{"id":"W4378611319","doi":"10.1093/sleep/zsad077.0662","title":"0662 Digital sleep-health surveillance: Population nightmare frequency is observable in social media","year":2023,"lang":"en","type":"article","venue":"SLEEP","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nightmare; Declaration; Population; Psychiatry; Social media; Anxiety; Psychology; Mental health; Medicine; Political science; Environmental health; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007460418,0.0002898999,0.0001902153,0.002756412,0.0002876351,0.001084344,0.000307869,0.000299308,0.003944414],"category_scores_gemma":[0.003868085,0.0001329808,0.0002868341,0.002588874,0.0001648245,0.0009296497,0.0009701982,0.0002852442,0.001719014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691988,"about_ca_system_score_gemma":0.0002529858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005866668,"about_ca_topic_score_gemma":0.0115174,"domain_scores_codex":[0.9993383,0.0002106149,0.00009051873,0.0001406988,0.0001497237,0.00007009469],"domain_scores_gemma":[0.9963039,0.001067368,0.001346078,0.0003501234,0.0006862345,0.0002462776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000276784,0.0001440169,0.8689551,0.0008960039,0.0001679686,0.0001804372,0.002267977,0.0004159079,0.004226254,0.0006494215,0.01556554,0.1062547],"study_design_scores_gemma":[0.00001138777,0.0001176965,0.9788666,0.0001432202,0.00005501153,0.0002402338,0.001923859,0.002797255,0.00165644,0.0002487765,0.01391477,0.00002470321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987659,0.0006144632,0.003021949,0.000583121,0.0001040048,0.000421142,0.08016694,0.0004106618,0.01591188],"genre_scores_gemma":[0.9397335,0.0006677375,0.009131535,0.0002460788,0.0002403222,0.000565724,0.04425099,0.00006394956,0.005100269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005866668,"threshold_uncertainty_score":0.0131954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802999903531548,"score_gpt":0.320363830049545,"score_spread":0.2823338310142295,"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."}}