{"id":"W1990529163","doi":"10.1128/aem.00359-08","title":"Heterotrophic and Autotrophic Microbial Populations in Cold Perennial Springs of the High Arctic","year":2008,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; National Research Council Canada; Biotechnology Research Institute","funders":"Canadian Space Agency; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University; National Aeronautics and Space Administration","keywords":"Microbial mat; Autotroph; Heterotroph; Anoxygenic photosynthesis; Phototroph; Microbial population biology; Biology; Firmicutes; Environmental chemistry; Proteobacteria; Botany; Ecology; Actinobacteria; Methanogenesis; Bacteria; Cyanobacteria; Photosynthesis; Chemistry; 16S ribosomal RNA; Methane","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005706527,0.000142032,0.0001881672,0.0000271174,0.0001459873,0.000003269357,0.0001091237,0.0001183249,0.0003529104],"category_scores_gemma":[0.00000151594,0.0001042664,0.00003027607,0.00007113756,0.0009161404,0.00002845223,0.00028995,0.0001784778,0.00002795146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006188788,"about_ca_system_score_gemma":0.000002887493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000477138,"about_ca_topic_score_gemma":0.00004360334,"domain_scores_codex":[0.9991872,0.00004247584,0.0002239126,0.0002876149,0.00004056777,0.0002181807],"domain_scores_gemma":[0.9997096,0.00001475476,0.00008066005,0.0001496833,4.02248e-7,0.00004491605],"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":[0.00001632594,0.00005877825,0.09068359,0.000005517028,0.000006756166,0.000002029047,0.0002451073,0.0006155228,0.9080239,0.0002328941,0.00001434781,0.00009525729],"study_design_scores_gemma":[0.001738296,0.0001244342,0.9720004,0.00001671008,0.00003218884,0.0002804194,0.00004924688,0.00009328646,0.02288537,0.0008677093,0.001584203,0.0003277117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992868,0.0001251389,0.000004262942,0.0001122387,0.00007999489,0.0002412681,0.00002462565,0.000005195888,0.0001204578],"genre_scores_gemma":[0.9991986,0.0001949255,0.0002891884,0.000146981,0.00001472754,0.00001098245,0.0000185682,0.00001111604,0.0001149746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8851385,"threshold_uncertainty_score":0.4251862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009176458463105355,"score_gpt":0.1738607275831496,"score_spread":0.1646842691200442,"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."}}