{"id":"W4213257053","doi":"10.1002/its2.118","title":"The creeping bentgrass microbiome: Traditional culturing and sequencing results compared with metagenomic techniques","year":2022,"lang":"en","type":"article","venue":"International Turfgrass Society research journal","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Metagenomics; Biology; Phylogenetic tree; Microbiome; DNA sequencing; Deep sequencing; Internal transcribed spacer; Taxon; Illumina dye sequencing; Evolutionary biology; Ecology; Genetics; Genome; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001698089,0.0001149615,0.0000909664,0.00005431164,0.00193821,0.0003195172,0.0004723196,0.00003868803,0.00001756043],"category_scores_gemma":[0.00008860841,0.00008264765,0.0001403164,0.000117611,0.0002362273,0.00001694223,0.000306454,0.0005854352,6.410935e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366228,"about_ca_system_score_gemma":0.0002391095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001571261,"about_ca_topic_score_gemma":0.00001481885,"domain_scores_codex":[0.9982529,0.0002305215,0.0002383075,0.0002665351,0.0006877671,0.0003239334],"domain_scores_gemma":[0.9992195,0.0001098898,0.0001182423,0.000124368,0.0003058237,0.0001222083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000418348,0.00005354372,0.0009258988,0.000005399636,0.0003857641,0.00003971975,0.0001602361,0.0002428474,0.9736381,0.0002224443,0.02296581,0.0009418785],"study_design_scores_gemma":[0.004705881,0.001713882,0.035105,0.0002024279,0.000103945,0.0108177,0.01673624,0.003180937,0.1160331,0.002205428,0.8080747,0.001120829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894173,0.002407113,0.00060428,0.002863032,0.000247371,0.0002931664,0.002086168,0.00002096279,0.002060667],"genre_scores_gemma":[0.9952796,0.001392656,0.00165463,0.000158966,0.0004897143,0.00005077931,0.0004162449,0.00001658306,0.0005408553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.857605,"threshold_uncertainty_score":0.9993612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06265882094151017,"score_gpt":0.3135107612312626,"score_spread":0.2508519402897525,"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."}}