{"id":"W4400042733","doi":"10.18280/ts.410327","title":"Building Energy Efficiency Analysis and Diagnosis Using Integrated Image Processing and Thermal Imaging Technologies","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image processing; Efficient energy use; Thermal; Computer science; Computer vision; Image (mathematics); Artificial intelligence; Engineering; Physics; Electrical engineering; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003606685,0.0002251904,0.0002371042,0.0007462644,0.0001513998,0.0003553411,0.0001013871,0.00006946672,0.00004552614],"category_scores_gemma":[0.0000462346,0.0001981919,0.00006299117,0.001072326,0.0001423455,0.0003952038,0.00006405447,0.0001857235,4.805194e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008295991,"about_ca_system_score_gemma":0.00001537472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002971905,"about_ca_topic_score_gemma":0.000002555785,"domain_scores_codex":[0.9989334,0.00005202176,0.0002604642,0.0003140486,0.0001432354,0.0002967925],"domain_scores_gemma":[0.99964,0.0001695606,0.00002949761,0.00008994141,0.00003809066,0.00003284361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006662006,0.00001087076,0.002895276,0.0001931405,0.0002729209,0.0000492248,0.0004730537,0.02672139,0.5583087,0.0002877414,0.00001501616,0.4107659],"study_design_scores_gemma":[0.00008658334,0.00001517089,0.0007793193,0.00008595319,0.0002505825,0.00001673506,0.0005812988,0.7571233,0.2403252,0.0003353631,0.0001838932,0.0002166423],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5153752,0.004666544,0.4787015,0.00003645043,0.00006309237,0.00004982634,0.000005998519,0.001051888,0.00004956162],"genre_scores_gemma":[0.8766584,0.0001498511,0.1230782,0.00001102774,0.00003397124,0.00003521349,0.0000025644,0.00002833908,0.000002382067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7304019,"threshold_uncertainty_score":0.8082032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571865007679069,"score_gpt":0.2584952406682528,"score_spread":0.2427765905914621,"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."}}