{"id":"W4397290405","doi":"10.1093/pnasnexus/pgae203","title":"Learning to learn: Single session acquisition of new rules by freely moving mice","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; International Development Research Centre","keywords":"Session (web analytics); Computer science; Artificial intelligence; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008018223,0.0009014609,0.0007434615,0.000754986,0.000258159,0.0006286831,0.0015095,0.001159302,0.001482448],"category_scores_gemma":[0.00100426,0.0004696026,0.000662122,0.0001828845,0.001288465,0.0007858299,0.0008301463,0.002490555,0.0005297072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004195163,"about_ca_system_score_gemma":0.0004872098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006732707,"about_ca_topic_score_gemma":0.001363016,"domain_scores_codex":[0.9993213,0.00006933208,0.00006044807,0.0002267612,0.0001434293,0.000178702],"domain_scores_gemma":[0.9980521,0.0003012088,0.0006230732,0.0004041548,0.00006490998,0.000554528],"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":[0.0005450579,0.001119561,0.002085045,0.00008154466,0.00004339631,0.000158751,0.0002247314,0.0005723647,0.9823042,0.000747429,0.0002176439,0.01190024],"study_design_scores_gemma":[0.0003070432,0.009409416,0.02608789,0.00009448089,0.00008580788,0.001173313,0.0001278225,0.006882824,0.9492291,0.001894575,0.004609928,0.00009788172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927084,0.0001869247,0.005695544,0.0001227942,0.00002521182,0.0000655846,0.0002344893,0.0003705279,0.0005906291],"genre_scores_gemma":[0.9646163,0.0004754786,0.02643529,0.0003779983,0.00005425008,0.0004921597,0.0008508443,0.0003563059,0.006341286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0015095,"threshold_uncertainty_score":0.004959285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873857323873627,"score_gpt":0.2873306687988156,"score_spread":0.2685920955600793,"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."}}