{"id":"W1715304954","doi":"10.3968/5772","title":"Study on Impact of Compositional Gradient on Volatile Oil Reservoir Development","year":2015,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Reservoir simulation; Petroleum reservoir; Environmental science; Flood myth; Reservoir modeling; Development (topology); Concentration gradient; Temperature gradient; Mode (computer interface); Geology; Soil science; Computer science; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002970728,0.0002190085,0.0002792789,0.0004266944,0.00007065076,0.00002845969,0.0001043268,0.00004393702,0.00002410205],"category_scores_gemma":[0.00002054763,0.0001831719,0.0000356262,0.0002880155,0.00002608767,0.0003579717,0.00003118961,0.0001337979,0.00003829479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139209,"about_ca_system_score_gemma":0.0001393034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005318017,"about_ca_topic_score_gemma":0.0002232197,"domain_scores_codex":[0.9984523,0.00006236154,0.0005378655,0.0002408788,0.0005089709,0.0001976053],"domain_scores_gemma":[0.9994897,0.00004196913,0.00007438387,0.0001623567,0.00007724424,0.0001543439],"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":[0.0001476829,0.0004619711,0.008255896,0.0000211903,0.00008256198,0.000009937201,0.008098834,0.9740877,0.00007044685,0.00008988236,0.0001852008,0.008488731],"study_design_scores_gemma":[0.02507929,0.007096585,0.1571197,0.001256378,0.00008246081,0.00002009922,0.05734816,0.593457,0.0372994,0.001640512,0.1150301,0.004570427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898002,0.0003414206,0.003717175,0.00008088226,0.0001807851,0.0001255945,0.000003635149,0.00008626397,0.005664008],"genre_scores_gemma":[0.9981719,0.0001712549,0.001265594,0.00002383381,0.0000217766,0.0001401547,0.00008154284,0.0000175267,0.0001064021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3806307,"threshold_uncertainty_score":0.7469531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902121731553902,"score_gpt":0.2964103457789519,"score_spread":0.2573891284634128,"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."}}