{"id":"W2469457671","doi":"10.1139/cjm-2016-0229","title":"Estimating genetic structure and diversity of cyanobacterial communities in Atlantic forest phyllosphere","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Phyllosphere; Biology; Botany; Species richness; Cyanobacteria; Ecology; Rainforest; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008159105,0.00006363398,0.0001613876,0.00004387421,0.00006606249,0.000005541194,0.0001844666,0.00005921771,0.0005576411],"category_scores_gemma":[0.00002190723,0.00004544095,0.00002157814,0.00003891818,0.0002264009,0.00005594837,0.0001233537,0.0000690389,0.000002835024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126435,"about_ca_system_score_gemma":0.00004682356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0446464,"about_ca_topic_score_gemma":0.8052481,"domain_scores_codex":[0.9995008,0.0000631334,0.0001993679,0.00005184739,0.0000173119,0.0001675694],"domain_scores_gemma":[0.9996204,0.00004793084,0.000143601,0.00007506827,0.000009672652,0.0001032683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009520852,0.000001963719,0.9647434,0.000008813783,0.000006365235,0.00001706333,0.0004011208,0.0003007845,0.03336947,0.00000366821,0.00004593671,0.001091901],"study_design_scores_gemma":[0.0006088616,0.000118055,0.9971423,0.0001162423,0.00001090267,0.0006887945,0.0001641973,0.000157886,0.0001669605,0.0003874967,0.000345525,0.00009276647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999488,0.00002755419,0.0001003292,0.00005345587,0.0001882175,0.00003879441,0.00007292932,7.009507e-7,0.00003002476],"genre_scores_gemma":[0.9992135,0.000005778588,0.0007286733,0.00001619279,0.00002119251,7.708374e-8,0.000002829366,0.000003686839,0.000008082271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7606016,"threshold_uncertainty_score":0.9617154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005244871289333537,"score_gpt":0.1622791243395447,"score_spread":0.1570342530502112,"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."}}