{"id":"W4407410296","doi":"10.2196/63996","title":"A Call for Action: Lessons Learned From a Pilot to Share a Complex, Linked COVID-19 Cohort Dataset for Open Science","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitätsklinikum Heidelberg; Erasmus Medisch Centrum; European Commission; European Molecular Biology Laboratory; McMaster University","keywords":"Data sharing; Timeline; Preparedness; Interoperability; Open data; Data science; Computer science; Open science; World Wide Web; Medicine; Geography; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1725022,0.001181528,0.0007838428,0.001613956,0.006280497,0.01252146,0.008750747,0.007711945,0.00850578],"category_scores_gemma":[0.2681252,0.0008103912,0.001997769,0.00257108,0.007429582,0.02288187,0.01935418,0.01413376,0.002441527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006820395,"about_ca_system_score_gemma":0.03360996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02647572,"about_ca_topic_score_gemma":0.02119421,"domain_scores_codex":[0.9031422,0.07116521,0.00399928,0.004727419,0.01004722,0.006918683],"domain_scores_gemma":[0.7140263,0.1346718,0.00706238,0.05193147,0.04261008,0.04969792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002012639,0.003008689,0.05630573,0.003637955,0.0003033905,0.007621054,0.09740436,0.01016627,0.007515595,0.07931695,0.3795132,0.3531942],"study_design_scores_gemma":[0.0008235419,0.003023129,0.02316178,0.005715047,0.0001971888,0.002875144,0.1473862,0.01649533,0.006706679,0.1307184,0.6621194,0.000778191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1224646,0.001708762,0.09603682,0.749144,0.004733907,0.004068704,0.00418887,0.002660926,0.01499333],"genre_scores_gemma":[0.4200672,0.002113746,0.4801604,0.07119357,0.001682364,0.006063905,0.01042053,0.001964084,0.006334279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9912493,"threshold_uncertainty_score":0.9122895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.615858396022939,"score_gpt":0.5626759194527665,"score_spread":0.0531824765701725,"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."}}