{"id":"W2001598998","doi":"10.2196/mhealth.3293","title":"An Effective Support System of Emergency Medical Services With Tablet Computers","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Ministry of Internal Affairs and Communications","keywords":"Medical emergency; Emergency medical services; Government (linguistics); Service (business); Information system; Business; Operations management; Medicine; Engineering; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006244352,0.0001884802,0.0005907927,0.0001049127,0.0001142797,0.000003466974,0.00009106629,0.0001070329,0.00003597692],"category_scores_gemma":[0.00001054367,0.000130482,0.00003676476,0.0002503995,0.00007252402,0.0000901859,0.00002864168,0.0001986281,0.000007140804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008713094,"about_ca_system_score_gemma":0.0005356389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296327,"about_ca_topic_score_gemma":0.0004660683,"domain_scores_codex":[0.9980501,0.0001140423,0.0004686189,0.0003253809,0.0006032739,0.0004385751],"domain_scores_gemma":[0.997941,0.00002713229,0.0001751797,0.0002486385,0.0002699248,0.00133811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003785157,0.001032239,0.8163332,0.05285628,0.0003060056,0.0002065514,0.02612367,0.00001129728,0.00002519108,0.002365842,0.01822303,0.07873154],"study_design_scores_gemma":[0.005436591,0.01160773,0.9589124,0.000910458,0.0002950729,0.000310032,0.01480147,0.001076582,0.00002660519,0.00002993507,0.006289678,0.0003034922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992097,0.001383294,0.0001702896,0.001105249,0.0007319189,0.0007738751,0.00002368088,0.0001125503,0.003602203],"genre_scores_gemma":[0.9983084,0.0004404683,0.00031438,0.0004594438,0.0003172727,0.0000615246,0.00004869203,0.00002079908,0.00002900282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1425792,"threshold_uncertainty_score":0.5320904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811721035708084,"score_gpt":0.3817059993613025,"score_spread":0.3435887890042216,"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."}}