{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003089096,0.0003954238,0.0006933139,0.0001801056,0.00006525685,0.0001233246,0.0005174988,0.001440351,0.0002473835],"category_scores_gemma":[0.0008509877,0.0003055599,0.0001651734,0.0001023025,0.00001928779,0.0001368909,0.0000731656,0.001963102,0.00005594919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008681855,"about_ca_system_score_gemma":0.0001168447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009893999,"about_ca_topic_score_gemma":0.00002714751,"domain_scores_codex":[0.9977191,0.00003701959,0.0007846997,0.0001985986,0.0009184254,0.0003421402],"domain_scores_gemma":[0.9969394,0.001621827,0.0003090392,0.0003454746,0.0005751253,0.000209111],"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":[0.00005933174,0.00002255866,0.000002018684,0.0001907786,0.0001148622,0.00004535157,0.00009023997,0.054488,0.00001815816,0.00009124472,0.9372503,0.007627116],"study_design_scores_gemma":[0.0003117477,0.0005719244,6.779913e-7,0.0006265535,0.0001096723,0.00001287307,0.00001528029,0.0004770634,0.0004626286,0.0004387497,0.9966143,0.000358532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000002666729,0.0003270978,0.0174728,0.002104066,0.977181,0.00008765197,0.00001422455,0.00003200367,0.002778548],"genre_scores_gemma":[0.00002123984,0.004233872,0.002196973,0.000278198,0.9924472,7.845599e-7,0.000003938398,0.00007097732,0.0007468079],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05936395,"threshold_uncertainty_score":0.9999397,"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."}}