{"id":"W2382996298","doi":"","title":"Study on the Selection Method of UML Model","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unified Modeling Language; Computer science; Applications of UML; UML tool; Object Constraint Language; Selection (genetic algorithm); Software engineering; Data mining; Programming language; Artificial intelligence; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01059982,0.0008746198,0.0005370468,0.003333056,0.001032352,0.002160361,0.001387353,0.0007732877,0.003951573],"category_scores_gemma":[0.02542394,0.0005889022,0.0009072134,0.002006334,0.0006062121,0.004803943,0.0007830074,0.001196706,0.0008428764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189478,"about_ca_system_score_gemma":0.002109057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198332,"about_ca_topic_score_gemma":0.002581063,"domain_scores_codex":[0.9880645,0.005516449,0.0006461633,0.001141193,0.004391156,0.0002404902],"domain_scores_gemma":[0.9862553,0.007761071,0.0006892079,0.00104584,0.00404467,0.0002040079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001949166,0.0001479652,0.008998733,0.0008029119,0.0001207322,0.0003855666,0.00329405,0.007859144,0.01443741,0.1924414,0.008085347,0.7632318],"study_design_scores_gemma":[0.0003220187,0.0004520123,0.007113473,0.001596472,0.0005462198,0.003846023,0.002949951,0.4254543,0.06490679,0.0970714,0.3954111,0.0003302665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01112701,0.001522556,0.9797776,0.0006195125,0.0001113733,0.0001604562,0.00004874521,0.0006409524,0.005991839],"genre_scores_gemma":[0.1949019,0.003245196,0.7913502,0.0002468223,0.0002504768,0.000417462,0.0006065134,0.0008289882,0.008152363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01059982,"threshold_uncertainty_score":0.05605787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379503478451001,"score_gpt":0.3583879622665875,"score_spread":0.3245929274820775,"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."}}