{"id":"W2623736282","doi":"10.1038/ejhg.2017.67","title":"Be prepared for prenatal diagnosis","year":2017,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's & Women's Health Centre of British Columbia","funders":"","keywords":"Prenatal diagnosis; Medicine; Computational biology; Genetics; Obstetrics; Biology; Pregnancy; Fetus","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001337404,0.0001182633,0.0002323991,0.00005982364,0.001931063,0.00004463191,0.0006382616,0.00003234141,0.0001358928],"category_scores_gemma":[0.0003286009,0.00009775657,0.0001374277,0.00001360475,0.00007202019,0.0000835449,0.0001704835,0.0004142692,0.00003128821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004431624,"about_ca_system_score_gemma":0.0001339061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001917735,"about_ca_topic_score_gemma":0.00001857297,"domain_scores_codex":[0.9981706,0.0004350331,0.0007393316,0.0001312532,0.0001953021,0.0003285534],"domain_scores_gemma":[0.9976822,0.0001157094,0.001242407,0.0004719135,0.0002625864,0.0002252356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004363159,0.000664073,0.3696338,0.001416831,0.0002190705,0.0002579493,0.02279692,0.00003866418,0.001695159,0.001453219,0.5554689,0.04591917],"study_design_scores_gemma":[0.005187336,0.001442893,0.6258987,0.001743808,0.0001063845,0.00001776668,0.001004988,0.00002686336,0.0006900484,0.0004231408,0.3631782,0.000279859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861979,0.0005863525,0.0002603167,0.001858481,0.00128998,0.0004684004,0.00004753195,0.00001667215,0.009274362],"genre_scores_gemma":[0.9932433,0.0003467843,0.001285122,0.0008236903,0.002976405,0.000001215206,0.000005502964,0.00004819192,0.001269749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2562649,"threshold_uncertainty_score":0.9993683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355764758329071,"score_gpt":0.4391291329536766,"score_spread":0.3035526571207695,"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."}}