{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918426,0.0002149519,0.0003651544,0.0001069721,0.00007152602,0.000005574613,0.000130943,0.0001508567,0.00004113258],"category_scores_gemma":[0.0000839139,0.000209804,0.0001050587,0.0001637597,0.0001412948,0.000003017932,0.0003560487,0.0001880776,1.467923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003720103,"about_ca_system_score_gemma":0.0001179822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002272944,"about_ca_topic_score_gemma":0.00003149725,"domain_scores_codex":[0.9981663,0.0003150686,0.000431256,0.0006248671,0.0001450196,0.0003174743],"domain_scores_gemma":[0.9991572,0.00002697494,0.0002562816,0.0004551287,0.00004131783,0.00006308742],"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":[0.0001294439,0.00003024907,0.07013878,0.0000501447,0.00008431844,0.0003660776,0.00003859833,0.009050533,0.9195376,0.000101412,0.0001473647,0.0003254458],"study_design_scores_gemma":[0.0008776871,0.000968112,0.001399695,0.00003825908,0.0000867298,0.000470392,0.00001735015,0.002198482,0.991713,0.0008117354,0.001016598,0.000401919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901363,0.007152585,0.00155482,0.00006131282,0.0002618127,0.0003552452,0.00003043138,0.00001238476,0.0004350907],"genre_scores_gemma":[0.9989467,0.0001039258,0.0002389487,0.000170744,0.00003285979,0.0002379758,0.0001152007,0.00003400827,0.0001195868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07217541,"threshold_uncertainty_score":0.8555559,"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."}}