{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003025384,0.0003092026,0.0002216502,0.0002201827,0.0001002779,0.0002994833,0.000292991,0.0002731323,0.0005860865],"category_scores_gemma":[0.0003331161,0.0001824492,0.0001445512,0.0001099825,0.0002224588,0.0003989679,0.0001854567,0.0002394155,0.0002291564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919309,"about_ca_system_score_gemma":0.0002617218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301295,"about_ca_topic_score_gemma":0.001289196,"domain_scores_codex":[0.999861,0.00003719022,0.000005772802,0.00003129653,0.00003509098,0.00002970803],"domain_scores_gemma":[0.9998546,0.00003746652,0.00004673044,0.000006645907,0.00002848737,0.00002607983],"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":[0.00009874118,0.000006133047,0.0001799385,0.00002114474,0.000003036264,0.00003358853,0.000005860404,0.00009333439,0.997296,0.00008802641,0.00004697814,0.002127026],"study_design_scores_gemma":[0.00002483287,0.0005257419,0.00256562,0.000005434723,0.00002022567,0.0003838323,0.0000147013,0.003444598,0.9915063,0.00007750069,0.001419025,0.00001233238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494386,0.009465405,0.03846643,0.0002068774,0.00004816712,0.00005072748,0.0001455068,0.0004073369,0.001770944],"genre_scores_gemma":[0.9657477,0.001898272,0.02985114,0.0001003481,0.00003755168,0.00005884295,0.00016251,0.0000355682,0.002108181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301295,"threshold_uncertainty_score":0.003569245,"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."}}