{"id":"W3043318431","doi":"10.3390/robotics9030054","title":"Probabilistic Allocation of Specialized Robots on Targets Detected Using Deep Learning Networks","year":2020,"lang":"en","type":"article","venue":"Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministère de la Défense Nationale","keywords":"Artificial intelligence; Task (project management); Computer science; Probabilistic logic; Reliability (semiconductor); Segmentation; Robot; Object (grammar); Machine learning; Deep learning; Object detection; Robotics; Bayesian network; Computer vision; Real-time computing; Engineering; Systems engineering","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":[0.0005655435,0.0008459928,0.0007855746,0.000383618,0.000277704,0.0006940471,0.001122161,0.0006248609,0.001372397],"category_scores_gemma":[0.002054089,0.0004277811,0.0004324932,0.0005041417,0.0005184359,0.001072357,0.001273406,0.000625047,0.0003268282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007402968,"about_ca_system_score_gemma":0.0008194201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565176,"about_ca_topic_score_gemma":0.003650908,"domain_scores_codex":[0.9995788,0.00008212763,0.00001965108,0.0001367132,0.00008801585,0.00009469905],"domain_scores_gemma":[0.9994435,0.0001892458,0.0001249915,0.0001005616,0.00008877219,0.00005290972],"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":[0.0001872297,0.00007269524,0.001280118,0.00004280785,0.00003048685,0.00006374374,0.00006460102,0.8692703,0.009052718,0.003953676,0.0007257205,0.1152559],"study_design_scores_gemma":[0.000002859822,0.00001911662,0.0002033422,0.00000208579,0.000003992481,0.00001213964,0.000007346183,0.9954761,0.001895351,0.002134503,0.0002401795,0.00000299762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0357063,0.00009260417,0.9626374,0.00005908258,0.00001776453,0.0000279106,0.00002736747,0.0003859048,0.001045706],"genre_scores_gemma":[0.8837347,0.0001231626,0.1126623,0.0001033326,0.00003366109,0.00007872505,0.0001175434,0.00008681123,0.00305975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002565176,"threshold_uncertainty_score":0.005371213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124966322709233,"score_gpt":0.2171916020325947,"score_spread":0.1959419388055024,"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."}}