{"id":"W3204276937","doi":"10.1109/icas49788.2021.9551148","title":"Thermal Face Image Generator","year":2021,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Image translation; Image (mathematics); Generator (circuit theory); Face (sociological concept); Computer science; Task (project management); Artificial intelligence; Translation (biology); Computer vision; Thermal; Facial recognition system; Measure (data warehouse); Pattern recognition (psychology); Data mining; Engineering; Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008554761,0.00008687623,0.00009386196,0.00001523594,0.00009556059,0.0002395728,0.0003226798,0.00002766246,0.0004197453],"category_scores_gemma":[0.00002828564,0.00007074705,0.00005967092,0.0002076117,0.00001999138,0.0004234896,0.0002197469,0.00005336368,0.0002337645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001013402,"about_ca_system_score_gemma":0.00006772025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007591832,"about_ca_topic_score_gemma":0.00001146116,"domain_scores_codex":[0.9992261,0.00007877566,0.00009975073,0.0002801585,0.0001236177,0.0001915747],"domain_scores_gemma":[0.9993715,0.00003236803,0.00002100298,0.0004016162,0.000104952,0.00006855209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002596281,0.0001231495,0.0001350114,0.00000535545,0.00006463492,0.0002351817,0.0004736503,0.006964853,0.7856627,0.04451758,0.06889918,0.09291615],"study_design_scores_gemma":[0.0001793004,0.00001599636,0.0006499746,0.00000277445,0.000003968587,0.000008425674,0.00004904869,0.2277494,0.7416577,0.0002878029,0.02919244,0.000203196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003511931,0.0001762434,0.9555119,0.002221617,0.0003242762,0.00003279858,8.640191e-7,0.00008796314,0.03813245],"genre_scores_gemma":[0.6117807,0.00001359818,0.3779314,0.001692806,0.0002544554,0.000004657016,0.000001752544,0.000007196657,0.008313456],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6082688,"threshold_uncertainty_score":0.4595917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176294166115662,"score_gpt":0.2201904548640293,"score_spread":0.2084275132028727,"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."}}