{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470554,0.0001940436,0.0002551083,0.0002571883,0.0001270931,0.0003763379,0.0003010612,0.0003735167,0.001177778],"category_scores_gemma":[0.0007791437,0.0001524286,0.00008769814,0.00007511343,0.0006562865,0.0005909249,0.0004537879,0.0004400958,0.000195363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802927,"about_ca_system_score_gemma":0.0001669655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411318,"about_ca_topic_score_gemma":0.003247604,"domain_scores_codex":[0.9998945,0.00001790146,0.000005070154,0.00003722994,0.00002104368,0.00002411837],"domain_scores_gemma":[0.9996754,0.0000488131,0.0001102519,0.00004867699,0.0000306836,0.00008622753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002046312,0.001421563,0.1141829,0.0003335607,0.0001322539,0.0005826897,0.002248809,0.0007159087,0.802655,0.0009128178,0.001433978,0.07333408],"study_design_scores_gemma":[0.0001753631,0.01158708,0.9077744,0.00006518249,0.000195886,0.002316219,0.002050755,0.004059134,0.06479174,0.002729058,0.004189869,0.00006535254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991345,0.0001894673,0.0001466371,0.00005686639,0.000007263704,0.000002750955,0.00001283094,0.00000482285,0.0004449162],"genre_scores_gemma":[0.997732,0.0002105483,0.0005518505,0.00009501104,0.000006858465,0.0000137992,0.0001041394,0.000004072576,0.001281629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001411318,"threshold_uncertainty_score":0.003940105,"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."}}