{"id":"W2141060914","doi":"10.1109/iembs.2008.4650078","title":"Surface reconstruction from planar x-ray images using moving least squares","year":2008,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer vision; Planar; Artificial intelligence; Biplane; Computer science; Radiography; Least-squares function approximation; Surface (topology); Iterative reconstruction; Deformation (meteorology); Computer graphics (images); Mathematics; Geometry; Materials science; Medicine; Radiology","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":[0.0005835418,0.001024874,0.0007885533,0.0008258601,0.0002433874,0.0009840586,0.0009584247,0.001006859,0.002896883],"category_scores_gemma":[0.002053634,0.0008134127,0.00116918,0.0009772177,0.0004953851,0.0007377965,0.001020377,0.001030594,0.001970796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415027,"about_ca_system_score_gemma":0.0005914058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836954,"about_ca_topic_score_gemma":0.002545712,"domain_scores_codex":[0.9994392,0.0001044195,0.00003138089,0.0001421954,0.0002520625,0.00003080807],"domain_scores_gemma":[0.9994767,0.0001659174,0.00006382282,0.0001569772,0.0001172506,0.00001934697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002065164,0.00008340381,0.0015705,0.0002595974,0.0001717419,0.0002512747,0.0002011876,0.2969117,0.1492178,0.005250322,0.002573207,0.5433027],"study_design_scores_gemma":[0.00001822236,0.00008992731,0.001469399,0.0000134682,0.00002515412,0.0003413143,0.00006207769,0.9586509,0.03063305,0.004678168,0.003965509,0.00005272104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004057179,0.00003110331,0.9948176,0.00002363676,0.000008497734,0.00001562203,0.0000354359,0.0008118546,0.0001991361],"genre_scores_gemma":[0.08082598,0.0001683965,0.9168162,0.00004063546,0.00001344017,0.00006482736,0.0004358154,0.0003156333,0.001318932],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002896883,"threshold_uncertainty_score":0.009691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231199360192782,"score_gpt":0.2080091542519413,"score_spread":0.1848892182326631,"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."}}