{"id":"W2736160420","doi":"","title":"Spaces of convergence in a cancer clinical genomics trial: a survey examining genomic literacy among medical oncologists in British Columbia","year":2017,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomics; Literacy; Convergence (economics); Medicine; Family medicine; Data science; Oncology; Computational biology; Gerontology; Biology; Genetics; Psychology; Computer science; Genome; Economic growth; Gene; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01165386,0.0001705115,0.0006920755,0.002097112,0.01052484,0.005985034,0.001621668,0.001655801,0.003414565],"category_scores_gemma":[0.03243268,0.000663056,0.0002004396,0.003747298,0.00568736,0.002617992,0.006881972,0.003748274,0.0003243202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02233529,"about_ca_system_score_gemma":0.05092604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6865972,"about_ca_topic_score_gemma":0.7438887,"domain_scores_codex":[0.9850633,0.007320612,0.001097188,0.0009094073,0.002873068,0.002736525],"domain_scores_gemma":[0.9593511,0.0198617,0.004920166,0.0007895903,0.005547735,0.009529678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001230723,0.0002180049,0.1772974,0.0002247048,0.0000263853,0.00129979,0.7954311,0.00006509328,0.001051917,0.001001525,0.003062716,0.02019818],"study_design_scores_gemma":[0.000009299346,0.00007956508,0.09952565,0.0002700227,0.000009284052,0.0001732506,0.8916309,0.0001528283,0.0001278013,0.0001923332,0.007790217,0.0000388201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919016,0.0004819558,0.0001418559,0.004206704,0.00001278335,0.00006749757,0.00007994405,0.000006102351,0.00310151],"genre_scores_gemma":[0.9956737,0.0007142089,0.0002395861,0.002100512,0.000007190424,0.0001036307,0.00008779953,0.00001407425,0.001059206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3134028,"threshold_uncertainty_score":0.630497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057724345534223,"score_gpt":0.3336558933829406,"score_spread":0.2930786499275984,"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."}}