{"id":"W2893975461","doi":"10.1016/j.rbms.2018.09.001","title":"Cross-border preimplantation genetic diagnosis","year":2018,"lang":"en","type":"article","venue":"Reproductive Biomedicine & Society Online","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Preimplantation genetic diagnosis; Biology; Genetics; Pregnancy","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":[0.0003326858,0.0002657947,0.0004119126,0.00007363601,0.0002012224,0.00002218306,0.0001114352,0.000170062,0.0005389009],"category_scores_gemma":[0.00127784,0.0002131052,0.0001889911,0.0006952292,0.0009499981,0.0001132138,0.0001038978,0.0002702071,0.0001006195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198398,"about_ca_system_score_gemma":0.0001409566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002349978,"about_ca_topic_score_gemma":0.00001074701,"domain_scores_codex":[0.9977267,0.00003529931,0.0004348959,0.0008587603,0.000521643,0.0004226526],"domain_scores_gemma":[0.997911,0.0001671333,0.0001636098,0.0007495069,0.0007545772,0.0002541341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007655813,0.002119796,0.681951,0.0003780817,0.0007550228,0.00009283204,0.003346999,0.00001245011,0.02099475,0.00004581706,0.06785527,0.2216824],"study_design_scores_gemma":[0.002517765,0.001877305,0.9042257,0.000260358,0.0003212114,0.0003455589,0.0003930419,0.0004063144,0.0109633,0.00008792751,0.07832273,0.0002787568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870068,0.002249429,0.002344284,0.005755184,0.0006753525,0.0006180388,0.0001796108,0.0002840738,0.0008872426],"genre_scores_gemma":[0.9476523,0.001140807,0.03452753,0.002445437,0.01012858,0.0000639983,0.0009048352,0.0000637932,0.003072714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2222748,"threshold_uncertainty_score":0.869018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385435993581163,"score_gpt":0.4000072510468937,"score_spread":0.3761528911110821,"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."}}