{"id":"W1973214928","doi":"10.3166/isi.11.6.55-82","title":"Sélection de schéma de fragmentation horizontale dans les entrepôts de données. Formalisation et algorithmes","year":2006,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Partition (number theory); Simulated annealing; Fragmentation (computing); Algorithm; Mathematics; Combinatorics; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001265537,0.0003569431,0.000273559,0.0003088375,0.0008336774,0.0007373184,0.0002612908,0.0002953693,0.0000279831],"category_scores_gemma":[0.0002220468,0.0004074746,0.0001296135,0.0005928625,0.000229643,0.01634853,0.0001219621,0.0002786982,0.00006418244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002518534,"about_ca_system_score_gemma":0.000566176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01639067,"about_ca_topic_score_gemma":0.001780943,"domain_scores_codex":[0.9971828,0.0003466144,0.0009668689,0.0002696759,0.0004359772,0.0007980078],"domain_scores_gemma":[0.9981995,0.0001124908,0.0007137867,0.0003744836,0.0004467966,0.0001528933],"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":[0.00007468537,0.0001578663,0.01431178,0.001464645,0.00007698719,0.00002679045,0.08303912,0.0429251,0.006315468,0.5176399,0.003662457,0.3303052],"study_design_scores_gemma":[0.002086727,0.000582423,0.108524,0.001887552,0.0001237217,0.001731616,0.01542266,0.6458853,0.0475448,0.02936053,0.1454172,0.001433375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1970357,0.0008061028,0.7953036,0.0004514083,0.0008902763,0.0004206497,0.0001292302,0.0002666146,0.004696399],"genre_scores_gemma":[0.7809879,0.0004633069,0.2152783,0.0004004564,0.0006067051,0.0002043747,0.0009561956,0.00003358184,0.001069253],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6029603,"threshold_uncertainty_score":0.9998377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184577993921473,"score_gpt":0.2537732697455612,"score_spread":0.2319274898063465,"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."}}