{"id":"W2916351062","doi":"10.1145/3287324.3287503","title":"Static Analyses in Python Programming Courses","year":2019,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Correctness; Compiler; Debugging; Python (programming language); Programming language; Static analysis; Software engineering; Source code","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":[0.000388395,0.00008931491,0.0001337433,0.0001563416,0.00004096216,0.0002226689,0.0003972669,0.00002924377,0.00002320649],"category_scores_gemma":[0.00005133777,0.00007347584,0.00003992852,0.0004224627,0.00001351434,0.0003019981,0.00008819009,0.0001903564,0.0001577895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002502134,"about_ca_system_score_gemma":0.00003524782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003238644,"about_ca_topic_score_gemma":0.00003563443,"domain_scores_codex":[0.9989958,0.0001007564,0.0001533908,0.0002780399,0.0001856727,0.0002863787],"domain_scores_gemma":[0.9994448,0.000116763,0.0000498061,0.000322647,0.00001870595,0.00004731513],"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":[0.0000019292,0.000080961,0.04460525,0.0000231982,0.00001011927,0.00001375701,0.002547497,0.001777161,0.000188587,0.008793951,0.00009375229,0.9418638],"study_design_scores_gemma":[0.002144723,0.0009202833,0.1001227,0.000380567,0.00002556474,0.00005763455,0.005067574,0.2894042,0.001159949,0.001049604,0.5981844,0.001482749],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5095451,0.0001818318,0.4847023,0.001340437,0.0003610293,0.0003008877,1.00993e-7,0.0009412716,0.00262695],"genre_scores_gemma":[0.7844099,0.000001095947,0.2143747,0.0001066105,0.00001030408,0.000006178414,7.705411e-7,0.00000594263,0.001084443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9403811,"threshold_uncertainty_score":0.2996258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926894419925449,"score_gpt":0.348564566959947,"score_spread":0.3092956227606926,"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."}}