{"id":"W4317952630","doi":"10.1145/3582302.3582314","title":"Report on the First International Workshop on Data Systems Education (DataEd '22)","year":2023,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Bridging (networking); Panel discussion; Data management; Conjunction (astronomy); Data science; Engineering management; Library science; World Wide Web; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124812,0.0001164575,0.00009813379,0.0001391169,0.0002952155,0.0004804025,0.003790935,0.00005355126,0.00001058434],"category_scores_gemma":[0.002553246,0.00008368027,0.00003474031,0.0004261258,0.00001973414,0.0002937159,0.0009936398,0.0003717077,0.0003347245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004315755,"about_ca_system_score_gemma":0.00008908168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002148623,"about_ca_topic_score_gemma":0.00001559751,"domain_scores_codex":[0.9984751,0.0001103417,0.0002320909,0.0005774669,0.0003968419,0.0002081762],"domain_scores_gemma":[0.9957474,0.0008782774,0.0001730225,0.003117774,0.00003704991,0.00004643109],"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":[0.000008908111,0.00008856654,0.003040868,0.000008750318,0.00003337206,0.00003853046,0.0003881543,0.0005640041,0.000005612158,0.007243108,0.1540456,0.8345345],"study_design_scores_gemma":[0.00007011954,0.00003702239,0.003694208,0.0001911721,0.000003985178,0.00003379702,0.0001566303,0.02960704,0.000006045203,0.0001866996,0.9658803,0.0001329762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2853763,0.0003593201,0.2522799,0.338578,0.08990632,0.002372483,0.00004429053,0.006748558,0.02433479],"genre_scores_gemma":[0.9822662,0.00003336006,0.006782127,0.0007978864,0.001140331,0.00009320008,0.0003571994,0.00002721966,0.008502444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8344015,"threshold_uncertainty_score":0.7044563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08682560969649208,"score_gpt":0.3362625693619047,"score_spread":0.2494369596654126,"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."}}