{"id":"W2766795651","doi":"10.1101/196758","title":"Offline Replay Supports Planning: fMRI Evidence from Reward Revaluation","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; Princeton University; John Templeton Foundation","keywords":"Task (project management); Computer science; Artificial intelligence; Machine learning","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":[0.000627281,0.0002539638,0.0002524506,0.0002490928,0.0001389584,0.0006207553,0.0004366771,0.0004051064,0.001782229],"category_scores_gemma":[0.003744718,0.0003086448,0.0001866795,0.0001598081,0.0006469751,0.0006857063,0.000471492,0.0009425544,0.0001521106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296203,"about_ca_system_score_gemma":0.00023057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037762,"about_ca_topic_score_gemma":0.001020654,"domain_scores_codex":[0.9998447,0.00004737475,0.00001071916,0.00004408385,0.0000311022,0.00002204076],"domain_scores_gemma":[0.9984647,0.0006709273,0.000457964,0.0002282646,0.00008129249,0.00009686203],"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":[0.005670306,0.0006223667,0.03952269,0.0004649526,0.0004970714,0.001044584,0.001111449,0.009359767,0.8274623,0.004777523,0.001648235,0.1078188],"study_design_scores_gemma":[0.0003457926,0.002840865,0.6447206,0.0001351724,0.0004842529,0.002053572,0.0007166957,0.0480281,0.2537231,0.04263158,0.004161809,0.0001584001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830207,0.0003457482,0.01405153,0.000362692,0.00001805121,0.00001766991,0.0001611761,0.0001332175,0.001889222],"genre_scores_gemma":[0.9963953,0.0001383388,0.002879825,0.0000580348,0.000009679407,0.00001488099,0.00007282937,0.00003213626,0.0003991227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001782229,"threshold_uncertainty_score":0.005962193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1367624943451127,"score_gpt":0.3326001454531515,"score_spread":0.1958376511080388,"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."}}