{"id":"W2793509650","doi":"10.1071/ma18003","title":"The importance of resolving biogeographic patterns of microbial microdiversity","year":2018,"lang":"en","type":"article","venue":"Microbiology Australia","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Biogeography; Biological dispersal; Ecology; Phylogeography; Biology; Evolutionary biology; Ribosomal RNA; Gene; Phylogenetics; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001553811,0.0002652746,0.0003868903,0.001605226,0.0006278995,0.00153518,0.0004530337,0.0005888916,0.0007139059],"category_scores_gemma":[0.004972993,0.0001860068,0.0001612562,0.00179106,0.001094062,0.00334189,0.001262386,0.0009798099,0.0003120512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004629682,"about_ca_system_score_gemma":0.0005469733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002765175,"about_ca_topic_score_gemma":0.004454961,"domain_scores_codex":[0.999297,0.0003040772,0.0000483605,0.0001979433,0.00009389584,0.00005873779],"domain_scores_gemma":[0.9978032,0.0008269399,0.0006969878,0.0001783823,0.0003057686,0.0001886732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001561181,0.00009294382,0.6369304,0.0008328781,0.0003158172,0.0004228181,0.003761632,0.00407656,0.09846631,0.007797194,0.001057357,0.2460899],"study_design_scores_gemma":[0.000009274803,0.0001027295,0.9094196,0.0002435676,0.00006575639,0.0009377762,0.008328768,0.007055593,0.006777863,0.04457944,0.02241317,0.00006648627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256456,0.02169836,0.03591729,0.005386618,0.0001439029,0.00006484691,0.000836003,0.00009996356,0.01020724],"genre_scores_gemma":[0.9694213,0.006067874,0.02291032,0.0007483269,0.0002220723,0.00003116016,0.0002876834,0.00002314947,0.0002881356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002765175,"threshold_uncertainty_score":0.008217394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636912698334637,"score_gpt":0.2430642869916638,"score_spread":0.2266951600083174,"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."}}