{"id":"W2116228345","doi":"10.1109/icsme.2014.107","title":"Reviewer Recommender of Pull-Requests in GitHub","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Recommender system; World Wide Web; Process (computing); Precision and recall; Information retrieval; Recall; Quality (philosophy); Software; Code (set theory); Crowds; Code review; Software development; Software quality; Computer security","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":[0.004318438,0.003002711,0.002083991,0.005348314,0.002037176,0.002979719,0.002312007,0.002321429,0.009909065],"category_scores_gemma":[0.02157251,0.00129351,0.001407137,0.003238213,0.000371993,0.003334279,0.002274735,0.001514034,0.01761455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101887,"about_ca_system_score_gemma":0.002757486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847025,"about_ca_topic_score_gemma":0.04330927,"domain_scores_codex":[0.9959122,0.001249496,0.0003050474,0.000881808,0.001364154,0.0002874213],"domain_scores_gemma":[0.9841489,0.004349247,0.0009485732,0.003782962,0.00534622,0.001424088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003604802,0.0009643699,0.04871118,0.002343288,0.0008205732,0.002484664,0.00215475,0.01468711,0.03152167,0.005195586,0.4504573,0.4370548],"study_design_scores_gemma":[0.0006367966,0.0008450648,0.02256072,0.0003036547,0.0006036843,0.001467816,0.001012191,0.6404495,0.04148768,0.008706192,0.2813501,0.0005765565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1957151,0.006210608,0.365609,0.004400298,0.002584123,0.003715457,0.02880006,0.3383017,0.0546638],"genre_scores_gemma":[0.3772763,0.001663333,0.50017,0.001558514,0.0007861033,0.001171462,0.04563459,0.01071,0.06102975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01847025,"threshold_uncertainty_score":0.03672552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409844039246137,"score_gpt":0.2869606255315675,"score_spread":0.2628621851391061,"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."}}