{"id":"W4313576996","doi":"10.3390/s23020599","title":"Infrared and Visible Image Fusion Technology and Application: A Review","year":2023,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; Chongqing Municipal Education Commission; Beijing Academy of Agricultural and Forestry Sciences; Natural Science Foundation of Chongqing","keywords":"Artificial intelligence; Computer vision; Image fusion; Computer science; Pixel; Image sensor; Night vision; Infrared; Fusion; Visible spectrum; Noise (video); Interference (communication); Image (mathematics); Materials science; Optics; Telecommunications; Optoelectronics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001198907,0.0003278797,0.001032663,0.0004634468,0.0000505477,0.00001882141,0.0001454681,0.000283549,0.00001885061],"category_scores_gemma":[0.0001046117,0.0002960587,0.00007194057,0.001013173,0.00009531602,0.0000577484,0.0001938062,0.0003670777,0.0001187446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003938644,"about_ca_system_score_gemma":0.00001390064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.391002e-7,"about_ca_topic_score_gemma":4.970773e-7,"domain_scores_codex":[0.9989126,0.00002538039,0.0004200857,0.0003486625,0.00009124679,0.0002019626],"domain_scores_gemma":[0.9992407,0.00007132237,0.000102408,0.0004880283,0.00003758095,0.00005994571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.378519e-7,0.000001582406,6.586343e-8,0.05686176,0.0000152129,0.00001103945,0.000003561451,3.347114e-7,0.00001641278,0.00008958545,0.002633369,0.9403669],"study_design_scores_gemma":[0.00003245029,0.00001039613,2.011101e-7,0.02729694,0.0001244528,0.00009638466,0.000004555322,0.0001358528,0.00002646901,0.001069735,0.9709282,0.0002743612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001384538,0.9938319,0.001095889,0.00004063118,0.00003882008,0.001202434,0.0000269742,0.002190539,0.001571479],"genre_scores_gemma":[8.93727e-8,0.9906792,0.007902808,0.00002103872,0.00003573436,0.0003335961,0.00003824035,0.0001177528,0.0008715235],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9682949,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465976936253271,"score_gpt":0.3109269910545813,"score_spread":0.2962672216920486,"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."}}