{"id":"W3210855796","doi":"10.24908/pceea.vi0.14134","title":"USING AGENT-BASED MODELLING FOR EER EXPERIMENTAL DESIGN: PRELIMINARY VALIDATION BASED ON STUDENT CHEATING BEHAVIOURS","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Suncor Energy Incorporated","keywords":"Cheating; Context (archaeology); Computer science; Extension (predicate logic); Work (physics); Psychology; Engineering; Social psychology; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007495409,0.0001262541,0.0001257457,0.0001789028,0.0005228061,0.0001891177,0.0002756416,0.0001003319,0.00001987269],"category_scores_gemma":[0.0005716687,0.0001427863,0.00009529118,0.0003741663,0.0000139363,0.0001989295,0.00001593415,0.0001126475,0.000001792281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524233,"about_ca_system_score_gemma":0.0006223998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581023,"about_ca_topic_score_gemma":0.0003519892,"domain_scores_codex":[0.9988218,0.00001825446,0.0002302763,0.0002098598,0.0004291862,0.0002906314],"domain_scores_gemma":[0.9990579,0.00008546621,0.0002656621,0.0000532932,0.0003483774,0.0001892931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002410406,0.0002059837,0.04002571,0.0001556757,0.00005186221,7.803529e-8,0.01942912,0.9294718,0.002700099,0.004198185,0.003331587,0.0004058155],"study_design_scores_gemma":[0.00033716,0.00006231804,0.002870825,0.0001623319,0.00008682111,2.73537e-8,0.002997412,0.9806332,0.01097166,0.00002762717,0.001604348,0.0002462897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267066,0.0001153727,0.04732924,0.0125104,0.002627459,0.003909117,0.00003101691,0.000281197,0.006489642],"genre_scores_gemma":[0.9912159,4.993482e-7,0.007819723,0.0003221209,0.0002793954,0.00009806709,0.00001099272,0.00002944178,0.0002237947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06450941,"threshold_uncertainty_score":0.6600782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08223811269616862,"score_gpt":0.3144324960240261,"score_spread":0.2321943833278575,"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."}}