{"id":"W2406180176","doi":"10.1145/2909609.2909611","title":"My Code in My Native Tone","year":2016,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scripting language; Bengali; Computer science; Focus (optics); Code (set theory); Tone (literature); Programming language; First language; Natural language processing; Artificial intelligence; Linguistics; Set (abstract data type)","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":[0.0003627706,0.000053889,0.00006483431,0.00006504364,0.00004215802,0.00004923922,0.0003498113,0.00002482494,0.0000244029],"category_scores_gemma":[0.00009487352,0.00003271726,0.00001906497,0.0001507423,0.00002244476,0.0002108994,0.0001065221,0.00009577194,0.000119415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559883,"about_ca_system_score_gemma":0.00002355581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043093,"about_ca_topic_score_gemma":0.00006099062,"domain_scores_codex":[0.9993536,0.00007471994,0.00008608221,0.0001999753,0.0001080397,0.000177557],"domain_scores_gemma":[0.9995899,0.0001374117,0.00002456963,0.0001956592,0.00001526306,0.00003722427],"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":[0.000001325039,0.00002640138,0.003710241,0.00000117802,0.000002658129,0.000007108968,0.002242288,0.000008215929,0.0001996923,0.05397594,0.0003715409,0.9394534],"study_design_scores_gemma":[0.001780651,0.000273395,0.04708067,0.0001847007,0.000002518947,0.00002299313,0.0003513752,0.005921921,0.003834798,0.004148765,0.9357989,0.0005992426],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04245401,0.00003276691,0.9456058,0.004734209,0.0001394257,0.00004916234,1.839518e-7,0.0003091717,0.006675328],"genre_scores_gemma":[0.9214314,0.000001614139,0.07188094,0.0001688675,0.00002183611,0.000004751839,9.209467e-8,0.000003290555,0.006487194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9388542,"threshold_uncertainty_score":0.1534879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182145565929528,"score_gpt":0.2989511526941886,"score_spread":0.2771296970348934,"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."}}