{"id":"W4398430422","doi":"10.7910/dvn/fie0s4/gk7pwz","title":"Electricity_FGE.tab","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electricity; Environmental science; Chemistry; Engineering; Electrical engineering","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":["insufficient_payload"],"category_scores_codex":[0.0002332688,0.0004992806,0.0004635247,0.0006201275,0.00008526028,0.00008416748,0.0009161658,0.0006555025,0.01115895],"category_scores_gemma":[0.0001690939,0.0004682522,0.0001558629,0.0004210817,0.00005267738,0.0002974762,0.0001501154,0.0008546253,0.1165368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788406,"about_ca_system_score_gemma":0.00005533804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009535508,"about_ca_topic_score_gemma":0.00006301492,"domain_scores_codex":[0.9981257,0.00006184442,0.0003934231,0.0004255857,0.0003822221,0.0006112191],"domain_scores_gemma":[0.9980321,0.00011169,0.00009715738,0.001543539,0.00006224349,0.0001532684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009184999,0.000018321,2.908995e-7,0.0001171502,0.00009160579,0.00003762652,0.000001905163,0.000005314065,0.0008145209,0.000009421921,0.9963188,0.002575817],"study_design_scores_gemma":[0.0002008218,0.00006136897,0.000001229242,0.0000822198,0.00007846785,0.00003993859,9.930114e-7,0.00006927656,0.0107007,0.0001111695,0.9880705,0.0005833598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006369962,0.000005899637,0.00281664,0.000002168123,0.0007821472,0.000309451,0.9935184,0.00173701,0.000821908],"genre_scores_gemma":[0.0000233275,0.003026773,0.0001742759,0.0001315825,0.0007061463,0.00007521436,0.9952733,0.00008959983,0.0004997606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1053778,"threshold_uncertainty_score":0.9997769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00671935051446518,"score_gpt":0.2060729317272905,"score_spread":0.1993535812128253,"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."}}