{"id":"W4407870762","doi":"10.5206/mt.v5i1.21835","title":"Meta-programming with Maple and C","year":2025,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Maple; Computer science; Programming language; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001429475,0.0001093297,0.0001768675,0.00008007542,0.0002447849,0.0002109548,0.0002663822,0.00003400092,0.00001860525],"category_scores_gemma":[0.000001530592,0.00008486196,0.00006648062,0.0004713555,0.00003550874,0.0001552716,0.00001291128,0.0001022263,0.000008806835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000127604,"about_ca_system_score_gemma":0.00004160084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001309458,"about_ca_topic_score_gemma":0.00008158872,"domain_scores_codex":[0.9992614,0.00003914672,0.0001332073,0.0002637895,0.0001112017,0.0001912183],"domain_scores_gemma":[0.999506,0.00006539668,0.00002739836,0.0003079944,0.00003962902,0.00005361097],"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":[0.00007339529,0.0008517634,0.001909417,0.0006862795,0.01005719,0.0001168194,0.005863127,0.03148064,0.0005838704,0.3431372,0.006641261,0.598599],"study_design_scores_gemma":[0.001511409,0.0002382154,0.002420588,0.0001008434,0.001314029,0.0001400142,0.0002980774,0.07744676,0.0007836407,0.003449805,0.9116042,0.0006924617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009127348,0.0003767946,0.994117,0.001441636,0.0001744312,0.0001303427,0.000006580677,0.0002566938,0.002583752],"genre_scores_gemma":[0.9572318,0.000005717804,0.0395579,0.0001216991,0.00001129398,0.00004327815,0.00000300947,0.000004368376,0.003021002],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.956319,"threshold_uncertainty_score":0.346057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494858422699479,"score_gpt":0.2339674928339503,"score_spread":0.2090189086069555,"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."}}