{"id":"W6987901681","doi":"","title":"Valero Energy Reports 2017 Fourth Quarter and Full Year Results","year":2018,"lang":"en","type":"other","venue":"","topic":"Urban Arborization and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Quarter (Canadian coin); Energy consumption; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002185498,0.001082479,0.0006925744,0.004791998,0.001635823,0.006070253,0.001786424,0.001960722,0.4125438],"category_scores_gemma":[0.004496492,0.0005966767,0.001152141,0.003842078,0.0005727332,0.00169035,0.001929785,0.002005475,0.3176102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003455749,"about_ca_system_score_gemma":0.007588498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06280235,"about_ca_topic_score_gemma":0.107293,"domain_scores_codex":[0.997541,0.0001185535,0.0000812706,0.0001345207,0.001790045,0.0003347085],"domain_scores_gemma":[0.996707,0.0002472188,0.0001072395,0.000431861,0.00204898,0.0004576005],"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":[0.00008886436,0.0000817669,0.0005472817,0.00009422431,0.000006524128,0.00002150103,0.00001863277,0.0001254664,0.0001568309,0.001640172,0.9813209,0.01589786],"study_design_scores_gemma":[0.0000305449,0.00001966819,0.005468304,0.0001010639,0.000007002677,0.00001446471,0.00008496192,0.0001078974,0.0005556164,0.0007818927,0.9928189,0.000009620375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002832497,0.0009757114,0.0007834232,0.003647131,0.003987909,0.0003498046,0.1129373,0.001942915,0.8725432],"genre_scores_gemma":[0.003009086,0.0006379802,0.0003460842,0.0003811636,0.0002323024,0.0001241846,0.03300669,0.0005571223,0.9617055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4125438,"threshold_uncertainty_score":0.8379349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008184725427268098,"score_gpt":0.1884895393114355,"score_spread":0.1803048138841674,"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."}}