{"id":"W4405099251","doi":"10.22215/etd/2024-16348","title":"Mass-Spectrometry and Genomic Approaches to Investigating Cyanopeptides in Environmental Samples and Cultured Microcystis","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microcystis; Microcystis aeruginosa; Cyanobacteria; Bloom; Microcystin; Bay; Strain (injury); Chemistry; Environmental chemistry; Biology; Food science; Botany; Ecology; Bacteria; Genetics","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":[0.0003283453,0.0003775556,0.0002885388,0.0008123136,0.0003936722,0.0006836291,0.0003348218,0.0004321344,0.0007515391],"category_scores_gemma":[0.0004748704,0.0002110383,0.0003453552,0.0009104125,0.0003262348,0.0003527474,0.000416198,0.0006388958,0.0003522949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152574,"about_ca_system_score_gemma":0.0004899393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495944,"about_ca_topic_score_gemma":0.006031918,"domain_scores_codex":[0.9997137,0.00002740822,0.0000188465,0.0001011942,0.0001060788,0.00003279021],"domain_scores_gemma":[0.9997265,0.0000614965,0.00008467834,0.00002249705,0.00008013255,0.00002471902],"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":[0.00002670733,0.00002693719,0.003615413,0.00005444597,0.00001293536,0.00006678626,0.00008489758,0.0001295923,0.9909532,0.0001350636,0.00004583499,0.004848174],"study_design_scores_gemma":[0.000007579308,0.0002754111,0.07165523,0.00003203546,0.00006141609,0.0006946527,0.0006808541,0.003041493,0.9183625,0.0005519125,0.004610551,0.00002645857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579747,0.002042889,0.03232777,0.000335658,0.00005404551,0.0002085842,0.003226516,0.0001742002,0.003655607],"genre_scores_gemma":[0.8798452,0.004172245,0.10488,0.0005150376,0.00004521916,0.0005091449,0.003183664,0.00008926103,0.006760239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002495944,"threshold_uncertainty_score":0.004962862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971831415841384,"score_gpt":0.2093906078129495,"score_spread":0.1796722936545357,"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."}}