{"id":"W4237951078","doi":"10.22215/etd/2011-09665","title":"Dynamically structured holographic memory : a hybrid of discrete and distributed representation","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"Carleton University","keywords":"Computer science; Representation (politics); Computer graphics (images); Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001278173,0.0002238557,0.0003401804,0.0002727793,0.00007027698,0.00006496547,0.0005970235,0.0001572837,0.00001078003],"category_scores_gemma":[0.00006067488,0.0001926035,0.00009886332,0.0003482741,0.00005608356,0.0001843649,0.0001079896,0.0001799404,4.042846e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009578089,"about_ca_system_score_gemma":0.00004364566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121764,"about_ca_topic_score_gemma":0.00004300247,"domain_scores_codex":[0.9986176,0.00008886863,0.0004091268,0.0005069254,0.0002135973,0.0001638422],"domain_scores_gemma":[0.9987275,0.00005160889,0.0004050363,0.0005355553,0.0002134084,0.00006687125],"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":[0.001220793,0.0008691049,0.01003861,0.003066441,0.001868279,0.0002275478,0.01301339,0.006588892,0.01545661,0.2643276,0.01623922,0.6670835],"study_design_scores_gemma":[0.001454942,0.0007542983,0.1352629,0.000659399,0.0002701985,0.0001080751,0.0004660676,0.6132233,0.09632307,0.1488764,0.0001014141,0.002499896],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05912366,0.0001668709,0.9348056,0.00002959321,0.0002291635,0.0002849889,0.00002610052,0.0004469642,0.004887072],"genre_scores_gemma":[0.8681247,0.0001408241,0.1296261,0.00002375343,0.00001395257,0.00001650446,0.001153227,0.00001594735,0.0008850307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.809001,"threshold_uncertainty_score":0.7854144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041173749195001,"score_gpt":0.2612829157506356,"score_spread":0.2508711782586856,"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."}}