{"id":"W2991224978","doi":"10.1002/hipo.23181","title":"The contributions of spatial context and imagery to the recollection of single words","year":2019,"lang":"en","type":"article","venue":"Hippocampus","topic":"Categorization, perception, and language","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Recall; Psychology; Spatial contextual awareness; Mental image; Context (archaeology); Cognitive psychology; Neuroscience; Cognitive science; Artificial intelligence; Cognition; Computer science; Geography","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":[0.0003065131,0.00006400545,0.0001222683,0.00004610023,0.0001356333,0.00001655869,0.00008416788,0.00005658904,0.0007915751],"category_scores_gemma":[0.0001039547,0.00004089614,0.00003736374,0.0001857914,0.00008908991,0.00002490748,0.00001898654,0.00006224935,0.00007264784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551053,"about_ca_system_score_gemma":0.00002717391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045438,"about_ca_topic_score_gemma":0.002682025,"domain_scores_codex":[0.9993518,0.0001240869,0.0001874013,0.0001255943,0.00008731343,0.0001238227],"domain_scores_gemma":[0.9992263,0.0002391439,0.000104829,0.0002661076,0.0001351298,0.00002853433],"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":[0.001466191,0.0006516192,0.05670498,0.00006662936,0.0003391052,0.000003545576,0.07844924,0.00006170892,0.2102696,0.02559126,0.05745329,0.5689428],"study_design_scores_gemma":[0.005368534,0.002209564,0.6842672,0.0001041405,0.0002332236,0.0001362149,0.04796063,0.0002284569,0.01458607,0.007844554,0.2364362,0.0006252158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890766,0.0004377915,0.002601658,0.0007761384,0.001260578,0.0004194154,0.00003776046,0.00001623154,0.005373892],"genre_scores_gemma":[0.9948703,0.00002363163,0.00001073984,0.00013963,0.0001229654,0.00002107847,0.00001394257,0.000007818484,0.004789891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6275622,"threshold_uncertainty_score":0.8667192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008621051904349163,"score_gpt":0.2675028673015685,"score_spread":0.2588818153972194,"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."}}