{"id":"W2995721810","doi":"10.1007/s10334-019-00817-4","title":"Cell density quantification with TurboSPI: R2* mapping with compensation for off-resonance fat modulation","year":2019,"lang":"en","type":"article","venue":"Magnetic Resonance Materials in Physics Biology and Medicine","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"IWK Health Centre; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Voxel; In vivo; In silico; Chemistry; Biological system; Computer science; Artificial intelligence; Biology; Biochemistry; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001753283,0.001379638,0.0007992656,0.00197755,0.001084959,0.001577819,0.001446659,0.001721328,0.005244538],"category_scores_gemma":[0.001600393,0.0008572004,0.0003937334,0.001866795,0.0009530318,0.001093062,0.0009629146,0.001508536,0.003066663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741696,"about_ca_system_score_gemma":0.0007335802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970473,"about_ca_topic_score_gemma":0.003820338,"domain_scores_codex":[0.9986381,0.0002332832,0.00008790268,0.0003764321,0.0004566579,0.0002076796],"domain_scores_gemma":[0.9988874,0.0002630064,0.0001080024,0.0002814218,0.0003952348,0.000064985],"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":[0.0001925737,0.00006953114,0.001384072,0.0001938556,0.0000459045,0.00007388715,0.0003537883,0.0008492944,0.9709266,0.002321533,0.001204958,0.02238397],"study_design_scores_gemma":[0.00001395422,0.00004432402,0.003944823,0.00002124719,0.00005361294,0.0002138356,0.00008532393,0.03196613,0.9566971,0.0007996361,0.006120192,0.00003986251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3091004,0.001719495,0.6644466,0.000413718,0.0002129276,0.000246244,0.001829996,0.008647243,0.01338323],"genre_scores_gemma":[0.4147357,0.001334685,0.564258,0.0003061897,0.0000631631,0.001060229,0.00221654,0.003672943,0.01235257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005244538,"threshold_uncertainty_score":0.01754469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378424014784314,"score_gpt":0.2413887690608492,"score_spread":0.2276045289130061,"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."}}