{"id":"W3207890584","doi":"10.11575/cpai.v4i1.72822","title":"Academic integrity at ICM: Successes, challenges and opportunities","year":2021,"lang":"en","type":"article","venue":"University of Calgary","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Academic integrity; Misconduct; Presentation (obstetrics); Constructive; Coronavirus disease 2019 (COVID-19); Engineering ethics; Public relations; Order (exchange); Work (physics); Data integrity; Research integrity; Political science; Psychology; Computer science; Computer security; Business; Engineering; Medicine; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0005870371,0.0000681446,0.0001535314,0.00004776294,0.0003710322,0.000005290112,0.000207817,0.0005971121,0.0005688224],"category_scores_gemma":[0.0001641788,0.00008241241,0.00004455313,0.00005350756,0.0006416606,0.0002369713,0.0001872145,0.001009509,0.00001055268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007499818,"about_ca_system_score_gemma":0.0003312133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004020676,"about_ca_topic_score_gemma":0.006209298,"domain_scores_codex":[0.9990718,0.0002745648,0.00008073499,0.0001636119,0.0002385466,0.0001707873],"domain_scores_gemma":[0.9993185,0.0002572014,0.00006265026,0.0000858412,0.0001458563,0.0001299093],"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":[0.00005000952,0.00002689108,0.001665903,0.00007527517,0.00004011226,0.0001779773,0.04749201,1.365816e-7,0.0001632435,0.8728581,0.006877969,0.07057238],"study_design_scores_gemma":[0.0001937107,0.00001473783,0.002849724,0.000068265,0.00003277961,0.00001025528,0.04973177,0.00001965259,0.0002683614,0.006939444,0.9397368,0.0001344382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3166391,0.02722329,0.0003284159,0.04322723,0.0002646158,0.0001147032,0.00002260412,0.00008898688,0.6120911],"genre_scores_gemma":[0.59944,0.3503031,0.0007721303,0.0006347823,0.0001406626,1.274925e-7,0.00002753001,0.000007489746,0.04867412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9328589,"threshold_uncertainty_score":0.6228206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106367323467522,"score_gpt":0.2715218714327348,"score_spread":0.2004581981980595,"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."}}