{"id":"W4253780010","doi":"10.26686/wgtn.14330714.v2","title":"Fire characteristics and environmental conditions shape plant communities via regeneration strategy","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Université Laval; University of Saskatchewan; Ministry of Natural Resources and Forestry","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Wilfrid Laurier University; Royal Society; Royal Society Te Apārangi; Canada First Research Excellence Fund; National Aeronautics and Space Administration; National Science Foundation","keywords":"Understory; Fire regime; Disturbance (geology); Environmental science; Regeneration (biology); Plant community; Ecology; Vascular plant; Bryophyte; Fire ecology; Boreal; Biological dispersal; Geography; Ecosystem; Biology; Canopy; Ecological succession; Species richness","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":[0.0002587894,0.0001137604,0.0001304695,0.0003787518,0.0002302038,0.0005997859,0.0001516609,0.000142337,0.001536487],"category_scores_gemma":[0.0004882821,0.0001407515,0.0001181481,0.0002307138,0.0003132352,0.0002403656,0.0002792202,0.00012101,0.0002680401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294512,"about_ca_system_score_gemma":0.0001722628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130926,"about_ca_topic_score_gemma":0.05056734,"domain_scores_codex":[0.9998851,0.00002476858,0.000006165434,0.00003555441,0.00001986271,0.00002853278],"domain_scores_gemma":[0.9995785,0.00008636336,0.0001435938,0.00002726214,0.0000604038,0.0001038505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002009069,0.00005314189,0.9387017,0.00003334147,0.00005666764,0.00007784736,0.0005290305,0.0004679014,0.04072305,0.0001268748,0.0002061017,0.01882345],"study_design_scores_gemma":[0.000001774841,0.00001998575,0.9990057,0.00000281849,0.000004195526,0.00003968293,0.0001117158,0.0004159795,0.0001957201,0.00003203713,0.0001683209,0.000002029532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991084,0.00006351281,0.0001431435,0.00000549663,5.208819e-7,0.000002981731,0.00006545116,0.000004780349,0.0006057993],"genre_scores_gemma":[0.9993824,0.00003500111,0.0001878605,0.000006645119,7.95883e-7,0.000002141838,0.0000928853,0.00000248896,0.0002897567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01130926,"threshold_uncertainty_score":0.02248687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369342050605946,"score_gpt":0.2081204309866331,"score_spread":0.1944270104805736,"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."}}