{"id":"W2963297497","doi":"10.1016/j.jmir.2019.06.013","title":"Establishing a Concise and Unified PET/MR requisition process","year":2019,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Requisition; Medical physics; Process (computing); Computer science; Medicine; Nuclear medicine; Business; Operating system","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":[0.06614614,0.001592407,0.001559272,0.006853375,0.00447075,0.01028488,0.003188949,0.00514804,0.01208252],"category_scores_gemma":[0.1293897,0.002343013,0.001534533,0.001845956,0.002839546,0.009319016,0.009505388,0.007800543,0.01698088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002527979,"about_ca_system_score_gemma":0.0171271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810844,"about_ca_topic_score_gemma":0.002591067,"domain_scores_codex":[0.9666918,0.0127087,0.006122934,0.001844417,0.01121823,0.001413885],"domain_scores_gemma":[0.8624024,0.05568041,0.0100547,0.01923447,0.04756027,0.005067728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005856084,0.0008996896,0.005167628,0.001494846,0.0001302445,0.009214213,0.006650751,0.008997355,0.02998615,0.0944711,0.1475277,0.6948747],"study_design_scores_gemma":[0.0001849829,0.0009796154,0.007390485,0.00306965,0.0001832936,0.008821416,0.004099821,0.02881403,0.04143264,0.1015436,0.8029982,0.0004822608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008949196,0.001524897,0.9401603,0.01584341,0.001723491,0.006821919,0.0004450525,0.005703469,0.01882824],"genre_scores_gemma":[0.05778591,0.001622174,0.9083632,0.004730977,0.001757382,0.003273917,0.001150226,0.001505348,0.01981094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06614614,"threshold_uncertainty_score":0.3498184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985253960551448,"score_gpt":0.3625188503085398,"score_spread":0.3426663107030253,"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."}}