{"id":"W4405631560","doi":"10.1136/bmj.q2548","title":"Good nights: optimising children’s health through bedtime stories","year":2024,"lang":"en","type":"article","venue":"BMJ","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Bedtime; Medicine; Computer science; Multimedia; Data science; Psychiatry","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":[0.003719321,0.000907714,0.0003662811,0.0006432606,0.004144622,0.004860458,0.001561784,0.003163267,0.01868161],"category_scores_gemma":[0.01756235,0.0005003058,0.0009241165,0.0003056915,0.004207465,0.005951667,0.006965655,0.005929391,0.003230133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643047,"about_ca_system_score_gemma":0.001616603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184064,"about_ca_topic_score_gemma":0.01918638,"domain_scores_codex":[0.9977082,0.001369273,0.00005150102,0.00009644882,0.0003691402,0.0004053756],"domain_scores_gemma":[0.9906369,0.00414619,0.0005327167,0.0004063946,0.0004430999,0.003834723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002788941,0.0006566697,0.01481494,0.0008930741,0.0002189407,0.001971286,0.2007598,0.0003666291,0.0007965942,0.01212604,0.597167,0.1699502],"study_design_scores_gemma":[0.0001373424,0.0002937028,0.01296193,0.001403431,0.000168487,0.001679513,0.2040017,0.0003114969,0.0008687586,0.01445019,0.7635804,0.0001429609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2379911,0.0289867,0.01308162,0.4394014,0.02321423,0.0003935743,0.001910152,0.001853274,0.2531679],"genre_scores_gemma":[0.7982692,0.01754211,0.02842777,0.04719027,0.004492272,0.0007921493,0.0008651037,0.0009944927,0.1014266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01868161,"threshold_uncertainty_score":0.06249624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412178535539413,"score_gpt":0.3864445089659163,"score_spread":0.3523227236105221,"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."}}