{"id":"W2265748730","doi":"","title":"Canada Health Infoway - Towards a National Interoperable Electronic Health Record (EHR) Solution.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"","keywords":"Interoperability; Software deployment; General partnership; Electronic health record; Health records; Business; Health information exchange; Plan (archaeology); Cross-domain interoperability; Health data; Knowledge management; Semantic interoperability; Process management; Computer science; Health care; World Wide Web; Political science; Health information; Finance; Geography; Software engineering","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":[0.001824267,0.0005675536,0.0002108328,0.001890841,0.005248965,0.005847915,0.001538023,0.003015434,0.0237419],"category_scores_gemma":[0.004133521,0.0004882537,0.0005942284,0.003114982,0.001480387,0.002201689,0.001915548,0.001627301,0.005896899],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07517448,"about_ca_system_score_gemma":0.1706574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9723265,"about_ca_topic_score_gemma":0.9854725,"domain_scores_codex":[0.9964748,0.0002164499,0.0001003899,0.0002272342,0.002480327,0.000500762],"domain_scores_gemma":[0.9966355,0.0001834751,0.0001029178,0.00009406931,0.002157832,0.0008262512],"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":[0.00002543995,0.00002579369,0.001449127,0.0001937233,0.00000732178,0.0001321038,0.0005869413,0.0002658252,0.0006700156,0.02971002,0.8588696,0.108064],"study_design_scores_gemma":[0.000008541263,0.000006725606,0.002392073,0.00009798562,0.000005301252,0.00004922396,0.0003222503,0.0003568204,0.0003127238,0.001187989,0.9952433,0.00001703657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01512335,0.03468445,0.03773065,0.2599336,0.004319756,0.0009821297,0.02124027,0.007948855,0.618037],"genre_scores_gemma":[0.05506153,0.02246869,0.08535996,0.03526757,0.0004346895,0.0002727662,0.01713554,0.0007483741,0.7832509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9248255,"threshold_uncertainty_score":0.5454316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05903477087624828,"score_gpt":0.3638782268016616,"score_spread":0.3048434559254133,"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."}}