{"id":"W1041075403","doi":"10.1007/s10071-015-0896-7","title":"Effects of landmark distance and stability on accuracy of reward relocation","year":2015,"lang":"en","type":"article","venue":"Animal Cognition","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Landmark; Artificial intelligence; Biology; Cartography; Computer vision; Geography; Computer science","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":[0.0001224638,0.00006010732,0.00009458229,0.00003635024,0.00001209285,0.000004630361,0.00002039723,0.00004108454,0.000006155878],"category_scores_gemma":[0.0003509265,0.00006160119,0.00001628499,0.0001045471,0.00002844622,0.0001190172,0.000005165959,0.00005179235,0.000005484955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720263,"about_ca_system_score_gemma":0.000008924841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001292197,"about_ca_topic_score_gemma":0.00001013049,"domain_scores_codex":[0.9995636,0.00003162576,0.0001487164,0.00007901728,0.0001214652,0.00005552072],"domain_scores_gemma":[0.9995426,0.000157226,0.00005301367,0.00005267991,0.0001568541,0.00003762787],"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":[0.003507681,0.0005287385,0.0131654,0.004243669,0.0001092231,0.000006319175,0.003037225,0.0001875618,0.8604169,0.003896502,0.001121229,0.1097795],"study_design_scores_gemma":[0.001214331,0.0006166163,0.06773488,0.0002731746,0.00004896819,0.000001246785,0.0001132838,0.003153127,0.9244173,0.002163547,0.0001324288,0.0001311108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947272,0.000152364,0.002749729,0.00001663137,0.0000549089,0.00018556,0.0000158229,0.00005374369,0.002044047],"genre_scores_gemma":[0.9997329,0.00004391155,0.0001110038,0.00001486691,0.00002384167,0.00001265765,0.0000518597,0.000007551369,0.000001373139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096484,"threshold_uncertainty_score":0.2512023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020491307421275,"score_gpt":0.2423014727559393,"score_spread":0.2218101653346643,"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."}}