{"id":"W3130726859","doi":"10.1007/s11219-020-09538-7","title":"An empirical study on the effect of community smells on bug prediction","year":2021,"lang":"en","type":"article","venue":"Software Quality Journal","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Empirical research; Computer science; Computer security; Business; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006454652,0.0003716752,0.0003120405,0.001069732,0.0004827425,0.0009233381,0.0005903091,0.0008582911,0.003344893],"category_scores_gemma":[0.08800022,0.0002803967,0.0006576731,0.0008991281,0.0009467238,0.001577815,0.000798857,0.001608612,0.0004291314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345203,"about_ca_system_score_gemma":0.0004597573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461155,"about_ca_topic_score_gemma":0.007716923,"domain_scores_codex":[0.9967567,0.001945596,0.0002517055,0.0004443709,0.0004337396,0.0001679719],"domain_scores_gemma":[0.5752053,0.3768865,0.03068963,0.008402575,0.005007769,0.003808181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002818125,0.0003229881,0.9942964,0.00001454916,0.00008752869,0.00005837962,0.0001724036,0.0003402304,0.000355249,0.00005485493,0.00006843617,0.003947202],"study_design_scores_gemma":[0.00001790415,0.0005340247,0.9919068,0.00001043504,0.00007096791,0.0001565583,0.0003589905,0.006339224,0.0003126352,0.0001584035,0.000122837,0.00001115464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992614,0.00006196595,0.0002506493,0.00006030982,0.000001976052,0.000003880199,0.00006623194,0.000005624805,0.0002879384],"genre_scores_gemma":[0.9994879,0.00002770104,0.0002273972,0.00001483366,0.000003827286,0.000003287414,0.00007902052,0.00000426615,0.0001518015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006454652,"threshold_uncertainty_score":0.03413582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04319073875896441,"score_gpt":0.3805174876703231,"score_spread":0.3373267489113587,"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."}}