{"id":"W2261177298","doi":"10.7554/elife.12844","title":"Why clinical translation cannot succeed without failure","year":2015,"lang":"en","type":"article","venue":"eLife","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Drug development; Risk analysis (engineering); Process (computing); Health care; Translational research; Computer science; Data science; Process management; Medicine; Engineering ethics; Drug; Business; Engineering; Political science; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719885,0.00008298865,0.00009588824,0.00001433212,0.000030056,0.00001755719,0.00009887993,0.0001105249,0.0000109797],"category_scores_gemma":[0.00006823603,0.00007385122,0.00008040842,0.00003181622,0.00003833032,0.000001952463,0.00002503467,0.00005108003,0.00002421439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004678706,"about_ca_system_score_gemma":0.0001262272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004458132,"about_ca_topic_score_gemma":0.000212865,"domain_scores_codex":[0.9993556,0.00004298497,0.0001664783,0.000202075,0.0001066409,0.0001262477],"domain_scores_gemma":[0.9994864,0.000004184702,0.00004066989,0.0001884776,0.0001015629,0.000178667],"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":[0.0007053369,0.0003900382,0.2070439,0.00002445745,0.0002338044,0.00002871905,0.0002858662,0.0002944444,0.08950119,0.0001701648,0.6899692,0.01135288],"study_design_scores_gemma":[0.00105705,0.0001989141,0.006611619,0.000004111212,0.00002518981,0.000009862133,0.0001015634,0.0001102971,0.008386943,0.00003119247,0.9832877,0.0001755793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955839,0.0008958112,0.0007715418,0.001131819,0.0002634635,0.0001090649,0.00002801701,0.0000142219,0.001202141],"genre_scores_gemma":[0.995999,0.00005556288,0.0009306142,0.002002512,0.0005547483,0.000005985431,0.0001977856,0.00001458532,0.0002391417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2933185,"threshold_uncertainty_score":0.3011566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680880997617463,"score_gpt":0.3246711517254431,"score_spread":0.2778623417492685,"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."}}