{"id":"W1969769356","doi":"10.2118/2004-201","title":"Solution Gas Production Profiling","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Computer science; Production (economics); Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001229334,0.0001081699,0.00007985393,0.0002548005,0.00005743626,0.00007141641,0.0001789004,0.00006111123,0.0001057103],"category_scores_gemma":[0.0001006633,0.0001261392,0.0000336029,0.00009788387,0.00002052075,0.0002044353,0.000007625892,0.0001600711,0.00007743647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544719,"about_ca_system_score_gemma":0.0001595325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961033,"about_ca_topic_score_gemma":0.008805742,"domain_scores_codex":[0.999296,0.000009558844,0.0001544115,0.000154898,0.0001608895,0.0002242587],"domain_scores_gemma":[0.9995328,0.000009736139,0.00001619496,0.0001401961,0.0001213758,0.0001797389],"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":[0.00000168136,0.000002394495,0.0003743244,0.000008639866,0.00001608007,0.000004199015,0.00004408877,0.9901763,0.002532063,0.006251813,0.0001422148,0.0004461536],"study_design_scores_gemma":[0.0003501235,0.00001295989,0.001823972,0.00005500459,0.000005432676,0.00002202449,0.0000365961,0.9720557,0.007342509,0.002518875,0.01552996,0.0002468102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878352,0.00004701192,0.09069128,0.001234745,0.002164895,0.00006923755,0.00001651709,0.0002347698,0.01770633],"genre_scores_gemma":[0.9894556,0.00002881722,0.009682725,0.00002294817,0.0002752705,0.00002002033,0.00004877437,0.00001900745,0.000446773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016205,"threshold_uncertainty_score":0.5143806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326412641588218,"score_gpt":0.2508871100936477,"score_spread":0.2276229836777655,"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."}}