{"id":"W2884390033","doi":"10.1145/3196398.3196436","title":"Large-scale analysis of the co-commit patterns of the active developers in github's top repositories","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Commit; Computer science; Reputation; World Wide Web; Ranking (information retrieval); Scale (ratio); Data science; Database; Information retrieval","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":[0.002124296,0.0005749185,0.0004986573,0.00992082,0.001010667,0.001393009,0.001066989,0.0006247712,0.0006658254],"category_scores_gemma":[0.0185133,0.0003988804,0.0005293773,0.00993632,0.0009001298,0.002133097,0.002263828,0.0009902088,0.0005159284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593259,"about_ca_system_score_gemma":0.0008230508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410187,"about_ca_topic_score_gemma":0.02538092,"domain_scores_codex":[0.9973052,0.0005502331,0.000155363,0.0005473196,0.00103719,0.000404726],"domain_scores_gemma":[0.9739043,0.009026269,0.005723117,0.003649415,0.005533971,0.002163004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003933796,0.0004213587,0.8803577,0.0004506899,0.0004494452,0.001574675,0.00689699,0.01189552,0.009346236,0.001855188,0.01397557,0.0723833],"study_design_scores_gemma":[0.00002457353,0.0001301698,0.9477544,0.00004866362,0.00008611355,0.0007018935,0.002880707,0.03710962,0.003778728,0.0009269891,0.006494086,0.00006418222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994837,0.0003120618,0.001507494,0.0001319683,0.00001275649,0.00003627989,0.001861351,0.0004253895,0.0008755617],"genre_scores_gemma":[0.9855601,0.0002296317,0.003840679,0.00003271457,0.00002682449,0.00008432738,0.008786914,0.0001813367,0.001257538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410187,"threshold_uncertainty_score":0.02803957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070948553551865,"score_gpt":0.2694372833267673,"score_spread":0.2587277977912486,"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."}}