{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001866667,0.0008544722,0.0006139793,0.0008559223,0.0003195279,0.0003692431,0.0008978389,0.0005773814,0.0032242],"category_scores_gemma":[0.0006816818,0.0001728586,0.0003312856,0.0004033227,0.0001378364,0.0004047469,0.0009325956,0.0003491823,0.002652527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147079,"about_ca_system_score_gemma":0.0004892565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005237428,"about_ca_topic_score_gemma":0.006156387,"domain_scores_codex":[0.9995871,0.00005761599,0.00001968525,0.00009137426,0.0001873302,0.00005689459],"domain_scores_gemma":[0.9997968,0.00002036925,0.00002653346,0.00002777203,0.0001099918,0.00001852629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007072313,0.0001533308,0.01942617,0.0005256118,0.0001081724,0.0005057052,0.000221672,0.01213552,0.07611526,0.001694998,0.030217,0.8581893],"study_design_scores_gemma":[0.0004669427,0.001752067,0.05756422,0.0003799103,0.0002599257,0.003691941,0.000484635,0.6133145,0.1599581,0.002670529,0.1592274,0.0002297633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.130027,0.003928135,0.7905896,0.0004556569,0.0009127533,0.0003788884,0.004023318,0.05234692,0.01733775],"genre_scores_gemma":[0.7540054,0.0009819431,0.2202654,0.0004485924,0.0001312286,0.000514562,0.00749528,0.0002521569,0.01590552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005237428,"threshold_uncertainty_score":0.010786,"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."}}