{"id":"W4399861031","doi":"10.1145/3660650.3660663","title":"Live Session Gamification using PrairieLearn","year":2024,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Grading (engineering); Computer science; Incentive; Variety (cybernetics); Generative grammar; Multimedia; Key (lock); Mathematics education; World Wide Web; Artificial intelligence; Psychology; Computer security; Engineering","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":[0.002807905,0.001392739,0.0007237463,0.001165917,0.0003728605,0.002003822,0.002604974,0.001192831,0.02416018],"category_scores_gemma":[0.007270276,0.0005655384,0.000929861,0.0004391889,0.0005015719,0.002656261,0.003143703,0.001553949,0.006499261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237221,"about_ca_system_score_gemma":0.0004418028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002609155,"about_ca_topic_score_gemma":0.0007648843,"domain_scores_codex":[0.9987473,0.0003808941,0.00009626885,0.0003294133,0.0003011911,0.0001447589],"domain_scores_gemma":[0.9958202,0.002533718,0.0001997385,0.0007075189,0.0003425803,0.0003961421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002897577,0.007492366,0.005070971,0.001455123,0.0002081226,0.000933051,0.003266644,0.01655062,0.05129616,0.01564163,0.01675121,0.8784364],"study_design_scores_gemma":[0.002715247,0.009079929,0.01867014,0.0009975998,0.0004388768,0.003675867,0.00108895,0.363111,0.1684384,0.05057935,0.3803886,0.0008160024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1349179,0.000388628,0.755369,0.0004250149,0.0001732655,0.003159258,0.0008172063,0.05978582,0.04496393],"genre_scores_gemma":[0.2967239,0.0003950194,0.6554264,0.0002045198,0.0000552218,0.003002034,0.001372757,0.002053355,0.04076673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02416018,"threshold_uncertainty_score":0.08082384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05870202849618411,"score_gpt":0.3949940630981494,"score_spread":0.3362920346019653,"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."}}