{"id":"W4417498978","doi":"10.64771/ijesat.2025.047","title":"SMART NETWORKING APPROACH FOR AUTOMATED INCIDENT MANAGEMENT","year":2025,"lang":"","type":"article","venue":"International journal of engineering science and advanced technology.","topic":"Wireless Sensor Networks for Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Santé et de Services Sociaux Cavendish","funders":"","keywords":"Incident management; Automation; Key (lock); Window (computing); Work (physics)","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":[0.0009330462,0.000589665,0.0004385841,0.001246013,0.000664884,0.001354356,0.001260101,0.0006569407,0.002429736],"category_scores_gemma":[0.001375677,0.0002437791,0.0003685197,0.0006150933,0.000434564,0.001905914,0.001476862,0.0007809652,0.0007862141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578314,"about_ca_system_score_gemma":0.001011458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358986,"about_ca_topic_score_gemma":0.002106528,"domain_scores_codex":[0.9992674,0.0001576259,0.00005281147,0.0001950246,0.0002529192,0.00007424734],"domain_scores_gemma":[0.9992588,0.0002097933,0.0001312282,0.0001794589,0.0001668196,0.00005387646],"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":[0.0002308995,0.0004303088,0.005580032,0.0002744074,0.000130135,0.0004696056,0.0005022938,0.1888518,0.03142564,0.1068466,0.02120699,0.6440513],"study_design_scores_gemma":[0.00001867177,0.00009128564,0.00100278,0.00004177018,0.00004136165,0.0002551446,0.0001633771,0.9068625,0.008647859,0.045169,0.03767029,0.00003600533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01100697,0.0003603903,0.9744846,0.0006854174,0.0001854938,0.0001905417,0.0001491837,0.002616798,0.01032065],"genre_scores_gemma":[0.4888811,0.0007865057,0.5009513,0.0006365789,0.0002264684,0.0003335091,0.0005992934,0.0001516306,0.007433563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002429736,"threshold_uncertainty_score":0.008128226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005379224723689161,"score_gpt":0.2559885266712927,"score_spread":0.2506093019476035,"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."}}