{"id":"W3080203368","doi":"10.3390/s20174815","title":"Sequential Localizing and Mapping: A Navigation Strategy via Enhanced Subsumption Architecture","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Architecture; Computer science; Artificial intelligence; Computer architecture; Human–computer interaction; Real-time computing; Systems engineering; Computational biology; Engineering; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003048855,0.0005136753,0.0003682054,0.000324867,0.0004086973,0.0005895642,0.001448898,0.0004512642,0.001654431],"category_scores_gemma":[0.0006221902,0.0002272522,0.0003989363,0.0002698298,0.0006785758,0.001308424,0.001083566,0.0004160721,0.000378595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006215051,"about_ca_system_score_gemma":0.0007479674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009252343,"about_ca_topic_score_gemma":0.008975914,"domain_scores_codex":[0.9997728,0.00003377486,0.00001320784,0.00009729186,0.00004978228,0.00003307059],"domain_scores_gemma":[0.999749,0.00004080095,0.00002880106,0.00007821267,0.00007511145,0.00002807374],"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":[0.0002329743,0.0001749082,0.00300723,0.0001511333,0.0001633996,0.0003686129,0.0007679117,0.5265188,0.06272922,0.06384166,0.002540647,0.3395036],"study_design_scores_gemma":[0.00001038838,0.00007953288,0.0005225576,0.000006065376,0.00004480582,0.00007459149,0.00004792814,0.9704604,0.01002431,0.01631982,0.002395213,0.00001446663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04798558,0.00007670926,0.9473307,0.00007620083,0.00001348691,0.00003563904,0.00003555424,0.001552686,0.002893414],"genre_scores_gemma":[0.7931012,0.00007553402,0.2028945,0.00007147388,0.000008376732,0.0000805317,0.0001204392,0.00008789417,0.003560064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009252343,"threshold_uncertainty_score":0.01839697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943753666006451,"score_gpt":0.215106448819315,"score_spread":0.1956689121592505,"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."}}