{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03209453,0.0009625725,0.0009605693,0.0006843461,0.0008659629,0.001949863,0.002316483,0.002216653,0.003089367],"category_scores_gemma":[0.07606566,0.000795236,0.0009379216,0.0005706525,0.001310721,0.001824906,0.001642585,0.001774409,0.0006757627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539948,"about_ca_system_score_gemma":0.001683444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922866,"about_ca_topic_score_gemma":0.002365793,"domain_scores_codex":[0.9788545,0.0177615,0.001002534,0.0006273226,0.001319016,0.0004350281],"domain_scores_gemma":[0.8654453,0.1135753,0.003533514,0.009753758,0.006931575,0.0007604976],"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":[0.0115712,0.02872407,0.03301751,0.003237237,0.0007290459,0.0005518033,0.01529139,0.6073764,0.04667637,0.0372147,0.002165961,0.2134443],"study_design_scores_gemma":[0.003259001,0.02357371,0.01233672,0.0005812566,0.0004047633,0.0001272322,0.00184487,0.8860295,0.03824228,0.01893407,0.01436014,0.0003064158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4814773,0.0001607729,0.5008601,0.0005342368,0.0001618286,0.009073962,0.000359501,0.0006771325,0.006695077],"genre_scores_gemma":[0.6774911,0.0001947514,0.3077212,0.0001849384,0.00002727614,0.01200229,0.0002682051,0.00008280203,0.002027459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03209453,"threshold_uncertainty_score":0.1697341,"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."}}