{"id":"W3082153070","doi":"10.2174/0929867327666200831141337","title":"Perspectives on Drug Repurposing","year":2020,"lang":"en","type":"article","venue":"Current Medicinal Chemistry","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Repurposing; Drug repositioning; Drug development; Risk analysis (engineering); Business; SAFER; Government (linguistics); Clinical trial; Drug; Investment (military); Public economics; Pharmacology; Actuarial science; Medicine; Economics; Computer science; Computer security; Engineering; Political 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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00005912796,0.0001305751,0.0002054201,0.00001835571,0.00006007044,0.000003631529,0.00008942594,0.0005768554,0.0004040978],"category_scores_gemma":[0.0002399196,0.0001007814,0.0000764057,0.0001530695,0.0001861497,0.0000155881,0.00002960378,0.002944998,0.0000621909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003954838,"about_ca_system_score_gemma":0.000052017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.008633e-7,"about_ca_topic_score_gemma":1.377769e-8,"domain_scores_codex":[0.9991632,0.000007395075,0.0001510579,0.0003091789,0.0001982152,0.0001710229],"domain_scores_gemma":[0.9994917,0.00002475839,0.0000497482,0.0001863413,0.00004230097,0.0002051776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00313509,0.00185546,0.005377415,0.004367678,0.0006975762,0.001493476,0.03085168,0.000008683054,0.5784703,0.003497202,0.1988638,0.1713815],"study_design_scores_gemma":[0.00384294,0.0004854804,0.0007105345,0.002068376,0.0004313071,0.0004807053,0.0115006,0.0004701189,0.5938019,0.0001162672,0.3856157,0.0004761266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7342207,0.03617843,0.0002338758,0.1885781,0.000476986,0.0002531738,0.000004171226,0.0004981787,0.03955633],"genre_scores_gemma":[0.9961071,0.001593731,0.00006536785,0.001096831,0.0007742326,0.000004539442,0.00001489631,0.0000123455,0.0003309649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2618863,"threshold_uncertainty_score":0.9993553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076580373048864,"score_gpt":0.2841756807961262,"score_spread":0.2634098770656376,"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."}}