{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926214,0.0008618573,0.0009247141,0.001617193,0.0007367398,0.002587273,0.002130155,0.002650191,0.007587281],"category_scores_gemma":[0.01163247,0.0004793445,0.0006774566,0.0009874762,0.0003973133,0.001735341,0.001664379,0.001235629,0.004445933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009865279,"about_ca_system_score_gemma":0.002207273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004364352,"about_ca_topic_score_gemma":0.004657793,"domain_scores_codex":[0.9977471,0.0005427105,0.0005653764,0.0004987885,0.0005148837,0.0001311911],"domain_scores_gemma":[0.9946172,0.00207461,0.0004234954,0.0006986571,0.001599686,0.0005862923],"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":[0.0027834,0.002021684,0.01875953,0.001970415,0.0004943049,0.01035229,0.001437412,0.03594805,0.04251164,0.0166432,0.2421234,0.6249548],"study_design_scores_gemma":[0.001825816,0.0008637707,0.01049368,0.000975298,0.000366464,0.003922404,0.0006834387,0.6403586,0.03828702,0.02064204,0.281229,0.0003523894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0674629,0.0020052,0.6823909,0.008814134,0.001237656,0.005048462,0.01335325,0.1899349,0.02975261],"genre_scores_gemma":[0.3446544,0.001121494,0.6211087,0.005179671,0.0003587617,0.002423484,0.0148019,0.001312568,0.009038952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007587281,"threshold_uncertainty_score":0.02538198,"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."}}