{"id":"W2462601922","doi":"10.1016/j.dib.2016.06.013","title":"Human lung epithelial cell A549 proteome data after treatment with titanium dioxide and carbon black","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Ottawa","funders":"Health Canada; Clean Air Regulatory Agenda","keywords":"RefSeq; Proteome; A549 cell; Proteomics; Mass spectrometry; Chemistry; Human lung; Carbon black; Titanium dioxide; Carbon dioxide; Lung; Biochemistry; Cell; Chromatography; Medicine; Internal medicine; Materials science; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007279945,0.000160064,0.0001510032,0.00002182902,0.00003766056,0.00002524201,0.0005275259,0.00006965517,0.00008076539],"category_scores_gemma":[0.000006567566,0.0001074658,0.000008035348,0.00004933451,0.0001181097,0.0002260415,0.0005782376,0.00008176133,0.000005205566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008081568,"about_ca_system_score_gemma":0.00002683281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704903,"about_ca_topic_score_gemma":0.0002524224,"domain_scores_codex":[0.9989076,0.000006161432,0.0001751074,0.0006131114,0.00009409041,0.0002039815],"domain_scores_gemma":[0.997411,0.00002093108,0.000073615,0.002420715,0.00001289786,0.00006085318],"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":[0.0001056175,0.0002149821,0.01625286,0.0001022439,0.00002542058,0.00003931714,0.0000585306,4.499465e-7,0.9799813,0.0001859932,0.0003744889,0.002658814],"study_design_scores_gemma":[0.00229433,0.0001194309,0.002029517,0.00026375,0.00007439993,0.00001658822,0.00003275445,0.0003620817,0.9064693,0.0007606848,0.08699924,0.000577959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808266,0.0001421307,0.004824375,0.0004748611,0.000007964559,0.0007280607,0.009533169,0.0001239176,0.003338936],"genre_scores_gemma":[0.9758002,0.0002156999,0.02045763,0.00003817415,0.0001431267,0.000390919,0.001369139,0.00004749884,0.001537681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08662475,"threshold_uncertainty_score":0.4382329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045914537911959,"score_gpt":0.2796478373803022,"score_spread":0.2591886920011826,"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."}}