{"id":"W4395959997","doi":"10.1088/978-0-7503-6244-3ch10","title":"Applications of vision transformers","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transformer; Computer science; Computer vision; Artificial intelligence; Optometry; Engineering; Medicine; Electrical engineering; Voltage","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":[0.0004220979,0.0009432817,0.0003666266,0.0009827894,0.0002816036,0.001974735,0.001304208,0.000921669,0.01453315],"category_scores_gemma":[0.001330743,0.0004958145,0.0007502507,0.001017667,0.0008795006,0.003146721,0.001260677,0.001775658,0.007485291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119019,"about_ca_system_score_gemma":0.0005344378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455012,"about_ca_topic_score_gemma":0.001386399,"domain_scores_codex":[0.9996233,0.0000401437,0.00001887498,0.0001035954,0.0001882843,0.00002588068],"domain_scores_gemma":[0.9996618,0.0001333214,0.0000148331,0.00008052956,0.00009329963,0.00001621433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005429615,0.00003637013,0.000313086,0.0004479402,0.00004251195,0.0001830996,0.0001457907,0.02056531,0.01577332,0.4240433,0.02659953,0.5117955],"study_design_scores_gemma":[0.00001544661,0.00009224989,0.0003929707,0.0001837504,0.00004035703,0.0015301,0.00007346671,0.1773677,0.04040713,0.3335132,0.4463348,0.00004878812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003215907,0.007879823,0.8899074,0.0007286699,0.0004249149,0.00007129741,0.0002100874,0.004016708,0.09354524],"genre_scores_gemma":[0.2711608,0.02844537,0.5239836,0.001299782,0.0005892752,0.000177158,0.00121385,0.001852568,0.1712776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01453315,"threshold_uncertainty_score":0.0486182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187633028154698,"score_gpt":0.2629347435249741,"score_spread":0.2441714407095043,"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."}}