{"id":"W2624303148","doi":"10.1139/cjfas-2016-0291","title":"The robustness of Brownie tag return models to complex spatiotemporal dynamics evaluated through simulation analysis","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southeast Fisheries Science Center; National Oceanic and Atmospheric Administration","keywords":"Yellowfin tuna; Robustness (evolution); Thunnus; Computer science; Tuna; Statistics; Fishing; Econometrics; Estimation; Population; Fishery; Mathematics; Biology; Fish <Actinopterygii>; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008456323,0.000641932,0.0008302432,0.0008661023,0.0005818282,0.001031755,0.001008322,0.001001165,0.0007939273],"category_scores_gemma":[0.02824732,0.0003557419,0.0008194033,0.0005409069,0.0007489042,0.001253024,0.0008344782,0.0009856034,0.0001078486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615853,"about_ca_system_score_gemma":0.001302084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03549325,"about_ca_topic_score_gemma":0.01368439,"domain_scores_codex":[0.9986488,0.0007529125,0.00008323428,0.0002216837,0.0001226851,0.0001705972],"domain_scores_gemma":[0.9725931,0.0233319,0.001535601,0.001130143,0.001144591,0.0002645527],"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":[0.00008295017,0.00003460123,0.006032319,0.00001456235,0.00003378001,0.00001782008,0.00003277204,0.9908531,0.0002323563,0.001092453,0.00007479422,0.001498402],"study_design_scores_gemma":[0.00000883652,0.00004082218,0.0007304263,0.000005816863,0.000009400309,0.000004461471,0.00001729303,0.9982803,0.0002039494,0.0006399273,0.00005214041,0.000006681876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386826,0.0001654085,0.05838593,0.0002284986,0.00002221518,0.00009692278,0.0004025111,0.0002082252,0.00180772],"genre_scores_gemma":[0.9902382,0.00006668451,0.008986115,0.00002959316,0.000003680381,0.00007956832,0.0002220082,0.0000193727,0.0003547231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03549325,"threshold_uncertainty_score":0.07057333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06853915902438433,"score_gpt":0.2816448023511914,"score_spread":0.213105643326807,"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."}}