{"id":"W2033851575","doi":"10.1007/s00227-007-0714-0","title":"Genetic structure of leopard shark (Triakis semifasciata) populations in California waters","year":2007,"lang":"en","type":"article","venue":"Marine Biology","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Biology; Philopatry; Leopard; Population; Genetic structure; Range (aeronautics); Effective population size; Genetic divergence; mtDNA control region; Zoology; Ecology; Genetic variation; Biological dispersal; Genetic diversity; Genetics; Demography; Haplotype; Allele","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":[0.0004160725,0.00017636,0.0002520976,0.00166816,0.0008859839,0.0005658514,0.0004968338,0.0003194621,0.001019726],"category_scores_gemma":[0.0008057292,0.0002665101,0.0001638275,0.0007785169,0.0009297392,0.0002638665,0.000464594,0.0002855947,0.0001401702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361016,"about_ca_system_score_gemma":0.0006707301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.112898,"about_ca_topic_score_gemma":0.2356702,"domain_scores_codex":[0.9996442,0.0000387432,0.00002272011,0.0001847751,0.0000575406,0.00005200561],"domain_scores_gemma":[0.9988183,0.0001702362,0.0003696736,0.00006567479,0.0002963176,0.0002796448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003161669,0.00009349201,0.9870828,0.00001533339,0.00006567328,0.00007933338,0.001837134,0.0002535915,0.006945259,0.00007670966,0.0001090963,0.003125368],"study_design_scores_gemma":[0.000006408195,0.00002853985,0.999298,0.00000251663,0.000008703142,0.00002491989,0.000405012,0.0001061578,0.00006712238,0.00001046115,0.00004000384,0.000002140734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997732,0.00001351135,0.00001249931,0.000004257912,5.47364e-7,0.000001309839,0.00003362254,0.000001137467,0.000159836],"genre_scores_gemma":[0.9997469,0.00001389615,0.00003329571,0.00000556915,0.000001016175,0.000002698881,0.00007469925,8.771406e-7,0.000121041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112898,"threshold_uncertainty_score":0.2244817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215615429620284,"score_gpt":0.2543659938709397,"score_spread":0.2422098395747369,"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."}}