{"id":"W2345474656","doi":"10.1145/2910925.2910931","title":"Study Strategies and Exam Grades in CS1","year":2016,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics education; Class (philosophy); Computer science; Psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165829,0.0005746396,0.0003361829,0.002676975,0.0005924231,0.003035873,0.0007073709,0.0006881164,0.00323529],"category_scores_gemma":[0.03167051,0.0002132579,0.0003684734,0.001084845,0.0005654527,0.00107733,0.001336802,0.001279173,0.001000015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00057308,"about_ca_system_score_gemma":0.0004299308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181094,"about_ca_topic_score_gemma":0.002662354,"domain_scores_codex":[0.9982817,0.0004236525,0.0002424713,0.0001735914,0.0006427788,0.0002359373],"domain_scores_gemma":[0.9638248,0.009277935,0.01531746,0.00104283,0.003964553,0.006572406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006933646,0.0005186563,0.9822686,0.00003904713,0.00004675928,0.000104538,0.00112484,0.0001388416,0.001119141,0.00009686928,0.000259114,0.01421431],"study_design_scores_gemma":[0.000007171376,0.0004790694,0.9955669,0.00003372714,0.00001764221,0.0002312551,0.001659874,0.0003576984,0.0008031342,0.0001673518,0.0006603404,0.00001591238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982737,0.0001059792,0.0001070981,0.00004052892,0.000004697276,0.00001228608,0.00003328957,0.00001081974,0.001411566],"genre_scores_gemma":[0.9986182,0.0001001503,0.0002208321,0.00002555863,0.000005450322,0.00001058557,0.00011076,0.00000685694,0.0009015652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00323529,"threshold_uncertainty_score":0.01145411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076927120530197,"score_gpt":0.2822575842945991,"score_spread":0.2514883130892971,"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."}}