{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00631306,0.001360933,0.002723832,0.01023476,0.0009746565,0.005211157,0.003392784,0.001787105,0.0195962],"category_scores_gemma":[0.01517074,0.0008602959,0.001956694,0.006912838,0.0006053039,0.007068342,0.002745809,0.001586876,0.01295287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008496337,"about_ca_system_score_gemma":0.002563931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847411,"about_ca_topic_score_gemma":0.003590781,"domain_scores_codex":[0.9963028,0.0008350671,0.0004650391,0.0005937754,0.001608489,0.0001947212],"domain_scores_gemma":[0.9887293,0.00367424,0.0008028676,0.003010781,0.003016155,0.0007665972],"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":[0.0002668987,0.0003690007,0.004888882,0.0007791652,0.0002041905,0.0002188865,0.0002874072,0.002841181,0.008835731,0.006628695,0.1240826,0.8505973],"study_design_scores_gemma":[0.0002806832,0.001451995,0.0193836,0.0017636,0.00105254,0.003108427,0.001177642,0.1668617,0.07538409,0.06430447,0.6650254,0.0002057722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08301345,0.01761701,0.7826237,0.01123251,0.003033324,0.001528413,0.02045502,0.04236406,0.03813247],"genre_scores_gemma":[0.1162645,0.008165701,0.7171715,0.001457265,0.001051177,0.0008261211,0.06093263,0.003143779,0.09098744],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0195962,"threshold_uncertainty_score":0.06555581,"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."}}