{"id":"W2558492121","doi":"10.1038/npp.2016.227","title":"REM Sleep on It!","year":2016,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; McGill University; National Institutes of Health; National Science Foundation","keywords":"Sleep (system call); Psychology; Neuroscience; Computer science","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":[0.001235178,0.0009619619,0.0008569142,0.0006419322,0.001908084,0.002624459,0.001091121,0.002823344,0.04051051],"category_scores_gemma":[0.003379394,0.0002715771,0.0008700312,0.0002962473,0.002919547,0.00435703,0.003334756,0.007963852,0.01820508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008043174,"about_ca_system_score_gemma":0.001694603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002820201,"about_ca_topic_score_gemma":0.006190654,"domain_scores_codex":[0.9993582,0.000192327,0.00005116898,0.00008919587,0.0001961401,0.0001128792],"domain_scores_gemma":[0.9988808,0.0001814818,0.00009975279,0.0001882566,0.0003354984,0.000314136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004821602,0.00009088103,0.0009854019,0.001040544,0.0001228502,0.0005606237,0.001070958,0.00005735043,0.004652137,0.03938079,0.6264418,0.3251145],"study_design_scores_gemma":[0.00005839519,0.0001330086,0.001932491,0.0009027056,0.00004795603,0.0008649662,0.001087842,0.00003260961,0.0006422654,0.02453683,0.9697258,0.00003513527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004977921,0.1662492,0.003029125,0.5772244,0.1075386,0.00007895592,0.0004659377,0.0007194838,0.1397164],"genre_scores_gemma":[0.06327792,0.1154348,0.003733029,0.3435225,0.08655136,0.0001627817,0.0004995257,0.0005181755,0.3862999],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04051051,"threshold_uncertainty_score":0.1355211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556435442909087,"score_gpt":0.366027974018989,"score_spread":0.3004636195898981,"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."}}