{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001699112,0.0001894987,0.0002486478,0.0002024412,0.00003058379,0.00002693516,0.0001795401,0.0001644497,0.0001468124],"category_scores_gemma":[0.000001368072,0.0001468923,0.00006237974,0.00007795495,0.0000268835,0.000131955,0.00002903858,0.0002863883,0.001840976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290443,"about_ca_system_score_gemma":0.00000315014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004132061,"about_ca_topic_score_gemma":0.00003421834,"domain_scores_codex":[0.9989899,0.00008136617,0.0002510562,0.0002583366,0.00002197502,0.0003973342],"domain_scores_gemma":[0.9996716,0.0000160938,0.00002386528,0.0002345761,0.000007997285,0.00004586458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007876511,0.000009374204,0.002253319,0.00005526122,0.00002269481,0.00001402902,0.0002372095,0.002082119,0.9943882,0.00001209292,0.0007226479,0.0001952197],"study_design_scores_gemma":[0.001240189,0.00007231421,0.002621786,0.0001237973,0.00001850623,0.0004719476,0.0007542255,0.002709672,0.945013,0.000001477476,0.04617045,0.0008026276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970551,0.000102161,0.0003227608,0.0002111586,0.00151469,0.0001832792,0.00001415651,0.0002519465,0.0003447858],"genre_scores_gemma":[0.9986477,0.000003471389,0.0001349787,0.0007874048,0.00007902369,0.000007325203,0.000151196,0.00002948547,0.0001593647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04937515,"threshold_uncertainty_score":0.9989362,"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."}}