{"id":"W2120738315","doi":"10.3233/978-1-60750-946-2-101","title":"MET System: a New Approach to m-Health in Emergency Triage","year":2004,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Triage; Medical emergency; Computer science; Medicine","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":[0.001708547,0.0001740998,0.0006672681,0.001288099,0.0001883242,0.00001811334,0.0004670253,0.0001349643,7.264764e-7],"category_scores_gemma":[0.0002992948,0.0001616419,0.00002534085,0.002341486,0.000070738,0.0004579409,0.000459511,0.0003625301,0.0000303041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645177,"about_ca_system_score_gemma":0.0003876851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003248848,"about_ca_topic_score_gemma":0.0004027531,"domain_scores_codex":[0.9975897,0.00008780709,0.001425095,0.0002308199,0.0001518401,0.0005147531],"domain_scores_gemma":[0.998887,0.00006692945,0.0004011338,0.0004553554,0.00006335122,0.0001262458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002235349,0.0002255537,0.003335671,0.005474597,0.00007742475,0.000007373362,0.1049221,0.0003116103,7.07197e-7,0.3994698,0.003748104,0.4824047],"study_design_scores_gemma":[0.02789437,0.007750874,0.01206018,0.01235079,0.00002941362,0.002383713,0.5873445,0.02746077,0.0001255086,0.1997271,0.1188131,0.004059633],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04247348,0.01085554,0.8855079,0.04654366,0.002330913,0.004393601,0.00001472101,0.001063296,0.006816846],"genre_scores_gemma":[0.9114881,0.002649769,0.08406911,0.001481412,0.00003124633,0.0002151927,0.000002054852,0.000008805775,0.00005433165],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8690146,"threshold_uncertainty_score":0.6591567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09697689674067783,"score_gpt":0.3671875227665148,"score_spread":0.270210626025837,"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."}}