{"id":"W4408485692","doi":"10.5194/egusphere-egu25-18156","title":"Güralp Ocean Bottom Monitoring Solutions: Autonomous Nodes, Cabled Observatories and SMART","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Geology; Marine engineering; Environmental science; Computer science; Real-time computing; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004634868,0.0009470342,0.0002394032,0.0009818405,0.0004378295,0.001451183,0.001235064,0.001106302,0.02443481],"category_scores_gemma":[0.0007986192,0.000321137,0.0001768252,0.00114932,0.0007031749,0.001673559,0.001891811,0.0006603232,0.01296425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012951,"about_ca_system_score_gemma":0.0008453114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085122,"about_ca_topic_score_gemma":0.01544198,"domain_scores_codex":[0.9995012,0.00005280066,0.00001282199,0.0001100816,0.000257733,0.00006532123],"domain_scores_gemma":[0.9993566,0.00006015431,0.00009136739,0.0001906598,0.0001933962,0.0001079118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003337316,0.0001135713,0.004759441,0.0003767563,0.00004426398,0.0004906774,0.0005913816,0.005442917,0.04781469,0.02263954,0.4146973,0.5026958],"study_design_scores_gemma":[0.00013472,0.0003599155,0.005916598,0.00008656621,0.00003580981,0.0003929975,0.0002865049,0.03116709,0.01992885,0.006399617,0.9352198,0.00007150145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0835443,0.001083781,0.3490748,0.005011267,0.0007470567,0.001041828,0.01076716,0.0847963,0.4639336],"genre_scores_gemma":[0.466687,0.001639417,0.2289923,0.002312647,0.0002259217,0.0008042948,0.01419194,0.003848566,0.2812978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02443481,"threshold_uncertainty_score":0.08174258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05635245119641838,"score_gpt":0.2551117575891597,"score_spread":0.1987593063927413,"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."}}