{"id":"W2891731077","doi":"10.2196/11772","title":"Digital Media Recruitment for Fall Prevention Among Older Chinese-American Individuals: Observational, Cross-Sectional Study","year":2018,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Outreach; Demographics; Population; Advertising; Ethnic group; Cross-sectional study; Social media; Medicine; Descriptive statistics; Demography; Psychology; Computer science; Environmental health; Business; World Wide Web; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005521486,0.0003461467,0.0004424223,0.001104684,0.001616684,0.0008146282,0.00061348,0.0007419391,0.001890959],"category_scores_gemma":[0.008352125,0.0006220651,0.0006194504,0.001260004,0.0006302837,0.001589957,0.0008835529,0.0009394326,0.0005135268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008690138,"about_ca_system_score_gemma":0.00220098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008610865,"about_ca_topic_score_gemma":0.01443366,"domain_scores_codex":[0.9980074,0.0006343517,0.0003338927,0.0002890519,0.0005086504,0.000226856],"domain_scores_gemma":[0.9938415,0.001535182,0.002395525,0.0004848391,0.001001222,0.0007416432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001689894,0.0009985209,0.9949175,0.00008504243,0.00005009022,0.00005497333,0.0009744716,0.00001450641,0.0001130147,0.00003024775,0.000323364,0.002269317],"study_design_scores_gemma":[0.00009903118,0.001975101,0.9928019,0.0001076688,0.0001055845,0.0002495623,0.003475521,0.0003271395,0.0001307587,0.00005189049,0.0006595871,0.00001629597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981609,0.0001610044,0.0002822376,0.00006140763,0.000008885562,0.0005030194,0.0003614028,0.000004897106,0.0004561814],"genre_scores_gemma":[0.9968075,0.000200681,0.0008952206,0.0003060326,0.00002589616,0.0009827187,0.0005033616,0.000003625721,0.00027496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008610865,"threshold_uncertainty_score":0.02920079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2841241191604107,"score_gpt":0.5121091605402585,"score_spread":0.2279850413798478,"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."}}