{"id":"W7143727381","doi":"10.14988/0002001364","title":"Microfungal diversity on needle litter in clearcut and mature forest stands","year":2025,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfungi; Clearcutting; Species richness; Litter; Species diversity; Taiga; Snag; Forest floor; Temperate rainforest; Coarse woody debris","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002057126,0.0001795167,0.0002262794,0.0009664297,0.0004717525,0.0004913625,0.0002085032,0.0001074651,0.0006857073],"category_scores_gemma":[0.0005942227,0.0001296473,0.000102571,0.0004683698,0.0003435202,0.0001453648,0.0003735787,0.0001107302,0.00007858074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015308,"about_ca_system_score_gemma":0.0009203337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2653484,"about_ca_topic_score_gemma":0.6863463,"domain_scores_codex":[0.9997541,0.0000203959,0.00001555772,0.00005633401,0.00007102323,0.00008253482],"domain_scores_gemma":[0.9992667,0.00006761981,0.0002105073,0.00002070213,0.000192914,0.0002416882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002845593,0.00003175644,0.9803311,0.00003579408,0.00004076705,0.0001057946,0.0006420782,0.0000508752,0.01402803,0.00002457401,0.0000441441,0.004380535],"study_design_scores_gemma":[6.166974e-7,0.00001556896,0.9997119,0.000001559274,0.000002040637,0.00001743496,0.0001047025,0.00001316373,0.00009499534,0.000001459617,0.0000358804,6.072545e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995005,0.0001459296,0.00001877343,0.000001703523,4.575649e-7,0.000003431753,0.0001567279,7.973218e-7,0.000171553],"genre_scores_gemma":[0.9991834,0.000125786,0.00009278606,0.000004894023,6.399811e-7,0.000003178188,0.0003947174,5.897655e-7,0.0001940413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2653484,"threshold_uncertainty_score":0.5276079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006048638717433,"score_gpt":0.2168078759866312,"score_spread":0.2067473895994569,"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."}}