{"id":"W2325223749","doi":"10.1190/ice2015-2209980","title":"Site Characterisation for Carbon Sequestration in the Nearshore Gippsland Basin","year":2015,"lang":"en","type":"article","venue":"International Conference and Exhibition, Melbourne, Australia 13-16 September 2015","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Carbon sequestration; Environmental science; Structural basin; Carbon fibers; Oceanography; Geology; Carbon dioxide; Computer science; Geomorphology; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007904652,0.0001747944,0.0001513054,0.00006193561,0.00006812613,0.0002235804,0.0001799372,0.0001326521,0.0009419726],"category_scores_gemma":[0.00003617631,0.0001313396,0.00004265077,0.0001165689,0.0001113423,0.0006036756,0.00003711917,0.0001662041,0.000106453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481355,"about_ca_system_score_gemma":0.00003681078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353745,"about_ca_topic_score_gemma":0.001697936,"domain_scores_codex":[0.998607,0.0001205672,0.0003382673,0.0003052623,0.0003985874,0.0002302635],"domain_scores_gemma":[0.9994481,0.00004502764,0.0001509264,0.0001462867,0.00009596849,0.0001137391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001282043,0.0008696018,0.7074634,0.00008734344,0.0002423134,0.00007750552,0.02840737,0.003393316,0.036286,0.0158054,0.1990282,0.007057469],"study_design_scores_gemma":[0.008951483,0.0009331827,0.6214724,0.000473065,0.0002163283,0.0003111244,0.005622009,0.03103893,0.007170321,0.06540753,0.2563069,0.002096766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774343,0.00001694753,0.0002448542,0.002269292,0.0003790734,0.0003837603,0.00004802939,0.00001703247,0.01920664],"genre_scores_gemma":[0.9923048,0.00002655261,0.0001590095,0.0002397215,0.0002181887,0.0000660443,0.000390964,0.0000110983,0.006583599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08599108,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250487620576417,"score_gpt":0.3130277888563861,"score_spread":0.2405229126506219,"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."}}