{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002381884,0.001227085,0.001069086,0.002943224,0.001665172,0.001463656,0.002483863,0.0008077621,0.04174555],"category_scores_gemma":[0.009967822,0.0005900686,0.001446965,0.005704236,0.0006051764,0.0008798242,0.002104966,0.001532095,0.01576343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003303116,"about_ca_system_score_gemma":0.008889028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4443573,"about_ca_topic_score_gemma":0.6960709,"domain_scores_codex":[0.9986934,0.0002571228,0.0001574074,0.0004460507,0.0002493929,0.000196632],"domain_scores_gemma":[0.9960381,0.000999696,0.000354204,0.0006459939,0.00167889,0.0002830723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001103624,0.00003509523,0.02357545,0.0008823479,0.0003142997,0.00005227504,0.0006124965,0.0007348837,0.0003806644,0.001775311,0.9630683,0.008458549],"study_design_scores_gemma":[0.0003299256,0.00001775488,0.2297632,0.0006955401,0.0003941743,0.00009649778,0.001031454,0.0006410265,0.0004524522,0.001745004,0.7647551,0.00007796316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001686953,0.00007252998,0.0003283191,0.00008538708,0.00003500574,0.00003119214,0.9963398,0.000160551,0.001260312],"genre_scores_gemma":[0.007545272,0.00007781896,0.002158347,0.00009166334,0.00001052287,0.0003166521,0.9869652,0.0002428581,0.002591657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5556427,"threshold_uncertainty_score":0.8835418,"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."}}