{"id":"W4321523440","doi":"10.32920/22141310.v1","title":"Microbes at Surface-Air Interfaces: The Metabolic Harnessing of Relative Humidity, Surface Hygroscopicity, and Oligotrophy for Resilience","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization; University of Saskatchewan; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation; National Research Foundation; Nuclear Waste Management Organization","keywords":"Desiccation; Biofilm; Relative humidity; Chemistry; Microbial population biology; Environmental chemistry; Desiccation tolerance; Humidity; Microbial metabolism; Biophysics; Bacteria; Biology; Botany","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":[0.0002852663,0.0003805335,0.0003174032,0.0002545259,0.000215402,0.001013719,0.0002152626,0.000371007,0.0005171238],"category_scores_gemma":[0.0002374964,0.0001713094,0.0002684585,0.0001935908,0.0004721443,0.0008630781,0.000767148,0.0004794345,0.0001414662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316418,"about_ca_system_score_gemma":0.0002940721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007036056,"about_ca_topic_score_gemma":0.0009521564,"domain_scores_codex":[0.9997959,0.00004221878,0.0000131243,0.00003929568,0.00005918883,0.00005029969],"domain_scores_gemma":[0.9998366,0.00003351208,0.00004967329,0.00001386357,0.00002776795,0.00003855918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004205013,0.00001155898,0.001686943,0.00008503584,0.000009283898,0.00007520276,0.0001150155,0.000153991,0.993298,0.000322268,0.00002865268,0.004172027],"study_design_scores_gemma":[0.000009683775,0.0006739894,0.05835359,0.00008463597,0.00006599319,0.0005978833,0.001306764,0.003743098,0.9289313,0.001131919,0.005057613,0.00004365887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888235,0.003623694,0.004853002,0.0003251237,0.00002476615,0.00002085799,0.0001179648,0.00003925623,0.002171928],"genre_scores_gemma":[0.9964696,0.001067998,0.001873198,0.0000484306,0.000009153833,0.000009879132,0.0000404064,0.000006382621,0.0004750663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001013719,"threshold_uncertainty_score":0.001729965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04668659213455869,"score_gpt":0.2617142832014556,"score_spread":0.2150276910668969,"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."}}