{"id":"W2784583325","doi":"10.1007/s10897-018-0215-y","title":"How Might the Genetics Profession Better Utilize Social Media","year":2018,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engelberg Foundation; National Society of Genetic Counselors","keywords":"Genetic counseling; Confidentiality; Outreach; Social media; Genetic testing; Medical genetics; Psychology; Medicine; Medical education; Public relations; Family medicine; Genetics; World Wide Web; Political science; Computer science","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":[0.00206512,0.000102789,0.0001896195,0.0000832017,0.001236277,0.0001491524,0.0004407055,0.0001663563,0.0001364254],"category_scores_gemma":[0.002382478,0.00007409693,0.00009619521,0.0003408062,0.0005260447,0.0001077446,0.00002012381,0.0003402664,0.00001431009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649525,"about_ca_system_score_gemma":0.0009530847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004694497,"about_ca_topic_score_gemma":0.0006515235,"domain_scores_codex":[0.9975059,0.0005247529,0.0004488829,0.0001175936,0.001032055,0.0003708272],"domain_scores_gemma":[0.9964578,0.001603013,0.0005996675,0.0001216467,0.001064565,0.000153311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004564986,0.00005807887,0.009995253,0.00002237131,0.00003329807,0.000005141957,0.5204985,0.000001148111,0.0008496299,0.0001761949,0.0115269,0.4567878],"study_design_scores_gemma":[0.0006270007,0.0001730872,0.09850187,0.0001650803,0.0001577271,0.00001691049,0.09824388,0.0001011376,0.0005678321,0.006844203,0.7943091,0.0002921961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327671,0.002372118,0.0005919496,0.04879691,0.01493586,0.0003266096,0.000001223526,0.00001277231,0.0001954944],"genre_scores_gemma":[0.967131,0.001351337,0.002982234,0.0007143858,0.02773642,0.00001680635,3.025069e-7,0.00001765553,0.00004988024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7827822,"threshold_uncertainty_score":0.9508565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09375504840778189,"score_gpt":0.3886940061016362,"score_spread":0.2949389576938543,"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."}}