{"id":"W2968738979","doi":"10.1101/578492","title":"REM negatively predicts statistical learning but not other forms of gist","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University; Canada Research Chairs","keywords":"GiST; Psychology; Cognitive psychology; Schema (genetic algorithms); Statistical significance; Computer science; Information retrieval; Statistics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008153415,0.0002593753,0.0002278479,0.000451187,0.0001969558,0.0005353489,0.0002863243,0.0004601028,0.004199892],"category_scores_gemma":[0.008290731,0.0002032988,0.000240497,0.0002819604,0.0003876215,0.0004752965,0.0004050632,0.000335412,0.0004723801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121356,"about_ca_system_score_gemma":0.0001092489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020912,"about_ca_topic_score_gemma":0.002295589,"domain_scores_codex":[0.9997637,0.0000656991,0.00004534619,0.00005695622,0.00004244025,0.00002597931],"domain_scores_gemma":[0.9952084,0.001868036,0.001783884,0.0005975744,0.0003507382,0.0001914361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001724196,0.0002873903,0.966145,0.0001786293,0.0002130788,0.0002855304,0.0009081463,0.0003689677,0.01338085,0.0002143347,0.0003499969,0.01594396],"study_design_scores_gemma":[0.00001076969,0.000312172,0.9958386,0.00002514812,0.00003569914,0.0003816185,0.0004560172,0.0005599501,0.001652578,0.0004713737,0.0002474401,0.000008762679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985744,0.0001362564,0.0002469217,0.000054431,0.00000526624,0.00001364888,0.0001638514,0.000007189233,0.0007980316],"genre_scores_gemma":[0.9991642,0.00007073036,0.0002562233,0.00001713063,0.000005211632,0.00001104902,0.0001590001,0.000004314744,0.0003120817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004199892,"threshold_uncertainty_score":0.01405007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03754133765562959,"score_gpt":0.2722013529885033,"score_spread":0.2346600153328738,"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."}}