{"id":"W7017379805","doi":"","title":"Analysis of Cyanobacteria and its Abundance in the Turkey Lakes Watershed using Molecular Techniques","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water quality; Watershed; Algal bloom; Abundance (ecology); Water column; Surface water; Cyanobacteria; Bloom","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007735562,0.0002165346,0.0001990428,0.0009902796,0.0008183027,0.0004059279,0.0001692887,0.0001832869,0.0003677836],"category_scores_gemma":[0.000108541,0.0001369826,0.0001229471,0.001342089,0.0002758329,0.0001571158,0.000223252,0.0001469106,0.0001022876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290427,"about_ca_system_score_gemma":0.001228631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2762462,"about_ca_topic_score_gemma":0.5198128,"domain_scores_codex":[0.999856,0.000005438551,0.000008919636,0.00004152684,0.00005319713,0.00003491236],"domain_scores_gemma":[0.9999008,0.000005145214,0.00002561632,0.000001914811,0.00004471167,0.00002176414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002254881,0.000102495,0.7542289,0.00008134899,0.00002848177,0.0005570154,0.002263021,0.0002827087,0.2300654,0.00007268845,0.0002102247,0.0118822],"study_design_scores_gemma":[0.000002237856,0.00006124175,0.9955899,0.000003986667,0.000007985986,0.00006979722,0.000966722,0.0002832746,0.00254557,0.0000100613,0.0004545698,0.000004678263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986739,0.00007677886,0.00007157334,0.00001028805,0.000001218336,0.00001448136,0.0005195035,0.000004997594,0.000627287],"genre_scores_gemma":[0.9963361,0.0001833824,0.0009525291,0.00002559156,0.000002874864,0.00002998832,0.001111363,0.000003229169,0.001354996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2762462,"threshold_uncertainty_score":0.5492765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009071432518623425,"score_gpt":0.2091827578388359,"score_spread":0.2001113253202124,"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."}}