{"id":"W2017626840","doi":"10.1109/icip.2013.6738487","title":"Near-infrared guided color image dehazing","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Qualcomm (Canada)","funders":"","keywords":"RGB color model; Artificial intelligence; Computer science; Computer vision; Color image; Haze; Image (mathematics); Near-infrared spectroscopy; Image processing; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001521339,0.0001129636,0.0001083802,0.00005021037,0.0001121172,0.0006643958,0.0008868152,0.00003800571,0.0007287209],"category_scores_gemma":[0.00005386011,0.00009798945,0.00003957967,0.000240665,0.00005051674,0.001645713,0.0004045818,0.00007318189,0.001882131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004240793,"about_ca_system_score_gemma":0.00004278564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142522,"about_ca_topic_score_gemma":0.00000200463,"domain_scores_codex":[0.9989889,0.00002894265,0.0002012578,0.0002810238,0.0001989276,0.0003009592],"domain_scores_gemma":[0.9990849,0.00003719155,0.00005205156,0.0006068359,0.0001504682,0.00006855935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001004091,0.0000607684,0.0001899449,0.00001175025,0.00001218001,0.00001737102,0.0003353733,0.000002014837,0.3232854,0.02177296,0.6181905,0.0361208],"study_design_scores_gemma":[0.0002995164,0.00009230932,0.001544425,0.00001596511,0.000002790971,0.00001385998,0.00001799515,0.1387102,0.8257053,0.0122537,0.02098334,0.0003606335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0146269,0.00001125914,0.8490602,0.001124387,0.0001117579,0.0003306548,1.607674e-7,0.001262524,0.1334721],"genre_scores_gemma":[0.1074924,0.000002674705,0.880867,0.001362711,0.00002706285,0.00010273,8.883587e-7,0.000009256561,0.01013525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5972071,"threshold_uncertainty_score":0.998895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326278127835131,"score_gpt":0.2572286793040579,"score_spread":0.2439658980257065,"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."}}