{"id":"W4318766585","doi":"10.32920/21992075.v1","title":"Social Media Content About Children's Pain and Sleep: Content and Network Analysis","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Toronto Metropolitan University; University of British Columbia; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Canadian Institutes of Health Research; Nova Scotia Health Research Foundation","keywords":"Social media; Categorization; Content analysis; Psychology; Sleep (system call); World Wide Web; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001659838,0.0002274397,0.0002423978,0.01011913,0.0006814867,0.001382662,0.0002916163,0.0003393143,0.004872675],"category_scores_gemma":[0.009261772,0.0001774138,0.0004532324,0.008108697,0.0003674827,0.002045204,0.001486797,0.0003585145,0.0008449607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058291,"about_ca_system_score_gemma":0.0008445168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007483219,"about_ca_topic_score_gemma":0.01428295,"domain_scores_codex":[0.9990525,0.0003319739,0.0001474946,0.000120213,0.000237019,0.0001108528],"domain_scores_gemma":[0.9917566,0.005574198,0.001412032,0.0002298039,0.0008116165,0.0002158627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004840267,0.000166164,0.6878585,0.003877409,0.0001806841,0.0008536368,0.04962218,0.0006811013,0.005431287,0.002483719,0.01320713,0.2351542],"study_design_scores_gemma":[0.00001659704,0.0001448948,0.915906,0.000836908,0.0001536989,0.0006533675,0.04152102,0.004735159,0.002305617,0.001062188,0.03260598,0.00005864413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620825,0.000935968,0.003072543,0.0007481968,0.00002889072,0.0007702247,0.02254719,0.0001346344,0.009679867],"genre_scores_gemma":[0.9688483,0.001716629,0.01194247,0.0001117018,0.00006425141,0.001324965,0.01267228,0.00007180592,0.003247591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011913,"threshold_uncertainty_score":0.01630074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1512427179605751,"score_gpt":0.4292594383980547,"score_spread":0.2780167204374796,"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."}}