{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001734131,0.0003673464,0.0003300914,0.001095536,0.001089574,0.0007242016,0.0002201661,0.0002492553,0.0002837605],"category_scores_gemma":[0.000228361,0.000173236,0.0001746575,0.0009987639,0.0003680678,0.0002047149,0.0004217717,0.0001383352,0.0001033389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007522061,"about_ca_system_score_gemma":0.0008262643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09537166,"about_ca_topic_score_gemma":0.1737308,"domain_scores_codex":[0.9997147,0.00002296602,0.00001883581,0.00008515603,0.0000818462,0.00007649551],"domain_scores_gemma":[0.9997641,0.00002341598,0.00004314336,0.000009868143,0.00007802998,0.00008140062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005958044,0.00007258494,0.6188262,0.0001547128,0.0001350526,0.0003936499,0.003374197,0.0004714669,0.3614119,0.000105552,0.00009516356,0.01436362],"study_design_scores_gemma":[0.000002968932,0.00007930652,0.9947913,0.000005479675,0.00002017189,0.0001500393,0.001024119,0.0002738149,0.003243581,0.00001829077,0.0003844172,0.000006435376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993758,0.0001533619,0.0000455403,0.000003273472,0.000001446163,0.000003918333,0.0001747512,0.000001612282,0.000240382],"genre_scores_gemma":[0.9983324,0.0002862744,0.0002688153,0.00001230611,0.000005837012,0.000009121611,0.0005811456,0.000002801182,0.0005012756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09537166,"threshold_uncertainty_score":0.1896331,"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."}}