{"id":"W4402668659","doi":"10.2118/220995-ms","title":"A Hybrid Tabular-Spatial-Temporal Model with 3D Geo-Model for Production Prediction in Shale Gas Formations","year":2024,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Shale gas; Production (economics); Geology; Production model; Oil shale; Computer science; Petroleum engineering; Paleontology","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":[0.0002980095,0.00013211,0.0001643823,0.0001402527,0.0001328664,0.00008865877,0.00006404814,0.00009208081,0.00008199857],"category_scores_gemma":[0.00004101191,0.00009772184,0.0000480279,0.0001692358,0.00008784031,0.0005586846,0.00001023708,0.0001894427,0.00001983902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008384421,"about_ca_system_score_gemma":0.0000700391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005920461,"about_ca_topic_score_gemma":0.005196391,"domain_scores_codex":[0.9989321,0.00002072092,0.0002570815,0.0003836663,0.0001762042,0.000230271],"domain_scores_gemma":[0.9996464,0.0000250537,0.00003640316,0.0001103096,0.000106737,0.00007506597],"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":[0.0003226554,0.0001301007,0.01190898,0.000243392,0.0000307132,0.00001438943,0.0007802728,0.8557129,0.0003180827,0.001768356,0.003772015,0.1249982],"study_design_scores_gemma":[0.0001382525,0.0002352832,0.001505072,0.0001118909,0.00003620655,0.00001556799,0.0001092089,0.9707394,0.00004305563,0.02680476,0.0001284517,0.0001328921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3474351,0.0001177974,0.6491866,0.001746426,0.00005149885,0.0003159173,0.0004626558,0.0001651434,0.0005188044],"genre_scores_gemma":[0.9929636,0.0001153785,0.005446162,0.00006227867,0.00009669677,0.00002770284,0.00102304,0.00000382152,0.0002613441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6455284,"threshold_uncertainty_score":0.3984981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765102396185636,"score_gpt":0.2380247209959171,"score_spread":0.2103736970340607,"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."}}