{"id":"W1802249127","doi":"10.1016/j.ifacol.2015.08.157","title":"Well Placement Optimization with Geological Uncertainty Reduction","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reduction (mathematics); Realization (probability); Computer science; Mathematical optimization; Representation (politics); Optimization problem; Plan (archaeology); Production (economics); Algorithm; Mathematics; Geology","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":[0.0002364724,0.0001659926,0.0001621617,0.00007025789,0.00003595611,0.0000271664,0.00008752439,0.00009744452,0.0001372458],"category_scores_gemma":[0.00004576713,0.0001320603,0.00003016464,0.0002093874,0.00002703672,0.0001142309,0.0000138844,0.0001578088,0.00002944008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200495,"about_ca_system_score_gemma":0.00002153659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001288644,"about_ca_topic_score_gemma":0.000002953438,"domain_scores_codex":[0.999164,0.00003936874,0.000177676,0.0001773015,0.0002267909,0.0002148321],"domain_scores_gemma":[0.9995255,0.00003140253,0.00002391158,0.0001867063,0.00008231952,0.0001501504],"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":[0.00005226645,0.0000193775,0.0001227114,0.00001518487,0.00002360978,0.000003962031,0.0001416885,0.9989827,0.0002222175,0.00003323187,0.00004326374,0.0003397487],"study_design_scores_gemma":[0.0008987963,0.0001187826,0.00007250413,0.00001569164,0.00001453047,0.00001740108,0.000239941,0.9961153,0.0002691219,0.0000123755,0.002039962,0.0001856453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4156796,0.0001833996,0.5781423,0.0002709657,0.0004118191,0.0001947865,0.000006109476,0.000673075,0.004437852],"genre_scores_gemma":[0.2289291,0.00004287536,0.7697502,0.00002269094,0.0002679302,0.00001811766,0.0001089289,0.00003368608,0.0008264926],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1916078,"threshold_uncertainty_score":0.5385262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566668333936791,"score_gpt":0.2592092352627665,"score_spread":0.2335425519233986,"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."}}