{"id":"W2116799040","doi":"10.1109/msr.2013.6624023","title":"Intensive metrics for the study of the evolution of open source projects: Case studies from Apache Software Foundation projects","year":2013,"lang":"en","type":"article","venue":"","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Metric (unit); Software versioning; Computer science; Popularity; Foundation (evidence); Software; Open source software; World Wide Web; Open source; Software engineering; Software metric; Software evolution; Empirical research; Order (exchange); Software development; Database; Data science; Engineering; Operating system; Business; Software quality; Software construction; Operations management; Mathematics; History; Statistics","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":[0.0008062072,0.0001639113,0.0002976397,0.0001853942,0.0004623418,0.0002704623,0.002046129,0.0000490269,0.000008488834],"category_scores_gemma":[0.005913597,0.00008694383,0.00007031633,0.002661086,0.0001550523,0.001073922,0.002033814,0.0001367694,0.000006388503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00019487,"about_ca_system_score_gemma":0.0002580469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586986,"about_ca_topic_score_gemma":0.001275385,"domain_scores_codex":[0.9982557,0.0001969297,0.0005522918,0.0003945573,0.0004076249,0.00019285],"domain_scores_gemma":[0.9915848,0.002334385,0.0005968912,0.001192213,0.004270223,0.0000214984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001156281,0.003567559,0.215762,0.0003285108,0.003740628,0.00001449387,0.4303831,0.00270449,0.001090324,0.03199124,0.0371652,0.2731369],"study_design_scores_gemma":[0.003811758,0.001777689,0.03600865,0.0001786371,0.0004399345,0.000104233,0.8669662,0.07167426,0.003167152,0.01428167,0.0009015301,0.0006883075],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4338715,0.00006947232,0.5585235,0.0008227879,0.000265445,0.006336747,0.000007116987,0.00006202229,0.00004136984],"genre_scores_gemma":[0.952963,0.000001399876,0.0456175,0.0002019264,0.00003147998,0.0008085182,0.000002185825,0.00001380737,0.0003602084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5190915,"threshold_uncertainty_score":0.9906836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09875144585990901,"score_gpt":0.3393880309252217,"score_spread":0.2406365850653127,"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."}}