{"id":"W2015864178","doi":"10.1118/1.2244685","title":"Sci‐Fri PM Imaging‐10: LabPETtm: A Second‐Generation APD‐Based Digital Scanner for High‐Resolution Small Animal PET Imaging","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Lyso-; Scanner; Physics; Optics; Image resolution; Avalanche photodiode; Imaging phantom; Medical imaging; Full width at half maximum; Scintillator; Computer science; Detector; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000649771,0.0008881992,0.0005925077,0.0009830788,0.000248565,0.0009278852,0.001435974,0.0008956272,0.01157056],"category_scores_gemma":[0.0003525312,0.0005693411,0.0003158473,0.0006075801,0.0004809333,0.0009261143,0.0007732401,0.0008045097,0.003891481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008742619,"about_ca_system_score_gemma":0.0006322815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005596029,"about_ca_topic_score_gemma":0.0008049683,"domain_scores_codex":[0.9997532,0.00003402296,0.000009165901,0.00006178195,0.0001025629,0.00003919961],"domain_scores_gemma":[0.9998719,0.00002956782,0.00001870993,0.0000242922,0.00001976123,0.00003573962],"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":[0.001275255,0.0001080287,0.001052833,0.0005910424,0.00005655029,0.000751953,0.00007610537,0.001197356,0.8678049,0.002120025,0.01941212,0.1055537],"study_design_scores_gemma":[0.0003033979,0.001336752,0.006765435,0.00005632203,0.0001255496,0.01274995,0.00003882314,0.03013741,0.7791553,0.0007282204,0.1684434,0.0001594374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3387402,0.01285038,0.5369937,0.001675788,0.0005909753,0.00152257,0.01418519,0.04192188,0.0515193],"genre_scores_gemma":[0.5727801,0.003401856,0.3508008,0.001068362,0.0002169466,0.001630282,0.01566255,0.001627051,0.05281213],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01157056,"threshold_uncertainty_score":0.03870732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968107624441815,"score_gpt":0.2802144077471583,"score_spread":0.2605333315027402,"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."}}