{"id":"W4236718050","doi":"10.1007/978-0-387-39940-9_686","title":"Memory Locality","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Locality; Computer science; Philosophy; Linguistics","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":[0.0002558008,0.0005921521,0.0005803179,0.0009047644,0.001156509,0.003110034,0.001710239,0.0007502539,0.07246598],"category_scores_gemma":[0.001396527,0.0003903156,0.000492705,0.00146561,0.001221844,0.006167139,0.00188367,0.001249173,0.02508852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009870402,"about_ca_system_score_gemma":0.001089547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647146,"about_ca_topic_score_gemma":0.002202928,"domain_scores_codex":[0.9996685,0.0000277192,0.00001853438,0.0001110137,0.0001220101,0.00005222327],"domain_scores_gemma":[0.9994664,0.00009418917,0.00002445162,0.0002468414,0.0001370208,0.00003119301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000609175,0.00003298599,0.0001680909,0.0002491522,0.00001793299,0.00008082759,0.0002865069,0.0009918701,0.003914243,0.6819199,0.08021633,0.2320613],"study_design_scores_gemma":[0.00001438492,0.00003096571,0.0002415704,0.00007073751,0.00002590798,0.0003896081,0.0001208051,0.003563593,0.007976561,0.6012905,0.3862532,0.00002219881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01019749,0.008714079,0.2769029,0.002565752,0.0007564478,0.0001359781,0.001600748,0.004817691,0.6943089],"genre_scores_gemma":[0.2457759,0.008537063,0.09320039,0.001265281,0.0008708091,0.0002832474,0.00295822,0.001843093,0.645266],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07246598,"threshold_uncertainty_score":0.2424229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07076350805503588,"score_gpt":0.288201478803397,"score_spread":0.2174379707483611,"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."}}