{"id":"W1637346","doi":"10.5753/sbac-pad.2001.22210","title":"Using the SGI Pro64 Open Source Compiler Infra-Structure for Teaching and Research","year":2001,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Compiler; Computer science; Suite; Compiler construction; Compiler correctness; Interprocedural optimization; Class (philosophy); Optimizing compiler; Programming language; Source code; Parallel computing; Loop optimization; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002218761,0.00009144952,0.000106884,0.00007850151,0.001050888,0.0008724583,0.001426382,0.00005175718,0.000004816157],"category_scores_gemma":[0.0006890005,0.00005642774,0.00001876425,0.0002352408,0.0001135133,0.0003315829,0.001317559,0.0003923214,8.448397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002693854,"about_ca_system_score_gemma":0.00005536287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006178207,"about_ca_topic_score_gemma":0.00001505401,"domain_scores_codex":[0.9988234,0.0002162452,0.0001255741,0.0003125918,0.0002191406,0.00030303],"domain_scores_gemma":[0.9981331,0.001123818,0.00003900116,0.0005297558,0.0001206743,0.00005363287],"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":[0.00004160703,0.00009334728,0.02361867,0.00005936027,0.00003553168,0.00001219899,0.009863192,0.0002645593,0.001702246,0.08645667,0.2585773,0.6192753],"study_design_scores_gemma":[0.0004118479,0.0001839566,0.001148689,0.0001206104,0.000005933985,0.0003134364,0.0001490419,0.5895284,0.0008924847,0.3007537,0.1061761,0.0003157168],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04021915,0.00004278413,0.9532687,0.001820542,0.00005144967,0.0006323903,9.994537e-7,0.001842445,0.002121532],"genre_scores_gemma":[0.3824001,0.000001031078,0.6163377,0.0005832135,0.000063354,0.00002049448,6.54365e-7,0.000009354366,0.0005841259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6189595,"threshold_uncertainty_score":0.8413135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1797832101432179,"score_gpt":0.4333744875428981,"score_spread":0.2535912773996802,"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."}}