{"id":"W6931924143","doi":"10.5683/sp3/8zeawt","title":"SS1 Sleep Annotations","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sleep (system call); Cohort; Sleep Stages; Cohort study; Sleep patterns; Eye movement","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781794,0.001242934,0.00103026,0.003956659,0.001546562,0.001464546,0.00134639,0.00133161,0.2594559],"category_scores_gemma":[0.01048162,0.0004425824,0.001054153,0.003710521,0.0003133146,0.001025967,0.001900284,0.0007835937,0.1048437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244726,"about_ca_system_score_gemma":0.003279222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02633114,"about_ca_topic_score_gemma":0.05157086,"domain_scores_codex":[0.9989717,0.0002013345,0.0002534875,0.0002637608,0.0001844643,0.0001252507],"domain_scores_gemma":[0.9933275,0.001571978,0.0005438525,0.001094756,0.003035956,0.0004259378],"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":[0.0005112754,0.00001544092,0.003191563,0.00220391,0.00003638598,0.0001619168,0.0002353239,0.00007844732,0.0007820646,0.0006148789,0.9724032,0.01976559],"study_design_scores_gemma":[0.0001832005,0.00005534446,0.02466834,0.001458332,0.00007978728,0.0003047946,0.0003982723,0.000136269,0.0006447248,0.00139346,0.9706239,0.00005355143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001415931,0.0009408346,0.0008948559,0.0003769696,0.0004328609,0.0002466648,0.9845356,0.0008094842,0.01034667],"genre_scores_gemma":[0.007799678,0.0008256608,0.002370811,0.0005733838,0.0003328005,0.001128941,0.965086,0.0006867474,0.02119591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2594559,"threshold_uncertainty_score":0.8679664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05704415793603546,"score_gpt":0.3378620929630292,"score_spread":0.2808179350269938,"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."}}