{"id":"W2966191705","doi":"10.1093/femsle/fnz167","title":"Microbiomes in an acidic rock–water cave system","year":2019,"lang":"en","type":"article","venue":"FEMS Microbiology Letters","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Bundesministerium für Bildung und Frauen; Canada's Michael Smith Genome Sciences Centre","keywords":"Pyrite; Environmental chemistry; Cave; Mineralization (soil science); Ecosystem; Microorganism; Chemistry; Nutrient; Extreme environment; Phosphate minerals; Phosphate; Ecology; Geology; Mineralogy; Biology; Bacteria; Soil water","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":[0.0001149797,0.0001971805,0.0003081547,0.0004892868,0.0006724381,0.0007573831,0.0002032527,0.0003429008,0.0007841151],"category_scores_gemma":[0.0001878873,0.0001629255,0.0001546176,0.0005189535,0.0003477023,0.0002658217,0.0009293406,0.0002423111,0.0002281636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215716,"about_ca_system_score_gemma":0.0005209265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008212031,"about_ca_topic_score_gemma":0.01330486,"domain_scores_codex":[0.999778,0.00001959209,0.00000999903,0.00007915247,0.0000372246,0.00007605575],"domain_scores_gemma":[0.9998807,0.00001549033,0.00002473651,0.00000478597,0.00002496449,0.00004929201],"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":[0.0005878792,0.000122398,0.1273336,0.0001800533,0.00005707265,0.0008779186,0.002047687,0.0003046483,0.8600318,0.0001220026,0.0001519837,0.008182879],"study_design_scores_gemma":[0.00001836573,0.000716323,0.97198,0.00003143491,0.00004133893,0.0008931978,0.003671409,0.0009517521,0.01787907,0.0001269379,0.003642523,0.00004766398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992988,0.00005609129,0.00006095543,0.000007664588,0.000001636835,0.000009408455,0.000277945,0.000003924883,0.0002835227],"genre_scores_gemma":[0.9976999,0.0001246469,0.0005945207,0.00003502489,0.000003591947,0.00002049432,0.000857393,0.000004937773,0.0006595408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008212031,"threshold_uncertainty_score":0.01632845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005429473849069536,"score_gpt":0.1849931213411864,"score_spread":0.1795636474921168,"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."}}