{"id":"W4226424525","doi":"10.2139/ssrn.4074766","title":"Exploring Classification of Software Bug Reports Towards Mobile Applications","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Software bug; Software; Software engineering; Operating system","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":[0.002432409,0.0005825071,0.0004292267,0.009697979,0.0005916418,0.002142133,0.0009186688,0.0009752217,0.001041331],"category_scores_gemma":[0.03527877,0.0002449354,0.0007698063,0.004573189,0.0003722065,0.001901379,0.001140568,0.0009280638,0.0005748122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258301,"about_ca_system_score_gemma":0.0008768435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009039036,"about_ca_topic_score_gemma":0.01171446,"domain_scores_codex":[0.9967259,0.0006189542,0.0005477158,0.0005267095,0.001269486,0.0003111818],"domain_scores_gemma":[0.9482796,0.0262942,0.0142213,0.002192768,0.007726865,0.001285244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002957669,0.0002353908,0.9146798,0.0002512714,0.0001416686,0.0004393495,0.001417044,0.001430542,0.004230124,0.0004632937,0.001702609,0.07471307],"study_design_scores_gemma":[0.00003689946,0.0007679114,0.8996261,0.0002564126,0.0003610292,0.001856395,0.004704205,0.07799935,0.006123016,0.001750071,0.006443624,0.00007485324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919612,0.0004057575,0.004212464,0.0001789776,0.00003182124,0.0000732462,0.001537662,0.000432892,0.001166082],"genre_scores_gemma":[0.9887962,0.000181604,0.006426654,0.00005336261,0.00003080008,0.00003632468,0.003378088,0.00007467098,0.001022324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009697979,"threshold_uncertainty_score":0.01797289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358048947221751,"score_gpt":0.2591748910236004,"score_spread":0.2233699963014253,"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."}}