{"id":"W2127124513","doi":"10.1109/nssmic.1997.670582","title":"Design of a microvolumetric blood counter/sampler for metabolic PET imaging in rats and mice","year":2002,"lang":"en","type":"article","venue":"1997 IEEE Nuclear Science Symposium Conference Record","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Polytechnique Montréal","keywords":"Blood sampling; Positron emission tomography; Biomedical engineering; Blood flow; Nuclear medicine; Scintillator; Arterial blood; Positron; Catheter; Pet imaging; Materials science; Medicine; Physics; Radiology; Optics; Anesthesia; Internal medicine; Detector","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":[0.002838566,0.001416065,0.001551438,0.001508951,0.0007349005,0.0009256151,0.003014292,0.001472078,0.002570128],"category_scores_gemma":[0.001688574,0.001171457,0.0008242536,0.00063356,0.0006413275,0.000688116,0.0007606322,0.001228271,0.001910584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189478,"about_ca_system_score_gemma":0.00178508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008586412,"about_ca_topic_score_gemma":0.0009769524,"domain_scores_codex":[0.9987374,0.0002234026,0.0001211246,0.0003829952,0.0004010515,0.0001340577],"domain_scores_gemma":[0.9980456,0.0003502447,0.0003391272,0.0002373978,0.0006117041,0.0004160851],"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":[0.003673438,0.001166977,0.007506681,0.0005482201,0.0001663901,0.000173049,0.0001741757,0.002830619,0.9016795,0.002726407,0.002454492,0.07690018],"study_design_scores_gemma":[0.0009494344,0.006107401,0.007759537,0.00008139703,0.0005337602,0.0007525794,0.00005552902,0.02914672,0.9181683,0.0007286275,0.03551397,0.0002026479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.121601,0.0009665508,0.8607118,0.0005888314,0.0004847854,0.005449499,0.0011876,0.007038161,0.001971721],"genre_scores_gemma":[0.111846,0.0007646936,0.8660237,0.0007678929,0.000126877,0.01408808,0.001127119,0.0005051234,0.004750539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003014292,"threshold_uncertainty_score":0.01501197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044296857873195,"score_gpt":0.2868027874036153,"score_spread":0.2463598188248833,"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."}}