{"id":"W3183288317","doi":"10.1002/wmh3.469","title":"Access to genetic testing for rare diseases: Existing gaps in public‐facing information","year":2021,"lang":"en","type":"article","venue":"World Medical & Health Policy","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Genetic testing; Reimbursement; Context (archaeology); CLARITY; Public health; Medicine; Government (linguistics); Rare disease; Health care; Business; Public policy; Disease; Internet privacy; Public relations; Political science; Economic growth; Nursing; Pathology; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03371422,0.0002644657,0.0007798768,0.005244789,0.001827041,0.006331105,0.001905772,0.002204568,0.02150238],"category_scores_gemma":[0.1304086,0.0004294295,0.0005338254,0.006347093,0.002666639,0.0134483,0.005350892,0.003116781,0.001141347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006561756,"about_ca_system_score_gemma":0.02542255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02950815,"about_ca_topic_score_gemma":0.03276571,"domain_scores_codex":[0.9791628,0.01128204,0.002110574,0.001002994,0.003858875,0.002582748],"domain_scores_gemma":[0.7661083,0.19643,0.01193718,0.003441689,0.01338332,0.008699518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005194581,0.0005210136,0.1440057,0.009271606,0.0002110545,0.001122408,0.01858488,0.002048747,0.0006958249,0.09176584,0.1003532,0.6309002],"study_design_scores_gemma":[0.0001492549,0.0003928269,0.1575434,0.04236441,0.0004070789,0.001759584,0.07292911,0.004886515,0.000984413,0.1337064,0.5845956,0.0002814519],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.139586,0.0453788,0.0074985,0.7524892,0.000562115,0.0001944872,0.006039711,0.0001206466,0.04813064],"genre_scores_gemma":[0.8855572,0.04240112,0.01055175,0.05557604,0.0008435628,0.0003546663,0.003009375,0.000101186,0.001605172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03371422,"threshold_uncertainty_score":0.1783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0572080731186063,"score_gpt":0.419624059164425,"score_spread":0.3624159860458187,"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."}}