{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002235595,0.00013811,0.0002874799,0.0000576188,0.00008515702,0.0001571234,0.000374316,0.00008367572,0.00000500265],"category_scores_gemma":[0.00006061596,0.0001127591,0.00008807017,0.0002038706,0.00003539241,0.0004018207,0.0001161348,0.0003744148,0.000003384054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002773035,"about_ca_system_score_gemma":0.00006259802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000376269,"about_ca_topic_score_gemma":4.31184e-8,"domain_scores_codex":[0.9988908,0.00005922119,0.0003539711,0.0001737934,0.0002687947,0.0002533874],"domain_scores_gemma":[0.998996,0.0001242667,0.0003206764,0.0001211828,0.0001179479,0.0003199884],"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":[0.0002277596,0.0001400358,0.007901416,0.0001042075,0.0004951808,0.006833205,0.00876639,0.6928691,0.005647975,0.0003971172,0.01368728,0.2629304],"study_design_scores_gemma":[0.0004582694,0.0001665364,0.001005751,0.00006961601,0.0000308006,0.001073442,0.0001146726,0.9960945,0.0001164149,0.00006114825,0.0006470605,0.0001617523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1647113,0.001093997,0.8322265,0.001174134,0.0006685777,0.00004287333,7.938964e-7,0.00003037455,0.00005140426],"genre_scores_gemma":[0.7320659,0.0001466343,0.2655216,0.001235725,0.001009868,1.207858e-7,2.111509e-7,0.00001078153,0.000009116536],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5673546,"threshold_uncertainty_score":0.4598184,"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."}}