{"id":"W3011344217","doi":"10.1080/07038992.2020.1735931","title":"An Improved Approach for Selecting and Validating Burn Severity Indices in Forested Landscapes","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Field (mathematics); Index (typography); Environmental science; Environmental resource management; Computer science; Statistics; Geography; Physical geography; Mathematics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006802599,0.0001077397,0.0002169224,0.00008311429,0.000144611,0.000104689,0.0001100181,0.00006613604,0.00000476364],"category_scores_gemma":[0.0003515215,0.0001044493,0.00003387692,0.0002336276,0.00003109018,0.0003022666,0.00001266922,0.0002173913,5.553267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592287,"about_ca_system_score_gemma":0.00008904702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02094784,"about_ca_topic_score_gemma":0.08550456,"domain_scores_codex":[0.9990379,0.00009671455,0.0002821795,0.0001794166,0.0001000752,0.0003037711],"domain_scores_gemma":[0.9990959,0.00007649211,0.000234707,0.00006603128,0.00002005084,0.0005068079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006829471,0.000008114434,0.1087645,0.0001962783,0.00003559974,0.0001426507,0.01293241,0.003154536,0.04291871,9.145594e-7,0.0001020639,0.8316759],"study_design_scores_gemma":[0.0004590457,0.0001757948,0.009621863,0.0000632911,0.00001276422,0.0002608192,0.0008838036,0.9867942,0.001110507,0.00002531111,0.0004514443,0.0001411327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731954,0.00004854728,0.02608829,0.0001929474,0.0000627278,0.0002015347,0.00000289495,0.000007056834,0.0002006414],"genre_scores_gemma":[0.8934465,8.690752e-7,0.1062606,0.0001565903,0.0001156607,3.166841e-8,0.00000210548,0.00001597639,0.000001632555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9836397,"threshold_uncertainty_score":0.9855717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229783730449452,"score_gpt":0.2143542366904446,"score_spread":0.2020563993859501,"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."}}