{"id":"W3013195924","doi":"","title":"SAR Analysis of the Terra Nova Bay Ice Eddy of Summer 2015","year":2016,"lang":"io","type":"article","venue":"ESASP","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Bay; Geology; Oceanography; Meteorology; Climatology; Nova scotia; Geography; Environmental science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004914116,0.0001843655,0.0004512051,0.0001497451,0.00009983438,0.00001233159,0.0005391749,0.0001167548,0.01286084],"category_scores_gemma":[0.0001159227,0.00009383565,0.0003605241,0.0007700072,0.0004640278,0.0001597915,0.00006309443,0.0001276934,0.0001492079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009541609,"about_ca_system_score_gemma":0.0001316795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00441122,"about_ca_topic_score_gemma":0.002634927,"domain_scores_codex":[0.9982759,0.0001475087,0.0004885591,0.0002756859,0.0004682222,0.0003441315],"domain_scores_gemma":[0.9984275,0.0004071704,0.0003786699,0.0005721746,0.0001113637,0.0001030881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006609162,0.00007235771,0.9645574,0.00004889415,0.001078722,0.000003244385,0.001180051,0.0006265975,0.0002384961,0.0002795866,0.002375737,0.02947279],"study_design_scores_gemma":[0.0004242503,0.0001463533,0.9690214,0.000137433,0.001863391,0.000003844127,0.0005929942,0.0080228,0.0002573117,0.0001006767,0.01918025,0.0002492606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718133,0.0006306185,0.001964775,0.003387895,0.001625483,0.0002228714,0.001172309,0.00001300593,0.0191697],"genre_scores_gemma":[0.9940884,0.000247745,0.0004060056,0.0002460855,0.000103891,1.422642e-7,0.00003043355,0.0000052757,0.004872061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02922353,"threshold_uncertainty_score":0.9880415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969399771861221,"score_gpt":0.2405754816749501,"score_spread":0.2208814839563379,"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."}}