{"id":"W4322711400","doi":"10.2196/43126","title":"Extended Family Outreach in Hereditary Cancer Using Web-Based Genealogy, Direct-to-Consumer Ancestry Genetics, and Social Media: Mixed Methods Process Evaluation of the ConnectMyVariant Intervention","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Washington; Brigham Young University","keywords":"Outreach; Genealogy; Genetics; Hereditary Cancer; Social media; World Wide Web; Sociology; Biology; Computer science; Cancer; History; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009442116,0.000179493,0.000230066,0.000125691,0.00009362377,0.00001533799,0.0002002189,0.0002022492,0.00003182414],"category_scores_gemma":[0.0001196838,0.0001607276,0.0000886691,0.0004910128,0.0001653939,0.000007706863,0.0001098808,0.0001214993,7.060556e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414831,"about_ca_system_score_gemma":0.001016019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00032953,"about_ca_topic_score_gemma":0.005368123,"domain_scores_codex":[0.9981217,0.0004870735,0.0003540895,0.0004658126,0.0003145799,0.0002567828],"domain_scores_gemma":[0.9991201,0.00004783231,0.0001939955,0.0002520404,0.0003434854,0.00004260849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002724851,0.0001478673,0.03551066,0.0003184825,0.0002553293,0.000002399674,0.001791865,0.03401092,0.7004531,0.000006238476,0.002940785,0.2242899],"study_design_scores_gemma":[0.004344219,0.00008072041,0.5135144,0.000271305,0.0003514569,0.000003830728,0.002145144,0.05803331,0.4177367,0.0002928476,0.002676403,0.0005496725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990572,0.006641359,0.0002080646,0.0003853838,0.001233696,0.0006749226,0.0002233857,0.00001562085,0.00004559878],"genre_scores_gemma":[0.996945,0.0001935342,0.00103442,0.0001736915,0.0003304534,0.001201393,0.00006922235,0.00003575143,0.00001659387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4780037,"threshold_uncertainty_score":0.6554281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0798933172292253,"score_gpt":0.4376489823367275,"score_spread":0.3577556651075022,"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."}}