{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002102904,0.0006434114,0.0006887206,0.002084214,0.00482178,0.01116624,0.001730446,0.004750716,0.04056547],"category_scores_gemma":[0.01219072,0.0005870504,0.0006596964,0.003495691,0.007239533,0.00799205,0.003400081,0.004604191,0.014969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003740408,"about_ca_system_score_gemma":0.003436007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003779266,"about_ca_topic_score_gemma":0.007175978,"domain_scores_codex":[0.994428,0.002086656,0.0002920674,0.0003628484,0.002513821,0.0003165153],"domain_scores_gemma":[0.9833725,0.01057448,0.001321358,0.000838474,0.003218718,0.0006744348],"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":[0.00001903086,0.00003367716,0.000488745,0.000443808,0.00001038438,0.000225499,0.006883109,0.0002227019,0.0002038842,0.1432437,0.776661,0.07156446],"study_design_scores_gemma":[0.000002610181,0.00002041632,0.0009835756,0.0004951397,0.000004570345,0.0004662515,0.001511081,0.0001780399,0.0001442377,0.02130361,0.9748765,0.00001392015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00317205,0.0350643,0.005160437,0.0766914,0.01193404,0.00008918703,0.0002380962,0.0005035536,0.867147],"genre_scores_gemma":[0.08366861,0.0410873,0.004029668,0.02733439,0.01502447,0.000245041,0.0004720405,0.0009067531,0.8272318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9952493,"threshold_uncertainty_score":0.135705,"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."}}