{"id":"W2022095654","doi":"10.3138/jsp.38.1.1","title":"Plagiarism, Publishing, and the Academy","year":2006,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Misconduct; Public relations; Ambivalence; Order (exchange); Dishonesty; Identity (music); Set (abstract data type); Sociology; Academic dishonesty; Political science; Media studies; Law; Business; Psychology; Higher education; Social psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["scholarly_communication","research_integrity"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication","research_integrity"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009888195,0.0003112116,0.0004633013,0.003451378,0.02587256,0.03462504,0.002162975,0.005970238,0.01613264],"category_scores_gemma":[0.03004319,0.0003607542,0.0005406858,0.00451428,0.02356804,0.013894,0.0116706,0.00916507,0.003894195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01067911,"about_ca_system_score_gemma":0.008958438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398294,"about_ca_topic_score_gemma":0.005885832,"domain_scores_codex":[0.9852471,0.004652448,0.001445897,0.0009795562,0.005990749,0.001684143],"domain_scores_gemma":[0.974573,0.01330968,0.003376328,0.002460211,0.002686719,0.003593962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001751887,0.0002067376,0.01122433,0.0005021697,0.00004703266,0.005225451,0.1375607,0.0004615542,0.0006390405,0.5612023,0.1104794,0.1722762],"study_design_scores_gemma":[0.00002600058,0.0001396201,0.005572785,0.0006234073,0.00002957408,0.003590821,0.07330815,0.0002455776,0.0007396666,0.1296974,0.7859409,0.00008617262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07680963,0.02191739,0.001586389,0.09673306,0.004230404,0.00003724225,0.00004370977,0.0002630777,0.798379],"genre_scores_gemma":[0.8365546,0.01015648,0.001311607,0.009433092,0.003991469,0.00005108826,0.00004708716,0.000149945,0.1383045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940298,"threshold_uncertainty_score":0.07748276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540922971001967,"score_gpt":0.2296023244091336,"score_spread":0.1941930946991139,"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."}}