{"id":"W2945826489","doi":"10.1007/s10664-019-09788-5","title":"MSRBot: Using bots to answer questions from software repositories","year":2020,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Software; Process (computing); Software development; Work (physics); Code (set theory); Software analytics; Team software process; Source code; Software peer review; Verification and validation","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":[0.004060645,0.001219173,0.0007901976,0.003911489,0.001175085,0.001409188,0.001483636,0.002428914,0.005617522],"category_scores_gemma":[0.03231308,0.0005253039,0.0005248169,0.001457935,0.0007297025,0.004845444,0.003626405,0.001419828,0.00413536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008751879,"about_ca_system_score_gemma":0.001382994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004872044,"about_ca_topic_score_gemma":0.01051893,"domain_scores_codex":[0.9946234,0.002596437,0.0003350834,0.0007430606,0.001436593,0.0002654813],"domain_scores_gemma":[0.9725859,0.02038971,0.001535617,0.002804934,0.001826438,0.0008573316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003001214,0.002534155,0.08138831,0.003900137,0.0005810689,0.00193207,0.01481579,0.01028958,0.04333743,0.02022993,0.1829832,0.635007],"study_design_scores_gemma":[0.0007987978,0.002322043,0.0508546,0.0008243645,0.0003858568,0.001536536,0.01203908,0.5880781,0.0373174,0.105805,0.1996531,0.0003851582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4282305,0.001586853,0.3915045,0.005229121,0.001067267,0.002322056,0.01798343,0.1240376,0.02803863],"genre_scores_gemma":[0.6853954,0.000481928,0.2735113,0.002111048,0.0002120434,0.001435193,0.01736276,0.002553575,0.01693685],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005617522,"threshold_uncertainty_score":0.02147496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104006454653197,"score_gpt":0.2962368985798328,"score_spread":0.2551968340333008,"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."}}