{"id":"W2133539378","doi":"10.1002/uog.5229","title":"Fetal macrosomia risk estimation","year":2008,"lang":"en","type":"letter","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nomogram; Fetal macrosomia; Medicine; Birth weight; Obstetrics; Estimation; Incidence (geometry); Fetal weight; Demography; Pregnancy; Internal medicine; Gestation; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002915494,0.0009931088,0.0006876483,0.002536947,0.0001657444,0.001176566,0.0008890502,0.0007191751,0.005711261],"category_scores_gemma":[0.0191907,0.0002794967,0.0008588523,0.0009352852,0.0002093728,0.0007036425,0.00118364,0.001133897,0.00203489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878915,"about_ca_system_score_gemma":0.0005567627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200495,"about_ca_topic_score_gemma":0.0008304545,"domain_scores_codex":[0.998811,0.0004415601,0.0001080065,0.000248979,0.0003305108,0.00005988588],"domain_scores_gemma":[0.9958642,0.002513685,0.0005299285,0.0003558543,0.0006076357,0.000128738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005810612,0.00008484675,0.1738007,0.0004944126,0.0005111932,0.0008380191,0.0001976337,0.1063547,0.0020118,0.02347601,0.02401428,0.6676354],"study_design_scores_gemma":[0.0001049091,0.000492525,0.07259127,0.0009192924,0.0004419939,0.006081791,0.0001884738,0.8012308,0.007908192,0.0577382,0.05214593,0.0001565528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0410486,0.008939703,0.9307194,0.001552822,0.0003153691,0.000260202,0.004293466,0.001402801,0.01146775],"genre_scores_gemma":[0.7002287,0.008678338,0.2757277,0.0004840139,0.0005466416,0.0004451021,0.006633021,0.0003643424,0.006892092],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005711261,"threshold_uncertainty_score":0.01910603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700156537781389,"score_gpt":0.2673628444111815,"score_spread":0.2503612790333676,"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."}}