{"id":"W4377832605","doi":"10.18280/ts.400224","title":"Smart Energy Monitoring and Analysis Method Based on Image Recognition Technology","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Huanghuai University; Natural Science Foundation of Henan Province","keywords":"Computer science; Artificial intelligence; Energy (signal processing); Computer vision; Image (mathematics); Pattern recognition (psychology); Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000335144,0.0005697357,0.0005759447,0.001290456,0.0002558495,0.0008541624,0.0007814581,0.0006563006,0.001934232],"category_scores_gemma":[0.0008153851,0.0002802278,0.0005729448,0.001057268,0.0003720761,0.001600231,0.0004081851,0.0005586636,0.001081476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298686,"about_ca_system_score_gemma":0.0003670426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008032473,"about_ca_topic_score_gemma":0.0005597104,"domain_scores_codex":[0.9993298,0.00005974797,0.00003976294,0.0001868716,0.0003456219,0.00003820568],"domain_scores_gemma":[0.9997066,0.00005471574,0.00004382936,0.00005479768,0.0001272661,0.00001273994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001516917,0.00009730719,0.001894055,0.0002185465,0.00006164728,0.000133586,0.0001134697,0.01681142,0.1775635,0.006343151,0.003061368,0.7935503],"study_design_scores_gemma":[0.00004573069,0.0003260556,0.005570401,0.0000440677,0.0001197199,0.001015974,0.00008871198,0.7585719,0.2137434,0.004507822,0.01584633,0.0001199901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01330329,0.0003714644,0.9815243,0.0001093613,0.00008260061,0.00006686598,0.00003797655,0.00172553,0.002778554],"genre_scores_gemma":[0.411297,0.001266392,0.5783901,0.0002475681,0.000139416,0.0002031295,0.000256014,0.0001654531,0.008034968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001934232,"threshold_uncertainty_score":0.006470621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403837342172665,"score_gpt":0.2599194214847872,"score_spread":0.2458810480630606,"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."}}