{"id":"W2913263577","doi":"10.2196/12561","title":"Medication Adherence Prediction Through Online Social Forums: A Case Study of Fibromyalgia","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Computer science; Random forest; Artificial intelligence; Big data; Transfer of learning; Fibromyalgia; Pharmacy; Medical prescription; Medical record; Scalability; Data science; Medicine; Family medicine; Data mining; Nursing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003582871,0.000172597,0.0004417754,0.00008934495,0.00008109001,0.00001044651,0.0002287018,0.0002507714,0.003018495],"category_scores_gemma":[0.0001573016,0.0001379595,0.00007817047,0.0004002198,0.0001512526,0.000320687,0.0000883937,0.000482665,0.0004678496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005768207,"about_ca_system_score_gemma":0.000417689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009360925,"about_ca_topic_score_gemma":0.000007389705,"domain_scores_codex":[0.996832,0.00004894975,0.00116982,0.0001562935,0.001532976,0.000259925],"domain_scores_gemma":[0.9984853,0.00008981571,0.0004895816,0.0004368934,0.0002430954,0.0002553226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001251583,0.02267218,0.2399891,0.02061538,0.001284937,0.001241952,0.3357883,0.00001618377,0.0006167619,0.00282179,0.2033201,0.1703817],"study_design_scores_gemma":[0.03594114,0.0162461,0.1014461,0.005321227,0.000655462,0.009573811,0.7190874,0.08883751,0.00036478,0.0006471975,0.02079822,0.001081047],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936557,0.00002975633,0.001247941,0.000597453,0.0002738126,0.001453398,0.00002071751,0.0001029881,0.002618179],"genre_scores_gemma":[0.9971135,0.00003478557,0.001171913,0.0005929051,0.0001268268,0.0001261375,0.0001351936,0.00001306531,0.0006857357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3832991,"threshold_uncertainty_score":0.9978929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05093811549338431,"score_gpt":0.3701887345469517,"score_spread":0.3192506190535673,"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."}}