{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06956386,0.0003508243,0.002506027,0.0001143305,0.0006661583,0.00001519711,0.0005599071,0.001460871,0.0007285082],"category_scores_gemma":[0.009420624,0.0002800921,0.0006273288,0.0002385015,0.0002079368,0.0001992975,0.0002079716,0.001726083,0.00273546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218655,"about_ca_system_score_gemma":0.00207154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001381362,"about_ca_topic_score_gemma":0.00002962713,"domain_scores_codex":[0.9800761,0.002840682,0.01487064,0.0003470537,0.0003898048,0.00147567],"domain_scores_gemma":[0.964608,0.02878349,0.004471058,0.001015272,0.0003483786,0.0007737767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005454028,0.001927947,0.07537847,0.006068376,0.001534895,0.000005601558,0.02120943,0.00001131439,0.0001008385,0.112287,0.4887301,0.2872919],"study_design_scores_gemma":[0.03407064,0.003626763,0.01303811,0.001595796,0.00138591,0.00001476419,0.01314483,0.06190743,0.0001011201,0.03090769,0.8374467,0.002760238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3692232,0.0000985344,0.09351033,0.000430708,0.0119992,0.02423639,0.0001913923,0.001221624,0.4990886],"genre_scores_gemma":[0.2555995,0.005741256,0.6649851,0.03740957,0.02079849,0.004892488,0.0004521186,0.0006824918,0.009439043],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5714747,"threshold_uncertainty_score":0.9999651,"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."}}