{"id":"W2265282683","doi":"10.5539/mas.v10n1p47","title":"Analysis of the Data Using a Semantic Network as a Tool for Management Non-Conformities in Quality Management System","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Network management; Semantic network; Network management application; Quality (philosophy); Nonconformity; Data mining; Network management station; Operations management; Network architecture; Artificial intelligence; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000901227,0.000105691,0.0002082784,0.000109723,0.00008684198,0.00002833768,0.0005960529,0.00001665498,4.312381e-7],"category_scores_gemma":[0.000002963498,0.00008502919,0.0000338297,0.0007866119,0.00009841961,0.00008689769,0.0004870506,0.00003934588,0.000001554088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196609,"about_ca_system_score_gemma":0.000005908206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004529809,"about_ca_topic_score_gemma":0.00002822802,"domain_scores_codex":[0.9989321,0.000004119856,0.0002358762,0.0002294776,0.0003310231,0.0002673631],"domain_scores_gemma":[0.9993196,0.00001455542,0.00003598531,0.0005927087,0.000006514455,0.00003064137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004924692,0.000008044539,0.0007188273,0.0002568029,0.0001657849,5.683675e-7,0.0004652532,0.9929829,0.0004396044,0.001705925,0.00002014478,0.003231248],"study_design_scores_gemma":[0.0001839729,0.00000265379,0.01918604,0.00004526808,0.0001595577,2.645976e-7,0.001192273,0.9788025,0.0001016997,0.0001532426,0.0000626074,0.0001098937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3536802,0.0001190972,0.6291199,0.000007114665,0.0001824924,0.0006294473,0.00001662284,0.0000674175,0.01617777],"genre_scores_gemma":[0.9942374,0.00001031596,0.005629727,0.00001007197,0.00001052206,0.0000506197,0.000003268208,0.000008342762,0.00003974358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6405572,"threshold_uncertainty_score":0.346739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449337650535016,"score_gpt":0.2618050060591927,"score_spread":0.2168712410056911,"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."}}