{"id":"W4241211657","doi":"10.2196/13984","title":"Awareness, knowledge, perceived benefits, and barriers regarding precision medicine and willingness to participate in a national registry: Comparison of cancer patients and the general population (Preprint)","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cancer registry; Precision medicine; Population; Cancer; Medicine; Family medicine; Psychology; Environmental health; Computer science; World Wide Web; Pathology; Internal medicine","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":[0.001142622,0.0001604214,0.0005091946,0.0008453776,0.0005833202,0.001162228,0.0002933023,0.0007342891,0.003698591],"category_scores_gemma":[0.006540966,0.0002647864,0.0007193417,0.0009545712,0.0003584997,0.001080794,0.0008108976,0.0009791445,0.0003158215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561864,"about_ca_system_score_gemma":0.0005008161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005948808,"about_ca_topic_score_gemma":0.003676664,"domain_scores_codex":[0.9993502,0.0001854627,0.00008843978,0.00009458255,0.0001326779,0.0001485476],"domain_scores_gemma":[0.9965384,0.001156855,0.001198843,0.0001557545,0.0002544643,0.0006956848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002800039,0.0003305709,0.9960938,0.00002180154,0.00008180315,0.00004316033,0.0006460291,0.00003434646,0.0001108871,0.00002243677,0.0001442776,0.002190784],"study_design_scores_gemma":[0.00002577098,0.0003852932,0.996771,0.00000876631,0.00006374808,0.0001309409,0.002199092,0.0001885016,0.00004198253,0.00003370397,0.0001417031,0.000009365282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992281,0.00006107995,0.00002123731,0.00009373191,0.000004292282,0.000008144621,0.0001614644,0.000001754487,0.0004201175],"genre_scores_gemma":[0.9996141,0.00004603302,0.00002221817,0.00004822393,0.000005920418,0.000007710782,0.0001171583,9.217125e-7,0.0001375867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005948808,"threshold_uncertainty_score":0.01237303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168991541972476,"score_gpt":0.3491952850921154,"score_spread":0.3275053696723907,"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."}}