{"id":"W1565363998","doi":"","title":"SWAMI and ASSA for geoacoustic inversion","year":2004,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reverberation; Simulated annealing; Inversion (geology); Sonar; Sonar signal processing; Acoustics; Geology; Waves and shallow water; Simplex algorithm; Marine mammals and sonar; Simplex; Computer science; Signal processing; Algorithm; Mathematics; Seismology; Geometry; Physics; Telecommunications; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543672,0.001030954,0.0009769682,0.001402838,0.0008048011,0.001376093,0.002092605,0.0009956022,0.2447405],"category_scores_gemma":[0.004493671,0.0004697559,0.0006861335,0.001703424,0.0002804761,0.002055091,0.002078742,0.001499766,0.128855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007918359,"about_ca_system_score_gemma":0.002298272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054421,"about_ca_topic_score_gemma":0.01550252,"domain_scores_codex":[0.9990933,0.0001357685,0.00004616062,0.000160913,0.00047538,0.00008853804],"domain_scores_gemma":[0.9983525,0.0002181887,0.00008627865,0.0003124122,0.00083732,0.0001931954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002778695,0.00006214374,0.001664708,0.0003021282,0.00006501704,0.0002984689,0.0003381828,0.006151477,0.01143249,0.05147667,0.6469228,0.281008],"study_design_scores_gemma":[0.00005528798,0.00002425012,0.0006298302,0.00003597421,0.00001558073,0.0001066354,0.00008106047,0.02815615,0.002710946,0.007739143,0.9604164,0.00002877939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01085722,0.002234274,0.4829839,0.008601557,0.007313129,0.0005829667,0.07168434,0.0723723,0.3433704],"genre_scores_gemma":[0.1197745,0.001906412,0.3940251,0.002056187,0.001531086,0.001214718,0.09300634,0.02190476,0.364581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2447405,"threshold_uncertainty_score":0.8187385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104645599943763,"score_gpt":0.224173156829282,"score_spread":0.2031267008298444,"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."}}