{"id":"W1163413699","doi":"10.71781/9998","title":"Allocation optimale des ressources pour les applications et services de grille de calcul","year":2008,"lang":"fr","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815676,0.001908543,0.001928324,0.001957205,0.001238069,0.004132474,0.001270752,0.002811458,0.01040892],"category_scores_gemma":[0.01189848,0.0009496278,0.001075014,0.001401638,0.001434601,0.002433425,0.001521451,0.002030355,0.001596191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004382222,"about_ca_system_score_gemma":0.003462935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287947,"about_ca_topic_score_gemma":0.008414931,"domain_scores_codex":[0.9978795,0.0006935241,0.00007606771,0.0003446353,0.000456772,0.0005495952],"domain_scores_gemma":[0.9949511,0.003382823,0.0002436044,0.0003008256,0.0007586101,0.0003629695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00158425,0.0004383685,0.001002961,0.0002924314,0.00008986652,0.0001167201,0.0002027627,0.8528442,0.01107525,0.03363916,0.004666807,0.09404721],"study_design_scores_gemma":[0.00009825236,0.0001526984,0.0005531022,0.00002613598,0.00002553904,0.00003824781,0.0000706807,0.9832436,0.003099743,0.01125011,0.00142334,0.0000185241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2736629,0.002650076,0.6789055,0.003199682,0.0004465031,0.0004912026,0.0003751906,0.002024439,0.03824446],"genre_scores_gemma":[0.7925829,0.00100026,0.1789848,0.0003700312,0.0002380836,0.0003533079,0.000249134,0.0004725473,0.02574893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01287947,"threshold_uncertainty_score":0.03482127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00754188667479874,"score_gpt":0.1831560624369378,"score_spread":0.175614175762139,"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."}}