{"id":"W2024295995","doi":"10.1021/ma001916t","title":"Toward Polymeric Anticancer Drug Cocktails from Ring-Opening Metathesis Polymerization","year":2001,"lang":"en","type":"article","venue":"Macromolecules","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Citation; Metathesis; ROMP; Computer science; Watson; Library science; Polymerization; World Wide Web; Chemistry; Artificial intelligence; Polymer; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001587043,0.000358938,0.000430126,0.00004910515,0.0001393052,0.0001246441,0.0005119761,0.000137065,0.0108762],"category_scores_gemma":[0.000297096,0.0003746925,0.0001612828,0.00032378,0.0001349733,0.0001078062,0.000173548,0.0002094372,0.0001184713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000971226,"about_ca_system_score_gemma":0.00007102333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006595821,"about_ca_topic_score_gemma":0.000006464117,"domain_scores_codex":[0.9979376,0.0000732298,0.0004274628,0.0006462631,0.0004087873,0.0005066442],"domain_scores_gemma":[0.998602,0.0002991535,0.0002078606,0.000667464,0.00004190714,0.0001816387],"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":[0.00003625325,0.00005764261,0.003273148,0.00003280221,0.0001183873,0.0000979656,0.0004996001,0.000003386719,0.9722401,0.00003486083,0.00005502605,0.02355076],"study_design_scores_gemma":[0.0004589272,0.000004421687,0.0003672696,0.00008247614,0.000144494,0.0000676346,0.000639468,0.0003612638,0.9949027,0.0002697306,0.002264326,0.0004373018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512215,0.002207536,0.01000002,0.0006585439,0.0001675116,0.00006417061,0.00006950819,0.0003353959,0.03527577],"genre_scores_gemma":[0.9885342,0.0001742969,0.008640077,0.0001789467,0.0003247581,0.00002552776,0.00006492803,0.0001003165,0.001956959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03731265,"threshold_uncertainty_score":0.9998705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027208521172449,"score_gpt":0.264769902249563,"score_spread":0.2444978170378385,"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."}}