{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000174773,0.0001069116,0.0001294465,0.00006722147,0.0002057617,0.00003343055,0.0004465759,0.00006008409,5.482957e-7],"category_scores_gemma":[2.833291e-8,0.00008735585,0.00001770512,0.0002040011,0.00005687376,0.0002276736,0.00009005754,0.00008414274,0.00001053887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004738467,"about_ca_system_score_gemma":0.00001041737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006465623,"about_ca_topic_score_gemma":0.00001836865,"domain_scores_codex":[0.9991439,0.00004261773,0.0003892795,0.0002030504,0.00009838113,0.0001227813],"domain_scores_gemma":[0.9991795,0.00005154534,0.00006108128,0.0006267953,0.00004465976,0.00003635448],"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":[0.00001434529,0.00009624986,0.0008555706,0.0004217478,0.0000454798,6.195133e-7,0.00197489,0.004602868,0.08683249,0.003084277,0.0004728397,0.9015986],"study_design_scores_gemma":[0.001034944,0.00002401916,0.0048515,0.000137334,0.0000274989,0.00008219924,0.0006537475,0.3058322,0.03023142,0.0008095409,0.6559095,0.0004060995],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03920619,0.0006964735,0.959246,0.0002369179,0.000005520463,0.0003300023,0.00001685468,0.000141496,0.0001205821],"genre_scores_gemma":[0.9745939,0.0006685767,0.02424447,0.00001387976,0.00004706776,0.0001710326,0.0002200056,0.00001927665,0.00002175104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9353877,"threshold_uncertainty_score":0.3562268,"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."}}