{"id":"W2036797002","doi":"10.2118/2009-189","title":"Analytical Solution for Constant Pressure Production from Hydrate-Capped Gas Reservoir","year":2009,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Resources Canada; National Science Council","keywords":"Constant (computer programming); Hydrate; Clathrate hydrate; Petroleum engineering; Production (economics); Materials science; Thermodynamics; Process engineering; Geology; Chemistry; Computer science; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000199799,0.0001596479,0.0001528035,0.00009923252,0.0001652952,0.0000981966,0.0003739047,0.0001185798,0.004553372],"category_scores_gemma":[0.0001462771,0.0001520727,0.00006525417,0.0001135008,0.0001309816,0.0002399772,0.00003120405,0.0001926883,0.0002448627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003572216,"about_ca_system_score_gemma":0.0001484286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02718297,"about_ca_topic_score_gemma":0.04058753,"domain_scores_codex":[0.9985574,0.000042005,0.0002592433,0.0004699734,0.0002985788,0.0003727407],"domain_scores_gemma":[0.999213,0.00003739149,0.00009449659,0.0002327115,0.0000680443,0.0003543407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001722593,0.0007826944,0.07822947,0.00004531279,0.001285138,0.00016474,0.002756485,0.2860661,0.09328461,0.1656511,0.3339689,0.0360429],"study_design_scores_gemma":[0.000842997,0.0001965434,0.01889767,0.00006132662,0.00008904768,0.00001341717,0.00008611705,0.6583892,0.001056566,0.03119884,0.2886717,0.0004965478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789722,0.00007835225,0.001613841,0.02304759,0.001044109,0.0003372096,0.0002914343,0.00004702073,0.0945683],"genre_scores_gemma":[0.9907511,0.00002626993,0.0005926951,0.0004038235,0.0002077781,0.00002208584,0.0002199277,0.000009650638,0.007766618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3723231,"threshold_uncertainty_score":0.9963566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105954446034058,"score_gpt":0.2392671998508653,"score_spread":0.2182076553905247,"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."}}