{"id":"W2385483600","doi":"10.1145/2884781.2884839","title":"Cross-project defect prediction using a connectivity-based unsupervised classifier","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Homogeneity (statistics); Classifier (UML); Computer science; Reuse; Machine learning; Artificial intelligence; Metric (unit); Data mining; Engineering","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":[0.001132183,0.0008024444,0.001089536,0.004305594,0.0004873714,0.0008806113,0.001453773,0.001206893,0.0006216093],"category_scores_gemma":[0.005167913,0.0002503686,0.0007522621,0.00226128,0.0003254855,0.001354365,0.0009652007,0.0007581785,0.000600551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004879361,"about_ca_system_score_gemma":0.0007975579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792206,"about_ca_topic_score_gemma":0.006382905,"domain_scores_codex":[0.9988803,0.0001527904,0.00008753355,0.0003836914,0.0003525475,0.0001430527],"domain_scores_gemma":[0.9957124,0.001522198,0.0006901973,0.000497346,0.001330459,0.0002473797],"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":[0.0005302012,0.001175442,0.1869404,0.000149579,0.0003702483,0.0006653686,0.0002617039,0.2359559,0.01072046,0.001830499,0.008243275,0.553157],"study_design_scores_gemma":[0.0000110126,0.0001026476,0.01523049,0.00001163509,0.00004153471,0.0001453217,0.00003785253,0.9815524,0.001303992,0.001021465,0.0005269746,0.00001471818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5791715,0.0003720894,0.4141143,0.0002311882,0.00008052947,0.0001862523,0.001104065,0.002033142,0.002706915],"genre_scores_gemma":[0.9423076,0.0001315099,0.05372822,0.00003885339,0.00006974049,0.0001320488,0.002193239,0.00006022766,0.001338548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004792206,"threshold_uncertainty_score":0.009528637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05826272584185882,"score_gpt":0.3199587132953625,"score_spread":0.2616959874535036,"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."}}