{"id":"W2606772694","doi":"10.23889/ijpds.v1i1.307","title":"Information Management at a Health Services Research Organization in Toronto, Ontario, Canada: Moving from Identifiable Data to Coded Data","year":2017,"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":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Identifier; Computer science; Population; Confidentiality; Data sharing; Data quality; Data collection; Business; Data science; Internet privacy; Knowledge management; Computer security; Medicine; Environmental health; Service (business)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06075676,0.0008024941,0.0007588562,0.007375049,0.01400155,0.0202625,0.004898709,0.002632391,0.02259044],"category_scores_gemma":[0.1340341,0.001448435,0.0007557123,0.02711295,0.008023512,0.006826606,0.008612302,0.003420675,0.006322205],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1847183,"about_ca_system_score_gemma":0.3842059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9766242,"about_ca_topic_score_gemma":0.9754854,"domain_scores_codex":[0.9245791,0.02289025,0.007947112,0.004919713,0.0338131,0.00585072],"domain_scores_gemma":[0.7353093,0.04688247,0.0142187,0.02737563,0.1472834,0.02893037],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001779842,0.00006745474,0.02880868,0.0008120807,0.00004371379,0.0004752371,0.009010526,0.001155984,0.001800044,0.02505058,0.6847664,0.2478313],"study_design_scores_gemma":[0.00009685092,0.0001111185,0.07314469,0.001522806,0.00004499422,0.0001561458,0.01466109,0.003409957,0.001519313,0.005646631,0.8994981,0.0001883043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05374499,0.01273819,0.0788532,0.6204982,0.005945111,0.009686669,0.03390833,0.006525849,0.1780995],"genre_scores_gemma":[0.3003314,0.03238463,0.3201388,0.08993451,0.003708775,0.006357309,0.05588824,0.004460932,0.1867953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9392433,"threshold_uncertainty_score":0.9456112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3377112444792492,"score_gpt":0.528678948045083,"score_spread":0.1909677035658338,"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."}}