{"id":"W2108945168","doi":"10.1109/igarss.1996.516544","title":"Application of wideband signals to airborne laser bathymetry","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Chirp; Bathymetry; Reflection (computer programming); Wideband; Matched filter; SIGNAL (programming language); Filter (signal processing); Transmission (telecommunications); Remote sensing; Acoustics; Signal processing; Backscatter (email); Computer science; Optics; Geology; Laser; Electronic engineering; Radar; Telecommunications; Physics; Engineering; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001519159,0.0002421116,0.0001276827,0.000363521,0.0001409579,0.0003594799,0.0001758416,0.0003736569,0.0007029591],"category_scores_gemma":[0.000823848,0.0001311945,0.0001433562,0.0004300987,0.0001542869,0.000300957,0.0003534972,0.0002987683,0.0002690748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310358,"about_ca_system_score_gemma":0.0001416366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005459803,"about_ca_topic_score_gemma":0.0009336625,"domain_scores_codex":[0.9998909,0.0000189499,0.000004606617,0.00001891579,0.00005317171,0.0000133472],"domain_scores_gemma":[0.9997259,0.0001238279,0.00002667643,0.00004073139,0.00007058254,0.00001226837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001710868,0.00002561433,0.001775866,0.0001553113,0.00003183262,0.0003309914,0.0001874698,0.02060322,0.5344451,0.01000354,0.0007278742,0.431542],"study_design_scores_gemma":[0.00008748341,0.0008471129,0.009207878,0.0001025081,0.0001461412,0.002101928,0.0002288969,0.4410217,0.4837176,0.01555549,0.04689995,0.00008336666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1418045,0.001336918,0.8510676,0.0002075524,0.0001430068,0.00002843968,0.00009410617,0.0006343059,0.004683537],"genre_scores_gemma":[0.5877932,0.001532753,0.4067138,0.0001053013,0.000172207,0.00003575571,0.0001160369,0.00005717605,0.003473731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007029591,"threshold_uncertainty_score":0.002351582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059172048762735,"score_gpt":0.222641794661479,"score_spread":0.2120500741738516,"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."}}