{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001617373,0.0005776676,0.0009654757,0.0009070475,0.0003783056,0.001054935,0.001162605,0.001128998,0.003134137],"category_scores_gemma":[0.001719558,0.0004248579,0.001251406,0.0008459867,0.001260749,0.001106656,0.001236693,0.001651716,0.000975738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067958,"about_ca_system_score_gemma":0.001275513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007988837,"about_ca_topic_score_gemma":0.0004806707,"domain_scores_codex":[0.999227,0.0003836307,0.00003631752,0.00009322492,0.0002178611,0.00004186912],"domain_scores_gemma":[0.9996508,0.0001860759,0.00003076189,0.00005531361,0.00004791804,0.00002908877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002086545,0.00008795021,0.0005395288,0.0005464217,0.0001571355,0.0002239541,0.0001572211,0.1603845,0.01335126,0.6622669,0.004169757,0.1579067],"study_design_scores_gemma":[0.0001964026,0.0001837408,0.0001960953,0.0001192843,0.00008924084,0.0007414376,0.00003186778,0.7172674,0.0117023,0.1814954,0.08790702,0.0000698068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002915197,0.002138444,0.9872274,0.0005240385,0.00007595785,0.0001026151,0.00007109198,0.0004729735,0.006472228],"genre_scores_gemma":[0.08105963,0.00274059,0.9109434,0.0004264562,0.00006458502,0.0005006021,0.0001605163,0.0001856712,0.003918537],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003134137,"threshold_uncertainty_score":0.0104847,"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."}}