{"id":"W4231689289","doi":"10.32920/ryerson.14665956","title":"Code coagulation is an effective compilation technique for the JVM","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Compiler; Computer science; Java; Interpreter; Programming language; Code (set theory); Interface (matter); Source code; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007184035,0.0007200694,0.0005231894,0.001069762,0.0007706631,0.0009063092,0.001051786,0.0006090277,0.006983612],"category_scores_gemma":[0.003301595,0.0006374448,0.0008462807,0.0007454594,0.0009292645,0.0009717076,0.001500143,0.001867198,0.004207119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340429,"about_ca_system_score_gemma":0.0009445237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006808973,"about_ca_topic_score_gemma":0.0009548777,"domain_scores_codex":[0.998497,0.0001769612,0.00008437441,0.0002531069,0.0008606034,0.0001279851],"domain_scores_gemma":[0.9983956,0.0004752318,0.0001550789,0.0006066522,0.00030768,0.00005971028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003792973,0.0001706099,0.002852408,0.0008647884,0.000137198,0.0005199013,0.0008165872,0.00858876,0.1596362,0.04834412,0.06387268,0.7138174],"study_design_scores_gemma":[0.0002745033,0.0004248174,0.004547819,0.0002340578,0.0001382551,0.001912647,0.0001035524,0.08050183,0.3039278,0.04561972,0.5621766,0.0001383779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01691869,0.0006229134,0.9028946,0.0003560388,0.0005403425,0.0003446012,0.0003885548,0.05860337,0.01933078],"genre_scores_gemma":[0.1549419,0.0005934232,0.7872434,0.0006299163,0.0003096432,0.0005610055,0.001122747,0.02873933,0.02585853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006983612,"threshold_uncertainty_score":0.02336252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675630503311766,"score_gpt":0.3198865797328846,"score_spread":0.283130274699767,"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."}}