{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006854053,0.0005129145,0.001999047,0.0004563362,0.00004315094,0.0001242453,0.001910764,0.0008068046,0.00001641025],"category_scores_gemma":[0.00005120686,0.0004585649,0.000329151,0.0007187439,0.0001103079,0.0008582377,0.001505026,0.001467958,0.0003298603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564875,"about_ca_system_score_gemma":0.000766731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002097297,"about_ca_topic_score_gemma":0.000003518652,"domain_scores_codex":[0.9963311,0.0009317638,0.0008889523,0.0009501158,0.0004029679,0.0004951129],"domain_scores_gemma":[0.9982268,0.000574327,0.0003252738,0.0007020292,0.00002389518,0.000147657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000353301,0.0001930892,0.000003426967,0.00123019,0.00003559246,0.000225598,0.0005236483,0.00002758948,1.796445e-7,0.6765604,0.004274693,0.3169221],"study_design_scores_gemma":[0.0002888532,0.00003039739,8.792244e-7,0.001935751,0.00001690635,0.0008537219,0.00005437251,0.0007072715,0.0001527187,0.004960841,0.9904138,0.0005845136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009295094,0.9898438,0.006190951,0.0000829944,0.001139716,0.0005383657,0.000008485067,0.0001072395,0.002079092],"genre_scores_gemma":[0.000114185,0.9802171,0.0183381,0.0001885017,0.0001287516,0.0003717432,0.00005854981,0.00005857228,0.000524496],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9861391,"threshold_uncertainty_score":0.9997866,"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."}}