{"id":"W2349327703","doi":"","title":"The Application of Underwater Data Acquisition and High Transmission System in Ocean Oil Exploration","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwater; Computer science; Sonar; Data acquisition; Transmission (telecommunications); Marine engineering; Oil exploration; Data transmission; Real-time computing; Telecommunications; Computer hardware; Petroleum engineering; Geology; Oceanography; Artificial intelligence; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002232645,0.0002125973,0.0001270565,0.0002249031,0.0002941422,0.0002831452,0.000263976,0.0004015208,0.001550152],"category_scores_gemma":[0.0002892778,0.0001202487,0.00009333051,0.0002658006,0.0002093626,0.0005715978,0.0002790073,0.0002855495,0.000422957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244625,"about_ca_system_score_gemma":0.0003365797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184979,"about_ca_topic_score_gemma":0.001045628,"domain_scores_codex":[0.9998689,0.00003503207,0.000004508823,0.00001993047,0.00005554905,0.00001612595],"domain_scores_gemma":[0.9999076,0.00003013112,0.000004869227,0.000008308863,0.00004014516,0.00000893675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002292609,0.00009007445,0.01211156,0.0004322399,0.00005034253,0.001178816,0.0008164565,0.03046282,0.3118793,0.04217687,0.007711629,0.5928606],"study_design_scores_gemma":[0.00007105774,0.001428616,0.01545233,0.0002195399,0.0001511338,0.004333011,0.0008362055,0.3891709,0.3682322,0.02119745,0.1987596,0.0001479773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1290812,0.006847885,0.8195964,0.001086777,0.000380841,0.0001265307,0.00006980131,0.0006365257,0.04217404],"genre_scores_gemma":[0.8321531,0.007256192,0.1408908,0.0002221272,0.0002239527,0.00008594088,0.0001206103,0.00005135427,0.01899581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001550152,"threshold_uncertainty_score":0.005185723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106957214656363,"score_gpt":0.2178613150994214,"score_spread":0.1967917429528578,"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."}}