{"id":"W3210545758","doi":"10.11575/cpai.v3i2.71644","title":"COVID-19: A silver lining for academic integrity from a pandemic","year":2020,"lang":"en","type":"article","venue":"University of Calgary","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Academic integrity; Virology; Medicine; Engineering; Infectious disease (medical specialty); Outbreak; Engineering ethics; Disease; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006985858,0.00008679782,0.0002115112,0.00004120736,0.0004334991,0.000006525338,0.0005153327,0.0008793942,0.0008643112],"category_scores_gemma":[0.003078368,0.000103449,0.0001332133,0.0001583969,0.0003949636,0.0001992381,0.00009159167,0.001728499,0.00002951416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618169,"about_ca_system_score_gemma":0.001125832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131015,"about_ca_topic_score_gemma":0.001156113,"domain_scores_codex":[0.9989513,0.0001990854,0.0001339765,0.0002400676,0.0002530972,0.0002225359],"domain_scores_gemma":[0.9981891,0.001015373,0.0001213843,0.00006881441,0.0000835928,0.000521738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001851396,0.00006804768,0.08601471,0.0001695669,0.0002395481,0.00007201676,0.5376942,0.00003779576,0.002621191,0.1690768,0.1742029,0.02795194],"study_design_scores_gemma":[0.0009883309,0.00006080396,0.0005967764,0.00003850335,0.00008414043,6.23927e-7,0.03638511,0.002679234,0.00007146858,0.01125453,0.9476268,0.0002137127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3539535,0.0009994849,0.5142022,0.08055041,0.0005786234,0.001273584,0.0004394574,0.0006208413,0.0473818],"genre_scores_gemma":[0.9742993,0.000850565,0.008944085,0.0137158,0.0005329711,5.965704e-7,0.00007491148,0.00001142642,0.001570384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7734239,"threshold_uncertainty_score":0.985207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07157699761022303,"score_gpt":0.3112571098036382,"score_spread":0.2396801121934152,"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."}}