{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001344648,0.00005939839,0.00007166102,0.00006995161,0.0000582247,0.00001172213,0.0001018,0.00001393019,0.001527804],"category_scores_gemma":[0.000008627045,0.00006237745,0.00002223269,0.0002018454,0.00000495431,0.00003717389,0.00004544351,0.0001773297,0.00003297524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009877497,"about_ca_system_score_gemma":0.00001041523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001957988,"about_ca_topic_score_gemma":0.0001563551,"domain_scores_codex":[0.9995042,0.00001419636,0.0001171675,0.00009470004,0.0001089761,0.0001607429],"domain_scores_gemma":[0.9998211,0.00001420842,0.000005012265,0.0001274077,0.000005158819,0.00002712787],"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":[0.000001622763,0.00001136629,0.0006228272,0.000005676869,0.000004161544,0.00001572373,0.0002753738,0.9869657,0.002235292,0.001006375,0.0014919,0.007364026],"study_design_scores_gemma":[0.0001872344,0.00004970985,0.002287331,0.000009113849,0.000003839094,0.00004365406,0.0008515079,0.9312228,0.0182274,0.0005295025,0.04619763,0.0003902569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7990126,0.00119584,0.07214937,0.0003084831,0.001750312,0.0002918278,0.000007013058,0.0008194879,0.124465],"genre_scores_gemma":[0.9972431,0.00001826296,0.001261918,0.00008321047,0.0000251185,0.00002069406,0.000001911624,0.00001585763,0.001329894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1982305,"threshold_uncertainty_score":0.9993849,"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."}}