{"id":"W7071281914","doi":"","title":"Sequencing streams: a molecular approach for monitoring macroinvertebrate biodiversity and metacommunity dynamics in an agricultural landscape","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invertebrate; Metacommunity; Biodiversity; Environmental DNA; Species richness; Habitat; Aquatic ecosystem; Community structure; Taxonomic rank","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006122995,0.0003076383,0.0002827702,0.001595357,0.0004970258,0.0009157704,0.0004365447,0.0004518879,0.000549557],"category_scores_gemma":[0.001126341,0.0002400169,0.000250985,0.001399621,0.000253436,0.0004766201,0.0004752768,0.0005046122,0.0003730603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005161205,"about_ca_system_score_gemma":0.0007934342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122768,"about_ca_topic_score_gemma":0.05039283,"domain_scores_codex":[0.9995238,0.0000576274,0.00003121325,0.0001930962,0.0001496313,0.00004469835],"domain_scores_gemma":[0.9993278,0.00009274761,0.0002755348,0.0000375001,0.0001899585,0.0000764498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001704637,0.00009671507,0.3922896,0.0003752422,0.0001842308,0.000153553,0.001502483,0.001314633,0.4463575,0.00123167,0.00135582,0.1549681],"study_design_scores_gemma":[0.00002297538,0.0003758251,0.8764123,0.0001958295,0.0003135766,0.0004670789,0.001895641,0.01799357,0.08139799,0.001581934,0.01926973,0.00007350895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437013,0.001594381,0.04384085,0.0002891192,0.00003855393,0.0002114727,0.006064421,0.0003234827,0.003936463],"genre_scores_gemma":[0.7745602,0.002315232,0.2127675,0.0006671412,0.00005853476,0.0003304093,0.005292908,0.00007718965,0.003930895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01122768,"threshold_uncertainty_score":0.02232462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577875906243665,"score_gpt":0.2096925114093273,"score_spread":0.1939137523468906,"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."}}