{"id":"W3130452215","doi":"10.14434/do.v14i1.31811","title":"Understanding Sleep States","year":2021,"lang":"en","type":"article","venue":"Developmental Observer","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stollery Children's Hospital","funders":"","keywords":"Sleep (system call); Medicine; Psychology; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001071243,0.0001133798,0.0001092246,0.00005477633,0.0002418631,0.0001202216,0.0001862554,0.00004248123,0.001593936],"category_scores_gemma":[0.000217254,0.0001077213,0.00004346126,0.0005133218,0.00007316854,0.0002290369,0.0002155885,0.0001360835,0.0006106778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002861188,"about_ca_system_score_gemma":0.0001202193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007996832,"about_ca_topic_score_gemma":0.00002280824,"domain_scores_codex":[0.9985951,0.00008367801,0.0001599206,0.0003655552,0.0004266308,0.0003691835],"domain_scores_gemma":[0.9995355,0.000172826,0.00002324909,0.0001249089,0.00002893727,0.0001145818],"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":[0.0001517292,0.0007675518,0.1436078,0.0001479156,0.0001130026,0.004852413,0.00382606,0.000209528,0.7254873,0.08045003,0.01992338,0.02046325],"study_design_scores_gemma":[0.000557085,0.00001342887,0.01281767,0.00001984525,0.000003224415,0.00007824791,0.001155648,0.0003420555,0.967023,0.003795414,0.01393691,0.000257453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974115,0.00004122009,0.001487328,0.0005895694,0.0003768273,0.00009950182,0.00001351544,0.00009324244,0.0231838],"genre_scores_gemma":[0.9954503,0.00003591943,0.0006561676,0.001072881,0.00002615705,0.00001361667,0.00001774793,0.00001878552,0.002708464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2415357,"threshold_uncertainty_score":0.9993187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3175804310863246,"score_gpt":0.3108620484953625,"score_spread":0.006718382590962135,"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."}}