{"id":"W1997164579","doi":"10.1145/1321440.1321507","title":"Mapgraph","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Online analytical processing; Computer science; Granularity; Hierarchy; Overhead (engineering); Dimension (graph theory); Cube (algebra); Data cube; Representation (politics); Theoretical computer science; Data warehouse; Distributed computing; Database; Data mining; Programming language; Mathematics","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":[0.0003131674,0.0008154888,0.0005391905,0.001726216,0.0009616132,0.002536833,0.001975255,0.0007962252,0.0545437],"category_scores_gemma":[0.002016255,0.0005902284,0.0007997456,0.002915786,0.0003847941,0.002861994,0.002928074,0.0009158977,0.01874917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624886,"about_ca_system_score_gemma":0.001464316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00635498,"about_ca_topic_score_gemma":0.008537232,"domain_scores_codex":[0.9995184,0.00005654726,0.00002632369,0.0001027963,0.0002217881,0.00007417815],"domain_scores_gemma":[0.9991026,0.0001596748,0.0000535685,0.0003751015,0.0002193706,0.00008968391],"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":[0.0003416737,0.0001846146,0.001753484,0.001086809,0.0001494983,0.0005137469,0.0005910394,0.01523549,0.007015159,0.104411,0.4984079,0.3703096],"study_design_scores_gemma":[0.00004397409,0.00005615512,0.0006695507,0.00006793235,0.00004232974,0.0003805523,0.0001771924,0.03505637,0.006357553,0.04457468,0.9125316,0.0000421748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01658313,0.001811211,0.6043375,0.001858602,0.0006919461,0.0009573787,0.06066005,0.1318613,0.1812388],"genre_scores_gemma":[0.208472,0.003821998,0.4689067,0.00128451,0.0002485353,0.001582524,0.1777471,0.01191062,0.126026],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0545437,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007811217787833087,"score_gpt":0.2430612934293615,"score_spread":0.2352500756415284,"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."}}