{"id":"W7027989486","doi":"","title":"The Development and Application of Targeted eDNA Metabarcoding for Monitoring Freshwater and Marine AIS","year":2021,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental DNA; Aquatic ecosystem; Aquatic environment; Invasive species; Primer (cosmetics); Introduced species; Biodiversity; 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":[0.001420596,0.0008139392,0.00038354,0.001231435,0.000480698,0.001109007,0.0007846042,0.0007241388,0.0007066423],"category_scores_gemma":[0.001366597,0.0005156885,0.000663317,0.0006945268,0.0004762632,0.000601534,0.0008563608,0.000877983,0.0004458901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007006026,"about_ca_system_score_gemma":0.001717051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007105388,"about_ca_topic_score_gemma":0.02193236,"domain_scores_codex":[0.9990063,0.0001196172,0.00004878779,0.0003711418,0.0003861112,0.00006803546],"domain_scores_gemma":[0.9991729,0.0001653224,0.0001873669,0.00005444518,0.000348342,0.0000716259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009658102,0.000102486,0.03788596,0.0005558543,0.0001328418,0.0001609781,0.000553178,0.003364997,0.7872047,0.001571009,0.0007603825,0.1676109],"study_design_scores_gemma":[0.0000267169,0.001542977,0.1146797,0.0003824993,0.0004316712,0.0009621737,0.0008620433,0.04114134,0.7969444,0.001581277,0.04124511,0.0002001009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6159311,0.005983584,0.3599276,0.001301705,0.0002445816,0.0008847117,0.002587918,0.00107428,0.01206455],"genre_scores_gemma":[0.3830667,0.005446691,0.6008232,0.0005207717,0.00004420734,0.000372909,0.001598995,0.0001019389,0.008024569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007105388,"threshold_uncertainty_score":0.01412803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325678872472186,"score_gpt":0.2132588990601365,"score_spread":0.2000021103354147,"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."}}