{"id":"W575505350","doi":"","title":"CNOOC Maintains Strong Growth Momentum Both at Home and Worldwide","year":2013,"lang":"en","type":"article","venue":"中国油气：英文版","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Petroleum industry; Business; Geology; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.00005740081,0.0002264576,0.0002217971,0.000100533,0.00008085768,0.000051313,0.0001112158,0.00005223755,0.000295417],"category_scores_gemma":[0.00001422666,0.0002121589,0.00004588641,0.000118665,0.00003489799,0.000138023,0.0001540814,0.0001467427,0.0001545655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000966904,"about_ca_system_score_gemma":0.000003765632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261811,"about_ca_topic_score_gemma":0.000196438,"domain_scores_codex":[0.9990927,0.000007240242,0.0001749726,0.000190332,0.0001222633,0.0004125176],"domain_scores_gemma":[0.9996084,0.00004501675,0.00001600932,0.0001912338,0.00002171794,0.0001176164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004144587,0.0001772778,0.3215424,0.002022106,0.00172059,0.0001527593,0.008154335,0.01670807,0.01049456,0.03649094,0.5627173,0.03977823],"study_design_scores_gemma":[0.002717764,0.0003050275,0.6747179,0.0002341142,0.0001723744,0.00006175445,0.002040614,0.07610503,0.004990861,0.002591397,0.232978,0.003085107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693648,0.00124409,0.001332926,0.000313058,0.0004877564,0.0002686658,0.00001089839,0.0006152011,0.02636265],"genre_scores_gemma":[0.9942241,0.0003675233,0.0005391415,0.00004416572,0.0001833511,0.00006240926,0.00001063303,0.00005295358,0.004515701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531755,"threshold_uncertainty_score":0.8651588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00408798954439475,"score_gpt":0.1685868789112569,"score_spread":0.1644988893668622,"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."}}