{"id":"W3154657052","doi":"10.1016/j.ecns.2021.03.006","title":"Using Social Media and Snowball Sampling as an Alternative Recruitment Strategy for Research","year":2021,"lang":"en","type":"article","venue":"Clinical Simulation in Nursing","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":403,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Snowball sampling; Social media; Psychology; Pandemic; Sampling (signal processing); Coronavirus disease 2019 (COVID-19); Perception; Process (computing); Medical education; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005917275,0.00007917045,0.0002236172,0.0001081303,0.0009783638,0.0001329933,0.0001045853,0.0002717944,0.00004943551],"category_scores_gemma":[0.02153326,0.00009732373,0.00004680306,0.0004989106,0.0005198147,0.000286044,0.00001813103,0.0003624166,0.000002705249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007396906,"about_ca_system_score_gemma":0.001001591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005783933,"about_ca_topic_score_gemma":0.0009339795,"domain_scores_codex":[0.9961275,0.001936767,0.0006008231,0.0004084512,0.0004818471,0.0004445895],"domain_scores_gemma":[0.9747339,0.02408964,0.0001566679,0.00009850538,0.0006870943,0.0002341947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001623648,0.0005306774,0.02295298,0.00002999629,0.00001017359,0.000002459274,0.1543132,0.006989451,0.00002996971,0.06794201,0.00001937405,0.7470174],"study_design_scores_gemma":[0.002067907,0.0002340686,0.1478923,0.0005747902,0.00003782335,6.253687e-7,0.08964707,0.08554012,0.00004304289,0.6682724,0.005307372,0.0003824312],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988631,0.000161352,0.00197528,0.002682956,0.004175976,0.001463963,0.000004205512,0.00002806939,0.0008772352],"genre_scores_gemma":[0.9905648,0.00007263279,0.004798324,0.00008038821,0.004311025,0.0001273696,0.00002180264,0.00001575274,0.00000790169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7466349,"threshold_uncertainty_score":0.9867088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9089548233768578,"score_gpt":0.7370835837977652,"score_spread":0.1718712395790927,"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."}}