{"id":"W4409940571","doi":"10.5040/9781666983142","title":"Academic Misconduct and Plagiarism","year":2020,"lang":"en","type":"book","venue":"","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misconduct; Scientific misconduct; Academic integrity; Political science; Criminology; Psychology; Law; Social psychology; Medicine","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":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001038146,0.0002565388,0.0003878663,0.00007741772,0.000402462,0.00006403816,0.0005006338,0.007019185,0.002513994],"category_scores_gemma":[0.0005767402,0.0002417765,0.00009102744,0.00006792216,0.0006528582,0.0001827991,0.0001279143,0.01044856,0.0007817229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527002,"about_ca_system_score_gemma":0.001320435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008465393,"about_ca_topic_score_gemma":0.0002265405,"domain_scores_codex":[0.9981294,0.0001757875,0.0003006469,0.0004484663,0.0005696709,0.0003760658],"domain_scores_gemma":[0.998845,0.000472593,0.0001514451,0.0001181824,0.00006262927,0.0003501543],"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":[0.0000033116,9.715325e-7,0.000009080028,0.00001750751,0.00002076654,0.00000875732,0.005866821,2.490658e-8,0.000005250707,0.3455845,0.645449,0.00303392],"study_design_scores_gemma":[0.0000741664,0.00001263858,0.000003501036,0.00006960005,0.00004405709,0.000003267533,0.0009992532,0.000005475664,0.000009420583,0.1031848,0.8953151,0.0002788352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000238659,0.002453773,0.00008830709,0.02034496,0.0005364316,0.0002798704,0.00003485397,0.0001827047,0.9760552],"genre_scores_gemma":[0.0002612796,0.005948708,0.0002618625,0.005494031,0.002527712,0.000004819181,0.00004542699,0.00002795272,0.9854282],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.249866,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04670626669672726,"score_gpt":0.3143870360814521,"score_spread":0.2676807693847248,"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."}}