{"id":"W4235387577","doi":"10.1002/ange.200453769","title":"Pseudodynamic Combinatorial Libraries: A Receptor‐Assisted Approach for Drug Discovery","year":2004,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Dipeptide; Stereochemistry; Combinatorial chemistry; Peptide; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003225853,0.0005687244,0.000422502,0.0006069124,0.000226486,0.0009952969,0.0006980128,0.0004617923,0.001964875],"category_scores_gemma":[0.0002992735,0.0003133116,0.0003484562,0.000541325,0.0003730612,0.0004382024,0.0005067847,0.0006569091,0.001041496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781179,"about_ca_system_score_gemma":0.0003995956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224505,"about_ca_topic_score_gemma":0.0004174222,"domain_scores_codex":[0.9996922,0.0000640811,0.00001374302,0.00004530556,0.0001434281,0.00004124791],"domain_scores_gemma":[0.9999108,0.00001852417,0.0000177645,0.00001658815,0.00001328493,0.00002309395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004807287,0.0002513024,0.0001142849,0.0002099598,0.00004444075,0.0002179845,0.00004616543,0.00510065,0.9160191,0.006624267,0.001485456,0.06940567],"study_design_scores_gemma":[0.0001830343,0.0008717625,0.0002551911,0.00001442294,0.00004864666,0.0003822439,0.0000160352,0.02166185,0.9566887,0.001204567,0.0186351,0.0000383404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5765692,0.008053032,0.3765512,0.001187888,0.0006060938,0.001295436,0.002219511,0.004500618,0.02901704],"genre_scores_gemma":[0.8495399,0.004773767,0.1234643,0.0005768557,0.00009004886,0.0009630182,0.001439112,0.0002037087,0.01894931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001964875,"threshold_uncertainty_score":0.006573141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009428987097387867,"score_gpt":0.22124228701913,"score_spread":0.2118132999217421,"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."}}