{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278071,0.0004268499,0.0004732916,0.0005513508,0.0002105397,0.0009853992,0.001083155,0.0008291882,0.004121102],"category_scores_gemma":[0.002040293,0.0003195918,0.0003425571,0.0005896543,0.0006669002,0.002494247,0.001109827,0.001255098,0.0006965545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007507084,"about_ca_system_score_gemma":0.0005006162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003384846,"about_ca_topic_score_gemma":0.004652044,"domain_scores_codex":[0.9998245,0.00004635482,0.00001092965,0.00004322739,0.000042306,0.0000327252],"domain_scores_gemma":[0.9996108,0.0001479489,0.00006306823,0.00008593399,0.00006202096,0.00003032425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002509998,0.0000998157,0.001396764,0.000246084,0.0001214124,0.0001024982,0.0001138591,0.3328041,0.008121789,0.3344093,0.01652787,0.3058055],"study_design_scores_gemma":[0.00000993388,0.00002957137,0.0004395217,0.00002175861,0.00001348507,0.00002813302,0.00001751149,0.849765,0.001992259,0.1455249,0.002149043,0.000008857945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0462372,0.002029468,0.9373625,0.001355238,0.0002757614,0.00003177951,0.001330026,0.001002661,0.01037524],"genre_scores_gemma":[0.9119088,0.0009830644,0.07408943,0.0003100763,0.0001725964,0.00007506916,0.001246929,0.0001295604,0.01108446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004121102,"threshold_uncertainty_score":0.01378644,"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."}}