{"id":"W2562093318","doi":"10.1002/rob.21703","title":"Editorial: Special Issue on Field and Service Robotics","year":2016,"lang":"en","type":"editorial","venue":"Journal of Field Robotics","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Citation; Service (business); Field (mathematics); Artificial intelligence; Library science; Computer science; Robotics; World Wide Web; Operations research; Robot; Engineering; Mathematics","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":[0.00591194,0.004834241,0.004673998,0.005196938,0.003455093,0.009246562,0.003622663,0.01756594,0.01915951],"category_scores_gemma":[0.01993079,0.001341271,0.003056337,0.001715239,0.002599975,0.004214265,0.002355035,0.01498341,0.01422554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002986585,"about_ca_system_score_gemma":0.002962954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129491,"about_ca_topic_score_gemma":0.005567427,"domain_scores_codex":[0.9946866,0.0007195304,0.0005872838,0.0006671232,0.002929746,0.0004096447],"domain_scores_gemma":[0.9850082,0.00412115,0.001460036,0.0004770054,0.006071197,0.002862336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003016346,0.00001451006,0.00002278243,0.0001305734,0.00001501351,0.000104023,0.00000548083,0.00002629236,0.0000526455,0.0002201545,0.9949697,0.004408755],"study_design_scores_gemma":[0.00005886145,0.00003054402,0.0002606742,0.0002768708,0.00004544375,0.0002079203,0.00002306074,0.000175968,0.00009689519,0.001095903,0.9977099,0.0000178571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002174003,0.002804727,0.00009812937,0.01374325,0.9820691,0.00001145482,0.00002618275,0.00002804341,0.001197391],"genre_scores_gemma":[0.0003018323,0.002503149,0.0001069527,0.008269515,0.9773247,0.00001657278,0.00003231692,0.00003051423,0.01141444],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01915951,"threshold_uncertainty_score":0.0640949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00798440754464097,"score_gpt":0.2486166104966391,"score_spread":0.2406322029519981,"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."}}