{"id":"W2163062020","doi":"10.1109/icsmc.2009.5346794","title":"An integrated ACO-AHP approach for resource management optimization","year":2009,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Analytic hierarchy process; Multiple-criteria decision analysis; Mathematical optimization; Weighted sum model; Computer science; Ranking (information retrieval); Vagueness; Fuzzy set; Set (abstract data type); Operations research; Decision problem; Ant colony optimization algorithms; Fuzzy logic; Optimal decision; Artificial intelligence; Mathematics; Decision tree; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0002921829,0.0001130536,0.0001037985,0.000108334,0.00009574637,0.0001718469,0.0007473226,0.00004862743,0.000002934389],"category_scores_gemma":[0.00000926452,0.00009542106,0.00002999583,0.0003495394,0.00001033062,0.0003288046,0.0000383456,0.00005738463,0.000004758527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470015,"about_ca_system_score_gemma":0.00001172531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002970372,"about_ca_topic_score_gemma":2.14019e-8,"domain_scores_codex":[0.9990107,0.00004077347,0.0001563575,0.000388175,0.0001706066,0.000233326],"domain_scores_gemma":[0.9992908,0.00001834588,0.0000465268,0.0005119516,0.00005090259,0.00008153572],"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":[0.000004693392,0.00009910101,0.00000626067,0.000004371074,0.000007052167,0.000003200746,0.0001538994,0.9053612,0.000009941107,0.01243999,0.002907158,0.07900309],"study_design_scores_gemma":[0.0002780749,0.0001697271,0.0001904996,0.000006170987,0.000005282597,0.000005210875,0.00009465068,0.9974704,0.00007037899,0.0002247719,0.001352163,0.0001326903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001415779,0.000008746436,0.9752312,0.0003440246,0.00005629594,0.0003381181,9.453027e-7,0.0004518729,0.02355462],"genre_scores_gemma":[0.004157306,0.000001172196,0.9935556,0.000709493,0.00003512154,0.00002034332,0.00006212223,0.000006165588,0.001452646],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09210914,"threshold_uncertainty_score":0.3891158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184359574339241,"score_gpt":0.2588206938677421,"score_spread":0.240384736433818,"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."}}