{"id":"W6960841483","doi":"10.1371/journal.pone.0014042.t001","title":"Levels of nuclear microsatellite genetic diversity (11 loci) for regional peregrine falcon sample locations.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsatellite; Genetic diversity; Falcon; Sample (material); Allele; Genetic monitoring; Diversity (politics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008037933,0.0001958362,0.0002892366,0.00002194116,0.0003165156,0.00003901007,0.0007074372,0.0001790734,0.03450505],"category_scores_gemma":[0.0008608365,0.00008568857,0.0001212577,0.0001256901,0.00003840805,0.00005296731,0.0009382885,0.000138938,0.0001185619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005475638,"about_ca_system_score_gemma":0.00003666807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009875472,"about_ca_topic_score_gemma":0.001849123,"domain_scores_codex":[0.9987651,0.00004588747,0.0001881725,0.0003362815,0.0003678014,0.0002967193],"domain_scores_gemma":[0.9986147,0.0005475262,0.0001736515,0.0001131707,0.0004363608,0.0001145795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001687702,0.0000394519,0.00002978824,0.0002086342,0.00002848495,0.000002803286,0.00001326168,8.389946e-7,0.000151416,5.535778e-7,0.998092,0.001415883],"study_design_scores_gemma":[0.0001013749,0.0001203978,0.01545376,0.0002674074,0.00001370325,0.000003736417,0.00005032896,0.000002859272,0.00001623604,0.00005966512,0.9837238,0.0001866923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003113487,0.0006501326,4.519789e-8,0.0001968091,0.00001916312,0.0003912179,0.9984006,0.00001916001,0.00001153282],"genre_scores_gemma":[0.0001977136,0.00012343,0.00007013746,0.0001025307,0.0002421153,0.00003991848,0.9991462,5.805184e-7,0.00007739112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03438649,"threshold_uncertainty_score":0.9663776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977787083357428,"score_gpt":0.2958964689761563,"score_spread":0.09811776064041355,"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."}}