{"id":"W4400878853","doi":"10.1109/isit-w61686.2024.10591774","title":"Rate-Distortion-Perception Function of Gaussian Vector Sources","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Toronto; McMaster University","funders":"","keywords":"Distortion (music); Gaussian function; Gaussian; Computer science; Gaussian process; Function (biology); Artificial intelligence; Mathematics; Physics; Telecommunications; Bandwidth (computing); Biology","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":[0.003782722,0.00179038,0.0009956553,0.001023298,0.0003238731,0.001725469,0.00099108,0.001755302,0.00277142],"category_scores_gemma":[0.01761556,0.0005038852,0.000501956,0.0009263406,0.001578745,0.003006662,0.0013874,0.001318021,0.0006412654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577979,"about_ca_system_score_gemma":0.0007276345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201087,"about_ca_topic_score_gemma":0.000428363,"domain_scores_codex":[0.9984629,0.0007026363,0.00005225061,0.0001772835,0.0004167135,0.0001882577],"domain_scores_gemma":[0.9922727,0.006099953,0.0004348741,0.000277406,0.0007834188,0.0001317248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004663256,0.0001106764,0.0008673497,0.0004715679,0.00008162891,0.0003209866,0.0003360563,0.6783203,0.02019697,0.2550895,0.002397125,0.04134147],"study_design_scores_gemma":[0.00001268025,0.00008310929,0.0003042413,0.00005249861,0.00001343444,0.0002528752,0.00005146749,0.9653324,0.003207567,0.02959023,0.001070774,0.00002880162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04148147,0.002352687,0.9413589,0.0008687173,0.00006931208,0.000069743,0.0001031037,0.0001478844,0.01354819],"genre_scores_gemma":[0.8705254,0.003657825,0.1163506,0.0003839238,0.0001581381,0.0002277191,0.0001556785,0.0003205883,0.008220094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003782722,"threshold_uncertainty_score":0.02000517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114750593564966,"score_gpt":0.2457334076749975,"score_spread":0.2245859017393478,"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."}}