{"id":"W7132977157","doi":"","title":"XJit: a framework for self-optimizing libraries","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; Library and Archives Canada","funders":"","keywords":"Dataflow; Compiler; Reuse; Software; Software development; Semantics (computer science); Metadata; Code reuse; Cornerstone","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":[0.002202132,0.001246928,0.0009644028,0.001747927,0.001228096,0.00369082,0.004249742,0.001234985,0.007060676],"category_scores_gemma":[0.003673971,0.001600311,0.002210521,0.00159819,0.001960448,0.004252125,0.003388532,0.00339031,0.003755528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828308,"about_ca_system_score_gemma":0.002790657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578088,"about_ca_topic_score_gemma":0.004855403,"domain_scores_codex":[0.9981622,0.0002612763,0.0001956272,0.0002658741,0.0009137737,0.0002013174],"domain_scores_gemma":[0.9985414,0.0003727214,0.0001683503,0.0005216457,0.0002627488,0.0001332519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003650008,0.0002059351,0.001926543,0.0007328612,0.0001260637,0.0004544567,0.0007472743,0.07467397,0.01753457,0.5955607,0.0505451,0.2571276],"study_design_scores_gemma":[0.0001909981,0.0001788409,0.0006788673,0.0002590946,0.0001456657,0.0008669341,0.0001216658,0.3799846,0.03402442,0.2060696,0.3772827,0.0001966201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00177385,0.0002107962,0.9628543,0.000121531,0.00004774676,0.00008422883,0.0001923387,0.03037243,0.004342695],"genre_scores_gemma":[0.05342983,0.0007801682,0.919872,0.0002689258,0.0001200071,0.0005099836,0.001526288,0.01108984,0.01240287],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007060676,"threshold_uncertainty_score":0.02362031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018874300754776,"score_gpt":0.314278276326417,"score_spread":0.2840895333188693,"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."}}