{"id":"W2145890718","doi":"10.1145/1985793.1985867","title":"Understanding broadcast based peer review on open source software projects","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Code review; Computer science; Process (computing); Interview; Open source software; Empirical research; Software peer review; Software development; Software; Software technical review; World Wide Web; Software engineering; Data science; Knowledge management; Software development process; Software quality; Software construction; Political science","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.07070141,0.0005749037,0.0007236631,0.006674054,0.00751557,0.01174533,0.003163966,0.005046937,0.002664039],"category_scores_gemma":[0.2669478,0.001183515,0.0004885512,0.003286391,0.01057343,0.01548109,0.00834404,0.003579791,0.0006883498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143109,"about_ca_system_score_gemma":0.008350876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268618,"about_ca_topic_score_gemma":0.01299429,"domain_scores_codex":[0.8567646,0.1101164,0.004968735,0.006009809,0.01973134,0.002409116],"domain_scores_gemma":[0.486554,0.4164356,0.04422716,0.01260726,0.03517551,0.005000444],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009738067,0.00009632209,0.01773501,0.0006045596,0.00004873096,0.001941933,0.898506,0.0007982622,0.002411456,0.02468274,0.003589795,0.04948776],"study_design_scores_gemma":[0.00009279379,0.0004339899,0.07159226,0.002068811,0.0001242309,0.00255767,0.6521623,0.01747453,0.002582089,0.06894432,0.1816293,0.0003377247],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724114,0.004341657,0.1056883,0.02971583,0.0004356063,0.000990359,0.0001808643,0.000338758,0.08589717],"genre_scores_gemma":[0.9831663,0.001038019,0.01100439,0.0007217621,0.0001838245,0.0002659003,0.00009956494,0.0001079115,0.003412393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9882547,"threshold_uncertainty_score":0.3739093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3224517914427747,"score_gpt":0.3380713667061482,"score_spread":0.01561957526337343,"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."}}