{"id":"W2091582980","doi":"10.1159/000084030","title":"Fetal Growth Velocities in Hong Kong Chinese Infants","year":2005,"lang":"en","type":"article","venue":"Neonatology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Gestation; Fetus; Fetal growth; Head circumference; Growth velocity; Medicine; Circumference; Body weight; Obstetrics; Population; Birth weight; Chinese population; Significant difference; Pregnancy; Biology; Endocrinology; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001703418,0.0001426209,0.0003798252,0.0002262783,0.00006176494,0.000004812253,0.00008031232,0.0001853321,0.000237201],"category_scores_gemma":[0.000102213,0.0001210063,0.0000398112,0.0002069273,0.00009994925,0.00007950396,0.00004493623,0.0003349407,0.0001670292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009356259,"about_ca_system_score_gemma":0.0002652008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001933899,"about_ca_topic_score_gemma":0.001263372,"domain_scores_codex":[0.9988337,0.00004008387,0.0003046569,0.0002311801,0.0001416739,0.0004487018],"domain_scores_gemma":[0.9995751,0.00005782945,0.00005561792,0.0001371167,0.0000506034,0.0001237552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342275,0.00008193946,0.9400244,0.0001014348,0.00002153517,0.0001568456,0.001482135,6.640795e-7,0.0001003484,0.03254028,0.0009370837,0.02441906],"study_design_scores_gemma":[0.002182194,0.00006143394,0.9870187,0.000039897,0.000007511293,0.0004318189,0.0001423182,0.0001480343,0.0002286962,0.00638432,0.003220797,0.0001342559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700244,0.0008332557,0.00003124494,0.007252685,0.0002555649,0.0001752379,0.000002311843,0.000065019,0.02136028],"genre_scores_gemma":[0.9886229,0.004944568,0.002298848,0.00374319,0.0001961403,0.00001431019,0.00001774929,0.0000174205,0.0001448994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04699427,"threshold_uncertainty_score":0.4934495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252239082059618,"score_gpt":0.289421838450591,"score_spread":0.2768994476299948,"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."}}