{"id":"W7095126522","doi":"","title":"Edmonton","year":2014,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Node (physics); Vertex (graph theory); Binary search tree; Tree (set theory); Binary number","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002590091,0.0000740884,0.00006699464,0.00002564025,0.00004126468,0.0000213379,0.000179727,0.0001010639,0.0001083773],"category_scores_gemma":[0.0002140083,0.00005627189,0.00004773698,0.00003927018,0.00008629874,0.000001036298,0.0001074325,0.00004890634,0.0001829998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003639138,"about_ca_system_score_gemma":0.00002793155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314544,"about_ca_topic_score_gemma":0.00003179284,"domain_scores_codex":[0.9992996,0.0000231769,0.0001318958,0.0001380145,0.0001786998,0.0002285532],"domain_scores_gemma":[0.9995143,0.000008528082,0.00001981122,0.0002563827,0.00005887703,0.0001420925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006197795,0.000117,0.002537284,0.00006004476,0.00004732595,8.26494e-7,0.0000553021,0.000008122698,0.6009907,0.001814832,0.1327253,0.2615813],"study_design_scores_gemma":[0.0003512769,0.0004096574,0.003020042,0.000003373799,0.000003166604,0.000003771498,0.00004104981,0.0008777475,0.1615989,0.0003071446,0.8332436,0.0001402364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4627443,0.0002187739,0.06766496,0.001679588,0.0004113753,0.0002602797,0.000007147731,0.00004858735,0.466965],"genre_scores_gemma":[0.984267,0.0001463347,0.003139789,0.001014706,0.0003779127,0.000005273955,0.00005421105,0.000008569672,0.01098623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7005183,"threshold_uncertainty_score":0.2352153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143594857798915,"score_gpt":0.2724409851933121,"score_spread":0.261005036615323,"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."}}