{"id":"W4415000746","doi":"10.1016/j.robot.2025.105216","title":"FG-PE: Factor-graph approach for multi-robot pursuit–evasion","year":2025,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Guidance and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Robot; Factor (programming language); Series (stratigraphy); Tracking (education); Estimation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002067861,0.0002789514,0.0004971342,0.0001519787,0.0001615211,0.0002283246,0.0002087902,0.0001920062,9.739321e-7],"category_scores_gemma":[0.00001331858,0.0002554345,0.0001234388,0.0001669526,0.00002739379,0.0000916982,0.00003461733,0.0001275193,0.000005921719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008710543,"about_ca_system_score_gemma":0.00003485435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008020439,"about_ca_topic_score_gemma":0.00001128647,"domain_scores_codex":[0.9986342,0.0000285662,0.0004709123,0.0003207073,0.0001284301,0.0004172324],"domain_scores_gemma":[0.9993999,0.00005304549,0.00006521946,0.0003152139,0.00007026592,0.00009637072],"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":[0.0000109456,0.00008593616,0.001571474,0.001964593,0.0002890184,0.000002775389,0.0002470355,0.9677085,0.008798698,0.01211784,0.001415259,0.005787887],"study_design_scores_gemma":[0.001127291,0.00004050142,0.001147479,0.000161223,0.00005349599,0.000008192716,0.0002586067,0.989566,0.0001851699,0.00004195446,0.007087009,0.0003230604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00350561,0.0106143,0.9794132,0.00005005513,0.002026306,0.001379925,0.00004806748,0.0004322755,0.002530319],"genre_scores_gemma":[0.9924138,0.00009535459,0.00479999,0.0000274908,0.0001852997,0.0002500698,0.00002699375,0.00004696527,0.002154076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9889082,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450809504960324,"score_gpt":0.2388937514749509,"score_spread":0.2143856564253477,"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."}}