{"id":"W7124531553","doi":"10.5281/zenodo.18293372","title":"Health Information Exchange: Engaging Providers in Health Care Innovation","year":2017,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Health information exchange; Health care; Government (linguistics); Stakeholder; HRHIS; Information exchange; Health policy; Health information; Information system","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":[0.06734401,0.0005488555,0.0005158849,0.00317195,0.01389765,0.02371062,0.003268877,0.006352473,0.005473657],"category_scores_gemma":[0.05435548,0.0004982734,0.0006144195,0.006458439,0.01601807,0.0120757,0.01519529,0.004027662,0.0003656338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08550492,"about_ca_system_score_gemma":0.238827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5147058,"about_ca_topic_score_gemma":0.6103482,"domain_scores_codex":[0.92732,0.04380322,0.001804397,0.002297645,0.01707269,0.007701981],"domain_scores_gemma":[0.9216477,0.05285372,0.003669762,0.003887243,0.01203815,0.005903418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001577353,0.0002265962,0.0164705,0.002047335,0.00006724369,0.0007776967,0.3040501,0.0009676575,0.0008097841,0.4374209,0.04947164,0.1875329],"study_design_scores_gemma":[0.00007031061,0.000130403,0.008572586,0.004338289,0.00009655014,0.0003008789,0.230311,0.0008127682,0.00153204,0.03610628,0.717634,0.00009487611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.137773,0.0219532,0.02579831,0.5442936,0.001534709,0.001603033,0.0007333792,0.0002423126,0.2660685],"genre_scores_gemma":[0.9031904,0.01898172,0.02920464,0.02034293,0.0004441916,0.0007337375,0.0004127889,0.0001061195,0.02658355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5147058,"threshold_uncertainty_score":0.9763043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07967468429906047,"score_gpt":0.3358936219271682,"score_spread":0.2562189376281077,"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."}}