{"id":"W4239714796","doi":"10.2196/preprints.12221","title":"A Mobile App With Optical Imaging for the Self-Management of Hand Rheumatoid Arthritis: Pilot Study (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Preprint; Self-management; Visual analogue scale; Physical therapy; Rheumatoid arthritis; Pain management; mHealth; Telemedicine; Intervention (counseling); Health care; Nursing; Psychological intervention; Computer science; Internal medicine; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005731893,0.0008157153,0.0008036562,0.0007402939,0.001280619,0.001239204,0.0009521419,0.001454507,0.008174701],"category_scores_gemma":[0.008707704,0.0007514965,0.001398684,0.0004355785,0.0007797877,0.00171977,0.0008633737,0.001716362,0.001726278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006584266,"about_ca_system_score_gemma":0.003549976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004059501,"about_ca_topic_score_gemma":0.007410077,"domain_scores_codex":[0.9981095,0.0008083209,0.0002054029,0.0001505117,0.0003188338,0.0004074591],"domain_scores_gemma":[0.9933562,0.003482568,0.0004548915,0.0003722339,0.001300259,0.001033985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03025922,0.6047882,0.07306765,0.0111419,0.0008552626,0.003583709,0.04130899,0.0005268673,0.01537404,0.0006213474,0.01971931,0.1987536],"study_design_scores_gemma":[0.02086858,0.7497745,0.1760473,0.0009177378,0.0008826101,0.0007933592,0.0279689,0.0008402943,0.004902609,0.000244461,0.01661025,0.0001493686],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837817,0.0002065997,0.0004021589,0.0004639171,0.0001480973,0.01281749,0.0006225644,0.00005605535,0.001501337],"genre_scores_gemma":[0.9317387,0.001524362,0.006342889,0.002981269,0.0003259883,0.04948242,0.001094889,0.00003654201,0.006472774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008174701,"threshold_uncertainty_score":0.03031355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665730602603964,"score_gpt":0.2885763187741759,"score_spread":0.2719190127481363,"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."}}