{"id":"W2167071388","doi":"10.1109/rose.2008.4669173","title":"Emergent exploration and resource gathering in collaborative robotic environments","year":2008,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Implementation; Robot; Robotics; Computer science; Artificial intelligence; Resource (disambiguation); Human–computer interaction; Mobile robot; Autonomous robot; Distributed computing; Software engineering","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":[0.0006633293,0.0002527421,0.0002941363,0.0004030873,0.0007768043,0.001063627,0.0004842221,0.0005823033,0.0008549152],"category_scores_gemma":[0.001865215,0.0001782555,0.0003292826,0.000375398,0.00178129,0.001503434,0.001991482,0.0004596313,0.0001693395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862047,"about_ca_system_score_gemma":0.0003882202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005709654,"about_ca_topic_score_gemma":0.0005992176,"domain_scores_codex":[0.999521,0.0001852303,0.00001753002,0.00007017554,0.000142473,0.00006351899],"domain_scores_gemma":[0.9991518,0.0004408638,0.0001306965,0.0001234384,0.00006220544,0.00009107883],"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":[0.0001592656,0.0001516712,0.004528421,0.0004659836,0.0001192437,0.001760045,0.003633071,0.2630295,0.02448012,0.5206985,0.003194098,0.17778],"study_design_scores_gemma":[0.00007661303,0.000251338,0.003382422,0.0000625153,0.00005308536,0.0009269205,0.001617142,0.4534156,0.008943938,0.5038874,0.02733503,0.00004800887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2311784,0.001142455,0.7393672,0.0007280736,0.00006202981,0.00008234906,0.00003127976,0.0003203755,0.02708772],"genre_scores_gemma":[0.9053223,0.0006276586,0.09053567,0.0000662591,0.00004772609,0.00008968276,0.00004115946,0.00003391043,0.003235777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001063627,"threshold_uncertainty_score":0.003508031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207047079938133,"score_gpt":0.2061538077475606,"score_spread":0.1840833369481793,"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."}}