{"id":"W2043132313","doi":"10.1145/1062455.1062615","title":"MSR 2005 international workshop on mining software repositories","year":2005,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software; Software engineering; World Wide Web; Data science; Operating system","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":[0.0001008659,0.00007758374,0.00005926554,0.00005442768,0.0001200618,0.000280509,0.0007909898,0.00003116778,0.00006689467],"category_scores_gemma":[0.00005559461,0.00006843299,0.00002707574,0.0001330129,0.00001805005,0.0004723819,0.000193234,0.0000689254,0.0001924233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003753116,"about_ca_system_score_gemma":0.00002709934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006561437,"about_ca_topic_score_gemma":0.0000112008,"domain_scores_codex":[0.999207,0.000007158108,0.0001445409,0.000283901,0.000201369,0.0001560731],"domain_scores_gemma":[0.9993008,0.0001004923,0.00004535943,0.0004472872,0.00004368449,0.00006238552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001535293,0.00007516217,0.0002348535,7.78566e-7,0.00001340139,0.000003253224,0.0003458032,0.0002177989,0.00004259183,0.05142516,0.112595,0.8350446],"study_design_scores_gemma":[0.000160461,0.00001714211,0.001095764,0.00002949158,0.000002551248,0.00002066044,0.0001085666,0.08719036,0.001381183,0.0002692963,0.9095275,0.0001969648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001698553,0.00003569705,0.9636351,0.01204272,0.0006350112,0.00005159894,0.000006538628,0.0003791066,0.02151571],"genre_scores_gemma":[0.02035886,0.00001141265,0.9609401,0.001043455,0.000718646,0.0000261807,0.00001724975,0.000006842527,0.01687721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8348477,"threshold_uncertainty_score":0.2790616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865358661549979,"score_gpt":0.2750145172078947,"score_spread":0.2563609305923948,"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."}}