{"id":"W4294975925","doi":"10.1109/mmar55195.2022.9874340","title":"Bouncing Robots in Rectilinear Polygons","year":2022,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Robot; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004290113,0.0007204635,0.0006078216,0.000437811,0.0004487091,0.0007943166,0.0007229394,0.0005240978,0.001909753],"category_scores_gemma":[0.001528758,0.0004548812,0.0006748623,0.0004017621,0.00114261,0.001118451,0.00112098,0.0005394321,0.0005532138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004829942,"about_ca_system_score_gemma":0.0004390267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168944,"about_ca_topic_score_gemma":0.002467111,"domain_scores_codex":[0.9996274,0.00008653033,0.0000283299,0.00009356516,0.00009147733,0.00007265919],"domain_scores_gemma":[0.999288,0.0002281532,0.0001765951,0.0001677696,0.0000743095,0.00006525475],"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":[0.0001473115,0.00002800685,0.001308296,0.00008521557,0.00002909521,0.0001607818,0.0001570189,0.93812,0.01077144,0.02446296,0.0006000318,0.02412992],"study_design_scores_gemma":[0.00002424068,0.00010066,0.0003561654,0.00001141203,0.00001039347,0.00006492149,0.00007426963,0.9843408,0.00411455,0.007087905,0.003793718,0.00002085478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.150006,0.0003608206,0.8413036,0.0001329213,0.00008588298,0.00009542131,0.0001290237,0.0006490248,0.007237355],"genre_scores_gemma":[0.7146855,0.0003549492,0.2778564,0.00008037523,0.00001355651,0.0001153954,0.0002853094,0.0001834759,0.006424959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004168944,"threshold_uncertainty_score":0.008289397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008273143911914246,"score_gpt":0.1801846803216924,"score_spread":0.1719115364097782,"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."}}