{"id":"W3198090248","doi":"10.3390/rs13173527","title":"Wildfire Segmentation Using Deep Vision Transformers","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Segmentation; Transformer; Artificial intelligence; Architecture; Image segmentation; Pixel; Computer vision; Locality; Pattern recognition (psychology); Geography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007078786,0.0001001095,0.0001165328,0.00005406711,0.00009594129,0.00003981241,0.00001619036,0.00006943401,0.000009785411],"category_scores_gemma":[0.000007528031,0.0001138062,0.00006377453,0.0002226053,0.000009413028,0.000114566,0.000003994116,0.00009567399,0.00002124009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304819,"about_ca_system_score_gemma":0.00001295547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003605883,"about_ca_topic_score_gemma":0.00005210685,"domain_scores_codex":[0.9993669,0.00003191227,0.0001811199,0.000125507,0.0001327965,0.0001617661],"domain_scores_gemma":[0.9997983,0.00001562879,0.00001662212,0.00009532936,0.00002431336,0.00004983562],"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":[0.000002868631,0.000001313178,0.000002278012,0.0000425423,0.00001778148,0.00003163709,0.0004549099,0.02473352,0.4540454,0.000001024898,0.00001596718,0.5206507],"study_design_scores_gemma":[0.0001852103,0.000005850819,0.00004954379,0.00009330942,0.00001219763,0.0002319375,0.0005116422,0.9361121,0.06113008,0.00001835539,0.001524569,0.0001252165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5170968,0.0002455392,0.4786635,0.00004578261,0.0008197076,0.00006550735,5.391208e-7,0.0002292848,0.00283327],"genre_scores_gemma":[0.9845036,0.00008154064,0.01517724,0.00004862908,0.0001071923,3.67975e-9,0.000008527592,0.00003232807,0.00004100185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9113786,"threshold_uncertainty_score":0.4640882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037577293287493,"score_gpt":0.2327936083841358,"score_spread":0.2224178354512608,"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."}}