{"id":"W1809458414","doi":"10.3968/6973","title":"Heilongjiang Petroleum & Petrochemical Service Outsourcing Industry Cluster Construction","year":2015,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petrochemical; Outsourcing; Service (business); Petroleum industry; Petroleum; Downstream (manufacturing); Business; Upstream (networking); Knowledge process outsourcing; Industrial organization; Engineering; Business cluster; Marketing; Waste management; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002699559,0.0003500629,0.0001414018,0.001007782,0.001497572,0.0008230284,0.0004290019,0.0001871029,0.01135278],"category_scores_gemma":[0.0003516559,0.0001657727,0.0001983086,0.002237278,0.0003362923,0.0003387446,0.001359375,0.0003144134,0.001176339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002450471,"about_ca_system_score_gemma":0.009016099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04914851,"about_ca_topic_score_gemma":0.05085252,"domain_scores_codex":[0.9996835,0.00002851799,0.00001692012,0.00004163391,0.0001058666,0.0001236124],"domain_scores_gemma":[0.9996859,0.0000125703,0.00002769989,0.00002482493,0.0001420745,0.0001070054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008746377,0.0004739721,0.1793531,0.00113437,0.00006578132,0.00361343,0.005514833,0.03624944,0.03780262,0.08690763,0.09818165,0.5498286],"study_design_scores_gemma":[0.0002685055,0.0005365107,0.3400954,0.0003064804,0.0001257099,0.002063295,0.0135867,0.07358232,0.03225405,0.01319654,0.5238346,0.0001498742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8324816,0.0005477777,0.04957572,0.001270791,0.0001667201,0.002673399,0.00389163,0.000531875,0.1088605],"genre_scores_gemma":[0.8987463,0.0007513918,0.03462664,0.00009591329,0.00002327783,0.001023916,0.004102983,0.00005583182,0.06057391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04914851,"threshold_uncertainty_score":0.09772485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233110828686739,"score_gpt":0.2897441848778741,"score_spread":0.2574130765910067,"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."}}