{"id":"W1843413878","doi":"10.1155/2008/923879","title":"Positron Emission Tomography Scanning and Gastroenterology","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Gastroenterology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital; Western University","funders":"","keywords":"Positron emission tomography; Nuclear medicine; Medical physics; Brain positron emission tomography; Tomography; Positron emission; Medicine; Preclinical imaging; Radiology; Biology; Genetics; In vivo","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001940983,0.0003682988,0.0006005593,0.000752175,0.000379735,0.001997089,0.0004554485,0.003075836,0.006305195],"category_scores_gemma":[0.005995423,0.0002338919,0.0003866704,0.001007008,0.001910329,0.002077313,0.001046326,0.004773695,0.002383083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002321,"about_ca_system_score_gemma":0.001326246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005198353,"about_ca_topic_score_gemma":0.003939696,"domain_scores_codex":[0.9987884,0.0005782061,0.00007228435,0.0001507491,0.0002797351,0.0001307357],"domain_scores_gemma":[0.9977456,0.001083751,0.0002520604,0.0001080174,0.0005483624,0.0002622271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002162982,0.00008405359,0.01477399,0.001260521,0.0001707267,0.001797054,0.0006093155,0.0003932829,0.00102328,0.06881435,0.370683,0.5401742],"study_design_scores_gemma":[0.00004093719,0.0001151769,0.01658175,0.002451397,0.00004636447,0.009497636,0.0005693763,0.0001796448,0.0003272211,0.04654183,0.9235868,0.00006188674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001834911,0.8362799,0.0008415974,0.1324859,0.004101253,0.00001249213,0.0000753928,0.00003908329,0.02432943],"genre_scores_gemma":[0.07810271,0.8081191,0.002936363,0.06094344,0.01860187,0.00005468001,0.0001973325,0.00006156106,0.03098284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006305195,"threshold_uncertainty_score":0.02109295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008189120409315876,"score_gpt":0.2353476446212566,"score_spread":0.2271585242119407,"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."}}