{"id":"W7091541872","doi":"10.5683/sp3/i8paz4","title":"Multi-agent-based agile scheduling","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Agile software development; Scheduling (production processes); Agile manufacturing; Information system; Negotiation; Dynamic priority scheduling","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":[0.001737081,0.001124248,0.0007119257,0.001926598,0.0006206793,0.001375127,0.001793152,0.0006766594,0.005411199],"category_scores_gemma":[0.004699179,0.0003063938,0.0007093478,0.004083357,0.0002544835,0.001038494,0.0009539279,0.001028741,0.004320444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081528,"about_ca_system_score_gemma":0.001181757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01509949,"about_ca_topic_score_gemma":0.01646062,"domain_scores_codex":[0.9986171,0.0004656417,0.0001630546,0.0003527111,0.0002875107,0.0001139876],"domain_scores_gemma":[0.9983259,0.0004893812,0.0001219726,0.0006139837,0.0003593484,0.000089425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009923344,0.0003795178,0.007119431,0.001645431,0.0002493407,0.0001876804,0.0001265844,0.1826249,0.001811649,0.01397976,0.630452,0.1604314],"study_design_scores_gemma":[0.0004994232,0.0001686043,0.009608354,0.0001662866,0.00008951594,0.0002625318,0.0002483485,0.46647,0.004113671,0.02350059,0.4947989,0.00007394252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05417757,0.00422974,0.1160438,0.001932349,0.001044391,0.001010141,0.7826543,0.01501842,0.02388928],"genre_scores_gemma":[0.09042041,0.001677374,0.09272145,0.0002598512,0.0001037005,0.001230032,0.8072388,0.000407485,0.005940959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01509949,"threshold_uncertainty_score":0.03002322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577345170056104,"score_gpt":0.2548311581191518,"score_spread":0.2390577064185908,"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."}}