{"id":"W4242116028","doi":"10.1145/3140587.3062346","title":"Miniphases: compilation using modular and efficient tree transformations","year":2017,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Compiler; Tree traversal; Programming language; Modular design; Just-in-time compilation; Intermediate language; Optimizing compiler; Parallel computing; Cache; Modularity (biology); Compiler correctness; Dynamic compilation","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":[0.001003254,0.0007469627,0.0004713476,0.0008731268,0.0004397886,0.001078463,0.001182839,0.0004496188,0.004787148],"category_scores_gemma":[0.002976311,0.0006854142,0.001154825,0.0008399904,0.000757959,0.00180034,0.001890481,0.001104385,0.00224916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004327197,"about_ca_system_score_gemma":0.001326668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008230417,"about_ca_topic_score_gemma":0.001549023,"domain_scores_codex":[0.9990982,0.0002108792,0.00006790332,0.0001652574,0.0003379123,0.0001199047],"domain_scores_gemma":[0.9983109,0.0004648313,0.0001415087,0.0007855228,0.0002279405,0.00006933626],"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":[0.0006044334,0.0003947431,0.004616777,0.0006269593,0.0001753933,0.0005169088,0.0009324292,0.1020945,0.1418184,0.09375465,0.03242034,0.6220444],"study_design_scores_gemma":[0.0002422094,0.0004888983,0.002341819,0.0001109919,0.0001431705,0.0008708158,0.0001794087,0.6095167,0.1813303,0.09724684,0.1074107,0.0001181518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02006783,0.0001442414,0.9485219,0.00009114261,0.00008405664,0.0001432371,0.0002212985,0.02500102,0.005725383],"genre_scores_gemma":[0.2120984,0.0002629311,0.7672514,0.000219319,0.0000867484,0.0003206466,0.001278949,0.0104922,0.00798926],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004787148,"threshold_uncertainty_score":0.01601458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04625863191215347,"score_gpt":0.3064293902375374,"score_spread":0.2601707583253839,"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."}}