{"id":"W2091991857","doi":"10.1121/1.4868378","title":"Automated aural classification used for inter-species discrimination of cetaceans","year":2014,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Classifier (UML); Computer science; Artificial intelligence; Pattern recognition (psychology); Sperm whale; Bioacoustics; Training set; Humpback whale; Speech recognition; Whale; Biology; Fishery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008632076,0.0004572429,0.0004873013,0.001799959,0.000373428,0.0006201625,0.000420282,0.0004153997,0.001471479],"category_scores_gemma":[0.002722717,0.0001510615,0.0003397546,0.0005222161,0.0002018892,0.000449117,0.0004078837,0.0003123328,0.0009062245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508479,"about_ca_system_score_gemma":0.0003581163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987007,"about_ca_topic_score_gemma":0.002278464,"domain_scores_codex":[0.9992071,0.0001491279,0.00006712491,0.0002180702,0.0002790629,0.0000794396],"domain_scores_gemma":[0.9978649,0.0005921568,0.0002327085,0.0001991859,0.001019406,0.00009161096],"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":[0.0006132646,0.0003133252,0.06026813,0.0001734651,0.00008828021,0.0003045027,0.0002744145,0.007806599,0.1893672,0.0004204983,0.002113265,0.7382571],"study_design_scores_gemma":[0.00006813603,0.001420867,0.3531148,0.0000901939,0.0001725663,0.001378078,0.000569988,0.46571,0.1664938,0.001197467,0.009621857,0.0001624204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8222849,0.0005541518,0.1666903,0.0001321429,0.0001350139,0.0003193289,0.0006239784,0.002389561,0.0068708],"genre_scores_gemma":[0.9102932,0.0001691561,0.08608881,0.00005207907,0.00003869317,0.0001355289,0.0007032757,0.0000518337,0.002467457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001987007,"threshold_uncertainty_score":0.004922628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729743902318739,"score_gpt":0.2699293575792008,"score_spread":0.2426319185560135,"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."}}