{"id":"W1986845186","doi":"10.2118/160098-ms","title":"Technology and Equipment Design for Global Shale Markets","year":2012,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horsepower; Truck; Limiting; Engineering; Lease; Footprint; Hydraulic fracturing; Natural gas field; Population; Resource (disambiguation); Unit (ring theory); Natural gas; Mining engineering; Petroleum engineering; Business; Geology; Computer science; Mechanical engineering; Finance; Automotive engineering; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001321397,0.0007891061,0.00032727,0.001395833,0.0007969938,0.002983016,0.001048544,0.001482121,0.02472538],"category_scores_gemma":[0.001426851,0.0003183074,0.0007361798,0.001148514,0.0006904819,0.004127508,0.00203464,0.0008052771,0.003973662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918465,"about_ca_system_score_gemma":0.001418553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583433,"about_ca_topic_score_gemma":0.002885387,"domain_scores_codex":[0.9991758,0.0002015322,0.00003980044,0.000137065,0.0002748552,0.0001707903],"domain_scores_gemma":[0.9992335,0.0001614051,0.0001031387,0.0001156377,0.0003194511,0.00006679373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003516234,0.0002880349,0.01599804,0.0007454819,0.00005404959,0.001415765,0.0007372161,0.1095951,0.04223935,0.4362626,0.01054335,0.3817694],"study_design_scores_gemma":[0.0002177069,0.003638342,0.02820964,0.0008581544,0.0002733728,0.002717235,0.005960963,0.1662795,0.0494829,0.1511278,0.5910544,0.0001801319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2596875,0.002696883,0.2331234,0.002283588,0.0003034582,0.0007237255,0.0005085532,0.0009244151,0.4997485],"genre_scores_gemma":[0.8614286,0.001868124,0.08754619,0.0004198718,0.00008308511,0.0003868545,0.0005338933,0.0001796046,0.04755382],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02472538,"threshold_uncertainty_score":0.08271462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554475783797027,"score_gpt":0.2667937831595138,"score_spread":0.2412490253215435,"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."}}