{"id":"W2044142677","doi":"10.1121/1.1502897","title":"Effects of incoherent and coherent source spectral information in geoacoustic inversion","year":2002,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Inversion (geology); Probability density function; Acoustic source localization; Posterior probability; Gibbs sampling; Computer science; Bayesian probability; Marginal distribution; Sampling (signal processing); Acoustics; Statistics; Acoustic wave; Mathematics; Geology; Random variable; Physics; Artificial intelligence; Telecommunications","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":[0.0004633265,0.0000966767,0.0002377298,0.00004445586,0.00008504104,0.00001734881,0.0003792727,0.00005314567,0.0001943019],"category_scores_gemma":[0.0001839505,0.00004990428,0.0001188906,0.0002685498,0.000561711,0.0001674894,0.00006882128,0.0004074605,0.000006580939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002251361,"about_ca_system_score_gemma":0.00003293921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005299327,"about_ca_topic_score_gemma":0.000008526338,"domain_scores_codex":[0.9985219,0.0001802864,0.0004090655,0.00005133542,0.0006159319,0.0002214407],"domain_scores_gemma":[0.998472,0.0009001603,0.0003304674,0.0001222233,0.00008751934,0.0000876393],"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":[0.0003143527,0.0002309159,0.02178955,0.0007000268,0.0001761685,0.000002913711,0.007223472,0.8306829,0.01021079,5.53703e-7,0.009758939,0.1189094],"study_design_scores_gemma":[0.0005323914,0.0004151917,0.02720241,0.00009340131,0.00008934798,0.00002169368,0.001106632,0.9690943,0.0009755049,0.0002102361,0.0001962841,0.00006260078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7744796,0.0007228808,0.2221814,0.001826258,0.0001708374,0.0003799147,0.0000132157,0.000006005065,0.0002199214],"genre_scores_gemma":[0.9945273,0.0008190546,0.004339385,0.0002472966,0.00003768786,1.623945e-7,5.711528e-7,0.000002405332,0.00002610937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2200478,"threshold_uncertainty_score":0.2127469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009751128894907413,"score_gpt":0.2093359882386331,"score_spread":0.1995848593437257,"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."}}