{"id":"W6886023238","doi":"10.14288/1.0398457","title":"Prospective data linkage to facilitate COVID-19 trials : A call to action","year":2021,"lang":"en","type":"article","venue":"Open Collections","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bespoke; Observational study; Record linkage; Clinical trial; Linkage (software); Data collection; Medical record; Call to action; Health care; Cohort","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7279982,0.005408472,0.0138202,0.01480851,0.008482444,0.04590425,0.03003767,0.06317304,0.0385263],"category_scores_gemma":[0.7839445,0.005474857,0.01473833,0.01867917,0.02545834,0.08561619,0.04769111,0.08320229,0.02380566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0151243,"about_ca_system_score_gemma":0.09008253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051866,"about_ca_topic_score_gemma":0.008169007,"domain_scores_codex":[0.2713752,0.5950493,0.04865214,0.01320544,0.0625926,0.009125379],"domain_scores_gemma":[0.05823167,0.7214857,0.03211116,0.07725894,0.07336737,0.03754507],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001440685,0.0005218561,0.004374703,0.004601768,0.0007659585,0.0004393564,0.00405816,0.001229206,0.0003423258,0.03833482,0.7416375,0.2022536],"study_design_scores_gemma":[0.001998836,0.001074112,0.004229476,0.02451758,0.0004470641,0.0007399878,0.004038651,0.003780012,0.0004683977,0.1261304,0.8317325,0.0008429055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006458408,0.01211533,0.03430679,0.9307789,0.01371743,0.001824386,0.001284853,0.001821541,0.003504872],"genre_scores_gemma":[0.01173449,0.01694162,0.3773208,0.5428226,0.03123688,0.009458879,0.005970029,0.001717496,0.00279714],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2720018,"threshold_uncertainty_score":0.3354267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8115006908315471,"score_gpt":0.5764589460544908,"score_spread":0.2350417447770563,"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."}}