{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.05463327,0.0003856944,0.0006579433,0.004029093,0.04270892,0.02282335,0.003083676,0.005070456,0.008581416],"category_scores_gemma":[0.1424839,0.000564339,0.0004256615,0.004781245,0.01194594,0.00838247,0.01532848,0.009032837,0.002486691],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01788813,"about_ca_system_score_gemma":0.05380622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05237069,"about_ca_topic_score_gemma":0.1756921,"domain_scores_codex":[0.9626225,0.01603696,0.001336727,0.001390242,0.0125754,0.006038126],"domain_scores_gemma":[0.7804568,0.0467488,0.0212613,0.01071195,0.05861432,0.08220683],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000199376,0.0008331086,0.2442503,0.0006183935,0.00006263427,0.005441804,0.4444138,0.0002830201,0.002720417,0.02060713,0.0748685,0.2057015],"study_design_scores_gemma":[0.00001354332,0.0004514103,0.101525,0.0009240013,0.00002854555,0.00147998,0.6421708,0.0006326957,0.002987991,0.005555246,0.2440389,0.0001917844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6509092,0.003547798,0.002727145,0.2720312,0.001619926,0.0004132692,0.0003367277,0.0002939476,0.06812075],"genre_scores_gemma":[0.9513343,0.002282157,0.002997412,0.01047151,0.0006039143,0.0001553521,0.0001410628,0.0001728954,0.03184141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9949296,"threshold_uncertainty_score":0.2889318,"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."}}