{"id":"W1979215220","doi":"10.1007/s12526-010-0056-x","title":"Biodiversity and phylogeography of Arctic marine fauna: insights from molecular tools","year":2010,"lang":"en","type":"article","venue":"Marine Biodiversity","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Phylogeography; Biodiversity; Biology; Arctic; Ecology; Biogeography; Marine invertebrates; Genetic diversity; Population; Phylogenetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002088637,0.0002848439,0.0003318157,0.004379233,0.0005573526,0.001045277,0.0003119724,0.0003509163,0.0007317816],"category_scores_gemma":[0.00432235,0.0002229593,0.0002902336,0.002899905,0.0009622597,0.001286216,0.0007374553,0.0004953017,0.00007962652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004442921,"about_ca_system_score_gemma":0.0005236596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0052942,"about_ca_topic_score_gemma":0.009272099,"domain_scores_codex":[0.9991735,0.0005150791,0.00002859067,0.0001213101,0.0001130741,0.00004852725],"domain_scores_gemma":[0.9963799,0.002471603,0.0006119261,0.0001853857,0.000204742,0.0001463537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005756391,0.0001322645,0.7913421,0.0004381431,0.0009341765,0.0002406407,0.002508409,0.0143414,0.03125988,0.01432226,0.0003593385,0.1435457],"study_design_scores_gemma":[0.00001768959,0.00008884918,0.9637703,0.0002615812,0.0003180531,0.0005348438,0.001510951,0.01270644,0.002391594,0.01443435,0.003929352,0.00003587887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979514,0.00382729,0.01159819,0.0003310996,0.00001022077,0.000008437355,0.0005297972,0.00001117092,0.004169684],"genre_scores_gemma":[0.9919225,0.002009911,0.005464899,0.00006098778,0.00001910332,0.000009726946,0.000288324,0.000004932353,0.0002195804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0052942,"threshold_uncertainty_score":0.01104587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686578315683699,"score_gpt":0.1661501925634589,"score_spread":0.1594636142477752,"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."}}