{"id":"W4283155339","doi":"10.1186/s12911-022-01886-7","title":"AEDNav: indoor navigation for locating automated external defibrillator","year":2022,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; NOSM University; Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Computer science; Real-time computing; Mobile device; Matching (statistics); Automated external defibrillator; Path (computing); Point (geometry); Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001027885,0.0001037065,0.0002460375,0.0001305059,0.000362784,0.00005701667,0.00006654574,0.00007857482,0.00005615377],"category_scores_gemma":[0.0006300628,0.00008403691,0.0001021334,0.0001992573,0.00004344434,0.000112495,0.0001660675,0.0001808644,0.000006796494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006435991,"about_ca_system_score_gemma":0.0002350698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002399092,"about_ca_topic_score_gemma":0.000001380192,"domain_scores_codex":[0.9980904,0.00002625796,0.0006181105,0.0001064772,0.000971085,0.0001876456],"domain_scores_gemma":[0.9983713,0.001013104,0.0002055236,0.0001363177,0.0000973787,0.0001763795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001036598,0.00006611639,0.02137387,0.001015111,0.00005267945,0.00001524373,0.002166212,0.002904477,0.0001640663,0.001824985,0.005081737,0.9642989],"study_design_scores_gemma":[0.002034011,0.0001048761,0.004810863,0.0006680096,0.00004373688,0.0001867126,0.001771235,0.9850545,0.00001359446,0.001298936,0.003892828,0.0001206884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6502906,0.0001659123,0.3481114,0.00001641697,0.000584729,0.0003149454,0.000009508033,0.00009382701,0.0004126149],"genre_scores_gemma":[0.804724,0.00001413177,0.1944569,0.0004971979,0.0001908783,0.00004513261,0.00005276039,0.00001239998,0.000006637204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.98215,"threshold_uncertainty_score":0.3426926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221786275350593,"score_gpt":0.3431666225354003,"score_spread":0.3209487597818944,"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."}}