{"id":"W2118902366","doi":"10.1016/j.medengphy.2009.01.003","title":"3D reconstruction of the spine from biplanar X-rays using parametric models based on transversal and longitudinal inferences","year":2009,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":370,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Centre National de la Recherche Scientifique","keywords":"3D reconstruction; Transversal (combinatorics); Position (finance); Iterative reconstruction; Computer science; Reconstruction algorithm; Parametric statistics; Orientation (vector space); Artificial intelligence; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000679417,0.0001223116,0.0002488982,0.00006096642,0.00002739337,0.000007612465,0.00005250185,0.00007218842,0.00001889817],"category_scores_gemma":[0.00008466263,0.00008114132,0.00006992064,0.0003023553,0.00004603762,0.00004536517,0.000005947375,0.0001626882,4.157079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004071679,"about_ca_system_score_gemma":0.00006380431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007956319,"about_ca_topic_score_gemma":0.000001495924,"domain_scores_codex":[0.9991291,0.00001182967,0.0001733186,0.000158445,0.0004031727,0.0001241235],"domain_scores_gemma":[0.9995918,0.00007959521,0.00004328983,0.0001500361,0.00002545784,0.0001098538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001408853,0.002040029,0.09103183,0.0002112326,0.0004149882,0.00006228618,0.0002809298,0.6533486,0.002579946,0.002910352,0.00004824661,0.2469307],"study_design_scores_gemma":[0.001032952,0.0002676985,0.144192,0.0006645164,0.0001544874,0.000006479716,0.000006163152,0.8508056,0.002569664,0.0002162026,0.00000727984,0.00007688923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740826,0.0002139569,0.02486786,0.000468211,0.0001391512,0.0001337306,0.000007147283,0.0000268063,0.00006049989],"genre_scores_gemma":[0.9970841,0.00005211723,0.00259529,0.000119394,0.0001318074,0.000003803004,0.000005442146,0.000007404636,5.801178e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2468538,"threshold_uncertainty_score":0.3308847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264725080323837,"score_gpt":0.255367463068319,"score_spread":0.2227202122650807,"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."}}