{"id":"W4387845236","doi":"10.1002/lno.12447","title":"Variability in lake bacterial growth and primary production under lake ice: Evidence from early winter to spring melt","year":2023,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Université du Québec à Chicoutimi","keywords":"Bacterioplankton; Environmental science; Phytoplankton; Snow; Water column; Boreal; Snowmelt; Sea ice; Precipitation; Cryosphere; Carbon cycle; Ecology; Atmospheric sciences; Oceanography; Ecosystem; Biology; Nutrient; Geology; Surface runoff; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003340298,0.0001841642,0.0002532191,0.0006640156,0.0004080203,0.0004822662,0.0001487477,0.0002317328,0.0005557029],"category_scores_gemma":[0.0005848154,0.0001744586,0.0002376593,0.0006850365,0.0002858382,0.0003099284,0.0003921552,0.0001483283,0.00009350582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562812,"about_ca_system_score_gemma":0.000227245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046936,"about_ca_topic_score_gemma":0.0173969,"domain_scores_codex":[0.999873,0.00002222589,0.00001073513,0.00003304865,0.00002322346,0.00003769458],"domain_scores_gemma":[0.9994003,0.00008695799,0.0002517994,0.00002701515,0.0001109273,0.0001230341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001656059,0.00001903594,0.9885201,0.00001157087,0.00002867764,0.00002922433,0.0002045918,0.00006028357,0.009296471,0.00001215916,0.0000435648,0.001608655],"study_design_scores_gemma":[4.85865e-7,0.00001527812,0.9997478,6.735411e-7,0.000002878824,0.000007234195,0.00005100308,0.00005049625,0.00009617789,0.000003380048,0.00002392382,6.304397e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999593,0.00006619203,0.0000398234,0.000007295284,0.000001501156,0.000001123089,0.0001357583,0.000001955553,0.0001533521],"genre_scores_gemma":[0.9996928,0.0000209919,0.00004268472,0.000005954463,0.000003505683,0.000002446573,0.0001847684,0.000001008736,0.0000458545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046936,"threshold_uncertainty_score":0.02081686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273064696407363,"score_gpt":0.2190520411396576,"score_spread":0.2063213941755839,"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."}}