{"id":"W4413408454","doi":"10.11113/jurnalteknologi.v87.22870","title":"ANALYSIS OF NON-OPTIMAL PV SIZING AND PLACEMENT IN DISTRIBUTION NETWORKS WITH COMMERCIAL, INDUSTRIAL, AND RESIDENTIAL LOADS","year":2025,"lang":"en","type":"article","venue":"Jurnal Teknologi","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Universiti Teknologi Petronas; Sexually Transmitted Infection Research Foundation","keywords":"Sizing; Distribution (mathematics); Environmental science; Computer science; Reliability engineering; Architectural engineering; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001945058,0.00008449606,0.0002207785,0.0002247254,0.00005051497,0.00002662003,0.00009592406,0.00009401469,0.000004656075],"category_scores_gemma":[0.00002650343,0.00007530241,0.00002374007,0.0006779542,0.00006671403,0.00006401776,0.00008989048,0.0002433473,9.844396e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004538544,"about_ca_system_score_gemma":0.00001785545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006304614,"about_ca_topic_score_gemma":0.0003002304,"domain_scores_codex":[0.9994635,0.00003307941,0.0002328056,0.00009274694,0.00005320524,0.0001246872],"domain_scores_gemma":[0.9996439,0.00008716431,0.0000446452,0.0001748809,0.00002371585,0.00002571268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002233765,0.00009898646,0.5696631,0.00003165652,0.000926911,0.00001179189,0.0001485685,0.4113484,0.0006456174,0.0003158585,0.001758398,0.01482732],"study_design_scores_gemma":[0.001065288,0.00009513566,0.6892028,0.0001272028,0.0004105137,0.000002475956,0.0001615401,0.3074557,0.0005243901,0.000008257237,0.0008093003,0.0001373719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774142,0.001281925,0.02078495,0.0001373524,0.000046474,0.0000846601,0.0000136633,0.00002326362,0.0002135097],"genre_scores_gemma":[0.9986778,0.0009809664,0.0002611203,0.0000100028,0.00001414616,0.000007233092,0.00003292775,0.000003897148,0.00001192001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1195397,"threshold_uncertainty_score":0.3070743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326799481616158,"score_gpt":0.252902310647927,"score_spread":0.2396343158317654,"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."}}