{"id":"W7097865146","doi":"","title":"Abstract","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Online analytical processing; Data cube; Cube (algebra); Visualization; Row; Search engine indexing; Terabyte; Data visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004635635,0.0007476599,0.0004061415,0.001157859,0.0008453868,0.00287346,0.001122553,0.00125039,0.7464854],"category_scores_gemma":[0.001110448,0.0002693574,0.0003059883,0.0009584014,0.0002850778,0.002778159,0.002401561,0.001045372,0.6388733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751733,"about_ca_system_score_gemma":0.0006556744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391853,"about_ca_topic_score_gemma":0.00204133,"domain_scores_codex":[0.9996195,0.00004893155,0.00002194026,0.00009131197,0.0001593389,0.00005903623],"domain_scores_gemma":[0.9992799,0.00007373921,0.00002225446,0.0001921898,0.0002176377,0.0002142527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001047646,0.00007711379,0.0004827985,0.0001595703,0.000007505278,0.0001520545,0.00007220595,0.0002601375,0.001608457,0.01407333,0.6848565,0.2981454],"study_design_scores_gemma":[0.000006753561,0.000008269522,0.0001677552,0.00003088626,0.00000177551,0.00007685403,0.00002938939,0.0001355604,0.0003769717,0.001480957,0.9976802,0.000004622623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001485199,0.0009398593,0.01003369,0.002498625,0.002086404,0.0001365915,0.006948617,0.00589099,0.96998],"genre_scores_gemma":[0.007328169,0.0007093787,0.003741703,0.0009825024,0.0002727054,0.00006645556,0.007245447,0.001232157,0.9784214],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2535146,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302815369291705,"score_gpt":0.2266563152090262,"score_spread":0.1963747782798557,"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."}}