{"id":"W7126713011","doi":"","title":"U.S. Energy and Employment Report - 2018","year":2016,"lang":"en","type":"report","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Workforce; Energy (signal processing); Distribution (mathematics); Electric energy; Energy sector; Power (physics); Electric power","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.000782052,0.000855789,0.001093199,0.001931293,0.0003193933,0.0000789708,0.0008013645,0.0007936935,0.001079511],"category_scores_gemma":[0.0001216465,0.0008576451,0.0004194505,0.000940188,0.000474887,0.000378856,0.001143546,0.000431055,0.001150855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689005,"about_ca_system_score_gemma":0.00162156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643423,"about_ca_topic_score_gemma":0.004868132,"domain_scores_codex":[0.9958894,0.0002353264,0.0006473203,0.001703252,0.0006605449,0.0008641888],"domain_scores_gemma":[0.9953867,0.0001688179,0.001190299,0.002118531,0.0005268707,0.0006087915],"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":[0.0001198879,0.0002666856,0.01972996,0.0000835084,0.0009201922,0.02093335,0.0000308923,0.00001725757,0.0001158328,0.00377563,0.9503247,0.00368216],"study_design_scores_gemma":[0.000708021,0.00009892461,0.003608371,0.00025706,0.0004927096,0.001792973,0.00002690303,0.00001393258,0.00008719054,0.0007306843,0.9911314,0.001051782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01004861,0.0008081465,0.0007975955,0.00009125664,0.002033598,0.0003483923,0.001091112,0.0007031297,0.9840782],"genre_scores_gemma":[0.1191432,0.004376621,0.00009675058,0.00003405912,0.0007842662,0.000003301459,0.0005587004,0.000410191,0.8745929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1094853,"threshold_uncertainty_score":0.9998336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0562388416516244,"score_gpt":0.2284912673813582,"score_spread":0.1722524257297338,"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."}}