{"id":"W2106287668","doi":"10.1177/009286150103500305","title":"A Survey of Industry Best Practice Metrics in Clinical Data Management and Biostatistics","year":2001,"lang":"en","type":"article","venue":"Drug Information Journal","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Biostatistics; Best practice; Quality (philosophy); Data quality; Data management; Marketing; Process (computing); Product (mathematics); Survey data collection; Quality management; Business; Process management; Operations management; Knowledge management; Computer science; Engineering; Medicine; Data mining; Management system; Economics; Statistics; Metric (unit); Public health; Management","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08835264,0.0004361541,0.0009000002,0.01740596,0.001107856,0.003391109,0.001575553,0.001647059,0.001418756],"category_scores_gemma":[0.3950164,0.0004991881,0.0009743423,0.01564299,0.00116135,0.003662894,0.002698451,0.001926093,0.0003282095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006450486,"about_ca_system_score_gemma":0.009567091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004665076,"about_ca_topic_score_gemma":0.006724814,"domain_scores_codex":[0.9003509,0.03155595,0.0211089,0.003397209,0.04169411,0.001892882],"domain_scores_gemma":[0.3509324,0.3485179,0.09752909,0.01883078,0.1662544,0.01793541],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003254359,0.0004155597,0.5280789,0.001663791,0.0003408,0.0001092071,0.002339786,0.0009451083,0.0009375304,0.002834214,0.01834774,0.443662],"study_design_scores_gemma":[0.0000711852,0.001226831,0.9164802,0.00257297,0.0003475378,0.0011391,0.00441592,0.005338643,0.00199656,0.002311481,0.06397559,0.0001239314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8466635,0.0418331,0.03511542,0.04212327,0.0007743293,0.0009004354,0.006113048,0.001455183,0.02502185],"genre_scores_gemma":[0.9528341,0.008711077,0.02926132,0.002907699,0.0002212595,0.0004327876,0.004367199,0.0002428536,0.001021865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9116474,"threshold_uncertainty_score":0.467259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3804488123228906,"score_gpt":0.5697398675719253,"score_spread":0.1892910552490347,"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."}}