{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003895754,0.0001337398,0.0001227869,0.00004625447,0.00005304204,0.00004829927,0.00003763271,0.00008873623,0.00001731232],"category_scores_gemma":[0.00001064582,0.0001420521,0.00002782047,0.0001935486,0.00002781521,0.00005240123,0.000008824679,0.0001454782,0.00001980807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524239,"about_ca_system_score_gemma":0.000006781611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074647,"about_ca_topic_score_gemma":0.000005448694,"domain_scores_codex":[0.9993266,0.00003028086,0.0001742801,0.0001770006,0.0001235319,0.0001682499],"domain_scores_gemma":[0.9997443,0.000014695,0.00002682811,0.00007731946,0.00003355512,0.000103311],"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":[0.000006650613,0.000002625907,0.00002873257,0.00009988372,0.00001429131,0.000006245951,0.0007531556,0.8029621,0.1884088,0.0001229629,0.00002843339,0.007566088],"study_design_scores_gemma":[0.0002574871,0.00003586525,0.0001748991,0.00003508537,0.00001275156,0.000008131429,0.0001568253,0.9477792,0.05057855,0.0002355388,0.0005366909,0.0001889942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6120549,0.000060969,0.3870995,0.0001473984,0.00007594407,0.0001032006,0.000003050533,0.0001964196,0.0002586038],"genre_scores_gemma":[0.9984345,0.00002915573,0.001193024,0.00006775079,0.0001576285,0.00000227323,0.00007119126,0.00003060787,0.00001380871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3863797,"threshold_uncertainty_score":0.5792716,"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."}}