{"id":"W4294123807","doi":"10.1111/jon.13042","title":"The Boston ASL Template and Simulator: Initial development and implementation","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroimaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Template; Spatial normalization; Computer science; Arterial spin labeling; Contrast (vision); Artificial intelligence; Medicine; Voxel; Nuclear medicine; Perfusion; Radiology; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003380331,0.001276159,0.0007889339,0.001057984,0.0003249519,0.001403045,0.004812056,0.001294518,0.02377072],"category_scores_gemma":[0.009165434,0.001122895,0.0009577797,0.000833525,0.000614785,0.001706505,0.002297935,0.001506368,0.01091785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008842229,"about_ca_system_score_gemma":0.00149722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482893,"about_ca_topic_score_gemma":0.003150135,"domain_scores_codex":[0.9990088,0.0002297589,0.0001215861,0.0001583245,0.0004064529,0.00007501205],"domain_scores_gemma":[0.9976656,0.000754409,0.0001159935,0.0004186016,0.0008074488,0.0002379547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002232633,0.0007366251,0.00686364,0.001304322,0.0004375783,0.001389959,0.0009256291,0.1534876,0.04195426,0.0239386,0.1023804,0.6643488],"study_design_scores_gemma":[0.0003953244,0.0003996115,0.00147961,0.0001293446,0.00006638688,0.0007901438,0.0001066898,0.8507531,0.04196448,0.006632799,0.09714456,0.0001379216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004790711,0.0001731576,0.9503379,0.0001829668,0.0001037634,0.0004881776,0.001326772,0.04088547,0.001711079],"genre_scores_gemma":[0.06115076,0.0004325801,0.9117919,0.0001945706,0.00006208819,0.001428477,0.008220162,0.009922162,0.006797345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02377072,"threshold_uncertainty_score":0.079521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798645975373001,"score_gpt":0.384118889723578,"score_spread":0.356132429969848,"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."}}