{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005714145,0.0002522917,0.0003738856,0.0001641334,0.0001911737,0.00007116156,0.0002897995,0.0001042061,0.00002086551],"category_scores_gemma":[0.0001064738,0.0001660931,0.00002725232,0.0006131138,0.0001178991,0.0001190187,0.0000700887,0.000153213,0.00002103816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008752436,"about_ca_system_score_gemma":0.0002232257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2283151,"about_ca_topic_score_gemma":0.9743027,"domain_scores_codex":[0.9983637,0.0001740184,0.000316121,0.0003691012,0.0003216232,0.0004554802],"domain_scores_gemma":[0.9987606,0.0005979431,0.0001383487,0.0003163207,0.00002059724,0.0001661973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001141055,0.00004113354,0.9952487,0.0002449392,0.00004013914,0.0000492459,0.0005512218,0.00007743621,0.0001226404,0.0009128446,0.001624345,0.0009732802],"study_design_scores_gemma":[0.0007974344,0.0001932944,0.9855378,0.001122864,0.00001115306,0.000009260302,0.00009885973,0.002387749,0.002702607,0.00005434374,0.006893082,0.0001915765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756136,0.000127899,0.00004459253,0.0002022869,0.000135487,0.00158376,0.00006753622,0.00001638107,0.02220847],"genre_scores_gemma":[0.9991611,0.000003300543,0.00003407094,0.00006324614,0.00002022067,0.0001831955,0.00001815358,0.00001894911,0.000497742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7459876,"threshold_uncertainty_score":0.7768236,"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."}}