{"id":"W2944057147","doi":"10.1002/ece3.5111","title":"Genetic population structure and demography of an apex predator, the tiger shark <i>Galeocerdo cuvier</i>","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Agence Nationale de la Recherche","keywords":"Population bottleneck; Apex predator; Population; Biology; Genetic diversity; Genetic structure; Ecology; Conservation genetics; Effective population size; Population genetics; Fishery; Ecosystem; Microsatellite; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003205072,0.0001349501,0.0001432642,0.0009291556,0.000351933,0.0004265631,0.0002853261,0.0002205128,0.0005226055],"category_scores_gemma":[0.0003901449,0.00008548546,0.0001634965,0.0004430277,0.0004223031,0.0001257541,0.0002718665,0.0001779461,0.00007535031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005147456,"about_ca_system_score_gemma":0.0001812977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01807221,"about_ca_topic_score_gemma":0.01974715,"domain_scores_codex":[0.9998965,0.00002132137,0.000005529749,0.00004216469,0.00001476187,0.00001968255],"domain_scores_gemma":[0.9997602,0.00004011494,0.00009397215,0.00001707343,0.00004676254,0.00004195243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001442939,0.00002975376,0.9861476,0.00001161345,0.00004636836,0.0001494873,0.0007778837,0.0009328005,0.00628395,0.00007088472,0.00009683795,0.005308569],"study_design_scores_gemma":[0.000003921512,0.00004678641,0.9983474,0.000004268709,0.000008963813,0.00008760698,0.0003274454,0.0009243722,0.0001139454,0.00001806115,0.0001133145,0.000003880526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998531,0.000007955646,0.0000394855,0.00000443598,5.061545e-7,9.45165e-7,0.00002119233,0.000001035773,0.00007128876],"genre_scores_gemma":[0.9997278,0.000008899503,0.0001254585,0.000003250985,8.905398e-7,0.000002633075,0.00007584558,4.851607e-7,0.00005479722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01807221,"threshold_uncertainty_score":0.03593403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002295041063082986,"score_gpt":0.1814123700611714,"score_spread":0.1791173289980884,"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."}}