{"id":"W1964160243","doi":"10.1007/s00125-013-2979-9","title":"Secondary analysis of electronic databases: potentials and limitations","year":2013,"lang":"en","type":"letter","venue":"Diabetologia","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Human physiology; Database; Medicine; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002917835,0.000175925,0.0005420751,0.0008131487,0.0000790988,0.0002587196,0.001113576,0.0001991647,0.0001035699],"category_scores_gemma":[0.00007055465,0.0001429776,0.0001428603,0.001410192,0.0001166458,0.003342355,0.0002951166,0.0004499414,0.00008825036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656431,"about_ca_system_score_gemma":0.0002071478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003732688,"about_ca_topic_score_gemma":0.000003372239,"domain_scores_codex":[0.9982874,0.0001209983,0.0005235002,0.0003683259,0.000316438,0.0003833622],"domain_scores_gemma":[0.9982397,0.0003744357,0.0004478357,0.0007865161,0.0001076742,0.00004382333],"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":[2.330929e-7,0.000008189004,0.001434387,0.00007069365,0.0005654857,0.000004037203,0.0005048297,0.00002281778,0.00003661092,0.005579186,0.9845321,0.007241443],"study_design_scores_gemma":[0.0001267263,0.00008121016,0.01303423,0.00002443765,0.0001750038,0.000005997995,0.0001015823,0.01766989,0.0001879783,0.0007548769,0.967435,0.0004030767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05276443,0.003774868,0.3162228,0.5866637,0.002294742,0.001849371,0.0008184352,0.0007005049,0.03491107],"genre_scores_gemma":[0.1692689,0.0004622655,0.01019868,0.8133653,0.000406891,0.000141583,0.003355018,0.00002320815,0.002778233],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3060242,"threshold_uncertainty_score":0.5830457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277615713554098,"score_gpt":0.2326148230981727,"score_spread":0.1998386659626317,"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."}}