{"id":"W2588389646","doi":"10.1093/annonc/mdw387.16","title":"Clinicians identify high need to increase their genomic literacy to applied cancer genomics","year":2016,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Simon Fraser University; BC Cancer Agency","funders":"","keywords":"Genomics; Medicine; Literacy; Personalized medicine; Cancer; Family medicine; Bioinformatics; Genome; Internal medicine; Genetics; Gene; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004803954,0.0002767222,0.0004564493,0.001277445,0.002367074,0.003874645,0.0006082356,0.003585169,0.03117596],"category_scores_gemma":[0.05122891,0.0003345585,0.0003745902,0.0007162198,0.001945597,0.0031479,0.004273348,0.005472907,0.005666355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099547,"about_ca_system_score_gemma":0.004768969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008188663,"about_ca_topic_score_gemma":0.001487022,"domain_scores_codex":[0.9960263,0.001728854,0.0002563992,0.0001863287,0.001115503,0.0006866526],"domain_scores_gemma":[0.9594021,0.02191745,0.004931547,0.0009716316,0.004650627,0.008126714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004412518,0.001135129,0.3263541,0.001703321,0.0001429566,0.01711879,0.02716201,0.0004159953,0.006953868,0.009613303,0.2970269,0.3119324],"study_design_scores_gemma":[0.0002084657,0.000898671,0.1684168,0.004491761,0.0003482029,0.04235249,0.08346883,0.001283127,0.004249965,0.06434918,0.6296468,0.0002857274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.291252,0.01035356,0.004369025,0.6206467,0.002214286,0.0001946812,0.0004398697,0.0003570287,0.07017294],"genre_scores_gemma":[0.7384913,0.009603779,0.01062388,0.2279872,0.002136939,0.000206069,0.0004690629,0.0001800454,0.01030166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03117596,"threshold_uncertainty_score":0.104294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338826804039761,"score_gpt":0.3683656092725381,"score_spread":0.3349773412321405,"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."}}