.001018053,0.0007151492,0.00001150532,0.00009667785,0.222277],"genre_scores_gemma":[0.9289789,0.00003400708,0.00285873,0.002608294,0.001914857,0.00002140346,0.00001576238,0.00001485472,0.06355315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2767976,"threshold_uncertainty_score":0.9997011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3034726249822061,"score_gpt":0.5108103985235424,"score_spread":0.2073377735413363,"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."}}