{"id":"W2516255137","doi":"10.1021/acs.est.6b02155","title":"Sensors in the Stream: The High-Frequency Wave of the Present","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":381,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council","keywords":"Environmental science","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":[0.0005031645,0.0003254557,0.0002553992,0.0009732341,0.0003859788,0.002120584,0.000343966,0.001023633,0.01636461],"category_scores_gemma":[0.000827971,0.0002928101,0.0001995662,0.001246112,0.0007588342,0.002943678,0.0008046972,0.0009713576,0.004012595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005664126,"about_ca_system_score_gemma":0.0005805345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113158,"about_ca_topic_score_gemma":0.001783856,"domain_scores_codex":[0.9996431,0.00004243983,0.0000135174,0.0000455923,0.0002309663,0.00002444407],"domain_scores_gemma":[0.9997298,0.00005298502,0.00003366603,0.00002547377,0.0001231482,0.00003499184],"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":[0.0002865511,0.00007930199,0.005558364,0.0007095293,0.00004965503,0.0004426751,0.000474027,0.002251482,0.2287651,0.05629692,0.1157222,0.5893641],"study_design_scores_gemma":[0.00003655207,0.0001362672,0.01126548,0.0003420844,0.00005568574,0.0008178454,0.0006986082,0.01534627,0.07326999,0.03628632,0.8616704,0.00007451603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09478772,0.04158875,0.4868528,0.04098227,0.006936407,0.000354236,0.005784478,0.01001655,0.3126969],"genre_scores_gemma":[0.39199,0.04253779,0.3494846,0.008035417,0.003695044,0.0002386029,0.003319059,0.001396174,0.1993032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01636461,"threshold_uncertainty_score":0.05474508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178296186545618,"score_gpt":0.208765547050394,"score_spread":0.1969825851849378,"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."}}