{"id":"W2020489881","doi":"10.1016/j.foreco.2010.05.037","title":"Impact of wildfire intensity and logging on fungal and nitrogen-cycling bacterial communities in British Columbia forest soils","year":2010,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Species richness; Species evenness; Biology; Clearcutting; Logging; Rhizosphere; Nitrogen cycle; Ecological succession; Environmental science; Agronomy; Soil water; Ecology; Botany; Nitrogen; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005845697,0.0003612412,0.0003368756,0.0009956766,0.001264572,0.001120919,0.0006451695,0.0003956325,0.001307295],"category_scores_gemma":[0.0008710984,0.0002865857,0.0001905504,0.001052679,0.000888802,0.0003796011,0.0006400946,0.0004369469,0.0001492731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007059031,"about_ca_system_score_gemma":0.004116577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8438255,"about_ca_topic_score_gemma":0.9364288,"domain_scores_codex":[0.9994042,0.00008958395,0.00003099856,0.0001107447,0.0001329111,0.0002315724],"domain_scores_gemma":[0.9986982,0.0001972008,0.0001776598,0.00004048024,0.0004211452,0.0004652803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001446761,0.0002348174,0.9539868,0.00007920753,0.0001660412,0.0002404932,0.0009445422,0.0005850802,0.02911046,0.00008640343,0.0005149715,0.01260444],"study_design_scores_gemma":[0.000003278323,0.00001791167,0.9991109,0.000003631716,0.00001001976,0.00001144433,0.0003857238,0.0001270282,0.0002199754,0.000007440151,0.00009927906,0.00000317155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993975,0.0001490491,0.000009288549,0.0000207159,0.000001908434,0.00000291316,0.0001379539,0.000001119594,0.0002795261],"genre_scores_gemma":[0.9989923,0.0001844693,0.00003644345,0.00003762518,0.000001573544,0.000004172669,0.0002435898,0.000001453049,0.0004984525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1561745,"threshold_uncertainty_score":0.3141884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004999406681523111,"score_gpt":0.2022044737727408,"score_spread":0.1972050670912177,"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."}}