{"id":"W2138457412","doi":"10.1371/journal.pone.0089820","title":"Identifying Modeled Ship Noise Hotspots for Marine Mammals of Canada's Pacific Region","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Ocean Energy Management; Raincoast Conservation Foundation; Marisla Foundation","keywords":"Marine mammal; Habitat; Continental shelf; Oceanography; Marine protected area; Geography; Fishery; Marine habitats; Hotspot (geology); Environmental science; Ecology; Geology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271333,0.0001247149,0.0002811654,0.00001728925,0.00010332,0.00001014118,0.0002161851,0.00003356256,0.0004670196],"category_scores_gemma":[0.0001537675,0.0001211397,0.00004720163,0.0001287855,0.00004902256,0.00007826722,0.0003500008,0.00005934993,0.00002060814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673139,"about_ca_system_score_gemma":0.00001480649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1685258,"about_ca_topic_score_gemma":0.403872,"domain_scores_codex":[0.9987713,0.00003350488,0.0002405065,0.0002630999,0.0004009311,0.0002906481],"domain_scores_gemma":[0.9994006,0.00008676558,0.000129233,0.0002752352,0.0000221533,0.00008607783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003011584,0.001162578,0.9327185,0.001373023,0.0002982713,0.00001133023,0.000287344,0.0002290464,0.0254772,0.001322202,0.01292127,0.02389809],"study_design_scores_gemma":[0.001119281,0.000293387,0.9596903,0.0002085789,0.0002354431,0.000002544096,0.00009460267,0.0135327,0.01569731,0.004155087,0.004393098,0.0005776705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689283,0.00003537419,0.0004302261,0.0005221166,0.00002498974,0.0004343962,0.000007653216,0.00002307947,0.0295938],"genre_scores_gemma":[0.9936544,0.00006784906,0.002810925,0.0001313689,0.00004155638,0.00005570087,0.000005428357,0.00001843144,0.003214309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2353463,"threshold_uncertainty_score":0.8370111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768665742644553,"score_gpt":0.2149074513533271,"score_spread":0.1572207939268816,"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."}}