{"id":"W6976379262","doi":"10.6068/dp15df30ff81347","title":"Trend 1998 - 2014. Energy Information Administration. International Energy Statistics: Biofuels | Country: Canada | Category: Consumption | Series: Fuel Ethanol Consumption | Units: Barrels Per Day, 1998-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-001.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Consumption (sociology); Energy policy; Production (economics); Renewable energy; Biofuel; Agency (philosophy); Administration (probate law); Environmental impact of the energy industry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380935,0.001976105,0.002064273,0.005986939,0.001660923,0.003782993,0.003743135,0.001240417,0.05773932],"category_scores_gemma":[0.01121574,0.001301099,0.001431816,0.02949022,0.0005422607,0.002561424,0.00168003,0.003041484,0.0542235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01530404,"about_ca_system_score_gemma":0.0327838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9116483,"about_ca_topic_score_gemma":0.887535,"domain_scores_codex":[0.9978816,0.0001348608,0.0002131125,0.000315322,0.001035962,0.0004190432],"domain_scores_gemma":[0.9842143,0.0007029881,0.0006494618,0.0007820285,0.01305721,0.0005939851],"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":[0.00002580894,0.00000894975,0.0006821512,0.0002021802,0.0000175339,0.000004989055,0.000010542,0.0001218242,0.00001506465,0.0003281505,0.9973745,0.001208362],"study_design_scores_gemma":[0.0001137253,0.000009272073,0.01273366,0.0004432927,0.00003460165,0.00001316002,0.0001951675,0.0003337685,0.0002357337,0.0006251521,0.98522,0.0000425148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003505006,0.00002086122,0.00001380804,0.00004280611,0.00001727107,0.000006357217,0.9994048,0.00004018962,0.000418813],"genre_scores_gemma":[0.0002257979,0.00006391156,0.0001070003,0.00002850383,0.000006609121,0.00003569233,0.9986212,0.00003469692,0.000876484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08835167,"threshold_uncertainty_score":0.1931573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227620104256473,"score_gpt":0.2738291713411906,"score_spread":0.2415529702986258,"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."}}