{"id":"W4312352894","doi":"10.1007/978-3-030-83255-1_33","title":"Correction to: Ethics, EdTech, and the Rise of Contract Cheating","year":2022,"lang":"en","type":"book-chapter","venue":"Ethics and integrity in educational contexts","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Cheating; Line (geometry); First line; Computer science; Law; Political science; Psychology; Mathematics; Social psychology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01466785,0.000183468,0.0003902724,0.0001333649,0.00149697,0.0001580754,0.000246989,0.0009077343,0.0005697719],"category_scores_gemma":[0.0355686,0.0001600347,0.00009619835,0.00007757675,0.001883428,0.0001696062,0.0001151331,0.01082064,0.000002900729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021685,"about_ca_system_score_gemma":0.003147248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05057769,"about_ca_topic_score_gemma":0.0631566,"domain_scores_codex":[0.9973624,0.0008719867,0.0004506867,0.0002914329,0.0008240916,0.000199403],"domain_scores_gemma":[0.979312,0.01903904,0.0003154632,0.0001502786,0.001045053,0.0001381814],"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":[0.0000439341,0.00002512285,0.0001474157,0.00002971855,0.00002401812,3.028107e-7,0.1334074,9.038758e-7,0.000002652067,0.8617326,0.001774147,0.002811758],"study_design_scores_gemma":[0.000385409,0.00007830784,0.001820257,0.0005514731,0.00003461858,0.000001849728,0.009972266,0.00002122781,0.000002728052,0.6648078,0.3220775,0.0002466424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002265477,0.003906103,0.000008918834,0.3741179,0.003312666,0.000702478,0.00007332976,0.0000147113,0.6155984],"genre_scores_gemma":[0.8740212,0.01025987,0.00009525423,0.005802928,0.000725147,0.00004161309,0.00002092146,0.00002600631,0.1090071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8717557,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08658702823956109,"score_gpt":0.4155370805032944,"score_spread":0.3289500522637333,"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."}}