{"id":"W3166142292","doi":"10.2196/27063","title":"Gaps in Public Awareness About BRCA and Genetic Testing in Prostate Cancer: Social Media Landscape Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prostate Cancer Foundation","keywords":"Social media; Breast cancer; Genetic testing; Medicine; Social media analytics; Population; BRCA mutation; Cancer; Oncology; Internal medicine; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001690623,0.0002010937,0.0002862416,0.00347322,0.0005980021,0.002069157,0.0004175028,0.0005193155,0.002443753],"category_scores_gemma":[0.00979017,0.0001637557,0.0003819486,0.003675031,0.0004425546,0.003535626,0.002154413,0.0005887541,0.0004575845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007755561,"about_ca_system_score_gemma":0.0006372668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125,"about_ca_topic_score_gemma":0.01329311,"domain_scores_codex":[0.9987013,0.0005249223,0.0001050794,0.0002116978,0.0002445256,0.0002124078],"domain_scores_gemma":[0.9925076,0.004115473,0.001718882,0.0002508006,0.0009822742,0.000424911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002255968,0.0001092071,0.8790914,0.000867455,0.0001815787,0.0004697967,0.03691132,0.0004139305,0.001006102,0.003254762,0.01075063,0.06671821],"study_design_scores_gemma":[0.00001062237,0.00009821766,0.8913379,0.0006544745,0.0001135784,0.000379518,0.07150201,0.004444217,0.0004786379,0.001654291,0.02927115,0.00005549091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798465,0.0009871251,0.0008483466,0.003485854,0.00004104683,0.00009948249,0.008068567,0.00003326956,0.006589843],"genre_scores_gemma":[0.9950198,0.0006491666,0.0005863359,0.0003289801,0.0000609737,0.0001255198,0.002563512,0.00001948409,0.0006462335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01125,"threshold_uncertainty_score":0.02236903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190612192860681,"score_gpt":0.31209909833563,"score_spread":0.2901929764070232,"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."}}