{"id":"W2158165432","doi":"10.4338/aci-2011-04-cr-0026","title":"Using real-time alerts for clinical trials","year":2011,"lang":"en","type":"article","venue":"Applied Clinical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Medical emergency; Clinical trial; Pharmacy; Medical prescription; Randomized controlled trial; Identification (biology); Telemedicine; Emergency medicine; Health care; Family medicine; Internal medicine; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.219541,0.001866596,0.002215101,0.004956983,0.0008085851,0.008453901,0.002602991,0.003988725,0.01714149],"category_scores_gemma":[0.428367,0.001212907,0.002064177,0.003812952,0.002015536,0.006342082,0.003347185,0.002548795,0.006325516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510132,"about_ca_system_score_gemma":0.005185411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000138718,"about_ca_topic_score_gemma":0.0001356958,"domain_scores_codex":[0.6189681,0.3407659,0.02088298,0.006210303,0.01209595,0.001076867],"domain_scores_gemma":[0.3083642,0.5581991,0.06536497,0.04205358,0.01969848,0.006319658],"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":[0.03533409,0.001853472,0.01556307,0.01553695,0.002207782,0.0004195696,0.001515116,0.007451725,0.005074303,0.01242765,0.03864191,0.8639744],"study_design_scores_gemma":[0.09217068,0.07427041,0.04933066,0.03159697,0.006387697,0.003355348,0.001630921,0.07992528,0.03911616,0.1550922,0.4657904,0.001333178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07673006,0.03236137,0.6919326,0.03845004,0.008966072,0.08131039,0.01040384,0.02401358,0.03583212],"genre_scores_gemma":[0.305564,0.006556503,0.5834697,0.008648014,0.003703849,0.08668812,0.002579884,0.0007407538,0.002049196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.219541,"threshold_uncertainty_score":0.9624448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8161811192539596,"score_gpt":0.6715631651884361,"score_spread":0.1446179540655236,"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."}}