{"id":"W2766665985","doi":"10.1007/s13659-017-0143-9","title":"Synthesis and Cytotoxic Activity of Novel Tetrahydrocurcumin Derivatives Bearing Pyrazole Moiety","year":2017,"lang":"en","type":"article","venue":"Natural Products and Bioprospecting","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"South China Sea Institute of Oceanology, Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of Oceanology, Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Pyrazole; HeLa; Curcumin; Chemistry; IC50; Thiazole; Metabolite; Stereochemistry; MCF-7; MTT assay; Cell growth; Pharmacology; Cancer cell; In vitro; Cancer; Biochemistry; Biology; Medicine; Human breast; Internal medicine","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":[0.0001938053,0.0001412043,0.0001662281,0.00002723339,0.0004215429,0.00006836798,0.0001691679,0.0001042537,0.000001478114],"category_scores_gemma":[0.0007804767,0.0001156122,0.00002980982,0.00006476398,0.0004186446,0.00001915178,0.0003148552,0.0001458204,2.71665e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008573972,"about_ca_system_score_gemma":0.00001803861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009810071,"about_ca_topic_score_gemma":0.00001958144,"domain_scores_codex":[0.999089,0.000005373148,0.0001412014,0.0004696918,0.0001112355,0.0001835118],"domain_scores_gemma":[0.9992555,0.00002105161,0.000198939,0.0003867171,0.00008317083,0.00005457456],"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":[0.00002046321,0.00005754871,0.007310847,0.0000691558,0.00002890929,3.008629e-7,0.0000527808,1.444544e-7,0.9777222,0.0001441465,0.00001045883,0.01458301],"study_design_scores_gemma":[0.0002117861,0.0000382886,0.1141052,0.00002900423,0.00001393371,0.00001799077,0.00004506292,0.0001285142,0.8848795,0.00005697142,0.0003353431,0.0001383969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978099,0.0006506644,0.00009382902,0.0009785615,0.00006791491,0.0002156509,0.00001684157,0.00001267126,0.0001538957],"genre_scores_gemma":[0.9973802,0.00008606256,0.002050785,0.00001562904,0.0002360608,0.00001348136,0.000004892285,0.00001273495,0.0002001281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1067943,"threshold_uncertainty_score":0.4714527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671675144963063,"score_gpt":0.2723776466721305,"score_spread":0.2556608952224999,"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."}}