{"id":"W4403947296","doi":"10.1007/978-3-031-73247-8_10","title":"Intrinsic Single-Image HDR Reconstruction","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computer vision; Computer graphics (images); Artificial intelligence; Image (mathematics)","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":[0.0002211586,0.0005536785,0.0004035673,0.0004758949,0.0001539455,0.0009403143,0.0006229877,0.0005057722,0.02396485],"category_scores_gemma":[0.0004077393,0.0003403515,0.0003481222,0.000479991,0.000271022,0.001154754,0.0007042211,0.000733819,0.01340715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173107,"about_ca_system_score_gemma":0.000219558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311912,"about_ca_topic_score_gemma":0.0003438529,"domain_scores_codex":[0.9998697,0.00000972967,0.000005152345,0.00002603668,0.0000776427,0.00001183682],"domain_scores_gemma":[0.9997719,0.00004585423,0.00001478014,0.0000892368,0.00006670314,0.0000114951],"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":[0.0001392883,0.00006939937,0.00036704,0.0005640792,0.00003993687,0.0002134235,0.0001108295,0.01096492,0.2635799,0.03690959,0.01871777,0.6683239],"study_design_scores_gemma":[0.00001803289,0.0001589303,0.00242388,0.0001668873,0.00007443284,0.005366204,0.00009276825,0.200619,0.566352,0.01875007,0.2059192,0.00005866128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004934355,0.0008993677,0.9612104,0.00008396626,0.0001412145,0.00003477334,0.000242838,0.001359212,0.03109392],"genre_scores_gemma":[0.09483926,0.003536666,0.7713283,0.0001845229,0.0001734269,0.00004620391,0.001129947,0.001134513,0.1276271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02396485,"threshold_uncertainty_score":0.08017039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496011398587812,"score_gpt":0.2421848518064595,"score_spread":0.2272247378205814,"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."}}