{"id":"W2603385437","doi":"","title":"Impact of taxonomic resolution on the detection of metacommunity patterns in freshwater invertebrates using DNA barcoding","year":2013,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Government of Ontario; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Christian ministry; DNA barcoding; Invertebrate; Genomics; Geography; Research council; Government (linguistics); Biology; Library science; Ecology; Political science; Genome; Computer science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01120352,0.0002793731,0.0002575257,0.0007820306,0.0005761948,0.001255858,0.0005458434,0.0004858139,0.001011092],"category_scores_gemma":[0.04184312,0.0003235133,0.0003186241,0.0007056977,0.0007975986,0.001296645,0.001857785,0.001053838,0.0003429122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488965,"about_ca_system_score_gemma":0.0002730091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724985,"about_ca_topic_score_gemma":0.004165851,"domain_scores_codex":[0.9891518,0.006398529,0.0004264092,0.001169229,0.002430385,0.0004236387],"domain_scores_gemma":[0.9495523,0.04104461,0.004329642,0.00193908,0.002537563,0.0005968108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004013041,0.0001368352,0.6746166,0.000316233,0.0002661359,0.0001833037,0.003383019,0.003612323,0.06520945,0.00130024,0.000950255,0.2496242],"study_design_scores_gemma":[0.00001561458,0.000689671,0.9149891,0.0004009944,0.0001722723,0.0005814551,0.002337246,0.01113539,0.06393903,0.002085388,0.003572046,0.00008185536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846401,0.001662966,0.007825534,0.00065451,0.00003839539,0.00004552223,0.0001557673,0.00002360145,0.004953641],"genre_scores_gemma":[0.9860875,0.0005091669,0.01235781,0.000266352,0.00001885196,0.00002955724,0.0001446342,0.00001104481,0.0005750628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120352,"threshold_uncertainty_score":0.05925065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923818467902148,"score_gpt":0.222637015925933,"score_spread":0.1933988312469115,"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."}}