{"id":"W2483079406","doi":"","title":"How Often? Towards an Optimum Survey Interval for Mobile Seabeds","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrography; Submarine pipeline; Hydrographic survey; Oceanography; Operations research; Computer science; Geology; Geography; Marine engineering; Remote sensing; Engineering","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":[0.0224113,0.0009289202,0.002172952,0.003425163,0.0008609294,0.002520037,0.004532189,0.001364645,0.004720116],"category_scores_gemma":[0.06080221,0.0008661787,0.0009684187,0.003428783,0.0009711125,0.004239712,0.001507139,0.001614721,0.003316015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736629,"about_ca_system_score_gemma":0.003072158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004734115,"about_ca_topic_score_gemma":0.006812385,"domain_scores_codex":[0.9879507,0.006623883,0.001485574,0.001653639,0.001952391,0.0003337676],"domain_scores_gemma":[0.9737332,0.01298532,0.003532262,0.001590701,0.007469175,0.000689381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005380246,0.0001343467,0.01170197,0.004743007,0.0001117371,0.00009808094,0.0007964406,0.006321887,0.004522314,0.01997943,0.02966729,0.9213854],"study_design_scores_gemma":[0.0004955881,0.002830984,0.09981493,0.02001377,0.001358965,0.002415056,0.009814587,0.05401168,0.02580575,0.08606507,0.696584,0.0007895954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02924901,0.1351832,0.789171,0.01409043,0.004078716,0.000982739,0.001813641,0.002169055,0.0232623],"genre_scores_gemma":[0.1259658,0.05129286,0.8133649,0.001726259,0.001540286,0.001069358,0.0008266593,0.0006844608,0.003529381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0224113,"threshold_uncertainty_score":0.1185237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181738618411347,"score_gpt":0.345455627095389,"score_spread":0.2272817652542543,"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."}}