{"id":"W2100368765","doi":"10.1155/2012/580186","title":"Real-Time Clinical Decision Support System with Data Stream Mining","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedicine and Biotechnology","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Data science; Field (mathematics); Decision support system; Data mining; Software; Data stream; Data stream mining","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":[],"consensus_categories":[],"category_scores_codex":[0.002502622,0.0001497469,0.0004977899,0.0005281486,0.00005275192,0.00003268852,0.001702579,0.0002984536,0.000005824057],"category_scores_gemma":[0.0002024906,0.00009007089,0.00003026931,0.0004806742,0.0003175368,0.000685575,0.0009738472,0.0003024447,0.000008173958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003011304,"about_ca_system_score_gemma":0.0001064974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001493648,"about_ca_topic_score_gemma":0.000001518928,"domain_scores_codex":[0.9982569,0.00005823952,0.0007676893,0.0002833723,0.000321532,0.0003122229],"domain_scores_gemma":[0.9976737,0.000265996,0.0006365578,0.001134049,0.00009317746,0.0001965582],"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":[0.000107603,0.0002259924,0.0120521,0.00003556046,0.0001284355,0.0004368833,0.0001158016,3.367172e-8,0.005737519,0.00203609,0.06219197,0.916932],"study_design_scores_gemma":[0.01956822,0.07708953,0.07010455,0.008433308,0.001482147,0.1541344,0.006069799,0.02299846,0.04710863,0.0009547297,0.5888844,0.003171818],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5722888,0.0005999696,0.4191311,0.005815263,0.0008451738,0.0001750522,0.00003656887,0.0005267839,0.0005813757],"genre_scores_gemma":[0.4920665,0.0006760604,0.5068137,0.00007757043,0.0003260326,5.877847e-7,0.00001278333,0.000009666641,0.00001713072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9137602,"threshold_uncertainty_score":0.3672984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656716972369448,"score_gpt":0.3334920832397414,"score_spread":0.2969249135160469,"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."}}