{"id":"W2188538605","doi":"","title":"Genetic identification of eleven aquatic bacteria using the 16S rDNA gene","year":2012,"lang":"en","type":"article","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; GenBank; Bacteria; 16S ribosomal RNA; Enterobacter; Phylogenetic tree; Aeromonas; Microbiology; Acinetobacter; Ecology; Zoology; Gene; Genetics; Escherichia coli","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001788543,0.0004015319,0.0002805665,0.001229209,0.0005118918,0.0003892621,0.0002184026,0.0003123042,0.0007032981],"category_scores_gemma":[0.0004742447,0.0001930044,0.000317971,0.001158108,0.0003756027,0.0003635762,0.0004204673,0.0002581932,0.0002777872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471437,"about_ca_system_score_gemma":0.0009862399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351007,"about_ca_topic_score_gemma":0.0328758,"domain_scores_codex":[0.9997088,0.00001853003,0.00003796113,0.00007079132,0.0001073672,0.00005639812],"domain_scores_gemma":[0.9996992,0.00004347328,0.00009489064,0.00001461401,0.00009967441,0.00004823305],"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":[0.0002359448,0.0001201773,0.101488,0.0002673454,0.00002335241,0.0005421347,0.00156874,0.0001070017,0.8735222,0.00009450089,0.00005916912,0.02197149],"study_design_scores_gemma":[0.00002184,0.001058541,0.8119562,0.0001244807,0.0001192596,0.00141867,0.005336933,0.0007666371,0.1723976,0.0001251048,0.006641794,0.00003294959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972687,0.0003007905,0.001027964,0.00004554616,0.000008659062,0.00005957052,0.0004489316,0.000007889008,0.0008319964],"genre_scores_gemma":[0.9794391,0.00116928,0.01286688,0.00005470877,0.000009020617,0.0001128179,0.00317142,0.000007968551,0.003168847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351007,"threshold_uncertainty_score":0.02686286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103200508278985,"score_gpt":0.2535342462407317,"score_spread":0.2325022411579419,"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."}}