{"id":"W7062110010","doi":"","title":"The state of health information technology standards: the conflation of the technical and the political in the development of a pan-Canadian electronic health record system","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Politics; Conflation; Electronic health record; State (computer science); Health information technology; Information technology; Health records; Convergence (economics)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0551333,0.0003891538,0.0003383266,0.004010485,0.02260893,0.02740109,0.001901441,0.003021926,0.003047773],"category_scores_gemma":[0.05540974,0.0005933599,0.0004139805,0.00669165,0.03375859,0.01228197,0.009913351,0.005112078,0.0002713509],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09523662,"about_ca_system_score_gemma":0.1827301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7589798,"about_ca_topic_score_gemma":0.7859111,"domain_scores_codex":[0.9363626,0.02952263,0.001717985,0.00266292,0.02411005,0.005623907],"domain_scores_gemma":[0.9605507,0.0203938,0.00220722,0.00262387,0.011484,0.002740428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003856437,0.00003662284,0.006056473,0.0001835786,0.00002319442,0.0002610089,0.1519007,0.0009529154,0.0007250939,0.7499673,0.005525947,0.0843287],"study_design_scores_gemma":[0.00003209918,0.0001060645,0.03391653,0.001766224,0.00008346214,0.0003654949,0.3597511,0.005531338,0.002151232,0.167205,0.4288936,0.0001977801],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2095628,0.007755956,0.03808707,0.2579445,0.0004058942,0.0002678617,0.0001475116,0.000130387,0.485698],"genre_scores_gemma":[0.9746651,0.00236972,0.009169413,0.002799364,0.00005827732,0.00008251372,0.00004884172,0.00004377167,0.01076305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9773911,"threshold_uncertainty_score":0.6909933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005115375641425546,"score_gpt":0.2288070547012991,"score_spread":0.2236916790598736,"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."}}