{"id":"W2790006175","doi":"10.2118/189438-pa","title":"Mexican Unconventional Plays: Geoscience, Endowment, and Economic Considerations","year":2018,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Instituto Mexicano del Petróleo; Consejo Nacional de Ciencia y Tecnología; Curtin University of Technology","keywords":"Oil shale; Endowment; Drilling; Geology; Unconventional oil; Fossil fuel; Petroleum; Production (economics); Hydraulic fracturing; Petroleum engineering; Resource (disambiguation); Natural resource economics; Economics; Paleontology; Engineering","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":[0.0002113764,0.0001070154,0.00009590686,0.0007240194,0.0004136919,0.0008812635,0.0001536718,0.0001174547,0.003734127],"category_scores_gemma":[0.0007182939,0.0000615902,0.00008677998,0.0009094974,0.0004939606,0.0005361305,0.0003940131,0.0001435023,0.0000725302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008484421,"about_ca_system_score_gemma":0.0002680902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03187637,"about_ca_topic_score_gemma":0.09322561,"domain_scores_codex":[0.9999348,0.00001685093,0.000002300847,0.000009000588,0.00001316269,0.0000239963],"domain_scores_gemma":[0.9996008,0.0001085009,0.0001603907,0.00002013239,0.00005483108,0.0000553033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002910835,0.00008182327,0.9326688,0.00005055857,0.00006176474,0.0007802097,0.0008793475,0.006331326,0.001091466,0.03397506,0.001123019,0.02266551],"study_design_scores_gemma":[0.00000750835,0.00004968795,0.9780608,0.00003427274,0.00002529973,0.0002210896,0.003698657,0.00532533,0.000314308,0.00473525,0.007518576,0.000009089404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907606,0.0002139261,0.0002664131,0.0002888342,0.000001161831,0.000003652262,0.0002217765,0.000001873262,0.008241834],"genre_scores_gemma":[0.9988227,0.0001566216,0.0001462295,0.000008319986,0.000002865677,0.000002053336,0.00008731872,8.244086e-7,0.0007731065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03187637,"threshold_uncertainty_score":0.06338167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04671139357979871,"score_gpt":0.3155611540547754,"score_spread":0.2688497604749767,"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."}}