{"id":"W2081660684","doi":"10.1007/s00300-010-0932-7","title":"Antarctic DNA barcoding; a drop in the ocean?","year":2010,"lang":"en","type":"article","venue":"Polar Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; Sight Research UK","keywords":"DNA barcoding; Biology; Barcode; Marine life; Environmental DNA; Phylum; Ecology; Marine ecosystem; Evolutionary biology; Biodiversity; Ecosystem; Gene; Genetics","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":[0.03641344,0.001057203,0.001852244,0.002678271,0.001802166,0.006990877,0.003538194,0.007988161,0.0134917],"category_scores_gemma":[0.08229472,0.0005570711,0.0007350242,0.004391836,0.0101203,0.01416174,0.004392224,0.008862839,0.005076094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00535642,"about_ca_system_score_gemma":0.01138759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03583449,"about_ca_topic_score_gemma":0.04169439,"domain_scores_codex":[0.9889782,0.003144152,0.0008200796,0.001623794,0.004318548,0.001115291],"domain_scores_gemma":[0.8949945,0.04937201,0.005340422,0.005672704,0.03263893,0.01198144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004961312,0.00005015853,0.01291123,0.001795197,0.0001405646,0.0002777462,0.0009952334,0.000498485,0.002464859,0.05005258,0.3080503,0.6222675],"study_design_scores_gemma":[0.00004327477,0.0001041191,0.01167498,0.002513153,0.0000962479,0.0003294807,0.003178872,0.0007117633,0.00165364,0.04110193,0.9385055,0.00008691475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004946457,0.08327442,0.006463666,0.8845872,0.01015564,0.00003124608,0.002072166,0.0002558866,0.00821327],"genre_scores_gemma":[0.1378555,0.1913272,0.03455213,0.5893198,0.02032297,0.0002405205,0.002950931,0.000440577,0.02299055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03641344,"threshold_uncertainty_score":0.192575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053948048758094,"score_gpt":0.2208190051050908,"score_spread":0.2102795246175099,"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."}}