{"id":"W2004549148","doi":"10.2118/97669-ms","title":"Optimizing the Blowdown of Wizard Lake","year":2005,"lang":"en","type":"article","venue":"SPE International Improved Oil Recovery Conference in Asia Pacific","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Boiler blowdown; Petroleum engineering; Wizard; Environmental science; Flood myth; Hydrology (agriculture); Geology; Computer science; Geotechnical engineering; Geomorphology; Operating system","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":[0.0003581025,0.000169569,0.0001971696,0.0001964763,0.0000223425,0.00008634986,0.0003986637,0.0000946977,0.0003780758],"category_scores_gemma":[0.0001549959,0.000144847,0.00009123061,0.000189098,0.00004502104,0.0002916115,0.00003771741,0.0002937208,0.00002921162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008694897,"about_ca_system_score_gemma":0.00004015998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236976,"about_ca_topic_score_gemma":0.0001102685,"domain_scores_codex":[0.998899,0.00003892871,0.0004380047,0.0001772639,0.0002308235,0.0002159575],"domain_scores_gemma":[0.9992892,0.0002092514,0.00006864224,0.0002661372,0.0001209444,0.00004586523],"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":[0.00002403563,0.00002025658,0.0002675625,0.00002332605,0.0000481178,0.000001744925,0.000291155,0.8929238,0.007951118,0.0006261677,0.0001898129,0.0976329],"study_design_scores_gemma":[0.0004477733,0.0000218614,0.0006075893,0.00008262452,0.000005847669,0.00000569974,0.0001938839,0.9591653,0.006165836,0.0004999816,0.03261346,0.0001901307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5413582,0.000613219,0.1202634,0.002872655,0.003780336,0.0002800947,0.0001326671,0.0004145885,0.3302848],"genre_scores_gemma":[0.9711226,0.0005015333,0.02569009,0.0000133359,0.0001798432,0.00002307603,0.00002241324,0.0000267365,0.002420331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4297644,"threshold_uncertainty_score":0.5906687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853136353197768,"score_gpt":0.2613399397307185,"score_spread":0.2428085761987408,"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."}}