{"id":"W2911870351","doi":"10.31372/20180304.1019","title":"The Use of Social Media and mEMA Technology in Comparing Compliance Rate Among Users","year":2018,"lang":"en","type":"article","venue":"Asian/Pacific Island Nursing Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Nevada, Las Vegas","keywords":"Attrition; Attendance; Intervention (counseling); Compliance (psychology); Context (archaeology); Social media; Psychology; Applied psychology; Physical activity; Gerontology; Medicine; Social psychology; Computer science; World Wide Web; Physical therapy; Psychiatry; Political science","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":[0.02333624,0.0006749591,0.0005108879,0.003356556,0.0007596774,0.001735345,0.0006465711,0.001110309,0.002456618],"category_scores_gemma":[0.05785299,0.0003736695,0.001395029,0.003057523,0.0008013998,0.002037182,0.0013315,0.001175419,0.0005080907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004904433,"about_ca_system_score_gemma":0.0006820692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324494,"about_ca_topic_score_gemma":0.003392286,"domain_scores_codex":[0.9634238,0.02433575,0.004817676,0.001776817,0.005091256,0.0005547433],"domain_scores_gemma":[0.941411,0.03956384,0.007513062,0.003935994,0.006993969,0.0005821872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003907688,0.001762925,0.7735803,0.002546048,0.002041817,0.000175224,0.008674386,0.0004440385,0.003765703,0.001818037,0.002165965,0.1991179],"study_design_scores_gemma":[0.0001995995,0.005880668,0.9691793,0.0006260591,0.0009723012,0.0005742544,0.004568365,0.002154899,0.00475316,0.000936496,0.01001966,0.0001351794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381094,0.00359589,0.02168226,0.0006387245,0.0005700726,0.006266408,0.003081729,0.0001824821,0.02587295],"genre_scores_gemma":[0.9484215,0.001262504,0.03143589,0.0004446363,0.0002694303,0.01377116,0.001019926,0.00007662918,0.00329828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02333624,"threshold_uncertainty_score":0.1234154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005306721826319,"score_gpt":0.4090668211798598,"score_spread":0.3085361489972279,"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."}}