{"id":"W2790442566","doi":"10.1007/978-3-319-74439-1_1","title":"Doppler Effect in the Underwater Acoustic Ultra Low Frequency Band","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Doppler effect; Underwater; Acoustics; Bandwidth (computing); Underwater acoustic communication; Frequency band; Doppler frequency; Low frequency; Power (physics); Telecommunications; Physics; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005100684,0.0002810108,0.0003319251,0.0001555197,0.0004727836,0.0001850722,0.001605705,0.0002101518,0.000003084403],"category_scores_gemma":[0.000009076763,0.0001818762,0.0001477993,0.0001708627,0.0003668739,0.0001441234,0.0001414486,0.0004478882,0.00000208967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006929359,"about_ca_system_score_gemma":0.00004318606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003156672,"about_ca_topic_score_gemma":0.0002154838,"domain_scores_codex":[0.9988505,0.00002261572,0.000587119,0.0001004801,0.0002124751,0.0002267888],"domain_scores_gemma":[0.9987815,0.0003334757,0.0001687834,0.0006183971,0.00007019046,0.00002763029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001763797,0.00001082959,0.00001447523,0.0006172411,0.0001040597,1.196597e-7,0.006566931,0.9875785,0.0002968836,0.001612179,0.0001857805,0.003011302],"study_design_scores_gemma":[0.0009488818,0.0003022491,0.000156766,0.001469236,0.0001917083,0.00006074848,0.00006442751,0.944637,0.002366206,0.004917958,0.04372463,0.001160159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006452985,0.001093608,0.9806665,0.0004728877,0.0005275772,0.001328387,0.00008697635,0.0001319088,0.009239129],"genre_scores_gemma":[0.8211918,0.0002421197,0.1778863,0.0001984934,0.0002410453,0.00007956388,0.00005635335,0.0000424335,0.00006190347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8147388,"threshold_uncertainty_score":0.7416698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672601665393333,"score_gpt":0.2216529738933714,"score_spread":0.204926957239438,"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."}}