{"id":"W2498073944","doi":"10.4018/978-1-59140-884-0.ch008","title":"Mobile E-Health","year":2007,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Health care; Nursing; Interoperability; Usability; Medicine; Business; Ambulatory care; Medical record; Medical emergency; Political science; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094411,0.0008008028,0.0003709384,0.00133232,0.0006974044,0.002878719,0.0008552175,0.002078976,0.1286423],"category_scores_gemma":[0.0005377467,0.0002813538,0.0003886779,0.001859892,0.0004358131,0.003821266,0.001648101,0.00114263,0.07310838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006071011,"about_ca_system_score_gemma":0.0003684757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006920825,"about_ca_topic_score_gemma":0.001399342,"domain_scores_codex":[0.999813,0.00003018438,0.000008797584,0.00004035412,0.00008023837,0.00002738142],"domain_scores_gemma":[0.9998243,0.0000778392,0.000007775229,0.00002600034,0.00004118422,0.00002281241],"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":[0.00002358633,0.00006280602,0.0001714786,0.0006625233,0.000007690015,0.0001806962,0.0005777035,0.0002612165,0.002523759,0.07042876,0.4289384,0.4961614],"study_design_scores_gemma":[0.000002033152,0.00001101468,0.0001822545,0.0001897517,0.000002152451,0.0002483304,0.00007913603,0.0001094952,0.0001909037,0.003325942,0.9956543,0.000004483339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001458337,0.02849489,0.01083993,0.002343934,0.001332971,0.000105669,0.0005219727,0.000872165,0.9540301],"genre_scores_gemma":[0.00704767,0.02139458,0.005559085,0.00211177,0.000631233,0.00006142331,0.0005512499,0.0001829904,0.96246],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1286423,"threshold_uncertainty_score":0.4303513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06845801614383504,"score_gpt":0.430310415923871,"score_spread":0.361852399780036,"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."}}