{"id":"W2164253009","doi":"10.1186/gb-2007-8-2-402","title":"Systematic overestimation of gene gain through false diagnosis of gene absence.","year":2007,"lang":"en","type":"letter","venue":"Genome Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Genome Atlantic; Canadian Institutes of Health Research; Killam Trusts; Dalhousie University; Genome Canada","keywords":"Gene; Information gain; Genetics; Biology; Computational biology; Computer science; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003675776,0.0004186694,0.001036565,0.0001306977,0.00004831839,0.000006461732,0.0004912054,0.001115224,0.00002700158],"category_scores_gemma":[0.0001602105,0.0003749406,0.0003134367,0.0001215019,0.0003177478,8.452761e-7,0.0001693738,0.0002338168,0.00001238851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003223763,"about_ca_system_score_gemma":0.00009712045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000106863,"about_ca_topic_score_gemma":0.00001329719,"domain_scores_codex":[0.9975654,0.0001974023,0.001021679,0.0006017118,0.0001546309,0.0004592015],"domain_scores_gemma":[0.9978434,0.0001316677,0.00091889,0.0008072957,0.0002613872,0.00003739652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000403076,0.00006290356,0.00180895,0.005639167,0.001053832,0.00001510918,0.0001872458,0.0001170119,0.9717189,0.00005795397,0.0192261,0.00007253749],"study_design_scores_gemma":[0.001573135,0.002579553,0.005830694,0.001037908,0.0009507096,0.00010819,0.0001748606,0.00002257765,0.7665385,0.00194021,0.2172401,0.002003549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132685,0.1465127,0.01429846,0.01376345,0.00232701,0.003772453,0.004136838,0.00002343783,0.001897157],"genre_scores_gemma":[0.8345973,0.01814534,0.02777133,0.103317,0.006580002,0.0007420884,0.007644643,0.0003053851,0.0008968741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2051804,"threshold_uncertainty_score":0.9998702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114023147481443,"score_gpt":0.261657123760832,"score_spread":0.2405168922860176,"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."}}