{"id":"W7018918224","doi":"","title":"Évaluation, par simulation, des performances de serveurs de commerce électronique : étude de cas : le serveur GNP","year":2003,"lang":"fr","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Production (economics); Product (mathematics); Order (exchange)","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":[],"consensus_categories":[],"category_scores_codex":[0.003168977,0.0008329624,0.0006752083,0.001361894,0.00095342,0.003038654,0.001240053,0.001057876,0.005150286],"category_scores_gemma":[0.01057036,0.0003158296,0.0005936581,0.002544525,0.0007040855,0.001462924,0.0006777476,0.0006596426,0.0009100955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005449148,"about_ca_system_score_gemma":0.003327823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2735725,"about_ca_topic_score_gemma":0.2142943,"domain_scores_codex":[0.9979565,0.0009953581,0.00005981508,0.0002107747,0.0006517902,0.0001256861],"domain_scores_gemma":[0.9953251,0.002852107,0.0002299342,0.0002983249,0.001168803,0.0001257027],"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":[0.002271615,0.00096604,0.1124708,0.0009749305,0.0004225866,0.0006151648,0.008139912,0.5659833,0.007337896,0.02943357,0.01439709,0.2569872],"study_design_scores_gemma":[0.0002901719,0.001197481,0.1305162,0.0002085401,0.0002635216,0.0003239379,0.006097178,0.8016387,0.01816659,0.008307988,0.03282223,0.0001674524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916946,0.001368627,0.04141859,0.0006251051,0.00005790588,0.000250671,0.002087935,0.0006827911,0.03656238],"genre_scores_gemma":[0.9729969,0.0004243239,0.01336474,0.00002500863,0.00001238923,0.0001292545,0.00101185,0.00007750506,0.01195817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2735725,"threshold_uncertainty_score":0.5439603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07988323517091091,"score_gpt":0.3483164529674793,"score_spread":0.2684332177965684,"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."}}