{"id":"W6908388179","doi":"10.25916/sut.26229482","title":"Feasibility of an electronic survey on iPads with in-person data collectors for data collection with health care professionals and health care consumers in general emergency departments","year":2024,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Data collection; Health care; Survey data collection; Survey methodology; Electronic data; Survey research; Descriptive statistics","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005967927,0.0002887451,0.0008368925,0.00209451,0.001378097,0.00000726352,0.00123315,0.0004027531,0.00007503876],"category_scores_gemma":[0.0003218802,0.0002672749,0.00002910694,0.004070948,0.0004637584,0.0003444012,0.0005217835,0.001864941,0.000002057995],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002745182,"about_ca_system_score_gemma":0.01615121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04695261,"about_ca_topic_score_gemma":0.4010995,"domain_scores_codex":[0.9940731,0.001370884,0.0007909648,0.001516493,0.0006595329,0.001589021],"domain_scores_gemma":[0.9959069,0.0005068834,0.0003895238,0.002016011,0.0007603671,0.0004202974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005940257,0.001114928,0.8998693,0.008063909,0.0001535269,0.00002145192,0.008741389,0.0000128765,0.00002858858,0.001846967,0.0479732,0.02623361],"study_design_scores_gemma":[0.01984105,0.01888631,0.7259359,0.004749755,0.00009590825,0.00001444688,0.1740576,0.005512686,0.0001052827,0.0004050803,0.04934459,0.001051284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626328,0.01047495,0.0001810747,0.009931576,0.0001271827,0.01362271,0.002731402,0.0001372047,0.0001610797],"genre_scores_gemma":[0.990113,0.002833412,0.002372758,0.0000800382,0.00002444476,0.0002468099,0.003915258,0.00004730956,0.0003670344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3541469,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1985846132315423,"score_gpt":0.5077917227397652,"score_spread":0.309207109508223,"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."}}