{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456651,0.0001620731,0.0003606818,0.0004573021,0.000128014,0.00008450172,0.0003467474,0.00003872359,0.0001188917],"category_scores_gemma":[0.0001744581,0.0001467937,0.00004990305,0.000957982,0.0006964289,0.0002432192,0.00006240317,0.000177061,0.00001118068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003489026,"about_ca_system_score_gemma":0.0001237476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673915,"about_ca_topic_score_gemma":0.000004225377,"domain_scores_codex":[0.9983425,0.0000326921,0.0003826248,0.0005009176,0.0003208639,0.0004204529],"domain_scores_gemma":[0.9988798,0.0001381944,0.0001480345,0.0003420786,0.0002764242,0.0002155067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002357982,0.0002174381,0.001404431,0.00006447664,0.000006856543,0.000006284881,0.0003271305,0.000001092079,0.9818935,0.0004737866,0.001517137,0.01406429],"study_design_scores_gemma":[0.002052945,0.0004890718,0.001519073,0.000455874,0.0002107914,0.000378398,0.0002416108,0.9244401,0.0546678,0.0004140386,0.01465828,0.0004720615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658731,0.0001225341,0.0271515,0.004534056,0.0001686868,0.001363735,0.0000257626,0.0001199039,0.0006407083],"genre_scores_gemma":[0.8329661,0.0009903401,0.1653706,0.0004288359,0.00003609112,0.00005868984,0.000001477076,0.00002029351,0.0001275572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9272257,"threshold_uncertainty_score":0.5986072,"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."}}