{"id":"W4413387738","doi":"10.18260/1-2--56893","title":"Investigating Student Motivation in a Curricular Hackathon","year":2025,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mathematics education; Multimedia; Psychology; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004977806,0.0005557185,0.0005294789,0.002338198,0.003926828,0.006554726,0.001285602,0.001369481,0.007314523],"category_scores_gemma":[0.01950416,0.0004900269,0.0005521299,0.0009950465,0.001652099,0.001623511,0.004677898,0.003210084,0.001670151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002934355,"about_ca_system_score_gemma":0.004402599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004494017,"about_ca_topic_score_gemma":0.007592435,"domain_scores_codex":[0.9963321,0.0009093937,0.0001529724,0.0003770402,0.0009216291,0.001306816],"domain_scores_gemma":[0.980409,0.004201112,0.002951058,0.0008972356,0.003068559,0.008473055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001300442,0.0279646,0.8485605,0.0001173261,0.00008563256,0.0003527178,0.04150662,0.0003839905,0.002462994,0.002883085,0.003367081,0.07101488],"study_design_scores_gemma":[0.0001550854,0.008241328,0.8960501,0.0001574922,0.00006306892,0.0001901872,0.07823396,0.001852585,0.003433048,0.001784259,0.009717774,0.0001211174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978718,0.00001122217,0.0001118138,0.0001452652,0.00002358176,0.00005345451,0.00002026738,0.00001297494,0.001749675],"genre_scores_gemma":[0.9951329,0.00002171573,0.0002970356,0.0001749201,0.00001189447,0.0001008169,0.00005088693,0.00001169414,0.004198202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007314523,"threshold_uncertainty_score":0.02632546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00739707167277501,"score_gpt":0.2364145645206142,"score_spread":0.2290174928478392,"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."}}