{"id":"W1983185429","doi":"10.1002/ajmg.a.36845","title":"A population‐based profile of 160 Australians with Prader‐Willi syndrome: Trends in diagnosis, birth prevalence and birth characteristics","year":2014,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part A","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Government of Victoria","keywords":"Medicine; Gestational age; Uniparental disomy; Birth weight; Gestation; Population; Pediatrics; Epidemiology; Quarter (Canadian coin); Pregnancy; Obstetrics; Internal medicine; Biology; Genetics","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":[0.0005548367,0.0001738352,0.0004328488,0.0001554362,0.00002799309,0.0000158748,0.0002691448,0.00009878904,0.0001241697],"category_scores_gemma":[0.0002205357,0.000138905,0.00006935603,0.0002707958,0.0002945145,0.000004080081,0.00006435705,0.0001902698,6.061834e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009949543,"about_ca_system_score_gemma":0.0001252797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003726748,"about_ca_topic_score_gemma":0.00002021304,"domain_scores_codex":[0.9981518,0.0001574662,0.0006216394,0.0002358924,0.0005614157,0.0002717935],"domain_scores_gemma":[0.9987434,0.00005071388,0.0005990691,0.0002340006,0.00009968343,0.0002731189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001113312,0.0001240777,0.9421175,0.00008937218,0.00004181931,0.000005821376,0.00004745349,0.00007281885,0.0007137106,0.000003801214,0.00008408053,0.05668847],"study_design_scores_gemma":[0.0008533318,0.003402974,0.9887497,0.0002914889,0.00004111092,0.0003529033,0.00005675501,0.0005245933,0.0007595259,0.00000394209,0.004790808,0.0001728648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981596,0.0003678851,0.0008756195,0.0003982816,0.00007915906,0.00007947826,0.00001810413,0.000002607945,0.00001924703],"genre_scores_gemma":[0.9947862,0.0009271325,0.00389248,0.0001657738,0.00009473824,0.00001009498,0.00001551247,0.00002326716,0.00008478633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0565156,"threshold_uncertainty_score":0.5664383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009621312756666363,"score_gpt":0.2630549053945118,"score_spread":0.2534335926378454,"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."}}