{"id":"W3020983620","doi":"10.1002/ecs2.3129","title":"Factors shaping alternate successional trajectories in burned black spruce forests of Alaska","year":2020,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Strategic Environmental Research and Development Program; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Joint Fire Science Program; Division of Environmental Biology; National Aeronautics and Space Administration","keywords":"Deciduous; Ecological succession; Dominance (genetics); Seedling; Ecology; Fire regime; Taiga; Black spruce; Vegetation (pathology); Fire ecology; Plant community; Environmental science; Stand development; Biology; Ecosystem; Agronomy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001273341,0.0001772468,0.0002713662,0.00001066609,0.00003412362,0.0000200243,0.0003437259,0.00007269845,0.005750397],"category_scores_gemma":[0.0000950645,0.0001499159,0.00007148813,0.0002774472,0.00008846941,0.000298408,0.0001523389,0.0001466215,0.0005493409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091,"about_ca_system_score_gemma":0.00001357059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070101,"about_ca_topic_score_gemma":0.003223016,"domain_scores_codex":[0.9986786,0.00006435043,0.0003226308,0.0003321708,0.0003256291,0.0002766434],"domain_scores_gemma":[0.9994516,0.0001077482,0.0001412863,0.0001566699,0.000005325654,0.0001373116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003035859,0.00004370648,0.9857443,0.00007513117,0.00001101168,0.00001790223,0.001731717,0.003627615,0.004173328,0.00002285044,0.003523305,0.0009987699],"study_design_scores_gemma":[0.0004586999,0.0001092864,0.968305,0.00008358766,0.000004537705,0.000001019341,0.0001959019,0.01768265,0.011988,0.0001179107,0.0008439419,0.0002095051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906546,0.00005345505,0.00006042983,0.0002128127,0.0001799142,0.0002289837,0.00001283805,0.00004083732,0.008556121],"genre_scores_gemma":[0.9995111,0.000004149988,0.0001340754,0.00007639719,0.00005518775,0.000006594643,0.000005752511,0.00002289475,0.0001838558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01743934,"threshold_uncertainty_score":0.9951585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381330435234286,"score_gpt":0.2390076236404177,"score_spread":0.2151943192880749,"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."}}