{"id":"W3149290894","doi":"10.47912/jscdm.31","title":"Electronic Data Capture-Study Conduct, Maintenance and Closeout","year":2021,"lang":"en","type":"article","venue":"Journal of the Society for Clinical Data Management","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Inflamax Research (Canada)","funders":"","keywords":"Data collection; Electronic data capture; Automatic identification and data capture; Data management; Computer science; Best practice; Database; Operating system","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":[0.1361637,0.0008848959,0.001516946,0.00388561,0.002324448,0.006280887,0.003208874,0.001429021,0.01842789],"category_scores_gemma":[0.1994571,0.001321372,0.001101536,0.004287367,0.00176231,0.003859458,0.003901316,0.002835007,0.01951851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767558,"about_ca_system_score_gemma":0.01592093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904589,"about_ca_topic_score_gemma":0.002215361,"domain_scores_codex":[0.8740206,0.07636111,0.01741339,0.005962866,0.02427293,0.001969139],"domain_scores_gemma":[0.7774876,0.1178127,0.01389986,0.05008222,0.03704751,0.003669939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008764125,0.0004835322,0.009614714,0.003629239,0.0000801856,0.0001930389,0.005002084,0.0005925315,0.004393654,0.01945385,0.1296339,0.8260469],"study_design_scores_gemma":[0.0005519018,0.001311441,0.0281485,0.007483682,0.0001289519,0.0007965293,0.00290329,0.002391135,0.01408576,0.01595512,0.9260489,0.0001949618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03332387,0.009145277,0.5785611,0.02577998,0.0044563,0.1463686,0.02747323,0.01214558,0.162746],"genre_scores_gemma":[0.1039589,0.01367972,0.6202355,0.01046494,0.002435894,0.1712198,0.01796834,0.002493596,0.05754314],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1361637,"threshold_uncertainty_score":0.7201113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7200875333063134,"score_gpt":0.6312750633354082,"score_spread":0.0888124699709052,"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."}}