{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007515489,0.00009231945,0.00008162147,0.0001540887,0.0003007986,0.0000225535,0.001754365,0.00006321313,0.0006780587],"category_scores_gemma":[0.00006817289,0.00003135132,0.00002793277,0.0008324525,0.005515333,0.0001331064,0.000181815,0.0002081689,0.000106274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003936721,"about_ca_system_score_gemma":0.00004545462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006890834,"about_ca_topic_score_gemma":0.0005253556,"domain_scores_codex":[0.9982708,0.0001036151,0.000164828,0.0002751767,0.0007326219,0.000452983],"domain_scores_gemma":[0.9990842,0.0001798846,0.00006030902,0.0006382921,0.000004615955,0.00003269311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007574063,0.00006687527,0.8284389,0.000002304169,0.000005765011,0.00001832594,0.0005315615,0.001519193,0.1056625,0.0005450849,0.0000697995,0.06313217],"study_design_scores_gemma":[0.0002135953,0.000143457,0.9199169,0.00001169441,0.000005374689,0.00005626455,0.001623836,0.001469631,0.0630886,0.01253989,0.0008232775,0.0001074963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863961,0.00007385066,0.00008919127,0.01167255,0.00008316291,0.0003022451,0.0000351438,0.00001176129,0.001335956],"genre_scores_gemma":[0.9995172,0.00007370123,0.000152537,0.00005856598,0.00001660818,0.000004300058,8.079724e-7,0.000001848368,0.0001744394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09147801,"threshold_uncertainty_score":0.9971911,"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."}}