{"id":"W4413834860","doi":"10.24908/iqurcp19107","title":"How Wildfire Intensity Impacts the Extent and Speed of Vegetation Succession: Old Fire versus Cedar Fire – California, USA 2003","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Ecological succession; Vegetation (pathology); Environmental science; Wildfire suppression; Forestry; Physical geography; Geography; Ecology; Firefighting; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002200278,0.0003456847,0.0004523666,0.0001531799,0.0006124935,0.0005379287,0.0007801634,0.0002113024,0.00003775232],"category_scores_gemma":[0.002171705,0.0002507533,0.00007332028,0.001764186,0.0017662,0.0009175673,0.0008339389,0.0007750146,0.00008831923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00050763,"about_ca_system_score_gemma":0.0002146117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005767766,"about_ca_topic_score_gemma":0.000315918,"domain_scores_codex":[0.9962744,0.0002008349,0.0004382063,0.0007896083,0.001435015,0.0008619588],"domain_scores_gemma":[0.9980559,0.0004269586,0.0002571269,0.0003887442,0.0005784192,0.0002928667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003565491,0.0008175182,0.5787827,0.003652741,0.0006019543,0.0001147149,0.01297066,0.0000511301,0.09747391,0.01383716,0.1059606,0.1821714],"study_design_scores_gemma":[0.009156727,0.003866225,0.6178883,0.007496609,0.0003282866,0.0001210776,0.02078084,0.2015483,0.07838454,0.03033184,0.02740526,0.002692013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668953,0.0002264769,0.0001032102,0.02913354,0.0004038689,0.001199091,0.000009230353,0.00005514387,0.00197408],"genre_scores_gemma":[0.9977055,0.0004983942,0.000114648,0.0000943474,0.00007425037,0.00006153374,0.000007781334,0.00002477854,0.001418829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2014972,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04852456325696441,"score_gpt":0.3232289153692681,"score_spread":0.2747043521123037,"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."}}