{"id":"W2884283815","doi":"10.4095/308463","title":"A catalogue of potential natural oil seeps in the marine environment of Hudson Bay-Hudson Strait and Foxe Channel from 2015-2017 RADARSAT-2 imagery analysis","year":2018,"lang":"en","type":"report","venue":"","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Bay; Oceanography; Channel (broadcasting); Geography; Natural (archaeology); Aerial imagery; Geology; Oil spill; Fishery; Cartography; Physical geography; Archaeology; Remote sensing; Environmental protection; Telecommunications; Engineering; Biology","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":[0.0006741163,0.000377774,0.0008953694,0.0002181182,0.0001003084,0.00002970679,0.0003746941,0.0001946056,0.00368447],"category_scores_gemma":[0.00002531038,0.0002437153,0.0002792775,0.0001912451,0.0004450535,0.0001239219,0.0002197786,0.0002999154,0.00002063144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001937435,"about_ca_system_score_gemma":0.00004706624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2912726,"about_ca_topic_score_gemma":0.1158512,"domain_scores_codex":[0.9973747,0.0001099587,0.0006606673,0.0005541313,0.0009676766,0.000332925],"domain_scores_gemma":[0.9988475,0.0001243156,0.0004755077,0.0004652294,0.00001674325,0.000070711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001698578,0.0001779063,0.8595375,0.0002384562,0.002225219,0.0001318736,0.0007792813,0.0003943936,0.00003962023,7.834244e-7,0.009636355,0.1266688],"study_design_scores_gemma":[0.0002874246,0.0001309029,0.9903923,0.00002629664,0.0008303521,0.0000191987,0.0005348179,0.001068469,0.00003631782,0.00009478035,0.006292747,0.0002863991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232991,0.01139112,0.00009011556,0.000454225,0.000717903,0.0004291765,0.004430069,0.00001881061,0.05916949],"genre_scores_gemma":[0.9741128,0.01504941,0.0007434553,0.00004225501,0.0002432743,0.000001996185,0.007128118,0.000007623788,0.002671037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1754214,"threshold_uncertainty_score":0.9972263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381882886813629,"score_gpt":0.2104041579176406,"score_spread":0.1965853290495043,"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."}}