{"id":"W4394597994","doi":"10.1109/wacv57701.2024.00729","title":"PAIR : Perception Aided Image Restoration for Natural Driving Conditions","year":2024,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Faurecia (Canada)","funders":"","keywords":"Natural (archaeology); Perception; Image restoration; Computer science; Computer vision; Artificial intelligence; Image (mathematics); Image processing; Geology; Psychology; Neuroscience","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":[0.0003287441,0.0009904201,0.0005530593,0.0005530848,0.000267098,0.0006823325,0.001167182,0.0007934954,0.005127632],"category_scores_gemma":[0.0007189363,0.0003043181,0.0005187426,0.0001904362,0.0003824829,0.000854703,0.00146891,0.0008366482,0.001872363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456459,"about_ca_system_score_gemma":0.0005774144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073845,"about_ca_topic_score_gemma":0.00221675,"domain_scores_codex":[0.9997299,0.00002300868,0.000009044101,0.00007061857,0.0001272433,0.00004007239],"domain_scores_gemma":[0.9997557,0.00002813756,0.00002655427,0.00008361327,0.00007966672,0.00002634335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008119525,0.0003571135,0.001855676,0.0004123282,0.0001708433,0.0006600599,0.0002634207,0.06422645,0.3134341,0.00549833,0.01595564,0.596354],"study_design_scores_gemma":[0.00006953297,0.0005377554,0.0027847,0.00002874753,0.00006230637,0.00103125,0.00009132914,0.7995371,0.168002,0.004263479,0.02351944,0.00007236038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04077809,0.0003154664,0.9455172,0.0001276791,0.0002041976,0.0002000005,0.0002447568,0.007540481,0.005072148],"genre_scores_gemma":[0.4038194,0.0002480519,0.5823874,0.0002163984,0.00008376985,0.0001509617,0.0008277989,0.0006587112,0.01160746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005127632,"threshold_uncertainty_score":0.01715368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629336887859253,"score_gpt":0.3332066690394903,"score_spread":0.3169133001608977,"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."}}