{"id":"W4412737128","doi":"10.1029/2025jg009071","title":"Investigating the Atmospheric Microbial Ecosystem Through Theory, Bioenergetics, and Numerical Modeling: A Breath of Fresh Air for Aeromicrobiology","year":2025,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agence Nationale de la Recherche; Human Frontier Science Program; HORIZON EUROPE European Research Council; Canadian Institute for Advanced Research","keywords":"Environmental science; Ecosystem; Bioenergetics; Atmospheric sciences; Ecology; Biology; Physics","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":[0.00178434,0.0006100647,0.0007061189,0.000591963,0.0007672401,0.002269735,0.00136364,0.001623221,0.001295731],"category_scores_gemma":[0.00386967,0.0002827678,0.0008276252,0.0004792703,0.003447188,0.003299671,0.002605163,0.002315498,0.0001942602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270498,"about_ca_system_score_gemma":0.001561498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008404497,"about_ca_topic_score_gemma":0.005599977,"domain_scores_codex":[0.9996438,0.0002181362,0.00001506217,0.00003441703,0.00006531155,0.00002328186],"domain_scores_gemma":[0.9980337,0.001526675,0.0001037405,0.0001239775,0.0001014392,0.0001104067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006614534,0.0001638189,0.004519496,0.0003519722,0.00007819183,0.000203761,0.0004818515,0.5477893,0.005970604,0.4188419,0.003053125,0.01847987],"study_design_scores_gemma":[0.00001934765,0.00004199889,0.0005874681,0.0001162899,0.00001415032,0.00001533453,0.0002377267,0.7597029,0.0008347264,0.2325667,0.00583346,0.00002989618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2392101,0.03318534,0.6244506,0.07557811,0.001279542,0.0001653731,0.0005656452,0.0005195857,0.02504563],"genre_scores_gemma":[0.7964183,0.01874932,0.1790836,0.001566131,0.0007739221,0.0002541034,0.0001282238,0.0001810184,0.002845366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008404497,"threshold_uncertainty_score":0.01671118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102107917491721,"score_gpt":0.2882996801189773,"score_spread":0.2672786009440601,"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."}}