{"id":"W3203357538","doi":"10.2196/29176","title":"An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Computer science; Metadata; Data collection; Standardization; Reuse; Electronic data capture; Data exchange; World Wide Web; Software engineering; Engineering; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05217175,0.001034316,0.0009202847,0.002539146,0.001220957,0.002459346,0.001701537,0.001901489,0.003868639],"category_scores_gemma":[0.05096462,0.0007445436,0.001281057,0.001540517,0.002073942,0.002096782,0.002226716,0.0009134997,0.0007442069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003631786,"about_ca_system_score_gemma":0.006968941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918531,"about_ca_topic_score_gemma":0.002193657,"domain_scores_codex":[0.9623116,0.02579257,0.003300677,0.001856229,0.005432556,0.001306408],"domain_scores_gemma":[0.9269348,0.04090233,0.004159489,0.003117208,0.02118452,0.003701655],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02104614,0.07789358,0.114223,0.03194707,0.00140611,0.003171819,0.02972155,0.0118252,0.0436263,0.009294948,0.01008276,0.6457615],"study_design_scores_gemma":[0.02358952,0.3851944,0.3191625,0.008653312,0.005607736,0.003805105,0.0367335,0.04955964,0.06582456,0.005835123,0.09488409,0.001150554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8825861,0.00112846,0.04559512,0.0004482916,0.00009240621,0.06329972,0.0008363702,0.0003763867,0.005637147],"genre_scores_gemma":[0.7505865,0.001186608,0.1640953,0.0007189141,0.00007104735,0.07938235,0.001425399,0.0002065797,0.002327347],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9478282,"threshold_uncertainty_score":0.2759139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2263415302569697,"score_gpt":0.5669787986557184,"score_spread":0.3406372683987487,"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."}}