{"id":"W3116488671","doi":"10.1121/10.0002922","title":"Quantifying the contribution of ship noise to the underwater sound field","year":2020,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ambient noise level; Acoustics; Noise (video); Coherence (philosophical gambling strategy); Underwater acoustics; Sound power; Underwater; Geology; Spectral density; Noise floor; Environmental science; Noise measurement; Computer science; Physics; Noise reduction; Sound (geography); Telecommunications; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001371209,0.0001148116,0.0002554835,0.00001140299,0.0003636125,0.00005012692,0.001333612,0.00004863392,0.000317468],"category_scores_gemma":[0.0007065612,0.00004041971,0.0003010389,0.0003567089,0.0006005403,0.00007115643,0.0001384103,0.0006504886,0.00002480251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001192424,"about_ca_system_score_gemma":0.0001020384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004040234,"about_ca_topic_score_gemma":0.00003355505,"domain_scores_codex":[0.9979273,0.0003903165,0.000430901,0.00009063227,0.0008473541,0.0003135152],"domain_scores_gemma":[0.9967347,0.002319873,0.0002977485,0.0002806206,0.0002384589,0.0001285794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001292649,0.00009479866,0.01791364,0.0001035785,0.0006283885,0.00000393735,0.009874642,0.8438488,0.02383089,0.00001131011,0.08569268,0.01670464],"study_design_scores_gemma":[0.0004561826,0.001110509,0.01020103,0.00006403524,0.0003673597,0.0000490814,0.006271774,0.9671007,0.007667862,0.002394942,0.004161141,0.0001553524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06187147,0.0002680539,0.8048942,0.1323245,0.0002004262,0.0002869993,0.00003022882,0.000005880439,0.0001182382],"genre_scores_gemma":[0.9891364,0.0001532038,0.002776158,0.007666669,0.0002384922,2.645415e-7,0.000001019008,0.000004431433,0.00002335331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9272649,"threshold_uncertainty_score":0.3476051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05049930453910016,"score_gpt":0.2897058593512272,"score_spread":0.239206554812127,"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."}}