{"id":"W3151024934","doi":"10.47912/jscdm.30","title":"Electronic Data Capture-Study Implementation and Start-up","year":2020,"lang":"en","type":"article","venue":"Journal of the Society for Clinical Data Management","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inflamax Research (Canada)","funders":"","keywords":"Workflow; Electronic data capture; Data collection; Computer science; Data management; Data flow diagram; Data exchange; Work flow; Data science; Database; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01345619,0.0001585018,0.0004993331,0.00001637508,0.0006034063,0.00003020218,0.002555886,0.0001117325,0.0000501442],"category_scores_gemma":[0.0006036613,0.000103789,0.00029506,0.0001965701,0.00005135312,0.0004676426,0.002939269,0.001349013,0.000009920411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400068,"about_ca_system_score_gemma":0.000642321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009922219,"about_ca_topic_score_gemma":0.0003098737,"domain_scores_codex":[0.9952675,0.0009190803,0.002155016,0.0005042879,0.0005135798,0.000640585],"domain_scores_gemma":[0.9954733,0.000993642,0.0015568,0.001596099,0.0001441086,0.0002361087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001890107,0.000150342,0.03005951,0.0006269362,0.00141415,0.000001298938,0.002003134,0.000001546707,0.000001266963,0.000468378,0.9550807,0.01000374],"study_design_scores_gemma":[0.006230049,0.001015903,0.01156532,0.00009639223,0.001009963,0.000002004224,0.0458472,0.001872535,1.807416e-7,0.0004037098,0.9318134,0.0001434007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4604185,0.01242555,0.04670337,0.4161665,0.01904385,0.03920258,0.00510054,0.000207186,0.0007320097],"genre_scores_gemma":[0.9342426,0.01202609,0.005362939,0.04068556,0.005249938,0.00008117337,0.00073552,0.000118551,0.001497628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4738241,"threshold_uncertainty_score":0.5860863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.489450069226118,"score_gpt":0.6022800316091927,"score_spread":0.1128299623830747,"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."}}