{"id":"W2043150039","doi":"10.1016/j.cognition.2008.02.004","title":"Reference directions and reference objects in spatial memory of a briefly viewed layout","year":2008,"lang":"en","type":"article","venue":"Cognition","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute of Mental Health; National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Table (database); Object (grammar); Perspective (graphical); Context (archaeology); Artificial intelligence; Psychology; Computer vision; Computer science; Communication; Data mining","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":[0.00006036835,0.00008287921,0.0001191932,0.0001220209,0.00004532195,0.0000058725,0.00002776032,0.000073235,0.00008341011],"category_scores_gemma":[0.00006681858,0.00009424159,0.00001454455,0.0001947275,0.00004787635,0.0001298237,0.000009480335,0.0001261676,0.0000248531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002127913,"about_ca_system_score_gemma":0.00001727077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001556595,"about_ca_topic_score_gemma":0.0006543579,"domain_scores_codex":[0.9994646,0.00003061635,0.0001896407,0.0001153689,0.0001033854,0.00009642405],"domain_scores_gemma":[0.9997208,0.00004370517,0.00003448941,0.00006656761,0.000096164,0.00003827158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004832529,0.0005827019,0.009999728,0.001297031,0.0001037743,0.0001028615,0.009523317,0.001054743,0.4186191,0.0004713578,0.001174821,0.5565873],"study_design_scores_gemma":[0.004179688,0.0003250684,0.6940302,0.0009166479,0.0001000472,0.0001263663,0.0005180209,0.01626596,0.2792427,0.002390234,0.00105599,0.000849147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677469,0.0002153154,0.001082648,0.00001214704,0.0001041003,0.0001658115,0.0000315681,0.0001303754,0.03051114],"genre_scores_gemma":[0.9990165,0.0005989282,0.0001273675,0.00003121063,0.00003139275,0.00003122726,0.0001219958,0.00001051828,0.00003090702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6840304,"threshold_uncertainty_score":0.384306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374090100700154,"score_gpt":0.235267144313707,"score_spread":0.2015262433067055,"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."}}