{"id":"W3022206766","doi":"","title":"Detection of feature interaction in dynamic scripting languages.","year":2019,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Toronto Metropolitan University","funders":"","keywords":"Computer science; Scripting language; Feature (linguistics); Programming language; Artificial intelligence; Natural language processing; Linguistics","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":[0.001372291,0.0004694159,0.0005501995,0.001575804,0.000605341,0.001262258,0.001277381,0.00111148,0.002079376],"category_scores_gemma":[0.008655443,0.0004688167,0.0005068806,0.0009356336,0.0006332009,0.001608041,0.001618644,0.001150143,0.0007425885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004916778,"about_ca_system_score_gemma":0.0007442108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557283,"about_ca_topic_score_gemma":0.00177874,"domain_scores_codex":[0.9972109,0.0004936798,0.0002035715,0.0005780978,0.001174433,0.0003393644],"domain_scores_gemma":[0.9908571,0.004266413,0.001441781,0.001515075,0.001415878,0.0005037532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001830065,0.0007256718,0.1178474,0.000738756,0.0001871381,0.003180481,0.003114469,0.01160034,0.4440868,0.02018795,0.01349162,0.3830093],"study_design_scores_gemma":[0.0001021555,0.0008758942,0.06852911,0.0001458288,0.000150574,0.004157946,0.0009181931,0.5922586,0.2810608,0.0177537,0.03391375,0.0001335095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695727,0.0007138032,0.3038663,0.0002789815,0.000115789,0.0002759633,0.001308357,0.01608921,0.007778869],"genre_scores_gemma":[0.9179281,0.00008443728,0.07689118,0.00008558583,0.00002682264,0.0001153269,0.001565796,0.0007004481,0.002602286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002079376,"threshold_uncertainty_score":0.007257462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0457467654419358,"score_gpt":0.389139453639318,"score_spread":0.3433926881973822,"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."}}