{"id":"W2127484070","doi":"10.1002/cjg2.1341","title":"Modeling on Gas Hydrate Formation Conditions in the Qinghai‐Tibet Plateau Permafrost","year":2009,"lang":"en","type":"article","venue":"Chinese Journal of Geophysics","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Geology and Geophysics, Chinese Academy of Sciences; Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","keywords":"Permafrost; Clathrate hydrate; Hydrate; Methane; Gas composition; Plateau (mathematics); Geology; Propane; Hydrocarbon; Natural gas; Natural gas field; Mineralogy; Geochemistry; Chemistry; Thermodynamics; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165248,0.0004148979,0.0002968218,0.0003683378,0.0005297258,0.0005577799,0.0006947645,0.0005519988,0.00109814],"category_scores_gemma":[0.0002203165,0.0002277348,0.0004977545,0.000417096,0.0003405287,0.0003298048,0.0002396624,0.0001816216,0.00007403345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463933,"about_ca_system_score_gemma":0.001547852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1861548,"about_ca_topic_score_gemma":0.07918793,"domain_scores_codex":[0.9999503,0.00001039858,0.000002375956,0.0000124805,0.000006378643,0.00001806017],"domain_scores_gemma":[0.9999443,0.00001820127,0.000007385945,0.000003753259,0.00001401844,0.00001224145],"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":[0.00004578347,0.00002307996,0.01242759,0.00001577594,0.00002143942,0.0001147347,0.0000254156,0.983745,0.001941218,0.0002313844,0.00006739015,0.001341189],"study_design_scores_gemma":[0.00002153138,0.00002072798,0.0057144,0.000001734391,0.000008979777,0.000009407368,0.00002793445,0.9936756,0.0003470668,0.00007830929,0.00008934813,0.000004875491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955633,0.00005286296,0.002295741,0.00004480542,0.000003927916,0.00001005808,0.0002532474,0.00005923669,0.00171683],"genre_scores_gemma":[0.9992125,0.00002468259,0.0003632851,0.000004330437,0.000001707677,0.000007663649,0.0001335368,0.000004521936,0.0002477101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1861548,"threshold_uncertainty_score":0.3701425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009122975580949587,"score_gpt":0.240797164473612,"score_spread":0.2316741888926624,"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."}}