{"id":"W2130818713","doi":"10.1121/1.1642628","title":"Echolocation signals of free-ranging killer whales (<i>Orcinus orca</i>) and modeling of foraging for chinook salmon (<i>Oncorhynchus tshawytscha</i>)","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Office of Naval Research","keywords":"Human echolocation; Chinook wind; Whale; Oncorhynchus; Acoustics; Fishery; Foraging; Fish <Actinopterygii>; Environmental science; Geology; Biology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007516968,0.0001558168,0.00007777649,0.000407119,0.0001128669,0.0001727482,0.0001535611,0.0001210356,0.0008101728],"category_scores_gemma":[0.0003227154,0.00008851005,0.0001116311,0.000254864,0.0001325735,0.0001212424,0.0001910852,0.00007077669,0.00007167883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686365,"about_ca_system_score_gemma":0.0001864544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03271715,"about_ca_topic_score_gemma":0.05196168,"domain_scores_codex":[0.9999603,0.000003550414,0.000002178225,0.00001066018,0.00001125749,0.00001215678],"domain_scores_gemma":[0.9998956,0.00002856122,0.00002277104,0.000004556384,0.00002593842,0.00002249965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007449999,0.0001285467,0.6940857,0.0001646006,0.00007786848,0.000480087,0.0008547088,0.004496165,0.2722777,0.0001778045,0.0004735882,0.02603825],"study_design_scores_gemma":[0.000005561665,0.0001200594,0.9896571,0.000003929702,0.0000222963,0.0001191237,0.000307277,0.005771186,0.003822271,0.00001865194,0.0001443207,0.000008136547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996705,0.00001163117,0.00009836792,0.000001955127,3.402183e-7,0.000001975591,0.00004418695,0.000002703693,0.0001684339],"genre_scores_gemma":[0.9993667,0.00002273339,0.0002188666,0.000003017612,5.156749e-7,0.000003829995,0.0001490524,0.000001858661,0.0002335331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03271715,"threshold_uncertainty_score":0.06505346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676020848312727,"score_gpt":0.2473317387979307,"score_spread":0.2305715303148035,"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."}}