{"id":"W4309270145","doi":"10.1007/s40846-022-00764-x","title":"Assessment and Improvement of a Novel ultrasound-based 3D Reconstruction Method: Registered for Lumbar Spine","year":2022,"lang":"en","type":"article","venue":"Journal of Medical and Biological Engineering","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrasound; Intraclass correlation; 3D ultrasound; Lumbar spine; Iterative reconstruction; Reliability (semiconductor); Tomography; Biomedical engineering; Lumbar; Nuclear medicine; Medicine; Mathematics; Radiology; Reproducibility; Physics; Surgery; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001053906,0.0006330331,0.0003759004,0.001086576,0.0002115492,0.001143949,0.0006507291,0.001264266,0.002369832],"category_scores_gemma":[0.002852632,0.0004177124,0.0005708789,0.0007393408,0.0002494246,0.0009080318,0.0006190198,0.0004792628,0.001129995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970159,"about_ca_system_score_gemma":0.0006681554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058917,"about_ca_topic_score_gemma":0.001562738,"domain_scores_codex":[0.9991419,0.0001496138,0.00004956626,0.0001603555,0.0004569266,0.00004161124],"domain_scores_gemma":[0.9991412,0.0002069323,0.00009021177,0.0001194383,0.0004060395,0.00003623221],"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":[0.0004928484,0.0001707633,0.00992741,0.000609388,0.0001845064,0.0002496532,0.0002879698,0.02333403,0.3602265,0.001819193,0.003080225,0.5996175],"study_design_scores_gemma":[0.000046409,0.0004653703,0.02203239,0.00009166997,0.0003320362,0.002923929,0.0001593563,0.7770262,0.1846008,0.0008190345,0.01134068,0.0001622272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08436474,0.001653352,0.9095839,0.0002640239,0.0001655502,0.000111926,0.0003190119,0.00156007,0.001977358],"genre_scores_gemma":[0.352417,0.001323489,0.6421066,0.0001495553,0.00009048074,0.00008799434,0.0004543282,0.0003909064,0.002979703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002369832,"threshold_uncertainty_score":0.007927835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924696468217981,"score_gpt":0.3442947644932499,"score_spread":0.2950477998110701,"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."}}