{"id":"W2896556774","doi":"10.1121/1.5068556","title":"Orcasound lab: A soundscape analysis case study in killer whale habitat with implications for coastal ocean observatories","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Soundscape; Noise pollution; Environmental science; Broadband; Whale; Noise (video); Oceanography; Computer science; Remote sensing; Meteorology; Geology; Sound (geography); Geography; Telecommunications; Ecology; Noise reduction","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":[0.001871698,0.0004421654,0.0002471539,0.001048594,0.002499713,0.001572032,0.0009887833,0.001362161,0.001380718],"category_scores_gemma":[0.006666339,0.0001443357,0.000365116,0.001809011,0.001163692,0.001661884,0.002208345,0.0009829534,0.0003777151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812862,"about_ca_system_score_gemma":0.001654006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06984174,"about_ca_topic_score_gemma":0.2006647,"domain_scores_codex":[0.9985529,0.0004808881,0.00009074323,0.0001977115,0.0003867604,0.0002910598],"domain_scores_gemma":[0.9958926,0.001678223,0.0004031131,0.0004249791,0.0009770284,0.0006239632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008112891,0.001039689,0.6632442,0.0007407201,0.000208894,0.04052377,0.05483188,0.01312961,0.01940689,0.005823205,0.04428856,0.1559514],"study_design_scores_gemma":[0.0001082361,0.001306942,0.5408193,0.0005258027,0.0002399863,0.01359086,0.2445136,0.05975186,0.01044492,0.00751086,0.120901,0.0002865454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805025,0.0001897343,0.007470374,0.003485579,0.0001093794,0.0001873899,0.001417022,0.0003466334,0.006291352],"genre_scores_gemma":[0.9757636,0.0002841672,0.01732359,0.0006639033,0.00008408967,0.0001543912,0.001448941,0.0001807783,0.004096566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06984174,"threshold_uncertainty_score":0.1388704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225532605219856,"score_gpt":0.2921836923621167,"score_spread":0.2599283663099181,"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."}}