{"id":"W2895657796","doi":"10.1534/genetics.118.301572","title":"Philip Hieter: 2018 George W. Beadle Award","year":2018,"lang":"en","type":"article","venue":"Genetics","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Biology; Genetics; Human genetics; Environmental ethics; Genealogy; Gene; Art history; History; Philosophy","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":[0.00208694,0.0006615527,0.0006362795,0.001085517,0.0018187,0.00456518,0.000885843,0.003484843,0.2583358],"category_scores_gemma":[0.006068387,0.0003254333,0.0003795984,0.0006349731,0.0006993922,0.0022854,0.003468055,0.004108669,0.1591191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479505,"about_ca_system_score_gemma":0.005991796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244523,"about_ca_topic_score_gemma":0.00998753,"domain_scores_codex":[0.9983932,0.0001343964,0.00004805932,0.0002193765,0.0008832312,0.000321603],"domain_scores_gemma":[0.9936651,0.0002564545,0.0001541161,0.0002093151,0.001682564,0.004032545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001063207,0.00000880383,0.00006477422,0.00001014945,0.000001153952,0.00004231976,0.00001371217,0.00001722717,0.00006502296,0.002725603,0.9794002,0.01764042],"study_design_scores_gemma":[0.000003542323,0.000008037766,0.0001600541,0.0000265144,0.000001029777,0.00007586885,0.00002698176,0.0000274115,0.00005579379,0.0006838552,0.9989269,0.000003866196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001454747,0.01771321,0.00284368,0.3170902,0.2161956,0.0001490417,0.001371406,0.0009699023,0.4422122],"genre_scores_gemma":[0.004850984,0.005169638,0.0006741501,0.01018279,0.00512872,0.00003662093,0.0003865251,0.0002135293,0.9733571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2583358,"threshold_uncertainty_score":0.8642193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567444408206883,"score_gpt":0.2660774743425798,"score_spread":0.250403030260511,"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."}}