{"id":"W2953336937","doi":"10.1002/smr.2180","title":"Analysis of cluster center initialization of 2FA‐kprototypes analogy‐based software effort estimation","year":2019,"lang":"en","type":"article","venue":"Journal of Software Evolution and Process","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Initialization; Computer science; Unpacking; Cluster analysis; Cluster (spacecraft); Analogy; Fuzzy logic; Categorical variable; Software; Artificial intelligence; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006606041,0.0001267407,0.0004106282,0.001081946,0.00003843188,0.00003756877,0.0003828386,0.0001030342,0.00003181114],"category_scores_gemma":[0.0008338062,0.0001110255,0.0001437461,0.001536538,0.00005593369,0.0006908128,0.00005800441,0.0001614302,0.000001970123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006897465,"about_ca_system_score_gemma":0.0002313372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008485269,"about_ca_topic_score_gemma":0.000002855324,"domain_scores_codex":[0.9983388,0.00005871051,0.0006172416,0.0001862065,0.0006311311,0.0001679602],"domain_scores_gemma":[0.9975793,0.0003822216,0.0005869744,0.0002399743,0.001123633,0.00008785626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009238152,0.000106517,0.8763154,0.0005771506,0.0002345619,0.000002087371,0.0003703733,0.1171569,0.00008369944,0.0001299735,0.00004361185,0.004887357],"study_design_scores_gemma":[0.001515404,0.0005397929,0.6719095,0.0003997266,0.0002247051,0.00002915976,0.0000315041,0.3230134,0.001291227,0.0007575561,0.000072489,0.0002156198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2901378,0.0001792253,0.709282,0.00004435345,0.0001516966,0.0001568575,0.00001248362,0.00003130724,0.000004259587],"genre_scores_gemma":[0.9623828,0.00001051418,0.03750193,0.00003853558,0.00002532867,0.000004931941,0.00001563339,0.000009617777,0.00001073128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.672245,"threshold_uncertainty_score":0.4527489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00986538643137731,"score_gpt":0.2779272770131186,"score_spread":0.2680618905817413,"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."}}