{"id":"W2331331492","doi":"10.1038/nrd.2016.33","title":"Putting translational science on to a global stage","year":2016,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Drug Research and Development","funders":"National Institutes of Health","keywords":"Translational science; Translational research; Translational medicine; Psychological intervention; Translation (biology); Computer science; Data science; Scientific discovery; Medical science; Engineering ethics; Medicine; Engineering; Biotechnology; Biology; Psychology; Medical education; Cognitive science","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001120375,0.0005495657,0.002142183,0.0003539307,0.0001814172,0.00005202137,0.0005706286,0.004952284,0.00009548551],"category_scores_gemma":[0.0006150011,0.0002879575,0.0008842704,0.001657013,0.0002882259,0.0002000336,0.0001140236,0.006012247,0.0008051913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266609,"about_ca_system_score_gemma":0.00107044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001183508,"about_ca_topic_score_gemma":0.000001999758,"domain_scores_codex":[0.9970721,0.0001193895,0.0007933555,0.0009364067,0.0005752248,0.0005035091],"domain_scores_gemma":[0.9984117,0.0001300441,0.0003487331,0.0008305283,0.00006773358,0.0002112883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001337654,0.00005297293,0.000002447485,0.007648231,0.00006987118,0.00003469484,0.000007556818,7.490658e-8,0.000001676838,0.01994076,0.003322806,0.9689055],"study_design_scores_gemma":[0.0001788178,0.00004736225,0.000006483902,0.08560059,0.0004156978,0.0001086889,0.00000144556,2.312789e-7,0.000005510468,0.00007957517,0.9132959,0.000259699],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001722149,0.9788113,0.000159088,0.00679966,0.000932531,0.00209656,0.0001782467,0.0000841501,0.01093676],"genre_scores_gemma":[0.000009359132,0.9913677,0.0007924551,0.002094951,0.0004118688,0.00007826368,0.00005026154,0.00003129355,0.005163861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9686458,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405556653046867,"score_gpt":0.3897149488118843,"score_spread":0.3656593822814156,"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."}}