{"id":"W2065236871","doi":"10.1145/1869746.1869766","title":"PlagDetect","year":2010,"lang":"en","type":"article","venue":"ACM Inroads","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Plagiarism detection; Java; Context (archaeology); Programming language; Measure (data warehouse); Software engineering; Artificial intelligence; Data mining","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002398297,0.0007058453,0.0005849757,0.003398169,0.00137617,0.004855433,0.001662228,0.0009391668,0.2055879],"category_scores_gemma":[0.01109265,0.0005275287,0.00043671,0.0026227,0.0006602191,0.003526892,0.005021445,0.001579872,0.1199917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342959,"about_ca_system_score_gemma":0.001890407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260484,"about_ca_topic_score_gemma":0.001977898,"domain_scores_codex":[0.9977962,0.0004237191,0.0001343224,0.0003673833,0.001060965,0.0002174297],"domain_scores_gemma":[0.9926202,0.001478086,0.0005227666,0.002317393,0.001848994,0.001212617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000603726,0.0002363823,0.007308391,0.0007309709,0.00003063249,0.0003090585,0.0006726366,0.0007920155,0.00571906,0.02117623,0.4488062,0.5136147],"study_design_scores_gemma":[0.00006684416,0.0001236905,0.006075689,0.0001044562,0.00001130382,0.0005006603,0.0001670133,0.002320141,0.005086433,0.005304013,0.9802096,0.00003023347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.05696682,0.002386964,0.1041624,0.004541322,0.003121071,0.001048926,0.0391826,0.1317619,0.656828],"genre_scores_gemma":[0.2215591,0.001898689,0.07385024,0.001785382,0.0007458664,0.001039427,0.08090098,0.01872187,0.5994984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9990608,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0092614352417447,"score_gpt":0.2693851248016546,"score_spread":0.2601236895599099,"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."}}