{"id":"W4284895937","doi":"10.1109/itec53557.2022.9813980","title":"Temperature Effect on Thermal Imaging and Deep Learning Detection Models","year":2022,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Infrared; Computer science; Artificial intelligence; Object detection; Deep learning; Detector; Computer vision; Remote sensing; Thermography; Environmental science; Pattern recognition (psychology); Geology; Optics; Physics; Telecommunications","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":[0.001346415,0.0009870972,0.0004343176,0.0003406384,0.0002532327,0.0008192623,0.0008621813,0.0008187661,0.001053786],"category_scores_gemma":[0.003661888,0.0003257978,0.0005546377,0.0003939228,0.0004728511,0.001195523,0.0006478019,0.001140705,0.0003120893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009723113,"about_ca_system_score_gemma":0.0004782761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00763673,"about_ca_topic_score_gemma":0.007181177,"domain_scores_codex":[0.9995996,0.0000851166,0.00002379277,0.0001458406,0.00006836683,0.00007718238],"domain_scores_gemma":[0.9991755,0.0003850539,0.0001034364,0.00008079754,0.0002222421,0.00003302903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004267078,0.000211251,0.009762607,0.0001008194,0.0001070655,0.0001048984,0.00008724756,0.8483676,0.01797705,0.001862909,0.001246706,0.1197451],"study_design_scores_gemma":[0.000003456471,0.00005029186,0.001185453,0.000008790084,0.00001624848,0.00001569575,0.000009149644,0.9923388,0.005701718,0.000482667,0.0001815271,0.000006225832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6454068,0.001899174,0.3452336,0.0007194626,0.0002546552,0.00006307367,0.000344576,0.001320539,0.004758078],"genre_scores_gemma":[0.9716277,0.0002951911,0.02520027,0.0001263235,0.00003067794,0.00003225121,0.0003151074,0.00005348731,0.00231897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00763673,"threshold_uncertainty_score":0.01518452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008723129626030068,"score_gpt":0.2130002196285801,"score_spread":0.2042770900025501,"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."}}