{"id":"W3006268264","doi":"10.23937/2474-1353/1510110","title":"Pre-Twin Screen - A Multi-Disciplinary Approach for a Personalized Prenatal Diagnostics and Care for Twin Pregnancies","year":2020,"lang":"en","type":"article","venue":"International Journal of Women s Health and Wellness","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Obstetrics; Twin Pregnancy; Preeclampsia; Intrauterine growth restriction; Medicine; Gestational diabetes; Pregnancy; Fetal growth; Advanced maternal age; Fetus; Gestation; Biology; Genetics","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":[0.0003078454,0.0001400795,0.0004167355,0.0001136901,0.0001424871,0.00002025416,0.0001443574,0.00009576733,0.000004087668],"category_scores_gemma":[0.0006539549,0.000110527,0.00008614137,0.00006345943,0.0001789657,0.0001231259,0.00007723422,0.0002189424,1.459687e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401338,"about_ca_system_score_gemma":0.0003688755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004538483,"about_ca_topic_score_gemma":7.995453e-7,"domain_scores_codex":[0.9988308,0.00003546311,0.0004015647,0.0002615391,0.0002144064,0.000256224],"domain_scores_gemma":[0.9986835,0.0001637155,0.0003210362,0.00007729835,0.0003977016,0.0003567645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.05016241,0.002641719,0.1890163,0.01998469,0.003625275,0.0003379449,0.2888634,0.00009884679,0.0004720042,0.01113205,0.004105289,0.4295601],"study_design_scores_gemma":[0.1838821,0.05675573,0.2002922,0.01935598,0.001477333,0.01061465,0.3391377,0.01971829,0.009394755,0.008550431,0.147765,0.003055839],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8194685,0.04749392,0.1122746,0.017891,0.0003954599,0.00206546,0.0003167308,0.00004704426,0.0000472451],"genre_scores_gemma":[0.9790348,0.001246305,0.01795239,0.0008419878,0.0005194043,0.0001512354,0.00007682508,0.00002213736,0.0001549086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4265043,"threshold_uncertainty_score":0.4507159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404662294040438,"score_gpt":0.3331046000558661,"score_spread":0.2990579771154617,"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."}}