{"id":"W4402405615","doi":"10.23889/ijpds.v9i5.2823","title":"A game of snakes and ladders: the world of complex health and social care data linkage","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Linkage (software); Data science; Computer science; Genetics; Biology; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1542718,0.001790842,0.002179257,0.006421674,0.02492995,0.03848113,0.007238209,0.01243016,0.01388649],"category_scores_gemma":[0.1916207,0.003141235,0.002911926,0.006916473,0.06947226,0.07185249,0.03467814,0.01739497,0.003151429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01186983,"about_ca_system_score_gemma":0.01739886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561745,"about_ca_topic_score_gemma":0.01335785,"domain_scores_codex":[0.8242758,0.1461124,0.003412247,0.01054537,0.01197675,0.0036774],"domain_scores_gemma":[0.7441443,0.196326,0.007159185,0.0318852,0.01013805,0.01034733],"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":[0.0002339208,0.0001358274,0.006367555,0.0008068879,0.0002160778,0.001068661,0.04536343,0.004633342,0.000482216,0.7807708,0.08297698,0.07694438],"study_design_scores_gemma":[0.00007148656,0.00007212616,0.0009011275,0.001016862,0.00002567368,0.0004461434,0.02112678,0.004724251,0.0001838646,0.7761942,0.1951138,0.0001237476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02426524,0.009043373,0.2681479,0.6379128,0.002675404,0.0008220483,0.00142499,0.0008549189,0.05485342],"genre_scores_gemma":[0.4412518,0.00846572,0.4416237,0.08247225,0.00247209,0.00342033,0.001530135,0.001689714,0.01707429],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8457282,"threshold_uncertainty_score":0.8158772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2465920220017384,"score_gpt":0.5016177145755112,"score_spread":0.2550256925737728,"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."}}