{"id":"W2472199387","doi":"10.1021/ac022079r","title":"Peer Reviewed: Prometrics Approaches in Drug Discovery","year":2002,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada","funders":"","keywords":"Chemistry; Drug discovery; Drug; Peer review; Computational biology; Pharmacology; Nanotechnology; Biochemistry","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":[0.001624684,0.0006333847,0.002050733,0.0003294729,0.00004830015,0.0005012735,0.002350499,0.0003415501,0.00007743028],"category_scores_gemma":[0.002030968,0.0005336505,0.0008520633,0.00400858,0.0001099664,0.0006132433,0.0009874298,0.001124795,0.0001469037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258254,"about_ca_system_score_gemma":0.0004128659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005219686,"about_ca_topic_score_gemma":4.470651e-7,"domain_scores_codex":[0.9954023,0.0003017569,0.001180544,0.001315758,0.001231275,0.0005683414],"domain_scores_gemma":[0.9965505,0.001436294,0.0003599196,0.001312192,0.0001201896,0.0002209001],"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":[5.867409e-7,0.0002443913,0.000003741718,0.01863134,0.0000885388,0.0001029583,0.00003229222,0.000132612,2.908608e-8,0.006138124,0.004671687,0.9699537],"study_design_scores_gemma":[0.00009450494,0.000004801941,0.000002913151,0.003852602,0.0001846514,0.00006909145,0.000004712771,0.01999663,0.000002116507,0.001123269,0.9740008,0.0006638726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002208596,0.9600014,0.01513945,0.0002443427,0.000110434,0.0003619077,0.00002004371,0.0000749325,0.02404528],"genre_scores_gemma":[0.00001354693,0.9707818,0.009442308,0.00004641836,0.0002357698,0.00009587804,0.00009279558,0.00004451951,0.01924697],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9693291,"threshold_uncertainty_score":0.9997115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699947463810699,"score_gpt":0.3694919698162381,"score_spread":0.1994972234351682,"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."}}