{"id":"W2150913116","doi":"10.1037/0735-7036.121.4.345","title":"Landmark-based search memory in the domestic dog (Canis familiaris).","year":2007,"lang":"en","type":"article","venue":"Journal of comparative psychology","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Moncton","keywords":"Landmark; Artificial intelligence; Canis; Computer vision; Metric (unit); Communication; Position (finance); Computer science; Pattern recognition (psychology); Biology; Cartography; Geography; Psychology; Engineering; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.002227197,0.0001450586,0.000344237,0.0003048364,0.0001005889,0.00002486118,0.000651701,0.00007973713,0.0001965911],"category_scores_gemma":[0.0001407984,0.00008950933,0.0001002283,0.0005141104,0.0002007615,0.0001164481,0.00001999079,0.0008195962,0.00006674684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003025336,"about_ca_system_score_gemma":0.00005610537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001835517,"about_ca_topic_score_gemma":0.00001433318,"domain_scores_codex":[0.9974062,0.001051287,0.000556863,0.0002150161,0.0004182229,0.0003523583],"domain_scores_gemma":[0.9974217,0.001895599,0.0002659252,0.0002415343,0.00007561352,0.00009962025],"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":[0.001582396,0.0006684231,0.001080684,0.00001273961,0.00001006707,0.002167912,0.002378109,0.0004141766,0.983825,0.002942001,0.002917157,0.002001286],"study_design_scores_gemma":[0.004924126,0.003174408,0.0969347,0.00006211578,0.00002617016,0.002379101,0.0009625679,0.0003499685,0.8745668,0.01231489,0.003989392,0.0003157943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979398,0.00007597869,0.003887006,0.002295856,0.001039356,0.0001868228,0.000002129957,0.000007433021,0.01310738],"genre_scores_gemma":[0.9925384,0.00002011773,0.000277081,0.006873693,0.0001768515,0.00000247282,2.374996e-7,0.000006907117,0.000104261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092583,"threshold_uncertainty_score":0.3650084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.211510985875784,"score_gpt":0.4893362186618168,"score_spread":0.2778252327860328,"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."}}