{"id":"W4367300281","doi":"10.1002/jgc4.1720","title":"Insights into genetic assistant practice and the workforce in North America","year":2023,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Workforce; Genetic counseling; Diversity (politics); Genetic diversity; Economic shortage; Demographics; Medical education; Medicine; Genetics; Population; Political science; Biology; Sociology; Environmental health","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":[0.0003702801,0.0001199921,0.0001805474,0.000120285,0.0000996419,0.00005159795,0.0002146934,0.00006354784,0.000003510895],"category_scores_gemma":[0.0004199775,0.00008795816,0.00006755517,0.0004759119,0.0001609951,0.000007063947,0.00006215577,0.0001839949,0.000005365109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005025293,"about_ca_system_score_gemma":0.0002793834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002306779,"about_ca_topic_score_gemma":0.0002174858,"domain_scores_codex":[0.9987113,0.0001671276,0.0004936412,0.0001811383,0.0002759452,0.0001708107],"domain_scores_gemma":[0.9989434,0.000166235,0.0003415771,0.0002272063,0.000260504,0.00006105111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002977323,0.0002004762,0.01583565,0.0001282039,0.0007163988,0.0004942843,0.03281171,0.342438,0.08958233,0.00007082223,0.006891378,0.5078534],"study_design_scores_gemma":[0.006982398,0.000868184,0.08273641,0.0001886614,0.0003569076,0.0007585778,0.01112396,0.01759795,0.002665561,0.001977602,0.8740005,0.0007432238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607367,0.03194512,0.005690104,0.00109483,0.000272654,0.0001275761,9.274543e-7,0.000004244349,0.0001278281],"genre_scores_gemma":[0.9607213,0.03027093,0.007945136,0.0006222983,0.0003420908,0.00001188669,0.000003120932,0.00002091852,0.00006238471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8671092,"threshold_uncertainty_score":0.358683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00917022060816279,"score_gpt":0.2730021390151413,"score_spread":0.2638319184069784,"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."}}