{"id":"W4413176566","doi":"10.18280/ts.420417","title":"Hybrid Approach to Detect Fog Level Using CNN and Defog the Video Sequence Using GAN","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequence (biology); Computer science; Artificial intelligence; Pattern recognition (psychology); Computer vision; Biology","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":[0.0004085988,0.0001485533,0.0001401661,0.0001340568,0.0002501909,0.00006314464,0.0001286458,0.00004932495,0.0002482678],"category_scores_gemma":[0.00001556797,0.000118483,0.00005535822,0.000181152,0.00007220764,0.00007083853,0.00003835633,0.0001365964,0.00002073302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006708672,"about_ca_system_score_gemma":0.00004360621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413223,"about_ca_topic_score_gemma":0.0000114561,"domain_scores_codex":[0.9988509,0.0001626742,0.0002449914,0.0003288731,0.0001442087,0.0002683129],"domain_scores_gemma":[0.9995922,0.00006372326,0.00006081009,0.0001596146,0.00005275842,0.00007089894],"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":[0.0006436763,0.0008976272,0.003283327,0.0003274586,0.000910141,0.00006462958,0.00910264,0.004923884,0.4898382,0.02390134,0.007148662,0.4589584],"study_design_scores_gemma":[0.03114815,0.002665384,0.2227412,0.002819643,0.00376708,0.003267662,0.01926415,0.3315549,0.2644374,0.05192189,0.05961771,0.006794864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6801136,0.00009392772,0.3092312,0.0002461455,0.0002650268,0.0004737441,0.00002263249,0.00004222021,0.009511431],"genre_scores_gemma":[0.9923664,0.000002769988,0.005359643,0.00173528,0.0001133351,0.00003122113,0.000009837939,0.00001394683,0.0003675435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521635,"threshold_uncertainty_score":0.4831597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1510685561052868,"score_gpt":0.3472732969646962,"score_spread":0.1962047408594094,"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."}}