{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001242753,0.0001454371,0.0003647858,0.0002676419,0.002776495,0.00003370609,0.0002046908,0.0002397241,0.00003094065],"category_scores_gemma":[0.000308955,0.0001096052,0.00003590502,0.0004952636,0.0009750202,0.0001520083,0.00003467355,0.001168267,0.00001965932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832535,"about_ca_system_score_gemma":0.0003146695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002259156,"about_ca_topic_score_gemma":0.001105036,"domain_scores_codex":[0.9975033,0.0004607216,0.0008787152,0.0002139716,0.000175634,0.0007676954],"domain_scores_gemma":[0.9980049,0.0006876956,0.0006164432,0.0002297169,0.0002567042,0.0002045615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000791126,0.0001937445,0.6699691,0.0002860138,0.00004314597,0.00001230792,0.03970739,0.000005508509,0.0003176702,0.02889246,0.07523832,0.1845432],"study_design_scores_gemma":[0.002894149,0.0001457951,0.8612585,0.002041352,0.00003625771,0.0000687947,0.02235174,0.001738682,0.00003727859,0.01541112,0.09376975,0.0002465732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479836,0.0006864334,0.001918416,0.03408612,0.002740815,0.001661644,0.00002158384,0.00007866666,0.01082269],"genre_scores_gemma":[0.9981604,0.000429555,0.000504852,0.00009837896,0.0005011549,0.0001229644,0.000004043168,0.00002050085,0.0001581229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1912894,"threshold_uncertainty_score":0.9985217,"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."}}