{"id":"W4409020936","doi":"10.1093/ismeco/ycaf056","title":"Metabolic diversity and adaptation of carbon-fixing microorganisms in extreme glacial cryoconite","year":2024,"lang":"en","type":"article","venue":"ISME Communications","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; Lanzhou University","keywords":"Carbon cycle; Metagenomics; Extreme environment; Microorganism; Carbon fixation; Cyanobacteria; Ecosystem; Ecology; Biology; Stable-isotope probing; Carbon fibers; Bacteria; Carbon dioxide; Paleontology; Biochemistry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002290371,0.00005989035,0.0001062068,0.00005697134,0.0003383362,0.000006880256,0.0004251835,0.0000596143,0.000313347],"category_scores_gemma":[0.00001959653,0.00006548865,0.00002171357,0.0002243939,0.0003547182,0.0000990733,0.002080714,0.0002182966,0.00002052047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003296928,"about_ca_system_score_gemma":0.00001123548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003272817,"about_ca_topic_score_gemma":0.01325133,"domain_scores_codex":[0.9993929,0.0002265814,0.0001505149,0.00009930805,0.00003641045,0.00009424194],"domain_scores_gemma":[0.999313,0.0001876416,0.00003598054,0.0004357326,0.000005926469,0.00002174418],"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":[0.00003506196,0.00037102,0.3959,0.00004455722,0.00007443236,0.000004487279,0.06293041,0.0004807419,0.5022187,0.01967321,0.0002581384,0.01800925],"study_design_scores_gemma":[0.0004247357,0.00006711213,0.9440116,0.00005252418,0.00007206979,0.00001231486,0.001256467,0.01708146,0.001858992,0.01187928,0.02300552,0.0002779883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947311,0.001003832,0.00008403457,0.0004928796,0.0000464146,0.0001013423,0.000007480933,0.00002125582,0.003511667],"genre_scores_gemma":[0.9981136,0.0004419714,0.001290543,0.00006408582,0.00000566462,0.000004971072,0.00001734678,0.000004610015,0.00005723914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5481116,"threshold_uncertainty_score":0.7394553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735409911041151,"score_gpt":0.2546004913691489,"score_spread":0.1810595002650338,"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."}}