{"id":"W2008830761","doi":"10.1002/spe.774","title":"<i>Ablego</i>: a function outlining and partial inlining framework","year":2006,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; IBM (Canada)","funders":"","keywords":"Computer science; Compiler; Partial evaluation; Host (biology); Programming language; Function (biology); Code (set theory); Optimizing compiler; Program transformation; Heuristics; Transformation (genetics); Set (abstract data type); Syntax; Operating system; Artificial intelligence","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":[0.001238537,0.001280119,0.0007952201,0.001197329,0.0006545768,0.002209895,0.002312178,0.001317237,0.007404598],"category_scores_gemma":[0.002960872,0.0009691512,0.001536767,0.0007159059,0.002361609,0.002845165,0.002359992,0.002151675,0.002301489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125044,"about_ca_system_score_gemma":0.001435304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003629028,"about_ca_topic_score_gemma":0.004868395,"domain_scores_codex":[0.9993138,0.0001658806,0.00003000369,0.0001273906,0.0002458568,0.0001170141],"domain_scores_gemma":[0.9988862,0.0004732989,0.0001086705,0.0003343688,0.0001374714,0.00006003633],"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":[0.0008419713,0.0001455505,0.003706096,0.001164251,0.0001332774,0.0007753039,0.001728303,0.1279302,0.06582896,0.346317,0.03635344,0.4150756],"study_design_scores_gemma":[0.0001300922,0.0003290685,0.001782721,0.0003751699,0.0001274444,0.001046597,0.000233274,0.4610092,0.07009001,0.1317136,0.3329479,0.0002149777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006045665,0.0004086708,0.9680351,0.0002717615,0.00003973838,0.00005910964,0.0001684343,0.02099727,0.003974145],"genre_scores_gemma":[0.118325,0.0007161434,0.8588876,0.000393796,0.00006325059,0.0001540682,0.0007673614,0.009196349,0.01149642],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007404598,"threshold_uncertainty_score":0.02477086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306699954922535,"score_gpt":0.2813339477890878,"score_spread":0.2682669482398624,"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."}}