{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007184705,0.000177902,0.0002545275,0.00006092344,0.00006630029,0.00002803224,0.0001006438,0.0001271284,0.00002382338],"category_scores_gemma":[0.0002085361,0.0001948236,0.00005985725,0.0003679735,0.0000283173,0.00005192684,0.00001792224,0.0002235201,0.000009388231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008260565,"about_ca_system_score_gemma":0.00001586038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000478601,"about_ca_topic_score_gemma":0.00000589615,"domain_scores_codex":[0.9989666,0.00005914488,0.0003623655,0.0001815618,0.0001957031,0.0002346436],"domain_scores_gemma":[0.9994765,0.00007615709,0.00008690806,0.0001409948,0.0001114197,0.0001080269],"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":[0.00002106999,0.00001919349,0.0001704093,0.0000921843,0.00002801256,0.000003429247,0.0001534961,0.9941444,0.003083193,0.00107126,0.00002106513,0.001192282],"study_design_scores_gemma":[0.0003201446,0.00009294965,0.0004157362,0.00004805624,0.00004706814,0.000001039212,0.00002167571,0.9971034,0.001652508,0.00006144073,0.00004424953,0.0001917441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01434425,0.0001513109,0.9844411,0.00006302554,0.0002709127,0.0002399638,9.183166e-7,0.0002334898,0.0002550314],"genre_scores_gemma":[0.9806378,0.00005154189,0.01890364,0.00005022386,0.0002435123,0.000001960038,0.00004238504,0.00006236418,0.000006550602],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9662936,"threshold_uncertainty_score":0.7944676,"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."}}