{"id":"W2909519046","doi":"10.1002/slct.201803159","title":"Schiff Bases of Tetrahydrocurcumin as Potential Anticancer Agents","year":2019,"lang":"en","type":"article","venue":"ChemistrySelect","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"HeLa; Curcumin; Chemistry; In vitro; Metabolite; Pharmacology; Cell culture; Stereochemistry; A549 cell; Active metabolite; Combinatorial chemistry; Biochemistry; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007476756,0.0001603245,0.0001761583,0.0000241029,0.00003441242,0.00001093576,0.0003123939,0.000169264,0.0008803665],"category_scores_gemma":[0.00009690125,0.0001596047,0.0001178704,0.0001912648,0.0001428016,0.000002840335,0.0001048622,0.00009920054,0.0001138082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001679361,"about_ca_system_score_gemma":0.0001493447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002166541,"about_ca_topic_score_gemma":0.000001232331,"domain_scores_codex":[0.9988526,0.0000120005,0.0002320133,0.0004115171,0.0002304635,0.0002614612],"domain_scores_gemma":[0.9991791,0.00001176318,0.0001056066,0.0004940082,0.00008826963,0.0001213127],"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":[0.00003733109,0.00010929,0.0021553,0.00006464322,0.00005168487,0.000001404853,0.000007003926,0.00000710815,0.9918639,0.00002105862,0.004398684,0.001282589],"study_design_scores_gemma":[0.000474683,0.00009133142,0.0009488681,0.0000169195,0.00002382076,0.00002408917,0.00002084535,0.00007298531,0.9570137,0.00005546028,0.04108276,0.0001745385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899944,0.0002517677,0.000432118,0.0001466155,0.00007015277,0.0001773765,0.0000400333,0.00001748544,0.008870068],"genre_scores_gemma":[0.9955738,0.00006195719,0.0002686263,0.000155158,0.000198105,0.00002521539,0.0002720264,0.00002407179,0.003421056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03668408,"threshold_uncertainty_score":0.9639396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003363140702283589,"score_gpt":0.2467366490186464,"score_spread":0.2433735083163628,"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."}}