{"id":"W2299770579","doi":"10.1117/12.2217249","title":"Clinical workflow for spinal curvature measurement with portable ultrasound","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workflow; Computer science; Ultrasound; Curvature; Biomedical engineering; Acoustics; Medical physics; Radiology; Medicine; Physics; Mathematics; Geometry","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":[0.00675683,0.001449707,0.001134248,0.002891909,0.0008313952,0.002335503,0.002170384,0.001345943,0.01530926],"category_scores_gemma":[0.01351286,0.001078293,0.000934231,0.000991546,0.0007360644,0.001113548,0.002318022,0.001796151,0.01163074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021439,"about_ca_system_score_gemma":0.002564641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004128777,"about_ca_topic_score_gemma":0.003585582,"domain_scores_codex":[0.9953506,0.001568979,0.0004547705,0.0007168184,0.001724067,0.0001846884],"domain_scores_gemma":[0.9913617,0.002666508,0.000749104,0.001776821,0.002773327,0.0006725009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00179116,0.0003570906,0.04027073,0.001594292,0.0001700019,0.002210998,0.002213063,0.00803267,0.149517,0.002232892,0.05082658,0.7407835],"study_design_scores_gemma":[0.0009233999,0.003020382,0.1750243,0.002881603,0.0005437367,0.01619607,0.003524585,0.207309,0.274338,0.01297284,0.3021358,0.001130382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03185441,0.001660373,0.9093999,0.002271928,0.0005166196,0.002129268,0.00195964,0.03878095,0.01142694],"genre_scores_gemma":[0.2119334,0.001139864,0.7754786,0.001108937,0.0002959754,0.001748103,0.001772049,0.002944395,0.003578726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01530926,"threshold_uncertainty_score":0.05121464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444943456095893,"score_gpt":0.275526360293828,"score_spread":0.2510769257328691,"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."}}