{"id":"W4400335747","doi":"10.1145/3649405.3659526","title":"Working Group Proposal: Computing Education in Africa","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 British Columbia","funders":"","keywords":"Group (periodic table); Computer science; World Wide Web","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":[0.0006445278,0.00006764122,0.00006004176,0.0001699798,0.00007076035,0.0005455138,0.0003000793,0.00002930193,0.000003226397],"category_scores_gemma":[0.00002474571,0.00005853361,0.00002660139,0.0005246015,0.000009397299,0.0001992038,0.0001106952,0.00027809,0.00004893909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022391,"about_ca_system_score_gemma":0.0001513305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009088687,"about_ca_topic_score_gemma":0.00002065752,"domain_scores_codex":[0.9991868,0.00007929162,0.0001253706,0.0002802055,0.0001145331,0.0002137759],"domain_scores_gemma":[0.9996933,0.00008819761,0.00001702865,0.0001605532,0.000007629525,0.00003325904],"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":[1.913524e-7,0.00002602086,0.001169262,0.00001104774,0.000001582401,0.000004534786,0.003082212,0.00006785917,0.00001733762,0.1513,0.0003790256,0.8439409],"study_design_scores_gemma":[0.00007096386,0.00004565715,0.003209201,0.0005498012,0.000002459521,0.00002815181,0.0004115021,0.2749519,0.00001718608,0.002965409,0.7175068,0.0002409042],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007173697,0.001137922,0.975593,0.001497861,0.001529362,0.0001000284,7.776113e-9,0.00136311,0.01160498],"genre_scores_gemma":[0.7264825,9.643649e-7,0.2723103,0.00003943548,0.0000828862,0.000002833431,4.986746e-7,0.000005954882,0.001074676],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8437,"threshold_uncertainty_score":0.5260403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004187446897139,"score_gpt":0.2810202132289358,"score_spread":0.2609783387599645,"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."}}