{"id":"W1044064071","doi":"","title":"Analysis of China's Oil Products Market","year":2001,"lang":"en","type":"article","venue":"中国油气：英文版","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Economic shortage; Market rate; China; Factor market; Quarter (Canadian coin); Supply and demand; Market price; Falling (accident); Chinese market; Slow growth; Agricultural economics; Market economy; Monetary economics; Macroeconomics; Microeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001674157,0.0001269017,0.0003170823,0.0004478787,0.00003217583,0.00001945349,0.0001600165,0.00006002858,0.001085899],"category_scores_gemma":[0.00004556083,0.0001121716,0.0001773228,0.002424133,0.00002481282,0.0001026178,0.00002120215,0.00009169377,0.00004213576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691511,"about_ca_system_score_gemma":0.0000110762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001320434,"about_ca_topic_score_gemma":0.0004340722,"domain_scores_codex":[0.9991318,0.00003146411,0.0002651949,0.0001751522,0.0002098117,0.0001865651],"domain_scores_gemma":[0.999422,0.00001470701,0.00004018925,0.0003990023,0.00005299364,0.00007112818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006223338,0.0002711203,0.03881068,0.000294463,0.008704826,0.00005917036,0.004875589,0.8754592,0.01464148,0.0001791618,0.02478986,0.03185223],"study_design_scores_gemma":[0.0003168322,0.00002181928,0.02526524,0.00001756459,0.001269049,0.000002685004,0.0003311703,0.9123634,0.003716436,0.0000204493,0.056327,0.0003483764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901371,0.0006178782,0.001120956,0.0004535585,0.0001639022,0.00004192821,0.00001243217,0.000241916,0.1072103],"genre_scores_gemma":[0.9919738,0.000683337,0.0001592558,0.000024406,0.00007294007,0.000008518019,0.00004412275,0.00001931393,0.00701435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018366,"threshold_uncertainty_score":0.9998273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796504686120946,"score_gpt":0.2088989852925899,"score_spread":0.2009339384313804,"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."}}