{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004694378,0.0001610348,0.0001514229,0.0005568195,0.00052247,0.0005588596,0.0001806891,0.0002004352,0.0007907957],"category_scores_gemma":[0.0007902247,0.000168871,0.0001778648,0.0002698144,0.0003062659,0.0002485586,0.0003383674,0.0002510532,0.0001052819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188234,"about_ca_system_score_gemma":0.0003009582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0377455,"about_ca_topic_score_gemma":0.1339188,"domain_scores_codex":[0.9998777,0.00002424328,0.00001084309,0.00004037636,0.00001513779,0.00003166392],"domain_scores_gemma":[0.9994637,0.0001093056,0.0001916019,0.00003245445,0.00006304018,0.0001399083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006581167,0.00002360546,0.9964998,0.00000561685,0.00001416946,0.00004264279,0.0004075796,0.0002343878,0.00149951,0.00002443234,0.00001682369,0.00116567],"study_design_scores_gemma":[8.624772e-7,0.00001590338,0.9990602,0.000002768605,0.000002697814,0.00003036428,0.0004107807,0.0003532253,0.00005302234,0.00002711158,0.00004135682,0.000001746464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998471,0.00001757901,0.00003175312,0.000003190615,7.507184e-7,7.292377e-7,0.00003041646,9.45482e-7,0.00006760065],"genre_scores_gemma":[0.9997813,0.00001733873,0.00004641457,0.000002311868,5.726141e-7,0.00000139277,0.00006465898,6.724263e-7,0.00008529321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0377455,"threshold_uncertainty_score":0.07505161,"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."}}