{"id":"W2478557639","doi":"10.1007/978-3-540-70916-9","title":"Multi-Agent-Based Simulation VIII","year":2008,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001613679,0.0002669147,0.0002295663,0.000445251,0.0001143066,0.00009735076,0.0004674088,0.00023774,0.0000142152],"category_scores_gemma":[0.00006507657,0.0002701468,0.00006116953,0.0005272859,0.0001796389,0.0001099092,0.00005230469,0.0004133645,0.00004275651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281443,"about_ca_system_score_gemma":0.0002799133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002141694,"about_ca_topic_score_gemma":0.000006504548,"domain_scores_codex":[0.9985977,0.00001369293,0.0002515164,0.0004335884,0.0003965636,0.0003069657],"domain_scores_gemma":[0.999159,0.0002265299,0.00005206565,0.0003737896,0.0001044063,0.00008420378],"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":[8.253876e-7,0.000008484203,0.00001472559,0.00002052329,0.000002746283,0.00001075818,0.0001357413,0.9401861,0.00001386413,0.000001341586,0.00001788526,0.059587],"study_design_scores_gemma":[0.0002623414,0.00001628601,0.000050006,0.000106764,0.000003653593,0.000003628312,4.051288e-8,0.9982921,0.0004317409,0.00007977571,0.0004552177,0.0002984851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000689582,0.0003095968,0.9971309,0.00002357637,0.001670648,0.0001626976,0.000004497787,0.0003523828,0.0002766964],"genre_scores_gemma":[0.04545645,0.00002000463,0.9533728,0.0003716821,0.0004193083,0.000005311995,0.00003314366,0.00004912701,0.0002721411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05928852,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818568705146131,"score_gpt":0.2457874637848399,"score_spread":0.2276017767333786,"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."}}