{"id":"W7096607418","doi":"","title":"R.: Designing man-machine interactions for mobile clinical systems: MET triage support using Palm handhelds","year":2014,"lang":"en","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Emergency department; Work (physics); Complaint; Mobile device; Decision support system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002649369,0.0001799076,0.0003751942,0.0001818361,0.0003994705,0.0003979117,0.00109501,0.00008898806,0.00004218638],"category_scores_gemma":[0.0004292259,0.000157715,0.0001493412,0.0002114527,0.00005902459,0.0005451848,0.0004340736,0.0002625186,0.0000398746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000667077,"about_ca_system_score_gemma":0.0001170471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491371,"about_ca_topic_score_gemma":0.00001791819,"domain_scores_codex":[0.9979684,0.0005021802,0.0007052721,0.0002920932,0.000193745,0.0003383451],"domain_scores_gemma":[0.9958581,0.002763582,0.0002028809,0.0008959134,0.0001860717,0.0000934196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000416105,0.0023831,0.04821355,0.001864136,0.001899961,0.00006846427,0.02241514,0.0367411,0.006411805,0.5850298,0.1375868,0.15697],"study_design_scores_gemma":[0.001326758,0.0006377527,0.0002717262,0.0001919463,0.00004650939,0.00009457973,0.0006477273,0.8836824,0.002366238,0.001057286,0.1091595,0.0005175496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009552592,0.0000436371,0.9829905,0.0001204713,0.002551558,0.0004724802,0.000003945707,0.0003223024,0.003942509],"genre_scores_gemma":[0.5707107,0.00000765672,0.4267288,0.000383446,0.0002001744,0.0001120735,0.000009667321,0.00001950658,0.001827967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8469414,"threshold_uncertainty_score":0.6431429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134927742705155,"score_gpt":0.3977043602258723,"score_spread":0.2627766175207173,"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."}}