{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002965303,0.0001202586,0.0004053643,0.00005003659,0.0005869775,0.000006585098,0.000237861,0.0002781272,0.000398511],"category_scores_gemma":[0.003280123,0.00008314318,0.0001159514,0.0003148847,0.0003910333,0.0001445535,0.00005596174,0.0007774446,0.0007175641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008516027,"about_ca_system_score_gemma":0.000376447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005233268,"about_ca_topic_score_gemma":0.001329138,"domain_scores_codex":[0.9958012,0.0009283521,0.002024572,0.0002107373,0.0001962861,0.0008388757],"domain_scores_gemma":[0.9916933,0.006435472,0.0005480556,0.0006726738,0.0001476645,0.0005028672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001018654,0.0002393316,0.7294016,0.0000561287,0.000004267587,3.123696e-7,0.0002531149,3.601416e-7,0.000001804112,0.06464325,0.158443,0.04685495],"study_design_scores_gemma":[0.0003564814,0.00002475647,0.4663411,0.00004014881,0.000004966413,1.297322e-7,0.000228653,0.000004598514,9.258034e-7,0.0003686454,0.5325871,0.00004252122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180446,0.00181476,0.0001163774,0.02576502,0.01667256,0.006880192,0.0001339738,0.0001180286,0.03045453],"genre_scores_gemma":[0.9602408,0.005463636,0.001474602,0.009342779,0.009537646,0.004324874,0.00005600376,0.00006734764,0.009492327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3741441,"threshold_uncertainty_score":0.9223074,"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."}}