{"id":"W3089084344","doi":"10.1038/s41598-020-72832-8","title":"Quantification of regional murine ozone-induced lung inflammation using [18F]F-FDG microPET/CT imaging","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Innovation Saskatchewan; Universities Space Research Association; University of Saskatchewan","keywords":"Nuclear medicine; Lung; Inflammation; Positron emission tomography; Medicine; Ozone; Respiratory system; Chemistry; Pathology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358691,0.0006396372,0.0003506891,0.0009089849,0.0001841159,0.0003996264,0.0002816871,0.0007901701,0.001271231],"category_scores_gemma":[0.00009994127,0.0003373036,0.0004312161,0.0002875806,0.0003160998,0.0003661606,0.0002114726,0.0008854821,0.0002843848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003454506,"about_ca_system_score_gemma":0.0001945978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121887,"about_ca_topic_score_gemma":0.001466341,"domain_scores_codex":[0.9998034,0.00002377773,0.00001280671,0.00005911132,0.0000456214,0.000055319],"domain_scores_gemma":[0.9998403,0.00002512642,0.00005657129,0.00001156578,0.00002493426,0.00004146402],"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":[0.000164619,0.00003031851,0.0002751993,0.00002965717,0.000005039778,0.00003595519,0.00001159752,0.0001114035,0.9986908,0.00002355538,0.00001627254,0.0006055228],"study_design_scores_gemma":[0.00002141997,0.0007166431,0.01109751,0.00001325502,0.00004682435,0.0002942176,0.00004977002,0.003076766,0.9839815,0.00003703641,0.0006506592,0.00001438664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674475,0.00395543,0.02487668,0.000089241,0.00005355188,0.0001484801,0.001377748,0.0003703664,0.001680917],"genre_scores_gemma":[0.9631816,0.002413951,0.02823584,0.0001106504,0.00002395446,0.0003249708,0.001316134,0.00007985846,0.004313134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001271231,"threshold_uncertainty_score":0.004252672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08650295336338396,"score_gpt":0.3283762718930224,"score_spread":0.2418733185296384,"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."}}