{"id":"W4390192556","doi":"10.1002/alz.075155","title":"CAN‐THUMBS UP: Recruitment in the Virtual Era","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Western University; Institut Universitaire de Gériatrie de Montréal; Baycrest Hospital; Horizon Health Network; University of British Columbia; Lawson Health Research Institute; University of British Columbia Hospital","funders":"","keywords":"Population; Medicine; Literacy; Cohort; Specialty; Health literacy; Social media; Social network (sociolinguistics); Family medicine; Gerontology; Psychology; Health care; World Wide Web; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04815806,0.0006418665,0.0007350935,0.0009868221,0.005486622,0.005067655,0.003634714,0.00138397,0.06476032],"category_scores_gemma":[0.05389043,0.0008705914,0.0006855442,0.0009375848,0.001430029,0.002413055,0.008034157,0.00187731,0.01994069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894332,"about_ca_system_score_gemma":0.0127186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937723,"about_ca_topic_score_gemma":0.01117564,"domain_scores_codex":[0.9600279,0.03028147,0.001188389,0.001363277,0.00324427,0.003894709],"domain_scores_gemma":[0.9687849,0.00903589,0.001286782,0.005932226,0.002996676,0.01196351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007089303,0.006405005,0.02547566,0.001255784,0.00007726843,0.001500187,0.01459006,0.0005371132,0.002983032,0.006256899,0.3333489,0.6004809],"study_design_scores_gemma":[0.01278513,0.01947365,0.08815887,0.00360499,0.0002835853,0.001797559,0.03853592,0.01007806,0.006708953,0.02153357,0.7964918,0.000547961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3579383,0.001366102,0.11263,0.03608029,0.009472448,0.2377171,0.008961947,0.006427749,0.2294061],"genre_scores_gemma":[0.5414088,0.0008293053,0.1192927,0.02108118,0.002285189,0.2762629,0.003086925,0.0008253285,0.03492761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06476032,"threshold_uncertainty_score":0.2546872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2485841502714676,"score_gpt":0.4288583588032696,"score_spread":0.1802742085318019,"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."}}