{"id":"W2093464738","doi":"10.1503/cmaj.109-3717","title":"Canada's ehealth software \"Tower of Babel\"","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Purchasing; Software; Tower; Computer science; Ivory tower; World Wide Web; Data science; Business; Political science; Marketing; Health care; History; Law; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002026124,0.0005685139,0.0003113206,0.001533518,0.003447129,0.004240695,0.0008235787,0.001714519,0.09377009],"category_scores_gemma":[0.008918533,0.0003345416,0.0006114041,0.00168753,0.001523091,0.001274243,0.001365239,0.002206377,0.01823612],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01426599,"about_ca_system_score_gemma":0.06159743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.896856,"about_ca_topic_score_gemma":0.9506833,"domain_scores_codex":[0.9980214,0.0001213746,0.00004296883,0.0001018237,0.001487094,0.000225458],"domain_scores_gemma":[0.9922764,0.001079761,0.0001612148,0.000310401,0.00392015,0.002252027],"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":[0.00004788008,0.00001435857,0.0008821777,0.00007314702,0.000005631699,0.0000485384,0.00008604618,0.00004887102,0.0001997263,0.004535898,0.9373385,0.0567193],"study_design_scores_gemma":[0.00004854879,0.00002878533,0.005517873,0.0001209625,0.0000146246,0.00008911733,0.0001131612,0.0002503812,0.0002488415,0.0007681479,0.9927709,0.00002877216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01074612,0.01259831,0.01030498,0.2961849,0.007843955,0.0004726096,0.02737218,0.01467033,0.6198066],"genre_scores_gemma":[0.0538023,0.01243095,0.02091038,0.05171701,0.0009860751,0.0001855631,0.01181857,0.0018075,0.8463416],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.985734,"threshold_uncertainty_score":0.3136922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07616652764703333,"score_gpt":0.342869408246008,"score_spread":0.2667028805989746,"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."}}