{"id":"W4250433317","doi":"10.1158/2159-8290.cd-nb2015-136","title":"Open-Source Approach May Speed Drug Discovery","year":2015,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug discovery; Drug; Computational biology; Breast cancer; Anticancer drug; Leukemia; Computer science; Cancer; Medicine; Bioinformatics; Biology; Pharmacology; Immunology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279843,0.0002491061,0.0002667107,0.00005955076,0.00009127839,0.000569571,0.001124196,0.0001630775,0.00002171433],"category_scores_gemma":[0.0001702962,0.0001995803,0.000120658,0.0001684964,0.0003329346,0.00006963012,0.001279029,0.0001842755,0.00004746555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008242258,"about_ca_system_score_gemma":0.0007630744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003998432,"about_ca_topic_score_gemma":0.00008685255,"domain_scores_codex":[0.9980263,0.00007509209,0.0003348833,0.0004986895,0.0005143411,0.0005507213],"domain_scores_gemma":[0.9987103,0.00001448311,0.0001100303,0.0006484501,0.0001296737,0.0003870822],"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":[0.001491607,0.0009290313,0.02251387,0.0004726172,0.0005273115,0.00001559855,0.001345797,0.001644896,0.07779348,0.0006751835,0.8570238,0.03556686],"study_design_scores_gemma":[0.00351836,0.0004710293,0.002261944,0.00008744491,0.00006158359,0.00002111508,0.00315525,0.001049777,0.1013379,0.0003548228,0.8866923,0.0009883846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9087434,0.004587559,0.01624461,0.001665686,0.001377641,0.001055111,0.0003191126,0.00003872834,0.06596816],"genre_scores_gemma":[0.9023879,0.001214363,0.00085345,0.001239215,0.001078155,0.00006168689,0.0005067011,0.00005049133,0.09260805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03457848,"threshold_uncertainty_score":0.8138649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764530785284778,"score_gpt":0.3132687778626522,"score_spread":0.2756234700098045,"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."}}