{"id":"W1545550817","doi":"","title":"Determining Acoustic Scattering Properties of Marine Sediments through Bayesian Inversion","year":2010,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inversion (geology); Geology; Bayesian probability; Acoustics; Scattering; Environmental science; Remote sensing; Computer science; Seismology; Optics; Physics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001969132,0.0001825895,0.0001997408,0.0002515188,0.0002121955,0.00008733891,0.0004314559,0.0001448015,0.00263553],"category_scores_gemma":[0.0001434879,0.0001662683,0.00004084085,0.0002466592,0.0002757393,0.000225818,0.00004900822,0.0004109837,0.0001919546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003241,"about_ca_system_score_gemma":0.0005863534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09028758,"about_ca_topic_score_gemma":0.1975092,"domain_scores_codex":[0.9983766,0.00003092984,0.0002736321,0.0002723611,0.0003746087,0.0006718822],"domain_scores_gemma":[0.9988996,0.00005916594,0.00006908593,0.0003291708,0.0001232084,0.0005197351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002584189,0.00002128699,0.3007128,0.0003398498,0.00005513222,0.0001888118,0.0009226205,0.05538758,0.6148923,0.000004207987,0.001226555,0.02622298],"study_design_scores_gemma":[0.0004659193,0.0001645276,0.08186854,0.0001048529,0.00007666361,0.00006736329,0.0005112014,0.9033017,0.0117387,0.0003588336,0.0008233186,0.0005184516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836661,0.00001829716,0.008386528,0.0001507262,0.001036283,0.0002408437,0.00009440785,0.00003504995,0.006371724],"genre_scores_gemma":[0.9907936,0.0000195064,0.008280878,0.0002853645,0.0001538739,9.392912e-7,0.00005429782,0.00001420933,0.000397269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.847914,"threshold_uncertainty_score":0.9982762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620287811323086,"score_gpt":0.2254004369996953,"score_spread":0.1991975588864645,"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."}}