{"id":"W3087443758","doi":"10.1139/cjm-2020-0306","title":"Crop, genotype, and field environmental conditions shape bacterial and fungal seed epiphytic microbiomes","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"College of Agriculture and Bioresources, University of Saskatchewan; Canada First Research Excellence Fund; Saskatchewan Canola Development Commission; Agriculture and Agri-Food Canada; Saskatchewan Pulse Growers","keywords":"Biology; Microbiome; Crop; Canola; Epiphyte; Genotype; Internal transcribed spacer; Genetic diversity; Microbial ecology; Amplicon sequencing; Phyllosphere; Botany; Agronomy; 16S ribosomal RNA; Ribosomal RNA; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003178513,0.0002342153,0.0002109072,0.0003314773,0.0002417144,0.0004783647,0.0001328038,0.0002022789,0.0006765078],"category_scores_gemma":[0.0004782209,0.0001182203,0.0001630946,0.0003323212,0.0001873169,0.0002728192,0.0002687484,0.0001957032,0.0001321075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437169,"about_ca_system_score_gemma":0.0003425278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006854352,"about_ca_topic_score_gemma":0.02030643,"domain_scores_codex":[0.99975,0.0000565616,0.00001691108,0.00008576165,0.00004834267,0.00004234963],"domain_scores_gemma":[0.9996895,0.00008452489,0.00008850625,0.00002689626,0.0000574289,0.00005312257],"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":[0.0002467018,0.00007301559,0.2410386,0.00007488531,0.00007525781,0.0001571352,0.0003489765,0.0001855024,0.7489904,0.00008527184,0.0001116083,0.008612665],"study_design_scores_gemma":[0.000002486907,0.00007872528,0.9927771,0.000004192494,0.00001453322,0.00006929279,0.0002078311,0.0003127006,0.006135782,0.0000310307,0.0003612991,0.000004969208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989564,0.000177824,0.0003168361,0.00001105396,0.000001925702,0.000006458976,0.0001706994,0.000005095087,0.0003537024],"genre_scores_gemma":[0.9988422,0.0001169224,0.0004622588,0.0000260521,0.000001410794,0.000006769988,0.0002876606,0.00000653381,0.0002502869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006854352,"threshold_uncertainty_score":0.0136289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009049182265548263,"score_gpt":0.1734526232929004,"score_spread":0.1644034410273521,"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."}}