{"id":"W2023467321","doi":"10.1145/1562877.1562937","title":"Adaptation of team-based learning on a first term programming class","year":2009,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"","keywords":"Computer science; Adaptation (eye); Class (philosophy); Term (time); Artificial intelligence; Mathematics education; 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":[0.0004565695,0.0001204672,0.000135031,0.0001470121,0.0002564797,0.0001320064,0.0003680486,0.0000553026,0.000004347906],"category_scores_gemma":[0.0001378123,0.0001060365,0.00007529291,0.0003043031,0.00002100208,0.0001681778,0.00002418894,0.0003212663,0.0000154533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000321779,"about_ca_system_score_gemma":0.0000332547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005690572,"about_ca_topic_score_gemma":0.00001495389,"domain_scores_codex":[0.9988774,0.00009289783,0.0002052564,0.0002918521,0.0002751494,0.0002574597],"domain_scores_gemma":[0.9993541,0.0001209973,0.0001410929,0.0002758423,0.00004559644,0.00006233182],"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":[0.000008308655,0.0001197697,0.002146516,0.00001087255,0.000003623185,0.000002540912,0.001450849,0.03170904,0.00004431709,0.006987931,0.00002235477,0.9574939],"study_design_scores_gemma":[0.001055897,0.003045897,0.01871974,0.0002851141,0.00001159003,0.000007420336,0.0003215231,0.6468404,0.001007897,0.00007521403,0.3281766,0.0004527796],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04093227,0.0000318903,0.9550579,0.001141699,0.00008069849,0.0001628314,5.674715e-8,0.0007450607,0.001847585],"genre_scores_gemma":[0.7904328,5.409854e-7,0.2092111,0.0001038885,0.00002322169,0.000005310631,0.000002013339,0.000005451824,0.0002156001],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9570411,"threshold_uncertainty_score":0.4324043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949364337488405,"score_gpt":0.2540415866277703,"score_spread":0.2345479432528862,"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."}}