{"id":"W2793265488","doi":"10.2967/jnumed.117.203414","title":"A Noninvasive Method for Quantifying Cerebral Blood Flow by Hybrid PET/MRI","year":2018,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Cerebral blood flow; Nuclear medicine; Gold standard (test); Nuclear magnetic resonance; Medicine; Biomedical engineering; Physics; Radiology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0005598339,0.0001537299,0.0005200276,0.0001419848,0.0001368495,0.000008289919,0.000160934,0.00004222886,0.0003993592],"category_scores_gemma":[0.0003384802,0.000108845,0.0001582393,0.0001579412,0.000171528,0.00009818496,0.00002901878,0.0002984506,0.00001158581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004795789,"about_ca_system_score_gemma":0.00006329611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008204313,"about_ca_topic_score_gemma":0.000001019182,"domain_scores_codex":[0.9986911,0.00002561527,0.000551907,0.0001804101,0.000309557,0.0002414074],"domain_scores_gemma":[0.9983435,0.0001476534,0.0004406589,0.0002431901,0.0005771496,0.000247809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007516857,0.0004597098,0.00009803284,0.000133423,0.0002206799,0.0003036485,0.0007589238,0.000007591388,0.2549364,0.00209259,0.7169015,0.02333584],"study_design_scores_gemma":[0.008028263,0.009482699,0.0001644328,0.001124775,0.001237387,0.0160138,0.0009512252,0.00779099,0.04240132,0.002642665,0.909897,0.0002654699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02764685,0.0005807996,0.9246821,0.04351253,0.0003645186,0.0007434513,0.00003837452,0.0001006149,0.002330804],"genre_scores_gemma":[0.1134054,0.0003282706,0.878655,0.004624926,0.002478852,0.000009090058,0.00001436121,0.00007371022,0.0004103809],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2125351,"threshold_uncertainty_score":0.443857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968046815443985,"score_gpt":0.3821735312651902,"score_spread":0.3424930631107503,"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."}}