{"id":"W4398760299","doi":"10.1145/3626246.3655018","title":"Third International Workshop on Data Systems Education (DataEd'24)","year":2024,"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 Toronto","funders":"","keywords":"Computer science; Data science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004599936,0.00007442548,0.00005469075,0.0001232583,0.00007202833,0.001427389,0.001663063,0.00003405064,0.00001233689],"category_scores_gemma":[0.0001036919,0.00005993808,0.00001818158,0.0001919582,0.000009500835,0.0006949485,0.0004088657,0.0002710295,0.0003560006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003037861,"about_ca_system_score_gemma":0.0001147863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108023,"about_ca_topic_score_gemma":0.000002640059,"domain_scores_codex":[0.999023,0.00005779541,0.0001225039,0.0004333723,0.0002409402,0.0001223649],"domain_scores_gemma":[0.9989195,0.0001433359,0.00002352906,0.0008527082,0.00001601197,0.00004484168],"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":[7.499678e-7,0.00003590285,0.00004580176,0.00001236041,0.00001501548,0.000003730698,0.0003301228,0.0002008611,0.000008452485,0.1916045,0.06218383,0.7455587],"study_design_scores_gemma":[0.00002087132,0.000009060106,0.0000662595,0.0001644715,0.000002247177,0.00001641929,0.0001147268,0.1827731,0.000003951318,0.00006049602,0.8166952,0.00007312035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004298171,0.0009269755,0.9516906,0.007805467,0.0144192,0.00009270804,0.000003593422,0.001151729,0.02347998],"genre_scores_gemma":[0.9047556,0.00002786144,0.06409746,0.000467384,0.001054647,0.00001722405,0.0001947175,0.00001460155,0.02937054],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9043258,"threshold_uncertainty_score":0.9996092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06536743964656362,"score_gpt":0.3466894049018174,"score_spread":0.2813219652552538,"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."}}