{"id":"W3199713736","doi":"10.1002/jgc4.1502","title":"Genetic counseling research and COVID‐19: A lesson in resiliency","year":2021,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Provincial Health Services Authority; Women's Health Research Institute; University of British Columbia","funders":"University of British Columbia; Provincial Health Services Authority; Genome British Columbia; BC Children's Hospital; Children's Hospital Foundation; Canadian Institutes of Health Research; Genome Canada; McGill University","keywords":"Genetic counseling; Pandemic; Translational research; Medical education; Public health; Exome sequencing; Medicine; Coronavirus disease 2019 (COVID-19); Psychology; Nursing; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062155,0.0001446094,0.0002367047,0.0001836505,0.000157876,0.000093191,0.0002199154,0.0001350995,0.0000366658],"category_scores_gemma":[0.0005562872,0.0001421189,0.00008795912,0.0002397367,0.0001144483,0.000004690695,0.00008530579,0.0002666528,0.000001928398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005215668,"about_ca_system_score_gemma":0.001188661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003542233,"about_ca_topic_score_gemma":0.0002164102,"domain_scores_codex":[0.9980964,0.0001928532,0.0005915387,0.0003408151,0.0004128675,0.0003654902],"domain_scores_gemma":[0.998441,0.00008757479,0.0001741098,0.0002753524,0.0007054958,0.0003164341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007745909,0.0005812701,0.05156077,0.000327601,0.0001821876,0.003594168,0.003540565,0.02176713,0.8930412,0.00005848657,0.003961687,0.02061035],"study_design_scores_gemma":[0.01950068,0.006760893,0.2151728,0.001768928,0.0005119506,0.02932385,0.03492847,0.01038396,0.07434974,0.02854843,0.5750781,0.003672248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926436,0.07055836,0.002320862,0.00034123,0.0001538471,0.00008850481,0.000007211886,0.000002121482,0.0000918605],"genre_scores_gemma":[0.9646749,0.0313029,0.003150421,0.0002924382,0.0003836044,0.000003612142,0.000005239822,0.00002472941,0.0001621337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8186914,"threshold_uncertainty_score":0.5795441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919604789576843,"score_gpt":0.3336916545935721,"score_spread":0.3044956066978037,"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."}}