{"id":"W4236640098","doi":"10.3410/f.4694956.4577054","title":"Faculty Opinions recommendation of Sleep and brain energy levels: ATP changes during sleep.","year":2010,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sleep (system call); Psychology; Energy (signal processing); Audiology; Medicine; Neuroscience; Computer science; Statistics; Mathematics","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009224107,0.0005268165,0.000690695,0.0005749387,0.0005333635,0.0002207802,0.001320798,0.0005832062,0.0004946486],"category_scores_gemma":[0.01673199,0.0003707979,0.0003011343,0.002500278,0.0007251265,0.0004924983,0.0005406948,0.00111637,0.00002637546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007552469,"about_ca_system_score_gemma":0.0002918141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004231408,"about_ca_topic_score_gemma":0.0000237803,"domain_scores_codex":[0.9953601,0.000647572,0.001082656,0.001078933,0.001417289,0.0004134905],"domain_scores_gemma":[0.9939808,0.000368991,0.001504212,0.001106475,0.002682367,0.0003571348],"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":[0.00001185957,0.0002824909,0.000002704955,0.002030484,0.00001589295,2.677735e-7,0.0001240135,2.492494e-8,0.0007876547,0.0004700373,0.9913683,0.004906287],"study_design_scores_gemma":[0.0005083274,0.0001181876,0.002072515,0.002146378,0.00006948703,0.0000866565,0.00003304562,0.00001355487,0.002320011,0.00003180937,0.9922512,0.000348815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000100581,0.0001585219,0.00002998479,0.2495385,0.00196372,0.0006413561,0.7475541,0.00004220557,0.00006151365],"genre_scores_gemma":[0.0001194506,0.0003455779,0.00009750466,0.0188424,0.0004109817,0.0002592322,0.9780414,0.00002901419,0.001854517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2306961,"threshold_uncertainty_score":0.9998744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485430442095288,"score_gpt":0.3446941473839827,"score_spread":0.2961511031744539,"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."}}