{"id":"W3148084814","doi":"10.1007/s12182-021-00568-9","title":"Evaluation and re-understanding of the global natural gas hydrate resources","year":2021,"lang":"en","type":"article","venue":"Petroleum Science","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"National Key Research and Development Program of China; National High-tech Research and Development Program; Chinese Academy of Sciences","keywords":"Clathrate hydrate; Natural gas; Natural resource; Hydrate; Natural (archaeology); Petroleum engineering; Engineering; Political science; Chemistry; Geology; Waste management; Law; Organic chemistry; Paleontology","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":[0.001599238,0.00007436895,0.00008216552,0.00001654405,0.000353886,0.00006398535,0.0002845352,0.00002475147,0.0003102052],"category_scores_gemma":[0.0002078866,0.00004759577,0.00003049094,0.0008438313,0.0009643822,0.0002165667,0.0003630042,0.00009781397,0.00001115602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840648,"about_ca_system_score_gemma":0.00006174947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008069443,"about_ca_topic_score_gemma":0.0001351752,"domain_scores_codex":[0.998174,0.0001229098,0.0001397035,0.0003053669,0.001036165,0.0002219081],"domain_scores_gemma":[0.9995379,0.00003165327,0.00009531832,0.0002413885,0.00002672618,0.00006700341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004904748,0.0001540354,0.4009785,0.00003323822,0.00004982942,0.00001418236,0.005447584,0.052701,0.5132586,0.008397417,0.0003185539,0.018598],"study_design_scores_gemma":[0.001277911,0.0001189103,0.4113328,0.0001246282,0.0001727647,0.0001051619,0.004217778,0.4559726,0.04747921,0.076887,0.00178552,0.0005257355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950264,0.0004185875,0.00004765922,0.0007362762,0.0002717058,0.00005649716,0.000001738304,0.000007252333,0.04819633],"genre_scores_gemma":[0.9994345,0.00002575668,0.00020139,0.00008110794,0.00001149097,0.000001775521,3.378498e-7,0.000002386673,0.0002412049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4657794,"threshold_uncertainty_score":0.3553306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145550154672243,"score_gpt":0.2558269917469387,"score_spread":0.2343714902002162,"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."}}