{"id":"W1500948559","doi":"","title":"In-situ Underway Sound Velocity Profiling for Calibration of Multibeam Sounders Using a Moving Vessel Profiler (MVP)","year":2000,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Profiling (computer programming); Calibration; Sound (geography); Geology; Remote sensing; In situ; Acoustics; Physics; Meteorology; Computer science; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009127829,0.0004645694,0.0004204962,0.001068905,0.0005546552,0.000555713,0.001184256,0.0006053342,0.006332918],"category_scores_gemma":[0.001383598,0.0004792031,0.0003184665,0.0008759567,0.0002272389,0.0007703342,0.0005368614,0.0006126919,0.003330796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006334836,"about_ca_system_score_gemma":0.001390092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816735,"about_ca_topic_score_gemma":0.05128848,"domain_scores_codex":[0.999052,0.00004706274,0.00002593334,0.0002256148,0.0005787831,0.00007054969],"domain_scores_gemma":[0.9993775,0.00006446315,0.00004525275,0.0001399604,0.0003402444,0.00003249256],"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":[0.0001887837,0.0001287057,0.01758106,0.0002370205,0.00003209446,0.0001662377,0.0003746988,0.003981361,0.670673,0.001223368,0.006132841,0.2992809],"study_design_scores_gemma":[0.0001288063,0.0008973734,0.1359769,0.0001257509,0.0001309065,0.0007826896,0.0003495077,0.1236577,0.6670021,0.0008608641,0.06990487,0.0001825038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2120135,0.0002973261,0.7478176,0.0002467858,0.0003735374,0.0007943794,0.004249798,0.01226647,0.02194048],"genre_scores_gemma":[0.4244798,0.0002652822,0.5595815,0.0001872793,0.00003776295,0.0003465646,0.002076617,0.0006451688,0.01238013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01816735,"threshold_uncertainty_score":0.03612322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510534409616699,"score_gpt":0.2916371271816462,"score_spread":0.2405836862199763,"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."}}