{"id":"W4398678094","doi":"10.7910/dvn/fie0s4/wjilsc","title":"Metering_DENTps18.pdf","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metering mode; Computer science; Environmental science; Geography; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009292053,0.002619167,0.001182658,0.00400058,0.0005743634,0.002600981,0.002289232,0.001898652,0.07849488],"category_scores_gemma":[0.005889175,0.0009757608,0.001264276,0.008391739,0.0004006264,0.002160997,0.001915634,0.001554787,0.1237405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150898,"about_ca_system_score_gemma":0.002107642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03023037,"about_ca_topic_score_gemma":0.03402354,"domain_scores_codex":[0.9989132,0.0001303457,0.0001738088,0.000295965,0.0002987079,0.0001880343],"domain_scores_gemma":[0.9975572,0.0004926043,0.0003208229,0.0007734306,0.0006569438,0.0001990248],"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":[0.00004039166,0.00001245774,0.0008603011,0.0003776462,0.00001827091,0.00001518448,0.00001275633,0.0003232185,0.00006695822,0.0003568988,0.9959162,0.001999883],"study_design_scores_gemma":[0.0002054632,0.00001766765,0.005793819,0.0002692613,0.00002575355,0.00005406168,0.00007139171,0.0006758239,0.0004519393,0.001101449,0.9912998,0.00003348443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007890783,0.00002714437,0.00004329285,0.00003972775,0.00001414338,0.000003744553,0.9989234,0.0003697287,0.0004997961],"genre_scores_gemma":[0.0003993674,0.00005383931,0.0001151311,0.00003277368,0.000005733468,0.00002400243,0.9987069,0.0000845402,0.0005776412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9215051,"threshold_uncertainty_score":0.2625915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009465101456237145,"score_gpt":0.1983138839509401,"score_spread":0.188848782494703,"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."}}