{"id":"W118921981","doi":"","title":"Topological order planner for POMDPs","year":2009,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Domain (mathematical analysis); Computer science; Exploit; Partially observable Markov decision process; Topology (electrical circuits); Space (punctuation); Planner; Focus (optics); Mathematical optimization; Point (geometry); Order (exchange); Mathematics; Artificial intelligence; Markov chain; Combinatorics; Geometry","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":[0.0002441687,0.00006422796,0.00008908021,0.0000617451,0.00007431131,0.0001156422,0.000550295,0.00004364225,0.0002786223],"category_scores_gemma":[0.0002379916,0.00004567105,0.00002906135,0.0002795556,0.00001405066,0.0001435168,0.00006198141,0.0000561733,0.00009230786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001291096,"about_ca_system_score_gemma":0.0000442741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001559946,"about_ca_topic_score_gemma":2.614412e-7,"domain_scores_codex":[0.9991689,0.00003069099,0.0001244155,0.0002380314,0.0002045425,0.0002333779],"domain_scores_gemma":[0.9993025,0.0001284511,0.00001818248,0.0002900705,0.000169573,0.00009122562],"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":[0.000005868995,0.000134669,0.00001883366,0.000002322115,0.000006430118,0.000007201487,0.00006266958,0.0004466663,0.00003447165,0.919646,0.02320263,0.05643219],"study_design_scores_gemma":[0.0003956507,0.0002634136,0.0005058493,0.0000010413,0.000001483076,0.00001051497,0.000005675218,0.9319751,0.0003082397,0.02471728,0.04169167,0.0001241261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006569165,0.0000164219,0.968711,0.008015417,0.0001128122,0.0001859711,8.504222e-7,0.0002178647,0.02267403],"genre_scores_gemma":[0.01302112,0.000006095108,0.9783615,0.001882355,0.00006269842,0.0000120647,0.000002468371,0.000002469026,0.006649214],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9315284,"threshold_uncertainty_score":0.3050719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528534749597181,"score_gpt":0.3310178289530193,"score_spread":0.2957324814570476,"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."}}