{"id":"W2180450130","doi":"10.5339/qfarc.2014.hbpp0599","title":"A Guideline Compliant Clinical Decision Support System In Mobile And Smart Environments For Diagnosing Medical Conditions","year":2014,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Clinical decision support system; Guideline; Decision support system; Sleep apnea; Computer science; Wearable computer; Medicine; Medical emergency; Artificial intelligence; Embedded system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01308212,0.0002501173,0.0005462774,0.0005223923,0.0004576744,0.0007827201,0.001044247,0.0002732679,0.0005125428],"category_scores_gemma":[0.00537904,0.0002537589,0.00008338482,0.0004107677,0.0004267224,0.001770341,0.0007023596,0.000592431,0.001234747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002583693,"about_ca_system_score_gemma":0.0004063645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002244822,"about_ca_topic_score_gemma":0.0001573428,"domain_scores_codex":[0.9948319,0.0003104593,0.001307456,0.001100456,0.001745683,0.0007040906],"domain_scores_gemma":[0.9950643,0.002039379,0.0003179135,0.0004052505,0.001570248,0.0006028914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001402449,0.0005894803,0.0365666,0.0003071371,0.00004554663,0.00001443252,0.00262733,0.000003243473,0.0003476877,0.0172199,0.1168173,0.8253211],"study_design_scores_gemma":[0.001759268,0.0008321975,0.00876086,0.0004970123,0.000007922663,0.00005870318,0.001820385,0.2889012,0.00007168359,0.00136862,0.6955931,0.0003290998],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1018602,0.00006496214,0.8885511,0.003827582,0.000855312,0.002923375,0.0001019418,0.0002258093,0.001589817],"genre_scores_gemma":[0.9900616,0.0001127649,0.007741289,0.0002257005,0.0003113319,0.000779287,0.0001297987,0.00002618743,0.0006119721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8882015,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07733971870987556,"score_gpt":0.4208919161779879,"score_spread":0.3435521974681123,"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."}}