{"id":"W2999120375","doi":"10.1145/1595496.1562937","title":"Adaptation of team-based learning on a first term programming class","year":2009,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"","keywords":"Adaptation (eye); Class (philosophy); Computer science; Term (time); Mathematics education; Artificial intelligence; Natural (archaeology); 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":[0.0006210171,0.000183485,0.0001957405,0.0001664744,0.0003384569,0.0001348039,0.0008682468,0.00008924706,0.00001391739],"category_scores_gemma":[0.0005671206,0.0001759961,0.0001060164,0.0002989175,0.00003662348,0.00006278673,0.0000846087,0.0004825178,0.00008498138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000418324,"about_ca_system_score_gemma":0.00002723351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004146957,"about_ca_topic_score_gemma":0.000003253748,"domain_scores_codex":[0.9984012,0.0001655839,0.0002832766,0.0004254504,0.0003591074,0.0003653592],"domain_scores_gemma":[0.9986732,0.0003240787,0.0002237394,0.0006354811,0.00005557672,0.00008789928],"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":[0.00003110143,0.0001955001,0.00117628,0.00002748987,0.000008938573,0.00001600046,0.001752479,0.01388294,0.00004567267,0.001571887,0.0002957919,0.9809959],"study_design_scores_gemma":[0.001023899,0.001524788,0.006451186,0.0003733209,0.00001469206,0.00001069044,0.0001954191,0.0136722,0.0006032464,0.00006534247,0.9756927,0.0003725361],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2711459,0.0003455863,0.6977342,0.02314623,0.0004510829,0.001046453,8.622956e-7,0.002642424,0.003487186],"genre_scores_gemma":[0.7672819,0.000002523205,0.2322048,0.0001970661,0.00004035389,0.00001481341,0.000004156172,0.00001129143,0.0002430936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9806234,"threshold_uncertainty_score":0.7176911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187878456204767,"score_gpt":0.2476277874525583,"score_spread":0.2288399418320816,"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."}}