{"id":"W3006410912","doi":"10.33322/energi.v11i2.765","title":"Pengembangan kWh Meter Elektronik untuk Pengecekan CT Konsumen Secara On Site","year":2019,"lang":"en","type":"article","venue":"Energi & Kelistrikan","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Positive Living North","funders":"","keywords":"Procurement; Duration (music); Metre; Revenue; Computer science; Business; Marketing; Finance","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001421637,0.0003253568,0.0003039232,0.0003180013,0.00007336722,0.0000495219,0.000323815,0.0001239468,0.0003347844],"category_scores_gemma":[0.00002815362,0.0003372967,0.000102156,0.0005206682,0.00003296854,0.0001235933,0.00004892775,0.0005872276,0.001053059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416491,"about_ca_system_score_gemma":0.00001943685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003977298,"about_ca_topic_score_gemma":0.00003022137,"domain_scores_codex":[0.9986435,0.00001860923,0.0002944305,0.0003323321,0.0002107006,0.0005004533],"domain_scores_gemma":[0.9990224,0.00006962595,0.0000385856,0.0007402286,0.00004250639,0.00008665122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005731701,0.0003834818,0.01850403,0.0005895824,0.001405415,0.0002616493,0.0006625872,0.4364719,0.183815,0.2373233,0.06719634,0.05332947],"study_design_scores_gemma":[0.002659884,0.0005101264,0.01523912,0.0002515657,0.000156503,0.000105378,0.0001987131,0.0283343,0.1463889,0.000881841,0.8029533,0.002320344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717802,0.000373526,0.0004391858,0.0002151905,0.001004484,0.0001727053,0.00004736436,0.001695082,0.02427221],"genre_scores_gemma":[0.9968221,0.00006398386,0.0007088421,0.00007655189,0.0001764899,0.00004398528,0.0001430264,0.00009176353,0.001873271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7357569,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004157169754226721,"score_gpt":0.1805275149692972,"score_spread":0.1763703452150704,"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."}}