{"id":"W2104613753","doi":"10.1109/icsm.2007.4362641","title":"Release Pattern Discovery: A Case Study of Database Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Documentation; Database; Behavioral pattern; Data mining; Software engineering; 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":[0.0007917734,0.00009015087,0.0001280735,0.0001715292,0.00003612547,0.0001071212,0.00054754,0.00002087217,0.000002987256],"category_scores_gemma":[0.0002025196,0.00007459955,0.00002148959,0.0004462139,0.00001479203,0.0004995315,0.0003966981,0.0001132691,0.00001528882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003604669,"about_ca_system_score_gemma":0.00003358186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007420706,"about_ca_topic_score_gemma":0.0003031145,"domain_scores_codex":[0.9987386,0.00004124924,0.0002335826,0.0002863746,0.0004354842,0.0002646986],"domain_scores_gemma":[0.9981384,0.0006455278,0.00003681399,0.0009885612,0.00007089772,0.000119753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004421591,0.004864332,0.7644462,0.000524928,0.0002532752,0.1492501,0.01146048,0.004906801,0.001921855,0.004623712,0.005212308,0.0524918],"study_design_scores_gemma":[0.01290765,0.00664933,0.1906947,0.0004695368,0.00009996912,0.02895988,0.05090404,0.6905255,0.01345914,0.00004665617,0.001909712,0.003373987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5135327,0.00003385691,0.4860018,0.000005914286,0.0001354923,0.0001673647,0.00000209497,0.00009195316,0.00002874799],"genre_scores_gemma":[0.9983932,8.249887e-7,0.001318503,0.00001039199,0.00003591369,0.000009416267,8.714703e-7,0.000008745465,0.0002220983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6856186,"threshold_uncertainty_score":0.999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975206551354794,"score_gpt":0.3004338942369674,"score_spread":0.2706818287234194,"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."}}