{"id":"W4211193049","doi":"10.3389/fmicb.2022.779505","title":"Local Habitat Filtering Shapes Microbial Community Structure in Four Closely Spaced Lakes in the High Arctic","year":2022,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Canada First Research Excellence Fund; Parks Canada; Fonds de recherche du Québec – Nature et technologies; Natural Resources Canada; Université Laval","keywords":"Arctic; Microbial population biology; Habitat; Ecology; Community structure; Environmental science; Biology; Geography; Bacteria; Paleontology","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":[0.0001603125,0.0002090602,0.0003951442,0.0008902284,0.001024742,0.0008024375,0.000208854,0.000312448,0.0003205821],"category_scores_gemma":[0.0003842022,0.000209554,0.0002259521,0.0007189205,0.000545928,0.0002619897,0.0006858648,0.0001594898,0.0000718517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007876254,"about_ca_system_score_gemma":0.0005980617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06878444,"about_ca_topic_score_gemma":0.1279944,"domain_scores_codex":[0.9998209,0.00002403552,0.00001270674,0.00005175552,0.00003290754,0.00005766081],"domain_scores_gemma":[0.9997478,0.00003889205,0.00006905462,0.000009132059,0.00006663402,0.00006850404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003446133,0.00005215212,0.9311408,0.00003526279,0.00008617419,0.0002397968,0.002543896,0.0003684141,0.06068319,0.00003716269,0.00004820533,0.004420285],"study_design_scores_gemma":[0.000002262771,0.00004045891,0.9977236,0.000002640241,0.00001660345,0.00004612232,0.001192867,0.0003067477,0.0005760448,0.00001006375,0.00007811707,0.000004473392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998783,0.00002388777,0.00002109963,0.000002257017,2.992622e-7,9.497028e-7,0.00002022947,7.881607e-7,0.00005209802],"genre_scores_gemma":[0.9997422,0.000022708,0.00008841332,0.000005729546,9.156971e-7,0.000002283738,0.00006669988,9.087046e-7,0.00007007054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06878444,"threshold_uncertainty_score":0.1367682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009259997270377596,"score_gpt":0.2025396028775653,"score_spread":0.1932796056071877,"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."}}