{"id":"W2058268605","doi":"10.1145/1999747.1999825","title":"The academic enhancement program in introductory CS","year":2011,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Mathematics education; Engineering physics; Physics; 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":[0.0008759036,0.00006847379,0.00005627342,0.000039898,0.0001326026,0.00006556003,0.0007890566,0.000037258,0.00001055229],"category_scores_gemma":[0.00006177077,0.00004310932,0.00002188434,0.0001865437,0.00004270694,0.0001473931,0.000164568,0.0004459305,0.00006295012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002644495,"about_ca_system_score_gemma":0.00002611755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008902762,"about_ca_topic_score_gemma":0.00001979769,"domain_scores_codex":[0.9991028,0.000100681,0.0001528312,0.0002224616,0.0001363476,0.0002849342],"domain_scores_gemma":[0.9995105,0.00004861666,0.00004153643,0.0003473239,0.0000138746,0.00003815009],"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":[0.000001675337,0.00003943737,0.001922388,0.000001455042,0.000002443487,0.000001236371,0.00335839,0.000001330194,0.00003163807,0.0290742,0.0002909927,0.9652748],"study_design_scores_gemma":[0.0002251677,0.0002749992,0.02093684,0.00002238855,0.000002181181,0.000005273037,0.0003288238,0.003191077,0.001589376,0.001533185,0.9716618,0.0002288677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2375703,0.00206515,0.7227039,0.00625403,0.0025627,0.001192859,5.619135e-8,0.002407491,0.02524351],"genre_scores_gemma":[0.8622712,0.00003002066,0.1355806,0.000120222,0.00006708189,0.00006653279,1.833542e-7,0.00000484078,0.001859207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9713708,"threshold_uncertainty_score":0.1937371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611317883053195,"score_gpt":0.2878064541077397,"score_spread":0.2516932752772078,"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."}}