{"id":"W2791628292","doi":"10.2196/mhealth.9437","title":"More Stamina, a Gamified mHealth Solution for Persons with Multiple Sclerosis: Research Through Design","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"mHealth; Telemedicine; Computer science; Quality of life (healthcare); Limiting; Health care; Psychology; Applied psychology; Multimedia; Medicine; Nursing; Engineering; Psychological intervention","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003579666,0.000380307,0.0007828957,0.0003961318,0.002414588,0.00006778887,0.0002010037,0.0002314803,0.00002875072],"category_scores_gemma":[0.0008508443,0.000289209,0.00008323841,0.0008750508,0.001368053,0.0002407698,0.0001286029,0.0008417446,0.00002849683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006927719,"about_ca_system_score_gemma":0.002143018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719279,"about_ca_topic_score_gemma":0.0008123615,"domain_scores_codex":[0.9941625,0.0005742373,0.0006201373,0.001062906,0.001223388,0.002356842],"domain_scores_gemma":[0.9955537,0.00113572,0.000215182,0.0006825412,0.001200244,0.001212582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.06692624,0.004845826,0.0724329,0.03558975,0.0006395559,0.00004335266,0.145847,0.000009852431,0.009870962,0.001560389,0.403744,0.2584901],"study_design_scores_gemma":[0.02373191,0.03181021,0.8668711,0.002575788,0.0002417814,0.0000811171,0.01608938,0.02959745,0.001139447,0.0002562744,0.02680012,0.00080545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086524,0.004053333,0.03045288,0.04177872,0.0002579591,0.01346316,0.0002694909,0.000370105,0.0007019477],"genre_scores_gemma":[0.9574379,0.004301138,0.03303192,0.001741245,0.0009664902,0.001854463,0.00005878627,0.00009238628,0.0005157074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7944382,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4087880884311771,"score_gpt":0.481562193814593,"score_spread":0.07277410538341594,"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."}}