{"id":"W2611133682","doi":"10.1016/j.jogc.2017.03.100","title":"Prenatal Phenotype of Down Syndrome Using 3-D Virtual Reality","year":2017,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Phenotype; Virtual reality; Genetics; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0002372561,0.00009078978,0.0004038868,0.0001034488,0.0001449294,0.00001789764,0.0001651309,0.0001051863,0.00005766743],"category_scores_gemma":[0.0123255,0.00007348337,0.00005201855,0.00007156994,0.0001255813,0.0000913488,0.00008981853,0.000263644,1.495878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852792,"about_ca_system_score_gemma":0.001390107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04427774,"about_ca_topic_score_gemma":0.008049877,"domain_scores_codex":[0.9990355,0.00002698716,0.0003847284,0.0000925641,0.0002863865,0.0001738351],"domain_scores_gemma":[0.9974504,0.001143903,0.0006592317,0.0002252982,0.0002917986,0.0002293882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008524278,0.0002565503,0.8720945,0.0002824895,0.0005345647,0.01838056,0.0001015585,0.0004106733,0.0001145962,0.0008742909,0.001963106,0.1049019],"study_design_scores_gemma":[0.001920872,0.0006964952,0.995137,0.00004596011,0.0001802907,0.000556347,0.00005988825,0.0003781865,0.0002045298,0.0001010266,0.0006367473,0.00008268269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933833,0.001430073,0.0001186596,0.0002358857,0.003716999,0.00005949648,0.00004366065,0.000001823373,0.001010043],"genre_scores_gemma":[0.999172,0.00005281752,0.000593384,0.00009363797,0.00002848849,1.914923e-7,0.000002436758,0.000006796272,0.00005028932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230425,"threshold_uncertainty_score":0.9959941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553020663308025,"score_gpt":0.2695469587351736,"score_spread":0.2440167521020933,"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."}}