{"id":"W2909709971","doi":"10.4095/292378","title":"Regional surveying of Canadian Arctic offshore basins for potential natural oil seeps using satellite radar","year":2013,"lang":"en","type":"report","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Submarine pipeline; Satellite; Arctic; Geology; Oceanography; Radar; Natural (archaeology); Petroleum seep; Remote sensing; Telecommunications; Engineering; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005218949,0.000466854,0.0003114051,0.002476817,0.001728656,0.0006348711,0.0005625458,0.000278075,0.001163891],"category_scores_gemma":[0.000576924,0.0003021386,0.0003301307,0.003312106,0.0002465319,0.000266375,0.0005169646,0.0002420414,0.0002691343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007393098,"about_ca_system_score_gemma":0.01720155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844837,"about_ca_topic_score_gemma":0.9953353,"domain_scores_codex":[0.999627,0.00001403349,0.00001050298,0.00005148455,0.0002016,0.00009534922],"domain_scores_gemma":[0.9993,0.00002405604,0.00005084782,0.00002217854,0.0005234136,0.00007948012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004051873,0.0001538869,0.8423681,0.0002952384,0.0003197172,0.0006324493,0.001706998,0.01677848,0.02017278,0.0006511836,0.01894094,0.09757499],"study_design_scores_gemma":[0.00001473219,0.00002539583,0.9859654,0.00002978122,0.00004658747,0.00005958401,0.0009587883,0.0032999,0.002048465,0.00003177462,0.007498986,0.00002074976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673966,0.0007433895,0.0009873599,0.0002135629,0.00001828481,0.0001822018,0.01663135,0.0001071946,0.01372004],"genre_scores_gemma":[0.9703809,0.001124047,0.006020116,0.00006504609,0.00001028919,0.00008830042,0.0130868,0.00002706905,0.009197352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01551634,"threshold_uncertainty_score":0.0536409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661540095691682,"score_gpt":0.2562007746264215,"score_spread":0.2095853736695047,"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."}}