{"id":"W2149604743","doi":"10.1007/s11760-007-0025-4","title":"Context enhancement through infrared vision: a modified fusion scheme","year":2007,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Infrared; Scheme (mathematics); Context (archaeology); Fusion; Computer science; Computer vision; Artificial intelligence; Optics; Physics; Mathematics; Geography","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":[0.0006780535,0.0006883744,0.0006897565,0.0006740167,0.0004288057,0.0007592671,0.0008332494,0.0009097465,0.002320884],"category_scores_gemma":[0.001189634,0.0002799525,0.0006779998,0.0006749041,0.0003033567,0.001315035,0.001217621,0.0009070072,0.0007776157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622993,"about_ca_system_score_gemma":0.0004372525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109886,"about_ca_topic_score_gemma":0.001981676,"domain_scores_codex":[0.9995938,0.0000777235,0.00002184282,0.0001004728,0.0001555461,0.00005069729],"domain_scores_gemma":[0.9996684,0.00005463205,0.0000260561,0.0000906874,0.0001365548,0.00002370492],"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":[0.0007057305,0.0001741171,0.0007213869,0.0001487181,0.0001034688,0.0001074763,0.0001454977,0.01321894,0.3213259,0.009580805,0.002528771,0.6512392],"study_design_scores_gemma":[0.0001154812,0.0006025623,0.003544439,0.00004699677,0.0003537312,0.0008771236,0.00008301379,0.6874201,0.2807691,0.00761867,0.01844698,0.0001216931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0284277,0.0009216366,0.9667752,0.0001895889,0.0002081984,0.00007222507,0.00007137981,0.0005952307,0.002738883],"genre_scores_gemma":[0.2492739,0.0007416982,0.7429404,0.0002206655,0.0002075263,0.0000837008,0.0001566975,0.00009136623,0.00628399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002320884,"threshold_uncertainty_score":0.007764161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325510069979705,"score_gpt":0.2862675198085921,"score_spread":0.273012419108795,"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."}}