{"id":"W2072952450","doi":"10.1128/aem.67.7.3077-3085.2001","title":"Microbial Diversity of the Brine-Seawater Interface of the Kebrit Deep, Red Sea, Studied via 16S rRNA Gene Sequences and Cultivation Methods","year":2001,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Universität Regensburg","keywords":"Halophile; Brine; 16S ribosomal RNA; Biology; Seawater; Phylogenetic tree; Halotolerance; Extreme environment; Ribosomal RNA; Artificial seawater; Extremophile; Thermophile; Botany; Salinity; Ecology; Bacteria; Gene; Chemistry; Biochemistry; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002112316,0.0004603728,0.000203878,0.001005549,0.0003265696,0.0005188445,0.000182551,0.0003029601,0.0003545774],"category_scores_gemma":[0.0003040562,0.000172231,0.0001884153,0.0006896602,0.0002271354,0.0003340069,0.0004461401,0.0001467231,0.0002213972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165862,"about_ca_system_score_gemma":0.0003834924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513519,"about_ca_topic_score_gemma":0.006806555,"domain_scores_codex":[0.9997239,0.00003111915,0.00002717731,0.00009570531,0.00008412675,0.0000380538],"domain_scores_gemma":[0.9998388,0.00002088654,0.00005421098,0.000008041376,0.00004697057,0.00003099926],"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":[0.0001612622,0.00004691869,0.08614097,0.0001360294,0.00003219321,0.0001323553,0.0007455329,0.0001069045,0.90436,0.0000219907,0.00001402731,0.008101768],"study_design_scores_gemma":[0.00001594403,0.0006331137,0.9355271,0.00003593604,0.00007559917,0.0006681971,0.0009241301,0.0004004328,0.05957946,0.00003174064,0.002092681,0.00001569609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986961,0.0003636458,0.0002854127,0.00001045955,0.000001858956,0.00001315228,0.0002725529,0.000003496402,0.0003531786],"genre_scores_gemma":[0.9952275,0.0008332423,0.001738847,0.00003056899,0.00000748377,0.00003201718,0.001152173,0.000003588694,0.0009746469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004513519,"threshold_uncertainty_score":0.008974493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009517948063453695,"score_gpt":0.2251074415256893,"score_spread":0.2155894934622356,"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."}}