{"id":"W4398660834","doi":"10.7910/dvn/fie0s4/gkcnbh","title":"Electricity_BME.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; Business; 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":[0.0002248829,0.0004991181,0.000463096,0.0006201636,0.00008405091,0.00008426201,0.0009191253,0.0005748118,0.0108383],"category_scores_gemma":[0.0001570118,0.0004679514,0.0001523158,0.0004191803,0.00005337363,0.0002938995,0.0001561046,0.000758269,0.1155799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003850944,"about_ca_system_score_gemma":0.00005649414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009365895,"about_ca_topic_score_gemma":0.00006379913,"domain_scores_codex":[0.9981186,0.00005800475,0.0003951883,0.0004269971,0.000382549,0.0006186595],"domain_scores_gemma":[0.9980356,0.0001017114,0.00009773437,0.001548089,0.00006221534,0.0001546558],"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":[0.000009288701,0.00001825366,3.329351e-7,0.0001179591,0.00008921028,0.00003972383,0.00000187698,0.00000541665,0.0007568694,0.000008159154,0.9963971,0.002555812],"study_design_scores_gemma":[0.0002017102,0.0000581963,0.00000142261,0.00008105183,0.00007733684,0.00004156729,9.170448e-7,0.00006998431,0.01057811,0.0001233941,0.988182,0.00058431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006085268,0.000005905172,0.003322184,0.000002178381,0.0007783715,0.0003205231,0.9931409,0.001733131,0.0006906826],"genre_scores_gemma":[0.00002527565,0.002731254,0.0001897594,0.0001326914,0.0007101685,0.00008122117,0.9955913,0.00008966904,0.0004486029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1047416,"threshold_uncertainty_score":0.9997772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00679951373386547,"score_gpt":0.2057395465657307,"score_spread":0.1989400328318652,"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."}}