{"id":"W3008417913","doi":"10.1007/s11370-020-00315-w","title":"Toward a robot swarm protecting a group of migrants","year":2020,"lang":"en","type":"article","venue":"Intelligent Service Robotics","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Swarm behaviour; Computer science; Robot; Computer security; Fuzzy logic; Geopolitics; Scale (ratio); Displacement (psychology); Architecture; Ontology; Swarm intelligence; Battlefield; Artificial intelligence; Human–computer interaction; Political science; Law; Geography; Machine learning; Particle swarm optimization","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":[0.0001792051,0.0003324119,0.0004455508,0.00008382176,0.0000617549,0.00004162759,0.0005551535,0.0001538303,0.0001061735],"category_scores_gemma":[0.00007784094,0.0003323288,0.0001465082,0.0006578171,0.00003038753,0.0001256639,0.000119342,0.0004682312,0.0002267957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005793931,"about_ca_system_score_gemma":0.00002109026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502289,"about_ca_topic_score_gemma":0.00007454812,"domain_scores_codex":[0.9981164,0.00004586104,0.0006886441,0.0003356491,0.0003608461,0.0004526221],"domain_scores_gemma":[0.9990509,0.00008136972,0.0001046487,0.0003421929,0.0001691773,0.0002517773],"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":[0.00002246331,0.00005598569,0.0001968242,0.001079645,0.0001045462,0.00002015571,0.004252919,0.9735968,0.01171628,0.0006477092,0.00007762644,0.008229093],"study_design_scores_gemma":[0.0001883427,0.000189185,0.0001187406,0.0002650419,0.00007011838,0.00002038173,0.001247749,0.7996818,0.1958796,0.0003669127,0.001391576,0.0005805061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02751314,0.0008361998,0.9681662,0.001244485,0.0004596266,0.0006059335,0.00001129848,0.0004847544,0.000678325],"genre_scores_gemma":[0.9779828,0.0002266484,0.02079409,0.0006879254,0.0001780217,0.00002113553,0.00001113692,0.00008633181,0.00001193843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9504696,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145097279128493,"score_gpt":0.2392503463367494,"score_spread":0.1777993735454644,"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."}}