{"id":"W4414520187","doi":"10.46298/dmtcs.13421","title":"The Fagnano Triangle Patrolling Problem","year":2025,"lang":"en","type":"article","venue":"Discrete Mathematics & Theoretical Computer Science","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Patrolling; Trajectory; Property (philosophy); Optimization problem; Inscribed figure; Dynamical billiards; Artifact (error)","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":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.003989664,0.0003059939,0.0003842856,0.0002255431,0.001608811,0.001858908,0.005473241,0.00007618837,0.00000578998],"category_scores_gemma":[0.0004236465,0.0001899748,0.0001610553,0.002070928,0.002389785,0.0004998558,0.001801634,0.0003348545,0.00007572231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007855584,"about_ca_system_score_gemma":0.0003044115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001792177,"about_ca_topic_score_gemma":2.253449e-7,"domain_scores_codex":[0.9963725,0.0001520625,0.0006768545,0.0008222093,0.00101161,0.0009648271],"domain_scores_gemma":[0.9960585,0.001554078,0.000182734,0.001722554,0.0002645167,0.0002176199],"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":[0.00000270568,0.00004443694,0.0000113987,0.00002321663,0.00001363191,0.000009351609,0.0007106798,0.0005425044,0.0001319616,0.9790546,0.0001567015,0.01929883],"study_design_scores_gemma":[0.0001812618,0.00005464202,0.00002630948,0.0001160133,0.000009124095,0.00001370905,0.0000331848,0.6073071,0.0005182005,0.3913821,0.0002026443,0.0001557597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004734595,0.0001244197,0.9776165,0.003332202,0.0009164224,0.0004396142,0.000001553638,0.0003266823,0.01676917],"genre_scores_gemma":[0.1874388,0.000008972373,0.8119312,0.0003541783,0.00007220866,0.00003737141,6.283776e-7,0.00001155662,0.0001451556],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6067646,"threshold_uncertainty_score":0.9999076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150327423914934,"score_gpt":0.2645188535859136,"score_spread":0.2530155793467643,"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."}}