{"id":"W4408485692","doi":"10.5194/egusphere-egu25-18156","title":"G&amp;#252;ralp 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002710583,0.0003882578,0.0004770831,0.00009936999,0.0002387336,0.0003490822,0.0005501702,0.0003755655,0.0000207773],"category_scores_gemma":[0.000005939357,0.0004013315,0.0001041004,0.0001433085,0.00004611179,0.0001382352,0.001018078,0.0007264503,0.00002695479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455044,"about_ca_system_score_gemma":0.0001059367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459594,"about_ca_topic_score_gemma":0.000110132,"domain_scores_codex":[0.9984431,0.00006997427,0.0005590963,0.0003675528,0.0001707887,0.0003895363],"domain_scores_gemma":[0.9985408,0.0000858998,0.00007225067,0.001075279,0.0001101906,0.0001155477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007275871,0.0004426573,0.7474778,0.01574656,0.005465234,0.00002359734,0.02283098,0.1087182,0.01309171,0.01421935,0.0309888,0.04092235],"study_design_scores_gemma":[0.001422178,0.00003226143,0.03849656,0.003240098,0.0003797948,0.000033014,0.002443853,0.06545649,0.007678593,0.007067571,0.8704137,0.003335871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011056,0.04680837,0.1082037,0.001409352,0.005120416,0.001888046,0.0003490679,0.006928068,0.02818733],"genre_scores_gemma":[0.9698598,0.002134456,0.02020041,0.00003016313,0.0002073561,0.00009765747,0.0001061059,0.00004969994,0.007314393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8394249,"threshold_uncertainty_score":0.9998438,"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."}}