{"id":"W2064354267","doi":"10.1145/1878537.1878723","title":"Programming in the model","year":2010,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; CAD; Programming language; Inductive programming; Programming paradigm; Functional reactive programming; Parametric statistics; Reactive programming; Procedural programming; Selection (genetic algorithm); Task (project management); Simple (philosophy); Code (set theory); Computer Aided Design; Parametric model; Visual programming language; Theoretical computer science; Engineering drawing; Artificial intelligence; Mathematics; Systems engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008419063,0.00004705832,0.00003794983,0.00003878692,0.0000890899,0.0002373937,0.0007841561,0.00002800178,0.00000194034],"category_scores_gemma":[0.00005107108,0.00002813281,0.00002200851,0.0001828338,0.00001677099,0.0001553987,0.00006423856,0.0004710245,0.00001665302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002690882,"about_ca_system_score_gemma":0.00001836131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006810075,"about_ca_topic_score_gemma":0.0001054169,"domain_scores_codex":[0.9994464,0.00003870482,0.00007139926,0.0001417101,0.0001243977,0.0001773751],"domain_scores_gemma":[0.9995652,0.00005431795,0.00001642169,0.0003352518,0.00000814882,0.00002069554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[1.817908e-7,0.00002815074,0.0008968069,0.000001012966,4.93531e-7,0.000002601152,0.003707966,0.0003759449,0.00006561611,0.1752927,0.00006722582,0.8195612],"study_design_scores_gemma":[0.0001555758,0.00003031272,0.00225991,0.000004617813,0.00000109985,0.00003095666,0.0002222141,0.7756218,0.00003739768,0.002298239,0.2191868,0.0001510621],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06477252,0.000007368623,0.928052,0.00292625,0.0001198941,0.00008566665,1.315651e-8,0.0002598411,0.003776431],"genre_scores_gemma":[0.632732,8.867323e-8,0.3668489,0.0002032848,0.00001580779,0.000009028379,1.010641e-7,0.000001678986,0.0001890753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8194102,"threshold_uncertainty_score":0.2289193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626467838532406,"score_gpt":0.2662616068416537,"score_spread":0.2499969284563297,"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."}}