{"id":"W4415522833","doi":"10.1021/acsomega.5c07322","title":"Chemodiversity of Cyanobacteria from Brazil Investigated by Metabolomics and Bioassays","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Cyanobacteria; Bioassay; Metabolomics; Metabolome; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022884,0.0001370935,0.0002549058,0.0000545044,0.00006802588,0.00001586664,0.000161454,0.0001257631,0.00000577023],"category_scores_gemma":[0.0001162573,0.0001324958,0.00004624147,0.0001530809,0.000183362,0.000004409058,0.0003235454,0.00005998159,0.00000151726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006832735,"about_ca_system_score_gemma":0.00003640389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00015212,"about_ca_topic_score_gemma":0.00002142062,"domain_scores_codex":[0.999293,0.00003027764,0.0001665705,0.0002963825,0.00006178991,0.0001520226],"domain_scores_gemma":[0.9995319,0.00001769264,0.00008324093,0.0002534465,0.00006353685,0.00005015412],"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":[0.00004554616,0.00003243112,0.01908714,0.00001122683,0.0002393893,2.983619e-7,0.00001905402,2.316679e-7,0.9667719,0.0005440881,0.01280973,0.0004389928],"study_design_scores_gemma":[0.0006410084,0.00004500221,0.01838688,0.00000529141,0.00007847713,3.926019e-7,0.00005163473,0.000004738797,0.9149708,0.0008282236,0.06485947,0.0001280434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928661,0.004641745,0.0001931857,0.0003913058,0.0001405579,0.00008503223,0.000326526,0.00000897069,0.001346553],"genre_scores_gemma":[0.9950177,0.002705404,0.001060488,0.0004393126,0.00002873806,0.00000349638,0.0002245582,0.000006983381,0.0005133291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05204974,"threshold_uncertainty_score":0.540302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004963275502593328,"score_gpt":0.2220816768868487,"score_spread":0.2171184013842553,"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."}}