{"id":"W4388102564","doi":"10.12688/hrbopenres.13514.2","title":"The impact of telemedicine enabled pre-hospital triage in acute stroke – a protocol for a mixed methods systematic review","year":2023,"lang":"en","type":"preprint","venue":"HRB Open Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Health Research Board","keywords":"Triage; Psychological intervention; Telemedicine; Medicine; Workflow; Intervention (counseling); Protocol (science); Qualitative research; Health care; Medical emergency; Nursing; Computer science; Alternative 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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04409866,0.0005478141,0.003432733,0.0006615265,0.0001580191,0.0002098108,0.003155737,0.0003222546,0.0001441553],"category_scores_gemma":[0.01792422,0.000300286,0.0007709253,0.001159676,0.0002717295,0.00008724254,0.007144082,0.002030531,0.00002973425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006573,"about_ca_system_score_gemma":0.001784236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405067,"about_ca_topic_score_gemma":0.00003997731,"domain_scores_codex":[0.9900204,0.003037215,0.002576515,0.001143707,0.001956554,0.001265596],"domain_scores_gemma":[0.9896362,0.004660618,0.0009742616,0.003234124,0.001213645,0.0002810858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.003111432,0.0004978921,0.0002504733,0.6101885,0.003821085,0.0001464127,0.0003902049,0.000006038011,0.0007475813,0.00006494694,0.3793108,0.001464636],"study_design_scores_gemma":[0.02892489,0.009706676,0.003893893,0.9279715,0.003411593,0.00004208583,0.002281481,0.004856918,0.004056835,0.001009341,0.01284198,0.001002749],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.000859354,0.001446243,0.001155448,0.004837266,0.0001675789,0.9859384,0.0002099277,0.00005927194,0.005326562],"genre_scores_gemma":[0.0006304627,0.001348559,0.009554616,0.00005003834,0.0001421788,0.9538231,0.0001378385,0.0001438754,0.03416925],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3664688,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006156732283077,"score_gpt":0.5861572875063439,"score_spread":0.3855416142780361,"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."}}