{"id":"W1561375660","doi":"10.1002/pds.2315","title":"A systematic review of validated methods for identifying lymphoma using administrative data","year":2012,"lang":"en","type":"review","venue":"Pharmacoepidemiology and Drug Safety","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Medicine; Diagnosis code; Algorithm; Lymphoma; MEDLINE; Data mining; Internal medicine; Computer science; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02159594,0.0005496902,0.007354918,0.0001386225,0.0001484431,0.000006786402,0.0005313359,0.0002982719,0.00006562666],"category_scores_gemma":[0.007539439,0.0003889274,0.0006206133,0.0003332561,0.0001964647,0.0002331655,0.0003844554,0.0003411743,0.000005286873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552339,"about_ca_system_score_gemma":0.0006155372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006104762,"about_ca_topic_score_gemma":0.000001447408,"domain_scores_codex":[0.9904711,0.005220628,0.002894543,0.0007332914,0.0001578384,0.0005225557],"domain_scores_gemma":[0.9876242,0.008480168,0.002377368,0.0009927617,0.0002315065,0.0002940138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006766859,0.00003008463,0.000006549771,0.8526369,0.001244021,0.000005953573,0.00003174643,5.398899e-8,0.000002980059,0.0001317587,0.0006105567,0.1452317],"study_design_scores_gemma":[0.0004732204,0.00003345632,0.00000159194,0.7044831,0.040318,0.0008062503,0.0000397316,0.0003099978,0.000007730599,0.00003947861,0.2531976,0.000289834],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.120267e-7,0.9566943,0.03808532,0.0001287351,0.0003685935,0.004033565,0.0005303737,0.00003253784,0.0001261449],"genre_scores_gemma":[0.000004893989,0.9346028,0.06249103,0.001204925,0.0002297603,0.0001953077,0.001181584,0.00004151573,0.00004817887],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2525871,"threshold_uncertainty_score":0.9998562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6893731121625084,"score_gpt":0.6357438430983017,"score_spread":0.05362926906420673,"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."}}