{"id":"W2345491763","doi":"10.1093/icesjms/fsv169","title":"Exploring the role of the physical marine environment in silver eel migrations using a biophysical particle tracking model","year":2015,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université Laval; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Diel vertical migration; Sargasso sea; Heading (navigation); Oceanography; Compass; Range (aeronautics); Environmental science; Fishery; Ocean current; Hydrography; Continental shelf; Geology; Geography; Biology; Geodesy; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003002597,0.0004802041,0.0003869942,0.0003118835,0.0004018027,0.0009020297,0.0006161339,0.0009378971,0.000692411],"category_scores_gemma":[0.0009389307,0.00031701,0.0006918329,0.0002571143,0.0003800329,0.0004632321,0.0003888608,0.0004371973,0.00008560407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286756,"about_ca_system_score_gemma":0.0008610463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07622394,"about_ca_topic_score_gemma":0.02561451,"domain_scores_codex":[0.9999348,0.00002196096,0.000004218872,0.00001484848,0.000007613992,0.00001658627],"domain_scores_gemma":[0.9996062,0.0002178523,0.00006141139,0.00002042718,0.00005083493,0.00004333549],"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":[0.00002180689,0.00002829183,0.005352441,0.000004757375,0.00001659067,0.00002996283,0.00001028057,0.9932889,0.0005909649,0.0002040809,0.00003080544,0.0004211065],"study_design_scores_gemma":[0.000006763599,0.00001779473,0.00114287,0.000001306459,0.000007322414,0.000002704334,0.000007496624,0.998664,0.00006856507,0.0000505731,0.00002753687,0.000003154823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828702,0.00004659293,0.01550709,0.0001045318,0.00001568394,0.00001767836,0.0001524449,0.00005290286,0.001233],"genre_scores_gemma":[0.9973091,0.00003780091,0.001938019,0.00001856474,0.000003440497,0.00001641991,0.0001000141,0.000006708843,0.0005699972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07622394,"threshold_uncertainty_score":0.1515605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07316888891759307,"score_gpt":0.2869353036012913,"score_spread":0.2137664146836983,"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."}}