{"id":"W3213034185","doi":"10.1037/xge0001104","title":"General precedes specific in memory representations for structured experience.","year":2021,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada Foundation for Innovation","keywords":"PsycINFO; Psychology; Cognitive psychology; Representation (politics); Dimension (graph theory); Memory test; Test (biology); Computer science; Cognitive science; Social psychology; Artificial intelligence; Cognition; Mathematics","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":[0.0006089706,0.0003198201,0.0002647836,0.0004769139,0.0002260562,0.001614403,0.000746296,0.0007570217,0.008501772],"category_scores_gemma":[0.004809819,0.0004192952,0.0003489369,0.0003807173,0.0009762681,0.002417534,0.001216483,0.001436583,0.001324798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005564261,"about_ca_system_score_gemma":0.0004553953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008880656,"about_ca_topic_score_gemma":0.002245825,"domain_scores_codex":[0.9995911,0.00002671172,0.00002557304,0.0002201487,0.0001045654,0.00003186571],"domain_scores_gemma":[0.9976379,0.0005127855,0.0006150152,0.0007797167,0.0001968759,0.0002578339],"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":[0.0006858124,0.0006524581,0.1124533,0.001605733,0.0002263919,0.0008155952,0.005240094,0.002564492,0.4278075,0.02086702,0.004342542,0.4227391],"study_design_scores_gemma":[0.00004762077,0.002395539,0.8977497,0.0002964618,0.0001648456,0.001510754,0.001483446,0.005767468,0.04960798,0.02332859,0.01757477,0.00007293871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468007,0.001132941,0.02637153,0.0003735876,0.00008443551,0.000193067,0.0005908129,0.0004394841,0.0240135],"genre_scores_gemma":[0.9802769,0.0007563049,0.01244893,0.0002174621,0.00002454404,0.00009349621,0.0009851806,0.00007246087,0.005124677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008501772,"threshold_uncertainty_score":0.02844125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06455906992078822,"score_gpt":0.4002785342477754,"score_spread":0.3357194643269872,"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."}}