{"id":"W4387440713","doi":"10.1002/mrm.29869","title":"<scp>ISMRM</scp> Open Science Initiative for Perfusion Imaging (OSIPI): <scp>ASL</scp> pipeline inventory","year":2023,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institutes of Health, Pakistan; Eurostars; National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health; Canada First Research Excellence Fund; Heart Foundation; National Institute for Health and Care Research; NIHR Nottingham Biomedical Research Centre; Wellcome Trust; Rijksdienst voor Ondernemend Nederland; European Cooperation in Science and Technology; University College London Hospitals NHS Foundation Trust; European Commission","keywords":"Pipeline transport; Pipeline (software); Computer science; Flexibility (engineering); Usability; Process (computing); Human–computer interaction; Operating system; Engineering","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01950623,0.0010309,0.0006040714,0.003301547,0.001091548,0.002311029,0.002995072,0.001268698,0.1547714],"category_scores_gemma":[0.042195,0.0009707073,0.0006344072,0.002391243,0.000955269,0.003964766,0.004450879,0.001529803,0.1260699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002450144,"about_ca_system_score_gemma":0.007718866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004825296,"about_ca_topic_score_gemma":0.006175655,"domain_scores_codex":[0.9946097,0.00114948,0.0004833595,0.0005612552,0.002809189,0.000386989],"domain_scores_gemma":[0.9218274,0.01445423,0.004825023,0.01003368,0.04026022,0.00859945],"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":[0.0003794405,0.0002489725,0.002506528,0.0004791201,0.00001369047,0.0001181378,0.0003079409,0.0003543344,0.004683523,0.001881472,0.8579041,0.1311227],"study_design_scores_gemma":[0.0001900147,0.0004032103,0.01278662,0.0003775976,0.00002683828,0.0004505907,0.0002115329,0.002494632,0.01057183,0.003257831,0.9691179,0.0001113917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03460269,0.001771459,0.28362,0.01939416,0.001815917,0.01135861,0.1445267,0.2091307,0.2937798],"genre_scores_gemma":[0.08376782,0.00180411,0.3956881,0.009129633,0.001223561,0.01872381,0.2766058,0.05269138,0.1603656],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9970049,"threshold_uncertainty_score":0.5177621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04863948036514203,"score_gpt":0.3697056428655818,"score_spread":0.3210661625004397,"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."}}