{"id":"W2080478326","doi":"10.1203/00006450-200301000-00004","title":"Genomics and Pediatric Research","year":2003,"lang":"en","type":"review","venue":"Pediatric Research","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Genome Canada; Howard Hughes Medical Institute","keywords":"Human genome; Hyperbole; Genome; Genomics; Data science; Computational biology; Biology; Computer science; Genetics; Gene; Philosophy; Linguistics","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":[0.004571585,0.0004542724,0.0008462347,0.001237315,0.0005850122,0.0002492252,0.0009347931,0.0008413861,0.00005666935],"category_scores_gemma":[0.0008581821,0.0003967745,0.0003618428,0.001485966,0.000253341,0.000004526732,0.001199454,0.001438832,0.0003071023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294267,"about_ca_system_score_gemma":0.002827079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000295342,"about_ca_topic_score_gemma":0.000005951343,"domain_scores_codex":[0.9940617,0.001606415,0.0006393305,0.001348829,0.0009539045,0.001389786],"domain_scores_gemma":[0.9971088,0.0003962591,0.0001456919,0.001108577,0.0006755154,0.0005651637],"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":[0.00008811851,0.0007127392,0.001912056,0.0465111,0.0003583303,0.0003873721,0.0000991314,0.000002663615,0.00003370519,0.0006680292,0.2596222,0.6896046],"study_design_scores_gemma":[0.00019015,0.0002210346,0.00003131325,0.00005155868,0.0002118858,0.00007547426,0.00003072416,7.638723e-7,0.000001982048,0.0001610303,0.99861,0.0004141487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00360733,0.9923368,0.000004541479,0.00001661107,0.000244271,0.001203438,0.0001615657,0.00001071293,0.002414785],"genre_scores_gemma":[0.0001504176,0.9910538,0.0001527167,0.0000122441,0.004281845,0.0002785464,0.0003499286,0.0001503377,0.003570229],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7389877,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2065543702619734,"score_gpt":0.4757409947069437,"score_spread":0.2691866244449703,"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."}}