{"id":"W4400482823","doi":"10.55016/ojs/cpai.v5i2.76456","title":"Pens for Hire: Part 3","year":2023,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003442222,0.0002327051,0.0002759528,0.0004939043,0.001413776,0.00006176528,0.000776433,0.0020231,0.000832248],"category_scores_gemma":[0.006575916,0.0002407158,0.0001982626,0.0008435505,0.0006171862,0.0002588255,0.00002714211,0.006108455,0.001094522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816463,"about_ca_system_score_gemma":0.002375775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1749935,"about_ca_topic_score_gemma":0.2091866,"domain_scores_codex":[0.9971123,0.0003118509,0.0002886539,0.000602796,0.0004531867,0.001231254],"domain_scores_gemma":[0.9975872,0.0008705445,0.00009123699,0.0002420671,0.0003280225,0.0008809321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002103195,0.000006769964,0.000344643,0.000005388089,0.00002072849,0.000007492919,0.03287897,0.000002469352,0.00001549987,0.6400814,0.3243304,0.002285199],"study_design_scores_gemma":[0.0001850156,0.00004354475,0.000686612,0.00005303862,0.00001439198,0.0000017834,0.105333,0.0001105129,0.00005240901,0.0286871,0.8645423,0.0002902928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1130466,0.000957311,0.0003003809,0.3385798,0.004998484,0.002708983,0.001833924,0.001290704,0.5362838],"genre_scores_gemma":[0.9395961,0.002419594,0.0001941927,0.00723387,0.004106897,0.0002075183,0.00011386,0.00005725078,0.04607071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8265495,"threshold_uncertainty_score":0.9998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06597805505546861,"score_gpt":0.3584994969803379,"score_spread":0.2925214419248693,"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."}}