{"id":"W2067363729","doi":"10.12927/hcpol.2011.22131","title":"Beyond Administrative Data: A Vision for Health Information Systems for Canada","year":2011,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Research Manitoba; Canadian Institute for Health Information; Manitoba Health","funders":"","keywords":"Health care; Knowledge translation; Sociology; Political science; Library science; Public relations; Knowledge management; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.09066097,0.001504325,0.001868721,0.01058943,0.00812215,0.02637437,0.009101162,0.007566524,0.01634106],"category_scores_gemma":[0.1743907,0.001844046,0.001575286,0.02112925,0.01629228,0.02223908,0.009881838,0.01102328,0.004796182],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07836863,"about_ca_system_score_gemma":0.3751098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8846933,"about_ca_topic_score_gemma":0.8466617,"domain_scores_codex":[0.9566971,0.01646019,0.004262238,0.001582353,0.01852812,0.002469953],"domain_scores_gemma":[0.7030444,0.07266911,0.006751247,0.02913594,0.160554,0.02784534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004070143,0.00004270952,0.0009033749,0.0009693823,0.00004998461,0.000104605,0.001896296,0.0008835882,0.000343099,0.1490743,0.6388669,0.2068251],"study_design_scores_gemma":[0.00001785889,0.0000234993,0.00243789,0.002433525,0.00003472366,0.0000474646,0.002200273,0.00103905,0.0002371977,0.05464496,0.9368026,0.00008096562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0009309243,0.03242052,0.04797583,0.8465585,0.009771707,0.0006988823,0.007580558,0.001767287,0.05229586],"genre_scores_gemma":[0.08743951,0.1617528,0.4580032,0.1349786,0.01051495,0.002530221,0.02032537,0.002644347,0.121811],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9216314,"threshold_uncertainty_score":0.5686069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2115984769036058,"score_gpt":0.5171999081603246,"score_spread":0.3056014312567188,"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."}}