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\\nForecasting GDP, Oil Prices, and
\\nRelationships among GDP and
\\nEnergy Sources","year":2014,"lang":"en","type":"dissertation","venue":"White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression; Simple linear regression; Econometric model; Lag; Regression analysis; Linear regression; Production (economics); Real gross domestic product; Industrial production index","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":[],"category_scores_codex":[0.0006115264,0.0003803395,0.000835446,0.001137243,0.0007467438,0.00002481928,0.001146099,0.0004178222,0.004513278],"category_scores_gemma":[0.00004685622,0.000479741,0.0002957129,0.0008768602,0.001235951,0.0003008012,0.0004327166,0.0006952499,0.000003270938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003701817,"about_ca_system_score_gemma":0.0003053106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08041539,"about_ca_topic_score_gemma":0.06664494,"domain_scores_codex":[0.9979044,0.0003154581,0.0003468831,0.000574063,0.000523398,0.0003357876],"domain_scores_gemma":[0.9965033,0.0006902949,0.001394896,0.0005744715,0.0005791967,0.0002578662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00201562,0.001086583,0.5634151,0.00287471,0.001689091,0.00002127731,0.1032619,0.004835681,0.00189547,0.003572213,0.00227097,0.3130614],"study_design_scores_gemma":[0.003497337,0.0008096392,0.5632549,0.001125933,0.00131349,0.000001766814,0.4015381,0.01861593,0.0002246711,0.0003021533,0.008364161,0.0009519455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808588,0.0001794917,0.00088471,0.0004721052,0.00005999706,0.0002993871,0.0003350625,0.00002929045,0.01688114],"genre_scores_gemma":[0.9806498,0.0005154932,0.001558342,0.000006314111,0.00004601709,3.985232e-8,0.0008142447,0.00002021922,0.01638959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3121094,"threshold_uncertainty_score":0.9997655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539909537540653,"score_gpt":0.2022097407105797,"score_spread":0.1868106453351732,"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."}}