{"id":"W2594942036","doi":"","title":"Can Tree Ring Analyses Predict Resilience of Black Spruce Forests to Fire in Interior Alaska","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Black spruce; Dendrochronology; Forestry; Resilience (materials science); Geography; Tree (set theory); Taiga; Environmental science; Physical geography; Archaeology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001119685,0.0001983028,0.0003340796,0.00009681087,0.0000360987,0.00003003534,0.0005243662,0.00007570624,0.000013318],"category_scores_gemma":[0.001029924,0.0001837732,0.00005507049,0.0005191048,0.0001160833,0.0002198793,0.0004282031,0.0001353657,0.0002014836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003931445,"about_ca_system_score_gemma":0.00003049007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03806062,"about_ca_topic_score_gemma":0.2334517,"domain_scores_codex":[0.9979098,0.0001711051,0.0004893275,0.0004497341,0.0005312048,0.0004488291],"domain_scores_gemma":[0.9989445,0.000140655,0.0001969396,0.0004167958,0.00002257769,0.0002785465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003452334,0.00002995532,0.9624763,0.00003811242,0.000007297925,0.0000203207,0.00252291,0.01408116,0.01494092,0.000001021784,0.002616476,0.00323107],"study_design_scores_gemma":[0.0007551505,0.0004079519,0.8847423,0.0008654881,0.00002116905,0.00001054566,0.001236958,0.09790947,0.01302779,0.00004110193,0.0005668801,0.0004152121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912509,0.00005730403,0.00005058373,0.0002097102,0.0001659156,0.0003838387,0.000006489773,0.00004585098,0.007829379],"genre_scores_gemma":[0.9985307,0.000002183337,0.00104522,0.00005022269,0.00005085753,0.00002396384,0.000002045835,0.00002419661,0.0002706011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1953911,"threshold_uncertainty_score":0.968345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214270995566602,"score_gpt":0.2797473017710957,"score_spread":0.2576045918154297,"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."}}