{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008515158,0.0003029024,0.000294556,0.0001657562,0.00007641111,0.000119317,0.0004457314,0.0001385729,0.00003432613],"category_scores_gemma":[0.000009767948,0.0002469072,0.00003670964,0.0001702691,0.0003327079,0.0001048878,0.00005068721,0.0004803041,0.00002945239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103584,"about_ca_system_score_gemma":0.00006905419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008910584,"about_ca_topic_score_gemma":0.00008282553,"domain_scores_codex":[0.9986616,0.000004520492,0.000211327,0.000496284,0.0003639406,0.0002622966],"domain_scores_gemma":[0.9994169,0.00006166699,0.00004990422,0.0003239479,0.00004813416,0.00009944586],"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":[0.000006648364,0.000002442385,0.00007611281,0.00008632807,0.00001491645,0.0001141053,0.0002800238,0.7782277,0.0002493867,0.006025558,0.00001771871,0.2148991],"study_design_scores_gemma":[0.000245008,0.0002748884,0.0001660917,0.0009439974,0.00003153826,0.0003517446,0.000001227105,0.9368784,0.009358685,0.04394503,0.006301289,0.001502145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007401451,0.0003113167,0.9946943,0.0001323173,0.0007496618,0.0001444195,0.000005775746,0.000178772,0.003709414],"genre_scores_gemma":[0.6876389,0.0001153239,0.3107382,0.0004412469,0.0007891208,0.000005847606,0.00002093144,0.000094159,0.0001562462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6875649,"threshold_uncertainty_score":0.9999983,"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."}}