{"id":"W2046220489","doi":"10.2174/157340606776056214","title":"Drug Evolution Concept in Drug Design: 2. Chimera Method","year":2006,"lang":"en","type":"article","venue":"Medicinal Chemistry","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drug; Drug discovery; Chimera (genetics); Computational biology; Computer science; Combinatorial chemistry; Chemistry; Biology; Bioinformatics; Pharmacology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00137889,0.0001981599,0.00025188,0.0000727259,0.00007151169,0.00005224437,0.0007033455,0.00005973449,0.00005471396],"category_scores_gemma":[0.000134998,0.0001948285,0.00006656015,0.0005838014,0.00008604876,0.0002867398,0.0001611903,0.000314915,0.00001508275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694507,"about_ca_system_score_gemma":0.0002660307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005412955,"about_ca_topic_score_gemma":0.000008300814,"domain_scores_codex":[0.9978822,0.0003010604,0.000385803,0.00051728,0.0005742943,0.0003393815],"domain_scores_gemma":[0.9986453,0.0006779058,0.0001224621,0.0003853476,0.00007501198,0.0000939812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001596988,0.001016463,0.003836669,0.0004010618,0.0000783157,0.0006988989,0.005505977,0.6493904,0.1429953,0.05837438,0.0588112,0.07873163],"study_design_scores_gemma":[0.001635776,0.00002366456,0.01112476,0.0001742808,0.00002019141,0.0001928963,0.0001937392,0.6635998,0.2376654,0.08218564,0.002576907,0.0006069294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02392546,0.0008301974,0.9682087,0.001288456,0.0002261744,0.0001264004,0.000002132718,0.0001161164,0.005276368],"genre_scores_gemma":[0.6941911,0.000001935384,0.3039214,0.0001618377,0.0003770681,0.00002300057,0.00001397594,0.00001200886,0.0012977],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6702656,"threshold_uncertainty_score":0.7944874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091555782630056,"score_gpt":0.2855292459592411,"score_spread":0.2746136881329406,"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."}}