{"id":"W2799906000","doi":"10.1016/j.tics.2018.03.013","title":"Boundaries Shape Cognitive Representations of Spaces and Events","year":2018,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Episodic memory; Psychology; Cognitive psychology; Cognition; Spatial memory; Spatial cognition; Cognitive map; Cognitive science; Mechanism (biology); Chronesthesia; Spatial relation; Component (thermodynamics); Working memory; Artificial intelligence; Computer science; Neuroscience","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006720743,0.0003718508,0.0009682582,0.0009150682,0.0005741491,0.0001864541,0.0004250696,0.0001381118,0.0005756856],"category_scores_gemma":[0.002626755,0.0002725658,0.0001689125,0.002251545,0.004341451,0.0004430711,0.0002588732,0.0002693997,0.00003634295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001529714,"about_ca_system_score_gemma":0.0002345819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001367743,"about_ca_topic_score_gemma":0.00006782178,"domain_scores_codex":[0.9967241,0.0006582344,0.000571025,0.001128181,0.000531753,0.0003867485],"domain_scores_gemma":[0.9965252,0.002610026,0.0005543907,0.000133235,0.00008462201,0.00009252578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002234106,0.00009404051,0.00008170973,0.0007297107,0.00001476118,0.00002805231,0.0006862605,1.588357e-8,0.00005401474,0.000959396,0.00004403932,0.9972857],"study_design_scores_gemma":[0.008645061,0.01460825,0.003340319,0.2938513,0.006666837,0.002081762,0.01771494,0.0005338601,0.2979831,0.06937468,0.2741622,0.01103757],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02741676,0.9464726,0.00001920976,0.00006586767,0.000933983,0.0007782176,0.0007521142,0.0000554877,0.02350578],"genre_scores_gemma":[0.05560209,0.9430887,0.00006687943,0.00008475672,0.00008184717,0.0001034313,0.00001795633,0.00001942687,0.0009349922],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9862481,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4969968112685788,"score_gpt":0.5205755810071446,"score_spread":0.02357876973856582,"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."}}