{"id":"W1911940415","doi":"10.1111/mec.13245","title":"<scp>RAD</scp> genotyping reveals fine‐scale genetic structuring and provides powerful population assignment in a widely distributed marine species, the <scp>A</scp>merican lobster (<i><scp>H</scp>omarus americanus</i>)","year":2015,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":266,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Fisheries and Oceans Canada; Université Laval","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Population; Genetic structure; Range (aeronautics); Evolutionary biology; Population genetics; Ecology; Genetics; Genetic variation; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004101453,0.0001640305,0.0001976732,0.0009233327,0.0003311103,0.0004097283,0.0001874564,0.000247506,0.001430206],"category_scores_gemma":[0.000690866,0.0001203681,0.0001978921,0.0007805047,0.000438226,0.0001433572,0.0003353909,0.0003573667,0.0003644274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176569,"about_ca_system_score_gemma":0.0001788957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005476041,"about_ca_topic_score_gemma":0.01687415,"domain_scores_codex":[0.9997218,0.00004990566,0.00001703373,0.0001380657,0.00004530055,0.00002781475],"domain_scores_gemma":[0.9995748,0.0001270593,0.0001393024,0.0000729492,0.00005049122,0.00003531652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003074867,0.00006826982,0.6707764,0.000123857,0.0001520565,0.0003578007,0.001508065,0.001511369,0.2687185,0.0005374914,0.0006096143,0.05532903],"study_design_scores_gemma":[0.000005389976,0.0000497213,0.9910892,0.00001315601,0.00003873735,0.000208485,0.0001965074,0.00141689,0.005660638,0.0001201906,0.001194425,0.000006616652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960927,0.00006541549,0.002326587,0.00002036746,0.00000224083,0.000006725333,0.0005570587,0.00003240149,0.0008963568],"genre_scores_gemma":[0.9949439,0.00003527421,0.003888371,0.00002909802,0.000002671436,0.00001325963,0.0007133105,0.00001011496,0.0003638704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005476041,"threshold_uncertainty_score":0.01088828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009781164428908033,"score_gpt":0.2120149434917045,"score_spread":0.2022337790627965,"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."}}