{"id":"W2152851367","doi":"10.3170/2007-8-18313","title":"Fire and the relative roles of weather, climate and landscape characteristics in the Great Lakes‐St. Lawrence forest of Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deciduous; Fire ecology; Precipitation; Fire regime; Physical geography; Geography; Environmental science; Land cover; Population; Ecology; Climate change; Land use; Ecosystem; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004256995,0.00005734095,0.0001520557,0.00003889822,0.00009762659,0.00002181432,0.0002455865,0.00001726691,0.000005185381],"category_scores_gemma":[0.000373987,0.00002981272,0.00001623751,0.0003325886,0.0006307488,0.0003558801,0.00004254112,0.0001002802,2.878046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004226212,"about_ca_system_score_gemma":0.0000610803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003579765,"about_ca_topic_score_gemma":0.1103156,"domain_scores_codex":[0.998784,0.00008262975,0.0003676689,0.00008409783,0.0005467829,0.0001348351],"domain_scores_gemma":[0.9986912,0.0005932235,0.0005369239,0.00009205045,0.00004527959,0.00004129391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009953567,0.00002540903,0.9788505,0.00003904061,0.000005164336,0.00001596572,0.007081537,0.0002119434,0.003790271,0.0009560811,0.00003226813,0.008892242],"study_design_scores_gemma":[0.0003860448,0.00008167591,0.9893804,0.00009093619,0.000008284346,0.00006438654,0.0005543381,0.008745344,0.0003282108,0.0002609611,0.00006294643,0.0000364889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998382,0.0002177585,0.0001347922,0.0002895,0.00006782327,0.0001040976,0.00000299612,6.36117e-7,0.0008004211],"genre_scores_gemma":[0.9996985,0.00007596883,0.0001538708,0.00005175195,0.00001039924,6.885462e-7,1.174218e-7,0.000001953328,0.000006769479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1067359,"threshold_uncertainty_score":0.9059188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0056133391311285,"score_gpt":0.2165805160047033,"score_spread":0.2109671768735748,"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."}}