{"id":"W4245872524","doi":"10.1007/978-0-387-39940-9_3030","title":"MDR","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000911055,0.00103646,0.00170327,0.0007438216,0.00008313994,0.00004420302,0.001003503,0.0006156422,0.001138143],"category_scores_gemma":[0.0001589911,0.001028604,0.0003900176,0.0001127293,0.0002090658,0.0003985014,0.0002792988,0.0008327155,0.01882982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241565,"about_ca_system_score_gemma":0.0004052183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003449571,"about_ca_topic_score_gemma":0.00006770412,"domain_scores_codex":[0.994854,0.0001022896,0.001731292,0.001092765,0.00158963,0.000630035],"domain_scores_gemma":[0.9944793,0.0002028107,0.001658544,0.002939105,0.000342106,0.0003781187],"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":[0.00009625339,0.0001240738,0.00004509113,0.00143829,0.0004210912,0.0005051313,0.000155494,0.00002617388,0.0003379242,0.2415524,0.7502713,0.005026823],"study_design_scores_gemma":[0.000509055,0.0001111013,0.00001635519,0.002393272,0.0003128302,0.0000867021,0.00002315987,0.00002452296,0.00001782991,0.0004406572,0.9950943,0.0009701913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002503264,0.01011989,0.00005142744,0.00001378063,0.002178941,0.001389405,0.02207517,0.0003689732,0.9637774],"genre_scores_gemma":[0.0004173808,0.003095914,0.0005033559,0.00002496492,0.00245435,0.00004014821,0.007544679,0.000533806,0.9853854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2448231,"threshold_uncertainty_score":0.9997749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050063523870503,"score_gpt":0.2471932338131274,"score_spread":0.2266925985744223,"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."}}