{"id":"W1974493306","doi":"10.1029/2000gl011585","title":"The Assessment of Marine Gas Hydrates Through Electrical Remote Sounding: Hydrate Without a BSR?","year":2000,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clathrate hydrate; Geology; Sediment; Hydrate; Submarine pipeline; Electrical resistivity and conductivity; Mineralogy; Drilling; Petrology; Geomorphology; Oceanography; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001213694,0.0002209871,0.0002949873,0.00004171714,0.000610296,0.000109569,0.0007141617,0.00008159121,0.001941686],"category_scores_gemma":[0.00008367273,0.0001386189,0.0001425272,0.001055939,0.001127032,0.000196216,0.0003777864,0.001055462,0.0009735476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408725,"about_ca_system_score_gemma":0.00003780319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760539,"about_ca_topic_score_gemma":0.00001908867,"domain_scores_codex":[0.9957759,0.0006444336,0.0003786411,0.0005337295,0.001537169,0.001130086],"domain_scores_gemma":[0.998336,0.00074301,0.00008103227,0.0006016669,0.00002612848,0.0002122262],"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":[0.0006312553,0.0008450203,0.01329193,0.00004514087,0.0003388946,0.0001319979,0.001162665,0.006738787,0.7387628,0.008197246,0.01975542,0.2100988],"study_design_scores_gemma":[0.004038242,0.002883683,0.1373888,0.0001615027,0.0001424996,0.00004746637,0.0002022846,0.3334786,0.0345564,0.245276,0.2399175,0.00190707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210822,0.0000297374,0.000163429,0.009009843,0.00005799022,0.0004123254,0.000001876556,0.00003321244,0.0692094],"genre_scores_gemma":[0.9933733,0.0002571579,0.001521475,0.0006297947,0.0001592116,0.00002505057,0.000008822965,0.00003410519,0.003991024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7042064,"threshold_uncertainty_score":0.9998043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474303385971494,"score_gpt":0.3247299881811693,"score_spread":0.2999869543214544,"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."}}