{"id":"W2239681109","doi":"","title":"Integrating Information Systems and Healthcare Research to Understand Physicians' use of Health Information Systems: a Literature Review","year":2015,"lang":"en","type":"review","venue":"International Conference on Information Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Health care; Workflow; Psychological intervention; Intervention (counseling); Information system; Knowledge management; Healthcare system; Data science; Computer science; Medicine; Nursing; Political science","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":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01576084,0.000916957,0.003834461,0.003281481,0.0008524098,0.00130157,0.001035394,0.001111948,0.00001234383],"category_scores_gemma":[0.002461749,0.0007576739,0.0002399635,0.002141739,0.0001031194,0.008879036,0.0003351138,0.003363425,0.00108581],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00661549,"about_ca_system_score_gemma":0.008615065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006877135,"about_ca_topic_score_gemma":0.0001059889,"domain_scores_codex":[0.9775693,0.007137921,0.00980485,0.000464022,0.003667732,0.001356204],"domain_scores_gemma":[0.9756003,0.001429226,0.008781831,0.001090237,0.01245433,0.0006440508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005955186,0.00002329919,0.00001281915,0.4374667,0.000188971,9.420562e-7,0.01652571,0.00006842618,3.60454e-8,0.2133579,0.06540825,0.2668875],"study_design_scores_gemma":[0.0003291664,0.0003124971,0.0000018848,0.3515054,0.00002973413,0.00004416937,0.01685959,0.001604235,9.614214e-9,0.00001172095,0.6289714,0.0003301979],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005802484,0.9484313,0.003422242,0.00183168,0.008318353,0.02212434,0.004031716,0.0002284814,0.01160616],"genre_scores_gemma":[0.00145858,0.9862264,0.00007361097,0.001484533,0.0005382749,0.003372922,0.006284217,0.00005433338,0.0005070874],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5635632,"threshold_uncertainty_score":0.9997361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4182275298382597,"score_gpt":0.550735442591277,"score_spread":0.1325079127530173,"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."}}