{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004988715,0.001009163,0.0006574371,0.001149064,0.0002434714,0.001247946,0.001117259,0.0007964115,0.001463898],"category_scores_gemma":[0.0009484654,0.0004086375,0.0009239105,0.0005739108,0.0004897549,0.001709378,0.0008438102,0.000900122,0.000583361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107446,"about_ca_system_score_gemma":0.001120174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262464,"about_ca_topic_score_gemma":0.00694792,"domain_scores_codex":[0.9998,0.0000179756,0.000009179383,0.00008494251,0.00004580618,0.00004207474],"domain_scores_gemma":[0.9998155,0.00005209073,0.00003150598,0.00002968759,0.00004745186,0.00002378949],"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":[0.0005306175,0.0002490481,0.003316492,0.0002082627,0.0001469359,0.0002466931,0.00009564965,0.4336668,0.05135943,0.01107262,0.00321558,0.4958919],"study_design_scores_gemma":[0.000006852777,0.00004725658,0.0003748873,0.000008315238,0.00001844206,0.00006602724,0.00001100358,0.9849231,0.01125026,0.002674394,0.0006129387,0.000006485605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06550967,0.0005451263,0.9269075,0.000145698,0.00007116733,0.00008349173,0.000234414,0.004334185,0.002168881],"genre_scores_gemma":[0.79456,0.0005300246,0.2007167,0.0001856389,0.00003981794,0.00005502244,0.0008357091,0.0002294307,0.002847721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005262464,"threshold_uncertainty_score":0.01046365,"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."}}