{"id":"W4406223548","doi":"10.1002/alz.094377","title":"Biological Factors Influencing [18F]MK6240 and [18F]FTP Correlation in Target Regions","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Entorhinal cortex; Putamen; Region of interest; Temporal cortex; Voxel; Neuroscience; Akaike information criterion; Binding potential; Partial volume; Parahippocampal gyrus; Correlation; Temporal lobe; Psychology; Nuclear medicine; Medicine; Positron emission tomography; Artificial intelligence; Hippocampus; Computer science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009245895,0.0004001483,0.0004707955,0.000605288,0.0003131847,0.0007249822,0.0004068229,0.0004296,0.001646206],"category_scores_gemma":[0.002055062,0.0002683316,0.0003119668,0.0005066922,0.0004046998,0.0002858786,0.0003092893,0.0002194337,0.0003550569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338744,"about_ca_system_score_gemma":0.0002503259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007991956,"about_ca_topic_score_gemma":0.007431411,"domain_scores_codex":[0.999622,0.00009182419,0.00002356431,0.0001400802,0.0000669049,0.00005569822],"domain_scores_gemma":[0.9990851,0.0003836636,0.0002165348,0.0001516624,0.000124686,0.0000383396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002726241,0.0001019736,0.7324238,0.0003477408,0.0009901662,0.0007789679,0.0008672098,0.003169385,0.2199196,0.0008248162,0.0005587385,0.03729134],"study_design_scores_gemma":[0.00001475514,0.0001205659,0.9742891,0.00001142089,0.0002304021,0.0009882968,0.0001343127,0.004027003,0.0185979,0.0008507857,0.0007222455,0.00001318202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930723,0.0007550263,0.004884824,0.00002480236,0.000005063935,0.00001059847,0.00037588,0.00004979489,0.0008216628],"genre_scores_gemma":[0.9985494,0.00007531588,0.0008606608,0.000009356489,0.000003146499,0.000008490606,0.0002521935,0.00002170939,0.0002197069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007991956,"threshold_uncertainty_score":0.0158909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499846932029011,"score_gpt":0.3223605511496807,"score_spread":0.2723758579467795,"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."}}