{"id":"W3144969684","doi":"10.1145/563517.563350","title":"What comes after CS 1 + 2","year":2002,"lang":"en","type":"article","venue":"ACM SIGCSE Bulletin","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics education; Computer science; AP Computer Science; Science education; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004257426,0.0003766447,0.0003442357,0.0009889356,0.004545861,0.01059978,0.001253238,0.003797168,0.07380914],"category_scores_gemma":[0.01317509,0.0002718107,0.0005279885,0.001295549,0.002874929,0.01011252,0.003351479,0.006221369,0.01363605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005231131,"about_ca_system_score_gemma":0.005871352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086529,"about_ca_topic_score_gemma":0.017713,"domain_scores_codex":[0.9966366,0.0007960683,0.00009213548,0.0003772406,0.001113772,0.0009841572],"domain_scores_gemma":[0.9918934,0.001297747,0.0003267308,0.0005674206,0.001567766,0.004346969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001410361,0.0001285206,0.001400322,0.0002594693,0.000009848041,0.0001994474,0.001047212,0.0001279055,0.0005359693,0.08380407,0.7406369,0.1717094],"study_design_scores_gemma":[0.0000110205,0.00005228697,0.002560574,0.0002885434,0.00000531598,0.0001840843,0.001799509,0.00006590971,0.0003207673,0.01738231,0.9773078,0.00002195974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01601897,0.02588264,0.00285726,0.5943536,0.1037269,0.0000337354,0.0004679624,0.000753494,0.2559054],"genre_scores_gemma":[0.3179154,0.02835554,0.004194619,0.2631416,0.05504416,0.0001091541,0.001130067,0.001836843,0.3282726],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07380914,"threshold_uncertainty_score":0.2469162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205257423997552,"score_gpt":0.2306500195491508,"score_spread":0.2101242771493956,"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."}}