{"id":"W2605231070","doi":"10.18260/1-2--21419","title":"Gamification as a Strategy for Promoting Deeper Investigation in a Reverse Engineering Activity","year":2020,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Blame; Reverse engineering; Order (exchange); Engineering education; Computer science; Work (physics); Psychology; Engineering; Mathematics education; Engineering management; Engineering ethics; Social psychology; Business","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":[0.0001840359,0.00007889732,0.00008194327,0.00005232865,0.00002163158,0.00002061704,0.00006773623,0.00006921331,0.0001892228],"category_scores_gemma":[0.0001993146,0.00008356525,0.00002865703,0.0002212526,0.00001080832,0.0001344268,0.000006305179,0.00009172726,0.00009008916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004332205,"about_ca_system_score_gemma":0.00004722912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119744,"about_ca_topic_score_gemma":0.00001541954,"domain_scores_codex":[0.9993336,0.00003312158,0.0001703996,0.0002581036,0.00006853843,0.0001362021],"domain_scores_gemma":[0.9996058,0.00008606601,0.00007082499,0.0001116966,0.00005284261,0.00007274292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000302992,0.0005598705,0.02235162,0.0003884449,0.00008764966,0.000003127396,0.07936933,0.003291308,0.2828231,0.5383199,0.004693612,0.06780909],"study_design_scores_gemma":[0.002396685,0.000609924,0.8478784,0.00009197672,0.00004910885,0.00001269693,0.008486697,0.0877833,0.02374462,0.006676692,0.02147769,0.000792232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976623,0.00002654708,0.01075208,0.01035002,0.0001042296,0.0006009412,0.000003213565,0.00007172371,0.001468226],"genre_scores_gemma":[0.9958976,0.000001687823,0.002517035,0.0006240529,0.0001300049,0.0002848638,0.00003589325,0.00001403819,0.0004948408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8255268,"threshold_uncertainty_score":0.3407692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06984162796242431,"score_gpt":0.3353208251473224,"score_spread":0.2654791971848981,"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."}}