{"id":"W4389083985","doi":"10.1121/10.0023337","title":"Enabling long-term soundscape observation via Ocean Networks Canada’s acoustic Northeast-Pacific infrastructure","year":2023,"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":"Dalhousie University; Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"Observatory; Submarine pipeline; Oceanography; Geology; Soundscape; Ocean observations; Ambient noise level; Underwater; Sound (geography); Remote sensing; Seismology","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":[0.001326523,0.0005392971,0.0002789693,0.002334963,0.001532762,0.002110742,0.000955021,0.0003886935,0.005599343],"category_scores_gemma":[0.003100612,0.0003157197,0.0002259489,0.005197427,0.0004264351,0.001269715,0.002591161,0.0009317846,0.001765115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004834491,"about_ca_system_score_gemma":0.02039071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.921675,"about_ca_topic_score_gemma":0.9572991,"domain_scores_codex":[0.9984623,0.00007385053,0.00004379385,0.0001972373,0.0009320835,0.0002907216],"domain_scores_gemma":[0.9953863,0.000242182,0.0003028933,0.0003680894,0.003177203,0.0005232403],"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":[0.0003939873,0.0001732585,0.282018,0.0006154458,0.0001917946,0.000555785,0.002766386,0.01077283,0.02322342,0.007233447,0.3333481,0.3387076],"study_design_scores_gemma":[0.00008810451,0.00008742821,0.461996,0.0004206471,0.0000738726,0.0001325168,0.0037472,0.03367269,0.008304995,0.002182067,0.4890739,0.0002204558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2737435,0.001648013,0.05888062,0.005502632,0.0006413226,0.001223809,0.3795959,0.01292558,0.2658387],"genre_scores_gemma":[0.6777108,0.002241181,0.1001354,0.001229493,0.0002698053,0.0008344467,0.1840382,0.00123809,0.03230251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07832503,"threshold_uncertainty_score":0.1575726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492811560760405,"score_gpt":0.2285343819811941,"score_spread":0.2136062663735901,"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."}}