{"id":"W3158243978","doi":"","title":"Technical Losses in Non-Rural Distribution Feeders of Nawabshah Substation - Analysis & Estimation","year":2020,"lang":"en","type":"article","venue":"","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Electric power distribution; Electricity; Estimation; Distribution (mathematics); Environmental science; Engineering; Reliability engineering; Electrical engineering; Mathematics; Voltage","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":[0.0002401986,0.0004096395,0.0002407661,0.001868798,0.0002037509,0.0005493216,0.0003116163,0.0002280187,0.001465975],"category_scores_gemma":[0.0005378143,0.0001541902,0.0002483255,0.00148923,0.0001689711,0.0006381831,0.0002408913,0.0002071775,0.0004014301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678799,"about_ca_system_score_gemma":0.0001765306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006526249,"about_ca_topic_score_gemma":0.008353412,"domain_scores_codex":[0.9997277,0.00003509507,0.00001892457,0.00003664145,0.0001509562,0.0000306785],"domain_scores_gemma":[0.9994705,0.0001449646,0.0001601513,0.00004174414,0.0001625977,0.00002006008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003754515,0.0002643617,0.5614819,0.0003515408,0.0001508583,0.00157097,0.0007084733,0.2046138,0.02330475,0.001149421,0.0021973,0.2038311],"study_design_scores_gemma":[0.00001313978,0.0002715248,0.706862,0.00003931586,0.00006043515,0.001025877,0.0008508349,0.2730322,0.01360724,0.0008996516,0.00330147,0.00003632538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964787,0.0001834056,0.0297319,0.00003690339,0.000006058866,0.00006175943,0.001101585,0.0001632469,0.003928112],"genre_scores_gemma":[0.9943516,0.0001484501,0.003132245,0.00000475329,0.000003182273,0.00001924058,0.0005631792,0.00001146011,0.00176586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006526249,"threshold_uncertainty_score":0.01297653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006213958164341793,"score_gpt":0.2266616469549558,"score_spread":0.220447688790614,"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."}}