{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041421,0.000207313,0.0002033967,0.0008618265,0.0003207117,0.0003368441,0.0001537991,0.0001371804,0.0006984466],"category_scores_gemma":[0.001451284,0.000148918,0.0001521942,0.0009591733,0.0002831057,0.0001687512,0.0002010481,0.0001521097,0.00008638655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006710054,"about_ca_system_score_gemma":0.0005182884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08580184,"about_ca_topic_score_gemma":0.04772049,"domain_scores_codex":[0.9998044,0.00004007649,0.00002684482,0.00004484443,0.00003990335,0.00004393028],"domain_scores_gemma":[0.9994506,0.0001233346,0.0002225042,0.00003176439,0.00009134915,0.00008027043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009612071,0.000009208375,0.9904981,0.00002635439,0.00002277048,0.0005641551,0.001010245,0.00006041929,0.001099558,0.00005581336,0.00009088938,0.006466346],"study_design_scores_gemma":[0.000001403429,0.00003369336,0.99899,0.000004721151,0.000008134974,0.0002942673,0.0003239689,0.00004606588,0.0001266833,0.000008385677,0.0001602969,0.000002463196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992576,0.0002348386,0.0000281825,0.00001445335,0.000002306087,0.000002032675,0.00008534615,0.00000156767,0.0003737406],"genre_scores_gemma":[0.9992384,0.0003323214,0.00005227254,0.00001019062,0.000003169887,0.000004375883,0.0001180207,0.000001373979,0.0002397512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08580184,"threshold_uncertainty_score":0.1706048,"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."}}