{"id":"W4220841709","doi":"10.1109/icara55094.2022.9738561","title":"Fully Dynamic Line Maintenance by a Simple Robot","year":2022,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Line (geometry); Simple (philosophy); Robot; Computer science; Tile; Mobile robot; Automaton; Distributed computing; Algorithm; Artificial intelligence; Mathematics","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":[0.0001328785,0.0003619434,0.0003501232,0.000164855,0.0003898758,0.0005365151,0.0008413699,0.0006056587,0.002316096],"category_scores_gemma":[0.0003785071,0.0002323002,0.0003481924,0.0001412285,0.000680294,0.000783768,0.0008062983,0.0003209289,0.0005089552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445616,"about_ca_system_score_gemma":0.0002708205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007772086,"about_ca_topic_score_gemma":0.0006456883,"domain_scores_codex":[0.999889,0.00001804159,0.000005619616,0.00004607103,0.00002579605,0.00001550824],"domain_scores_gemma":[0.9998118,0.000044466,0.00004174199,0.00005809424,0.00002428088,0.0000196203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002662816,0.00007883711,0.001418214,0.0001782895,0.00004603556,0.0004143149,0.0002169337,0.8168764,0.09721684,0.02088346,0.0009942937,0.06141024],"study_design_scores_gemma":[0.00004586962,0.0002424639,0.0003650271,0.000008300914,0.00001904655,0.0001371056,0.00004600433,0.9803586,0.009255466,0.006063649,0.003440273,0.00001815668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1790024,0.000143488,0.8146738,0.0001759015,0.00004383073,0.00005655805,0.00005410009,0.001228436,0.004621558],"genre_scores_gemma":[0.8918187,0.00006593604,0.1037178,0.00003912248,0.00001266294,0.00008525591,0.00006493473,0.00004415378,0.004151574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002316096,"threshold_uncertainty_score":0.007748067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006417575445924429,"score_gpt":0.2061517738119241,"score_spread":0.1997341983659996,"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."}}