{"id":"W4210600168","doi":"10.1007/s11033-022-07152-3","title":"Synergic effect of anticancer peptide CIGB-552 and Cisplatin in lung cancer models","year":2022,"lang":"en","type":"article","venue":"Molecular Biology Reports","topic":"NF-κB Signaling Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Université de Sherbrooke","funders":"","keywords":"Cisplatin; In vivo; Cancer research; Combination therapy; Apoptosis; Pharmacology; Chemistry; Concomitant; Lung cancer; Chemotherapy; Medicine; Oncology; Biology; Internal medicine; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002836153,0.0006306785,0.0007799771,0.0005319815,0.0002848768,0.0002880481,0.000411008,0.000573302,0.001328408],"category_scores_gemma":[0.0001351289,0.0002210083,0.0004113954,0.0003380942,0.0004188113,0.0004012679,0.000304357,0.001334638,0.0002678868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328952,"about_ca_system_score_gemma":0.0006850985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009589695,"about_ca_topic_score_gemma":0.001501385,"domain_scores_codex":[0.9997031,0.00006649202,0.00002177474,0.00005487823,0.00006545797,0.00008820522],"domain_scores_gemma":[0.9998741,0.00002145592,0.00001800732,0.00001505291,0.00001199832,0.00005933805],"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":[0.006289397,0.001771194,0.0006180452,0.0002778542,0.000076177,0.0003487788,0.00006288119,0.001076443,0.9817583,0.0004133269,0.0005719744,0.006735702],"study_design_scores_gemma":[0.0007206066,0.01418839,0.003198699,0.00001948704,0.0002085716,0.0003787785,0.0001020561,0.002080716,0.9741105,0.0001572776,0.004809346,0.00002553781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934289,0.002314159,0.001236666,0.0002356381,0.0002486775,0.0001739779,0.0004018164,0.00009928217,0.001860925],"genre_scores_gemma":[0.9958091,0.001248183,0.0007900052,0.0000604241,0.00003881748,0.0001477239,0.0002826682,0.000008170372,0.001614965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328408,"threshold_uncertainty_score":0.004443944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00487324991664894,"score_gpt":0.2720904246533367,"score_spread":0.2672171747366878,"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."}}