{"id":"W1559163886","doi":"","title":"Using sediment porosity as an effective geoacoustic parameter for sonar performance prediction","year":2002,"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":"Porosity; Seabed; Sonar; Reverberation; Geology; Acoustics; Sediment; Geotechnical engineering; Geomorphology; 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":[0.0005841781,0.000865324,0.0004012947,0.0007924949,0.0001906375,0.0008539899,0.0004361547,0.0005135828,0.0002781468],"category_scores_gemma":[0.004010689,0.0003203013,0.0002569748,0.0004881411,0.0004365979,0.0012388,0.0003970141,0.0004301198,0.0002212322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297344,"about_ca_system_score_gemma":0.0002742185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413179,"about_ca_topic_score_gemma":0.001363753,"domain_scores_codex":[0.9996629,0.00008658392,0.00002794343,0.00005350548,0.0001307614,0.00003843017],"domain_scores_gemma":[0.9982332,0.0009143565,0.000323273,0.0001683353,0.0003237382,0.00003693959],"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":[0.0002514867,0.00009159628,0.02534349,0.0001714413,0.00008663756,0.0003323213,0.0001218368,0.6846508,0.1806443,0.00135978,0.0002275872,0.1067186],"study_design_scores_gemma":[0.000007409293,0.0001415733,0.007162398,0.00001597505,0.0000435789,0.000174777,0.00003408756,0.8951053,0.09615746,0.000750843,0.0003553562,0.00005140043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4878919,0.000371499,0.5091261,0.00007038566,0.00002570978,0.00003000989,0.000194745,0.001128031,0.001161649],"genre_scores_gemma":[0.9789352,0.0001503103,0.02060666,0.000004126921,0.000005642694,0.00001345147,0.00007684107,0.0000340371,0.0001739259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413179,"threshold_uncertainty_score":0.003089488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580547765064199,"score_gpt":0.2532670998289284,"score_spread":0.2074616221782864,"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."}}