{"id":"W1975389773","doi":"10.1111/j.1479-828x.2005.00444.x","title":"Prediction of small for gestational age by logistic regression in twins","year":2005,"lang":"en","type":"article","venue":"Australian and New Zealand Journal of Obstetrics and Gynaecology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Logistic regression; Medicine; Small for gestational age; Percentile; Obstetrics; Gestational age; Gestation; Pediatrics; Pregnancy; Statistics; Internal medicine","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":[0.0001659085,0.00007668738,0.0002831726,0.0001653098,0.00002850421,0.000005505494,0.00002957467,0.0001060752,0.00002817262],"category_scores_gemma":[0.0005267762,0.00005582572,0.00003799882,0.0000907793,0.00006447349,0.00004761913,0.00001111709,0.0001424155,1.408721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003208928,"about_ca_system_score_gemma":0.00005713354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009692906,"about_ca_topic_score_gemma":0.00001429279,"domain_scores_codex":[0.9993458,0.00002256858,0.0003472078,0.00008546459,0.00007274094,0.0001262652],"domain_scores_gemma":[0.9989486,0.0006558936,0.0001913644,0.00003874936,0.00006333878,0.0001020806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002433001,0.0003185078,0.7648551,0.0001938228,0.0001284399,0.0001422535,0.001060803,0.00002653365,0.00059409,0.0003474473,0.02447471,0.2076149],"study_design_scores_gemma":[0.00571116,0.001669924,0.9598057,0.00007453881,0.00009650934,0.00009961254,0.00009692296,0.00004605537,0.0002037675,0.001092697,0.03104865,0.0000544732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989173,0.006445614,0.0001871036,0.00310616,0.0005741203,0.0002040292,0.00005301934,0.000003428269,0.0002535598],"genre_scores_gemma":[0.9932539,0.002472965,0.00177021,0.00008428642,0.00005821751,0.00000161725,0.00001362386,0.0000045105,0.002340643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2075605,"threshold_uncertainty_score":0.2276507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08598824339049861,"score_gpt":0.306646460004309,"score_spread":0.2206582166138104,"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."}}