{"id":"W2550819409","doi":"10.2196/medinform.5728","title":"Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention","year":2016,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cancer survivorship and care","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Decision support system; Clinical decision support system; Intervention (counseling); Computer science; Medicine; Data mining; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00964118,0.0008149213,0.0006322227,0.0009999803,0.0006801935,0.002801281,0.001682335,0.001490479,0.004815867],"category_scores_gemma":[0.0820515,0.0005300582,0.0007916907,0.0006535249,0.001214079,0.00330864,0.002488408,0.001702692,0.0006273459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070264,"about_ca_system_score_gemma":0.002141574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001673,"about_ca_topic_score_gemma":0.000889662,"domain_scores_codex":[0.990769,0.005651333,0.0006939469,0.0009376323,0.001657204,0.0002909982],"domain_scores_gemma":[0.903423,0.08433001,0.003471145,0.003305027,0.003359654,0.002111144],"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":[0.003053444,0.009353147,0.04319954,0.003125292,0.0002792419,0.0007021078,0.01871595,0.00858009,0.01832656,0.003721165,0.01215477,0.8787887],"study_design_scores_gemma":[0.01230937,0.03678573,0.2846223,0.006616951,0.002995706,0.006993581,0.02137122,0.3504885,0.06597931,0.07097552,0.1391838,0.001677943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8360818,0.000703818,0.1340916,0.007108476,0.0003480494,0.003942875,0.0003490073,0.004275369,0.01309906],"genre_scores_gemma":[0.7679437,0.0003678644,0.2267793,0.001418867,0.0001286877,0.001817722,0.0003577836,0.0001174045,0.001068572],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00964118,"threshold_uncertainty_score":0.05098808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527283440470723,"score_gpt":0.4138854538961024,"score_spread":0.36115710984903,"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."}}