{"id":"W4416335398","doi":"10.18280/isi.300919","title":"Movement Controlled Aquila Optimizer with Smart Initialization for Energy Aware WSN Deployment","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Initialization; Energy (signal processing); Key (lock); Movement (music); Energy consumption","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":[0.0002003786,0.0006650115,0.000398067,0.0002552051,0.000262539,0.0003751774,0.0006609273,0.0002362178,0.003524157],"category_scores_gemma":[0.0004103381,0.0001862581,0.0001733897,0.0001485572,0.0002033382,0.0003273667,0.0004493184,0.0003578566,0.0004407018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643963,"about_ca_system_score_gemma":0.0004686199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652161,"about_ca_topic_score_gemma":0.006597065,"domain_scores_codex":[0.9998987,0.00002138723,0.00000423671,0.00002552932,0.00002395279,0.0000261553],"domain_scores_gemma":[0.9999002,0.00002929092,0.00001818749,0.00001571704,0.00002372017,0.00001280839],"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":[0.001100714,0.000329348,0.002654208,0.0001890357,0.0001039803,0.0002243234,0.0001205953,0.6891266,0.04660552,0.004478607,0.01411545,0.2409516],"study_design_scores_gemma":[0.00004329509,0.0001137184,0.0007828641,0.000005384028,0.00001195904,0.00002749034,0.00001517359,0.9924732,0.004602375,0.0004125331,0.001504537,0.000007545683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2691148,0.0009434675,0.6885374,0.0004800253,0.0002760039,0.0001705396,0.0002757166,0.01580676,0.02439518],"genre_scores_gemma":[0.9393858,0.00007267903,0.05551394,0.00008459201,0.00001765584,0.00009357125,0.0001293504,0.0002767836,0.00442558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003524157,"threshold_uncertainty_score":0.0117895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00987265819902846,"score_gpt":0.2244938307320209,"score_spread":0.2146211725329925,"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."}}