{"id":"W3135810098","doi":"10.21203/rs.3.rs-266018/v1","title":"Development, implementation and real-life use assessment of HIBOOT: a smartphone application for safety, self-assessment and medication adherence for patients with inflammatory arthritis. A user-centred step-by-step approach.","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Biogen; Nordic Pharma Group; Eli Lilly and Company","keywords":"Computer science; Inflammatory arthritis; Medicine; Arthritis; Human–computer interaction; Process management; Engineering; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009743306,0.0005821064,0.000447049,0.000728856,0.0005530572,0.0009040715,0.0007812388,0.0006133266,0.001886175],"category_scores_gemma":[0.01112964,0.0004099254,0.0007844155,0.0002279583,0.0004718623,0.0008517685,0.001570759,0.0006474736,0.0005781229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006439599,"about_ca_system_score_gemma":0.002313077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015398,"about_ca_topic_score_gemma":0.002244045,"domain_scores_codex":[0.9964893,0.002085826,0.0003356595,0.0002205886,0.000600578,0.0002680284],"domain_scores_gemma":[0.9916648,0.004820281,0.0005592962,0.0005402993,0.001736047,0.0006793531],"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":[0.001614031,0.01154717,0.07017615,0.005173572,0.0002759662,0.001068339,0.03750664,0.001433531,0.04101342,0.0003923498,0.005975087,0.8238237],"study_design_scores_gemma":[0.00371211,0.1133515,0.6302589,0.005795558,0.00194209,0.003847132,0.05669675,0.01728457,0.07935712,0.001510218,0.08545811,0.0007859755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652599,0.0003656618,0.01670419,0.0004174071,0.00006426594,0.01351517,0.0005790246,0.000634699,0.00245968],"genre_scores_gemma":[0.7595651,0.0006963008,0.2146902,0.0004684873,0.00004566289,0.01935637,0.0008926787,0.0001474186,0.004137793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009743306,"threshold_uncertainty_score":0.05152816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075548350050995,"score_gpt":0.3862629654709478,"score_spread":0.3455074819704379,"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."}}