{"id":"W2141629007","doi":"10.1038/nprot.2006.491","title":"Seeing is believing: in vivo functional real-time imaging of transplanted islets using positron emission tomography (PET)","year":2006,"lang":"en","type":"article","venue":"Protocol Exchange","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Positron emission tomography; Pet imaging; Preclinical imaging; In vivo; Positron emission; Positron; Functional imaging; Nuclear medicine; Medical physics; Physics; Medicine; Nuclear physics; Radiology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002496448,0.000191201,0.0003508211,0.0004350501,0.00007001363,0.00001576537,0.00005150189,0.00005964009,0.001515529],"category_scores_gemma":[0.00002129562,0.0001724357,0.0001278828,0.0004699878,0.00005022019,0.0001480686,0.00002137332,0.00012455,0.000007316693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008687279,"about_ca_system_score_gemma":0.00006456125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005892887,"about_ca_topic_score_gemma":0.000003309847,"domain_scores_codex":[0.9986069,0.0000556997,0.0004143,0.0002891987,0.0003326979,0.0003012021],"domain_scores_gemma":[0.9994142,0.00005724564,0.0001455725,0.0001891443,0.0001060673,0.00008774147],"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":[0.000576257,0.0002513564,0.1752381,0.0008577129,0.00001963825,0.00003615952,0.0001586063,0.000008397738,0.8208831,0.000009647496,0.001528557,0.0004324174],"study_design_scores_gemma":[0.01110312,0.0003725464,0.1011933,0.004987002,0.0002054443,0.0001880838,0.0000936067,0.023184,0.848835,0.0002227091,0.009080727,0.0005344613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8522955,0.0001205215,0.0006270299,0.0003312741,0.00008913179,0.1053418,0.0000484027,0.0002106048,0.04093569],"genre_scores_gemma":[0.8811268,0.00001481401,0.005138083,0.0006956438,0.0006832369,0.1090757,0.0001135891,0.0001224422,0.003029688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07404485,"threshold_uncertainty_score":0.9993972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540664003569504,"score_gpt":0.2725619246311393,"score_spread":0.2571552845954443,"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."}}