{"id":"W2270427312","doi":"10.5623/cig2011-026","title":"Image Matching and Surface Registration for 3D Reconstruction of a Scoliotic Torso","year":2011,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Torso; Photogrammetry; Artificial intelligence; Computer vision; Image registration; Computer science; Scoliosis; 3D reconstruction; Matching (statistics); Surface reconstruction; Surface (topology); Medicine; Mathematics; Image (mathematics); Anatomy; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005755484,0.0004557011,0.00064667,0.001908958,0.000377562,0.001171057,0.0006565612,0.0009287631,0.003191604],"category_scores_gemma":[0.001766069,0.0005713364,0.0008504546,0.001376756,0.0003860204,0.0006706349,0.0008877165,0.0007015133,0.001007746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099639,"about_ca_system_score_gemma":0.001200689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003495781,"about_ca_topic_score_gemma":0.002663191,"domain_scores_codex":[0.9995881,0.00007012418,0.00003212424,0.00007656639,0.0001826576,0.00005041183],"domain_scores_gemma":[0.9996812,0.0001031104,0.00003469591,0.00007776582,0.0000841986,0.00001891494],"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":[0.0007827129,0.0001695023,0.005082402,0.0002462779,0.0001202,0.0005672439,0.0004626007,0.04190346,0.1798878,0.004476338,0.003332924,0.7629685],"study_design_scores_gemma":[0.00007801281,0.0003473238,0.01858501,0.00004550278,0.0001574373,0.004474178,0.0003816258,0.777953,0.1808102,0.006482909,0.01057174,0.0001130006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08530237,0.000329794,0.9093624,0.0002450733,0.00006205352,0.0001501331,0.0002667813,0.002220203,0.002061168],"genre_scores_gemma":[0.4572961,0.0004691485,0.5382841,0.00009243838,0.00003812774,0.000120987,0.0004920396,0.0005730826,0.002633956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003495781,"threshold_uncertainty_score":0.01067692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664735018231494,"score_gpt":0.276661086519184,"score_spread":0.240013736336869,"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."}}