{"id":"W3127567487","doi":"10.1306/10262019042","title":"Predicting unconventional reservoir potential from wire-line logs: A correlation between compositional and geomechanical properties of the Duvernay shale play of western Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"AAPG Bulletin","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC; University of Calgary","funders":"","keywords":"Geology; Oil shale; Shale gas; Mining engineering; Geomechanics; Petroleum engineering; Hydraulic fracturing; Geochemistry; Petrology; Geotechnical engineering; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009737397,0.0001022781,0.0002140108,0.00003021367,0.00007057499,0.00001523829,0.0001040558,0.00007449768,0.0002303538],"category_scores_gemma":[0.00006127974,0.00008195568,0.00007477808,0.0001255089,0.00005107876,0.00003854798,0.00009135033,0.0001526606,0.000003128507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004521095,"about_ca_system_score_gemma":0.0001174149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1002667,"about_ca_topic_score_gemma":0.1620011,"domain_scores_codex":[0.9988731,0.00008001579,0.0003816682,0.0001483718,0.0004038524,0.000112992],"domain_scores_gemma":[0.9994857,0.00009772115,0.00009317313,0.0001546036,0.0001146034,0.00005415993],"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":[0.0000947012,0.0001405721,0.3677255,0.0002890093,0.001255446,0.00002907708,0.0009864511,0.5687495,0.05796488,0.0001871192,0.002421311,0.0001564951],"study_design_scores_gemma":[0.003128571,0.00009922564,0.2111006,0.001143739,0.0006615391,0.00004304812,0.00101633,0.6374367,0.1385264,0.0003817079,0.005762585,0.0006996109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99595,0.0002648261,0.001567081,0.001735151,0.0001494352,0.00007558454,0.0001135039,0.00001376128,0.0001306758],"genre_scores_gemma":[0.9991398,0.00001737068,0.00007959546,0.00004201993,0.0001045267,0.00000599643,0.0001757905,0.00001320523,0.0004216921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1566249,"threshold_uncertainty_score":0.9057247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009819104459355183,"score_gpt":0.1817190847194451,"score_spread":0.17189998026009,"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."}}