{"id":"W1947461796","doi":"10.1111/1365-2478.12007","title":"The marine controlled source electromagnetic response of a steel borehole casing: applications for the NEPTUNE Canada gas hydrate observatory","year":2013,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Casing; Borehole; Observatory; Neptune; Geology; Clathrate hydrate; Geothermal gradient; Hydrate; Petroleum engineering; Geophysics; Geotechnical engineering; Planet; Astronomy; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005267639,0.0001521002,0.000230511,0.000007333535,0.0007475423,0.00005523421,0.0003332137,0.00003683406,0.0001262735],"category_scores_gemma":[0.0001787566,0.00008312018,0.00009702075,0.0002720897,0.0002086019,0.00005869219,0.0001634211,0.0002317324,0.00003362126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436217,"about_ca_system_score_gemma":0.00007108782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1204691,"about_ca_topic_score_gemma":0.0167425,"domain_scores_codex":[0.9985974,0.0001192318,0.0003336481,0.0002606561,0.0002691188,0.0004199047],"domain_scores_gemma":[0.9975475,0.001710302,0.0002285541,0.0003934422,0.00003508144,0.00008510361],"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":[0.003047223,0.0005239208,0.009951276,0.00007366794,0.0004503388,0.000004157494,0.001467403,0.02072371,0.8970556,0.004558607,0.005680932,0.05646313],"study_design_scores_gemma":[0.01012059,0.001580157,0.3845536,0.0000432624,0.0004585331,0.00002240697,0.002471324,0.4599524,0.02257721,0.03504026,0.0819181,0.001262148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934896,0.0001395817,0.0002750297,0.002249125,0.00006833646,0.002351879,0.000002667704,0.00002473905,0.001399028],"genre_scores_gemma":[0.9927108,0.000008360681,0.0002889637,0.0001728252,0.0001013003,0.000899175,0.000002134753,0.0000217004,0.005794771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8744784,"threshold_uncertainty_score":0.934271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005752941499367705,"score_gpt":0.1910287363675213,"score_spread":0.1852757948681536,"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."}}