{"id":"W2956075495","doi":"10.1117/3.2316455.ch10","title":"Image Fusion Evaluation","year":2018,"lang":"en","type":"book-chapter","venue":"SPIE eBooks","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia","funders":"","keywords":"Image fusion; Computer science; Artificial intelligence; Metric (unit); Usability; Fusion; Set (abstract data type); Process (computing); Computer vision; Visualization; Face (sociological concept); Image (mathematics); Pattern recognition (psychology); Engineering; Human–computer interaction","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":[0.01029718,0.002194645,0.001635395,0.006982461,0.001225002,0.004767422,0.00184717,0.001648045,0.02322258],"category_scores_gemma":[0.02695017,0.0003292607,0.001587445,0.004406062,0.0008263084,0.003622832,0.00275973,0.0009457939,0.008696684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316062,"about_ca_system_score_gemma":0.001740322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003960332,"about_ca_topic_score_gemma":0.002914698,"domain_scores_codex":[0.9852151,0.002181583,0.00117284,0.001118756,0.009694227,0.0006176231],"domain_scores_gemma":[0.982896,0.003248404,0.0008471819,0.00143411,0.0112335,0.0003408447],"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":[0.001298839,0.0003388772,0.006752248,0.002425242,0.0004821704,0.0002414779,0.0002803694,0.02721326,0.01194012,0.01018174,0.09045374,0.8483919],"study_design_scores_gemma":[0.0004025103,0.003273124,0.04455704,0.002366824,0.001203516,0.00282827,0.002309343,0.3487688,0.1071595,0.03158744,0.4549031,0.0006405254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08432635,0.02495994,0.6357841,0.00302292,0.003444009,0.006438264,0.02525341,0.01530462,0.2014665],"genre_scores_gemma":[0.5167981,0.01141069,0.3598056,0.00163946,0.0007758053,0.003569894,0.05221745,0.003513613,0.05026945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02322258,"threshold_uncertainty_score":0.0776872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193513690126849,"score_gpt":0.2630435402598189,"score_spread":0.243692171247134,"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."}}