{"id":"W4406121234","doi":"10.1016/j.fecs.2025.100294","title":"Increased positive tree species mixture effects on the abundance and richness of Collembola with stand development in Canadian boreal forests","year":2025,"lang":"en","type":"article","venue":"Forest Ecosystems","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Species richness; Ecology; Abundance (ecology); Taiga; Boreal; Biodiversity; Ecosystem; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005225669,0.0003814331,0.000275459,0.001684392,0.001197604,0.0007909389,0.000363761,0.0002574921,0.0009799574],"category_scores_gemma":[0.001064811,0.0002035081,0.000359845,0.000802319,0.0005835301,0.000340931,0.0007490126,0.0003062083,0.00007736698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215037,"about_ca_system_score_gemma":0.001585977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4070611,"about_ca_topic_score_gemma":0.8076744,"domain_scores_codex":[0.9994917,0.0000527103,0.00002708361,0.0001370039,0.0001685697,0.0001229872],"domain_scores_gemma":[0.9985437,0.0001696792,0.0003858908,0.00005709467,0.0003233785,0.0005201739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001755402,0.00003629307,0.975393,0.00003772738,0.000112256,0.0001472796,0.0004887855,0.0000928958,0.01759635,0.0000367261,0.0000993171,0.005783739],"study_design_scores_gemma":[5.894942e-7,0.000007956829,0.9997835,0.000001093616,0.00000563917,0.0000189947,0.00005633309,0.00002560809,0.00004607583,0.000003043253,0.00004975589,0.000001482621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992756,0.0002853115,0.00003536233,0.0000116732,0.000001486695,0.00000423651,0.00008535371,0.000004111268,0.0002969402],"genre_scores_gemma":[0.9994859,0.0001086781,0.0001064888,0.00001333778,0.000002398796,0.000003742037,0.0001385998,0.000001177376,0.0001397213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5929389,"threshold_uncertainty_score":0.8093835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002448375873584309,"score_gpt":0.17408356112513,"score_spread":0.1716351852515457,"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."}}