{"id":"W3004484569","doi":"10.3390/toxins11120723","title":"Metabolome Variation between Strains of Microcystis aeruginosa by Untargeted Mass Spectrometry","year":2019,"lang":"en","type":"article","venue":"Toxins","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metabolome; Cyanobacteria; Microcystis aeruginosa; Metabolomics; Microcystin; Mass spectrometry; Microcystis; Chemistry; Biology; Chromatography; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671602,0.0003164586,0.0002533938,0.0006943412,0.0001985949,0.0004075214,0.0001546664,0.0002848306,0.0007004738],"category_scores_gemma":[0.0004813381,0.0001246615,0.0002345518,0.000480967,0.0002720659,0.0002637925,0.0004658436,0.0002148716,0.0001506267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708743,"about_ca_system_score_gemma":0.0001319199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943381,"about_ca_topic_score_gemma":0.003133883,"domain_scores_codex":[0.9995614,0.0000497924,0.00003039418,0.0001696917,0.000137908,0.00005086073],"domain_scores_gemma":[0.9997093,0.00006581361,0.00009391954,0.00003559789,0.00007174293,0.00002365585],"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":[0.0001092062,0.00001738954,0.005086561,0.00001891933,0.00002183934,0.0000253038,0.00003776912,0.00004773636,0.9926179,0.00001734733,0.00001549393,0.001984426],"study_design_scores_gemma":[0.00001098737,0.0005292001,0.5671285,0.00001055629,0.00008579053,0.0005017408,0.0002271336,0.001690023,0.4279579,0.0001607025,0.001669596,0.00002788059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946938,0.0004236375,0.00241574,0.00004148727,0.00001063898,0.00003143332,0.001812668,0.00004912758,0.0005213363],"genre_scores_gemma":[0.9922184,0.0002666677,0.004184412,0.00008025104,0.000008158383,0.0000676896,0.002072143,0.00003375637,0.001068524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001943381,"threshold_uncertainty_score":0.003864169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004654605138595341,"score_gpt":0.1963651393519399,"score_spread":0.1917105342133446,"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."}}