{"id":"W4391810221","doi":"10.2196/46979","title":"Co-Design, Development, and Evaluation of a Mobile Solution to Improve Medication Adherence in Cancer: Design Science Research Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Design science research; Medication adherence; Research design; Cancer; Cancer treatment; Computer science; Medicine; Engineering; Sociology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.005536012,0.00009907849,0.0001764514,0.0004515796,0.0000971461,0.00003201971,0.0001694632,0.00006774233,0.0003422394],"category_scores_gemma":[0.0001892907,0.0000857657,0.00001278966,0.001537355,0.000307317,0.0001838396,0.00003331586,0.0002285136,0.00005975967],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008122096,"about_ca_system_score_gemma":0.00588571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002871521,"about_ca_topic_score_gemma":0.00002241025,"domain_scores_codex":[0.9972305,0.0001613889,0.0003264253,0.000511672,0.001473752,0.0002962736],"domain_scores_gemma":[0.998798,0.00009730609,0.00006680669,0.0002355097,0.0006333723,0.0001689748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001539339,0.0001549269,0.00152394,0.0005359789,0.00002074742,0.000001417027,0.005679658,0.000312785,0.2797271,0.0001299922,0.007115864,0.7046437],"study_design_scores_gemma":[0.003105211,0.001310534,0.09426748,0.005337076,0.0001079384,0.00001588722,0.002651084,0.3808345,0.4965453,0.0008451291,0.0144359,0.0005439001],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526495,0.01745139,0.1110283,0.002015897,0.0005770573,0.01195721,0.00001375244,0.0001174029,0.004189462],"genre_scores_gemma":[0.9803122,0.0003745703,0.006268997,0.0000927507,0.00007968595,0.01216398,0.000005708448,0.00001094733,0.000691112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7040998,"threshold_uncertainty_score":0.99975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3499749179598399,"score_gpt":0.5276381691343174,"score_spread":0.1776632511744775,"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."}}