{"id":"W2909942535","doi":"10.1038/s41597-024-04278-w","title":"The International Bathymetric Chart of the Arctic Ocean Version 5.0","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service; Geological Survey of Canada","funders":"Executive Agency for Small and Medium-sized Enterprises; Jet Propulsion Laboratory; European Climate, Infrastructure and Environment Executive Agency; Stockholms Universitet; Universitat de Barcelona; Vetenskapsrådet; Polarforskningssekretariatet; Agencia Estatal de Investigación; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Bathymetry; Arctic; Bathymetric chart; Oceanography; Sea ice; Seafloor spreading; Submarine pipeline; Arctic ice pack; The arctic; Marine geology; Seabed; Geology; Environmental science","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":[0.001543272,0.0008653327,0.0004542774,0.003332172,0.0005217748,0.001279133,0.0006702029,0.0003885734,0.01521362],"category_scores_gemma":[0.003722011,0.0003249643,0.0005482851,0.00621757,0.0003499981,0.0009518099,0.001090664,0.001091952,0.007793147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827854,"about_ca_system_score_gemma":0.004067483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09081776,"about_ca_topic_score_gemma":0.08669145,"domain_scores_codex":[0.9989694,0.0001602757,0.0001477454,0.0001177841,0.0004858631,0.0001188303],"domain_scores_gemma":[0.9977943,0.000117975,0.000240427,0.0002611122,0.001456295,0.0001300007],"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":[0.0003432695,0.00007343401,0.04272372,0.0009005792,0.0001099928,0.0002424603,0.0008170474,0.007711427,0.009720271,0.01381397,0.6715308,0.2520131],"study_design_scores_gemma":[0.00003579487,0.0000379044,0.04869644,0.000184957,0.0000280951,0.0001178815,0.0002800935,0.002034768,0.001338252,0.00173204,0.9454505,0.00006326675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02838388,0.002122685,0.1137681,0.0008176017,0.00205961,0.001217348,0.6711566,0.008798181,0.171676],"genre_scores_gemma":[0.06146396,0.002025019,0.1665681,0.0004016726,0.0002155483,0.001143107,0.7403158,0.002829321,0.02503749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09081776,"threshold_uncertainty_score":0.1805783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080398171728879,"score_gpt":0.2412259815817568,"score_spread":0.220421999864468,"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."}}