{"id":"W4310682297","doi":"10.1007/s11104-022-05778-7","title":"Plant-soil feedback in the ‘real world’: how does fire fit into all of this?","year":2022,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación; Vetenskapsrådet; Agencia Nacional de Promoción Científica y Tecnológica; Svenska Forskningsrådet Formas","keywords":"Environmental science; Biota; Context (archaeology); Soil biology; Ecosystem; Plant community; Ecology; Fire regime; Vegetation (pathology); Fire ecology; Soil carbon; Alternative stable state; Soil water; Soil science; Geography; Species richness; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002446035,0.00006576061,0.0001012915,0.00002095838,0.0002168312,0.000009089922,0.0001410598,0.0000200437,0.0003385389],"category_scores_gemma":[0.000008973561,0.00004103568,0.00001890836,0.00007948043,0.0001231659,0.00004881115,0.0001638145,0.000129474,0.00001139299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002743892,"about_ca_system_score_gemma":0.000004267132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096734,"about_ca_topic_score_gemma":0.04574512,"domain_scores_codex":[0.9994593,0.00007208317,0.00009108715,0.0001262781,0.0001279644,0.0001233092],"domain_scores_gemma":[0.9996845,0.000177185,0.00004860342,0.00007204591,0.000001395596,0.0000162642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005956818,0.0001095512,0.9691287,0.00002254679,0.00002649778,0.00003245875,0.01890515,0.0009549381,0.0001372725,0.001251497,0.008198169,0.0011737],"study_design_scores_gemma":[0.0006102715,0.0001231776,0.9624268,0.00001069105,0.00002591766,0.00001696369,0.004981406,0.01291397,0.0000569376,0.003330198,0.01529065,0.0002129634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878251,0.00008027253,4.711938e-7,0.002337568,0.00008893618,0.00006543301,0.00005983367,0.000006772162,0.009535623],"genre_scores_gemma":[0.9970418,0.000280908,0.00001800655,0.0003342859,0.00001121276,0.00002530164,0.00003354934,0.00000252164,0.002252463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04464839,"threshold_uncertainty_score":0.9716675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252373017500211,"score_gpt":0.2131955604352068,"score_spread":0.2006718302602047,"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."}}