{"id":"W4396585407","doi":"10.3390/rs16091627","title":"SWIFT: Simulated Wildfire Images for Fast Training Dataset","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Swift; Training (meteorology); Remote sensing; Environmental science; Computer science; Meteorology; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009369735,0.002261025,0.0008487368,0.001468155,0.0006793487,0.0006637385,0.002386192,0.001632619,0.006185558],"category_scores_gemma":[0.001804281,0.0004510629,0.001435672,0.001265887,0.0004768301,0.0009270731,0.0008281199,0.002061668,0.004308627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084361,"about_ca_system_score_gemma":0.001288975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02721812,"about_ca_topic_score_gemma":0.0674701,"domain_scores_codex":[0.9994974,0.00005108536,0.00003472706,0.0001446289,0.0001743844,0.00009780633],"domain_scores_gemma":[0.9995278,0.0000857497,0.00003597499,0.0001354931,0.0001470844,0.00006798087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001113105,0.002123608,0.01179275,0.001173245,0.0003797339,0.0008889316,0.0001482931,0.08253071,0.01543291,0.001869888,0.7474967,0.1350503],"study_design_scores_gemma":[0.001013126,0.0006916948,0.04253649,0.0003360303,0.0001728799,0.001606412,0.0003942648,0.6719671,0.04428147,0.004850051,0.231874,0.0002764795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.2154711,0.002200658,0.03520376,0.001717393,0.002028825,0.00138188,0.6925013,0.03491582,0.01457924],"genre_scores_gemma":[0.1271278,0.0004896555,0.0516391,0.0003430654,0.0001107809,0.0005755579,0.8147092,0.0008190382,0.004185858],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02721812,"threshold_uncertainty_score":0.05411941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115629115829634,"score_gpt":0.2519840643115534,"score_spread":0.2308277731532571,"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."}}