{"id":"W2898295052","doi":"10.1145/3281287.3281294","title":"Building JIT compilers for dynamic languages with low development effort","year":2018,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Compiler; Just-in-time compilation; Programming language; Intermediate language; Machine code; Abstract syntax tree; Scheme (mathematics); Interpreter; Code generation; Code (set theory); Compiled language; Implementation; Virtual machine; Syntax; Parallel computing; High-level programming language; Operating system; Parsing; Artificial intelligence; Set (abstract data type); Programming paradigm","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":[0.0002146944,0.0001091475,0.0001219174,0.00005258123,0.0001590429,0.0001304986,0.0004306862,0.00003532957,0.00001104456],"category_scores_gemma":[0.000005497611,0.00007238147,0.00002659765,0.0001387022,0.00004726164,0.0001400732,0.00008819277,0.00003373782,0.00005875244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004565415,"about_ca_system_score_gemma":0.00006871931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003186193,"about_ca_topic_score_gemma":0.0002501948,"domain_scores_codex":[0.9991427,0.000008537939,0.0001330174,0.0002809006,0.0001556215,0.0002792285],"domain_scores_gemma":[0.9995158,0.00002770499,0.00005485621,0.0002531315,0.00008560233,0.00006284736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003195284,0.0001341498,0.007871312,0.0001811938,0.0001493443,0.00002261521,0.004400419,0.00003085867,0.0009629068,0.6890055,0.001953908,0.2952559],"study_design_scores_gemma":[0.00608921,0.003525774,0.03292613,0.0001620444,0.00005454156,0.0002868577,0.002037234,0.1857551,0.07976948,0.01407993,0.6720462,0.003267474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02878319,0.00003007688,0.9657359,0.00008140177,0.0002338529,0.0003004497,1.613616e-7,0.0002368207,0.004598156],"genre_scores_gemma":[0.7423294,2.910824e-7,0.2565092,0.0001185047,0.00005141564,0.00003151465,0.000001931424,0.000006624276,0.0009511303],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7135462,"threshold_uncertainty_score":0.2951631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227170930997542,"score_gpt":0.2634282244679038,"score_spread":0.2511565151579284,"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."}}