{"id":"W2042414763","doi":"10.3758/s13421-014-0394-1","title":"Contracting, equal, and expanding learning schedules: The optimal distribution of learning sessions depends on retention interval","year":2014,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Schedule; Psychology; Session (web analytics); Context (archaeology); Extant taxon; Cognitive psychology; Cued recall; Interval (graph theory); Recall; Forgetting; Computer science; Free recall; Mathematics","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":[0.0009071919,0.0001307422,0.000156031,0.00005921518,0.000705727,0.0001059697,0.0001087182,0.00006849637,0.00007147116],"category_scores_gemma":[0.003958627,0.00009726313,0.00005511084,0.0001654133,0.0001579302,0.0004118717,0.00005754662,0.0004475405,0.00001837672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001779085,"about_ca_system_score_gemma":0.00001663569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006623072,"about_ca_topic_score_gemma":0.000001295443,"domain_scores_codex":[0.9984124,0.0004893913,0.0002838316,0.0003239579,0.0002849885,0.0002054074],"domain_scores_gemma":[0.9987458,0.0006732972,0.0003377904,0.0001029178,0.00008805444,0.00005213688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002468671,0.0001004761,0.001395238,0.0001402353,0.0000105719,0.000003675694,0.0009093555,0.003169977,0.9328,0.002805469,0.00001835692,0.05839978],"study_design_scores_gemma":[0.0009857038,0.0009860569,0.004581346,0.0007696222,0.00007128579,0.0000413363,0.006065791,0.02836943,0.9560724,0.0009038105,0.0008707409,0.0002824866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802486,0.00002768302,0.01694701,0.0001077277,0.0001610575,0.0001420877,0.000005084205,0.00007123838,0.002289512],"genre_scores_gemma":[0.9995015,0.00006913803,0.00004436421,0.0001096315,0.0001027292,0.00001876293,0.00003249851,0.000011784,0.0001095364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05811729,"threshold_uncertainty_score":0.5427953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139048341751854,"score_gpt":0.3101561663074038,"score_spread":0.2587656828898852,"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."}}