{"id":"W6958034554","doi":"10.6068/dp15df2a00a4c73","title":"Trend 1980 - 2014. Energy Information Administration. International Energy Statistics: Petroleum | Country: Canada | Category: Consumption | Series: Consumption of Distillate Fuel Oil | Units: Barrels Per Day, 1980-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-006.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Energy consumption; Consumption (sociology); Energy policy; Energy (signal processing); Production (economics); Energy security; Administration (probate law); Agency (philosophy)","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":[0.0003396316,0.0007059508,0.0007472443,0.0002168903,0.0002682662,0.0006151574,0.004615849,0.0004207696,0.001306363],"category_scores_gemma":[0.0000508122,0.0007159703,0.000001586075,0.00006168785,0.0004729837,0.002202625,0.001156958,0.0004568823,0.0004150743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867761,"about_ca_system_score_gemma":0.001236098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7667538,"about_ca_topic_score_gemma":0.7254968,"domain_scores_codex":[0.9956977,0.0002909051,0.001151478,0.001184921,0.001113919,0.0005610483],"domain_scores_gemma":[0.9924312,0.0005946769,0.00213256,0.004379495,0.0001064583,0.0003556653],"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":[0.00007496998,0.00004215805,0.00001602389,0.0002438871,0.000153488,0.00003749908,0.000002966111,0.0001020491,0.000006007191,0.102129,0.894385,0.002807002],"study_design_scores_gemma":[0.0005404744,0.00007613702,0.00002062695,0.00004021905,0.0001234098,0.0001661802,0.00001099288,0.02422922,3.241075e-7,0.0000122796,0.9740907,0.0006894547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.956525e-7,0.0009916577,0.0195055,0.00002352407,0.001231342,0.0001841619,0.9746235,0.000164198,0.003275936],"genre_scores_gemma":[0.0003979917,0.009493004,0.001642445,0.0002150207,0.0002912838,0.00006962696,0.9856093,0.0000967052,0.002184632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1021167,"threshold_uncertainty_score":0.9996065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359269687241593,"score_gpt":0.2624497771546176,"score_spread":0.2388570802822017,"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."}}