{"id":"W2159979032","doi":"10.1111/j.1365-3016.2010.01155.x","title":"The case against customised birthweight standards","year":2010,"lang":"en","type":"letter","venue":"Paediatric and Perinatal Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Percentile; Gestational age; Population; Small for gestational age; Obstetrics; Birth weight; Pediatrics; Demography; Pregnancy; Environmental health; Statistics","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003560187,0.0005481067,0.001380783,0.0002357973,0.0007760893,0.00002319295,0.0002182703,0.002988191,0.000164574],"category_scores_gemma":[0.003120908,0.000339339,0.0002562158,0.0002070146,0.0006628978,0.00004140936,0.0001755205,0.007405208,0.00005541379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779229,"about_ca_system_score_gemma":0.001220568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648963,"about_ca_topic_score_gemma":0.0001325919,"domain_scores_codex":[0.9961745,0.0006087738,0.0009907134,0.0008001216,0.0002654234,0.001160448],"domain_scores_gemma":[0.9941123,0.00414064,0.0004749564,0.0006365638,0.0002408641,0.000394698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001566256,0.00001127371,0.006797156,0.0009246895,0.0001103512,0.01010363,0.0001088518,1.027734e-7,0.000002273148,0.003805843,0.942293,0.0356862],"study_design_scores_gemma":[0.001187676,0.0002231403,0.002354936,0.00002935979,0.0001171324,0.008568237,0.00003823409,0.00009314076,0.000001654793,0.003874674,0.9831455,0.0003663369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03099136,0.01991094,0.0001326226,0.9343203,0.003032146,0.001122702,0.0007157958,0.0001614413,0.009612669],"genre_scores_gemma":[0.00688079,0.2730544,0.001463387,0.7058782,0.01115564,0.0001403713,0.000378249,0.00009549726,0.0009534811],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2531435,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713071974176308,"score_gpt":0.3178866378156128,"score_spread":0.2907559180738497,"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."}}