{"id":"W2919888313","doi":"10.1038/s41598-019-39111-7","title":"Towards Improving Embryo Prioritization: Parallel Next Generation Sequencing of DNA and RNA from a Single Trophectoderm Biopsy","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; CReATe Fertility Centre","funders":"Government of Ontario; Ontario Centres of Excellence","keywords":"Transcriptome; Prioritization; Embryo; Biology; Computational biology; Aneuploidy; DNA sequencing; Concordance; Bioinformatics; Genetics; Gene; Gene expression; Chromosome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003608822,0.001035806,0.0007939311,0.00211189,0.0004471681,0.001538085,0.0006394696,0.0008746731,0.001452036],"category_scores_gemma":[0.004961464,0.0005230019,0.0006537511,0.0007862055,0.0005734852,0.0006225131,0.001154753,0.001290451,0.0009836297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545837,"about_ca_system_score_gemma":0.000913508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398925,"about_ca_topic_score_gemma":0.003946501,"domain_scores_codex":[0.997539,0.0006976897,0.0001928635,0.0006487743,0.0007900206,0.0001315677],"domain_scores_gemma":[0.9973866,0.0009725697,0.0002902946,0.0003966601,0.0008226426,0.0001310885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003176061,0.00006774243,0.01193658,0.0002246266,0.00009794024,0.0003686367,0.0003338316,0.002114731,0.9258924,0.0005484561,0.0006664605,0.05743106],"study_design_scores_gemma":[0.00007764232,0.0006832563,0.07442909,0.0001584551,0.0002803072,0.003102274,0.0004965879,0.05821619,0.8411198,0.003557224,0.01775722,0.0001219112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2769246,0.001889219,0.714164,0.0005914794,0.0002008253,0.0007154047,0.001684879,0.001567073,0.002262538],"genre_scores_gemma":[0.2912993,0.001312006,0.7008882,0.0006640721,0.0001063937,0.0006330514,0.002396226,0.0005469806,0.002153826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003608822,"threshold_uncertainty_score":0.01908553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092751028366742,"score_gpt":0.2515685611540304,"score_spread":0.210641050870363,"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."}}