{"id":"W2953354616","doi":"10.1007/s10596-019-9822-4","title":"A pattern-matching method for flow model calibration under training image constraint","year":2019,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Energi Simulation","keywords":"Regularization (linguistics); Algorithm; Computer science; Mathematics; Mathematical optimization; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005306222,0.0001146396,0.0001426111,0.0001002138,0.000084283,0.0001150799,0.0001345912,0.00004321552,0.00003276511],"category_scores_gemma":[0.00003387588,0.0001106343,0.00006013925,0.0001492258,0.00002979028,0.0003151138,0.00001367938,0.00007984859,0.000006072777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002836829,"about_ca_system_score_gemma":0.00005886827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000490316,"about_ca_topic_score_gemma":9.956423e-7,"domain_scores_codex":[0.9991361,0.00002990647,0.000210904,0.0001982613,0.0002263794,0.0001984715],"domain_scores_gemma":[0.9992556,0.0005214394,0.00002857799,0.00007916523,0.00005480114,0.00006042334],"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":[0.000001247055,0.000003309683,0.0000288935,0.00003382766,0.000007545835,1.591273e-7,0.0006501822,0.9897658,0.000931841,0.001978279,0.00002787685,0.006571074],"study_design_scores_gemma":[0.0002490229,0.00001333797,0.0002183822,0.00001695888,0.000003524794,0.000003131341,0.0002389185,0.9663332,0.00009036438,0.03265458,0.00003738603,0.0001412558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0979162,0.00002105209,0.9008712,0.0001088992,0.0003158514,0.0001760174,0.00002834806,0.0001773172,0.0003851501],"genre_scores_gemma":[0.4825435,5.535484e-7,0.5172878,0.00005399197,0.0000296842,0.00001180915,0.00002226748,0.000009315065,0.00004110135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3846273,"threshold_uncertainty_score":0.4511535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03779736136496668,"score_gpt":0.3161591267524454,"score_spread":0.2783617653874787,"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."}}