{"id":"W2066633049","doi":"10.2196/jmir.1633","title":"Scope of Policy Issues in eHealth: Results From a Structured Literature Review","year":2012,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"World Health Organization","keywords":"eHealth; Scope (computer science); Public relations; Grey literature; Health policy; Health care; Business; MEDLINE; Political science; Computer science; Knowledge management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.06365266,0.0005436112,0.006139089,0.002358063,0.0001098345,0.00002838415,0.003209848,0.002887444,0.003959556],"category_scores_gemma":[0.0439494,0.0003360552,0.0006660077,0.002868892,0.000271161,0.0002117178,0.0007878237,0.02453368,0.0003951087],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699005,"about_ca_system_score_gemma":0.03075475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008984953,"about_ca_topic_score_gemma":0.002759706,"domain_scores_codex":[0.9554849,0.02590125,0.009646497,0.0005612822,0.00617219,0.002233839],"domain_scores_gemma":[0.9774445,0.01274396,0.004788734,0.001091909,0.002012005,0.001918878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001394855,0.0001015771,0.00001525281,0.2156232,0.0001341208,0.0002094483,0.001567028,5.146942e-9,1.389386e-7,0.0002043038,0.2051242,0.5768812],"study_design_scores_gemma":[0.0006338897,0.0002468843,0.00001029052,0.4565533,0.00005762317,0.0001166303,0.00007018902,0.00000131129,2.035254e-7,0.0001005446,0.5421062,0.0001029601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002244344,0.9796405,0.000004193183,0.01377568,0.001854276,0.002727654,0.0002261934,0.00001105421,0.001738037],"genre_scores_gemma":[0.00003089524,0.9858602,0.0001254987,0.0006570629,0.009796727,0.000109602,0.0001362105,0.00009869882,0.003185139],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5767783,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3188907038448519,"score_gpt":0.6535367280650739,"score_spread":0.334646024220222,"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."}}