{"id":"W2156965754","doi":"10.4338/aci-2012-10-cr-0041","title":"Developing a Tool to Assess the Quality of Socio-Demographic Data in Community Health Centres","year":2013,"lang":"en","type":"article","venue":"Applied Clinical Informatics","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quality (philosophy); Community health; Data quality; Scale (ratio); Computer science; Test (biology); Medicine; Knowledge management; Data science; Nursing; Public health; Metric (unit); Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1422618,0.001423415,0.001925764,0.02213537,0.002436189,0.008056941,0.005051857,0.001668383,0.002870802],"category_scores_gemma":[0.2855006,0.00113724,0.002095845,0.01251478,0.001881552,0.007953533,0.009139921,0.00207321,0.000836653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009974968,"about_ca_system_score_gemma":0.027279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215529,"about_ca_topic_score_gemma":0.01317849,"domain_scores_codex":[0.8638276,0.07530977,0.0216554,0.004975805,0.03064337,0.003588076],"domain_scores_gemma":[0.6161116,0.2364272,0.04184966,0.01552704,0.08015834,0.009926122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006323815,0.001578463,0.2413521,0.006579595,0.0005926822,0.0006698902,0.02885342,0.004965751,0.003285234,0.003837015,0.02579036,0.6818632],"study_design_scores_gemma":[0.001727702,0.006241317,0.6047689,0.01477711,0.001063053,0.001919538,0.104589,0.08330658,0.01755345,0.01944615,0.142969,0.001638086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5144351,0.002054251,0.3782049,0.01201994,0.000878329,0.03860743,0.01066261,0.0114371,0.03170056],"genre_scores_gemma":[0.3878297,0.0006349753,0.5943552,0.0007450871,0.0001004985,0.01109373,0.004094928,0.0002045738,0.0009412112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1422618,"threshold_uncertainty_score":0.7523615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6774011052767211,"score_gpt":0.5819635008242714,"score_spread":0.09543760445244975,"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."}}