{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008357308,0.0002182032,0.0002747661,0.0002429996,0.0004348247,0.0007514489,0.0005854532,0.00008516565,0.00000529442],"category_scores_gemma":[0.00008728653,0.0001608477,0.00003060716,0.0003453259,0.0001687427,0.0008324638,0.0005548996,0.0001223848,0.00001838228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470563,"about_ca_system_score_gemma":0.00004870531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001477298,"about_ca_topic_score_gemma":6.969144e-7,"domain_scores_codex":[0.9980372,0.0001154862,0.0008103455,0.0003190718,0.0003493785,0.0003684865],"domain_scores_gemma":[0.9984546,0.0004002919,0.0002396846,0.0003936254,0.0002333201,0.000278486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003874185,0.00002696998,0.00001779124,0.00004992009,0.00001131646,0.00000453143,0.001260517,0.06905172,0.000007555405,0.03418592,0.00003876399,0.8953411],"study_design_scores_gemma":[0.00007876111,0.0001586586,0.00001951219,0.0001442286,0.000004496461,0.00005162688,0.0003461635,0.9977393,0.0002991644,0.0007187478,0.0001994192,0.0002399653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002066158,0.00005205243,0.9963664,0.0002973882,0.0005511429,0.000197313,0.000005975824,0.000277593,0.0001860155],"genre_scores_gemma":[0.18989,0.00009023452,0.8096958,0.0001347331,0.0001515907,0.000002744998,0.000007665547,0.00001058327,0.00001664785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9286875,"threshold_uncertainty_score":0.7246239,"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."}}