{"id":"W2949294190","doi":"10.1002/chin.200535279","title":"Toward the Library Generation of Natural Product Like Polycyclic Derivatives by Stereocontrolled Diversity‐Oriented Synthesis","year":2005,"lang":"en","type":"article","venue":"ChemInform","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Chemistry; Natural product; Diversity (politics); Combinatorial chemistry; Product (mathematics); Stereochemistry; Natural (archaeology); Organic chemistry; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001704223,0.0002601035,0.0003293162,0.00002793914,0.000161114,0.00003740163,0.000565827,0.000121843,0.001835725],"category_scores_gemma":[0.0005598702,0.0001945896,0.0001535624,0.0001850217,0.0001861347,0.000383816,0.0004212973,0.0002303948,0.00001181138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008561362,"about_ca_system_score_gemma":0.00006798306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008000154,"about_ca_topic_score_gemma":5.600691e-7,"domain_scores_codex":[0.9986358,0.000003695617,0.0004214124,0.0003103691,0.0003369386,0.000291782],"domain_scores_gemma":[0.9986163,0.0003632643,0.0002931432,0.0006077295,0.00003752537,0.00008205992],"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":[0.00009393261,0.00007698179,0.0002739717,0.0000891868,0.0001342672,7.364945e-7,0.002308661,2.078048e-7,0.8434244,0.000008990982,0.01580893,0.1377797],"study_design_scores_gemma":[0.0005513533,0.000004445152,0.00003803079,0.00003506552,0.00006679861,0.00001263086,0.0008049531,0.0001642505,0.9705945,0.000007280445,0.02750857,0.0002121168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8115004,0.002119994,0.00003076009,0.004591005,0.0002648805,0.0003281068,0.0001056376,0.000285791,0.1807735],"genre_scores_gemma":[0.9827118,0.00005714404,0.0009969588,0.0001459483,0.0005045084,0.00003390785,0.00006765634,0.00003050811,0.01545158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1712114,"threshold_uncertainty_score":0.9990767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064263140326023,"score_gpt":0.2330627278174999,"score_spread":0.2124200964142397,"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."}}