{"id":"W1996120107","doi":"10.1021/bm9010722","title":"Lung Perfusion Imaging with Monosized Biodegradable Microspheres","year":2010,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perfusion; Microsphere; Lung; Scintigraphy; Chemistry; Blood flow; Nuclear medicine; Perfusion scanning; Albumin; Biomedical engineering; Medicine; Radiology; Internal medicine; Biochemistry","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":[0.0001475758,0.0001886345,0.0002695914,0.00006044726,0.0001958132,0.00003047628,0.00009361251,0.00006871251,0.00018171],"category_scores_gemma":[0.0001039886,0.000123124,0.0000664347,0.0001586281,0.0004764949,0.00003981916,0.00005911121,0.0002614078,0.00005005247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117721,"about_ca_system_score_gemma":0.0000639431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296643,"about_ca_topic_score_gemma":0.00003607031,"domain_scores_codex":[0.9989564,0.00002693904,0.0001639706,0.0003283776,0.00019415,0.0003301975],"domain_scores_gemma":[0.9993386,0.00004842724,0.00005415636,0.0002984919,0.00009251474,0.000167764],"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":[0.0001247119,0.00009865884,0.1402583,0.00004292979,0.00003799842,0.0005164424,0.000156543,2.176221e-8,0.8403204,0.00005422984,0.007493665,0.01089604],"study_design_scores_gemma":[0.007349385,0.000371073,0.1741657,0.0004729583,0.0005424189,0.00433227,0.0006218523,0.001602715,0.7649419,0.0001341971,0.04463315,0.0008323931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884945,0.002083306,0.0005055985,0.0037829,0.0002455197,0.0001918394,0.00000753304,0.0001794394,0.00450932],"genre_scores_gemma":[0.9815367,0.00005397635,0.01633268,0.0009219563,0.0001172545,0.00001888971,0.00002319183,0.00002869363,0.0009666794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07537854,"threshold_uncertainty_score":0.5020852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006801771100899033,"score_gpt":0.2604880586318286,"score_spread":0.2536862875309295,"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."}}