{"id":"W2980653519","doi":"10.1101/810200","title":"Paradigm of Vanadium pentoxide nanoparticle-induced autophagy and apoptosis in triple-negative breast cancer cells","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Science Education and Research Mohali; Department of Science and Technology, Ministry of Science and Technology, India; RMIT University; Goa University; Ontario Ministry of Natural Resources and Forestry","keywords":"Autophagy; Nanomedicine; Cancer cell; Apoptosis; Cancer; Breast cancer; Cancer research; Cell biology; Chemistry; Medicine; Biology; Nanotechnology; Nanoparticle; Materials science; Internal medicine; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108068,0.000200448,0.0002289144,0.0001394229,0.0001535933,0.0002550774,0.0001973575,0.0002707188,0.0009386712],"category_scores_gemma":[0.00005209172,0.000109831,0.0002284997,0.000137102,0.0001614294,0.0001263673,0.0001336449,0.0003342885,0.0002351228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387598,"about_ca_system_score_gemma":0.0001961458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008257043,"about_ca_topic_score_gemma":0.0008976794,"domain_scores_codex":[0.9998815,0.00001885803,0.000009874329,0.00003019802,0.00004152976,0.00001800465],"domain_scores_gemma":[0.9999772,0.000004236348,0.00000496294,0.000003560948,0.000006679894,0.00000334222],"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":[0.0001228054,0.00002400138,0.0001321339,0.00008357093,0.000007505705,0.0001199846,0.00002955319,0.0002204349,0.9969335,0.0007441037,0.0001325857,0.001449868],"study_design_scores_gemma":[0.000009906819,0.0001136749,0.0005629503,0.000004222256,0.000006821583,0.0001877149,0.00002628131,0.001164166,0.9955584,0.0002016181,0.002161295,0.000003037298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714918,0.002924708,0.01376811,0.0006371638,0.0001633743,0.0001144254,0.0008741678,0.000153226,0.009872982],"genre_scores_gemma":[0.9905881,0.0007412198,0.003963272,0.00008558259,0.000006994036,0.00007348925,0.000284852,0.00001214251,0.004244437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009386712,"threshold_uncertainty_score":0.003140211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350829289110536,"score_gpt":0.2411893465053292,"score_spread":0.2276810536142238,"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."}}