{"id":"W3140231913","doi":"10.1609/socs.v11i1.18518","title":"Multi-Directional Search","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Heuristics; Task (project management); Mathematical optimization; Computer science; Path (computing); Search algorithm; Search problem; Algorithm; Mathematics; 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":[0.001015863,0.0001617805,0.0001628944,0.0001103591,0.0002016682,0.0003252519,0.002632369,0.00006848406,0.00008678842],"category_scores_gemma":[0.0001373945,0.0001373203,0.00017248,0.0007024857,0.00009914714,0.0003282625,0.001816518,0.0003573395,0.00005576346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370995,"about_ca_system_score_gemma":0.0001694777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381304,"about_ca_topic_score_gemma":0.000002162955,"domain_scores_codex":[0.9968666,0.00004690585,0.0003245211,0.0005486301,0.001885826,0.0003274902],"domain_scores_gemma":[0.9981095,0.0001757713,0.0001104018,0.0002902367,0.001213155,0.0001009025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008221735,0.0007811883,0.003563585,0.00004769312,0.0001760162,0.000008883851,0.0002220309,0.001530668,0.1045205,0.8784417,0.008176272,0.002449226],"study_design_scores_gemma":[0.002663662,0.0002076083,0.004836963,0.000201049,0.00001797913,0.00003298418,0.0000939528,0.07075562,0.8704804,0.008154026,0.04213998,0.0004158384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984079,0.0001632124,0.01086362,0.07250266,0.04239754,0.002124598,0.00003654993,0.000622551,0.1728813],"genre_scores_gemma":[0.9920273,0.00003943393,0.00385037,0.0003976573,0.0005130231,0.00004758466,0.000003612544,0.00001904073,0.003101962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8702877,"threshold_uncertainty_score":0.5599759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156412357777802,"score_gpt":0.2645110027244927,"score_spread":0.2429468791467147,"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."}}