{"id":"W4402927526","doi":"10.3390/fire7100343","title":"Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image","year":2024,"lang":"en","type":"article","venue":"Fire","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Aerial image; RGB color model; Thermal infrared; Artificial intelligence; Remote sensing; Environmental science; Computer science; Computer vision; Infrared; Image (mathematics); Geology; Optics; Physics","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":[0.00009546843,0.0001087009,0.0001152514,0.00003559417,0.000107062,0.0001160175,0.00003012782,0.00009718754,0.00003234723],"category_scores_gemma":[0.00002129691,0.0001070223,0.00004816863,0.00009071216,0.00001489216,0.000171025,0.00001053804,0.00013749,0.0000125707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003353224,"about_ca_system_score_gemma":0.000006565492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002231863,"about_ca_topic_score_gemma":0.000001907602,"domain_scores_codex":[0.9994868,0.00002111963,0.0001357431,0.0001459384,0.00006114834,0.0001492337],"domain_scores_gemma":[0.9998396,0.00003219138,0.00001297585,0.00005913441,0.00001663474,0.00003943163],"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":[0.000159589,0.00002675953,0.0002045832,0.003288651,0.0002606114,0.00002939569,0.006392077,0.1253652,0.0448656,0.00001173544,0.003008301,0.8163875],"study_design_scores_gemma":[0.0002635811,0.00002765357,0.0001436942,0.00007432932,0.00001824278,0.0000352539,0.0001239845,0.9897909,0.0002785401,0.00001473105,0.00908452,0.000144597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632809,0.001426478,0.03155943,0.00001926863,0.0009477005,0.0003343563,0.00002712023,0.0006581598,0.001746604],"genre_scores_gemma":[0.9960487,0.00003284408,0.002963497,0.00001029971,0.0005862156,0.00003941149,0.00008544616,0.00004579513,0.0001877597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8644257,"threshold_uncertainty_score":0.4364244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588150960682602,"score_gpt":0.2135969920065807,"score_spread":0.1977154823997547,"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."}}