{"id":"W4377043798","doi":"10.1111/oet.8_12995","title":"Oil Demand and Stocks","year":2023,"lang":"en","type":"article","venue":"Oil and Energy Trends","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Diesel fuel; Petroleum; Economy; Environmental protection; Economics; Engineering; Archaeology","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":[0.0003829479,0.0003687531,0.0002766934,0.002543379,0.0002516053,0.001496617,0.0003869018,0.0003935938,0.03233717],"category_scores_gemma":[0.003148198,0.0001744936,0.0002762843,0.005769421,0.0001172309,0.001243206,0.0003871126,0.0005846987,0.01148687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154317,"about_ca_system_score_gemma":0.0009829192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05343928,"about_ca_topic_score_gemma":0.04682671,"domain_scores_codex":[0.9993504,0.00004343072,0.00007635156,0.00008070294,0.0003646377,0.00008449743],"domain_scores_gemma":[0.9980014,0.0002462679,0.0005997683,0.00007927039,0.0009130085,0.0001603205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004614769,0.0002153386,0.469457,0.0008837911,0.0002530839,0.0003187017,0.0006453654,0.004035179,0.000762868,0.01650943,0.3821624,0.1242953],"study_design_scores_gemma":[0.00002492619,0.0001006909,0.5544634,0.0002595947,0.00006574037,0.0003710801,0.001132175,0.001678431,0.0007173124,0.003067167,0.4380553,0.0000641646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1342515,0.004003961,0.0007890465,0.002254231,0.0002104855,0.0001055017,0.6909897,0.0002304509,0.167165],"genre_scores_gemma":[0.3408132,0.005774738,0.0007703881,0.0005840861,0.0002221208,0.0001499823,0.5459415,0.00008810413,0.1056558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05343928,"threshold_uncertainty_score":0.1081786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368631402955612,"score_gpt":0.2603727553432343,"score_spread":0.2466864413136782,"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."}}