{"id":"W2900457256","doi":"","title":"Accessing Health and Health-Related Data in Canada: The Expert Panel on Timely Access to Health and Social Data for Health Research and Health System Innovation","year":2015,"lang":"en","type":"article","venue":"Edinburgh Research Explorer","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway; University of Toronto; University of Calgary; McGill University; University of Ottawa; University of Manitoba; Canarie","funders":"Canadian Institutes of Health Research; Government of Canada; Institute for Clinical Evaluative Sciences","keywords":"Health data; Social determinants of health; Business; Health equity; HRHIS; Data access; Health policy; Environmental health; Public health; Data science; Health care; Computer science; Medicine; Economic growth; Database; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.2088783,0.001340175,0.002244638,0.009483675,0.01492284,0.01679368,0.01240698,0.01451806,0.005418678],"category_scores_gemma":[0.2508395,0.002097097,0.002316471,0.01620167,0.009381699,0.006893104,0.01217163,0.01151333,0.0009092842],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.184227,"about_ca_system_score_gemma":0.6782908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852502,"about_ca_topic_score_gemma":0.9926847,"domain_scores_codex":[0.8233503,0.03179196,0.0237261,0.008753787,0.08755545,0.02482245],"domain_scores_gemma":[0.4558248,0.1904532,0.02036962,0.01589409,0.2616614,0.05579688],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001933039,0.00009508333,0.02737552,0.008659142,0.0002881065,0.0005465295,0.01405304,0.001273854,0.001372117,0.01812394,0.8135392,0.1144802],"study_design_scores_gemma":[0.0001170625,0.00005405759,0.0849108,0.02512534,0.0002562171,0.0002073825,0.01451476,0.001002306,0.0009443528,0.004294439,0.8681855,0.0003877435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01542662,0.07267697,0.003132519,0.8418595,0.004666235,0.002052049,0.00962016,0.0002121881,0.05035385],"genre_scores_gemma":[0.3222799,0.140877,0.0409365,0.4259667,0.004457313,0.003890856,0.01789257,0.0005577281,0.04314158],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.815773,"threshold_uncertainty_score":0.9755939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8845734847467006,"score_gpt":0.6454966061475407,"score_spread":0.2390768785991599,"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."}}