{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398308,0.0004803025,0.000622665,0.002089055,0.001206645,0.0008517161,0.0007721908,0.000674971,0.006168632],"category_scores_gemma":[0.00350846,0.0002834779,0.0007639501,0.0006477257,0.0002644584,0.0007056927,0.001976635,0.001869451,0.001319749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588008,"about_ca_system_score_gemma":0.003030296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004494386,"about_ca_topic_score_gemma":0.008249414,"domain_scores_codex":[0.9991677,0.0003388997,0.00009621921,0.0001027424,0.000220344,0.00007411075],"domain_scores_gemma":[0.9990018,0.0001757779,0.00009532612,0.00009138609,0.0003001711,0.000335588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004516821,0.0006452427,0.1060484,0.001061821,0.0002518117,0.01435552,0.002643224,0.001312822,0.01025253,0.004468554,0.04631711,0.8121914],"study_design_scores_gemma":[0.000232925,0.00189965,0.4111125,0.007683236,0.0007281922,0.1460184,0.0062319,0.00870898,0.01665777,0.02557224,0.3747885,0.0003656872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3118462,0.1078532,0.350683,0.06262312,0.004928863,0.007080068,0.003664104,0.00408888,0.1472326],"genre_scores_gemma":[0.5589937,0.06272294,0.3279226,0.01034631,0.001849985,0.002239213,0.002546123,0.0004954967,0.03288364],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006168632,"threshold_uncertainty_score":0.02063614,"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."}}