{"id":"W2066148492","doi":"10.1118/1.2031003","title":"Po‐Poster ‐ 24: A new tool to perform the timing alignment of the detectors in a PET scanner","year":2005,"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":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Scanner; Scintillator; Detector; Positron emission tomography; Physics; Optics; Nuclear medicine; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001190726,0.0006893983,0.0004495774,0.0009124612,0.0004786338,0.0009872387,0.001465575,0.001002926,0.02142793],"category_scores_gemma":[0.002500039,0.0006629694,0.0003521001,0.0006692395,0.0004649759,0.001360792,0.00105209,0.0009866303,0.008286056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003053411,"about_ca_system_score_gemma":0.0006337243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503331,"about_ca_topic_score_gemma":0.0007158379,"domain_scores_codex":[0.9992669,0.00009061832,0.00005890818,0.0001649784,0.0003705991,0.00004793757],"domain_scores_gemma":[0.998066,0.0005025456,0.0002009075,0.0005485657,0.0004839561,0.0001978737],"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":[0.0008674301,0.000195121,0.003171297,0.0003645392,0.00009248828,0.0005747235,0.00033614,0.002650567,0.5886673,0.005258975,0.01982262,0.3779987],"study_design_scores_gemma":[0.0002491013,0.001030137,0.008213117,0.00006615323,0.0001657586,0.004236024,0.00008896527,0.05385207,0.6455287,0.003015154,0.2833116,0.000243238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02943816,0.0005428361,0.9414315,0.0004834572,0.0007838227,0.0003166806,0.0004404557,0.01524501,0.01131814],"genre_scores_gemma":[0.1051283,0.0002110289,0.87523,0.0002355938,0.0001632197,0.0002818011,0.0004491742,0.001565803,0.01673514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02142793,"threshold_uncertainty_score":0.07168359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551778676905862,"score_gpt":0.3057842113090829,"score_spread":0.2802664245400243,"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."}}