{"id":"W2160607234","doi":"10.1109/cacwd.2004.1349274","title":"The translator generation in the general intensional programming complier","year":2004,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Compiler; Programming language; Computer science; Component (thermodynamics); Programming paradigm; Fifth-generation programming language; Second-generation programming language","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":[0.0008480815,0.00009223865,0.00008061139,0.00003417551,0.0002598485,0.000447461,0.000726229,0.00003525754,0.000002194584],"category_scores_gemma":[0.00001826502,0.00004528588,0.00005001441,0.000276487,0.00004022089,0.0002964489,0.0000461883,0.0001334545,0.00003605367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928391,"about_ca_system_score_gemma":0.00007184703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013641,"about_ca_topic_score_gemma":0.0003384958,"domain_scores_codex":[0.9988545,0.0001032537,0.0002479779,0.0002241633,0.0003287178,0.000241363],"domain_scores_gemma":[0.999418,0.00006321388,0.00004148418,0.0003857981,0.00005959822,0.00003188866],"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":[0.000004377614,0.00007218763,0.0003302413,0.000005593261,0.0000160481,0.00002442409,0.004376963,0.01774956,0.01121623,0.8785577,0.000600399,0.08704623],"study_design_scores_gemma":[0.001625359,0.0001594587,0.008610737,0.00004882112,0.000008195801,0.0004301355,0.000706595,0.9420905,0.006796941,0.01115203,0.02782634,0.0005448441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2413451,0.000186506,0.7437176,0.01215297,0.0004338822,0.0005079838,1.771807e-7,0.00008698675,0.001568842],"genre_scores_gemma":[0.8828421,0.000002442774,0.1162567,0.0005884652,0.0001878495,0.00004051036,0.000001602666,0.000004893184,0.00007542326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.924341,"threshold_uncertainty_score":0.4314876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362978056730014,"score_gpt":0.2722693506337631,"score_spread":0.238639570066463,"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."}}