{"id":"W2546592849","doi":"10.1109/itme.2008.4743972","title":"Medical Knowledge Acquisition Through Data Mining","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knowledge extraction; Computer science; Knowledge acquisition; Data science; Medical knowledge; Data mining; Knowledge management; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002065668,0.00006427376,0.00007470953,0.00002123181,0.000196641,0.00004600353,0.002069677,0.00004306902,0.0001616688],"category_scores_gemma":[0.00003282179,0.00005432621,0.0000133446,0.0002757896,0.000058188,0.0008935129,0.0011405,0.0000621611,0.0004035484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008499374,"about_ca_system_score_gemma":0.0001200653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000389797,"about_ca_topic_score_gemma":0.000008354704,"domain_scores_codex":[0.9990826,0.00001812304,0.0001391667,0.0003762055,0.0002327641,0.0001511419],"domain_scores_gemma":[0.9985304,0.00008201222,0.0000253722,0.001247087,0.00003242933,0.0000827303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.373912e-7,0.0002181192,0.0002638521,0.000005087539,0.00001360898,0.00003779245,0.002082607,6.956648e-7,0.00003382193,0.08828514,0.5515082,0.3575505],"study_design_scores_gemma":[0.0002857574,0.00002831906,0.00172043,0.00002134176,0.000003431705,0.0002821872,0.00005982222,0.6189115,0.0001911487,0.0006881409,0.3776064,0.0002014991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002281305,0.0001252934,0.9521794,0.001911201,0.0001431647,0.00004045784,0.00001305985,0.0002272498,0.04307881],"genre_scores_gemma":[0.07167795,0.00009831203,0.9246962,0.001013499,0.000263626,0.00001328408,0.0001768766,0.000006737622,0.002053506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6189108,"threshold_uncertainty_score":0.5186933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09730166805199503,"score_gpt":0.3392275847261488,"score_spread":0.2419259166741538,"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."}}