{"id":"W4402405604","doi":"10.23889/ijpds.v9i5.2820","title":"Expanding data resources beyond “health care”: exploring options and implications","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Data science; Business; Computer science; Risk analysis (engineering); Economics; Economic growth","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":[0.1900184,0.0009156404,0.001032512,0.006678095,0.01735518,0.03179478,0.01062968,0.009234068,0.01573604],"category_scores_gemma":[0.2078677,0.001003854,0.001527905,0.01519589,0.04701117,0.05428781,0.02650726,0.01180622,0.001026521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0382345,"about_ca_system_score_gemma":0.1019068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.139282,"about_ca_topic_score_gemma":0.1645328,"domain_scores_codex":[0.8508302,0.1169601,0.00364885,0.004789248,0.01186037,0.01191127],"domain_scores_gemma":[0.555204,0.3788231,0.005123116,0.01383022,0.03085187,0.01616777],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006498896,0.00007159436,0.006870309,0.0008276008,0.00002770946,0.0007509349,0.02196015,0.001291422,0.0001532186,0.866625,0.03022464,0.07113235],"study_design_scores_gemma":[0.00006029892,0.00006060736,0.004657598,0.00840245,0.0000458971,0.0006598128,0.1339927,0.001950021,0.0004585596,0.4800001,0.3695916,0.0001203675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02445949,0.01540255,0.01746821,0.8416498,0.0007038368,0.0003620418,0.0006413606,0.00008661136,0.09922601],"genre_scores_gemma":[0.7749995,0.03241678,0.06362125,0.1125749,0.001553222,0.001642663,0.0008104952,0.0003286497,0.01205257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8099816,"threshold_uncertainty_score":0.9988516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5693426971422808,"score_gpt":0.5715981845222683,"score_spread":0.002255487379987486,"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."}}