{"id":"W4281401054","doi":"10.1007/s41315-022-00242-2","title":"Introduction to the focused section on novel sensing and multi-sensor fusion in robotics","year":2022,"lang":"en","type":"article","venue":"International Journal of Intelligent Robotics and Applications","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Section (typography); Robotics; Artificial intelligence; Sensor fusion; Fusion; Computer science; Computer vision; Systems engineering; Engineering; Nanotechnology; Robot; Materials science; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001763423,0.00009374909,0.00009936299,0.0002011739,0.0001553868,0.00004871611,0.0001454346,0.00002294456,0.000008145081],"category_scores_gemma":[0.00002043231,0.00008080238,0.00003215027,0.0002106969,0.00002242107,0.00005224708,0.00006819092,0.0003004078,0.000002469402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512266,"about_ca_system_score_gemma":0.00001114234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267915,"about_ca_topic_score_gemma":0.00002401801,"domain_scores_codex":[0.9992157,0.00001281647,0.0003323323,0.0001273376,0.0002174344,0.00009437356],"domain_scores_gemma":[0.9995279,0.00006919372,0.00009584997,0.0001075327,0.0001434018,0.00005617985],"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":[0.00001041686,0.00007784252,0.00003658115,0.000002363202,0.00002147838,9.993706e-7,0.0001452123,0.9264314,0.003776883,0.005514855,0.0002076676,0.06377428],"study_design_scores_gemma":[0.0005637942,0.0001365173,0.001398562,0.00003266126,0.00002993201,0.0003150243,0.001112612,0.8123881,0.002022943,0.001223098,0.1805331,0.0002437304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006933424,0.0001120439,0.9846266,0.007449026,0.000554941,0.0002527885,0.00001776785,0.00001705947,0.00003633952],"genre_scores_gemma":[0.8852239,0.0005815675,0.1115434,0.0003212607,0.002096602,0.0000558073,0.00001869204,0.00003511902,0.000123578],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8782905,"threshold_uncertainty_score":0.3295026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836223871369097,"score_gpt":0.2644863284526105,"score_spread":0.2461240897389195,"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."}}