{"id":"W2340064961","doi":"10.2118/179990-ms","title":"Mexico's Initiatives to Increase Oil Production and its Effect on North America Oil Production Outlook","year":2016,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Production (economics); Legislation; Upstream (networking); Context (archaeology); Petroleum industry; Business; Government (linguistics); Investment (military); Natural resource economics; Oil production; Environmental planning; Environmental science; Engineering; Economics; Petroleum engineering; Geography; Environmental engineering; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002582458,0.0002010478,0.000194671,0.0001892189,0.0000584094,0.00002357409,0.00006467743,0.00004804508,0.00003449141],"category_scores_gemma":[0.001285064,0.0001384761,0.0000320818,0.0002777787,0.00001701682,0.0003021268,0.00002167809,0.00009771151,0.00009874683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000632828,"about_ca_system_score_gemma":0.000007241862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000728441,"about_ca_topic_score_gemma":0.000007027714,"domain_scores_codex":[0.9990053,0.0001082061,0.000178656,0.0003198081,0.0001749182,0.0002131523],"domain_scores_gemma":[0.9993669,0.0001577534,0.00002220236,0.0002466267,0.0000629559,0.0001435447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009791588,0.00002783556,0.001560891,0.0002199386,0.00005275859,0.000002289774,0.0003402627,0.6494738,0.02862834,0.0000299925,0.0006390375,0.318927],"study_design_scores_gemma":[0.002212537,0.001598757,0.04556787,0.001010434,0.0001062211,0.00003269908,0.00009741349,0.087547,0.8235683,0.0000522576,0.03604172,0.002164754],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888958,0.00008907631,0.005043852,0.0005811814,0.0005736896,0.0001010195,0.000005277138,0.000609879,0.004100186],"genre_scores_gemma":[0.9922671,0.000190653,0.002632334,0.00003417196,0.0002894213,0.00007708953,0.000004568553,0.0000409084,0.004463766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.79494,"threshold_uncertainty_score":0.5646891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289192186058554,"score_gpt":0.2581478171122304,"score_spread":0.2452558952516449,"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."}}