{"id":"W2125685892","doi":"10.1109/icsm.2004.1357822","title":"Evaluating similarity measures for software decompositions","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Dependency (UML); Cluster analysis; Similarity (geometry); Measure (data warehouse); Data mining; Dependency graph; Software; Similarity measure; Decomposition; Theoretical computer science; Graph; Artificial intelligence; Image (mathematics); Programming language","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":[0.008728411,0.0008185398,0.001605004,0.01635038,0.0009900253,0.00344597,0.001535729,0.001726761,0.0009811196],"category_scores_gemma":[0.06052173,0.000338759,0.0009732465,0.008952188,0.001553954,0.006118259,0.002538553,0.001226848,0.0003423858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869653,"about_ca_system_score_gemma":0.0007007712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320294,"about_ca_topic_score_gemma":0.001345716,"domain_scores_codex":[0.9885867,0.003120814,0.001472293,0.001685449,0.004748002,0.0003866898],"domain_scores_gemma":[0.9618014,0.02415426,0.004351726,0.003239018,0.005199051,0.001254529],"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":[0.001390363,0.0004999776,0.0926642,0.001354646,0.001036168,0.0004177167,0.002038751,0.1264159,0.01938417,0.06323237,0.006727771,0.6848379],"study_design_scores_gemma":[0.0001153391,0.001236341,0.05050032,0.0002017402,0.0002066717,0.0008737284,0.00172249,0.7664224,0.01142985,0.159074,0.008053586,0.0001635031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4688021,0.003633378,0.5211436,0.0004115329,0.0001742218,0.0003593161,0.001170493,0.0007123991,0.003593017],"genre_scores_gemma":[0.7803577,0.0005352088,0.2159414,0.00004923879,0.0001075774,0.0002554953,0.002110137,0.0001290576,0.0005142158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01635038,"threshold_uncertainty_score":0.04616082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0888671026905603,"score_gpt":0.3812133118091712,"score_spread":0.2923462091186109,"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."}}