{"id":"W2037444374","doi":"10.1121/1.4877809","title":"Examining the impact of the ocean environment on cetacean classification using theocean acoustics and seismic exploration synthesis (OASES) propagation model","year":2014,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Bathymetry; Underwater; Computer science; Bioacoustics; Acoustics; Robustness (evolution); Classifier (UML); Environmental science; Soundscape; Habitat; Perception; Geology; Artificial intelligence; Oceanography; Ecology; Sound (geography); Telecommunications","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":[0.001114682,0.0004971633,0.0003082508,0.0003364841,0.0002275898,0.000603113,0.000300547,0.0005390204,0.0006664444],"category_scores_gemma":[0.005395562,0.0002060416,0.0003121601,0.0001670142,0.000307631,0.0005986827,0.0004975036,0.0005335219,0.0001664084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455339,"about_ca_system_score_gemma":0.0004973851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00971703,"about_ca_topic_score_gemma":0.007945463,"domain_scores_codex":[0.9997481,0.000048876,0.00001729443,0.00006383588,0.0000761773,0.00004581498],"domain_scores_gemma":[0.9974564,0.001954741,0.000152025,0.00009767607,0.0002717595,0.00006742396],"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":[0.000730042,0.0002790679,0.05576158,0.00006935084,0.0001199382,0.0001730531,0.00009797942,0.8360047,0.03042328,0.0002514997,0.0002085654,0.07588097],"study_design_scores_gemma":[0.000007891912,0.0002043017,0.009858961,0.000003380105,0.00001517311,0.00002426222,0.00002053408,0.9853436,0.004385051,0.00007557384,0.00005319211,0.000008025065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632887,0.00007607532,0.03564772,0.00007555122,0.00002073945,0.00003416215,0.00005768417,0.0001191875,0.0006802016],"genre_scores_gemma":[0.9913492,0.00006224825,0.007802291,0.00002404933,0.000005920358,0.00002004067,0.0001160597,0.00001294223,0.0006073125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00971703,"threshold_uncertainty_score":0.01932091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05812702762695109,"score_gpt":0.2657785474256215,"score_spread":0.2076515197986704,"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."}}