{"id":"W3093693419","doi":"10.1007/978-3-030-60376-2_18","title":"Robot Distancing: Planar Construction with Lanes","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Robot; Swarm behaviour; Robustness (evolution); Deadlock; Computer science; Planar; Task (project management); Cluster analysis; Distributed computing; Swarm robotics; Artificial intelligence; Simulation; 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":[0.0001356946,0.0009159911,0.0004068489,0.0004651552,0.0004830578,0.0009269773,0.001262014,0.0006481747,0.0167624],"category_scores_gemma":[0.0003744522,0.0006580066,0.0004925815,0.0007852431,0.0009948864,0.001383626,0.001643666,0.0009923253,0.004482772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609853,"about_ca_system_score_gemma":0.0005277699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008579877,"about_ca_topic_score_gemma":0.001358897,"domain_scores_codex":[0.9998001,0.00002813972,0.000005570031,0.00004924303,0.00008907309,0.00002790341],"domain_scores_gemma":[0.9999076,0.00002529662,0.00001100563,0.0000259465,0.00001899431,0.00001120165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001735193,0.00007820607,0.0003773219,0.0005403562,0.0000173022,0.0001183564,0.0002591893,0.1087482,0.04276396,0.171941,0.01366851,0.6613141],"study_design_scores_gemma":[0.00006702892,0.0004653689,0.001184028,0.0002172503,0.00004730848,0.001104028,0.0003785139,0.354642,0.05430182,0.2419254,0.3455622,0.00010503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01074364,0.0009019446,0.930561,0.0001493827,0.0001191543,0.00005972129,0.0001161586,0.001859279,0.05548973],"genre_scores_gemma":[0.2556306,0.002197105,0.662214,0.00009448505,0.00006265711,0.0001390545,0.0006611806,0.0009520273,0.07804883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0167624,"threshold_uncertainty_score":0.05607581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223757733065365,"score_gpt":0.1955682652187216,"score_spread":0.1833306878880679,"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."}}