{"id":"W4416538181","doi":"10.1109/iccv51701.2025.00513","title":"Multispectral Demosaicing via Dual Cameras","year":2025,"lang":"en","type":"article","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Multispectral image; RGB color model; Demosaicing; Pixel; Image processing; Dual (grammatical number); Spectral imaging","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":[],"consensus_categories":[],"category_scores_codex":[0.00009664199,0.00005989807,0.00006274942,0.00009438927,0.000118573,0.00007522561,0.0001732078,0.00002892308,0.00004311809],"category_scores_gemma":[0.00001146145,0.00005240015,0.00004217332,0.0003761893,0.00001369131,0.000222214,0.00007596572,0.00006886744,0.0001107427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002877373,"about_ca_system_score_gemma":0.00002009958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001372477,"about_ca_topic_score_gemma":0.00006999889,"domain_scores_codex":[0.9994068,0.00002712577,0.0001212754,0.0002001473,0.00009969713,0.000144996],"domain_scores_gemma":[0.9997277,0.00001811327,0.00001801489,0.0001739001,0.00002967902,0.0000325911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006613435,0.0001498003,0.004481767,0.00001667134,0.00003593058,0.00001867738,0.0004149554,0.0001477724,0.05880198,0.5297852,0.005301728,0.4008389],"study_design_scores_gemma":[0.0008830507,0.0001428953,0.05383978,0.00002782837,0.00001012999,0.00004334315,0.0001036492,0.8164783,0.1042836,0.01429387,0.009533793,0.0003598505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04704992,0.00001497044,0.9337342,0.001069897,0.0006677191,0.00005469317,8.235118e-8,0.0002834657,0.01712505],"genre_scores_gemma":[0.980503,0.000001769591,0.01275341,0.00104559,0.00002137603,0.000003834571,3.59519e-7,0.000001743919,0.005668867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9334531,"threshold_uncertainty_score":0.2136816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007187694420495997,"score_gpt":0.2724951623164246,"score_spread":0.2653074678959286,"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."}}