{"id":"W4200544426","doi":"10.20944/preprints201908.0208.v2","title":"Pitfalls in Sleep and Memory Research and How to Avoid Them: A Consensus Paper","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Magyar Tudományos Akadémia; Hungarian Scientific Research Fund; CHIST-ERA; Agence Nationale de la Recherche","keywords":"Forgetting; Memory consolidation; Sleep (system call); Task (project management); Computer science; Cognitive psychology; Declarative memory; Cognitive science; Reliability (semiconductor); Psychology; Neuroscience; Cognition","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":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003171626,0.0004136777,0.0006166839,0.0005491885,0.0002805722,0.0003284884,0.0009285772,0.0004484718,0.0007615925],"category_scores_gemma":[0.008091728,0.0004114854,0.0000821928,0.0007102361,0.0007782236,0.0001320803,0.009220717,0.002837405,0.000402261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601428,"about_ca_system_score_gemma":0.0002999211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004316247,"about_ca_topic_score_gemma":0.0002005461,"domain_scores_codex":[0.993181,0.001592359,0.0003829868,0.00254365,0.001258074,0.001041862],"domain_scores_gemma":[0.9958138,0.001546678,0.00009088565,0.001712336,0.0003149186,0.0005213921],"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":[0.0004185959,0.0005306624,0.3883718,0.0008246373,0.00005839341,0.001332175,0.007026494,0.00007792048,0.5923285,0.0009800534,0.0002985221,0.007752263],"study_design_scores_gemma":[0.001208744,0.00007041272,0.3117934,0.0006074813,0.00001606802,0.000157938,0.001891133,0.0002397997,0.6751103,0.005451469,0.002595559,0.0008576304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976332,0.000221998,0.000008648912,0.009950172,0.0002901109,0.001418081,0.00002558852,0.00007713919,0.01167623],"genre_scores_gemma":[0.9947204,0.0005491666,0.00008199725,0.000459042,0.0001224852,0.0005181539,0.000004350027,0.00006504882,0.003479381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08278184,"threshold_uncertainty_score":0.9998337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3481963596370219,"score_gpt":0.4161033113437342,"score_spread":0.06790695170671229,"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."}}