{"id":"W2060626699","doi":"10.1145/2591708.2602686","title":"Team based learning in theoretical computer science","year":2014,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Value (mathematics); Subject (documents); Mathematics education; Machine learning; World Wide Web; Psychology","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":[0.002783865,0.00008810285,0.0001026234,0.0002083888,0.0002690388,0.0003406788,0.0008585699,0.0000328868,0.00001702184],"category_scores_gemma":[0.0002900055,0.00007193079,0.00002971031,0.000586199,0.0002870232,0.0002460284,0.0002164879,0.000405749,0.0000659461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000325448,"about_ca_system_score_gemma":0.00006011122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002310327,"about_ca_topic_score_gemma":0.000002279194,"domain_scores_codex":[0.9985736,0.0002001018,0.000134326,0.0004043926,0.0003070693,0.0003804903],"domain_scores_gemma":[0.9992872,0.0002277179,0.00003103066,0.0003232373,0.00003241041,0.00009841899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.484812e-7,0.00002669579,0.006913032,0.000002210259,3.550533e-7,0.00000110997,0.0003214099,0.006578068,0.00004048389,0.4412141,0.00001660446,0.5448851],"study_design_scores_gemma":[0.0002030361,0.0001180442,0.006742965,0.00001834427,4.68644e-7,0.000003747477,0.000006904127,0.966665,0.0001622324,0.0006752803,0.02528336,0.0001205626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01972025,0.000002887295,0.9724409,0.0008255488,0.0001511637,0.00004142767,6.38303e-9,0.0004661282,0.006351718],"genre_scores_gemma":[0.6514824,5.842561e-8,0.348149,0.0002911164,0.00003210045,0.000001861419,1.309889e-7,0.00000336126,0.00003999962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.960087,"threshold_uncertainty_score":0.3285174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006927684486004252,"score_gpt":0.2420784119532452,"score_spread":0.2351507274672409,"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."}}