{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184803,0.0001604701,0.0001947567,0.0001419666,0.0001419181,0.0003481868,0.002280482,0.00004811794,0.0003321028],"category_scores_gemma":[0.001945094,0.0001306323,0.00005536207,0.0006453761,0.00003573807,0.0004270685,0.0007065532,0.000219953,0.000313717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902338,"about_ca_system_score_gemma":0.0002223069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009791818,"about_ca_topic_score_gemma":0.000004285252,"domain_scores_codex":[0.9980596,0.00007112392,0.0001717537,0.000470128,0.0008310684,0.0003963051],"domain_scores_gemma":[0.9982383,0.0004674944,0.00003983562,0.0009324347,0.0001706157,0.0001513651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007987078,0.000862142,0.02434396,0.003408339,0.0001409993,0.00035516,0.004553178,0.0005740174,0.00006224427,0.08298226,0.7527248,0.129913],"study_design_scores_gemma":[0.01007308,0.005615569,0.04081345,0.03109447,0.0001309117,0.0003285533,0.0006778386,0.1375547,0.01873384,0.01204153,0.7344885,0.008447514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001018996,0.0002143872,0.9885117,0.001296829,0.0001411848,0.0006579013,9.511677e-7,0.0006904483,0.00838473],"genre_scores_gemma":[0.2991112,0.0001157328,0.6658046,0.008331553,0.0000951617,0.0002749422,0.00001165052,0.0001218407,0.02613336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3227071,"threshold_uncertainty_score":0.5327032,"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."}}