{"id":"W2035276570","doi":"10.1002/chem.200400371","title":"Receptor‐Assisted Combinatorial Chemistry: Thermodynamics and Kinetics in Drug Discovery","year":2004,"lang":"en","type":"review","venue":"Chemistry - A European Journal","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University","funders":"","keywords":"Drug discovery; Kinetics; Combinatorial chemistry; Chemistry; Receptor–ligand kinetics; Receptor; Computational biology; Computer science; Biochemical engineering; Thermodynamics; Biology; Biochemistry; Physics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001666509,0.001683839,0.002784902,0.002726013,0.0005459751,0.002103981,0.002720212,0.002404151,0.002190909],"category_scores_gemma":[0.001196582,0.0009381374,0.0006493336,0.004366559,0.002817541,0.004220006,0.001310103,0.002923159,0.003038335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002770527,"about_ca_system_score_gemma":0.001359935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357619,"about_ca_topic_score_gemma":0.001171115,"domain_scores_codex":[0.9991627,0.0001948443,0.00006115533,0.0001340422,0.0003916256,0.00005567566],"domain_scores_gemma":[0.9994919,0.0002710598,0.00004541383,0.00003747358,0.0001141025,0.0000400323],"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":[0.0001334013,0.0001488311,0.0001370446,0.008637019,0.0001093163,0.0002605752,0.0001347901,0.005364043,0.006825267,0.09176157,0.02631764,0.8601706],"study_design_scores_gemma":[0.00004487581,0.0001272557,0.000225178,0.0009414002,0.00004765725,0.0008955899,0.00005244913,0.002094815,0.005546366,0.03411511,0.9558346,0.00007479027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000194278,0.9917169,0.004672813,0.0003430455,0.0003312763,0.00001094931,0.000008954353,0.00003630939,0.002685429],"genre_scores_gemma":[0.003601414,0.9901167,0.00294259,0.0003388468,0.0004938558,0.00003289517,0.0000196875,0.00001064807,0.002443398],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002784902,"threshold_uncertainty_score":0.02010167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116551175389059,"score_gpt":0.2428348872662636,"score_spread":0.231669375512373,"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."}}