{"id":"W4321190520","doi":"10.1016/j.inffus.2023.02.020","title":"The registration of visible and thermal images through multi-objective optimization","year":2023,"lang":"en","type":"article","venue":"Information Fusion","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affine transformation; Robustness (evolution); Image registration; Computer science; Artificial intelligence; Computer vision; Stochastic gradient descent; Image (mathematics); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001296057,0.0007546383,0.000932931,0.0007932247,0.0003428129,0.001222094,0.0009698323,0.00125764,0.001093535],"category_scores_gemma":[0.002722813,0.0005437705,0.001014339,0.001073315,0.0007645141,0.001648496,0.001003831,0.001089293,0.0004434689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00059296,"about_ca_system_score_gemma":0.001188575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003187802,"about_ca_topic_score_gemma":0.003024162,"domain_scores_codex":[0.9994808,0.0001341817,0.00002550833,0.0001146864,0.000195136,0.00004972575],"domain_scores_gemma":[0.9994573,0.0002280265,0.0001064349,0.00006646768,0.0001143839,0.00002747069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002834486,0.0001296077,0.0006378092,0.0001951777,0.0001265758,0.00006783298,0.0001228376,0.772458,0.02958037,0.01368489,0.001484977,0.1812285],"study_design_scores_gemma":[0.000007023904,0.00002812181,0.0002210971,0.000005562452,0.00001235311,0.00001710876,0.00001083837,0.9937792,0.003679881,0.001744191,0.0004842953,0.00001024849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0111198,0.0001810248,0.9873682,0.00009020721,0.00003545766,0.00002339423,0.00002214081,0.0002067899,0.0009530117],"genre_scores_gemma":[0.3195097,0.0003512644,0.6750261,0.00009254835,0.00006613653,0.0001255307,0.0002149316,0.0003412896,0.004272466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003187802,"threshold_uncertainty_score":0.006854296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604711582801523,"score_gpt":0.2852009651033287,"score_spread":0.2691538492753135,"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."}}