{"id":"W2338861742","doi":"","title":"Present State of Hydrographic Surveying of the North Sea and English Channel","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrography; Oceanography; Hydrographic survey; Channel (broadcasting); Geology; Geography; State (computer science); Cartography; Geodesy; Engineering; Telecommunications; Computer science; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.001842244,0.0001163955,0.000227952,0.0001206436,0.00005943854,0.00003213757,0.0008873145,0.0000191363,0.00005527849],"category_scores_gemma":[0.0002171321,0.00006069187,0.000126928,0.0006731933,0.000406584,0.0001160596,0.000108403,0.0001829637,0.000004348386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003407609,"about_ca_system_score_gemma":0.00006114058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093216,"about_ca_topic_score_gemma":0.002402368,"domain_scores_codex":[0.9979917,0.0003032581,0.0003891906,0.0001748079,0.0009472147,0.0001937696],"domain_scores_gemma":[0.9987163,0.0002656849,0.0002148753,0.0003237914,0.0003810003,0.00009833365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002646005,0.00004047693,0.9706638,0.0005016088,0.000191866,0.0000026366,0.0004250959,0.00739362,0.000004714821,0.0000144995,0.0007384625,0.01999673],"study_design_scores_gemma":[0.0009117599,0.0003542053,0.7395365,0.002650783,0.0002077141,0.00005412841,0.0001180042,0.2191413,0.0002572419,0.008415408,0.0278993,0.0004537455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487772,0.0455348,0.0001263313,0.001588947,0.0004295021,0.0007524692,0.0001901758,0.00001906308,0.002581493],"genre_scores_gemma":[0.9691355,0.03053467,0.00003719407,0.0001329356,0.00005377075,0.000004456891,0.00003699947,0.000004108577,0.00006043236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311274,"threshold_uncertainty_score":0.3164331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015257316710848,"score_gpt":0.269153571640149,"score_spread":0.2190009984730406,"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."}}