{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01329736,0.0001375342,0.0004933118,0.000230527,0.002244192,0.006101378,0.002298357,0.00005431616,0.005451903],"category_scores_gemma":[0.07001176,0.0001181105,0.00008258509,0.005197536,0.00003102507,0.001011902,0.004075842,0.0001341843,0.001403381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223822,"about_ca_system_score_gemma":0.0009307624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01455902,"about_ca_topic_score_gemma":0.08050583,"domain_scores_codex":[0.9954019,0.00141096,0.0008422557,0.001223561,0.0008603371,0.0002609543],"domain_scores_gemma":[0.9939266,0.002571295,0.0001622738,0.002386732,0.0004213572,0.0005317673],"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":[0.0001263809,0.0001446131,0.00001818642,0.00000428562,0.00005545134,0.00001511595,0.001014963,0.0004558625,0.00009740205,0.0004329964,0.9909145,0.006720246],"study_design_scores_gemma":[0.0005964182,0.0001042211,0.0003067536,0.000007807284,0.00003382083,0.000006756796,0.004492381,0.0001405746,0.0001852849,0.009036586,0.9849272,0.0001621698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0003253139,0.00002609455,0.5239893,0.06228127,0.002095246,0.005380677,0.009003294,0.000121812,0.396777],"genre_scores_gemma":[0.002615125,0.00001849933,0.01066929,0.008785522,0.0001242278,0.0005525889,0.0002283088,0.00001040675,0.9769961],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.580219,"threshold_uncertainty_score":0.9993742,"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."}}