{"id":"W4242309147","doi":"10.26686/wgtn.14330717.v1","title":"Identifying Functional Impacts of Heat-Resistant Fungi on Boreal Forest Recovery After Wildfire","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Guelph; Université Laval; Wilfrid Laurier University","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Wilfrid Laurier University; National Aeronautics and Space Administration; Canada First Research Excellence Fund; Aurora Research Institute; National Science Foundation","keywords":"Taiga; Boreal; Environmental science; Agroforestry; Forestry; Earth science; Ecology; Physical geography; Astrobiology; Geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005478405,0.0003085863,0.0002779453,0.0005353002,0.0002903986,0.0004643542,0.0002836085,0.0003105954,0.002456809],"category_scores_gemma":[0.0009569834,0.0000989472,0.000385568,0.0003068197,0.0002148371,0.0003800098,0.0002624694,0.0002213535,0.0002909764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003312404,"about_ca_system_score_gemma":0.0001996933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005357634,"about_ca_topic_score_gemma":0.008397299,"domain_scores_codex":[0.999772,0.00004288629,0.00000936415,0.00005514381,0.00005017747,0.00007036098],"domain_scores_gemma":[0.9994724,0.0001381651,0.0001569326,0.0000422044,0.00007654732,0.0001138231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004539105,0.0004492082,0.6059068,0.0003970989,0.0002399609,0.0005630213,0.0005205939,0.003663927,0.297813,0.0003471351,0.0009708006,0.08458941],"study_design_scores_gemma":[0.000005657166,0.0002471892,0.9931578,0.000008749123,0.0000382627,0.00006949133,0.0001833613,0.0009132019,0.004972843,0.00008124784,0.0003164519,0.000005646601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984109,0.0001722393,0.0003257263,0.00001832816,0.00000524494,0.000007518772,0.000428122,0.00001929621,0.0006126185],"genre_scores_gemma":[0.9982415,0.00008578534,0.0004215787,0.00001039215,0.000004286671,0.000005907887,0.0006624267,0.000008989914,0.0005592297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005357634,"threshold_uncertainty_score":0.0106529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262110479467626,"score_gpt":0.227599304755497,"score_spread":0.2049781999608207,"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."}}