{"id":"W4285299332","doi":"10.2316/j.2022.206-0471","title":"BRAIN-INSPIRED COGNITIVE MAP BUILDING FOR MOBILE ROBOT, 88-96.","year":2022,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile robot; Cognitive map; Computer science; Robot; Cognition; Artificial intelligence; Mechanism (biology); Mobile robot navigation; Computer vision; Human–computer interaction; Psychology; Neuroscience; Robot control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216453,0.0003320419,0.0001977289,0.0002677655,0.000388892,0.0006104643,0.0004530941,0.0004181761,0.003240733],"category_scores_gemma":[0.000354592,0.0001766973,0.0004172368,0.0002786583,0.0005472312,0.0008836586,0.0003800749,0.0004548877,0.0007246365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480471,"about_ca_system_score_gemma":0.0003913103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363175,"about_ca_topic_score_gemma":0.004474648,"domain_scores_codex":[0.9999621,0.000006508157,0.000002159176,0.00001116432,0.00001234275,0.00000568513],"domain_scores_gemma":[0.9999615,0.00001135516,0.000003388783,0.000006762254,0.00001069718,0.000006348153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002295596,0.0001301063,0.001722321,0.0006153035,0.0001647404,0.0005437892,0.0005511328,0.1480266,0.06269073,0.222397,0.0264869,0.5364419],"study_design_scores_gemma":[0.00007767954,0.0001861164,0.003261386,0.00007324914,0.0001340263,0.0006106969,0.0002955457,0.7002013,0.05495945,0.1501158,0.09002303,0.00006172368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07283408,0.01055714,0.8513867,0.001583943,0.0008297783,0.0001069984,0.0002772745,0.001797252,0.06062676],"genre_scores_gemma":[0.7218392,0.003429601,0.24473,0.0002063729,0.00009396697,0.0001249806,0.0003141755,0.0001883474,0.02907334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003363175,"threshold_uncertainty_score":0.01084131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051443902354973,"score_gpt":0.2579862220008596,"score_spread":0.2474717829773099,"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."}}