{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003294412,0.0004838096,0.0005256746,0.000157386,0.0002592577,0.0001063041,0.0004754949,0.000389751,0.00001295837],"category_scores_gemma":[0.001115839,0.0004504996,0.0001402262,0.0003864609,0.0002946608,0.00001991516,0.0008917573,0.0003249224,0.000011762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499429,"about_ca_system_score_gemma":0.0001341146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003615323,"about_ca_topic_score_gemma":0.0006174319,"domain_scores_codex":[0.9968399,0.0004563642,0.0006197685,0.0008916536,0.0003762628,0.0008160682],"domain_scores_gemma":[0.9982262,0.0002007109,0.0004417245,0.000658127,0.0001655106,0.0003076953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002443332,0.0001187028,0.8773811,0.00007764618,0.0002586649,0.0001437005,0.001708842,0.01475702,0.09486563,0.0001343518,0.008368628,0.002161265],"study_design_scores_gemma":[0.001337824,0.0004623666,0.9251126,0.00001572626,0.0001152017,0.0001450258,0.001496027,0.0003844326,0.01104306,0.001195873,0.0585718,0.0001200797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923757,0.0008442241,0.004197251,0.0001771747,0.0003568132,0.0007901098,0.0001230664,0.00003375624,0.001101953],"genre_scores_gemma":[0.993894,0.00007896748,0.002738624,0.0009172241,0.0001647153,0.00003983585,0.000798796,0.00005396711,0.001313823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08382256,"threshold_uncertainty_score":0.9997947,"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."}}