{"id":"W2080318223","doi":"10.1016/j.ejop.2012.08.006","title":"Using DNA-barcoding for sorting out protist species complexes: A case study of the Nebela tincta–collaris–bohemica group (Amoebozoa; Arcellinida, Hyalospheniidae)","year":2012,"lang":"en","type":"article","venue":"European Journal of Protistology","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; DNA barcoding; Taxonomy (biology); Protist; Testate amoebae; Phylogenetic tree; Zoology; Species complex; Systematics; Ecology; Evolutionary biology; Botany; Peat; Genetics; Gene","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":[0.001012699,0.0003758003,0.0001931819,0.00159059,0.001598447,0.000749007,0.0008345171,0.001053983,0.001098035],"category_scores_gemma":[0.001680811,0.0002033599,0.0002930268,0.001025314,0.001197002,0.0006011568,0.000789921,0.0003484182,0.0002708564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185397,"about_ca_system_score_gemma":0.0004832393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389656,"about_ca_topic_score_gemma":0.04882824,"domain_scores_codex":[0.9994525,0.0001780567,0.00003602983,0.00009500294,0.0001277768,0.0001106558],"domain_scores_gemma":[0.9993987,0.0002430731,0.0001054268,0.00006488663,0.0001228901,0.00006508645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002978975,0.0006591048,0.6505468,0.0003968625,0.0001061397,0.03579127,0.0206597,0.0005631744,0.1245158,0.0009857088,0.000354016,0.1651236],"study_design_scores_gemma":[0.00003385223,0.001126119,0.8142381,0.0002345064,0.0003623682,0.05955544,0.0540602,0.006647093,0.05281306,0.001493605,0.009326154,0.0001095371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972708,0.0001705207,0.001370982,0.0000596718,0.000005432301,0.00003237311,0.00003433641,0.000004716394,0.001051187],"genre_scores_gemma":[0.9919993,0.0003302529,0.006802706,0.00003944165,0.000005260432,0.00001255194,0.00005556519,0.000008035649,0.0007470128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01389656,"threshold_uncertainty_score":0.02763134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07523298936285634,"score_gpt":0.2894123307073388,"score_spread":0.2141793413444825,"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."}}