{"id":"W2897503931","doi":"10.1121/1.5068126","title":"An improved Gaussian beam caustic correction for Bellhop at low frequencies","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Beamwidth; Caustic (mathematics); Beam (structure); Gaussian; Gaussian beam; Ray tracing (physics); Geometrical acoustics; Curvature; Physics; Amplitude; Optics; Mathematics; Acoustics; Mathematical analysis; Geometry; Computer science; Telecommunications; Quantum mechanics","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":[0.001907381,0.001300523,0.001081612,0.001339201,0.0007224741,0.001334588,0.002516372,0.00188551,0.004578247],"category_scores_gemma":[0.004333701,0.0006236953,0.001479725,0.001486516,0.0009744778,0.002012954,0.00181977,0.002763516,0.001685219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144135,"about_ca_system_score_gemma":0.003020421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007954,"about_ca_topic_score_gemma":0.01052195,"domain_scores_codex":[0.9986998,0.0001955208,0.00004886141,0.0001561501,0.0007860806,0.0001135474],"domain_scores_gemma":[0.9981792,0.0004119545,0.0001076677,0.0003665926,0.0008546094,0.00007993486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005262219,0.0002677186,0.003264772,0.0004405897,0.0001596288,0.0006726893,0.0007878146,0.1881803,0.1280677,0.1378246,0.0184675,0.5213405],"study_design_scores_gemma":[0.00003339925,0.00005731504,0.0006139259,0.00002585683,0.00003818317,0.0002063525,0.00004353999,0.9544117,0.02607741,0.004891221,0.01352509,0.00007594565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004132353,0.0001146292,0.9933915,0.00009047346,0.00008108914,0.00003981791,0.00003711629,0.0008111764,0.001301866],"genre_scores_gemma":[0.0614861,0.0002293908,0.9340437,0.0001563866,0.00003707744,0.0000824885,0.0001644287,0.000535197,0.00326524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007954,"threshold_uncertainty_score":0.0200417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676755717088945,"score_gpt":0.2633975933532285,"score_spread":0.246630036182339,"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."}}