{"id":"W4411276158","doi":"10.1101/2025.06.10.658851","title":"Spatial and temporal scale-dependent feedbacks govern dynamics of biocrusts in drylands","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China","keywords":"Scale (ratio); Dynamics (music); Environmental science; Temporal scales; Spatial ecology; Remote sensing; Earth science; Geography; Environmental resource management; Geology; Ecology; Physics; Cartography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004092125,0.0004038287,0.000666145,0.00007683915,0.00008975627,0.00008458312,0.0004804132,0.0008191946,0.00009462288],"category_scores_gemma":[0.00005819799,0.0002215333,0.0001193988,0.000359735,0.0001879316,0.00006355817,0.0008483892,0.0005819455,0.000005966387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056222,"about_ca_system_score_gemma":0.0001523473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005109366,"about_ca_topic_score_gemma":0.01145018,"domain_scores_codex":[0.9978387,0.0001158079,0.0005817419,0.0008080504,0.0001995887,0.0004561089],"domain_scores_gemma":[0.998997,0.00007769091,0.0003728732,0.0002260399,0.0001808324,0.0001455889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001174944,0.0003500812,0.3926902,0.0003313791,0.00007105431,0.00002996172,0.00001009682,0.00001077498,0.6055138,0.0004174011,0.0001639817,0.0002938103],"study_design_scores_gemma":[0.0005870705,0.0001758611,0.9465221,0.0003870766,0.00006181056,3.689279e-8,0.00001477372,0.0005121306,0.04911904,0.000008274971,0.001928275,0.0006835517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960479,0.0004439449,0.0000239589,0.0006525745,0.0007206574,0.0005079579,0.001485439,0.00007679027,0.00004081233],"genre_scores_gemma":[0.9990135,0.0003270961,0.000255617,0.0001336857,0.0001960423,0.00003512409,0.000003682121,0.000004867481,0.00003034807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5563947,"threshold_uncertainty_score":0.9033865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007129893788162363,"score_gpt":0.1912449892195392,"score_spread":0.1841150954313768,"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."}}