{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007762104,0.00005708365,0.0001242868,0.0001171208,0.000007127,0.0000200266,0.0005491865,0.00002874716,0.0000521533],"category_scores_gemma":[0.00200179,0.00004768278,0.00002440251,0.0003751451,0.00001193372,0.0001567515,0.0001583461,0.00009620126,0.0000661189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002352901,"about_ca_system_score_gemma":0.00001855129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004193494,"about_ca_topic_score_gemma":0.000009967111,"domain_scores_codex":[0.9992459,0.00005751711,0.0001648118,0.0001693165,0.0001853799,0.0001770964],"domain_scores_gemma":[0.998907,0.0004130625,0.00002028847,0.0004812604,0.0001320552,0.00004633621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003130009,0.0002132578,0.1427391,0.0003720579,0.00002097629,0.00001372619,0.0004715442,0.0005110036,0.0007152315,0.07798629,0.07184374,0.7051099],"study_design_scores_gemma":[0.001735444,0.0004958069,0.504381,0.0007222575,0.000004748693,0.00002778238,0.00001286157,0.156358,0.01682587,0.01521144,0.3031411,0.001083619],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01752087,0.000317799,0.9736993,0.001424696,0.0005874191,0.0001639506,1.990328e-7,0.0002089653,0.006076802],"genre_scores_gemma":[0.9276198,0.00005008192,0.07137638,0.0002691344,0.00004871426,0.00001291409,4.169794e-7,0.000008268654,0.0006142891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9100989,"threshold_uncertainty_score":0.2396474,"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."}}