{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006679974,0.0005587818,0.0005597139,0.003773382,0.002409122,0.001535403,0.002187603,0.00229811,0.0005456881],"category_scores_gemma":[0.03605139,0.000729697,0.0009566507,0.004089439,0.001392947,0.002195274,0.001608142,0.001610633,0.0001907671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017831,"about_ca_system_score_gemma":0.001041217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111014,"about_ca_topic_score_gemma":0.02137211,"domain_scores_codex":[0.9909616,0.003933188,0.0008860238,0.001183242,0.002466183,0.0005697164],"domain_scores_gemma":[0.9195638,0.06107631,0.006578666,0.006282096,0.004882718,0.001616354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000816935,0.004286998,0.6633651,0.001585409,0.000514496,0.03938939,0.07517806,0.01322845,0.02154912,0.005069849,0.005921556,0.1690947],"study_design_scores_gemma":[0.0005705441,0.002860916,0.6976331,0.0004680385,0.0004941775,0.04652991,0.06180714,0.1095878,0.03780558,0.007122242,0.03475532,0.0003653011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909006,0.0002393619,0.007128678,0.0004563381,0.00000921616,0.0001502889,0.0003032025,0.00008626202,0.0007260224],"genre_scores_gemma":[0.9592181,0.0003955863,0.03774386,0.0001689764,0.00002681519,0.0001534168,0.0009085691,0.00008520289,0.001299496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111014,"threshold_uncertainty_score":0.03532749,"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."}}