{"id":"W4281811467","doi":"10.1111/gbi.12504","title":"Nanoscale chemical mapping of exometabolites at fungal–mineral interfaces","year":2022,"lang":"en","type":"article","venue":"Geobiology","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Stiftelsen Åforsk; Vetenskapsrådet; Deutsche Forschungsgemeinschaft","keywords":"Mineral; Goethite; Chemistry; Extracellular polymeric substance; Soil water; Carbon fibers; Clay minerals; Environmental chemistry; Mineralogy; Adsorption; Materials science; Ecology; Geology; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001112212,0.00008634156,0.0001780821,0.000017706,0.0001631247,0.000006767426,0.0002114673,0.00004847523,0.02258625],"category_scores_gemma":[0.00005450806,0.00003665587,0.00007781918,0.000188736,0.00001701011,0.00004159887,0.0003005278,0.0001343462,0.0001268981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002046144,"about_ca_system_score_gemma":0.000003448791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775274,"about_ca_topic_score_gemma":0.00003354906,"domain_scores_codex":[0.9992281,0.00009879171,0.0001960918,0.0001935448,0.00006799711,0.0002154943],"domain_scores_gemma":[0.9991616,0.0006503801,0.00008386696,0.00004191852,0.00002312284,0.00003908927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005171022,0.00004307536,0.04140041,0.000002584535,0.00001204679,0.000002346721,0.00005152893,0.000005232392,0.949105,0.0004874217,0.006653144,0.002185504],"study_design_scores_gemma":[0.00007653987,0.0003464095,0.01778687,0.000008622553,0.0000132479,0.0002797727,0.0006318786,0.00005685985,0.1010293,0.0005744597,0.8789659,0.0002302265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943772,0.0007587853,9.85725e-7,0.0004572801,0.000444609,0.00007683427,0.001427289,0.00002982085,0.002427193],"genre_scores_gemma":[0.9958329,0.00006433301,0.00003877496,0.0001961298,0.0001181277,0.0000255042,0.001124462,5.441015e-7,0.002599247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8723127,"threshold_uncertainty_score":0.9783072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298622148853959,"score_gpt":0.1929183018417062,"score_spread":0.1799320803531666,"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."}}