{"id":"W4382567344","doi":"10.1007/978-3-031-36336-8_50","title":"GPTutor: A ChatGPT-Powered Programming Tool for Code Explanation","year":2023,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Topic Modeling","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Personalization; Code (set theory); Source code; Microsoft Visual Studio; Studio; Programming language; Visual programming language; Extension (predicate logic); Multimedia; Software engineering; Program code; Human–computer interaction; World Wide Web; Software","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":[0.0009130425,0.001614475,0.0006957166,0.001677137,0.0005693799,0.001816138,0.002233497,0.001349794,0.1618225],"category_scores_gemma":[0.006075927,0.0009438131,0.001075028,0.001333244,0.0005053108,0.002853672,0.00237959,0.002200257,0.04964366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006541546,"about_ca_system_score_gemma":0.0009009311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208491,"about_ca_topic_score_gemma":0.001614869,"domain_scores_codex":[0.9994088,0.0001683719,0.00003902849,0.0001010128,0.0002228421,0.00005994373],"domain_scores_gemma":[0.9966044,0.002420947,0.00009528919,0.0003797004,0.0003485123,0.0001511479],"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":[0.0002745335,0.0001242107,0.0005610699,0.0009926965,0.00004570224,0.0003928249,0.001162567,0.004612633,0.009417151,0.04388556,0.4969755,0.4415557],"study_design_scores_gemma":[0.000213866,0.0001032643,0.0007554055,0.0004403441,0.00006780121,0.001017866,0.0002275294,0.09418362,0.02158752,0.06348722,0.8178108,0.0001046928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00164737,0.0001656322,0.7691074,0.0002799996,0.0002439142,0.0002328338,0.003346304,0.1907962,0.03418036],"genre_scores_gemma":[0.05179485,0.0008187686,0.5963214,0.001103206,0.000329715,0.001806616,0.01533386,0.1688235,0.1636681],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1618225,"threshold_uncertainty_score":0.5413502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07773957927845275,"score_gpt":0.3172244401409606,"score_spread":0.2394848608625079,"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."}}