{"id":"W2958089170","doi":"10.1002/ecs2.2809","title":"Contributions of fire refugia to resilient ponderosa pine and dry mixed‐conifer forest landscapes","year":2019,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; Rocky Mountain Research Station; Oregon State University","keywords":"Ecology; Regeneration (biology); Disturbance (geology); Geography; Fire regime; Abundance (ecology); Obligate; Ecosystem; Psychological resilience; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"category_scores_codex":[0.0002204187,0.0001336975,0.0002275271,0.0000100601,0.00006110105,0.00002073696,0.0001550073,0.00007962739,0.003718665],"category_scores_gemma":[0.00006510612,0.0001168916,0.00004392756,0.0001554507,0.00003515339,0.0001298577,0.0001720016,0.00008557876,0.003213869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009522679,"about_ca_system_score_gemma":0.00001008488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006155526,"about_ca_topic_score_gemma":0.003165951,"domain_scores_codex":[0.9989639,0.00004934566,0.0002214463,0.0003024163,0.0001992297,0.0002636735],"domain_scores_gemma":[0.9993439,0.00009204845,0.00007651475,0.0003344806,0.00001326325,0.0001397922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001228516,0.0002244123,0.7854103,0.0001740791,0.00006020354,0.00001572271,0.0004168354,0.003045428,0.03443338,0.0006828405,0.1652416,0.01017231],"study_design_scores_gemma":[0.0009369039,0.0004207584,0.9259132,0.0001078302,0.00001627658,0.000009033016,0.0001087367,0.007537336,0.005802665,0.0001151683,0.05875155,0.0002805244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864643,0.0001928213,0.00004663334,0.0003839585,0.0002294046,0.0005123168,0.00006350686,0.00003384698,0.01207326],"genre_scores_gemma":[0.9959944,0.000008791892,0.0002924893,0.00008817109,0.00002827957,0.0000199492,0.00001243152,0.00001514917,0.003540358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405028,"threshold_uncertainty_score":0.9975622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002489805596432683,"score_gpt":0.1976200099030338,"score_spread":0.1951302043066011,"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."}}