{"id":"W2999569802","doi":"10.1515/pjbr-2019-0033","title":"Collective expression: how robotic swarms convey information with group motion","year":2019,"lang":"en","type":"article","venue":"Paladyn Journal of Behavioral Robotics","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Swarm behaviour; Computer science; Human–computer interaction; Swarm robotics; Robot; Artificial intelligence; Metric (unit); Swarm intelligence; Modality (human–computer interaction); Modalities; Motion (physics); Machine learning; Engineering","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":[0.002131425,0.0004260442,0.0002620431,0.0003233548,0.0006659047,0.00178284,0.0006274939,0.0008242803,0.00275811],"category_scores_gemma":[0.007324956,0.0002302633,0.0004965246,0.0001854136,0.00291519,0.002257218,0.001496056,0.000836905,0.0003161124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005268197,"about_ca_system_score_gemma":0.00028562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008436064,"about_ca_topic_score_gemma":0.000472509,"domain_scores_codex":[0.9983637,0.001111764,0.00005314261,0.0002071846,0.0001986619,0.00006549957],"domain_scores_gemma":[0.996955,0.001797676,0.0003067143,0.0005179565,0.0003013312,0.0001213303],"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":[0.000509806,0.0002219028,0.01082347,0.00056032,0.0001232728,0.001335474,0.05211145,0.1072144,0.2128665,0.4872109,0.005150049,0.1218723],"study_design_scores_gemma":[0.000157315,0.0008732656,0.008187323,0.000266242,0.0001391768,0.0009993443,0.008832001,0.5987621,0.05484506,0.2790135,0.04774385,0.000180827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3642565,0.0001535046,0.6174686,0.001662926,0.00007200195,0.0001316094,0.00006893853,0.001193184,0.01499268],"genre_scores_gemma":[0.9421203,0.00006387068,0.0550698,0.0001052797,0.00001308766,0.00007371058,0.000044759,0.0001213085,0.002387764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00275811,"threshold_uncertainty_score":0.01127213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657520578754498,"score_gpt":0.2332179500969643,"score_spread":0.2166427443094193,"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."}}