{"id":"W4317242210","doi":"10.1093/jge/gxac100","title":"Gas hydrate reservoir identification based on rock physics modelling and sensitive elastic parameters","year":2023,"lang":"en","type":"article","venue":"Journal of Geophysics and Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China National Petroleum Corporation; National Natural Science Foundation of China","keywords":"Authigenic; Hydrate; Clathrate hydrate; Saturation (graph theory); Delta; Geology; Mineralogy; Chemistry; Physics; Diagenesis","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":[0.0001915993,0.0000747999,0.000108135,0.00009598798,0.00006079594,0.00005543159,0.00004052577,0.00002081005,0.000001124467],"category_scores_gemma":[0.00001835427,0.00006461512,0.00003123813,0.0001587081,0.00001086534,0.0001704955,0.000004616088,0.0001334849,0.00000698547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003395157,"about_ca_system_score_gemma":0.000009840012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006693093,"about_ca_topic_score_gemma":1.875234e-7,"domain_scores_codex":[0.9995195,0.00001211791,0.0001355448,0.00008253187,0.0001367959,0.0001134981],"domain_scores_gemma":[0.9996358,0.000133653,0.00007779963,0.00005304085,0.00004139484,0.00005829579],"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":[0.00001202473,0.000002306344,0.000305291,0.00001895483,0.000008174105,0.000008799453,0.00008148961,0.9929876,0.0004488485,0.00001472641,0.000116293,0.005995443],"study_design_scores_gemma":[0.00009438136,0.00007469625,0.003408406,0.00008018168,0.00001222305,0.000005281326,0.00005184158,0.9928044,0.002282406,0.001042625,0.00007197441,0.00007157776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232826,0.00003178083,0.07629353,0.0001643533,0.0001339791,0.00002576961,0.000005363206,0.00002983118,0.00003276302],"genre_scores_gemma":[0.9984123,0.0001327654,0.001276884,0.00008024875,0.0000739881,1.284886e-7,0.000006654801,0.000003957498,0.00001312647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07512961,"threshold_uncertainty_score":0.2634928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511780431367676,"score_gpt":0.1919430315742735,"score_spread":0.1768252272605967,"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."}}