{"id":"W2536934950","doi":"","title":"IPO: An Inclined Planes System Optimization Algorithm","year":2016,"lang":"en","type":"article","venue":"Computing and Informatics / Computers and Artificial Intelligence","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Benchmark (surveying); Heuristic; Plane (geometry); Algorithm; Inclined plane; Motion (physics); Computer science; Space (punctuation); Optimization algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Engineering; Geometry; Mechanical engineering","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":[0.0005362795,0.0009450484,0.001087321,0.0007291162,0.0005391473,0.0008808655,0.001446437,0.001390139,0.006623357],"category_scores_gemma":[0.001196983,0.0004265842,0.0006890844,0.000972683,0.0004347681,0.00085096,0.001235339,0.001165339,0.00147333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403158,"about_ca_system_score_gemma":0.001437286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306494,"about_ca_topic_score_gemma":0.001985219,"domain_scores_codex":[0.9996852,0.00008324037,0.00001649868,0.00006276833,0.0001097172,0.00004260886],"domain_scores_gemma":[0.9997861,0.00008571576,0.00002915479,0.00002553562,0.00005414962,0.0000193476],"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":[0.0001730072,0.0001026264,0.0008614075,0.0001210582,0.00007623952,0.00009054937,0.0000538758,0.806405,0.00173797,0.009656088,0.006001483,0.1747207],"study_design_scores_gemma":[0.00004090452,0.00004989395,0.0001102738,0.00000913197,0.00000904538,0.00002470686,0.000008200199,0.9942054,0.0003650083,0.002056189,0.003115775,0.000005398555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0097814,0.0004106485,0.9782908,0.000203818,0.0001118819,0.0001646903,0.000159224,0.001090161,0.009787437],"genre_scores_gemma":[0.2393241,0.0004624528,0.749288,0.000291001,0.0001081969,0.0008152947,0.0007069063,0.0003566078,0.008647525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006623357,"threshold_uncertainty_score":0.02215731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183234500161008,"score_gpt":0.2880545947611222,"score_spread":0.2562222497595121,"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."}}