{"id":"W4280585808","doi":"10.1080/15248372.2022.2072846","title":"Examining Temporal Memory and Flexible Retrieval of Conventional Time Knowledge across Middle to Late Childhood","year":2022,"lang":"en","type":"article","venue":"Journal of Cognition and Development","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Timeline; Semantic memory; Psychology; Episodic memory; Cognitive psychology; Vocabulary; Task (project management); Working memory; Developmental psychology; Cognition; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094217,0.0003011924,0.00024846,0.001026128,0.0003948454,0.0009721011,0.0003470676,0.0003915911,0.0008814907],"category_scores_gemma":[0.002765262,0.0002216223,0.0003014573,0.0005167217,0.0005010565,0.0008580614,0.0006329106,0.0004832262,0.0001686296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004964612,"about_ca_system_score_gemma":0.0005061132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238634,"about_ca_topic_score_gemma":0.02358937,"domain_scores_codex":[0.999756,0.00003420815,0.00002590212,0.00006447502,0.00006475799,0.00005471929],"domain_scores_gemma":[0.998525,0.0003581086,0.000570645,0.0001461618,0.0002212765,0.0001788254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002144652,0.0001558189,0.9703097,0.00006891511,0.00005835773,0.0003032465,0.005193166,0.0001195695,0.007628747,0.0003627882,0.0001153623,0.01547002],"study_design_scores_gemma":[0.000001619352,0.0001193365,0.9974478,0.00001373523,0.00001525801,0.0001450384,0.0009282594,0.00007003532,0.001007039,0.00009691881,0.000150562,0.000004429726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995195,0.0001245755,0.00006523924,0.000007480083,0.000001250901,0.000001807896,0.00002781171,0.00000133581,0.0002510269],"genre_scores_gemma":[0.9993805,0.000131264,0.0002017947,0.000008083673,0.000001487663,0.000006014167,0.00006655118,0.000001182217,0.0002032946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01238634,"threshold_uncertainty_score":0.02462852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04987979008225396,"score_gpt":0.3026401065533272,"score_spread":0.2527603164710732,"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."}}