{"id":"W2086389561","doi":"10.1097/nur.0b013e3182503f1e","title":"The Use of Smartphones in Hospitals","year":2012,"lang":"en","type":"article","venue":"Clinical Nurse Specialist","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"MEDLINE; Computer science; Medical emergency; Medicine; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009149449,0.0001493095,0.0001734884,0.001224789,0.0006883052,0.00202143,0.0004155821,0.0008886779,0.01814209],"category_scores_gemma":[0.01425602,0.0001526581,0.0002854349,0.00135393,0.0003561981,0.001731746,0.001340316,0.0009112942,0.002506976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009247252,"about_ca_system_score_gemma":0.0009113033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008830478,"about_ca_topic_score_gemma":0.01412947,"domain_scores_codex":[0.9978495,0.0007645703,0.0001983431,0.0002156697,0.0006614893,0.0003105211],"domain_scores_gemma":[0.9895403,0.003722424,0.003055596,0.0003078881,0.001602243,0.001771596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002599576,0.0001373378,0.5084786,0.0009355537,0.0000872407,0.001774319,0.008361971,0.0001951744,0.0008836567,0.002175793,0.09905783,0.3776525],"study_design_scores_gemma":[0.00002098704,0.0003430844,0.8301932,0.002607919,0.000100638,0.00527953,0.0287422,0.0005026367,0.0006184725,0.00114169,0.130352,0.00009775051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7668812,0.04220508,0.001109308,0.06483318,0.001647452,0.00011404,0.004801038,0.000228021,0.1181808],"genre_scores_gemma":[0.9617488,0.02070477,0.0006381029,0.004935013,0.0005602225,0.0000452286,0.0007265547,0.00004059039,0.01060076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814209,"threshold_uncertainty_score":0.06069136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1892965877147076,"score_gpt":0.5271424917978328,"score_spread":0.3378459040831252,"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."}}