{"id":"W1989955081","doi":"10.1111/j.1654-1103.2011.01338.x","title":"The influence of landscape‐level heterogeneity in fire frequency on canopy composition in the boreal forest of eastern Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Forest Service; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"","keywords":"Taiga; Abies balsamea; Ecological succession; Ecology; Abundance (ecology); Canopy; Relative species abundance; Fire regime; Boreal; Fire ecology; Edaphic; Geography; Vegetation (pathology); Black spruce; Environmental gradient; Environmental science; Physical geography; Balsam; Ecosystem; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896765,0.00006902136,0.0001271974,0.00006695865,0.00007590547,0.00001531282,0.0006610594,0.00002043107,0.000002764314],"category_scores_gemma":[0.0001481687,0.00003993909,0.00002612592,0.0005660835,0.0002781986,0.0004009856,0.00003086362,0.0001285079,0.00000167518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008262,"about_ca_system_score_gemma":0.0002062038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1719525,"about_ca_topic_score_gemma":0.6284996,"domain_scores_codex":[0.9982305,0.0001489194,0.000489273,0.0001047563,0.0008672809,0.0001593111],"domain_scores_gemma":[0.9989657,0.0001981556,0.0005548595,0.0001742641,0.00006265331,0.00004431107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002642324,0.00005270631,0.9797687,0.00001029966,0.000001615229,0.00001038996,0.00132255,0.008000919,0.009672975,0.00006441942,0.000009373768,0.001059636],"study_design_scores_gemma":[0.000199412,0.0001723628,0.9902168,0.0000994696,0.000002396788,0.00002172659,0.0001362231,0.004433003,0.004552247,0.0001228403,0.000003302887,0.00004025126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988113,0.00003216107,0.00002506762,0.0000991019,0.0001021552,0.0001318046,0.000002381116,6.986286e-7,0.0007953459],"genre_scores_gemma":[0.9997844,0.000006545099,0.0001282165,0.00006734969,0.000006972364,0.000002825452,2.052926e-7,0.000002367636,0.000001187804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4565471,"threshold_uncertainty_score":0.8335615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792607185204627,"score_gpt":0.2361761785084863,"score_spread":0.21825010665644,"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."}}