{"id":"W2091826714","doi":"10.1097/mnm.0000000000000097","title":"Arterial input function sampling without surgery in rats for positron emission tomography molecular imaging","year":2014,"lang":"en","type":"article","venue":"Nuclear Medicine Communications","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"NIH Clinical Center; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Blood sampling; Positron emission tomography; Femoral artery; Nuclear medicine; Medicine; Sampling (signal processing); Artery; Arterial blood; Biomedical engineering; Surgery; Anesthesia; Internal medicine; Physics","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":[0.0009564483,0.001164208,0.0006920274,0.0008170081,0.0004350707,0.0004521977,0.0006149782,0.000535426,0.001541092],"category_scores_gemma":[0.0008061358,0.000387384,0.0007969137,0.0004063596,0.0006276557,0.0006703448,0.0003216622,0.001256131,0.0007603659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447395,"about_ca_system_score_gemma":0.001200953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758871,"about_ca_topic_score_gemma":0.003497743,"domain_scores_codex":[0.9995098,0.00005930523,0.00003485211,0.0001498397,0.0001595586,0.0000865421],"domain_scores_gemma":[0.9990788,0.0001018974,0.0002823369,0.0002302758,0.0001992168,0.0001074161],"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":[0.0009258935,0.0003417218,0.001667153,0.0001280867,0.00003044396,0.0001370237,0.0000647938,0.0005305156,0.9729413,0.0004525061,0.0002346588,0.02254588],"study_design_scores_gemma":[0.0001175211,0.004071807,0.008069263,0.00002815465,0.0001533292,0.0005995443,0.00006340635,0.004379963,0.9771952,0.0003612838,0.004919903,0.00004072133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6997434,0.001672884,0.2935575,0.0002639367,0.0001899322,0.0006506638,0.0009467708,0.001281733,0.001693037],"genre_scores_gemma":[0.7572747,0.003478213,0.2280999,0.000401399,0.0001285046,0.00202244,0.001715606,0.0003596423,0.006519592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001758871,"threshold_uncertainty_score":0.005155444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422847584717892,"score_gpt":0.3389578285850526,"score_spread":0.2966730701132634,"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."}}