{"id":"W3112691945","doi":"10.3390/jsan9040056","title":"Toward Campus Mail Delivery Using BDI","year":2020,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Action (physics); Human–computer interaction; Architecture; Robot; Perception; Systems architecture; Embedded system; Software; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001218287,0.000627237,0.000402059,0.0007819169,0.0009258717,0.00211782,0.001097942,0.0007515011,0.006565186],"category_scores_gemma":[0.002591975,0.0005407368,0.0007583209,0.00051282,0.001183876,0.001832553,0.001540638,0.001152463,0.001829671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114473,"about_ca_system_score_gemma":0.00125723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005738169,"about_ca_topic_score_gemma":0.007545041,"domain_scores_codex":[0.9994289,0.0001337917,0.00004467071,0.0001082713,0.0002324839,0.00005184938],"domain_scores_gemma":[0.9993319,0.0002134326,0.000079641,0.0001601465,0.0001818162,0.00003303974],"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":[0.0004277201,0.0002608607,0.004197638,0.0004315647,0.00008434241,0.0003273649,0.000969878,0.3877371,0.02824404,0.192803,0.006720955,0.3777955],"study_design_scores_gemma":[0.00004877173,0.00008947731,0.000403243,0.0000464327,0.00003435504,0.0001032594,0.0001103512,0.9195984,0.01925584,0.04140629,0.01887372,0.00002990482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01188043,0.00008220293,0.9769545,0.0001280596,0.00003153393,0.0001106841,0.00007638889,0.004392581,0.006343521],"genre_scores_gemma":[0.2526538,0.0001910102,0.7414317,0.00009602544,0.00001297559,0.0001643956,0.0002670266,0.0003349681,0.0048482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006565186,"threshold_uncertainty_score":0.0219627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012449474714676,"score_gpt":0.2395318833363766,"score_spread":0.1994073885892299,"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."}}