{"id":"W1996994400","doi":"10.2118/69848-ms","title":"Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela","year":2001,"lang":"en","type":"article","venue":"","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Artificial lift; Petroleum engineering; Oil production; Completion (oil and gas wells); Lift (data mining); Environmental science; Drilling; Petroleum; Production (economics); Oil field; Emerging technologies; Gas lift; Instrumentation (computer programming); Crude oil; Engineering; Marine engineering; Geology; Mechanical engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003049658,0.0001661047,0.0001200687,0.0005854233,0.000711151,0.0004815978,0.0002697365,0.0001598583,0.001265364],"category_scores_gemma":[0.0003332359,0.00008498746,0.00008188145,0.0004257612,0.0002809072,0.0002628651,0.0003448039,0.0002261511,0.00006293011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597459,"about_ca_system_score_gemma":0.0008712768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08749268,"about_ca_topic_score_gemma":0.1342176,"domain_scores_codex":[0.9998717,0.00002000254,0.000004913853,0.00002866642,0.00002425863,0.00005043637],"domain_scores_gemma":[0.9998772,0.00002949841,0.00002724146,0.00001078235,0.0000371782,0.00001799089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001816665,0.0006051364,0.2654188,0.0009523135,0.00005881607,0.004009286,0.003644308,0.005765914,0.4518626,0.00572767,0.0009620533,0.2591765],"study_design_scores_gemma":[0.0001277418,0.0009719549,0.929429,0.0001466636,0.00006925542,0.00072231,0.003649866,0.003368688,0.03188729,0.0007641217,0.02882826,0.0000348711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919292,0.0009726427,0.0006775961,0.0001058287,0.00001059047,0.00003537061,0.00008155441,0.00001965709,0.006167491],"genre_scores_gemma":[0.9972344,0.0004022408,0.001180304,0.000009553871,0.000003287402,0.00001156465,0.00006335048,0.000002148146,0.001093226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08749268,"threshold_uncertainty_score":0.1739668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009178736732059685,"score_gpt":0.2386551367939312,"score_spread":0.2294764000618715,"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."}}