{"id":"W4400798866","doi":"10.1145/3626203.3670530","title":"A 'Microcredential in Advanced Computing' Program","year":2024,"lang":"en","type":"article","venue":"","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Memorial University of Newfoundland","funders":"Government of Canada","keywords":"Computer science; Programming language; Computer architecture; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001730068,0.0000578041,0.00005727158,0.0001502275,0.00003078046,0.0003530621,0.0002427269,0.0000202037,0.00004631497],"category_scores_gemma":[0.000003770693,0.00004826774,0.00002346806,0.0005571765,0.000005710345,0.0004319537,0.00006725564,0.00005563064,0.0005176618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000574142,"about_ca_system_score_gemma":0.0001260032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009116882,"about_ca_topic_score_gemma":0.000005445163,"domain_scores_codex":[0.9993395,0.00001324044,0.0002264323,0.0001476647,0.0001326767,0.000140522],"domain_scores_gemma":[0.9997852,0.00001149426,0.00001829995,0.0001181427,0.00003224433,0.00003464075],"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":[6.190635e-7,0.00006821218,0.0002046419,0.00005586344,0.00000610431,0.000007758737,0.006914659,0.00005430265,0.00008844804,0.2337285,0.01123574,0.7476351],"study_design_scores_gemma":[0.0003777385,0.00004704414,0.006832838,0.0001895329,0.000001000768,0.00009056316,0.0009117642,0.2949684,0.001675989,0.0006643613,0.6939025,0.0003382572],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03628563,0.000157876,0.9009573,0.001473299,0.002979128,0.0005338793,2.442765e-7,0.001007511,0.05660517],"genre_scores_gemma":[0.9125417,0.000001985724,0.08545502,0.0002328577,0.00003170112,0.00003862852,0.000002532188,0.000002586866,0.001693003],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.876256,"threshold_uncertainty_score":0.6653668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006611180858875056,"score_gpt":0.2918308199345865,"score_spread":0.2852196390757115,"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."}}