{"id":"W2593061433","doi":"","title":"Hierarchical spatial structuring of stream insect diversity through DNA barcoding","year":2014,"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; Churchill Northern Studies Centre; Government of Canada; Genome Canada; Ontario Genomics; Directorate for Biological Sciences; Ontario Genomics Institute","keywords":"Scholarship; Library science; Christian ministry; Diversity (politics); Government (linguistics); Political science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002171847,0.0002912083,0.0004768907,0.00006699439,0.0009655508,0.000007219083,0.001254914,0.0002317009,0.001763843],"category_scores_gemma":[0.00003063603,0.0002946861,0.0003021164,0.0001926821,0.0009233356,0.0002231273,0.002127667,0.000394594,0.0001229882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428452,"about_ca_system_score_gemma":0.000009102616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318265,"about_ca_topic_score_gemma":0.002320599,"domain_scores_codex":[0.9981854,0.0001398693,0.0001947711,0.0004522645,0.0007263472,0.0003013378],"domain_scores_gemma":[0.9988186,0.0001405826,0.0004795199,0.0004740176,0.00001588237,0.00007139506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001520253,0.0003500181,0.7644255,0.0006690291,0.0008493846,0.00005761288,0.05185175,0.0009806544,0.1625237,0.0003258837,0.006063003,0.01038317],"study_design_scores_gemma":[0.0005308171,0.0001418182,0.9866039,0.00005589462,0.0003152491,0.000001613885,0.007271038,0.00004476218,0.003623215,0.0004869823,0.0006285885,0.0002960775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873746,0.00005163721,0.0001224682,0.00009707676,0.0002551052,0.000270913,0.0001029408,0.00002918748,0.01169606],"genre_scores_gemma":[0.9971646,0.0002302738,0.001176736,0.00001901147,0.00004009371,1.264914e-7,0.0001210871,0.00001413164,0.001233923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2221784,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719243857020104,"score_gpt":0.2057135645291262,"score_spread":0.1885211259589252,"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."}}