{"id":"W1982887575","doi":"10.1139/x01-183","title":"Statistical quality control analysis of forest fire activity in Canada","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Forestry; Environmental science; Control chart; Statistical analysis; Statistical process control; Geography; Physical geography; Statistics; Process (computing); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05814436,0.0006365272,0.0012975,0.004866198,0.002445873,0.00208579,0.001999763,0.0005862036,0.00226696],"category_scores_gemma":[0.1875374,0.0004580471,0.001105011,0.01140432,0.002484785,0.0005337877,0.001173756,0.001245741,0.0002787226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01855716,"about_ca_system_score_gemma":0.05026818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7632802,"about_ca_topic_score_gemma":0.7199091,"domain_scores_codex":[0.9080792,0.02179695,0.01178004,0.006259131,0.04874074,0.0033439],"domain_scores_gemma":[0.7281181,0.05649672,0.01996343,0.02629377,0.1666322,0.002495631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003666737,0.0003744968,0.5233169,0.001786119,0.001824189,0.0003908564,0.005273576,0.0228186,0.005884107,0.0164145,0.0474321,0.3708178],"study_design_scores_gemma":[0.0002757269,0.0008412889,0.8784887,0.0003770834,0.0004834794,0.0001258889,0.0008757461,0.03626709,0.006170785,0.001989543,0.07397468,0.0001300193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4351524,0.003846301,0.4368779,0.00121339,0.0009300592,0.02807507,0.05514105,0.005440313,0.03332355],"genre_scores_gemma":[0.7797677,0.0008543653,0.1682156,0.000382962,0.0001611275,0.01748006,0.02172802,0.0008279292,0.01058231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2367198,"threshold_uncertainty_score":0.4762277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03642557819402766,"score_gpt":0.3033500247302556,"score_spread":0.266924446536228,"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."}}