{"id":"W2084913905","doi":"10.1109/joe.2005.862127","title":"Estimates of geoacoustic model parameters from inversions of horizontal and vertical line array data","year":2005,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Geology; Inversion (geology); Broadband; Replica; Horizontal line test; Seismic array; Waves and shallow water; Acoustics; Simulated annealing; Seismology; Computer science; Oceanography; Algorithm; Telecommunications; Physics; Geometry","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":[0.0002895332,0.00009593519,0.0002454618,0.0001402076,0.000020232,0.00001767666,0.0003561249,0.00004943357,0.00004230453],"category_scores_gemma":[0.0001925763,0.00007855242,0.00003699872,0.00008962449,0.00006011251,0.0003058549,0.00002496101,0.0002402213,0.000001987094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008843004,"about_ca_system_score_gemma":0.00007224875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007820314,"about_ca_topic_score_gemma":0.00002425567,"domain_scores_codex":[0.9989688,0.00001185633,0.000380029,0.0001110012,0.0003407845,0.0001875613],"domain_scores_gemma":[0.9991274,0.0003868534,0.0000744694,0.0001822914,0.00006499798,0.0001639442],"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":[0.00003843266,0.00001978459,0.002285567,0.00003826836,0.00006827299,0.000009728912,0.00009320737,0.9267997,0.06966618,9.093914e-7,0.00006983752,0.0009100824],"study_design_scores_gemma":[0.0002994316,0.0001542518,0.002129937,0.00008756018,0.00007270381,0.00003495169,0.00003331143,0.9708416,0.02620268,0.00006808485,0.000004484078,0.00007104356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6806141,0.0003133261,0.3187971,0.00004160758,0.00008712072,0.00002778037,0.0001019538,0.000004272913,0.00001271516],"genre_scores_gemma":[0.9026334,0.0001358196,0.09712736,0.000006294082,0.00007844025,2.235386e-8,0.00001247457,0.000004760137,0.000001425609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220193,"threshold_uncertainty_score":0.3203275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043805168886002,"score_gpt":0.2549634384104162,"score_spread":0.2111582695244142,"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."}}