{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000331618,0.0002457928,0.00022701,0.003416928,0.0005781703,0.001338449,0.0003783902,0.0002923585,0.007684477],"category_scores_gemma":[0.0008145432,0.0001295758,0.0005128923,0.003034964,0.0002506853,0.001006504,0.000375828,0.000298351,0.0005822906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003144982,"about_ca_system_score_gemma":0.002602139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1380849,"about_ca_topic_score_gemma":0.1226026,"domain_scores_codex":[0.9997159,0.00001285435,0.00001031717,0.00002901486,0.0001438119,0.00008804464],"domain_scores_gemma":[0.9995479,0.00007552533,0.00007532242,0.0000130023,0.0002146569,0.00007364603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001107586,0.0002910732,0.6584372,0.0006740068,0.0002498005,0.004284119,0.003080559,0.04042053,0.01074002,0.08463222,0.04376095,0.1523219],"study_design_scores_gemma":[0.00003580102,0.0001637079,0.8852394,0.00003731162,0.00007439859,0.0002528974,0.001950235,0.07472525,0.002321252,0.002909459,0.03223112,0.0000590882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553582,0.00052217,0.0004402092,0.000433611,0.00001501299,0.00004803768,0.003400497,0.00004430443,0.03973791],"genre_scores_gemma":[0.9873545,0.0004343381,0.0001919906,0.00004360462,0.00001623397,0.00001986018,0.002865963,0.000007545725,0.009066017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380849,"threshold_uncertainty_score":0.2745622,"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."}}