{"id":"W1992305807","doi":"10.1118/1.2965992","title":"Sci‐Sat AM(1): Imaging‐08: Small animal APD PET detector with submillimetric resolution for molecular imaging","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Lyso-; Image resolution; Detector; Optics; Avalanche photodiode; Physics; Pixel; Preamplifier; Full width at half maximum; Scintillator; Resolution (logic); Optoelectronics; CMOS; Computer science; Amplifier; 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":[0.0004798693,0.0007436401,0.000474685,0.0008292909,0.0004597941,0.0007649656,0.0009331813,0.0008967791,0.03838308],"category_scores_gemma":[0.0004365245,0.000387969,0.0003323855,0.0007739828,0.0003241795,0.0008024398,0.0006614017,0.0005678816,0.01335245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606199,"about_ca_system_score_gemma":0.000479104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002016505,"about_ca_topic_score_gemma":0.000373484,"domain_scores_codex":[0.999774,0.00002746179,0.00001129504,0.00006618469,0.00009393189,0.00002708294],"domain_scores_gemma":[0.9997808,0.00004851685,0.00002738278,0.00003541717,0.00006604738,0.00004177224],"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":[0.0003756986,0.0001088319,0.001037532,0.000336072,0.00002158395,0.0002564371,0.00004312331,0.0002918686,0.9316832,0.001564008,0.008849697,0.05543196],"study_design_scores_gemma":[0.00008395247,0.0006113712,0.00563412,0.00003170441,0.00004923873,0.001653676,0.00002154333,0.007771973,0.867664,0.0004374489,0.1160014,0.00003945881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4566375,0.004252109,0.3985477,0.001757306,0.001417357,0.001008943,0.006053148,0.01539749,0.1149285],"genre_scores_gemma":[0.7303432,0.002969723,0.1445929,0.00134726,0.0006194819,0.001260047,0.01005984,0.001308987,0.1074986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03838308,"threshold_uncertainty_score":0.1284041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280399495416147,"score_gpt":0.2837147117468344,"score_spread":0.260910716792673,"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."}}