{"id":"W4392240640","doi":"10.3390/math12050709","title":"Dimensionless Policies Based on the Buckingham π Theorem: Is This a Good Way to Generalize Numerical Results?","year":2024,"lang":"en","type":"article","venue":"Mathematics","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Inverted pendulum; Scaling; Mathematics; Linear-quadratic regulator; Controller (irrigation); Control theory (sociology); Optimal control; Dimensionless quantity; Control (management); Mathematical optimization; Computer science; Applied mathematics; Artificial intelligence; Nonlinear system; Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007951232,0.0002408992,0.0002219803,0.0001475347,0.0002077751,0.0006181914,0.001167696,0.00007342712,0.0001016896],"category_scores_gemma":[0.0003262729,0.0001447029,0.000125999,0.0007713966,0.00005610708,0.0001029153,0.0003692062,0.0002774953,0.001046356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007834911,"about_ca_system_score_gemma":0.00005564681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002701103,"about_ca_topic_score_gemma":4.211741e-7,"domain_scores_codex":[0.9979848,0.00009471893,0.0004176725,0.0003776419,0.0007396424,0.0003854955],"domain_scores_gemma":[0.99733,0.001128681,0.00009216938,0.001273847,0.00006888911,0.0001064487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006325366,0.00007232949,0.000004444311,0.0001035908,0.00003925434,0.00002161742,0.01556712,0.129458,0.0002834466,0.8198546,0.03258504,0.002004243],"study_design_scores_gemma":[0.00008183692,0.0001317373,0.000007863973,0.0002336228,0.00001399604,0.000007975489,0.00007060522,0.9668854,0.002185872,0.006163333,0.02401535,0.0002023484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001112497,0.00002395221,0.9423122,0.02929791,0.0003740271,0.0003103621,0.000006635076,0.0004028956,0.02615946],"genre_scores_gemma":[0.7435096,0.000008823019,0.2224275,0.01665119,0.0002278416,0.00006660734,0.000004988065,0.00008321948,0.01702027],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8374274,"threshold_uncertainty_score":0.9997314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096781444617,"score_gpt":0.2786313403517564,"score_spread":0.2476635259055864,"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."}}