{"id":"W4386104052","doi":"10.2118/0723-0086-jpt","title":"Analysis Reveals Depth of Vaca Muerta’s Potential","year":2023,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil shale; Geology; Petroleum; Maturity (psychological); Graben; Petroleum engineering; Cretaceous; Paleontology; Structural basin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003873919,0.0001345834,0.0006508958,0.003434579,0.00003427116,0.00001026143,0.0004422126,0.0002430676,0.00007635988],"category_scores_gemma":[0.0001000245,0.0001111307,0.0005022559,0.002545138,0.00006346666,0.00007096265,0.00005416165,0.000434773,0.00002747478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004864634,"about_ca_system_score_gemma":0.00002067295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001245666,"about_ca_topic_score_gemma":0.00002908251,"domain_scores_codex":[0.9986197,0.00002730285,0.0006656945,0.0001080421,0.0002962053,0.0002831015],"domain_scores_gemma":[0.9991972,0.00003965977,0.0002585341,0.0003111528,0.0001217082,0.00007170219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001117753,0.00002567049,0.01156336,0.00004420237,0.002677832,0.0001916791,0.00003522477,0.965377,0.01555833,0.00001741921,0.001841829,0.002656315],"study_design_scores_gemma":[0.00318941,0.0009687652,0.1586771,0.0002520442,0.00978577,0.0006915277,0.001949638,0.7231716,0.07471056,0.004458789,0.02094243,0.001202403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978206,0.0006843338,0.01899592,0.0009051554,0.00023787,0.0000184467,0.000004694123,0.0002249673,0.000722636],"genre_scores_gemma":[0.9985284,0.0004520281,0.0005403477,0.000007998547,0.00009701385,0.000001549289,0.000002971305,0.00002035528,0.0003493528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2422054,"threshold_uncertainty_score":0.4531778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00566233931310397,"score_gpt":0.2258444354515559,"score_spread":0.2201820961384519,"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."}}