{"id":"W2546705495","doi":"","title":"WaterlooClarke: TREC 2015 Clinical Decision Support Track","year":2015,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Mean reciprocal rank; Search engine; Reciprocal; Clinical decision support system; Test (biology); Rank (graph theory); Decision support system; Data 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":[0.001285501,0.0002098141,0.0003123512,0.00004104728,0.00005293864,0.00005517461,0.0004592543,0.0005073156,0.0002676976],"category_scores_gemma":[0.001893533,0.000163062,0.0001341475,0.0001279255,0.0003928341,0.000005714677,0.0002063209,0.0002692682,0.0003773606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000171319,"about_ca_system_score_gemma":0.0004847986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609878,"about_ca_topic_score_gemma":0.00002821537,"domain_scores_codex":[0.9980555,0.000152638,0.0004936268,0.0005558094,0.0003637694,0.0003787105],"domain_scores_gemma":[0.9985568,0.00007738434,0.0001130688,0.0005293204,0.0002973003,0.0004261573],"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":[0.003061767,0.000361727,0.01412965,0.00002157239,0.0001122864,0.00008343084,0.0003090411,0.000002396432,0.02066123,0.000204441,0.3316276,0.6294249],"study_design_scores_gemma":[0.002968412,0.003527104,0.01213346,0.00004104334,0.00004821349,0.00009177798,0.0003580022,0.0002117025,0.02489262,0.001224892,0.9539291,0.0005736609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980431,0.000770298,0.009614192,0.0008402051,0.001075354,0.0001774797,0.00002911112,0.00009718892,0.006965238],"genre_scores_gemma":[0.9880388,0.0002372171,0.004533532,0.000412386,0.0003834918,0.000003487119,0.0001265161,0.00001945439,0.006245146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6288512,"threshold_uncertainty_score":0.6649475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08993383767107038,"score_gpt":0.3806690461193441,"score_spread":0.2907352084482737,"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."}}