{"id":"W3126368050","doi":"","title":"R3V3RS3: Querying for Syntactical Patterns of Conditional Compilation Usage","year":2009,"lang":"en","type":"article","venue":"VUBIR (Vrije Universiteit Brussel)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Natural language processing; Information retrieval","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":[0.0001447005,0.0001415437,0.0002179334,0.0001687611,0.0001897203,0.00002855917,0.0002979657,0.00006043423,0.0000402315],"category_scores_gemma":[0.0000379088,0.0001460506,0.00009965129,0.000209147,0.00003818053,0.001288355,0.00008043811,0.00008649176,0.00001167726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007196276,"about_ca_system_score_gemma":0.00005941769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003256295,"about_ca_topic_score_gemma":0.0000106487,"domain_scores_codex":[0.9989243,0.00004311643,0.0002314304,0.0003234576,0.0002382168,0.0002394569],"domain_scores_gemma":[0.9990322,0.0002123287,0.0001681444,0.000346712,0.0001480806,0.00009255663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004615324,0.00007789778,0.00118977,0.00004965472,0.00002629771,0.00002697941,0.0004426114,0.000406647,0.00533734,0.9853023,0.0005173647,0.006576949],"study_design_scores_gemma":[0.01121453,0.003483744,0.1824789,0.001156162,0.000272616,0.000402947,0.004063487,0.1571342,0.0667484,0.03554407,0.5339444,0.00355648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02819843,0.00003265536,0.9692661,0.0006063167,0.0001339303,0.0002325997,0.000334942,0.0001090406,0.001085966],"genre_scores_gemma":[0.9238462,0.000007988991,0.07542202,0.0002120654,0.00009019407,0.000001723082,0.0001863833,0.000007152325,0.0002262276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9497583,"threshold_uncertainty_score":0.5955771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013582532987215,"score_gpt":0.2447949848233004,"score_spread":0.2312124518360854,"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."}}