{"id":"W2066073395","doi":"10.1109/jstsp.2014.2318078","title":"Introduction to the Issue on Perception Inspired Video Processing","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Perception; Artificial intelligence; Computer vision; Psychology","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":[0.000544502,0.0001154118,0.0001591366,0.0001720386,0.0002445325,0.0002807058,0.0005602023,0.00005558278,0.000007201869],"category_scores_gemma":[0.00005991848,0.00008074207,0.000033,0.001231304,0.00002384239,0.0005217838,0.00002732298,0.0004445609,0.00001062063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008720814,"about_ca_system_score_gemma":0.00009712535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003027434,"about_ca_topic_score_gemma":0.00000662376,"domain_scores_codex":[0.9987199,0.00009583281,0.0004176802,0.0002210002,0.0003358024,0.000209779],"domain_scores_gemma":[0.999017,0.00004583894,0.0002909388,0.0001571526,0.0004197357,0.00006933024],"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":[0.00002095314,0.00006758927,0.00007069367,0.00002019783,0.000002864346,0.000001750458,0.0009167235,0.02150963,0.01893693,0.000231443,0.003573665,0.9546475],"study_design_scores_gemma":[0.001060656,0.001408515,0.01303211,0.0007902947,0.00003684031,0.0003307575,0.0002156258,0.7338725,0.02570506,0.007294373,0.215589,0.000664248],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1408387,0.0001011016,0.816791,0.04142196,0.0003804161,0.0001658859,1.326383e-7,0.00004471552,0.000256065],"genre_scores_gemma":[0.9803755,0.000009979472,0.01145724,0.001244543,0.006788043,0.000006652495,3.328848e-7,0.000009128056,0.0001085511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9539833,"threshold_uncertainty_score":0.3292566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136193724607914,"score_gpt":0.2623233175643105,"score_spread":0.2487039451035191,"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."}}