{"id":"W4410553941","doi":"10.1007/978-3-031-91736-3_5","title":"Exploration of Convex Terrains by a Deterministic Automaton with Pebbles","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Automaton; Deterministic automaton; Regular polygon; Terrain; Büchi automaton; Algorithm; Theoretical computer science; Geometry; Mathematics; Cartography","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":[0.0002070367,0.0004687868,0.0009028453,0.0005203449,0.0009560571,0.001111904,0.001476884,0.0010811,0.005298621],"category_scores_gemma":[0.001394516,0.0005942633,0.0009404343,0.0005891257,0.001528723,0.001298166,0.002171192,0.0008244967,0.0005281788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007354845,"about_ca_system_score_gemma":0.0006760493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005573709,"about_ca_topic_score_gemma":0.005242202,"domain_scores_codex":[0.9997818,0.00004022123,0.00001580328,0.00006777058,0.00004745963,0.00004690702],"domain_scores_gemma":[0.9992515,0.0004542816,0.00005356575,0.00009746693,0.00005934223,0.0000837218],"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":[0.0001622611,0.00004439729,0.001019019,0.00007127219,0.00003029085,0.00024888,0.000164188,0.9380454,0.006286265,0.03594923,0.0006321087,0.01734671],"study_design_scores_gemma":[0.00001225191,0.00002838972,0.00006941132,0.000006576926,0.000004976774,0.00001800208,0.00001994607,0.9875309,0.0005459694,0.0113773,0.0003789909,0.000007278744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3492891,0.00026242,0.6299937,0.0003477419,0.00009270768,0.00008254938,0.0002783386,0.001292422,0.01836107],"genre_scores_gemma":[0.8910387,0.0001494174,0.1027455,0.00005553179,0.00001634604,0.0001157915,0.0001942895,0.0001253655,0.005559066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005573709,"threshold_uncertainty_score":0.01772565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013115548736642,"score_gpt":0.2589755907163662,"score_spread":0.2388444352289998,"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."}}