{"id":"W2772322972","doi":"","title":"Holographic Feature Representations of Deep Networks.","year":2017,"lang":"en","type":"article","venue":"Uncertainty in Artificial Intelligence","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Holography; Computer science; Feature (linguistics); Artificial intelligence; Pattern recognition (psychology); Computer vision; Computer graphics (images); Optics; Physics","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":[0.0002704276,0.000104886,0.0001544376,0.0001924854,0.0003104803,0.0002087441,0.0009751296,0.00009269966,0.0000587254],"category_scores_gemma":[0.0003139435,0.0001027287,0.00008573123,0.0002940524,0.0002163741,0.0004861385,0.0001440418,0.0002167218,0.00003814669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148115,"about_ca_system_score_gemma":0.0000241112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002861278,"about_ca_topic_score_gemma":0.001104493,"domain_scores_codex":[0.9989043,0.00006350613,0.0003171016,0.0003214586,0.0001680037,0.0002255723],"domain_scores_gemma":[0.9986048,0.0001495375,0.0002486904,0.0008038164,0.0001385396,0.00005456057],"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":[0.00002340365,0.0002114745,0.002670542,0.00001196102,0.00001892868,0.00003868499,0.00124207,0.06285801,0.0007629673,0.253648,0.000203149,0.6783108],"study_design_scores_gemma":[0.00005419232,0.00007768168,0.008934403,0.00006213823,0.000007619526,0.000007726684,0.0004164084,0.7724527,0.01040296,0.2070355,0.0003032686,0.0002454425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04796671,0.0001200257,0.9412389,0.002118772,0.001087364,0.0002723095,0.000003517381,0.00008613082,0.007106304],"genre_scores_gemma":[0.9969295,0.00007071765,0.002732444,0.0001035256,0.00008080695,0.00001720306,0.000005098928,0.000004539552,0.00005615559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9489628,"threshold_uncertainty_score":0.4189153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04953838544420267,"score_gpt":0.3293500301314125,"score_spread":0.2798116446872098,"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."}}