{"id":"W1532279497","doi":"","title":"A Bioinspired Approach to Sound Localization in the Underwater Coastal Environment","year":2007,"lang":"en","type":"article","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waves and shallow water; Human echolocation; Underwater; Water column; Bathymetry; Ambient noise level; Sound (geography); Seabed; Geology; Oceanography; Kelp forest; Shore; Kelp; Hydrophone; Turbidity; Environmental science; Acoustics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003706782,0.0005825498,0.0003728521,0.0007368483,0.0003932125,0.001982425,0.001175789,0.0009465773,0.002873428],"category_scores_gemma":[0.001066616,0.0002654193,0.0004481135,0.0007837497,0.001182234,0.001327218,0.001613057,0.0005285733,0.0008995038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751334,"about_ca_system_score_gemma":0.000430348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613974,"about_ca_topic_score_gemma":0.002105432,"domain_scores_codex":[0.9997124,0.00007211886,0.00001384831,0.0001221722,0.00005802036,0.0000214384],"domain_scores_gemma":[0.9996792,0.00008047983,0.00004043007,0.00008780596,0.00008881363,0.00002329815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001809438,0.0001901477,0.007236321,0.000802915,0.0001353741,0.0009290965,0.00117406,0.03747518,0.311688,0.07704666,0.002562986,0.5605783],"study_design_scores_gemma":[0.00009925288,0.001179196,0.03164182,0.0007372504,0.0002815985,0.003700334,0.003030433,0.5712005,0.1202402,0.1721125,0.09548169,0.0002952236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02728557,0.001691462,0.9591246,0.0004887246,0.0001407961,0.00004479116,0.00009784444,0.0004840052,0.01064219],"genre_scores_gemma":[0.383314,0.003427335,0.5982558,0.0003241118,0.0002461625,0.0001109914,0.0002276877,0.0001345232,0.01395947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002873428,"threshold_uncertainty_score":0.00961256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531674938139424,"score_gpt":0.2311742551970594,"score_spread":0.2058575058156652,"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."}}