{"id":"W3207754338","doi":"10.1146/annurev-psych-020821-111311","title":"The Basis of Navigation Across Species","year":2021,"lang":"en","type":"article","venue":"Annual Review of Psychology","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Foraging; Orientation (vector space); Component (thermodynamics); Path integration; Scale (ratio); Human–computer interaction; Communication; Computer science; Psychology; Ecology; Artificial intelligence; Geography; Biology; Cartography; Mathematics","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":[0.0004194337,0.0000675772,0.0002169575,0.000007694887,0.00008046346,0.000003933565,0.0002449084,0.00003555785,0.0002061967],"category_scores_gemma":[0.00115132,0.00004451503,0.00009673208,0.0002815003,0.0001835309,0.00006177455,0.00005643988,0.00009295973,0.00004102838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002646908,"about_ca_system_score_gemma":0.00001503464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.773991e-7,"about_ca_topic_score_gemma":0.00000128579,"domain_scores_codex":[0.9988091,0.0003347895,0.0003452168,0.0002080968,0.0001544199,0.0001483588],"domain_scores_gemma":[0.9989423,0.0003409402,0.000200364,0.0003753669,0.0001151321,0.00002590786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001914354,0.00006229718,0.00002030142,0.0008495394,0.000003969684,0.00002234119,0.0002195065,8.61161e-8,0.9240531,0.0146734,0.004568351,0.055508],"study_design_scores_gemma":[0.00008832078,0.00009685464,0.0004609258,0.0006167653,0.000007177765,0.00007417706,0.00009485724,3.882005e-7,0.9268437,0.001508791,0.07016574,0.00004231959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908053,0.0494751,0.0002061491,0.01754187,0.002430796,0.0004793077,0.0002281897,0.00003144465,0.02155419],"genre_scores_gemma":[0.7815557,0.2016864,0.0001538144,0.01405931,0.00009339403,0.00002074539,0.000006611188,0.00001311764,0.002410839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522113,"threshold_uncertainty_score":0.2257709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083514889315899,"score_gpt":0.4418943317044103,"score_spread":0.3335428427728204,"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."}}