{"id":"W1969990044","doi":"10.1139/cjfas-2014-0471","title":"Modelling age-dependent movement: an application to red and gag groupers in the Gulf of Mexico","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Southeast Fisheries Science Center","keywords":"Grouper; Fishery; Population; Maximum sustainable yield; Spatial distribution; Serranidae; Submarine pipeline; Geography; Biology; Fisheries management; Oceanography; Fish <Actinopterygii>; Fishing; Geology; Remote sensing; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009472381,0.0002944862,0.0002828961,0.0004786562,0.0003981499,0.000382799,0.000753482,0.000680907,0.0007560804],"category_scores_gemma":[0.003156686,0.0002644798,0.0004395539,0.0004668803,0.0003068273,0.0004391464,0.0005364576,0.0002745615,0.00007703091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128782,"about_ca_system_score_gemma":0.0009202553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2459789,"about_ca_topic_score_gemma":0.2153409,"domain_scores_codex":[0.9998348,0.00006500615,0.000008805759,0.00005449065,0.00001495231,0.00002200811],"domain_scores_gemma":[0.9987575,0.0007180944,0.0003060937,0.00006914714,0.0001014849,0.00004774928],"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":[0.00007391621,0.00007738982,0.3281444,0.00002699052,0.000118294,0.0001415535,0.0003403583,0.6528884,0.0004485453,0.001161881,0.0003065979,0.0162718],"study_design_scores_gemma":[0.00002243428,0.00006624814,0.05185104,0.00001101688,0.00003295165,0.00003077665,0.0001945532,0.9465315,0.0001702699,0.0006334529,0.0004441122,0.00001168843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900208,0.00007144246,0.00925788,0.0001272832,0.000003319031,0.00001720217,0.0001991165,0.00004279553,0.0002601887],"genre_scores_gemma":[0.9855854,0.0001400182,0.0134015,0.00001863976,0.000004890103,0.00004804027,0.0002920752,0.00001022977,0.0004992425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2459789,"threshold_uncertainty_score":0.4890943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0419979605199139,"score_gpt":0.2500458425612227,"score_spread":0.2080478820413088,"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."}}