{"id":"W2114071408","doi":"10.1016/j.exphem.2015.02.007","title":"Drug discovery in academia","year":2015,"lang":"en","type":"review","venue":"Experimental Hematology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Drug discovery; Clinical trial; Repurposing; Drug development; Identification (biology); Drug repositioning; Drug; Data science; Business; Medicine; Risk analysis (engineering); Computer science; Pharmacology; Engineering; Bioinformatics; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005888168,0.001140341,0.001607611,0.003225528,0.001173103,0.005428557,0.002302848,0.003223428,0.0224588],"category_scores_gemma":[0.006600094,0.0004533332,0.0008591072,0.005546754,0.003042531,0.006421734,0.004129073,0.004473147,0.01198987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358088,"about_ca_system_score_gemma":0.008946913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488281,"about_ca_topic_score_gemma":0.001635695,"domain_scores_codex":[0.9972705,0.0009071703,0.0002079592,0.0003115841,0.001116026,0.0001867476],"domain_scores_gemma":[0.995703,0.002251691,0.0003224087,0.0005716213,0.0007216817,0.0004296252],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003220907,0.0001209083,0.0003448798,0.01052031,0.00009084816,0.0001278489,0.0002564152,0.0009159828,0.001241756,0.2303315,0.07467274,0.6813447],"study_design_scores_gemma":[0.00001124725,0.00003717116,0.0001538934,0.001726924,0.00001151643,0.0001475625,0.00007037359,0.0001738676,0.000304595,0.01861863,0.9787343,0.000009968103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001115239,0.8647221,0.01568091,0.01784919,0.003107841,0.0001839326,0.0003308306,0.0003755998,0.09663439],"genre_scores_gemma":[0.01300724,0.9507285,0.01211544,0.00541735,0.001580881,0.000212411,0.0004480803,0.00007749192,0.0164126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9941118,"threshold_uncertainty_score":0.07513213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08169816978436686,"score_gpt":0.4371984659193188,"score_spread":0.3555002961349519,"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."}}