{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832467,0.00025189,0.0003033373,0.001389761,0.0005797164,0.0004370694,0.0002130264,0.0002283009,0.0002960508],"category_scores_gemma":[0.0004463032,0.0001596065,0.0001597927,0.0007083346,0.000342758,0.0002308219,0.000350123,0.0001791793,0.0000768258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396856,"about_ca_system_score_gemma":0.0004426533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03633508,"about_ca_topic_score_gemma":0.08278887,"domain_scores_codex":[0.9997771,0.00001865552,0.00001384218,0.00007621149,0.00006284287,0.00005138897],"domain_scores_gemma":[0.9996914,0.00004069411,0.0001030271,0.00001599754,0.00009230954,0.00005658154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001205889,0.00004755019,0.8106911,0.00005041872,0.00004172622,0.0001104002,0.001345978,0.0001275844,0.1789372,0.00004220491,0.00002176016,0.008463443],"study_design_scores_gemma":[0.000001688526,0.0000307353,0.9977812,0.000003964932,0.00001005083,0.00005459865,0.0003165684,0.0002702328,0.001373744,0.00001110141,0.0001430372,0.000003053894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996467,0.00005902725,0.00009083197,0.000003172277,2.627537e-7,0.000004276324,0.00006646772,0.000001164361,0.0001280547],"genre_scores_gemma":[0.9990187,0.00009602281,0.0004891021,0.000006823517,9.123176e-7,0.000009715493,0.0002797155,0.000001348731,0.00009761871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03633508,"threshold_uncertainty_score":0.07224715,"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."}}