{"id":"W3041337723","doi":"10.1038/s41597-020-0520-9","title":"The International Bathymetric Chart of the Arctic Ocean Version 4.0","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":311,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service; Geological Survey of Canada","funders":"Stockholms Universitet; Natural Environment Research Council; Sight Research UK; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Bathymetric chart; Oceanography; Bathymetry; Chart; Arctic; The arctic; Geography; Environmental science; Geology; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423705,0.0007146503,0.0003652975,0.002882958,0.0004528998,0.001177591,0.0005404696,0.0002980698,0.01386274],"category_scores_gemma":[0.003523683,0.0002742303,0.0003632417,0.005465043,0.0002880176,0.0008069055,0.001020166,0.0008162764,0.008747269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000880613,"about_ca_system_score_gemma":0.004344925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1019456,"about_ca_topic_score_gemma":0.09753112,"domain_scores_codex":[0.999111,0.0001435235,0.000123099,0.00009795601,0.0004210379,0.0001032858],"domain_scores_gemma":[0.9984583,0.000102536,0.0002323405,0.0002118935,0.0008984417,0.00009657989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002454322,0.00004442724,0.04168762,0.0006953456,0.00007348561,0.0002011516,0.0008301028,0.004213542,0.00782748,0.01728859,0.6744179,0.252475],"study_design_scores_gemma":[0.00001943052,0.00002525157,0.06056013,0.0001357056,0.00002102624,0.00009908447,0.0002737282,0.001139381,0.001102739,0.001440235,0.9351386,0.00004465406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03084187,0.001665649,0.0583606,0.0006691944,0.001351503,0.0008038623,0.7025667,0.006356692,0.197384],"genre_scores_gemma":[0.07923535,0.002453485,0.1052809,0.000380176,0.0002215883,0.0009223536,0.778696,0.002185321,0.03062478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019456,"threshold_uncertainty_score":0.2027044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07080271622274797,"score_gpt":0.2205855732676975,"score_spread":0.1497828570449495,"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."}}