{"id":"W1605449937","doi":"10.20381/ruor-14830","title":"Intelligent search techniques for large software systems.","year":2002,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Software; Software system; Data mining; Search-based software engineering; Information retrieval; Software engineering; Machine learning; Software construction; Artificial intelligence; 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":[0.0003584196,0.00007281468,0.0001156707,0.0001064979,0.0001044596,0.0002027846,0.0006605304,0.00003664654,0.00006730059],"category_scores_gemma":[0.00004492537,0.00005728957,0.00006571086,0.0002512287,0.000007965515,0.000210167,0.0001859246,0.00005195714,0.0001410088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001979384,"about_ca_system_score_gemma":0.000008281996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003943732,"about_ca_topic_score_gemma":0.000004204011,"domain_scores_codex":[0.9991634,0.00002645866,0.0001440276,0.0002616892,0.0001612013,0.0002432427],"domain_scores_gemma":[0.9992607,0.00008355423,0.00002275897,0.0004878194,0.00008330838,0.0000618766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002099142,0.0003270952,0.001616057,0.0001546641,0.000111379,0.00001529386,0.001104892,0.00005478012,0.0001841792,0.2328162,0.279946,0.4836673],"study_design_scores_gemma":[0.000100947,0.0001125461,0.00001911112,0.00004089305,0.00001126972,0.000009805544,0.0001569409,0.6807432,0.007511151,0.0002030533,0.310853,0.0002381176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001289402,0.0002083715,0.9970305,0.0003685385,0.00006576856,0.0001187184,0.00001573214,0.0004480009,0.001615419],"genre_scores_gemma":[0.4465642,0.00008039414,0.5340509,0.00040988,0.0001474791,0.0000935515,0.00001857268,0.00001428877,0.01862074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6806884,"threshold_uncertainty_score":0.2336201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528213065384729,"score_gpt":0.2906624495750862,"score_spread":0.2378411430366134,"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."}}