{"id":"W6960456007","doi":"10.1371/journal.pone.0126309.t001","title":"AMOVA results for the partitioning of mtDNA of little brown bat (&lt;i&gt;M&lt;/i&gt;. &lt;i&gt;lucifugus&lt;/i&gt;) and northern long-eared bat (&lt;i&gt;M&lt;/i&gt;. &lt;i&gt;septentrionalis&lt;/i&gt;) variation across sample site types in eastern Canada and nDNA global F&lt;sub&gt;ST&lt;/sub&gt; across sample site types, as well as all sites.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mitochondrial DNA; Sample (material); Variation (astronomy); Genetic variation; Regional variation; mtDNA control region","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004494827,0.003410233,0.004508509,0.0007422914,0.003954872,0.001710972,0.003623277,0.002788101,0.005842195],"category_scores_gemma":[0.01253323,0.003320328,0.001353565,0.003306933,0.001965592,0.001911861,0.002686807,0.001530889,0.001518441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404239,"about_ca_system_score_gemma":0.004609926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01804538,"about_ca_topic_score_gemma":0.8312035,"domain_scores_codex":[0.9781997,0.001929393,0.004589901,0.004552568,0.005647715,0.005080754],"domain_scores_gemma":[0.9806852,0.005024184,0.004385639,0.003566691,0.004216681,0.002121578],"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":[0.001954338,0.0007872581,0.001412856,0.001375902,0.001846325,0.0002165731,0.0149085,0.000568037,0.003263073,0.0006799301,0.9708581,0.002129088],"study_design_scores_gemma":[0.005957498,0.0006517526,0.0160017,0.002729977,0.001053281,0.00007894805,0.001069686,0.0006148243,0.00014302,0.0006988804,0.9675608,0.003439665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04014432,0.03099448,0.00009262784,0.0007818585,0.001581954,0.004659815,0.9168904,0.0003856997,0.004468852],"genre_scores_gemma":[0.1611517,0.003212034,0.0004557229,0.0005664772,0.002446301,0.001247468,0.8255472,0.0004824311,0.004890709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.813158,"threshold_uncertainty_score":0.9993253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055712020221357,"score_gpt":0.2865558064687183,"score_spread":0.2559986862665047,"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."}}