{"id":"W2010887078","doi":"10.1121/1.4783604","title":"Source amplitude spectral information in matched-field localization.","year":2009,"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":"University of Victoria","funders":"","keywords":"Amplitude; Noise (video); Phase (matter); Monte Carlo method; Acoustics; Range (aeronautics); Computer science; SIGNAL (programming language); Sampling (signal processing); Algorithm; Mathematics; Statistics; Physics; Optics; Telecommunications; Artificial intelligence","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":[0.002230633,0.000603307,0.0005430671,0.001327283,0.0004648203,0.0008290372,0.0007473921,0.001208307,0.002979588],"category_scores_gemma":[0.009013428,0.0003263431,0.0003275122,0.001132343,0.000966915,0.002660456,0.001269073,0.0004472389,0.001434649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177612,"about_ca_system_score_gemma":0.0003763866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007952641,"about_ca_topic_score_gemma":0.0008812883,"domain_scores_codex":[0.9991709,0.0003175982,0.00003222582,0.0001334893,0.000307628,0.0000381446],"domain_scores_gemma":[0.9981843,0.00133711,0.0001074758,0.0001756158,0.0001643911,0.00003107401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005581126,0.0001000804,0.00187003,0.0004361773,0.0000995301,0.0002424495,0.0002042681,0.2354853,0.02685586,0.09914603,0.001870941,0.6331312],"study_design_scores_gemma":[0.00008103756,0.0002733227,0.001778694,0.0001454638,0.00009211722,0.001000608,0.0001111353,0.7906031,0.03979154,0.1512717,0.0147469,0.0001043518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005632194,0.0008034515,0.9911033,0.0001165648,0.00006059994,0.00002712602,0.00002667207,0.000140091,0.002090021],"genre_scores_gemma":[0.327204,0.002029334,0.6655529,0.0002255075,0.000206092,0.0001081444,0.0002181595,0.0001008749,0.004355012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002979588,"threshold_uncertainty_score":0.01179683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011416112779182,"score_gpt":0.2439188774865445,"score_spread":0.2325027647073625,"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."}}