{"id":"W2943850543","doi":"10.1002/jgc4.1129","title":"Genetic counseling job market in the United States and Canada: An analysis of job advertisements 2014–2016","year":2019,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic counseling; Workforce; Family medicine; Medicine; Job market; Medical education; Psychology; Genetics; Political science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008618245,0.0001637687,0.0003115964,0.0003104756,0.00005426573,0.00003483192,0.0003550781,0.00008459095,0.00008004755],"category_scores_gemma":[0.000046958,0.0001314993,0.00008968882,0.0003758143,0.00005356498,0.000008064193,0.00003027024,0.00014438,5.016693e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092268,"about_ca_system_score_gemma":0.0007916095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03399061,"about_ca_topic_score_gemma":0.1317512,"domain_scores_codex":[0.9981282,0.0002055371,0.0007278924,0.0002346105,0.0004707464,0.0002330109],"domain_scores_gemma":[0.9985986,0.00008613526,0.000425466,0.0003652234,0.0004458387,0.00007871309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002965078,0.00008364408,0.5973384,0.00008110811,0.001431308,0.00003124151,0.002562061,0.3282382,0.05943392,0.000001705925,0.006606152,0.00389572],"study_design_scores_gemma":[0.002124745,0.0007295,0.8937645,0.0001663006,0.001471896,0.0001415062,0.006964445,0.06984979,0.002598678,0.00008135297,0.02158225,0.0005250198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909015,0.006842428,0.001720663,0.0001215215,0.0002027678,0.0001450883,0.00003033986,0.000001214173,0.00003442035],"genre_scores_gemma":[0.9858188,0.01178761,0.001680403,0.0004993919,0.000101815,0.000003778414,0.00002169025,0.00001918976,0.00006730653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2964261,"threshold_uncertainty_score":0.9724422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005434326986971407,"score_gpt":0.2415391336050516,"score_spread":0.2361048066180801,"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."}}