{"id":"W2024162857","doi":"10.1109/oceans.2007.4449231","title":"Regional Cable Observatory Solutions","year":2007,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Columbia Knowledge Development Fund; Woods Hole Oceanographic Institution","keywords":"Shore; Observatory; Telecommunications; Broadband; Electrical engineering; Engineering; Remotely operated underwater vehicle; Neptune; Systems engineering; Computer science; Planet; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001606822,0.00004167092,0.00004279521,0.00002378144,0.00006103202,0.00001211265,0.0001060694,0.00003056288,0.00009675686],"category_scores_gemma":[2.737972e-7,0.00003933297,0.00002261033,0.0000716087,0.00001154314,0.00006272071,0.00001795925,0.00005244906,0.0001463667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003399771,"about_ca_system_score_gemma":0.000005051947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007960256,"about_ca_topic_score_gemma":0.0001391953,"domain_scores_codex":[0.9996306,0.000004911903,0.0001118916,0.00004155398,0.00006346932,0.0001475206],"domain_scores_gemma":[0.9997296,0.00002018231,0.000006172891,0.0001816957,0.00001912391,0.00004325337],"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":[0.00002030817,0.0002441884,0.02592743,0.0002036798,0.000354176,0.00001782166,0.003661386,0.03128134,0.3576286,0.1386295,0.3775352,0.06449632],"study_design_scores_gemma":[0.0001102227,0.000004550101,0.00781872,0.0000074248,0.000002289446,0.000008824248,0.0003337251,0.007997196,0.004478706,0.0003757775,0.9787506,0.0001119473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09267444,0.001365382,0.6910888,0.0004725865,0.000154618,0.0001172984,0.000001563272,0.001114576,0.2130108],"genre_scores_gemma":[0.9936973,0.00002652232,0.003694171,0.0001357887,0.00004662942,0.000003778839,0.000003416937,0.000009240056,0.002383109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9010229,"threshold_uncertainty_score":0.1881296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06687701820869031,"score_gpt":0.2330831264085393,"score_spread":0.166206108199849,"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."}}