{"id":"W3014896915","doi":"10.3991/ijes.v8i1.13037","title":"Getting Model of MVVM Pattern from UML Profile","year":2020,"lang":"en","type":"article","venue":"International Journal of Recent Contributions from Engineering Science & IT (iJES)","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Computer science; Unified Modeling Language; Software engineering; Architecture; Web application; Unit testing; Set (abstract data type); Code (set theory); Perspective (graphical); Component (thermodynamics); Adaptation (eye); World Wide Web; Programming language; Artificial intelligence; Software","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":[0.001367423,0.0009100917,0.0004483282,0.002826572,0.0005807583,0.002273499,0.001317944,0.001265028,0.005464662],"category_scores_gemma":[0.005393472,0.0006491363,0.001339555,0.001291426,0.0005712822,0.002664348,0.001307067,0.001322724,0.003611594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243696,"about_ca_system_score_gemma":0.002528545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01413151,"about_ca_topic_score_gemma":0.01144999,"domain_scores_codex":[0.9979741,0.0003443028,0.0002677324,0.0003201136,0.0009393932,0.0001544094],"domain_scores_gemma":[0.9985301,0.0003231395,0.0001900483,0.0003773282,0.0005061389,0.00007315441],"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":[0.0004160362,0.0003487769,0.01569154,0.001721663,0.00008719926,0.004643074,0.006992087,0.03080175,0.0451818,0.2672152,0.1028594,0.5240414],"study_design_scores_gemma":[0.0000935468,0.0001508578,0.004368525,0.0006911401,0.00009430316,0.003791609,0.001092799,0.1643817,0.03273112,0.06050999,0.7319397,0.0001547416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01450024,0.0003878582,0.9325356,0.001156907,0.0002478153,0.0007295834,0.005845592,0.02241981,0.0221766],"genre_scores_gemma":[0.1752137,0.001418684,0.7541159,0.000686978,0.0001417514,0.001453606,0.02794525,0.005817926,0.03320621],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01413151,"threshold_uncertainty_score":0.02809852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329050321874943,"score_gpt":0.2502180720975564,"score_spread":0.236927568878807,"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."}}