{"id":"W2068228757","doi":"10.1109/oceanskobe.2008.4531076","title":"Building the World's First Multi-node Cabled Ocean Observatories (NEPTUNE Canada and VENUS, Canada): Science, Realities, Challenges and Opportunities","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Venus; Neptune; Observatory; Data archive; Oceanography; Remote sensing; Astrobiology; Meteorology; Telecommunications; Planet; Computer science; Geography; Geology; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441359,0.0001212455,0.0001159188,0.00003651279,0.001126301,0.00006766065,0.0004978602,0.00001345573,0.000001168857],"category_scores_gemma":[0.00002065119,0.00009390301,0.000008068097,0.0002368525,0.0003561939,0.0003194202,0.0002734703,0.00008309352,3.068405e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536285,"about_ca_system_score_gemma":0.001815509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8762934,"about_ca_topic_score_gemma":0.9866118,"domain_scores_codex":[0.9989381,0.00001501114,0.0001566331,0.0003019505,0.0003396144,0.0002486712],"domain_scores_gemma":[0.9991782,0.0001902521,0.00006596297,0.0003043671,0.0001279846,0.0001331768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[9.558313e-7,0.000008477825,0.0003598702,0.00001405579,0.000006245244,0.00002237115,0.0004676834,0.0002654335,0.00001214293,0.9883597,0.004355207,0.006127852],"study_design_scores_gemma":[0.0003119978,0.00003061401,0.05116786,0.00005991321,0.000007770357,0.0002085049,0.0009844458,0.04808715,0.0008665656,0.02136492,0.8763103,0.0005999234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3843019,0.02046315,0.3627513,0.2136812,0.0009509691,0.001734114,0.0001504982,0.001105382,0.01486142],"genre_scores_gemma":[0.9116367,0.001996931,0.08328285,0.001543032,0.00003714933,0.00002699388,0.000002190831,0.000008442788,0.001465734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9669948,"threshold_uncertainty_score":0.8662707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07926048691685476,"score_gpt":0.2630410024048485,"score_spread":0.1837805154879937,"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."}}