{"id":"W7081910122","doi":"10.46690/ager.2025.09.03","title":"Pressure diagnostics in hydraulic fracturing for unconventional completion optimization","year":2025,"lang":"en","type":"article","venue":"ADVANCES IN GEO-ENERGY RESEARCH","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Hydraulic fracturing; Fracture (geology); Workflow; Coalbed methane; Unconventional oil; Well stimulation; Completion (oil and gas wells); Volume (thermodynamics)","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":[0.0008850772,0.00009209543,0.0001388019,0.0002973805,0.0001498161,0.00007031742,0.0006102212,0.00009405686,0.00002375542],"category_scores_gemma":[0.0009350795,0.00009609084,0.00003096626,0.0008916319,0.00007758389,0.0004747885,0.0003030991,0.0002482917,0.000001369454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006115906,"about_ca_system_score_gemma":0.0000925719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000760948,"about_ca_topic_score_gemma":0.0001533417,"domain_scores_codex":[0.9985086,0.0001437485,0.0002487411,0.0004094919,0.0002887814,0.0004006465],"domain_scores_gemma":[0.9983255,0.00104975,0.0000447269,0.000288758,0.0002575418,0.00003373534],"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":[0.00001869678,0.00007716587,0.004960906,0.0001048605,0.000004796415,0.000006281199,0.00004652868,0.8320832,0.00003205819,0.1511125,0.000420083,0.01113296],"study_design_scores_gemma":[0.0004265964,0.00002983445,0.002282174,0.0001425265,0.000001093797,0.000001152941,0.00003359643,0.5901479,0.0008209163,0.1111292,0.2948936,0.00009143819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005587262,0.004625379,0.9627659,0.004031535,0.0002849297,0.0002431206,0.000003150335,0.00004180037,0.02744548],"genre_scores_gemma":[0.9694655,0.001604102,0.02442136,0.0001753123,0.00008937949,0.0003528643,0.000054335,0.000002981084,0.003834195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9689068,"threshold_uncertainty_score":0.3918471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596814516035971,"score_gpt":0.3485109366604972,"score_spread":0.3225427915001374,"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."}}